阅读说明：本技术 一种空压站能效在线监测系统 (Energy efficiency online monitoring system for air compression station ) 是由 胡培生 孙小琴 李志远 杨瑞清 于 2021-09-03 设计创作，主要内容包括：本发明公开了一种空压站能效在线监测系统,属于空压气站技术领域,包括信息采集模块、传输模块、处理模块、分析匹配模块和预警提示模块；信息采集模块用于采集空压站的原始信息,通过传输模块将原始信息发送至处理模块,处理模块将接收的原始信息发送至数据库中进行存储；分析匹配模块用于对空压站的运行信息进行分析匹配得到运迁值,根据运迁值获取各个设备的监测系数,通过监测系数对空压站中运行的设备进行分析得到监测分析集；预警提示模块对监测分析集中各个设备的运行进行预警和提示；本发明用于解决现有方案中空压站运行时能效的监测效果不佳的技术问题。(The invention discloses an online energy efficiency monitoring system for an air compression station, which belongs to the technical field of air compression stations and comprises an information acquisition module, a transmission module, a processing module, an analysis matching module and an early warning prompt module; the information acquisition module is used for acquiring original information of the air compression station, transmitting the original information to the processing module through the transmission module, and transmitting the received original information to the database for storage by the processing module; the analysis matching module is used for analyzing and matching the operation information of the air compression station to obtain a migration value, acquiring a monitoring coefficient of each device according to the migration value, and analyzing the devices operated in the air compression station through the monitoring coefficient to obtain a monitoring analysis set; the early warning prompting module carries out early warning and prompting on the operation of each device in the monitoring analysis set; the invention is used for solving the technical problem of poor monitoring effect of the energy efficiency when the air compression station operates in the existing scheme.)

1. An air compression station energy efficiency on-line monitoring system is characterized by comprising: the information acquisition module is used for acquiring original information of the air compression station, transmitting the original information to the processing module through the transmission module, and transmitting the received original information to the database for storage by the processing module; the analysis matching module is used for analyzing and matching the operation information of the air compression station to obtain a migration value, acquiring a monitoring coefficient of each device according to the migration value, and analyzing the devices operated in the air compression station through the monitoring coefficient to obtain a monitoring analysis set; and the early warning prompting module carries out early warning and prompting on the operation of each device in the monitoring and analyzing set.

2. The on-line energy efficiency monitoring system for the air compression station as claimed in claim 1, wherein the raw information comprises names, types, powers, operation states, operation temperatures, operation durations and operation coordinates of each device in the air compression station.

3. The energy efficiency online monitoring system for the air compression station as claimed in claim 2, wherein the specific step of sending the received original information to the database for storage comprises: acquiring the name and the type of each device in the original information and marking the name and the type respectively; obtaining type correlation values corresponding to the equipment types; respectively marking the standard power and the total running time of each device; carrying out normalization processing on each item of marked data, and calculating and acquiring a running standard value of each device by using a formula YB (mu) multiplied by SLGi (a1 multiplied by SBGi + a2 multiplied by SYi); wherein mu is expressed as an equipment correction factor, a1 and a2 are expressed as different proportionality coefficients, SLGi is expressed as a type correlation value corresponding to the equipment type, SBGi is expressed as standard power of the equipment, and SYi is expressed as total running time of the equipment; and storing each device and the corresponding coordinate value thereof.

4. The energy efficiency online monitoring system for the air compressor station according to claim 3, wherein the specific step of analyzing and matching the operation information of the air compressor station to obtain the operation value comprises: acquiring and marking the operation accumulated time length of each device in the air compression station on the same day; marking the state of the equipment and acquiring a corresponding state correlation value; acquiring real-time power and real-time temperature of each device during operation and marking the real-time power and the real-time temperature; and carrying out normalization processing and value taking on the marked various data, and obtaining the migration value of the equipment through calculation.

5. The on-line energy efficiency monitoring system for air compression station as claimed in claim 4, characterized in that a formula is usedCalculating to obtain a migration value of the equipment; the SLGi is represented as a type correlation value corresponding to the type of the equipment, the ZTGi is represented as a state correlation value corresponding to the state of the equipment, the YSLi is represented as the running accumulated time length of the equipment, the SSGi is represented as the real-time power of the equipment in running, and the SBGi is represented as the standard power of the equipment.

6. The energy efficiency online monitoring system of the air compression station according to claim 5, wherein the specific step of obtaining the monitoring coefficient of each device according to the migration value comprises: the method comprises the steps of obtaining the environment temperature of the air compression station during operation, marking the environment temperature as HWi, obtaining the corresponding operation mark value and operation value of each device, and utilizing a formulaAnd calculating a monitoring coefficient, wherein eta is expressed as an operation correction factor, and SSwi is expressed as the real-time temperature of the equipment during operation.

7. The energy efficiency online monitoring system of the air compression station as claimed in claim 6, wherein the specific step of analyzing the equipment operated in the air compression station by the monitoring coefficient comprises: the method comprises the steps of obtaining a monitoring coefficient and a preset monitoring threshold value corresponding to each device, obtaining a ratio of the monitoring coefficient to the monitoring threshold value, analyzing a comparison value, generating a first analysis signal if an integer part of the ratio is not larger than zero, generating a second analysis signal if the integer part of the ratio is larger than zero, marking the corresponding device as a selected device according to the second analysis signal, generating a prompt instruction, and classifying and combining the first analysis signal, the second analysis signal, the selected device and the prompt instruction to obtain a monitoring analysis set.

8. The energy efficiency online monitoring system for the air compression station as claimed in claim 7, wherein the specific steps of early warning and prompting the operation of each device in the monitoring and analysis set comprise: acquiring analysis signals corresponding to the monitoring analysis set when each device operates, acquiring an integer part of a ratio corresponding to a first analysis signal if the device corresponds to the first analysis signal, matching the integer part with a preset energy efficiency table, acquiring a corresponding energy efficiency grade and prompting; and if the equipment corresponds to the second analysis signal, early warning and prompting that the equipment energy efficiency grade corresponding to the second analysis signal is low.

Technical Field

The invention relates to the technical field of air compression stations, in particular to an air compression station energy efficiency online monitoring system.

Background

The air compression station is a device for filtering dust and oil stains in compressed air, compressed air generated by an air compressor is stored in an air storage tank and can be supplied to a control element and an execution element for use only after a series of treatments such as temperature reduction, purification, pressure reduction, pressure stabilization and the like.

Existing systems for monitoring energy efficiency of air compression stations are in use: generally, real-time operation power consumed by the air compression station is monitored and analyzed, and monitoring and analysis are not performed on the basis of different conditions of different types of equipment in the air compression station during operation, so that the result of energy efficiency analysis is inaccurate, and the monitoring effect of the energy efficiency of the air compression station is poor.

Disclosure of Invention

The invention aims to provide an on-line energy efficiency monitoring system for an air compression station, which solves the following technical problems: how to solve the technical problem of poor monitoring effect of energy efficiency when the air compression station operates in the existing scheme; the information acquisition module is used for acquiring the original information of the air compression station, the accuracy of data analysis can be improved through the acquired data, and the processing module is used for sending the received original information to the database for storage; analyzing and matching the operation information of the air compression station through an analysis matching module to obtain a migration value, acquiring a monitoring coefficient of each device according to the migration value, performing simultaneous analysis on each data through calculation to facilitate overall analysis, and analyzing the devices operated in the air compression station through the monitoring coefficient to obtain a monitoring analysis set; the operation of each device in the monitoring and analyzing set is early-warned and prompted through the early-warning prompting module, and the purpose of improving the monitoring effect of the energy efficiency of the air compression station can be achieved.

The purpose of the invention can be realized by the following technical scheme:

an online energy efficiency monitoring system for an air compression station comprises an information acquisition module, a transmission module, a processing module, an analysis matching module, an early warning prompt module and a database;

the information acquisition module is used for acquiring original information of the air compression station, transmitting the original information to the processing module through the transmission module, and transmitting the received original information to the database for storage by the processing module; the analysis matching module is used for analyzing and matching the operation information of the air compression station to obtain a migration value, acquiring a monitoring coefficient of each device according to the migration value, and analyzing the devices operated in the air compression station through the monitoring coefficient to obtain a monitoring analysis set; and the early warning prompting module carries out early warning and prompting on the operation of each device in the monitoring and analyzing set.

Further, the raw information contains the name, type, power, operating state, operating temperature, and operating duration and operating coordinates of each device in the air compression station.

Further, the specific step of sending the received original information to a database for storage includes: acquiring names and types of all devices in original information, respectively marking the names of all the devices as SMi, wherein i is 1, 2 and 3 … n; acquiring a corresponding device type according to the name of the device and marking the device type as SLi; acquiring type correlation values corresponding to the equipment types, and marking the type correlation values as SLGi; marking the standard power of each device as SBGi; marking the total operation time preset by each device as SYi; normalizing the marked data items by using a formulaCalculating and acquiring a running standard value of each device; wherein mu is expressed as an equipment correction factor, the value range is (0,1), and a1 and a2 are expressed as different proportionality coefficients; storing each device and the corresponding operation scale value; by marking and processing the collected data, the data can be standardized and can be calculated conveniently.

Further, the specific steps of analyzing and matching the operation information of the air compressor station to obtain the operation value include: after the air compression station operates, acquiring the operation accumulated time of each device in the air compression station on the day and marking the operation accumulated time as YSLi; marking the state of the equipment as SZi; acquiring a state correlation value corresponding to the equipment state and marking the state correlation value as ZTGi; respectively marking the real-time power and the real-time temperature of each device in operation as SSGi and SSwi; and carrying out normalization processing and value taking on the marked various data, and obtaining the migration value of the equipment through calculation.

Further, using a formulaAnd calculating to obtain the running value of the equipment.

Further onThe specific steps of obtaining the monitoring coefficient of each device according to the migration value include: the method comprises the steps of obtaining the environment temperature of the air compression station during operation, marking the environment temperature as HWi, obtaining the corresponding operation scale value and operation value of each device, and utilizing a formulaAnd calculating to obtain a monitoring coefficient, wherein eta is expressed as an operation correction factor, and the value range is (0, 1).

Further, the specific steps of analyzing the equipment operated in the air compression station by the monitoring coefficient include: the method comprises the steps of obtaining a monitoring coefficient and a preset monitoring threshold value corresponding to each device, obtaining a ratio of the monitoring coefficient to the monitoring threshold value, analyzing a comparison value, generating a first analysis signal if an integer part of the ratio is not larger than zero, generating a second analysis signal if the integer part of the ratio is larger than zero, marking the corresponding device as a selected device according to the second analysis signal, generating a prompt instruction, and classifying and combining the first analysis signal, the second analysis signal, the selected device and the prompt instruction to obtain a monitoring analysis set.

Further, the specific steps of early warning and prompting the operation of each device in the monitoring and analysis set include: acquiring analysis signals corresponding to the monitoring analysis set when each device operates, acquiring an integer part of a ratio corresponding to a first analysis signal if the device corresponds to the first analysis signal, matching the integer part with a preset energy efficiency table, acquiring a corresponding energy efficiency grade and prompting; if the equipment corresponds to the second analysis signal, early warning and prompting that the equipment energy efficiency grade corresponding to the second analysis signal is low; and the integral part of the ratio is used for analyzing and matching corresponding energy efficiency grades, and the energy efficiency grades comprise a low energy efficiency grade, a medium energy efficiency grade and a high energy efficiency grade.

The invention has the beneficial effects that:

1. the method comprises the steps that original information of the air compression station is collected through an information collection module, the original information is sent to a processing module through a transmission module, the received original information is sent to a database by the processing module to be stored, the original information is marked and calculated to obtain a transport standard value of each device, and the transport standard value is convenient for carrying out overall analysis on the non-operation state of each device;

2. the operation information of the air compression station is analyzed and matched through the analysis matching module to obtain a migration value, collected data are marked, so that the data are convenient for simultaneous calculation, the purpose of improving the data calculation efficiency is achieved, and effective data support is provided for the state analysis of the equipment during operation through simultaneous calculation from the aspects of the type, the state, the operation accumulation duration, the real-time power, the real-time temperature and the like of the equipment;

3. the early warning prompt module carries out early warning and suggestion to the operation of each equipment in the monitoring analysis set, can be to the equipment operation condition independent analysis of different grade type in the air compression station for the result of efficiency analysis is more accurate, can effectively improve the monitoring effect of air compression station efficiency.

Drawings

The invention will be further described with reference to the accompanying drawings.

Fig. 1 is a block diagram of an energy efficiency online monitoring system of an air compression station according to the present invention.

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.

Referring to fig. 1, the invention relates to an online energy efficiency monitoring system for an air compression station, which comprises an information acquisition module, a transmission module, a processing module, an analysis matching module, an early warning prompt module and a database; the transmission module is used for transmitting data among the modules;

the information acquisition module is used for acquiring original information of the air compression station, wherein the original information comprises the name, type, power, running state, running temperature, running duration and running coordinates of each device in the air compression station; the air compression station generally comprises an air compressor, a compressed air storage tank, a dryer, an oil removal filter and other equipment, and parameters and requirements of different types of equipment during operation are different; the equipment with abnormal energy efficiency is conveniently positioned and searched through the equipment name and the operating coordinate; the original information is sent to a processing module through a transmission module, and the processing module sends the received original information to a database for storage; the method comprises the following steps: acquiring names and types of all devices in original information, respectively marking the names of all the devices as SMi, wherein i is 1, 2 and 3 … n; acquiring a corresponding device type according to the name of the device and marking the device type as SLi; setting different equipment types to correspond to one different type associated value, matching the equipment type in the original information with all the equipment types to obtain a corresponding type associated value, and marking the type associated value as SLGi; marking the standard power of each device as SBGi; marking the total operation time preset by each device as SYi;

carrying out normalization processing on each item of marked data, and calculating and acquiring a running standard value of each device by using a formula YB (mu) multiplied by SLGi (a1 multiplied by SBGi + a2 multiplied by SYi); wherein mu is expressed as an equipment correction factor, the value can be 0.562614, a1 and a2 are expressed as different proportionality coefficients, SLGi is expressed as a type correlation value corresponding to the equipment type, SBGi is expressed as the standard power of the equipment, SYi is expressed as the preset total operation time of the equipment, and the preset total operation time can be understood as the shelf life of food; storing each device and the corresponding operation scale value; the operation scale value is based on the standard parameters of each device when not operating, and the whole condition of the device can be represented and described through the operation scale value.

The analysis matching module is used for analyzing and matching the operation information of the air compression station to obtain an operation value, and comprises the following steps: after the air compression station operates, acquiring the operation accumulated time of each device in the air compression station on the day and marking the operation accumulated time as YSLi; the operation accumulated time length represents the time length from the starting operation to the monitoring value in the same day; marking the device state as SZi; setting different equipment states to correspond to different state association values, matching the equipment states in the original information with a preset state association table, and acquiring the state association values corresponding to the equipment states and marking the state association values as ZTGi; wherein the content of the first and second substances,device states include, but are not limited to, run, standby, and shutdown, and corresponding state associated values may be 1, 0.5, and 0; respectively marking the real-time power and the real-time temperature of each device in operation as SSGi and SSwi; normalizing and valuing the marked data items by using a formulaCalculating to obtain a migration value of the equipment; the method comprises the following steps that SLGi is expressed as a type correlation value corresponding to the type of equipment, ZTGi is expressed as a state correlation value corresponding to the state of the equipment, YSLi is expressed as running accumulated duration of the equipment, SSGi is expressed as real-time power of the equipment in running, and SBGi is expressed as standard power of the equipment; the migration value is used for simultaneously analyzing all parameters of the operating equipment, so that the operation of the equipment is conveniently and integrally analyzed;

acquiring the monitoring coefficient of each device according to the migration value, acquiring the environment temperature of the air compression station during operation, marking the environment temperature as HWi, acquiring the corresponding migration value and the corresponding migration value of each device, and utilizing a formulaCalculating to obtain a monitoring coefficient, wherein eta is expressed as an operation correction factor, and the value can be 0.954187; the monitoring coefficient is used for connecting the operation standard value and the operation value of each device and matching each parameter of the device in operation with the standard parameter;

analyzing equipment running in the air compression station through the monitoring coefficient to obtain a monitoring analysis set; the method comprises the following steps: acquiring a monitoring coefficient and a preset monitoring threshold corresponding to each device, acquiring a ratio of the monitoring coefficient to the monitoring threshold, analyzing the ratio, and generating a first analysis signal if an integer part of the ratio is not greater than zero; if the integer part of the ratio is larger than zero, generating a second analysis signal, marking the corresponding equipment as selected equipment according to the second analysis signal, generating a prompt instruction, and classifying and combining the first analysis signal, the second analysis signal, the selected equipment and the prompt instruction to obtain a monitoring analysis set; the energy efficiency of the device can be analyzed by the integer part of the ratio, and the larger the integer part of the ratio is, the higher the energy efficiency of the corresponding device is, for example, when the integer part of the ratio is smaller than 1 and larger than 0, it is determined that the energy efficiency of the device is the lowest, and when the integer part of the ratio is equal to 1 and larger than 1, the energy efficiency of the device is also higher and higher, and the device corresponds to different energy efficiency levels.

The early warning prompting module carries out early warning and prompting on the operation of each device in the monitoring analysis set; the method comprises the following specific steps: acquiring analysis signals corresponding to the monitoring analysis set when each device operates, acquiring an integer part of a ratio corresponding to a first analysis signal if the device corresponds to the first analysis signal, matching the integer part with a preset energy efficiency table, acquiring a corresponding energy efficiency grade and prompting; if the equipment corresponds to the second analysis signal, early warning and prompting that the equipment energy efficiency grade corresponding to the second analysis signal is low, marking the equipment corresponding to the second analysis signal as early warning equipment, acquiring an equipment name and an operation coordinate corresponding to the early warning equipment, and prompting a worker to overhaul through the equipment name and the operation coordinate; the energy efficiency grade can comprise a low energy efficiency grade, an intermediate energy efficiency grade and a high energy efficiency grade, the value range corresponding to the low energy efficiency grade can be (0,1), the value range corresponding to the intermediate energy efficiency grade can be [1,3 ], the value range corresponding to the high energy efficiency grade can be [3,5), the low energy efficiency grade represents that the energy utilization rate is low, the equipment runs abnormally, the intermediate energy efficiency grade represents that the energy utilization rate is medium, and the equipment runs normally; the high energy efficiency grade indicates that the energy consumption utilization rate is high, and the equipment runs normally;

acquiring the energy efficiency grade corresponding to each device, and utilizing a formula according to the energy efficiency grade and the energy efficiency value range corresponding to each deviceCalculating to obtain an energy monitoring value of the air compression station, wherein DZi represents a median value of a device energy efficiency grade value range, matching the energy monitoring value with a preset energy monitoring threshold value, and if the energy monitoring value is not greater than the energy monitoring threshold value, judging that the energy efficiency utilization of the air compression station is low; and if the energy monitoring value is larger than the energy monitoring threshold value, judging that the energy efficiency utilization rate of the air compression station is high.

In this embodiment, the energy efficiency condition of the air compression station is analyzed based on a local aspect and an overall aspect, and for the analysis of the equipment, effective data support is provided for the energy efficiency analysis of different equipment from two aspects of standard data and actual operation data, so that the defect that the result of the energy efficiency analysis is not accurate due to single data in the existing energy efficiency monitoring analysis scheme can be overcome.

The formulas in the invention are all a formula which is obtained by removing dimensions and taking numerical value calculation, and software simulation is carried out by collecting a large amount of data to obtain the formula closest to the real condition, and the preset proportionality coefficient and the threshold value in the formula are set by the technical personnel in the field according to the actual condition or are obtained by simulating a large amount of data.

In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and the like are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be directly connected or indirectly connected through an intermediate member, or they may be connected through two or more elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.

While one embodiment of the present invention has been described in detail, the description is only a preferred embodiment of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.