CN111794813A - Steam turbine operation performance monitoring method, device and electronic equipment - Google Patents

Abstract

The embodiments of this specification disclose a method, device and electronic device for monitoring the operation performance of a steam turbine unit. The method includes: during the operation of the steam turbine unit, calculating the real-time heat consumption rate and the average heat consumption rate of the current steam turbine unit, and the average heat consumption rate of the steam turbine unit is calculated. The consumption rate is the average value of the calculated real-time heat consumption rates other than the currently calculated real-time heat consumption rate; determine the difference between the currently calculated real-time heat consumption rate and the average heat consumption rate; according to the The difference determines whether the operational performance of the steam turbine set is abnormal. The embodiments of the present specification can perform real-time monitoring on abnormal performance of the steam turbine unit by a simple and effective means, thereby improving the timeliness and accuracy of monitoring the abnormal performance of the steam turbine unit.

Description

Steam turbine operation performance monitoring method, device and electronic equipment

technical field

This specification relates to the field of safe operation of steam turbine units, and in particular, to a method, device, electronic device and computer-readable storage medium for monitoring the operation performance of a steam turbine.

Background technique

The operating conditions of large-capacity thermal power units in China are complex and changeable, and the performance is extremely prone to abnormality. Therefore, the real-time monitoring of the performance status of the unit is particularly important. Existing research on abnormal performance monitoring of steam turbines mainly focuses on two aspects: feature identification of monitoring parameters and monitoring system development. Among them, for the research of monitoring parameters, some scholars use the principal component analysis method to reduce the dimensionality of the relevant parameters at the data level, and then analyze the main parameter categories that affect the performance of the unit. For the research of monitoring system, some scholars proposed to build a monitoring system based on the basic framework of Model View Controller (MVC), supplemented by advanced algorithms, to realize functions such as performance detection.

Considering the particularity of the distributed control system (DCS) in communication, although the MVC framework can display the calculation and analysis results through rich reports and graphical interfaces, the existing research is basically in the theoretical stage and cannot break through the DCS communication. On the other hand, the above method using component analysis can accurately identify the key parameters and common fault categories that affect the performance of the steam turbine unit, but the method is cumbersome and the actual implementation will be limited.

SUMMARY OF THE INVENTION

The embodiments of this specification provide a method, device, electronic device, and computer-readable storage medium for monitoring the operational performance of a steam turbine, so as to solve the problems existing in the existing monitoring methods.

In order to solve the above technical problems, this specification is implemented as follows:

In the first aspect, the embodiments of this specification provide a method for monitoring the operation performance of a steam turbine unit, including: during the operation of the steam turbine unit, calculating the real-time heat consumption rate and the average heat consumption rate of the current steam turbine unit, where the average heat consumption rate is The average value of the calculated real-time heat consumption rate other than the currently calculated real-time heat consumption rate; determining the difference between the currently calculated real-time heat consumption rate and the average heat consumption rate; determining according to the difference Whether the operating performance of the steam turbine unit is abnormal.

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

Among them, HR _x (t) represents the real-time heat consumption rate of the steam turbine unit, P represents the load of the steam turbine unit, F _ms represents the main steam flow of the steam turbine unit, and H _ms represents the main steam enthalpy of the steam turbine unit , F _fw is the main feed water flow of the steam turbine unit, H _fw is the main feed water enthalpy of the steam turbine unit, F _hrh is the reheat steam flow of the steam turbine unit, H _hrh is the reheat steam enthalpy of the steam turbine unit , F _crh represents the steam flow rate of the reheated cold section of the steam turbine unit, H _crh represents the steam enthalpy of the reheated cold section of the steam turbine unit, F _shsp represents the superheated desuperheating water flow of the steam turbine unit, H _shsp represents the steam turbine unit is the superheated desuperheating water enthalpy of the group, F _rhsp represents the reheated desuperheating water flow of the steam turbine unit, and H _rhsp represents the reheated desuperheated water enthalpy of the steam turbine unit.

Optionally, the method further includes: using a predetermined back pressure correction curve to perform back pressure correction on the calculated real-time heat consumption rate.

Optionally, before initially calculating the real-time heat consumption rate of the steam turbine unit, the method further includes: pre-stabilizing the steam turbine unit for a predetermined time.

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

Wherein, i represents the number of times of calculating the real-time heat consumption rate, HR ₀ (i) represents the average heat consumption rate calculated in the i-th time, and HR _x (t) represents the real-time heat consumption rate calculated in the t-th time.

Optionally, the determining whether the operating performance of the steam turbine unit is abnormal according to the difference value includes: determining whether the difference value exceeds the average heat consumption rate of a predetermined proportion for a predetermined number of consecutive times; When the number of times exceeds the average heat consumption rate by a predetermined ratio, it is determined that the operating performance of the steam turbine unit is abnormal.

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

Optionally, before determining whether the operating performance of the steam turbine unit is abnormal according to the difference value, the method further includes: using a support vector machine algorithm to perform time series prediction on the difference value to obtain a prediction of a predetermined prediction step size. difference;

Wherein, the determining whether the operating performance of the steam turbine unit is abnormal according to the difference value includes: determining whether the predicted difference value exceeds the average heat consumption rate of a predetermined proportion continuously for a predetermined number of times; When the number of times exceeds the average heat consumption rate by a predetermined ratio, it is determined that the operating performance of the steam turbine unit is abnormal.

Optionally, after it is determined that the operational performance of the steam turbine unit is abnormal, the method further includes: sending an early warning signal indicating that the performance of the steam turbine unit is abnormal and the performance of the steam turbine unit corresponding to the predicted step size. Unusual forecast time points.

In a second aspect, the embodiments of this specification provide a device for monitoring the operation performance of a steam turbine unit, including:

The calculation module is used to calculate the real-time heat consumption rate and the average heat consumption rate of the current steam turbine unit during the operation of the steam turbine unit, and the average heat consumption rate is the calculated real-time heat consumption rate other than the currently calculated real-time heat consumption rate. The average value of the heat consumption rate;

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

The second determination module is configured to determine whether the operation performance of the steam turbine unit is abnormal according to the difference value.

Optionally, the second determining module determining whether the operating performance of the steam turbine unit is abnormal according to the difference value includes: determining whether the difference value exceeds the average heat consumption rate of a predetermined proportion for a predetermined number of consecutive times; In the case that the difference exceeds the average heat consumption rate of a predetermined proportion for a predetermined number of consecutive times, it is determined that the operating performance of the steam turbine unit is abnormal.

Optionally, the device further includes a prediction module, configured to use a support vector machine algorithm to perform time-series prediction on the difference value to obtain a predetermined prediction before determining whether the operation performance of the steam turbine unit is abnormal according to the difference value. Prediction difference of step size;

Wherein, the second determining module determining whether the operation performance of the steam turbine unit is abnormal according to the difference value includes: determining whether the predicted difference value exceeds the average heat consumption rate of a predetermined proportion for a predetermined number of consecutive times; In the case that the difference exceeds the average heat consumption rate of a predetermined proportion for a predetermined number of consecutive times, it is determined that the operating performance of the steam turbine unit is abnormal.

In a third aspect, the embodiments of this specification provide an electronic device, including:

The device for monitoring the operation performance of a steam turbine set according to the second aspect; or,

A processor, a memory, and a computer program stored on the memory and executable on the processor, when the computer program is executed by the processor, the method for monitoring the operation performance of a steam turbine set according to the first aspect above is implemented .

In a fourth aspect, the embodiments of this specification provide a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and the computer program, when executed by a processor, implements the steam turbine according to the first aspect above Group operational performance monitoring method.

The above-mentioned at least one technical solution adopted in the embodiments of this specification can achieve the following beneficial effects: by calculating the real-time heat consumption rate of the steam turbine unit and the deviation of the heat consumption rate of the steam turbine unit determined by the average heat consumption rate, the performance degradation degree of the steam turbine can be described, and the Evaluate the abnormal performance of the steam turbine unit. In this way, manual participation can be avoided to the greatest extent, and the influence caused by the operations of different operators can be reduced. Therefore, the abnormal performance of the steam turbine unit can be monitored in real time by a simple and effective means, and the abnormal performance evaluation of the unit can be realized. Thereby, the timeliness and accuracy of the abnormal monitoring of the operation performance of the steam turbine unit are improved.

In addition, by predicting the deviation of the heat consumption rate of the steam turbine unit, it is possible to predict the performance degradation while describing the degree of performance degradation of the steam turbine, reducing the influence of the error in directly predicting the heat consumption rate of the steam turbine unit. In addition, the SVM-based prediction algorithm can process massive data, accurately identify abnormalities such as performance degradation of the steam turbine unit, and give early warning of abnormal performance in time.

Description of drawings

The accompanying drawings described herein are used to provide further understanding of the specification and constitute a part of the specification. The exemplary embodiments and descriptions of the specification are used to explain the specification and do not constitute an improper limitation of the specification. In the attached image:

FIG. 1 is a flow chart of a method for monitoring the operation performance of a steam turbine unit according to an embodiment of the present specification.

FIG. 2 is a working principle diagram of a support vector machine algorithm according to an embodiment of the present specification.

FIG. 3 is an example flow chart of a method for monitoring the operation performance of a steam turbine set according to the first embodiment of the present specification.

FIG. 4 is an example flow chart of a method for monitoring the operation performance of a steam turbine set according to the second embodiment of this specification.

FIG. 5 is a structural block diagram of the apparatus for monitoring the operation performance of a steam turbine unit according to an embodiment of the present specification.

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

Detailed ways

In order to make the purpose, technical solutions and advantages of this specification clearer, the technical solutions of this specification will be clearly and completely described below in conjunction with specific embodiments of this specification and the corresponding drawings. Obviously, the described embodiments are only some of the embodiments of the present specification, but not all of the embodiments. Based on the embodiments in this specification, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of this specification.

The technical solutions provided by the embodiments of the present specification will be described in detail below with reference to the accompanying drawings.

FIG. 1 is a flow chart of a method for monitoring the operation performance of a steam turbine unit according to an embodiment of the present specification.

As shown in Figure 1, it includes the following steps:

S102, during the operation of the steam turbine unit, calculate the real-time heat consumption rate and the average heat consumption rate of the current steam turbine unit, where the average heat consumption rate is the calculated real-time heat consumption rate other than the currently calculated real-time heat consumption rate average of.

The heat consumption rate of the steam turbine unit is calculated in real time according to the corresponding parameter data during the operation of the unit. The parameters required for the calculation mainly include the main steam pressure P _ms (MPa), the main steam temperature T _ms (°C), and the main steam flow F _ms ( t/h), reheat steam pressure P _hrh (MPa), reheat steam temperature T _hrh (℃), main feed water flow F _fw (t/h), main feed water temperature T _fw (℃), unit back pressure P _b (Pka), the extraction steam pressure P ₁ (MPa) of the first high-pressure heater; the first-stage extraction steam temperature T ₁ (°C), the inlet water temperature T _fi1 (°C) of the first high-pressure heater, the first high-pressure heater Normal drain temperature T _d1 (°C), outlet water temperature T _fo1 (°C) of the first high-pressure heater, extraction steam pressure P ₂ (MPa) of the second high-pressure heater, second-stage extraction steam temperature T ₂ (°C), The second high pressure heater inlet water temperature T _fi2 (℃), the second high pressure heater normal drain temperature T _d2 (℃), the second high pressure heater outlet water temperature T _fo2 (℃), the superheated desuperheating water temperature T _shsp ( °C), superheated desuperheating water flow F _shsp (t/h), reheated desuperheated water temperature T _rhsp (°C), reheated desuperheated water flow F _rhsp (t/h), unit power P (MW).

In one embodiment, the heat consumption rate of the steam turbine unit is calculated according to the following formula (1):

Among them, HR _x (t) is the heat consumption rate of the steam turbine unit, P is the load of the steam turbine unit, F _ms is the main steam flow of the steam turbine unit, H _ms is the main steam enthalpy, F _fw is the main feed water flow, and H _fw is the main steam flow. Feed water enthalpy, F _hrh means reheat steam flow, H _hrh means reheat steam enthalpy, F _crh means reheat cold section steam flow, H _crh means reheat cold section steam enthalpy, F _shsp means superheated desuperheating water flow, H _shsp means The enthalpy of superheated and desuperheated water, F _rhsp is the flow rate of reheated and desuperheated water, and H _rhsp is the enthalpy of reheated and desuperheated water.

The value of H _ms can be calculated by using the unit operating data P _ms and T _ms according to the IAPWS-IF97 software; the value of H _hrh can be calculated by using the unit operating data P _hrh and T _hrh according to the IAPWS-IF97 software; the value of H _crh can be calculated according to The IAPWS-IF97 software uses the unit operating data P ₂ and T ₂ to calculate and obtain; the value of H _shsp can be calculated and obtained by using the unit operating data T _shsp according to the IAPWS-IF97 software; the value of H _rhsp can be obtained according to the IAPWS-IF97 software using the unit operating data T _rhsp is calculated and obtained.

Except for the reheat steam flow F _hrh , other flow parameters can be obtained by collecting data from the corresponding sensors of the DCS system.

The reheat steam flow F _hrh can be calculated by the following formula (3):

F _hrh =F _ms -F ₁ -F ₂ (3)

in:

Both F ₁ and F ₂ represent intermediate variables;

h _fo1 represents the outlet water enthalpy of the first high-pressure heater of the steam turbine unit; h _fo1 can be obtained through the IAPWS-IF97 software according to the first high-pressure heater outlet water temperature T _fo1 in the unit operating data;

h _fi1 represents the inlet water enthalpy of the first high-pressure heater of the steam turbine unit; h _fi1 can be obtained through the IAPWS-IF97 software according to the first high-pressure heater inlet water temperature T _fi1 in the unit operating data;

h ₁ represents the extraction enthalpy of the first high-pressure heater of the steam turbine unit; h ₁ can be obtained through the IAPWS-IF97 software according to the first-stage extraction temperature T ₁ in the unit operating data;

h _d1 represents the normal draining enthalpy of the first high-pressure heater of the steam turbine unit; h _d1 can be obtained through the IAPWS-IF97 software according to the normal draining temperature T _d1 of the first high-pressure heater in the unit operating data;

h _fo2 represents the outlet water enthalpy of the second high-pressure heater of the steam turbine unit; h _fo2 can be obtained by looking up the table according to the outlet water temperature T _fo2 of the second high-pressure heater in the unit operating data;

h _fi2 represents the inlet water enthalpy of the second high pressure heater of the steam turbine unit; h _fi2 can be obtained through the IAPWS-IF97 software according to the second high pressure heater inlet water temperature T _fi2 in the unit operating data;

h ₂ represents the extraction enthalpy of the second high-pressure heater of the steam turbine unit; h ₂ can be obtained through the IAPWS-IF97 software according to the second-stage extraction temperature T ₂ in the unit operating data;

h _d2 represents the normal drainage enthalpy of the second high-pressure heater of the steam turbine unit; h _d2 can be obtained through the IAPWS-IF97 software according to the normal drainage temperature T _d2 of the second high-pressure heater in the unit operating data.

In one embodiment, before initially performing the above step S102 to calculate the real-time heat consumption rate of the steam turbine unit, the method further includes: pre-stabilizing the steam turbine unit for a predetermined time.

The initial calculation refers to the first calculation of the real-time heat consumption rate of the steam turbine unit. For example, on the premise that the steam turbine unit is stable for at least 30 minutes, the real-time calculation of the heat consumption rate can be performed on the operating data of the unit to obtain the real-time calculated heat consumption rate value. In this way, the heat consumption rate level of the steam turbine can be reflected on the basis of obtaining near-steady-state operating condition data.

The real-time calculation of the heat consumption rate of the steam turbine unit can be performed at a predetermined time interval Δt. For example, the determination of the predetermined time should consider ensuring that the unit operating state is within an acceptable range if an abnormality occurs. Otherwise, if the time interval is too long, the abnormal condition of the unit cannot be handled in time. In addition, the performance of the steam turbine unit usually does not change greatly in a relatively short period of time under the stable operation state. Therefore, in consideration of reducing the calculation cost, the predetermined time interval Δt can be set within the range of 10 to 20 minutes, for example, the heat consumption rate of the steam turbine unit is calculated in real time every 10 to 20 minutes, but this specification is not limited to this specific embodiment .

Since the real-time calculation of the heat consumption 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 consumption rate finally output at the back pressure end of the unit and the heat consumption rate calculated in real time, in one embodiment, this specification implements The method for monitoring the operation performance of a steam turbine unit further includes: using a back pressure correction curve to perform back pressure correction on the calculated real-time heat consumption rate, so as to obtain a more accurate calculated heat consumption rate of the steam turbine unit.

For example, the back pressure correction curve may be the factory default back pressure correction curve of the steam turbine unit.

The average heat consumption rate of the steam turbine unit is the average value of the calculated real-time heat consumption rate except the currently calculated real-time heat consumption rate, that is, when the current real-time heat consumption rate of the steam turbine unit is calculated, the previously calculated The average of the obtained real-time heat rate.

In one embodiment, the currently calculated average heat consumption rate of the steam turbine unit can be calculated according to the following formula (2)

Among them, i represents the number of times the real-time heat consumption rate of the steam turbine unit is calculated in real time, HR ₀ (i) represents the average heat consumption rate calculated at the i-th time, and HR _x (t) represents the real-time steam turbine unit calculated at the t-th time. heat rate.

Specifically, the method for obtaining the average heat consumption rate HR ₀ (i) is as follows:

1) When the real-time heat consumption rate calculation is not performed, then t=0, HR ₀ (0) is meaningless, and no operation is performed;

2) When the real-time heat consumption rate calculation is performed once, then t=1. Since there is no accumulated real-time heat consumption rate before, the average heat consumption rate is not obtained by the calculation at this time, that is, the HR ₀ (1) value does not exist;

3) When the heat consumption rate calculation is performed twice, then t=2, HR ₀ (2)=HR _x (1)

4) When the heat consumption rate calculation is carried out 3 times, then t=3,

5) When the calculation of the heat consumption rate is performed i times, t=i,

That is to say, the average heat consumption rate of the steam turbine unit is determined according to the superposition and summation of all the heat consumption rates calculated in the (i-1) times before the current i-th calculation of the real-time heat consumption rate of the steam turbine unit, and then averaged. For example, if the real-time heat consumption rate is currently calculated for the 1000th time, the average heat consumption rate is the average of the real-time heat consumption rates obtained for the previous 999 times.

S104: Determine the difference between the currently calculated real-time heat consumption rate and the average heat consumption rate.

That is, the real-time heat consumption rate obtained by the current i-th calculation is subtracted from the average value of the real-time heat consumption rate obtained in the previous (i-1) times, that is, the corresponding difference is obtained.

In the embodiment of this specification, after each real-time calculation of the heat consumption rate of the steam turbine unit at the current time point, it will be compared with the average value of all heat consumption rates calculated before the current time point, and the corresponding difference is obtained.

S106: Determine whether the operating performance of the steam turbine unit is abnormal according to the difference.

In one embodiment, the determining whether the operating performance of the steam turbine unit is abnormal according to the difference value includes: determining whether the difference value exceeds the average heat consumption rate of a predetermined proportion continuously for a predetermined number of times; In the case that the average heat consumption rate of the predetermined proportion is exceeded continuously for a predetermined number of times, it is determined that the operation performance of the steam turbine unit is abnormal.

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

Taking the predetermined ratio as ±10%, the predetermined number of times as 3 times, and the average value of the heat consumption rate of the steam turbine unit as K as an example, if the difference is a positive number, whether the difference exceeds the predetermined proportion of the steam turbine continuously for a predetermined number of times. The average heat consumption rate of the group refers to whether the difference is greater than K×(+10%) three times in a row. When the difference is negative, whether the difference exceeds a predetermined proportion of the average heat consumption rate of the steam turbine unit refers to whether the difference is smaller than K×(-10%) for three consecutive times. That is, if the difference is in the range of K×(-10%)～K×(+10%), it means that the performance of the current steam turbine unit is normal. If it exceeds K×(-10%)～K×( +10%) range, it is determined that the current performance of the steam turbine unit is abnormal.

According to an embodiment of the present specification, after the determining that the operating 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. Therefore, after receiving the warning signal, the relevant crew members can make corresponding operations or responses in time for the abnormal performance of the steam turbine unit.

In order to further improve the efficiency of monitoring the abnormal performance of the steam turbine unit, the method for monitoring the operation performance of the steam turbine unit disclosed in the embodiments of this specification can also predict the abnormal performance of the steam turbine unit in advance.

According to an embodiment of the present specification, before determining whether the operating performance of the steam turbine unit is abnormal according to the difference value, the method further includes: using a support vector machine algorithm to perform time series prediction on the difference value to obtain a predetermined prediction The predicted difference value of the step size; wherein, the determining whether the operating performance of the steam turbine unit is abnormal according to the difference value includes: determining whether the predicted difference value exceeds the average heat consumption rate of a predetermined proportion continuously for a predetermined number of times; When the predicted difference exceeds the average heat consumption rate in a predetermined proportion for a predetermined number of consecutive times, it is determined that the operational performance of the steam turbine unit is abnormal.

Support Vector Machine (SVM) is a generalized linear classifier that performs binary classification on data according to supervised learning. It is a single-input single-output algorithm. Its working principle is shown in Figure 2, which is an embodiment of this specification. The working principle of the support vector machine algorithm.

As shown in the figure, the difference σ(t)12 and the time series t14 between the real-time heat consumption rate and the average heat consumption rate currently calculated in step S104 are input into the support vector machine algorithm module 14 for time series prediction, then the performance of the steam turbine unit is obtained. The predicted difference σ ^* (t+k)16 corresponding to the anomaly. Among them, the time series t is used as a timestamp, in order to unify the calculated real-time heat consumption rate and average heat consumption rate and the time node of the difference, so that it can be calculated on the same time node. k is the prediction step size. In this embodiment, it can be the number of times to calculate the real-time heat consumption rate of the steam turbine unit. For example, if k=3, it means that the predicted output value corresponds to the third calculation of the real-time heat consumption rate after the current time point. The difference σ(t). If each predetermined interval time Δt is 10 minutes as an example, according to the difference 10 and the time series t currently input to the support vector machine algorithm module 14, the real-time heat consumption rate and the average heat consumption rate of the steam turbine unit calculated after 30 minutes can be predicted. difference in consumption rate.

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

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

After determining that the operation performance of the steam turbine unit is abnormal, the method further includes: sending an early warning signal indicating the abnormal performance of the steam turbine unit and a predicted time point of the abnormal performance of the steam turbine unit corresponding to the prediction step size. Therefore, after receiving the early warning signal, the relevant crew members can make corresponding operations in advance according to the abnormal performance prediction result of the steam turbine unit.

The steam turbine unit operation performance monitoring method of the embodiment of this specification calculates the real-time heat consumption rate and the average heat consumption rate of the steam turbine unit, and the performance degradation degree of the steam turbine can be described by the heat consumption rate deviation of the steam turbine unit, so as to evaluate the abnormal operation performance of the steam turbine unit. In this way, manual participation can be avoided to the greatest extent, and the influence caused by the operations of different operators can be reduced. Therefore, the abnormal performance of the steam turbine unit can be monitored in real time by a simple and effective means, and the abnormal performance evaluation of the unit can be realized. Thereby, the timeliness and accuracy of the abnormal monitoring of the operation performance of the steam turbine unit are improved.

In addition, by predicting the deviation of the heat consumption rate of the steam turbine unit, it is possible to predict the performance degradation while describing the degree of performance degradation of the steam turbine, reducing the influence of the error in directly predicting the heat consumption rate of the steam turbine unit. Moreover, based on the SVM prediction algorithm, the method of the embodiment of the present specification can process massive data, can accurately identify abnormalities such as performance degradation of the steam turbine unit, and give an early warning of abnormal performance in time.

Hereinafter, the method for monitoring the operation performance of the steam turbine set according to the embodiments of the present specification will be described with reference to different embodiments.

Fig. 3 is an example flow chart of the method for monitoring the operation performance of the steam turbine unit according to the first embodiment of the present specification. In this embodiment, whether the performance of the steam turbine unit is directly calculated by the difference between the real-time heat consumption rate and the average heat consumption rate calculated in real time each time Abnormal surveillance assessment results.

As shown in Figure 3, it includes the following steps:

S202, perform real-time calculation of the heat consumption rate and the average value of the heat consumption rate of the steam turbine unit at predetermined time intervals, for example, 10 minutes.

S204, calculate the difference between the current heat consumption rate and the average value of the heat consumption rate.

S206, does the difference exceed the average value of the heat consumption rate of a predetermined ratio for a predetermined number of consecutive times? If yes, go to step S208; otherwise, return to step S204 to continue the next calculation of the difference in heat consumption rate.

S208, it is determined that the operation performance of the steam turbine unit is abnormal.

S210, a warning signal of abnormal performance is given.

Fig. 4 is an example flow chart of a method for monitoring the operation performance of a steam turbine unit according to the second embodiment of the present specification. In this embodiment, the difference in the predicted heat consumption rate after the predetermined prediction step time is obtained by the difference between the average heat consumption rates calculated in real time at present value, and according to the predicted heat consumption rate difference, the prediction evaluation result of whether the performance of the steam turbine unit is abnormal at the predicted time point is given.

As shown in Figure 4, it includes the following steps:

S302, real-time calculation of the heat consumption rate and the average value of the heat consumption rate of the steam turbine unit is performed at predetermined time intervals, for example, 10 minutes.

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

S306, perform SVM time series prediction on the difference value to obtain the predicted difference value.

S308: Does the predicted difference exceed the average heat consumption rate of a predetermined ratio for a predetermined number of consecutive times? If yes, go to step S208, otherwise go back to step S304 to continue the next calculation of the difference in heat consumption rate.

S310, it is determined that the operation performance of the steam turbine unit is abnormal.

S312 , a performance abnormality warning signal and a performance abnormality prediction time point are given.

In an embodiment of the present specification, a device for monitoring the operation performance of a steam turbine unit is also provided, and FIG. 5 is a structural block diagram of the device for monitoring the operation performance of a steam turbine unit 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 used to calculate the real-time heat consumption rate and the average heat consumption rate of the current steam turbine unit during the operation of the steam turbine unit, and the average heat consumption rate is the calculated real-time heat consumption rate other than the currently calculated real-time heat consumption rate. Average heat rate.

The first determination module 1400 is used to determine the difference between the currently calculated real-time heat consumption rate and the average heat consumption rate, and the second determination module 1600 is used to determine whether the operating performance of the steam turbine unit is abnormal according to the difference .

In one embodiment, the apparatus 1000 further includes a correction module (not shown in the figure) for performing back pressure correction on the calculated real-time heat consumption rate by using a predetermined back pressure correction curve.

In one embodiment, the second determining module determining whether the operating performance of the steam turbine unit is abnormal according to the difference value includes:

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

In the case that the difference value exceeds the average heat consumption rate by a predetermined ratio continuously for a predetermined number of times, it is determined that the operational performance of the steam turbine unit is abnormal.

In one embodiment, the apparatus 1000 further includes a first indication module (not shown in the figure), configured to send a warning indicating that the performance of the steam turbine unit is abnormal after the determination that the operational performance of the steam turbine unit is abnormal Signal.

In one embodiment, the apparatus 1000 for monitoring the operational performance of the steam turbine unit further includes a prediction module (not shown in the figure), configured to use a support vector before determining whether the operational performance of the steam turbine unit is abnormal according to the difference value The computer algorithm performs time series prediction on the difference, and obtains the prediction difference of the predetermined prediction step size;

Wherein, the second determining module determining whether the operating performance of the steam turbine unit is abnormal according to the difference includes:

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

In the case that the predicted difference value exceeds the average heat consumption rate by a predetermined ratio continuously for a predetermined number of times, it is determined that the operation performance of the steam turbine unit is abnormal.

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

The monitoring apparatus provided in the embodiments of the present specification can implement each process implemented by the method embodiments in FIG. 1 to FIG. 4 , and in order to avoid repetition, details are not repeated here.

Optionally, according to yet another embodiment of the present specification, an electronic device 2000 is also provided, and FIG. 6 is a block diagram of the hardware structure of the electronic device according to the embodiment of the present specification.

On the one hand, the electronic device 2000 may include the aforementioned apparatus for monitoring the operation performance of a steam turbine unit, which is used to implement the method for monitoring the operation performance of a steam turbine unit in any embodiment of the present specification.

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 on the memory 2200 and executable on the processor 2400, the computer program being executed by the processor 2400 to implement the foregoing Each process of the steam turbine operating performance monitoring method of any embodiment can achieve the same technical effect, and to avoid repetition, it will not be repeated here.

Finally, according to another embodiment of the present specification, a computer-readable storage medium is also provided, and a computer program is stored on the computer-readable storage medium, and the computer program, when executed by a processor, realizes the steam turbine described in any of the above-mentioned embodiments. Each process of the group operation performance monitoring method, and can achieve the same technical effect, in order to avoid repetition, it will not be repeated here.

As will be appreciated by one skilled in the art, the embodiments of the present specification may be provided as a method, system, or computer program product. Accordingly, this description may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present specification 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, etc.) having computer-usable program code embodied therein.

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

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory result in an article of manufacture comprising instruction means, the instructions The apparatus implements the functions specified in the flow or flow of the flowcharts and/or the block or blocks of the block diagrams.

These computer program instructions can also be loaded on a computer or other programmable data processing device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process such that The instructions provide steps for implementing the functions specified in the flow or blocks of the flowcharts and/or the block or blocks of the block diagrams.

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

Memory may include non-persistent memory in computer readable media, random access memory (RAM) and/or non-volatile memory in the form of, for example, read only memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media includes both persistent and non-permanent, removable and non-removable media, and storage of information may be implemented by any method or technology. Information may be computer readable instructions, data structures, modules of programs, 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 Disc (DVD) or other optical storage, Magnetic tape cartridges, 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, computer-readable media does not include transitory computer-readable media, such as modulated data signals and carrier waves.

It should also be noted that the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that a process, method, article or device comprising a series of elements includes not only those elements, but also Other elements not expressly listed, or which are inherent to such a process, method, article of manufacture, or apparatus are also included. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in the process, method, article of manufacture, or device that includes the element.

As will be appreciated by one skilled in the art, the embodiments of the present specification may be provided as a method, a system or a computer program product. Accordingly, this description may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present specification 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, etc.) having computer-usable program code embodied therein.

The above descriptions are merely examples of the present specification, and are not intended to limit the present specification. Various modifications and variations of this specification are possible for those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this specification shall be included within the scope of the claims of this specification.

Claims (14)

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; or,

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.

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