阅读说明：本技术 汽轮机运行性能监测方法、装置及电子设备 (Method and device for monitoring operation performance of steam turbine and electronic equipment ) 是由 范景利 高志刚 石家魁 孟宪春 付俊丰 姚坤 徐基伟 刘禹 陈录 张磊 于 2020-06-30 设计创作，主要内容包括：本说明书实施例公开了一种汽轮机组运行性能监测方法、装置及电子设备,该方法包括：在汽轮机组运行过程中,计算当前汽轮机组的实时热耗率及平均热耗率,所述平均热耗率为除当前计算的所述实时热耗率之外的已计算实时热耗率的平均值；确定当前计算的所述实时热耗率与所述平均热耗率的差值；根据所述差值确定所述汽轮机组的运行性能是否异常。本说明书实施例可以简单且有效的手段对汽轮机组性能异常进行实时监测,由此提高汽轮机组运行性能异常监测的时效性及准确性。(The embodiment of the specification discloses a method and a device for monitoring the running performance of a steam turbine set and electronic equipment, wherein the method comprises the following steps: calculating the real-time heat consumption rate and the average heat consumption rate of the current steam turbine set in the running process of the steam turbine set, wherein the average heat consumption rate is the average value of the calculated real-time heat consumption rates except the currently calculated real-time heat consumption rate; determining a difference between the currently calculated real-time heat rate and the average heat rate; and determining whether the running performance of the steam turbine set is abnormal or not according to the difference value. The embodiment of the specification can monitor the performance abnormity of the steam turbine set in real time by a simple and effective means, so that the timeliness and the accuracy of monitoring the running performance abnormity of the steam turbine set are improved.)

1. A method for monitoring the running performance of a steam turbine unit is characterized by comprising the following steps:

calculating the real-time heat consumption rate and the average heat consumption rate of the current steam turbine set in the running process of the steam turbine set, wherein the average heat consumption rate is the average value of the calculated real-time heat consumption rates except the currently calculated real-time heat consumption rate;

determining a difference between the currently calculated real-time heat rate and the average heat rate;

and determining whether the running performance of the steam turbine set is abnormal or not according to the difference value.

2. The method of claim 1, wherein the real-time heat rate is calculated according to equation (1) below:

wherein HR is_x(t) represents the real-time heat rate of the steam turbine set, P represents the load of the steam turbine set, F_msRepresenting the main steam flow, H, of the steam turbine_msRepresenting the main steam enthalpy, F, of said steam turbine unit_fwIndicating the main feed water flow, H, of the steam turbine_fwRepresenting the main feed water enthalpy, F, of the steam turbine set_hrhRepresenting the reheat steam flow, H, of the steam turbine set_hrhRepresenting the reheat steam enthalpy, F, of said steam turbine group_crhRepresenting the reheat and Cold section steam flow, H, of the steam turbine set_crhRepresenting the reheat and cold section steam enthalpy, F, of said steam turbine set_shspIndicating the flow of superheated desuperheated water, H, of said steam turbine unit_shspRepresenting the enthalpy of superheat desuperheated water of the steam turbine plant, F_rhspIndicating reheat attemperation water flow, H, of said steam turbine set_rhspRepresenting the reheat desuperheating water enthalpy of the steam turbine set.

3. The method of claim 1, further comprising:

and carrying out backpressure correction on the calculated real-time heat consumption rate by utilizing a preset backpressure correction curve.

4. The method of claim 1, further comprising, prior to initially calculating a real-time heat rate of the steam turbine group:

and stably operating the steam turbine set in advance at a preset time.

5. The method according to claim 1 or 2, wherein the average heat rate is calculated according to the following equation (2):

wherein i represents the number of times the real-time heat rate is calculated, HR₀(i) Represents the average heat rate, HR, calculated at the i-th time_x(t) represents the real-time heat rate of the tth calculation.

6. The method of claim 1, wherein said determining whether the operational performance of the steam turbine group is abnormal based on the difference comprises:

determining whether said difference exceeds a predetermined percentage of said average heat rate for a predetermined number of consecutive times;

and determining that the running performance of the steam turbine set is abnormal under the condition that the difference value continuously exceeds the average heat rate of a preset proportion for a preset number of times.

7. The method of claim 6, further comprising, after said determining that the operational performance of the steam turbine group is abnormal:

sending a warning signal indicating that the performance of the steam turbine set is abnormal.

8. The method of claim 1, prior to said determining whether the operational performance of the steam turbine group is abnormal based on the difference, further comprising:

performing time sequence prediction on the difference value by using a support vector machine algorithm to obtain a prediction difference value of a preset prediction step length;

wherein determining whether the operational performance of the steam turbine set is abnormal according to the difference comprises:

determining whether said predicted difference exceeds said average heat rate by a predetermined proportion for a predetermined number of consecutive times;

and determining that the running performance of the steam turbine set is abnormal under the condition that the predicted difference value continuously exceeds the average heat rate of a preset proportion for a preset number of times.

9. The method of claim 8, further comprising, after said determining that the operational performance of the steam turbine group is abnormal:

and sending an early warning signal indicating the performance abnormity of the steam turbine set and a prediction time point of the performance abnormity of the steam turbine set corresponding to the prediction step length.

10. A steam turbine unit operation performance monitoring device is characterized by comprising:

the calculation module is used for calculating the real-time heat consumption rate and the average heat consumption rate of the current steam turbine set in the running process of the steam turbine set, wherein the average heat consumption rate is the average value of the calculated real-time heat consumption rates except the currently calculated real-time heat consumption rate;

a first determining module, configured to determine a difference between the currently calculated real-time heat rate and the average heat rate;

and the second determining module is used for determining whether the running performance of the steam turbine set is abnormal or not according to the difference value.

11. The apparatus of claim 10, wherein the second determination module determining whether the operational performance of the turboset is abnormal based on the difference comprises:

determining whether said difference exceeds a predetermined percentage of said average heat rate for a predetermined number of consecutive times;

and determining that the running performance of the steam turbine set is abnormal under the condition that the difference value continuously exceeds the average heat rate of a preset proportion for a preset number of times.

12. The apparatus of claim 10, further comprising a prediction module, configured to perform a time-series prediction on the difference value by using a support vector machine algorithm before determining whether the operation performance of the steam turbine set is abnormal according to the difference value, so as to obtain a prediction difference value of a predetermined prediction step length;

wherein the second determining module determining whether the operational performance of the turboset is abnormal according to the difference comprises:

determining whether said predicted difference exceeds said average heat rate by a predetermined proportion for a predetermined number of consecutive times;

and determining that the running performance of the steam turbine set is abnormal under the condition that the predicted difference value continuously exceeds the average heat rate of a preset proportion for a preset number of times.

13. An electronic device, comprising:

a turbo unit operation performance monitoring apparatus according to any one of claims 10 to 12; alternatively, the first and second electrodes may be,

processor and memory and a computer program stored on the memory and executable on the processor, which computer program, when executed by the processor, implements a method of monitoring the operational performance of a steam turbine plant according to any of claims 1 to 9.

14. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method of monitoring the running performance of a steam turbine group according to any one of claims 1 to 9.

Technical Field

The present disclosure relates to the field of safe operation of a steam turbine set, and in particular, to a method and an apparatus for monitoring operation performance of a steam turbine, an electronic device, and a computer-readable storage medium.

Background

The operation conditions of domestic high-capacity thermal power generating units are complex and changeable, and the performance is extremely easy to be abnormal, so that the real-time monitoring on the performance state of the units is particularly important. In the existing turbine performance abnormity monitoring research, two aspects of characteristic identification of monitoring parameters and monitoring system development are mainly involved. For the research on monitoring parameters, a learner can perform dimension reduction on related parameters in a data layer by using a principal component analysis method, and further analyze the main parameter types influencing the unit performance. For the research of the monitoring system, some researchers put forward a basic framework based on a Model View Controller (MVC) to build the monitoring system, and the basic framework is assisted by an advanced algorithm to realize the functions of performance detection and the like.

Considering the particularity of a Distributed Control System (DCS) in the aspect of communication, although an MVC framework can display calculation and analysis results through abundant reports and graphical interfaces, the existing research is basically in a theoretical stage and cannot break through the DCS communication limit; on the other hand, the above method using component analysis can accurately identify key parameters and common fault categories affecting the performance of the steam turbine set, but the method is complicated and practical implementation is limited.

Disclosure of Invention

The embodiment of the specification provides a method and a device for monitoring the operating performance of a steam turbine, electronic equipment and a computer readable storage medium, so as to solve the problems of the existing monitoring method.

In order to solve the above technical problem, the present specification is implemented as follows:

in a first aspect, an embodiment of the present specification provides a method for monitoring an operation performance of a steam turbine unit, including: calculating the real-time heat consumption rate and the average heat consumption rate of the current steam turbine set in the running process of the steam turbine set, wherein the average heat consumption rate is the average value of the calculated real-time heat consumption rates except the currently calculated real-time heat consumption rate; determining a difference between the currently calculated real-time heat rate and the average heat rate; and determining whether the running performance of the steam turbine set is abnormal or not according to the difference value.

Optionally, the real-time heat rate is calculated according to the following equation (1):

wherein HR is_x(t) represents the real-time heat rate of the steam turbine set, P represents the load of the steam turbine set, F_msRepresenting the main steam flow, H, of the steam turbine_msRepresenting the main steam enthalpy, F, of said steam turbine unit_fwIndicating the main feed water flow, H, of the steam turbine_fwRepresenting the main feed water enthalpy, F, of the steam turbine set_hrhRepresents a reheat steam flow rate of the steam turbine group,H_hrhrepresenting the reheat steam enthalpy, F, of said steam turbine group_crhRepresenting the reheat and Cold section steam flow, H, of the steam turbine set_crhRepresenting the reheat and cold section steam enthalpy, F, of said steam turbine set_shspIndicating the flow of superheated desuperheated water, H, of said steam turbine unit_shspRepresenting the enthalpy of superheat desuperheated water of the steam turbine plant, F_rhspIndicating reheat attemperation water flow, H, of said steam turbine set_rhspRepresenting the reheat desuperheating water enthalpy of the steam turbine set.

Optionally, the method further includes: and carrying out backpressure correction on the calculated real-time heat consumption rate by utilizing a preset backpressure correction curve.

Optionally, before initially calculating the real-time heat rate of the steam turbine set, the method further includes: and stably operating the steam turbine set in advance at a preset time.

Optionally, the average heat rate is calculated according to the following equation (2):

wherein i represents the number of times the real-time heat rate is calculated, HR₀(i) Represents the average heat rate, HR, calculated at the i-th time_x(t) represents the real-time heat rate of the tth calculation.

Optionally, the determining whether the operation performance of the steam turbine set is abnormal according to the difference includes: determining whether said difference exceeds a predetermined percentage of said average heat rate for a predetermined number of consecutive times; and determining that the running performance of the steam turbine set is abnormal under the condition that the difference value continuously exceeds the average heat rate of a preset proportion for a preset number of times.

Optionally, after determining that the operation performance of the steam turbine set is abnormal, the method further includes: sending a warning signal indicating that the performance of the steam turbine set is abnormal.

Optionally, before determining whether the operation performance of the steam turbine set is abnormal according to the difference, the method further includes: performing time sequence prediction on the difference value by using a support vector machine algorithm to obtain a prediction difference value of a preset prediction step length;

wherein determining whether the operational performance of the steam turbine set is abnormal according to the difference comprises: determining whether said predicted difference exceeds said average heat rate by a predetermined proportion for a predetermined number of consecutive times; and determining that the running performance of the steam turbine set is abnormal under the condition that the predicted difference value continuously exceeds the average heat rate of a preset proportion for a preset number of times.

Optionally, after determining that the operation performance of the steam turbine set is abnormal, the method further includes: and sending an early warning signal indicating the performance abnormity of the steam turbine set and a prediction time point of the performance abnormity of the steam turbine set corresponding to the prediction step length.

In a second aspect, an embodiment of the present specification provides a steam turbine unit operation performance monitoring apparatus, including:

the calculation module is used for calculating the real-time heat consumption rate and the average heat consumption rate of the current steam turbine set in the running process of the steam turbine set, wherein the average heat consumption rate is the average value of the calculated real-time heat consumption rates except the currently calculated real-time heat consumption rate;

a first determining module, configured to determine a difference between the currently calculated real-time heat rate and the average heat rate;

and the second determining module is used for determining whether the running performance of the steam turbine set is abnormal or not according to the difference value.

Optionally, the determining, by the second determining module, whether the operation performance of the steam turbine group is abnormal according to the difference includes: determining whether said difference exceeds a predetermined percentage of said average heat rate for a predetermined number of consecutive times; and determining that the running performance of the steam turbine set is abnormal under the condition that the difference value continuously exceeds the average heat rate of a preset proportion for a preset number of times.

Optionally, the apparatus further includes a prediction module, configured to perform time sequence prediction on the difference value by using a support vector machine algorithm before determining whether the operation performance of the steam turbine set is abnormal according to the difference value, so as to obtain a prediction difference value of a predetermined prediction step length;

wherein the second determining module determining whether the operational performance of the turboset is abnormal according to the difference comprises: determining whether said predicted difference exceeds said average heat rate by a predetermined proportion for a predetermined number of consecutive times; and determining that the running performance of the steam turbine set is abnormal under the condition that the predicted difference value continuously exceeds the average heat rate of a preset proportion for a preset number of times.

In a third aspect, an embodiment of the present specification provides an electronic device, including:

a steam turbine unit operation performance monitoring device according to the second aspect; alternatively, the first and second electrodes may be,

a processor and a memory and a computer program stored on the memory and being executable on the processor, the computer program, when executed by the processor, implementing the method for monitoring the operational performance of a steam turbine group according to the first aspect.

In a fourth aspect, the present specification provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for monitoring the running performance of a steam turbine unit according to the first aspect.

The embodiment of the specification adopts at least one technical scheme which can achieve the following beneficial effects: the performance degradation degree of the steam turbine can be described by calculating the heat consumption rate deviation of the steam turbine set determined by the real-time heat consumption rate and the average heat consumption rate of the steam turbine set so as to evaluate the running performance abnormity of the steam turbine set. Therefore, manual participation can be avoided to the maximum extent, and influences caused by operations of different operators can be reduced. Therefore, the performance abnormity of the steam turbine set can be monitored in real time by a simple and effective means, and the abnormity evaluation of the performance of the set is realized. Therefore, the timeliness and the accuracy of monitoring the abnormal running performance of the steam turbine set are improved.

In addition, by predicting the heat consumption rate deviation of the steam turbine set, the performance degradation can be predicted while describing the performance degradation degree of the steam turbine, and the error influence of directly predicting the heat consumption rate of the steam turbine set is reduced. And mass data can be processed based on the SVM prediction algorithm, so that the abnormity such as performance reduction of the steam turbine set can be accurately identified, and early warning of performance abnormity can be given in time.

Drawings

The accompanying drawings, which are included to provide a further understanding of the specification and are incorporated in and constitute a part of this specification, illustrate embodiments of the specification and together with the description serve to explain the specification and not to limit the specification in a non-limiting sense. In the drawings:

fig. 1 is a flowchart of a method for monitoring the operating performance of a steam turbine unit according to an embodiment of the present disclosure.

Fig. 2 is a working schematic diagram of the support vector machine algorithm according to the embodiment of the present disclosure.

Fig. 3 is a flowchart illustrating an exemplary method for monitoring the operational performance of a steam turbine according to the first embodiment of the present disclosure.

Fig. 4 is a flowchart illustrating an exemplary method for monitoring the operational performance of a steam turbine according to a second embodiment of the present disclosure.

Fig. 5 is a block diagram illustrating a structure of a device for monitoring an operational performance of a steam turbine according to an embodiment of the present disclosure.

Fig. 6 is a block diagram of a hardware structure of an electronic device implementing various embodiments of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present disclosure more clear, the technical solutions of the present disclosure will be clearly and completely described below with reference to the specific embodiments of the present disclosure and the accompanying drawings. It is to be understood that the embodiments described are only a few embodiments of the present disclosure, and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present specification without any creative effort belong to the protection scope of the present specification.

The technical solutions provided by the embodiments of the present description are described in detail below with reference to the accompanying drawings.

Fig. 1 is a flowchart of a method for monitoring the operating performance of a steam turbine unit according to an embodiment of the present disclosure.

As shown in fig. 1, the method comprises the following steps:

s102, calculating the real-time heat consumption rate and the average heat consumption rate of the current steam turbine set in the running process of the steam turbine set, wherein the average heat consumption rate is the average value of the calculated real-time heat consumption rates except the currently calculated real-time heat consumption rate.

The heat consumption rate of the steam turbine set is calculated in real time according to corresponding parameter data during the running of the set, and the parameters required during calculation mainly comprise main steam pressure P_ms(MPa), temperature T of the main steam_ms(° c), main steam flow F_ms(t/h), reheat steam pressure P_hrh(MPa), reheat steam temperature T_hrh(DEG C), main feed water flow F_fw(T/h) principal feedwater temperature T_fw(° c), unit back pressure P_b(Pka), extraction pressure P of the first high-pressure heater₁(MPa); first stage extraction temperature T₁(DEG C), the inlet water temperature T of the first high-pressure heater_fi1(° c), normal drain temperature T of the first high pressure heater_d1(DEG C), the outlet water temperature T of the first high-pressure heater_fo1(DEG C), the extraction pressure P of the second high-pressure heater₂(MPa) two-stage steam extraction temperature T₂(DEG C), inlet water temperature T of the second high-pressure heater_fi2(° c), normal drainage temperature T of the second high pressure heater_d2(DEG C), outlet water temperature T of the second high-pressure heater_fo2(DEG C), temperature T of superheated desuperheated water_shsp(DEG C), overheat desuperheating water flow F_shsp(T/h) reheat desuperheating Water temperature T_rhsp(° c) and reheat attemperation water flow F_rhsp(t/h) and unit power P (MW).

In one embodiment, the heat rate of the steam turbine set is calculated according to equation (1) below:

wherein HR is_x(t) represents the heat rate of the steam turbine unit, P represents the load of the steam turbine unit, F_msIndicating main steam flow, H, of the turboset_msDenotes the enthalpy of the main steam, F_fwIndicating main feed water flow, H_fwDenotes the enthalpy of the main feed water, F_hrhIndicating reheat steam flow, H_hrhRepresenting reheat steam enthalpy, F_crhRepresenting the reheat cold section steam flow, H_crhRepresenting the enthalpy of the cold reheat section steam, F_shspIndicating the flow of superheated desuperheated water, H_shspIndicating enthalpy of superheated desuperheated water, F_rhspIndicating reheat attemperation water flow, H_rhspIndicating the reheat desuperheated water enthalpy.

H_msThe value of (A) can utilize the unit operation data P according to IAPWS-IF97 software_ms、T_msCalculating to obtain; h_hrhThe value of (A) can utilize the unit operation data P according to IAPWS-IF97 software_hrh、T_hrhCalculating to obtain; h_crhThe value of (A) can utilize the unit operation data P according to IAPWS-IF97 software₂、T₂Calculating to obtain; h_shspThe value of (A) can utilize the unit operation data T according to IAPWS-IF97 software_shspCalculating to obtain; h_rhspThe value of (A) can utilize the unit operation data T according to IAPWS-IF97 software_rhspAnd (6) calculating.

Reheat steam flow F_hrhIn addition, other flow parameters may be obtained by collecting data from corresponding sensors of the DCS system.

Reheat steam flow F_hrhCan be calculated by the following equation (3):

F_hrh＝F_ms-F₁-F₂(3)

wherein:

F₁and F₂All represent intermediate variables;

h_fo1representing the first high pressure heater outlet water enthalpy of the steam turbine set; h is_fo1According to the outlet water temperature T of the first high-pressure heater in the unit operation data_fo1Obtained through IAPWS-IF97 software;

h_fi1representing the first high pressure heater inlet water enthalpy of the steam turbine set; h is_fi1According to the inlet water temperature T of the first high-pressure heater in the unit operation data_fi1By IAPWS-IF97 softwareObtaining;

h₁representing the extraction enthalpy of a first high-pressure heater of the turboset; h is₁Can be based on the one-section steam extraction temperature T in the unit operation data₁Obtained through IAPWS-IF97 software;

h_d1indicating the normal drainage enthalpy of a first high-pressure heater of the steam turbine set; h is_d1The normal drainage temperature T of the first high-pressure heater in the unit operation data can be determined_d1Obtained through IAPWS-IF97 software;

h_fo2representing the second high pressure heater outlet water enthalpy of the steam turbine set; h is_fo2According to the outlet water temperature T of the second high-pressure heater in the unit operation data_fo2Obtaining through table look-up;

h_fi2representing the second high pressure heater inlet water enthalpy of the steam turbine set; h is_fi2According to the inlet water temperature T of the second high-pressure heater in the unit operation data_fi2Obtained through IAPWS-IF97 software;

h₂representing the extraction enthalpy of a second high-pressure heater of the steam turbine set; h is₂Can be based on the two-stage extraction temperature T in the unit operation data₂Obtained through IAPWS-IF97 software;

h_d2indicating the normal drainage enthalpy of a second high-pressure heater of the steam turbine set; h is_d2The normal drainage temperature T of the second high-pressure heater in the unit operation data can be determined_d2Obtained by IAPWS-IF97 software.

In one embodiment, before initially performing the step S102 to calculate the real-time heat rate of the steam turbine set, the method further includes: and stably operating the steam turbine set in advance at a preset time.

The initial calculation means that the real-time heat rate of the steam turbine set is calculated for the first time, for example, the real-time heat rate can be calculated on the unit operation data on the premise that the steam turbine set is stable for at least 30 minutes, so that a real-time calculated heat rate value is obtained. Therefore, the heat rate level of the steam turbine can be reflected on the basis of obtaining the data of the near-steady-state working condition.

The real-time calculation of the heat rate of the steam turbine set may be performed at predetermined time intervals Δ t, for example, the determination of the predetermined time may be considered to ensure that the operating conditions of the set are within an acceptable range if an anomaly occurs. Otherwise, if the time interval is too long, the abnormal condition of the unit cannot be processed in time. In addition, the performance of the turboset does not change greatly in a short time under a stable operation state. Therefore, considering the reduction of the calculation cost, the predetermined time interval Δ t may be set within a range of 10 to 20 minutes, for example, the heat rate of the steam turbine set may be calculated in real time every 10 to 20 minutes, but the present description is not limited to this specific embodiment.

Because the real-time calculation of the heat rate of the steam turbine unit occurs at the high-pressure cylinder end of the steam turbine, in order to avoid the deviation between the heat rate finally output at the back pressure end of the steam turbine unit and the real-time calculated heat rate, in an embodiment, the method for monitoring the running performance of the steam turbine unit in the embodiment of the present specification further includes: and carrying out backpressure correction on the calculated real-time heat consumption rate by utilizing a backpressure correction curve so as to obtain more accurate calculated heat consumption rate of the steam turbine set.

For example, the back pressure correction curve may be a factory default back pressure correction curve for the steam turbine set.

The average heat rate of the steam turbine set is an average value of the calculated real-time heat rates other than the currently calculated real-time heat rate, that is, when the real-time heat rate of the steam turbine set is currently calculated, the average value of the previously calculated real-time heat rates is calculated at the same time.

In one embodiment, the currently calculated average heat rate of the steam turbine set may be calculated according to equation (2) below

Wherein i represents the number of times the real-time heat rate of the steam turbine set is calculated in real time, HR₀(i) Represents the average heat rate, HR, calculated at the i-th time_xAnd (t) representing the real-time heat consumption rate of the steam turbine set calculated at the tth time.

In particular, average heat rate HR₀(i) The acquisition method comprises the following steps:

1) when the real-time heat rate calculation is not performed, t is 0, HR₀(0) No meaning, no operation is carried out;

2) when the real-time heat rate calculation is carried out for 1 time, t is equal to 1, and since the real-time heat rate is not accumulated before, the average heat rate, namely HR, is not obtained by the calculation at the moment₀(1) The value is not present;

3) when the heat rate calculation is performed 2 times, t is 2, HR₀(2)＝HR_x(1)

4) When the heat rate calculation is performed 3 times, t becomes 3,

5) when the heat rate calculation is performed i times, t is i,

that is, the average heat rate of the steam turbine set is determined by summing all heat rates calculated (i-1) times before the current ith calculation of the real-time heat rate of the steam turbine set and then averaging. For example, if the real-time heat rate is currently calculated for the 1000 th time, the average heat rate is the average of the real-time heat rates obtained the previous 999 times.

S104, determining the difference value between the currently calculated real-time heat rate and the average heat rate.

That is, the real-time heat rate obtained by the current ith calculation is subtracted from the average value of the real-time heat rates obtained by the previous (i-1) times, so as to obtain the corresponding difference value.

In the embodiment of the present specification, after the heat consumption rate of the steam turbine set at the current time point is obtained through real-time calculation each time, the heat consumption rate is compared with an average value of all the heat consumption rates obtained through calculation before the current time point, and a corresponding difference value is obtained.

And S106, determining whether the running performance of the steam turbine set is abnormal or not according to the difference value.

In one embodiment, said determining whether the operational performance of the turboset is abnormal based on the difference comprises: determining whether said difference exceeds a predetermined percentage of said average heat rate for a predetermined number of consecutive times; and determining that the running performance of the steam turbine set is abnormal under the condition that the difference value continuously exceeds the average heat rate of a preset proportion for a preset number of times.

The predetermined ratio may be in the range of ± 10% to ± 10%, and the predetermined number of times may be 2 to 6 times, and the present specification is not limited to this specific embodiment.

Taking the preset proportion of +/-10%, the preset times of 3 times and the average value of the heat consumption rates of the steam turbine units as K as an example, if the difference is a positive number, whether the difference exceeds the average heat consumption rate of the steam turbine units with the preset proportion for 3 times continuously refers to whether the difference is greater than Kx (+ 10%) continuously. In the case of a negative difference, whether the difference exceeds a predetermined percentage of the average heat rate of the steam turbine block means whether the difference is less than kx (-10%) 3 consecutive times. That is, the difference value is located between the K × (-10%) to K × (+ 10%) ranges, indicating that the performance of the current turbine group is normal, and if the K × (-10%) to K × (+ 10%) ranges are exceeded 3 times in succession, it is determined that the performance of the current turbine group is abnormal.

According to an embodiment of the present description, after said determining that the operational performance of the turboset is abnormal, the method further comprises: sending a warning signal indicating that the performance of the steam turbine set is abnormal. Therefore, after the related machine set personnel receive the warning signal, corresponding operation or response can be timely made according to the performance abnormal condition of the steam turbine set.

In order to further improve the efficiency of monitoring the performance abnormality of the steam turbine unit, the method for monitoring the running performance of the steam turbine unit disclosed in the embodiment of the specification can also predict the performance abnormality of the steam turbine unit in advance.

According to an embodiment of the present description, before said determining whether the operational performance of the turboset is abnormal according to the difference value, the method further comprises: performing time sequence prediction on the difference value by using a support vector machine algorithm to obtain a prediction difference value of a preset prediction step length; wherein determining whether the operational performance of the steam turbine set is abnormal according to the difference comprises: determining whether said predicted difference exceeds said average heat rate by a predetermined proportion for a predetermined number of consecutive times; and determining that the running performance of the steam turbine set is abnormal under the condition that the predicted difference value continuously exceeds the average heat rate of a preset proportion for a preset number of times.

A Support Vector Machine (SVM) is a generalized linear classifier for binary classification of data in a supervised learning manner, and is a single-input single-output algorithm, and the working principle of the SVM is shown in fig. 2, and fig. 2 is a working principle diagram of the SVM algorithm in the embodiment of the present specification.

As shown in the figure, the difference σ (t)12 between the real-time heat rate and the average heat rate obtained by the current calculation in step S104 and the time sequence t 14 are input to the support vector machine algorithm module 14 for time sequence prediction, and a prediction difference σ corresponding to the performance abnormality of the steam turbine set is obtained^*(t + k) 16. The time sequence t is used as a timestamp, and the real-time heat consumption rate, the average heat consumption rate and the time node of the difference value are calculated on the same time node in order to unify the real-time heat consumption rate, the average heat consumption rate and the time node of the difference value. k is the prediction step size, and in this embodiment, the number of times of calculating the real-time heat rate of the steam turbine set may be, for example, k is 3, which indicates that the predicted output value is the difference σ (t) corresponding to the 3 rd time after the current time point when the real-time heat rate is calculated. If the predetermined interval Δ t is 10 minutes each time, for example, the difference between the real-time heat rate and the average heat rate of the steam turbine set calculated after 30 minutes can be predicted according to the difference 10 currently input to the support vector machine algorithm module 14 and the time series t.

Optionally, the prediction operation is generally performed after the heat rate difference is calculated at least 20 times, so as to obtain more calculated difference data as the predicted input data, thereby improving the accuracy of the SVM prediction result. The prediction step k is generally about 10% to 20% of the time series t. If the time series takes the heat consumption difference calculated 20 times as input, the prediction step k can be set to be 2-4, namely the difference of the corresponding real-time heat consumption time points calculated 2-4 times after the current time point is predicted.

In an embodiment, the predetermined number of consecutive times may also be a predetermined number of consecutive times, for example, 2 to 6 times, and the present specification is not limited to this specific embodiment. Similarly, whether the operation performance of the steam turbine unit is abnormal is determined by judging whether the predicted difference value exceeds the average heat rate of the predetermined ratio several times in succession.

After determining that the operational performance of the steam turbine set is abnormal, the method further includes: and sending an early warning signal indicating the performance abnormity of the steam turbine set and a prediction time point of the performance abnormity of the steam turbine set corresponding to the prediction step length. Therefore, after the related machine set personnel receive the early warning signal, corresponding operation can be carried out in advance according to the performance abnormity prediction result of the steam turbine set.

The method for monitoring the running performance of the steam turbine set in the embodiment of the specification calculates the real-time heat consumption rate and the average heat consumption rate of the steam turbine set, and can describe the performance degradation degree of the steam turbine through the heat consumption rate deviation of the steam turbine set so as to evaluate the running performance abnormality of the steam turbine set. Therefore, manual participation can be avoided to the maximum extent, and influences caused by operations of different operators can be reduced. Therefore, the performance abnormity of the steam turbine set can be monitored in real time by a simple and effective means, and the abnormity evaluation of the performance of the set is realized. Therefore, the timeliness and the accuracy of monitoring the abnormal running performance of the steam turbine set are improved.

In addition, by predicting the heat consumption rate deviation of the steam turbine set, the performance degradation can be predicted while describing the performance degradation degree of the steam turbine, and the error influence of directly predicting the heat consumption rate of the steam turbine set is reduced. In addition, the method of the embodiment of the specification can process mass data based on the SVM prediction algorithm, can accurately identify the performance degradation and other abnormalities of the steam turbine set, and can give performance abnormality early warning in time.

The method for monitoring the running performance of the steam turbine set according to the embodiment of the present disclosure will be described with reference to different embodiments.

Fig. 3 is a flowchart illustrating an example of a method for monitoring the operating performance of a steam turbine unit according to a first embodiment of the present disclosure, in which a result of monitoring whether the performance of the steam turbine unit is abnormal is directly obtained by calculating a difference between a real-time heat rate and an average heat rate in real time each time.

As shown in fig. 3, the method comprises the following steps:

s202, the heat consumption rate of the steam turbine set and the average value of the heat consumption rate are calculated in real time at preset time intervals, for example, 10 minutes.

And S204, calculating the difference value between the current heat rate and the average value of the heat rate.

S206, is the difference value continuously exceeded a predetermined ratio of average heat rate for a predetermined number of times? If yes, go to step S208, otherwise return to step S204, and continue the next calculation of the heat rate difference.

And S208, determining that the running performance of the steam turbine set is abnormal.

And S210, giving a performance abnormity warning signal.

Fig. 4 is a flowchart illustrating an example of a method for monitoring the operating performance of a steam turbine set according to a second embodiment of the present disclosure, where in this embodiment, a predicted heat rate difference value after a predetermined prediction step time is obtained from a difference value of average heat rates currently calculated in real time, and a prediction evaluation result of whether the performance of the steam turbine set is abnormal at the prediction time point is given according to the predicted heat rate difference value.

As shown in fig. 4, the method comprises the following steps:

s302, the heat consumption rate of the steam turbine set and the average value of the heat consumption rate are calculated in real time at preset time intervals, for example, 10 minutes.

S304, calculating the difference value between the current heat rate and the average value of the heat rate.

S306, SVM time sequence prediction is carried out on the difference value to obtain a prediction difference value.

S308, predict whether the difference value exceeds the average value of the heat rate of the predetermined ratio for a predetermined number of consecutive times? If yes, go to step S208, otherwise return to step S304, and continue the next calculation of the heat rate difference.

S310, determining that the running performance of the steam turbine set is abnormal.

And S312, giving out a performance abnormity early warning signal and a performance abnormity prediction time point.

In an embodiment of the present specification, a steam turbine unit operation performance monitoring apparatus is further provided, and fig. 5 is a block diagram of a structure of the steam turbine unit operation performance monitoring apparatus according to the embodiment of the present specification.

As shown in fig. 5, the apparatus 1000 includes a calculation module 1200, a first determination module 1400, and a second determination module 1600.

The calculation module 1200 is configured to calculate a real-time heat rate and an average heat rate of the current steam turbine set during the operation of the steam turbine set, where the average heat rate is an average value of calculated real-time heat rates other than the currently calculated real-time heat rate.

The first determination module 1400 is configured to determine a difference between the currently calculated real-time heat rate and the average heat rate, and the second determination module 1600 is configured to determine whether the operation performance of the steam turbine set is abnormal according to the difference.

In one embodiment, the apparatus 1000 further comprises a correction module (not shown) for performing a backpressure correction on the calculated real-time heat rate using a predetermined backpressure correction curve.

In one embodiment, the second determination module determining whether the operational performance of the steam turbine group is abnormal based on the difference includes:

determining whether said difference exceeds a predetermined percentage of said average heat rate for a predetermined number of consecutive times;

and determining that the running performance of the steam turbine set is abnormal under the condition that the difference value continuously exceeds the average heat rate of a preset proportion for a preset number of times.

In one embodiment, the apparatus 1000 further comprises a first indication module (not shown) for sending a warning signal indicating the performance abnormality of the steam turbine set after the determining that the operational performance of the steam turbine set is abnormal.

In an embodiment, the apparatus 1000 for monitoring the operation performance of the steam turbine set further includes a prediction module (not shown in the figure) configured to perform a time sequence prediction on the difference value by using a support vector machine algorithm before determining whether the operation performance of the steam turbine set is abnormal according to the difference value, so as to obtain a prediction difference value of a predetermined prediction step length;

wherein the second determining module determining whether the operational performance of the turboset is abnormal according to the difference comprises:

determining whether said predicted difference exceeds said average heat rate by a predetermined proportion for a predetermined number of consecutive times;

and determining that the running performance of the steam turbine set is abnormal under the condition that the predicted difference value continuously exceeds the average heat rate of a preset proportion for a preset number of times.

In one embodiment, the apparatus 1000 further includes a second indication module (not shown in the figure) configured to send an early warning signal indicating that the performance of the steam turbine set is abnormal and a predicted time point of the performance abnormality of the steam turbine set corresponding to the predicted step size after the determining that the operation performance of the steam turbine set is abnormal.

The monitoring device provided in the embodiments of this specification can implement each process implemented by the method embodiments of fig. 1 to fig. 4, and is not described here again to avoid repetition.

Optionally, according to still another embodiment of the present specification, there is further provided an electronic device 2000, and fig. 6 is a block diagram of a hardware structure of the electronic device according to the embodiment of the present specification.

In one aspect, the electronic device 2000 may include the aforementioned device for monitoring the running performance of the steam turbine set, and is configured to implement the method for monitoring the running performance of the steam turbine set according to any embodiment of the present disclosure.

On the other hand, as shown in fig. 6, the electronic device 2000 may include a processor 2400, a memory 2200, and a computer program stored in the memory 2200 and capable of being executed on the processor 2400, where when the computer program is executed by the processor 2400, the processes of the method for monitoring the operating performance of the steam turbine set according to any of the foregoing embodiments are implemented, and the same technical effects can be achieved, and are not repeated herein to avoid repetition.

Finally, according to another embodiment of the present specification, a computer-readable storage medium is further provided, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the method for monitoring the operational performance of the steam turbine group according to any of the foregoing embodiments, and can achieve the same technical effect, and in order to avoid repetition, the computer program is not described herein again.

As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The above description is only an example of the present specification, and is not intended to limit the present specification. Various modifications and alterations to this description will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present specification should be included in the scope of the claims of the present specification.