Thermotechnical protection interlocking control system and method for cylinder switching heat supply steam turbine

Abstract

The invention discloses a cylinder switching heat supply steam turbine thermotechnical protection interlocking control system and method, and belongs to the field of steam turbines, and the system specifically comprises an equipment abnormity diagnosis and detection module, a false alarm elimination module, an abnormity division module, a steam detection unit, an area positioning module and a remote supervision terminal. According to the method, data in use of the steam turbine are collected, instantaneous interference and real faults are effectively distinguished by calculating the area of a floating waveform deviation region within a time threshold value, false triggering caused by short-term fluctuation is avoided, that is, single-point judgment is replaced with trend analysis, and the fault rate of the steam turbine is effectively improved through combined analysis of steam extraction pressure and steam flow. According to the method, fault types are distinguished, the troubleshooting range is narrowed, whether a fault is from a boiler or a steam valve is accurately judged by normalizing data in the boiler and comparing a preset risk angle with a difference value according to a steam extraction fault, and the position of a fault valve is quickly locked based on a three-dimensional simulation model of a steam extraction regulating valve and coordinate marks, so that the manual inspection time is shortened.

Description

Technical Field

[0001] The present invention relates to the field of steam turbines, and particularly to a thermal protection interlock control system and method for a cylinder-cutting heat supply steam turbine. Background Technique

[0002] A cylinder-cutting heat supply steam turbine is a steam turbine system commonly used in industrial and power production, usually used to meet the dual demands of thermal energy and electrical energy, combining the utilization of thermal energy and the generation of electrical energy, and is very important in some occasions that require the simultaneous supply of hot water or steam, especially for cogeneration systems;

[0003] The thermal protection interlock control system of a heat supply steam turbine is an important safety guarantee system, aiming to ensure that the steam turbine will not be affected by abnormal conditions such as excessive load, temperature or pressure during operation, and prevent equipment damage and accidents;

[0004] However, traditional systems mostly rely on the static threshold judgment of single parameters such as temperature, pressure or vibration to judge abnormalities, lacking consideration of the correlation of multiple parameters and the dynamic characteristics of working conditions. For example, the short-term vibration exceeding the limit caused by thermal expansion during the start-up stage of the steam turbine, or the instantaneous speed fluctuation caused by power grid frequency disturbance, may trigger interlock shutdown, resulting in unplanned shutdown losses, and there is also a risk of missed alarms. When a single parameter does not exceed the limit, such as normal extraction pressure but abnormal steam flow, the system cannot identify compound fault modes, such as in the initial stage of valve jamming, resulting in the expansion of faults.

[0005] In view of the above technical defects, a solution is proposed now. Summary of the Invention

[0006] The purpose of the present invention is to provide a thermal protection interlock control system and method for a cylinder-cutting heat supply steam turbine to solve the technical defects proposed in the background technique.

[0007] The purpose of the present invention can be achieved through the following technical solutions: A thermal protection interlock control system for a cylinder-cutting heat supply steam turbine includes an equipment abnormal diagnosis and detection module, a false alarm elimination module, an abnormal classification module, a steam detection unit, a regional positioning module, and a remote supervision terminal;

[0008] The equipment abnormal diagnosis and detection module is used to retrieve the internal environment information of the target steam turbine and send the internal environment information to the false alarm elimination module for false alarm risk assessment and analysis to obtain a normal risk signal or a false alarm risk signal. When a normal risk signal is generated, the abnormal classification module is used to perform abnormal category classification and analysis on the collected initial heat turbine basic information to obtain an extraction fault signal or a non-extraction fault signal;

[0009] When a extraction steam fault signal is generated, the steam detection unit is used to perform feature recognition and analysis on the collected steam data to obtain a source fault signal or a steam valve fault signal. The area positioning module is used to perform abnormal positioning and calibration analysis on the collected feature data to obtain the spatial coordinates corresponding to the actual fault point.

[0010] Preferably, the false alarm elimination module analyzes as follows:

[0011] Collect the working period of the target steam turbine and set the working period of the target steam turbine as the time threshold. Continuously obtain the internal environment information of the target steam turbine within the time threshold. The internal environment information includes heating fluctuations, and perform discrimination processing on the internal environment information of the target steam turbine, and then obtain the heating temperature rise period, heating stable period, and over-temperature period of the steam turbine within the time threshold;

[0012] Taking time as the X-axis and the collected temperature data as the Y-axis, construct a coordinate system, mark the temperature data corresponding to the heating temperature rise period, heating stable period, and over-temperature period in the time threshold on the coordinate system, and draw the set threshold curve in the coordinate system;

[0013] Calculate the floating waveform deviation area between the change curve of the heating temperature rise period, the change curve of the heating stable period, and the change curve of the over-temperature period and their respective threshold curves respectively. The floating waveform deviation area in the time threshold is the heating deviation value.

[0014] Preferably, if the heating deviation value exceeds the set threshold, it is inferred that the current steam turbine is abnormal, then a conventional risk signal is generated, and the conventional risk signal is sent to the abnormal classification module.

[0015] Preferably, the abnormal classification module analyzes as follows:

[0016] Obtain the actual extraction steam pressure fluctuation value and steam flow value of the target steam turbine within the time threshold. Taking time as the X-axis and the extraction steam pressure fluctuation value and steam flow value data as the Y-axis respectively, mark the actual extraction steam pressure fluctuation value and steam flow value collected within the time threshold on the corresponding coordinate system respectively, connect the marked points to obtain the corresponding numerical curve, and draw the set threshold curve in the coordinate system;

[0017] Calculate the floating waveform deviation area between the extraction steam pressure fluctuation value curve and the steam flow value curve and their respective threshold curves respectively. The floating waveform deviation area in the time threshold is the steam deviation value.

[0018] Preferably, if the steam deviation value exceeds the set threshold, it is inferred that the steam supply of the current steam turbine is abnormal, then an extraction steam fault signal is generated. If the steam deviation value does not exceed the set threshold, a non-extraction steam fault signal is generated, and the non-extraction steam fault signal is sent to the remote supervision terminal.

[0019] Preferably, the analysis process of the steam detection unit is as follows:

[0020] Obtain the internal environment characteristic data of the boiler connected to the target steam turbine within the time threshold, that is, obtain the in-furnace temperature value and the in-furnace pressure value of the corresponding boiler. Mark the product value obtained after normalizing the in-furnace temperature value and the in-furnace pressure value as the furnace body risk assessment coefficient. Furthermore, obtain the furnace body risk assessment coefficient P within each sub-time period of the boiler. Establish a rectangular coordinate system with the sub-time as the X-axis and the furnace body risk assessment coefficient P as the Y-axis, and draw the furnace body risk assessment coefficient curve by the method of plotting points;

[0021] At the same time, draw the preset furnace body risk assessment coefficient threshold curve in this coordinate system, and obtain the risk angle range value and the risk difference, and compare and analyze the risk angle range value and the risk difference with the preset risk angle range value and the preset risk difference stored in it, and generate a source fault signal or a steam valve fault signal.

[0022] Preferably, if the risk angle range value < the preset risk angle range value and the risk difference < the preset risk difference, then generate a steam valve fault signal. If the risk angle range value ≥ the preset angle range value and the risk difference ≥ the preset risk difference, then generate a source fault signal.

[0023] Preferably, the analysis process of the area positioning module is as follows:

[0024] Based on the space coordinate system, obtain the three-dimensional simulation model of the target steam turbine and its connecting pipelines, and obtain the position coordinates (Xm, Ym, Zm) of each extraction regulating valve in the target steam turbine, where m represents the extraction regulating valve and m is a natural number greater than zero, and mark them as yellow areas in the three-dimensional simulation model;

[0025] And obtain the characteristic data of the target hot steam turbine extraction regulating valve within the time threshold, that is, obtain the average response time and the valve body opening value of each sub-time in the extraction regulating valve time threshold, and compare and analyze the average response time and the valve body opening value with the corresponding set threshold;

[0026] If the average response time is greater than the set response time threshold or the valve body opening value is less than the set valve body opening threshold, then mark the corresponding extraction regulating valve as a red area and send its position coordinates to the remote supervision terminal.

[0027] The present invention also proposes a thermal protection interlock control method for a cylinder-cutting heat supply steam turbine, which is realized by using the above-mentioned thermal protection interlock control system for a cylinder-cutting heat supply steam turbine.

[0028] The beneficial effects of the present invention are as follows:

[0029] (1) The present invention effectively distinguishes instantaneous interference from real faults by calculating the area of the floating waveform deviation region within the time threshold, avoiding false triggering caused by short-term fluctuations. That is, trend analysis is used to replace single-point judgment, and combined analysis of extraction steam pressure and steam flow is used to distinguish extraction steam faults from non-extraction steam faults, narrowing the scope of troubleshooting. Combined with the normalization processing of the temperature and pressure inside the boiler furnace, comparing the preset risk angle and difference, accurately judging whether the fault originates from the boiler or the steam valve, and based on the three-dimensional simulation model and coordinate marking of the extraction steam regulating valve, quickly locking the position of the faulty valve, reducing the manual inspection time;

[0030] (2) The present invention also collects and evaluates the characteristic data of the internal environment during the operation of the steam turbine, improves the pertinence of steam turbine control in combination with the influence of the collected data itself and the influence on heat supply, and can quickly judge and process according to the data collection results when an abnormality occurs, and can also quickly locate the abnormal position according to the evaluation results, fundamentally reducing the influence brought by the abnormality, improving the operation efficiency of the steam turbine, and at the same time minimizing the failure rate of the steam turbine. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The present invention will be further described below with reference to the accompanying drawings;

[0032] Figure 1 is the system flow block diagram of the present invention;

[0033] Figure 2 is the working reference diagram of each module unit of the present invention. SPECIFIC EMBODIMENTS

[0034] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0035] Embodiment 1: Please refer to Figure 1 - Figure 2 As shown, this embodiment is a thermal protection interlock control system for a cylinder-cutting heat supply steam turbine, including an equipment abnormality diagnosis and detection module, a false alarm elimination module, an abnormality classification module, a steam detection unit, a region positioning module, and a remote supervision terminal;

[0036] The equipment abnormality diagnosis and detection module is used to retrieve the internal environment information of the target steam turbine and send the internal environment information to the false alarm elimination module for false alarm risk assessment and analysis to obtain a conventional risk signal or a false alarm risk signal;

[0037] The analysis process of the false alarm elimination module is as follows:

[0038] Collect the working period of the target steam turbine and set the working period of the target steam turbine as the time threshold. Continuously obtain the internal environment information of the target steam turbine within the time threshold. The internal environment information includes heating fluctuations. It should be noted that the heating fluctuations are collected by multiple temperature sensors fixedly installed on the steam turbine, and the collection period is 5 minutes, that is, the heating temperature data is collected every 5 minutes.

[0039] And perform discriminant processing on the internal environment information of the target steam turbine, and then obtain the heating temperature rise period, heating stable period, and over-temperature period of the steam turbine within the time threshold;

[0040] Taking time as the X-axis and the collected temperature data as the Y-axis, construct a coordinate system, mark the temperature data corresponding to the heating temperature rise period, heating stable period, and over-temperature period in the time threshold on the coordinate system, and draw the set threshold curve in the coordinate system;

[0041] Calculate the area of the floating waveform deviation region between the change curve of the heating temperature rise period, the change curve of the heating stable period, and the change curve of the over-temperature period and their respective threshold curves respectively. The area of the floating waveform deviation region in the time threshold is the heating deviation value.

[0042] If the heating deviation value exceeds the set threshold, it is inferred that the current steam turbine is abnormal, then a conventional risk signal is generated, and the conventional risk signal is sent to the abnormal classification module.

[0043] When a conventional risk signal is generated, the abnormal classification module is used to perform abnormal category classification and analysis on the collected initial basic information of the steam turbine, and obtain a steam extraction fault signal or a non-steam extraction fault signal. By calculating the area of the floating waveform deviation region within the time threshold, it can effectively distinguish instantaneous interference from real faults, avoid false triggering caused by short-term fluctuations, that is, replace single-point judgment with trend analysis, and distinguish steam extraction faults from non-steam extraction faults through the joint analysis of steam extraction pressure and steam flow rate, narrowing the scope of investigation.

[0044] The analysis process of the abnormal classification module is as follows:

[0045] Obtain the actual steam extraction pressure fluctuation value and steam flow rate value of the target steam turbine within the time threshold. Taking time as the X-axis and the steam extraction pressure fluctuation value and steam flow rate value data as the Y-axis, mark the actual steam extraction pressure fluctuation value and steam flow rate value collected within the time threshold on the corresponding coordinate systems respectively, and connect the marked points to obtain the corresponding numerical curves, and draw the set threshold curve in the coordinate system;

[0046] It should be noted that the steam extraction pressure fluctuation value is collected by a pressure sensor fixedly installed in the steam turbine, and the steam flow rate value is collected by a gas flow meter inside the steam transmission pipeline.

[0047] Calculate the area of the floating waveform deviation region between the extraction steam pressure fluctuation value curve and the steam flow value curve and their respective threshold curves respectively. The area of the floating waveform deviation region in the time threshold is the steam deviation value.

[0048] If the steam deviation value exceeds the set threshold, it is inferred that there is an abnormality in the current steam supply of the steam turbine, and an extraction steam fault signal is generated. If the steam deviation value does not exceed the set threshold, a non-extraction steam fault signal is generated and sent to the remote supervision terminal.

[0049] When the remote supervision terminal receives the non-extraction steam fault signal, it indicates that the abnormality is not caused by steam at this time, that is, it is an abnormality of the steam turbine. Immediately mark the corresponding steam turbine and issue a corresponding warning to prompt the staff to repair the corresponding steam turbine.

[0050] Embodiment 2: Please refer to Figure 2 As shown, the present invention further includes a steam detection unit. That is, when an extraction steam fault signal is generated, the steam detection unit is used to perform feature recognition and analysis on the collected steam data to obtain a source fault signal or a steam valve fault signal, and in combination with the normalization processing of the temperature and pressure inside the boiler furnace, compare the preset risk angle with the difference value to accurately judge whether the fault originates from the boiler or the steam valve, effectively improving the efficiency of abnormal troubleshooting.

[0051] The analysis process of the steam detection unit is as follows:

[0052] Obtain the internal environment characteristic data of the boiler connected to the target steam turbine within the time threshold, that is, obtain the furnace temperature value and the furnace pressure value of the corresponding boiler. Mark the product value obtained after normalizing the furnace temperature value and the furnace pressure value as the furnace body risk assessment coefficient. Furthermore, obtain the furnace body risk assessment coefficient P of each sub-time period of the boiler. Establish a rectangular coordinate system with the sub-time as the X-axis and the furnace body risk assessment coefficient P as the Y-axis, and draw the furnace body risk assessment coefficient curve by the method of plotting points;

[0053] The furnace temperature value is collected by a temperature sensor fixedly installed inside the boiler, and the furnace pressure value is collected by a pressure sensor fixedly installed inside the boiler. After obtaining the furnace temperature value Tx and the furnace pressure value Nx, according to the formula P=(A1×Tx)+(A2×Nx), obtain the furnace body risk assessment coefficient P, where A1 and A2 are both preset proportionality coefficients and A1>A2>0.

[0054] At the same time, draw a preset furnace body risk assessment coefficient threshold curve in this coordinate system, and obtain the risk angle range value and the risk difference value, and compare and analyze the risk angle range value and the risk difference value with the preset risk angle range value and the preset risk difference value stored in it, and generate a source fault signal or a steam valve fault signal.

[0055] Specifically, if the risk angle range value < the preset risk angle range value and the risk difference < the preset risk difference, a steam valve fault signal is generated. At this time, it indicates that the steam valve in the pipeline is abnormal. If the risk angle range value ≥ the preset angle range value and the risk difference ≥ the preset risk difference, a source fault signal is generated. At this time, it indicates that the boiler is abnormal.

[0056] The area positioning module is used to perform abnormal positioning and calibration analysis on the collected characteristic data to obtain the spatial coordinates corresponding to the actual fault point, that is, based on the three-dimensional simulation model and coordinate marking of the extraction steam regulating valve, quickly lock the position of the fault valve, and reduce the manual inspection time.

[0057] The analysis process of the area positioning module is as follows:

[0058] Based on the spatial coordinate system, a three-dimensional simulation model of the target steam turbine and its connecting pipelines is obtained, and the position coordinates (Xm, Ym, Zm) of each extraction steam regulating valve in the target steam turbine are obtained, where m represents the extraction steam regulating valve, and m is a natural number greater than zero. For example, when m = 1, it represents the spatial coordinates (X1, Y1, Z1) of the first extraction steam regulating valve. When m = 2, it represents the spatial coordinates (X2, Y2, Z2) of the second extraction steam regulating valve, and so on, and all are marked as yellow areas in the three-dimensional simulation model;

[0059] And the characteristic data of the target thermal steam turbine extraction steam regulating valve within the time threshold is obtained, that is, the average response time and valve body opening value of each sub-time in the extraction steam regulating valve time threshold are obtained, and the average response time and valve body opening value are compared and analyzed with the corresponding set thresholds;

[0060] The response time therein is obtained through the timing module, that is, the interval time from when the extraction steam regulating valve receives the instruction to when the extraction steam regulating valve completes the instruction is timed and recorded. Within the time threshold, the average value of the response time of the extraction steam regulating valve is calculated to obtain the average response time;

[0061] The valve body opening degree therein is obtained by collecting through a distance sensor, that is, the linear displacement of the valve stem is converted into the opening degree of the valve body to obtain the valve body opening value.

[0062] If the average response time is greater than the set response time threshold or the valve body opening value is less than the set valve body opening threshold, the corresponding extraction steam regulating valve is marked as a red area, and its position coordinates are sent to the remote supervision terminal to quickly locate the position of the abnormal extraction steam regulating valve and achieve rapid troubleshooting and handling of the abnormality.

[0063] The thermal protection interlock control method of a cylinder-cutting heat supply steam turbine shown in the present invention is implemented relying on a thermal protection interlock control system of a cylinder-cutting heat supply steam turbine, which will not be elaborated here.

[0064] Combining Embodiment 1 and Embodiment 2, it can be seen that data during the use of the steam turbine is collected. By calculating the area of the floating waveform deviation region within the time threshold, instantaneous interference and real faults are effectively distinguished, avoiding false triggering caused by short-term fluctuations. That is, trend analysis is used to replace single-point judgment, and through the joint analysis of the extraction steam pressure and steam flow, extraction steam faults and non-extraction steam faults are distinguished, narrowing the scope of investigation. For extraction steam faults, through the normalization of the temperature and pressure inside the boiler furnace, comparing the preset risk angle and difference, accurately judging whether the fault originates from the boiler or the steam valve, and based on the three-dimensional simulation model and coordinate marking of the extraction steam regulating valve, quickly locking the position of the faulty valve, reducing the manual inspection time.

[0065] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not elaborate on all details and do not limit the invention to only the specific embodiments. Obviously, according to the content of this specification, many modifications and changes can be made. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of the present invention, so that those skilled in the relevant technical fields can understand and utilize the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A thermal protection interlock control system for a cylinder-cutoff heat supply steam turbine, characterized in that, It includes a device abnormal diagnosis and detection module, a false alarm elimination module, an abnormality classification module, a steam detection unit, a regional positioning module, and a remote supervision terminal; The device abnormal diagnosis and detection module is used to retrieve the internal environment information of the target steam turbine and send the internal environment information to the false alarm elimination module for false alarm risk assessment and analysis to obtain a normal risk signal or a false alarm risk signal. When a normal risk signal is generated, the abnormality classification module is used to perform abnormality category classification and analysis on the collected initial thermal turbine basic information to obtain a steam extraction fault signal or a non-steam extraction fault signal; When a steam extraction fault signal is generated, the steam detection unit is used to perform feature recognition and analysis on the collected steam data to obtain a source fault signal or a steam valve fault signal, and the regional positioning module is used to perform abnormal positioning and calibration analysis on the collected feature data to obtain the spatial coordinates corresponding to the actual fault point.

2. The thermal protection interlock control system of a cylinder-cutting heat supply steam turbine according to claim 1, wherein, The analysis process of the false alarm elimination module is as follows: Collect the working period of the target steam turbine and set the working period of the target steam turbine as the time threshold. Continuously obtain the internal environment information of the target steam turbine within the time threshold. The internal environment information includes heating fluctuations, and perform discrimination processing on the internal environment information of the target steam turbine, and then obtain the heating temperature rise period, heating stable period, and over-temperature period of the steam turbine within the time threshold; Take time as the X-axis and the collected temperature data as the Y-axis to construct a coordinate system, mark the temperature data corresponding to the heating temperature rise period, heating stable period, and over-temperature period in the time threshold on the coordinate system, and draw the set threshold curve in the coordinate system; Calculate the area of the floating waveform deviation region between the change curve of the heating temperature rise period, the change curve of the heating stable period, and the change curve of the over-temperature period and their respective threshold curves respectively. The area of the floating waveform deviation region in the time threshold is the heating deviation value.

3. A thermal protection interlock control system for a cylinder-cutting heat supply steam turbine according to claim 2, characterized in that, If the heating deviation value exceeds the set threshold, it is inferred that the current steam turbine is abnormal, a normal risk signal is generated, and the normal risk signal is sent to the abnormality classification module.

4. A thermal protection interlock control system for a cylinder-cutting heat supply steam turbine according to claim 1, characterized in that, The analysis process of the abnormality classification module is as follows: Obtain the actual steam extraction pressure fluctuation value and steam flow value of the target steam turbine within the time threshold. Take time as the X-axis and the steam extraction pressure fluctuation value and steam flow value data as the Y-axis respectively. Mark the actually collected steam extraction pressure fluctuation value and steam flow value within the time threshold on the corresponding coordinate systems respectively, and connect the marked points to obtain the corresponding numerical curves, and draw the set threshold curve in the coordinate system; Calculate the area of the floating waveform deviation region between the steam extraction pressure fluctuation value curve and the steam flow value curve and their respective threshold curves respectively. The area of the floating waveform deviation region in the time threshold is the steam deviation value.

5. A thermal protection interlock control system for a cylinder-cutting heat supply steam turbine according to claim 4, characterized in that, If the steam deviation value exceeds the set threshold, it is inferred that the steam supply of the current steam turbine is abnormal, a steam extraction fault signal is generated. If the steam deviation value does not exceed the set threshold, a non-steam extraction fault signal is generated, and the non-steam extraction fault signal is sent to the remote supervision terminal.

6. The thermal protection interlock control system of a cylinder-cutting heat supply steam turbine according to claim 1, wherein, The analysis process of the steam detection unit is as follows: Obtain the internal environment characteristic data of the boiler connected to the target steam turbine within the time threshold, that is, obtain the in-furnace temperature value and the in-furnace pressure value of the corresponding boiler. Mark the product value obtained after normalizing the in-furnace temperature value and the in-furnace pressure value as the furnace body risk assessment coefficient. Furthermore, obtain the furnace body risk assessment coefficient P for each sub-time period of the boiler. Establish a rectangular coordinate system with the sub-time as the X-axis and the furnace body risk assessment coefficient P as the Y-axis, and draw the furnace body risk assessment coefficient curve by the method of plotting points; At the same time, draw the preset furnace body risk assessment coefficient threshold curve in this coordinate system, and obtain the risk angle range value and the risk difference, and compare and analyze the risk angle range value and the risk difference with the preset risk angle range value and the preset risk difference stored in it, and generate a source fault signal or a steam valve fault signal.

7. The thermal protection interlock control system of a cylinder-cutting heat supply steam turbine according to claim 6, characterized in that, If the risk angle range value < the preset risk angle range value and the risk difference < the preset risk difference, then generate a steam valve fault signal. If the risk angle range value ≥ the preset angle range value and the risk difference ≥ the preset risk difference, then generate a source fault signal.

8. A thermal protection interlock control system for a cylinder-cutting heat supply steam turbine according to claim 1, characterized in that, The analysis process of the said area positioning module is as follows: Based on the space coordinate system, obtain the three-dimensional simulation model of the target steam turbine and its connected pipelines, and obtain the position coordinates (Xm, Ym, Zm) of each extraction regulating valve in the target steam turbine, where m represents the extraction regulating valve, and m is a natural number greater than zero, and mark them as yellow areas in the three-dimensional simulation model; And obtain the characteristic data of the target thermal steam turbine extraction regulating valve within the time threshold, that is, obtain the average response time and the valve body opening value of each sub-time in the extraction regulating valve time threshold, and compare and analyze the average response time and the valve body opening value with the corresponding set threshold; If the average response time is greater than the set response time threshold or the valve body opening value is less than the set valve body opening threshold, then mark the corresponding extraction regulating valve as a red area and send its position coordinates to the remote supervision terminal.

9. A thermal protection interlock control method for a cylinder-cutting heat supply steam turbine, characterized in that, It is realized by adopting a cylinder-cutting heating steam turbine thermal protection interlock control system according to any one of claims 1-8.

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