阅读说明：本技术 一种基于大数据的发电设备监控管理系统及方法 (Power generation equipment monitoring and management system and method based on big data ) 是由 蒋雨润 于 2020-12-29 设计创作，主要内容包括：本发明公开了一种基于大数据的发电设备监控管理系统及方法,属于发电设备管理技术领域,该系统包括数据采集模块；数据采集模块用于对发电设备的各项信息数据进行采集,利用数据分析模块对数据采集模块采集的各项信息数据进行分析,利用故障确定模块根据数据分析模块对于各项数据的分析结果对发电设备的故障原因进行确定,本发明设置有距离传感器和角度传感器,以及第一坐标分析单元和第二坐标分析单元,使得可以对风力发电设备转动过程中的实际坐标值和原始坐标值进行比较,使得可以以数据化的形式准确的展示风力发电设备的故障发生点,以此来分析故障原因,使得可以及时的确定故障原因,做出针对性的维修,减小风力发电设备的发电隐患。(The invention discloses a big data-based power generation equipment monitoring and management system and a big data-based power generation equipment monitoring and management method, which belong to the technical field of power generation equipment management, and comprise a data acquisition module; the wind power generation equipment fault diagnosis device is provided with a distance sensor, an angle sensor, a first coordinate analysis unit and a second coordinate analysis unit, so that an actual coordinate value and an original coordinate value in the rotation process of the wind power generation equipment can be compared, a fault occurrence point of the wind power generation equipment can be accurately displayed in a datamation mode, the fault reason can be analyzed, the fault reason can be timely determined, targeted maintenance can be carried out, and the power generation hidden danger of the wind power generation equipment is reduced.)

1. The utility model provides a power generation equipment control management system based on big data which characterized in that: the system comprises a data acquisition module (1), a data analysis module (2), a curve analysis module (3), a fault determination unit (4), an output module (5) and a power generation amount analysis module (6);

the power generation equipment fault diagnosis system comprises a data acquisition module (1), a data analysis module (2), a curve analysis module (3), a fault determination module (4), an output module (5) and a power generation amount analysis module (6), wherein the data acquisition module (1) is used for acquiring various information data of power generation equipment, the data analysis module (2) is used for analyzing various information data acquired by the data acquisition module (1), the curve analysis module (3) is used for fitting various information data analyzed by the data analysis module (2) into a curve and comparing the curve with an original curve, the fault determination module (4) is used for determining fault reasons of the power generation equipment according to analysis results of various data by the data analysis module (2), the output module (5) is used for outputting fault reasons and fault rates of the power generation equipment, and the power generation amount;

the output end of the data acquisition module (1) is electrically connected with the input ends of the data analysis module (2) and the generating capacity analysis module (6), the output end of the data analysis module (2) is electrically connected with the input end of the curve analysis module (3), the output ends of the data analysis module (2) and the curve analysis module (3) are electrically connected with the input end of the output module, and the data analysis module (2) is electrically connected with the fault determination unit (4).

2. The big data based monitoring and management system for power generation equipment according to claim 1, wherein: the data acquisition module (1) comprises a coordinate system establishing unit, an acquisition mounting structure, a distance sensor and an angle sensor;

the angle sensor is installed at the position of a rotating shaft of the power generation equipment and used for detecting the rotating angle of the power generation equipment, the coordinate system establishing unit is used for establishing a planar rectangular coordinate system of the position of the power generation equipment by taking the angle sensor as a circle center, the distance sensor is installed at the edge of the power generation equipment through the collecting and installing structure and used for detecting the distance between a certain position of the power generation equipment and the ground, and the collecting and installing structure is used for adjusting the position of the distance sensor.

3. The big data based monitoring and management system for power generation equipment according to claim 2, wherein: the collecting and mounting structure comprises a fixed shaft (101), a rotary bearing (102), a fixed shaft (103), a rotary shaft (104), a horizontal seat (105) and a distance sensor (106);

fixed axle (101) pass through swivel bearing (102) fixed mounting in certain position department of power generation facility, fixed axle (101) one end fixed mounting has solid fixed ring (103), gu fixed ring (103) inboard rotates through rotation axis (104) and installs horizontal seat (105), the height that highly is greater than solid fixed ring (103) of horizontal seat (105), distance sensor (106) are installed to the inside bottom of horizontal seat (105).

4. A big data based power plant monitoring and management system according to claim 3, wherein: the data analysis module (2) comprises a first coordinate analysis unit, a second coordinate analysis unit, a data comparison unit, a fault analysis unit and a fixed determination unit;

the first coordinate analysis unit is used for analyzing the actual coordinate value of the distance sensor in the planar rectangular coordinate system according to the distance data collected by the distance sensor, the second coordinate analysis unit is used for analyzing the original coordinate value of the distance sensor in the planar rectangular coordinate system according to the angle data collected by the angle sensor, the data comparison unit is used for comparing the actual coordinate value analyzed by the first coordinate analysis unit with the original coordinate value analyzed by the second coordinate analysis unit to determine whether the actual operation state of the current power generation equipment has a fault or not, the fault analysis unit is used for analyzing the reason of the fault of the power generation equipment, and the fault determination unit is used for determining the reason of the fault of the power generation equipment according to the analysis result of the fault analysis unit;

the fault determination module (4) comprises a fault reason database and a data retrieval unit;

the fault reason database is used for storing corresponding fault reasons when the power generation equipment has faults at different coordinate positions, the fault reason database is continuously expanded, and the data retrieval unit is used for retrieving fault reason data from the fault reason database;

the output end of the distance sensor is electrically connected with the input end of a first coordinate analysis unit, the output end of the angle sensor is electrically connected with the input end of a second coordinate analysis unit, the output end of the coordinate system establishing unit is electrically connected with the input ends of the first coordinate analysis unit and the second coordinate analysis unit, the output ends of the first coordinate analysis unit and the second coordinate analysis unit are electrically connected with the input end of a data comparison unit, the output end of the book comparison unit is electrically connected with the input end of a fault analysis unit, the output end of the fault analysis unit is electrically connected with the input end of a fault reason determination unit, and the output end of the fault reason determination unit is electrically connected with the input end of an output module;

the output end of the data comparison unit is electrically connected with the input end of the fault reason database, the output end of the fault reason database is electrically connected with the input end of the data calling unit, and the output end of the data calling unit is electrically connected with the input end of the fault analysis unit.

5. The big data based monitoring and management system for power generation equipment according to claim 4, wherein: the curve analysis module (3) comprises a curve fitting unit, an original curve input unit, a curve comparison unit, a fault proportion analysis unit and a fault rate calculation unit;

the system comprises a curve fitting unit, an original curve input unit, a curve comparison unit, a fault ratio analysis unit and a fault rate calculation unit, wherein the curve fitting unit is used for fitting actual coordinate values of a plurality of distance sensors in a plane rectangular coordinate system into a curve to form an actual motion curve, the original curve input unit is used for inputting a curve formed by original coordinate values of the plurality of distance sensors in the plane rectangular coordinate system into a system to form an original motion curve, the curve comparison unit is used for comparing the actual motion curve with the original motion curve, the fault ratio analysis unit is used for analyzing the difference ratio between the curve fitted by the curve fitting unit and the original curve, and the fault rate calculation unit is used for calculating the fault rate of the power generation equipment according to the curve difference ratio analyzed by the fault;

the output end of the first coordinate analysis unit is electrically connected with the input end of the curve fitting unit, the output ends of the curve fitting unit and the original curve input unit are electrically connected with the input end of the curve comparison unit, the output end of the curve comparison unit is electrically connected with the input end of the fault proportion analysis unit, the output end of the fault proportion analysis unit is electrically connected with the input end of the fault rate calculation unit, and the output end of the fault rate calculation unit is electrically connected with the input end of the output module.

6. The big data based monitoring and management system for power generation equipment according to claim 5, wherein: the generating capacity analysis module (6) comprises a generating data calling unit, a generating capacity calculation unit, a generating capacity acquisition unit, a generating capacity comparison unit and a generating hidden danger determination unit;

the power generation data calling unit is used for calling relation data between historical rotation turns and power generation amount of power generation equipment, the power generation amount calculating unit is used for calculating predicted power generation amount of the power generation equipment according to angle data detected by an angle sensor and relation data between the rotation turns and the power generation amount called by the power generation data calling unit, the power generation amount collecting unit is used for collecting actual power generation amount data of the power generation equipment, the power generation amount comparing unit is used for comparing the actual power generation amount data with the predicted power generation amount data of the power generation equipment, and the power generation hidden danger determining unit is used for determining whether power generation hidden danger exists in the power generation equipment according to a comparison result of the power generation amount comparing unit;

the output end of the angle sensor is electrically connected with the input end of the generated energy calculating unit, the output end of the generated energy data calling unit is electrically connected with the input end of the generated energy calculating unit, the output ends of the generated energy calculating unit and the generated energy collecting unit are electrically connected with the input end of the generated energy comparing unit, and the output end of the generated energy comparing unit is electrically connected with the input end of the power generation hidden danger determining unit.

7. The big data-based power generation equipment monitoring and management method according to claim 6, wherein: the method comprises the following steps:

s1, establishing a plane rectangular coordinate system by using the position of the angle sensor as the center of a circle by using a coordinate system establishing unit;

s2, detecting the distance between a certain point on the wind power generation equipment and the ground and the rotation angle of the fan power generation equipment by using a distance sensor and an angle sensor;

s3, analyzing whether the coordinate value of a certain point of the separated power generation equipment is abnormal or not by utilizing the first coordinate analysis unit and the second coordinate analysis unit;

s4, comparing coordinate value data of a certain point of the power generation equipment by using a data comparison unit, and determining whether a fault exists and the cause of the fault;

s5, fitting the coordinate values analyzed by the first coordinate analysis unit by using a curve fitting unit to generate a coordinate value curve;

s6, comparing the curve fitted by the curve fitting unit with the original curve by using the curve comparison unit;

s7, calculating the curve fault rate after the curve fitting unit is fitted by using the fault ratio analysis unit and the fault rate calculation unit, and outputting fault reasons and the fault rate through an output module;

s8, acquiring actual generated energy data of the power generation equipment by using a generated energy acquisition unit, and calculating the predicted generated energy of the current equipment by using a generated energy calculation unit;

and S9, comparing the actual generated energy with the expected generated energy by using the generated energy comparison unit to determine whether the hidden danger of power generation exists.

8. The big data-based power generation equipment monitoring and management method according to claim 7, wherein: in steps S1-S4, the angle sensor is installed at a position of a rotation axis of the power generation equipment to detect a current state of the rotation axis, a distance between the position of the angle sensor and the ground is H, the coordinate system establishing unit establishes a rectangular plane coordinate system with the position of the angle sensor as a center of circle, and the distance sensor is installed at the position of the power generation equipment by the collecting and installing structure to rotateOn a certain point of the blade, the distance sensor detects the distance Li between a certain point of the rotating blade of the power generation equipment and the ground, and the angle sensor detects the included angle theta between the current state of the rotating shaft and the X axis_iThe linear distance between the distance sensor and the angle sensor in the plane rectangular coordinate system is R, the distance sensor transmits detection data to the first coordinate analysis unit, and the angle sensor transmits the detection data to the second coordinate analysis unit;

the first coordinate analysis unit analyzes the actual coordinate value of the position of the distance sensor according to the following formula:

the actual Y-axis coordinate value of the position of the distance sensor on the plane rectangular coordinate system is as follows:

Y′_i＝L_i-H；

wherein, Y'_iThe coordinate value of the Y axis of the position of the distance sensor on the rectangular plane coordinate system is shown;

the actual X-axis coordinate value of the position of the distance sensor in the plane rectangular coordinate system is as follows:

wherein, X'_iRepresenting the actual X-axis coordinate value of the position of the distance sensor in the plane rectangular coordinate system;

the actual coordinate value of the position of the distance sensor analyzed by the first coordinate analysis unit in the planar rectangular coordinate system is (X'_i,Y'_i)；

The second coordinate analysis unit analyzes the original coordinate value of the position of the distance sensor according to the following formula:

the original X-axis coordinate value of the position of the distance sensor in the plane rectangular coordinate system is as follows:

X_i＝R*cosθ_i；

wherein, X_iRepresenting the original X-axis coordinate value of the position of the distance sensor in a plane rectangular coordinate system;

the original Y-axis coordinate value of the position of the distance sensor in the rectangular plane coordinate system is as follows:

Y_i＝X_i*tanθ_i；

wherein, Y_iRepresenting the original Y-axis coordinate value of the position of the distance sensor in a plane rectangular coordinate system;

the original coordinate value of the position of the distance sensor in the plane rectangular coordinate system analyzed by the second coordinate analysis unit is (X)_i,Y_i)；

Actual coordinate values (X 'in a rectangular plane coordinate system of the distance sensor are compared by a data comparison unit'_i,Y'_i) And the original coordinate value (X)_i,Y_i) Comparing;

when X'_i＝X_iAnd Y'_i＝Y_iWhen the actual coordinate value of the distance sensor is not deviated from the original coordinate value, the power generation equipment is not in fault;

when X'_i≠X_iOr Y'_i≠Y_iThe actual coordinate value of the distance sensor deviates from the original coordinate value, and the power generation equipment is indicated to have a fault;

the fault analysis unit analyzes the actual coordinate value (X ') of the distance sensor'_i,Y'_i) And original coordinate value (X)_i,Y_i) Analyzing to obtain actual coordinate value (X'_i,Y'_i) And original coordinate value (X)_i,Y_i) Inputting the failure cause database for searching, and calling the actual coordinate value (X ') by the data calling unit'_i,Y'_i) And original coordinate value (X)_i,Y_i) The same fault causes are transmitted to the fault cause determination unit.

9. The big data-based power generation equipment monitoring and management method according to claim 8, wherein: in S5-S7, the n actual coordinate values P { (X {) of the distance sensor are fitted by a curve fitting unit'₁,Y'₁),(X'₂,Y'₂),…,(X'_n,Y'_n) FittingForming a curve, forming an actual motion curve, wherein P represents a set of n distance sensor actual coordinate values, (X'₁,Y'₁),(X'₂,Y'₂),…,(X'_n,Y'_n) N actual coordinate values Q of the distance sensor are { (X) by the original curve input means₁,Y₁),(X₂,Y₂),…,(X_n,Y_n) Fitting to a curve input system to form an original motion curve, wherein Q represents a set of n distance sensor original coordinate values, (X)₁,Y₁),(X₂,Y₂),…,(X_n,Y_n) Representing the original coordinate values of the n distance sensors, the curve comparison unit comparing the actual motion curve with the original motion curve, the curve comparison unit comparing the point coordinates (X) of the difference between the actual motion curve and the original motion curve_k,Y_k) Labeling to form difference point vectorAccording to the following formula, the included angle alpha between two adjacent difference point vectors_kAnd (3) calculating:

whereinRepresents a point of difference (X)_k,Y_k) A vector formed between the vector and the origin of the plane rectangular coordinate system,represents a point of difference (X)_k+1,Y_k+1) A vector formed between the vector and the origin of the plane rectangular coordinate system,representing a vectorThe die of (a) is used,representing a vectorThe mold of (4);

the included angle alpha between a plurality of difference point vectors is calculated according to the following formula_{General assembly}And (3) calculating:

wherein m represents that m difference points exist between the actual motion curve and the original motion curve;

analyzing the proportion of a difference curve between an actual motion curve and an original motion curve of the distance sensor by using a fault proportion analysis unit according to the following formula:

wherein F represents the ratio of the difference curve between the actual motion curve and the original motion curve of the distance sensor;

calculating the failure rate H by using a failure rate calculation unit according to the following formula:

H＝F*100％；

and the fault rate calculation unit outputs the fault rate through an output module.

10. The big data-based power generation equipment monitoring and management method according to claim 9, wherein: in S8-S9, the electric power generation amount acquisition unit acquires actual electric power generation amount data of the electric power generation equipment, including an electric power generation amount and the number of rotations of the rotating shaft, the ratio between the electric power generation amount and the number of rotations being 1: n;

the rotation angle of the rotation shaft is detected by an angle sensor to determine the number of rotations O of the rotation shaft, and the power generation amount calculation unit calculates a predicted power generation amount J of the rotation shaft rotating O-ring according to the following formula:

the generating capacity acquisition unit acquires the actual generating capacity J 'of the generating equipment, and the generating capacity comparison unit calculates the interpolation between the predicted generating capacity J and the actual generating capacity J' according to the following formula:

when in useThe difference between the predicted power generation amount and the actual power generation amount is larger, and the hidden danger of power generation exists;

when in useAnd if so, indicating that the difference between the predicted power generation amount and the actual power generation amount is small, and the hidden power generation danger does not exist, wherein a represents a set threshold value.

Technical Field

The invention relates to the technical field of power generation equipment management, in particular to a power generation equipment monitoring and management system and method based on big data.

Background

Power generation equipment refers to equipment that converts other forms of energy into electrical energy, such as: the power generation principle of any power generation equipment, such as wind power generation equipment, water conservancy power generation equipment, solar power generation equipment, nuclear power generation equipment and the like, is that a power generation unit is pushed by converting energy in other forms into kinetic energy, and magnetic induction lines are cut by the rotation of the power generation unit to generate electric energy;

the existing power generation equipment, particularly the wind power generation equipment, has the following problems when in use:

1. although the existing wind power generation equipment can monitor and manage the wind power generation equipment, the existing wind power generation equipment is only limited to monitoring information data such as rotating speed, torque, generating capacity and the like, but cannot monitor and manage the rotating state of the wind power generation equipment in the rotating power generation process, so that faults of the wind power generation equipment cannot be found in time easily, and potential safety hazards are caused;

2. the existing wind power generation equipment cannot detect and analyze the fault rate of the existing wind power generation equipment when in use, so that the fault of the wind power generation equipment cannot be really predicted;

therefore, there is a need for a monitoring and management system and method for power generation equipment based on big data to solve the above problems.

Disclosure of Invention

The invention aims to provide a power generation equipment monitoring and management system and method based on big data, so as to solve the problems in the prior art.

In order to achieve the purpose, the invention provides the following technical scheme: a big data-based power generation equipment monitoring and management system comprises a data acquisition module, a data analysis module, a curve analysis module, a fault determination unit, an output module and a power generation amount analysis module;

the data acquisition module is used for acquiring various information data of the power generation equipment so as to monitor and manage the power generation equipment according to the acquired various information data, the power generation equipment is wind power generation equipment, the data analysis module is used for analyzing the various information data acquired by the data acquisition module, the curve analysis module is used for fitting the various information data analyzed by the data analysis module into a curve and comparing the curve with an original curve so as to compare the various information data analyzed by the data analysis module more simply and determine the fault occurrence rate of the power generation equipment, the fault determination module is used for determining the fault reason of the power generation equipment according to the analysis result of the various data analyzed by the data analysis module, and the output module is used for outputting the fault reason and the fault rate of the power generation equipment so as to monitor and manage the power generation equipment, the generating capacity analysis module is used for analyzing generating capacity data of the generating equipment so as to determine the generating condition of the generating equipment for monitoring and managing;

the output end of the data acquisition module is electrically connected with the input ends of the data analysis module and the generating capacity analysis module, the output end of the data analysis module is electrically connected with the input end of the curve analysis module, the output ends of the data analysis module and the curve analysis module are electrically connected with the input end of the output module, and the data analysis module is electrically connected with the fault determination unit.

According to the technical scheme, the data acquisition module comprises a coordinate system establishing unit, an acquisition and installation structure, a distance sensor and an angle sensor;

the angle sensor is arranged at the position of a rotating shaft of the power generation equipment and used for detecting the rotating angle of the power generation equipment so as to determine the real-time state of the power generation equipment and realize the monitoring of the power generation equipment, meanwhile, the generated energy of the power generation equipment is predicted according to the number of rotating turns of the power generation equipment, the coordinate system establishing unit is used for establishing a planar rectangular coordinate system of the position of the power generation equipment by taking the angle sensor as a circle center so as to conveniently carry out the data management on each point of the power generation equipment, so that the monitoring of the power generation equipment is more accurate and the digital monitoring and management on the hidden power generation danger of the power generation equipment are more convenient, the distance sensor is arranged at the edge of the power generation equipment by collecting and installing structures and is used for detecting the distance between a certain position of the power generation equipment and the ground so as to determine whether the power generation equipment, because under the effect of centrifugal force, power generation equipment's rotation may break down or unusual at some point, conveniently monitors power generation equipment's rotation state, gather mounting structure and be used for adjusting distance sensor's position for distance sensor is in vertical state all the time, makes distance sensor's detection numerical value more accurate.

According to the technical scheme, the collecting and mounting structure comprises a fixed shaft, a rotary bearing, a fixed shaft, a rotary shaft, a horizontal seat and a distance sensor;

the fixed axle passes through swivel bearing fixed mounting in power generation facility's a certain position department, swivel bearing makes whole collection mounting structure can realize adjustment and rotation, fixed axle one end fixed mounting has solid fixed ring, gu fixed ring inboard rotates through the rotation axis and installs the horizontal seat, the height of horizontal seat is greater than solid fixed ring's height, the rotation axis is used for keeping the horizontal seat at the horizontality all the time, because the focus of horizontal seat is compared in solid fixed ring's focus lower, so, no matter what kind of gesture solid fixed ring is in, the horizontal seat can remain the level under the effect of rotation axis all the time, distance sensor is installed to the inside bottom of horizontal seat, distance sensor is under the effect of horizontal seat, and the distance numerical value that detects is distance sensor current position all the time between ground.

According to the technical scheme, the data analysis module comprises a first coordinate analysis unit, a second coordinate analysis unit, a data comparison unit, a fault analysis unit and a fixed determination unit;

the first coordinate analysis unit is used for analyzing the actual coordinate value of the distance sensor in the plane rectangular coordinate system according to the distance data collected by the distance sensor, the second coordinate system analysis unit is used for analyzing the original coordinate value of the distance sensor in the plane rectangular coordinate system according to the angle data collected by the angle sensor, the data comparison unit is used for comparing the actual coordinate value analyzed by the first coordinate analysis unit with the original coordinate value analyzed by the second coordinate analysis unit, determining whether a difference exists between the actual coordinate value and the original coordinate value, determining whether the actual operation state of the current power generation equipment has a fault or not, the fault analysis unit is used for analyzing the reason of the power generation equipment, and the fault determination unit is used for determining the reason of the power generation equipment according to the analysis result of the fault analysis unit;

the fault determining module comprises a fault reason database and a data calling unit;

the fault reason database is used for storing fault reasons corresponding to coordinate value faults of the power generation equipment at different coordinate positions, the fault reason database is continuously expanded, and the data calling unit is used for calling fault reason data from the fault reason database;

the output end of the distance sensor is electrically connected with the input end of a first coordinate analysis unit, the output end of the angle sensor is electrically connected with the input end of a second coordinate analysis unit, the output end of the coordinate system establishing unit is electrically connected with the input ends of the first coordinate analysis unit and the second coordinate analysis unit, the output ends of the first coordinate analysis unit and the second coordinate analysis unit are electrically connected with the input end of a data comparison unit, the output end of the book comparison unit is electrically connected with the input end of a fault analysis unit, the output end of the fault analysis unit is electrically connected with the input end of a fault reason determination unit, and the output end of the fault reason determination unit is electrically connected with the input end of an output module;

the output end of the data comparison unit is electrically connected with the input end of the fault reason database, the output end of the fault reason database is electrically connected with the input end of the data calling unit, and the output end of the data calling unit is electrically connected with the input end of the fault analysis unit.

The curve analysis module comprises a curve fitting unit, an original curve input unit, a curve comparison unit, a fault proportion analysis unit and a fault rate calculation unit;

the curve fitting unit is used for fitting the actual coordinate values of the plurality of distance sensors in the plane rectangular coordinate system into a curve to form an actual motion curve, the original curve input unit is used for inputting a curve formed by original coordinate values of a plurality of distance sensors in a plane rectangular coordinate system into the system to form an original motion curve, the curve comparison unit is used for comparing the actual motion curve with the original motion curve, by comparison, the fault area of the wind generating set in the working process can be known, the fault ratio can be analyzed and calculated at the later stage, the fault ratio analysis unit is used for analyzing the difference ratio between the curve fitted by the curve fitting unit and the original curve, the fault rate calculation unit is used for calculating the fault rate of the power generation equipment according to the curve difference proportion analyzed by the fault proportion analysis unit;

the output end of the first coordinate analysis unit is electrically connected with the input end of the curve fitting unit, the output ends of the curve fitting unit and the original curve input unit are electrically connected with the input end of the curve comparison unit, the output end of the curve comparison unit is electrically connected with the input end of the fault proportion analysis unit, the output end of the fault proportion analysis unit is electrically connected with the input end of the fault rate calculation unit, and the output end of the fault rate calculation unit is electrically connected with the input end of the output module.

According to the technical scheme, the generating capacity analysis module comprises a generating data calling unit, a generating capacity calculation unit, a generating capacity acquisition unit, a generating capacity comparison unit and a generating hidden danger determination unit;

the power generation data retrieving unit is used for retrieving relation data between historical rotation turns and power generation amount of the power generation equipment, through the analysis of the historical big data, the relationship between the number of turns of the power generation equipment and the power generation amount is determined, the power generation amount calculation unit calculates the predicted power generation amount of the power generation device based on the angle data detected by the angle sensor and the relation data between the number of turns of rotation and the power generation amount retrieved by the power generation data retrieval unit, the generating capacity acquisition unit is used for acquiring actual generating capacity data of the generating equipment, the generating capacity comparison unit is used for comparing the actual generating capacity data of the generating equipment with predicted generating capacity data, the power generation hidden danger determining unit is used for determining whether the power generation hidden danger exists in the power generation equipment according to the comparison result of the power generation amount comparison unit;

the output end of the angle sensor is electrically connected with the input end of the generated energy calculating unit, the output end of the generated energy data calling unit is electrically connected with the input end of the generated energy calculating unit, the output ends of the generated energy calculating unit and the generated energy collecting unit are electrically connected with the input end of the generated energy comparing unit, and the output end of the generated energy comparing unit is electrically connected with the input end of the power generation hidden danger determining unit.

A big data-based power generation equipment monitoring and management method comprises the following steps:

s1, establishing a plane rectangular coordinate system by using the position of the angle sensor as the center of a circle by using a coordinate system establishing unit;

s2, detecting the distance between a certain point on the wind power generation equipment and the ground and the rotation angle of the fan power generation equipment by using a distance sensor and an angle sensor;

s3, analyzing whether the coordinate value of a certain point of the separated power generation equipment is abnormal or not by utilizing the first coordinate analysis unit and the second coordinate analysis unit;

s4, comparing coordinate value data of a certain point of the power generation equipment by using a data comparison unit, and determining whether a fault exists and the cause of the fault;

s5, fitting the coordinate values analyzed by the first coordinate analysis unit by using a curve fitting unit to generate a coordinate value curve;

s6, comparing the curve fitted by the curve fitting unit with the original curve by using the curve comparison unit;

s7, calculating the curve fault rate after the curve fitting unit is fitted by using the fault ratio analysis unit and the fault rate calculation unit, and outputting fault reasons and the fault rate through an output module;

s8, acquiring actual generated energy data of the power generation equipment by using a generated energy acquisition unit, and calculating the predicted generated energy of the current equipment by using a generated energy calculation unit;

and S9, comparing the actual generated energy with the expected generated energy by using the generated energy comparison unit to determine whether the hidden danger of power generation exists.

According to the above technical solution, in steps S1-S4, the angle sensor is installed at a position of a rotating shaft of the power generation equipment, a current state of the rotating shaft is detected, a distance between the position of the angle sensor and the ground is H, the coordinate system establishing unit establishes a rectangular plane coordinate system with the position of the angle sensor as a center of circle,the distance sensor is installed on a certain point of the rotating blade of the power generation equipment through the collecting and installing structure, the distance sensor detects the distance Li between the certain point of the rotating blade of the power generation equipment and the ground, and the angle sensor detects the included angle theta between the current state of the rotating shaft and the X axis_iThe linear distance between the distance sensor and the angle sensor in the plane rectangular coordinate system is R, the distance sensor transmits detection data to the first coordinate analysis unit, and the angle sensor transmits the detection data to the second coordinate analysis unit;

the first coordinate analysis unit analyzes the actual coordinate value of the position of the distance sensor according to the following formula:

the actual Y-axis coordinate value of the position of the distance sensor on the plane rectangular coordinate system is as follows:

Y′_i＝L_i-H；

wherein, Y'_iThe coordinate value of the Y axis of the position of the distance sensor on the rectangular plane coordinate system is shown;

because the position of the angle sensor is taken as the center of a circle, the height between the center of a circle and the ground subtracted from the installation position of the distance sensor is the longitudinal coordinate of the distance sensor in the plane rectangular coordinate system;

the actual X-axis coordinate value of the position of the distance sensor in the plane rectangular coordinate system is as follows:

wherein, X'_iRepresenting the actual X-axis coordinate value of the position of the distance sensor in the plane rectangular coordinate system;

because the rotation angle of the rotating shaft is detected by the angle sensor, the current angle relation can be known, so that the included angle between the connecting line between the distance sensor and the circle center and the X axis can be known, and the abscissa of the distance sensor on the plane rectangular coordinate system can be determined according to the angle and the coordinate value of the Y axis;

the first coordinate systemThe actual coordinate value of the position of the distance sensor analyzed by the analysis unit in the planar rectangular coordinate system is (X'_i,Y'_i)；

The second coordinate analysis unit analyzes the original coordinate value of the position of the distance sensor according to the following formula:

the original X-axis coordinate value of the position of the distance sensor in the plane rectangular coordinate system is as follows:

X_i＝R*cosθ_i；

wherein, X_iRepresenting the original X-axis coordinate value of the position of the distance sensor in a plane rectangular coordinate system;

because the radius R of the original motion curve and the rotation angle of the rotating shaft detected by the angle sensor are known, the original abscissa of the distance sensor can be obtained according to the relation between the angle and the oblique side;

the original Y-axis coordinate value of the position of the distance sensor in the rectangular plane coordinate system is as follows:

Y_i＝X_i*tanθ_i；

wherein, Y_iRepresenting the original Y-axis coordinate value of the position of the distance sensor in a plane rectangular coordinate system;

the original ordinate of the distance sensor on the plane rectangular coordinate system can be calculated through the original abscissa and the angle relation detected by the angle sensor;

the original coordinate value of the position of the distance sensor in the plane rectangular coordinate system analyzed by the second coordinate analysis unit is (X)_i,Y_i)；

Actual coordinate values (X 'in a rectangular plane coordinate system of the distance sensor are compared by a data comparison unit'_i,Y'_i) And the original coordinate value (X)_i,Y_i) Comparing;

the actual coordinate value and the original coordinate value of the distance sensor on the plane rectangular coordinate system are calculated, so that the comparison of the two coordinate values can be realized, and whether the power generation state of the wind power generation equipment is abnormal or not can be judged in a digital form;

when X'_i＝X_iAnd Y'_i＝Y_iWhen the actual coordinate value of the distance sensor is not deviated from the original coordinate value, the power generation equipment is not in fault;

when X'_i≠X_iOr Y'_i≠Y_iThe actual coordinate value of the distance sensor deviates from the original coordinate value, and the power generation equipment is indicated to have a fault;

the fault analysis unit analyzes the actual coordinate value (X ') of the distance sensor'_i,Y'_i) And original coordinate value (X)_i,Y_i) Analyzing to obtain actual coordinate value (X'_i,Y'_i) And original coordinate value (X)_i,Y_i) Inputting the failure cause database for searching, and calling the actual coordinate value (X ') by the data calling unit'_i,Y'_i) And original coordinate value (X)_i,Y_i) The same fault causes are transmitted to the fault cause determination unit.

According to the above technical solution, in S5-S7, n actual coordinate values P { (X {) of the distance sensor are fitted by the curve fitting means'₁,Y'₁),(X'₂,Y'₂),…,(X'_n,Y'_n) Fitting into a curve to form an actual motion curve, wherein P represents a set of n distance sensor actual coordinate values, (X'₁,Y'₁),(X'₂,Y'₂),…,(X'_n,Y'_n) N actual coordinate values Q of the distance sensor are { (X) by the original curve input means₁,Y₁),(X₂,Y₂),…,(X_n,Y_n) Fitting to a curve input system to form an original motion curve, wherein Q represents a set of n distance sensor original coordinate values, (X)₁,Y₁),(X₂,Y₂),…,(X_n,Y_n) Representing the original coordinate values of the n distance sensors, the curve comparison unit comparing the actual motion curve with the original motion curve, the curve comparison unit comparing the point coordinates (X) of the difference between the actual motion curve and the original motion curve_k,Y_k) Labeling to form difference point vectorAccording to the following formula, the included angle alpha between two adjacent difference point vectors_kAnd (3) calculating:

whereinRepresents a point of difference (X)_k,Y_k) A vector formed between the vector and the origin of the plane rectangular coordinate system,represents a point of difference (X)_k+1,Y_k+1) A vector formed between the vector and the origin of the plane rectangular coordinate system,representing a vectorThe die of (a) is used,representing a vectorThe mold of (4);

by means of solving the included angle between two adjacent vectors and then solving the inverse function of the included angle, the included angle between the two adjacent vectors can be obtained, the difference rate between the actual motion curve and the original motion curve can be obtained, and the fault rate between the actual motion curve and the original motion curve can be calculated more accurately;

the included angle alpha between a plurality of difference point vectors is calculated according to the following formula_{General assembly}And (3) calculating:

wherein m represents that m difference points exist between the actual motion curve and the original motion curve;

the included angles formed by connecting lines between two end points of all the difference curves and the circle center are added, so that the difference ratio between the whole actual motion curve and the original motion curve can be obtained;

analyzing the proportion of a difference curve between an actual motion curve and an original motion curve of the distance sensor by using a fault proportion analysis unit according to the following formula:

wherein F represents the ratio of the difference curve between the actual motion curve and the original motion curve of the distance sensor;

calculating the failure rate H by using a failure rate calculation unit according to the following formula:

H＝F*100％；

and the fault rate calculation unit outputs the fault rate through an output module.

According to the technical scheme, in S8-S9, the power generation amount acquisition unit acquires actual power generation amount data of the power generation equipment, wherein the actual power generation amount data comprises power generation amount and the rotation number of the rotating shaft, and the ratio of the power generation amount to the rotation number of the rotating shaft is 1: n;

the rotation angle of the rotation shaft is detected by an angle sensor to determine the number of rotations O of the rotation shaft, and the power generation amount calculation unit calculates a predicted power generation amount J of the rotation shaft rotating O-ring according to the following formula:

the generating capacity acquisition unit acquires the actual generating capacity J 'of the generating equipment, and the generating capacity comparison unit calculates the interpolation between the predicted generating capacity J and the actual generating capacity J' according to the following formula:

when in useThe difference between the predicted power generation amount and the actual power generation amount is larger, and the hidden danger of power generation exists;

when in useAnd if so, indicating that the difference between the predicted power generation amount and the actual power generation amount is small, and the hidden power generation danger does not exist, wherein a represents a set threshold value.

Compared with the prior art, the invention has the beneficial effects that:

1. the invention is provided with the distance sensor, the angle sensor, the first coordinate analysis unit and the second coordinate analysis unit, so that the actual coordinate value and the original coordinate value in the rotation process of the wind power generation equipment can be compared, the fault occurrence point of the wind power generation equipment can be accurately displayed in a data form, the fault reason can be analyzed, the fault reason can be determined in time, targeted maintenance can be carried out, and the power generation hidden danger of the wind power generation equipment can be reduced.

2. The wind power generation device is provided with the curve fitting unit, the original curve input unit and the curve comparison unit, so that the fault rate of the wind power generation device can be analyzed and compared in time according to the detection result of the distance sensor, the current state and condition of the wind power generation device can be accurately known, a correct decision can be made, whether the wind power generation device is maintained or not or the wind power generation device is stopped to continue generating electricity is determined, and the loss which cannot be caused at a night is avoided.

3. The wind power generation device is provided with the generating capacity calculating unit and the generating capacity collecting unit, so that the generating capacity of the wind power generation device can be predicted according to the generating capacity calculating unit, and whether the wind power generation device has a fault on the generating capacity is determined by comparing the actual generating capacity collected by the generating capacity collecting unit, thereby realizing the monitoring and management of the hidden power generation danger of the wind power generation device and ensuring the use of the wind power generation device to be safer and more reliable.

Drawings

FIG. 1 is a schematic diagram of a module structure of a big data-based monitoring and management system for power generation equipment according to the present invention;

FIG. 2 is a schematic diagram of a big data based power plant monitoring and management system acquisition and installation structure according to the present invention;

FIG. 3 is a schematic diagram of a module connection relationship of a big data-based power plant monitoring and management system according to the present invention;

FIG. 4 is a schematic flow chart illustrating steps of a big data-based monitoring and management method for a power generation facility according to the present invention;

fig. 5 is a schematic diagram of coordinate display of a power generation equipment monitoring and management method based on big data according to the present invention.

1. A data acquisition module; 101. a fixed shaft; 102. a rotating bearing; 103. a fixing ring; 104. a rotating shaft; 105. a horizontal base; 106. a distance sensor;

2. a data analysis module; 3. a curve analysis module; 4. a fault determination module; 5. an output module; 6. and the power generation amount analysis module.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

As shown in fig. 1 to 5, a big data-based power generation equipment monitoring and management system includes a data acquisition module 1, a data analysis module 2, a curve analysis module 3, a fault determination unit 4, an output module 5 and a power generation amount analysis module 6;

the data acquisition module 1 is used for acquiring various information data of the power generation equipment so as to monitor and manage the power generation equipment according to the acquired various information data, the data analysis module 2 is used for analyzing the various information data acquired by the data acquisition module 1, the curve analysis module 3 is used for fitting the various information data analyzed by the data analysis module 2 into a curve and comparing the curve with an original curve so as to compare the various information data analyzed by the data analysis module 2 and determine the fault occurrence rate of the power generation equipment, the fault determination module 4 is used for determining the fault cause of the power generation equipment according to the analysis result of the various data analyzed by the data analysis module 2, the output module 5 is used for outputting the fault cause and the fault rate of the power generation equipment so as to monitor and manage the power generation equipment, the generating capacity analysis module 6 is used for analyzing generating capacity data of the generating equipment so as to determine the generating condition of the generating equipment for monitoring and managing;

the output end of the data acquisition module 1 is electrically connected with the input ends of the data analysis module 2 and the generated energy analysis module 6, the output end of the data analysis module 2 is electrically connected with the input end of the curve analysis module 3, the output ends of the data analysis module 2 and the curve analysis module 3 are electrically connected with the input end of the output module, and the data analysis module 2 is electrically connected with the fault determination unit 4.

According to the technical scheme, the data acquisition module 1 comprises a coordinate system establishing unit, an acquisition and installation structure, a distance sensor and an angle sensor;

the angle sensor is installed in power generation equipment rotation axis position department for detect power generation equipment's rotation angle, so that confirm power generation equipment's real-time status, realize the control to power generation equipment, the coordinate system establishes the unit and is used for using angle sensor to establish the plane rectangular coordinate system of power generation equipment position as the centre of a circle, so that carry out the management of datumization to each point of power generation equipment, distance sensor installs in power generation equipment's edge through gathering mounting structure for detect the distance between certain position of power generation equipment and the ground, it is used for adjusting distance sensor's position to gather mounting structure, makes distance sensor be in vertical state all the time, makes distance sensor's detection numerical value more accurate.

According to the technical scheme, the collecting and mounting structure comprises a fixed shaft 101, a rotary bearing 102, a fixed shaft 103, a rotary shaft 104, a horizontal seat 105 and a distance sensor 106;

the fixed shaft 101 is fixedly installed at a certain position of the power generating equipment through a rotary bearing 102, the rotating bearing 102 enables the whole collecting and mounting structure to be adjusted and rotated, one end of the fixed shaft 101 is fixedly provided with a fixed ring 103, a horizontal seat 105 is rotatably installed inside the fixing ring 103 through a rotating shaft 104, the height of the horizontal seat 105 is greater than that of the fixing ring 103, the rotation axis 104 serves to always keep the horizontal seat 105 in a horizontal state, because the center of gravity of the horizontal seat 105 is lower than that of the fixed ring 103, therefore, no matter what the fixed ring 103 is in, the horizontal seat 105 can be kept horizontal all the time by the rotating shaft 104, the bottom end of the interior of the horizontal seat 105 is provided with a distance sensor 106, and the distance value detected by the distance sensor 106 is always the distance between the current position of the distance sensor 106 and the ground under the action of the horizontal seat 105.

According to the technical scheme, the data analysis module 2 comprises a first coordinate analysis unit, a second coordinate analysis unit, a data comparison unit, a fault analysis unit and a fixed determination unit;

the first coordinate analysis unit is used for analyzing the actual coordinate value of the distance sensor in the planar rectangular coordinate system according to the distance data collected by the distance sensor, the second coordinate analysis unit is used for analyzing the original coordinate value of the distance sensor in the planar rectangular coordinate system according to the angle data collected by the angle sensor, the data comparison unit is used for comparing the actual coordinate value analyzed by the first coordinate analysis unit with the original coordinate value analyzed by the second coordinate analysis unit to determine whether the actual operation state of the current power generation equipment has a fault or not, the fault analysis unit is used for analyzing the reason of the fault of the power generation equipment, and the fault determination unit is used for determining the reason of the fault of the power generation equipment according to the analysis result of the fault analysis unit;

the fault determination module 4 comprises a fault reason database and a data retrieval unit;

the fault reason database is used for storing corresponding fault reasons when the power generation equipment has faults at different coordinate positions, the fault reason database is continuously expanded, and the data retrieval unit is used for retrieving fault reason data from the fault reason database;

the output end of the distance sensor is electrically connected with the input end of a first coordinate analysis unit, the output end of the angle sensor is electrically connected with the input end of a second coordinate analysis unit, the output end of the coordinate system establishing unit is electrically connected with the input ends of the first coordinate analysis unit and the second coordinate analysis unit, the output ends of the first coordinate analysis unit and the second coordinate analysis unit are electrically connected with the input end of a data comparison unit, the output end of the book comparison unit is electrically connected with the input end of a fault analysis unit, the output end of the fault analysis unit is electrically connected with the input end of a fault reason determination unit, and the output end of the fault reason determination unit is electrically connected with the input end of an output module;

the output end of the data comparison unit is electrically connected with the input end of the fault reason database, the output end of the fault reason database is electrically connected with the input end of the data calling unit, and the output end of the data calling unit is electrically connected with the input end of the fault analysis unit.

The curve analysis module 3 comprises a curve fitting unit, an original curve input unit, a curve comparison unit, a fault proportion analysis unit and a fault rate calculation unit;

the system comprises a curve fitting unit, an original curve input unit, a curve comparison unit, a fault ratio analysis unit and a fault rate calculation unit, wherein the curve fitting unit is used for fitting actual coordinate values of a plurality of distance sensors in a plane rectangular coordinate system into a curve to form an actual motion curve, the original curve input unit is used for inputting a curve formed by original coordinate values of the plurality of distance sensors in the plane rectangular coordinate system into a system to form an original motion curve, the curve comparison unit is used for comparing the actual motion curve with the original motion curve, the fault ratio analysis unit is used for analyzing the difference ratio between the curve fitted by the curve fitting unit and the original curve, and the fault rate calculation unit is used for calculating the fault rate of the power generation equipment according to the curve difference ratio analyzed by the fault;

the output end of the first coordinate analysis unit is electrically connected with the input end of the curve fitting unit, the output ends of the curve fitting unit and the original curve input unit are electrically connected with the input end of the curve comparison unit, the output end of the curve comparison unit is electrically connected with the input end of the fault proportion analysis unit, the output end of the fault proportion analysis unit is electrically connected with the input end of the fault rate calculation unit, and the output end of the fault rate calculation unit is electrically connected with the input end of the output module.

According to the technical scheme, the generated energy analysis module 6 comprises a generated energy data calling unit, a generated energy calculation unit, a generated energy acquisition unit, a generated energy comparison unit and a power generation hidden danger determination unit;

the power generation data retrieving unit is used for retrieving relation data between historical rotation turns and power generation amount of the power generation equipment, through the analysis of the historical big data, the relationship between the number of turns of the power generation equipment and the power generation amount is determined, the power generation amount calculation unit calculates the predicted power generation amount of the power generation device based on the angle data detected by the angle sensor and the relation data between the number of turns of rotation and the power generation amount retrieved by the power generation data retrieval unit, the generating capacity acquisition unit is used for acquiring actual generating capacity data of the generating equipment, the generating capacity comparison unit is used for comparing the actual generating capacity data of the generating equipment with predicted generating capacity data, the power generation hidden danger determining unit is used for determining whether the power generation hidden danger exists in the power generation equipment according to the comparison result of the power generation amount comparison unit;

the output end of the angle sensor is electrically connected with the input end of the generated energy calculating unit, the output end of the generated energy data calling unit is electrically connected with the input end of the generated energy calculating unit, the output ends of the generated energy calculating unit and the generated energy collecting unit are electrically connected with the input end of the generated energy comparing unit, and the output end of the generated energy comparing unit is electrically connected with the input end of the power generation hidden danger determining unit.

In this embodiment, a method for monitoring and managing power generation equipment based on big data includes the following steps:

s1, establishing a plane rectangular coordinate system by using the position of the angle sensor as the center of a circle by using a coordinate system establishing unit;

s2, detecting the distance between a certain point on the wind power generation equipment and the ground and the rotation angle of the fan power generation equipment by using a distance sensor and an angle sensor;

s3, analyzing whether the coordinate value of a certain point of the separated power generation equipment is abnormal or not by utilizing the first coordinate analysis unit and the second coordinate analysis unit;

s4, comparing coordinate value data of a certain point of the power generation equipment by using a data comparison unit, and determining whether a fault exists and the cause of the fault;

s5, fitting the coordinate values analyzed by the first coordinate analysis unit by using a curve fitting unit to generate a coordinate value curve;

s6, comparing the curve fitted by the curve fitting unit with the original curve by using the curve comparison unit;

s7, calculating the curve fault rate after the curve fitting unit is fitted by using the fault ratio analysis unit and the fault rate calculation unit, and outputting fault reasons and the fault rate through an output module;

s8, acquiring actual generated energy data of the power generation equipment by using a generated energy acquisition unit, and calculating the predicted generated energy of the current equipment by using a generated energy calculation unit;

and S9, comparing the actual generated energy with the expected generated energy by using the generated energy comparison unit to determine whether the hidden danger of power generation exists.

According to the above technical solution, in the steps S1-S4, the angle sensor is installed at the position of the rotation axis of the power generating equipment,the current state of the rotating shaft is detected, the distance between the position of the angle sensor and the ground is H-40 m, the coordinate system establishing unit establishes a plane rectangular coordinate system by taking the position of the angle sensor as the circle center, the distance sensor is installed on a certain point of a rotating blade of the power generation equipment through the collecting and installing structure, and the distance sensor detects the distance L between the certain point of the rotating blade of the power generation equipment and the ground_i62m, the angle sensor detects the included angle theta between the current state of the rotating shaft and the X axis_iThe linear distance between the distance sensor and the angle sensor in the plane rectangular coordinate system is R & lt 31m & gt, the distance sensor transmits the detection data to the first coordinate analysis unit, and the angle sensor transmits the detection data to the second coordinate analysis unit;

the first coordinate analysis unit analyzes the actual coordinate value of the position of the distance sensor according to the following formula:

the actual Y-axis coordinate value of the position of the distance sensor on the plane rectangular coordinate system is as follows:

Y′_i＝L_i-H＝62-40＝22；

wherein, Y'_i22 represents the actual coordinate value on the Y axis of the position of the distance sensor on the plane rectangular coordinate system;

the actual X-axis coordinate value of the position of the distance sensor in the plane rectangular coordinate system is as follows:

wherein, X'_i22 represents the actual X-axis coordinate value of the position of the distance sensor in the plane rectangular coordinate system;

the actual coordinate value of the position of the distance sensor analyzed by the first coordinate analysis unit in the planar rectangular coordinate system is (X'_i,Y'_i)＝(22,22)；

The second coordinate analysis unit analyzes the original coordinate value of the position of the distance sensor according to the following formula:

the original X-axis coordinate value of the position of the distance sensor in the plane rectangular coordinate system is as follows:

X_i＝R*cosθ_i＝31*0.707＝21.927；

wherein, X_i21.927 represents the original X-axis coordinate value of the position of the distance sensor in the plane rectangular coordinate system;

the original Y-axis coordinate value of the position of the distance sensor in the rectangular plane coordinate system is as follows:

Y_i＝X_i*tanθ_i＝21.927；

wherein, Y_i21.927 represents the original Y-axis coordinate value of the position of the distance sensor in the plane rectangular coordinate system;

the original coordinate value of the position of the distance sensor in the plane rectangular coordinate system analyzed by the second coordinate analysis unit is (X)_i,Y_i)＝(21.927,21.927)；

Actual coordinate values (X 'in a rectangular plane coordinate system of the distance sensor are compared by a data comparison unit'_i,Y'_i) (22,22) and the original coordinate value (X)_i,Y_i) Comparison was made as (21.927 );

X'_i≠X_iand Y'_i≠Y_iThe actual coordinate value of the distance sensor deviates from the original coordinate value, indicating that the power generation equipment has a fault.

The fault analysis unit analyzes the actual coordinate value (X ') of the distance sensor'_i,Y'_i) (22,22) and original coordinate value (X)_i,Y_i) Analysis was performed on the obtained coordinate values (21.927 ) and the actual coordinate values (X'_i,Y'_i) (22,22) and original coordinate value (X)_i,Y_i) The fault reason database is input for searching, (21.927 ), and the actual coordinate value (X ') is called by the data calling unit'_i,Y'_i) (22,22) and original coordinate value (X)_i,Y_i) The same failure cause (21.927 ) is transmitted to the failure cause determination unit.

According to the aboveIn S5-S7, the n actual coordinate values P { (X {) of the distance sensor are determined by a curve fitting means'₁,Y'₁),(X'₂,Y'₂0,…,(X'_n,Y'_n) Fitting into a curve to form an actual motion curve, wherein P represents a set of n distance sensor actual coordinate values, (X'₁,Y'₁),(X'₂,Y'₂),…,(X'_n,Y'_n) N actual coordinate values Q of the distance sensor are { (X) by the original curve input means₁,Y₁),(X₂,Y₂),…,(X_n,Y_n) Fitting to a curve input system to form an original motion curve, wherein Q represents a set of n distance sensor original coordinate values, (X)₁,Y₁),(X₂,Y₂),…,(X_n,Y_n) Representing the original coordinate values of the n distance sensors, the curve comparison unit comparing the actual motion curve with the original motion curve, the curve comparison unit comparing the point coordinates (X) of the difference between the actual motion curve and the original motion curve_k,Y_k) Labeling to form difference point vectorAccording to the following formula, the included angle alpha between two adjacent difference point vectors_kAnd (3) calculating:

whereinRepresents a point of difference (X)_k,Y_k) A vector formed between the vector and the origin of the plane rectangular coordinate system,represents a point of difference (X)_k+1,Y_k+1) A vector formed between the vector and the origin of the plane rectangular coordinate system,representing a vectorThe die of (a) is used,representing a vectorThe mold of (4);

the included angle alpha between a plurality of difference point vectors is calculated according to the following formula_{General assembly}And (3) calculating:

wherein m represents that m difference points exist between the actual motion curve and the original motion curve;

analyzing the proportion of a difference curve between an actual motion curve and an original motion curve of the distance sensor by using a fault proportion analysis unit according to the following formula:

wherein F-0.0333333333 represents the ratio of the difference curve between the actual motion curve and the original motion curve of the distance sensor;

calculating the failure rate H by using a failure rate calculation unit according to the following formula:

H＝F*100％＝3.33333333％；

and the fault rate calculation unit outputs the fault rate through an output module.

According to the technical scheme, in S8-S9, the power generation amount acquisition unit acquires actual power generation amount data of the power generation equipment, wherein the actual power generation amount data comprises power generation amount and the rotation number of the rotating shaft, and the ratio of the power generation amount to the rotation number of the rotating shaft is 1: n is 1: 2;

the rotation angle of the rotation shaft is detected by an angle sensor to determine 62 as the number of rotations O of the rotation shaft, and the power generation amount calculation unit calculates a predicted power generation amount J of the rotation shaft by O-turns according to the following formula:

the generating capacity acquisition unit acquires the actual generating capacity J 'of the generating equipment as 25, and the generating capacity comparison unit calculates the interpolation between the predicted generating capacity J and the actual generating capacity J' according to the following formula:

when in useWhen the predicted power generation amount is larger than the actual power generation amount, the power generation is hidden, and a is 5, which represents the set threshold.

It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.