Heater drainage control method and system with fault diagnosis function

Abstract

The invention relates to the technical field of heater drainage control, and discloses a heater drainage control system with fault diagnosis, which comprises an electric regulating valve group, a water level sensor module, a DCS (Distributed Control System) control module and a safety interlocking protection unit, the electric control valve group comprises a position feedback module and an execution mechanism, the DCS control module is integrated with a fault diagnosis sub-module, and the invention further provides a heater drainage control method with the fault diagnosis function, and the method comprises the following steps that S1, signal collection and preprocessing are conducted, and water level signals are collected in real time through a sensor; s2, deviation analysis: the DCS control module compares the deviation between a set value and an actual value, and adopts a self-adaptive threshold to judge a control demand; manual operation is transformed into remote automatic control, an automatic control strategy is optimized, the water level of the high-pressure heater is adjusted when the load of the unit changes frequently, manual operation is reduced, and safety and reliability of operation of the unit are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of heater drainage control, in particular to a heater drainage control method and system with fault diagnosis. BACKGROUND

[0002] The water level of the high-pressure heater of the thermal power company is manually adjusted and controlled by the drain and the front intercept door.

[0003] This way has many drawbacks: first, the operation personnel frequently manually adjust the high-pressure heater water level on site, which has a major safety hazard of personal injury caused by high-temperature and high-pressure drainage pipeline leakage;

[0004] Second, under frequent load changes or abnormal working conditions, the high-pressure heater water level is manually adjusted, the response speed is slow, and it is not possible to accurately adjust according to the change of the high-pressure heater water level in time, which leads to large fluctuations in the high-pressure heater water level, which may cause the water level to be too high or too low, affecting the safe and economic operation of the high-pressure heater system;

[0005] Third, manual operation on site requires frequent manual back and forth to the site, which not only increases the labor intensity of the operation personnel, but also reduces the work efficiency;

[0006] In view of this, the on-site manual operation is changed to remote automatic control, and the automatic control strategy is optimized to realize automatic and accurate adjustment of the high-pressure heater water level when the unit load frequently changes, which is of great significance for preventing personal injury, reducing manual operation, reducing maintenance costs, and improving the safe and economic operation level of the steam turbine regenerative system. It is an inevitable choice to adapt to the development trend of modern power plant automation and intelligentization, therefore, it is very necessary to propose a heater drainage control method and system with fault diagnosis. SUMMARY

[0007] (I) Technical problems solved

[0008] In view of the deficiencies of the prior art, the present application provides a heater drainage control method and system with fault diagnosis, which mainly solves the problems of frequent manual adjustment of the high-pressure heater water level by the operation personnel on site, which has a major safety hazard of personal injury caused by high-temperature and high-pressure drainage pipeline leakage, manual adjustment of the high-pressure heater water level under frequent load changes or abnormal working conditions, slow response speed, and inability to accurately adjust according to the change of the high-pressure heater water level in time, and manual operation on site requiring frequent manual back and forth to the site, which not only increases the labor intensity of the operation personnel, but also reduces the work efficiency.

[0009] (II) Technical solutions

[0010] To achieve the above-mentioned purpose, the present application provides the following technical solutions:

[0011] A heater drainage control system with fault diagnosis, comprising the following components:

[0012] The electric regulating valve group, the water level sensor module, the DCS control module and the safety interlock protection unit;The electric regulating valve group includes a position feedback module and an actuator, the DCS control module integrates a fault diagnosis submodule, and the fault diagnosis submodule includes a valve state diagnosis module, a sensor health assessment module and a communication link monitoring module;

[0013] When the sensor network detects water level abnormalities, the DCS starts a diagnosis algorithm, triggers a safety interlock if the valve is determined to be faulty, and pushes an alarm and processing suggestions to an external operation and maintenance system.

[0014] Further, the position feedback module uses a high-precision Hall effect sensor with a resolution of ≤0.1% and a response time of ≤2s;The actuator uses a straight stroke electric actuator equipped with a variable frequency speed regulation function, supporting slow opening and slow closing operation.

[0015] On the basis of the foregoing scheme, the water level sensor module uses a three-redundant capacitive liquid level meter to monitor the water level of each high-pressure heater in real time, and transmits data through a HART protocol.

[0016] As a further scheme of the application, the DCS control module uses a PID regulation algorithm;

[0017] The valve state diagnosis module compares the actual feedback with the theoretical opening curve based on the action curve analysis and comparison theory, and determines that the valve is abnormal when the slope deviation is >15% for 10s;The sensor health assessment module uses a two-out-of-three voting logic to eliminate single-point faults, and switches to a historical data compensation mode when double sensors fail;The communication link monitoring module detects link interruption through a heartbeat packet and automatically switches the redundant channel.

[0018] In particular, the safety interlock protection unit builds multiple protective barriers, including hardware-level, software-level and mechanical-level redundancy;The hardware-level redundancy is composed of digital logic circuits realized by FPGA;The software level uses a dual-machine hot standby architecture, and the master and slave controllers synchronize data in real time;The mechanical-level redundancy uses a hydraulic actuator, which can still maintain mechanical linkage function when the electronic system fails completely;The three-level protection realizes priority sorting through hard-wired signals, and when a dangerous working condition is detected, the hardware level immediately cuts off the power, the software level locks the control command, and the mechanical level forces the valve to the safe position

[0019] The application also provides a heater drain control method with fault diagnosis, including the following steps: S1: signal acquisition and preprocessing, acquiring water level signals in real time through sensors;

[0020] S2: deviation analysis, the DCS control module compares the deviation between the set value and the actual value, and uses an adaptive threshold to judge the control requirement;

[0021] S3: Intelligent adjustment, generate adjustment instructions using fuzzy PID algorithm;

[0022] S4: Execution control, electric regulating valve group executes opening degree adjustment;

[0023] S5: Safety protection, three-level protection interlocking protection triggered by abnormal working conditions.

[0024] Further, the sampling frequency in S1 is greater than or equal to 10 Hz, and high-precision sensor drift detection is realized by using a two-out-of-three voting logic combined with a Kalman filter algorithm: when the deviation of the output values of any two of the three sensors exceeds a preset threshold, the voting mechanism is triggered to select the data, and at the same time, the Kalman filter is used to dynamically optimize the sensor signal, real-time compensate for measurement errors caused by factors such as temperature drift and aging, and the compensation range is up to ±5%, and the iteration calculation is performed every 100ms, when the sensor continuously detects abnormality, that is, more than 3 sampling periods, the diagnostic process is automatically started and the alarm signal is triggered.

[0025] On the basis of the foregoing scheme, when the valve response timeout is greater than 3s in S2, the lubrication instruction is automatically executed, the lubricant amount is 0.5ml / time, the historical data compensation algorithm based on LSTM is used when the sensor data is abnormal, and the control loop is switched to the preset safety opening degree when the control loop fails.

[0026] As a further scheme of the present application, the S4 electric regulating valve group actuator adopts S-shaped speed curve adjustment, the opening and closing time is adjustable in the range of 5-60s, the water hammer effect is prevented, the output torque is automatically adjusted according to the valve friction coefficient, and the self-cleaning pulse is triggered when stuck.

[0027] Further, the three-level protection interlocking protection in S5 includes three levels of early warning, degradation control and emergency shutdown, when abnormal working conditions are detected, the early warning protection is first triggered, the on-site warning is performed through the sound and light alarm device, and the fault data is recorded to the historical database in real time; if the abnormality persists and is not eliminated, the degradation control is automatically started, and the standby control loop is seamlessly switched to maintain basic operation; when serious failure occurs, the system performs emergency shutdown operation through hardwiring to realize safe isolation of the equipment.

[0028] (Three) beneficial effects

[0029] Compared with the prior art, the present application provides a heater drain control method and system with fault diagnosis, which has the following beneficial effects:

[0030] 1、The present application can improve the high water level adjustment accuracy, the control room real-time monitoring water level, through the DCS control module automatic adjustment electric regulating valve group opening, water level fluctuation range is narrowed greatly, effectively prevent personal injury risk, high water turbine water hammer, equipment scouring thinning and superheater over temperature and other problems, improve the operation safety and reliability.

[0031] 2、The present application response speed is accelerated, electric regulating valve response time is reduced to seconds, compared with the delay of several minutes of manual operation, can quickly respond to water level change, enhance the system anti-interference ability.

[0032] 3、The present application operation economy is improved significantly, precise regulation reduces steam heat loss, improves the economy of regenerative system, reduces the production of power consumption.

[0033] 4、The present application optimizes operation management, the operator reduces the labor intensity through the operation and maintenance system remote operation, reduces the field operation risk, at the same time, lays a solid foundation for subsequent intelligent operation and optimization control strategy implementation. BRIEF DESCRIPTION OF DRAWINGS

[0034] Fig. 1 The structure diagram of the heater drain control system with fault diagnosis is provided for the present application;

[0035] Fig. 2 The flow structure diagram of the heater drain control method with fault diagnosis is provided for the present application. DETAILED DESCRIPTION

[0036] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0037] Embodiment 1

[0038] Reference Figs. 1-2 A heater drain control system with fault diagnosis, comprising the following components: an electric regulating valve group, a water level sensor module, a DCS control module and a safety interlock protection unit;The electric regulating valve group comprises a position feedback module and an actuator, the DCS control module integrates a fault diagnosis sub-module, the fault diagnosis sub-module comprises a valve state diagnosis module, a sensor health assessment module and a communication link monitoring module;When the sensor network detects water level anomaly, the DCS starts the diagnosis algorithm, if the valve is judged to be faulty, the safety interlock is triggered, and the alarm and treatment suggestion are pushed to the external operation and maintenance system.

[0039] It should be noted that the position feedback module adopts a high-precision Hall effect sensor, the resolution is ≤0.1%, and the response time is ≤2s; the actuator adopts a straight stroke electric actuator with variable frequency speed regulation function, supports slow opening and slow closing operation, can flexibly control the valve opening, at the same time avoids the adverse effects caused by rapid opening and rapid closing, ensures the stable operation of the system; the water level sensor module adopts a three-redundancy capacitive liquid level meter, real-time monitors the water level of each high pressure heater, transmits data through HART protocol, ensures the stability and accuracy of data transmission; the DCS control module adopts a PID regulation algorithm; the valve state diagnosis module compares the actual feedback with the theoretical opening curve based on the action curve analysis, when the slope deviation is >15% for 10s, it is determined to be abnormal; the sensor health evaluation module adopts a two-out-of-three voting logic to eliminate single point failure, when double sensors fail, it switches to a historical data compensation mode, effectively improves the reliability of sensor data, and can ensure the stable operation of the system when the sensor fails; the communication link monitoring module detects link interruption through heartbeat packet, automatically switches the redundant channel, and avoids system out of control caused by communication failure.

[0040] The safety interlock protection unit builds multiple protective barriers, including hardware level, software level and mechanical level redundancy; the hardware level redundancy is composed of digital logic circuits realized by FPGA; the software level adopts a dual machine hot standby architecture, the master and slave controllers synchronize data in real time; the mechanical level redundancy adopts a hydraulic actuator, which can still maintain the mechanical linkage function when the electronic system completely fails; the three-level protection realizes priority sorting through hard-wired signals, when a dangerous working condition is detected, the hardware level immediately cuts off the power supply, the software level locks the control instruction, and the mechanical level forces the valve to the safe position, which comprehensively ensures the safety of the system and prevents dangerous accidents; the application can improve the regulation accuracy of the high pressure heater water level, the control room can real-time monitor the water level, the opening of the electric regulating valve group is automatically adjusted through the DCS control module, the water level fluctuation range is greatly narrowed, and problems such as personal injury risk, water hammer of the steam turbine caused by the full water of the high pressure heater, equipment erosion thinning and superheater overtemperature are effectively prevented, and the safety and reliability of the unit operation are improved.

[0041] The application further provides a heater drainage control method with fault diagnosis, which comprises the following steps:

[0042] S1: signal acquisition and pretreatment, real-time acquisition of water level signals through sensors, sampling frequency ≥10Hz, three-out-of-two voting logic combined with Kalman filter algorithm is adopted to realize high-precision sensor drift detection: when the deviation of output values of any two of the three sensors exceeds the preset threshold, the voting mechanism is triggered for data screening, at the same time, the Kalman filter is used to dynamically optimize the sensor signal, and real-time compensation is performed on the measurement error caused by factors such as temperature drift and aging, the compensation range is ±5%, and the iteration calculation is performed once every 100ms, when the sensor continuously abnormals is detected, i.e. more than 3 sampling periods, the diagnosis process is automatically started and the alarm signal is triggered;

[0043] S2: deviation analysis, DCS control module compares the set value with the actual value deviation, adaptive threshold is used to judge the control demand, the control demand is flexibly judged according to the actual situation, when it is detected that the valve response timeout is greater than 3s, the lubrication instruction is automatically executed, the lubricant amount is 0.5ml / time, the sensor data is abnormal, the historical data compensation algorithm based on LSTM is started, when the control loop fails, it is switched to the preset safety opening degree, the response speed of the application is accelerated, the response time of the electric regulating valve is reduced to seconds, compared with the delay of several minutes of manual operation, the water level change can be quickly responded, and the anti-interference ability of the system is enhanced;

[0044] S3: intelligent adjustment, a fuzzy PID algorithm is used to generate adjustment instructions;

[0045] S4: execution control, the electric regulating valve group executes opening degree adjustment, the electric regulating valve group actuator adopts S-shaped speed curve adjustment, the opening and closing time is adjustable in the range of 5-60s, the water hammer effect is prevented, the output torque is automatically adjusted according to the valve friction coefficient, and the self-cleaning pulse is triggered when stuck, the operation economy in the application is significantly improved, the steam heat loss is reduced by precise adjustment, the economy of the heat recovery system is improved, and the production power supply coal consumption is reduced;

[0046] S5: safety protection, three-level protection interlocking protection is triggered in abnormal working conditions, the three-level protection interlocking protection includes three levels of early warning, degradation control and emergency shutdown, when abnormal working conditions are detected, the early warning protection is first triggered, the on-site warning is carried out through the sound and light alarm device, and the fault data is recorded in real time to the historical database; if the abnormality is not eliminated, the degradation control is automatically started, and the standby control loop is seamlessly switched to maintain basic operation; when serious failure occurs, the system performs emergency shutdown operation through hard-wired mode, realizes safe isolation of equipment, through the hierarchical protection mechanism, the abnormality can be found in time, and different measures can be taken according to the fault severity, so that the safe and stable operation of the system is ensured, in the application, the operation management is optimized, the labor intensity of workers is reduced through remote operation of the operation and maintenance system, and the risk of on-site operation is reduced.

[0047] Embodiment 2

[0048] Referring to Figs. 1-2 A heater drainage control system with fault diagnosis, comprising the following components: an electric regulating valve group, a water level sensor module, a DCS control module and a safety interlocking protection unit; the electric regulating valve group comprises a position feedback module and an actuator, the DCS control module integrates a fault diagnosis sub-module, and the fault diagnosis sub-module comprises a valve state diagnosis module, a sensor health assessment module and a communication link monitoring module;

[0049] When the sensor network detects water level abnormalities, the DCS starts the diagnosis algorithm, if it is determined that the valve fails, the safety interlocking is triggered, and an alarm and treatment suggestion are pushed to the external operation and maintenance system.

[0050] The position feedback module adopts a high-precision Hall effect sensor, the resolution is ≤0.1%, and the response time is ≤2s; the actuator adopts a straight stroke electric actuator with a variable frequency speed regulation function, supports slow opening and slow closing operation, the water level sensor module adopts a three-redundancy capacitive liquid level meter, real-time monitors the water level of each high pressure heater, transmits data through a HART protocol, the DCS control module adopts a PID regulation algorithm, the valve state diagnosis module compares the theoretical opening curve with the actual feedback based on the action curve analysis, when the slope deviation is >15% for 10s, the abnormality is determined, the sensor health evaluation module adopts a two-out-of-three voting logic to eliminate single point failure, when double sensors fail, switches to a historical data compensation mode; the communication link monitoring module detects link interruption through a heartbeat packet, and the redundant channel automatically switches; the safety interlock protection unit builds multiple protective barriers, including hardware level, software level and mechanical level redundancy; the hardware level redundancy is composed of a digital logic circuit realized by FPGA; the software level adopts a dual machine hot standby architecture, the master and slave controllers synchronize data in real time; the mechanical level redundancy adopts a hydraulic actuator, which can still maintain the mechanical linkage function when the electronic system completely fails; the three-level protection realizes priority sorting through a hard-wired signal, when a dangerous working condition is detected, the hardware level immediately cuts off the power supply, the software level locks the control instruction, and the mechanical level forces the valve to the safe position.

[0051] The application further provides a heater drainage control method with fault diagnosis.

[0052] S1: signal acquisition and pretreatment, acquiring a water level signal in real time through a sensor;

[0053] S2: deviation analysis, a DCS control module compares the deviation between a set value and an actual value, and judges control demand by using an adaptive threshold value;

[0054] S3: intelligent regulation, generating a regulation instruction by using a fuzzy PID algorithm;

[0055] S4: execution control, executing opening degree regulation by an electric regulating valve group;

[0056] S5: safety protection, triggering three-level protection interlock protection under an abnormal working condition.

[0057] It is required that the sampling frequency in S1 is ≥10Hz, a two-out-of-three voting logic is combined with a Kalman filter algorithm to realize high-precision sensor drift detection: when the deviation of output values of any two of the three sensors exceeds a preset threshold value, the voting mechanism is triggered to select data, at the same time, the Kalman filter is used to dynamically optimize the sensor signal, real-time compensates the measurement error caused by factors such as temperature drift and aging, the compensation range reaches ±5%, and the iteration calculation is executed once every 100ms, when it is detected that the sensor is continuously abnormal, i.e., more than 3 sampling periods, the diagnosis process is automatically started and an alarm signal is triggered.

[0058] Especially, in S2, when the valve response timeout greater than 3s is detected, the lubrication instruction is automatically executed, the lubricant amount is 0.5ml / time, the sensor data is abnormal, the history data compensation algorithm based on LSTM is enabled, and the control loop fault is switched to the preset safety opening degree; in S4, the electric regulating valve group actuator adopts an S-shaped speed curve regulation, the opening and closing time is adjustable in the range of 5-60s, the water hammer effect is prevented, the output torque is automatically adjusted according to the valve friction coefficient, and the self-cleaning pulse is triggered when stuck; the response speed of the application is accelerated, the electric regulating valve response time is reduced to seconds, compared with the delay of several minutes of manual operation, the water level change can be quickly responded, and the system anti-interference ability is enhanced; in S5, the three-level protection interlocking protection includes three levels of early warning, degradation control and emergency shutdown, when abnormal working conditions are detected, the early warning protection is triggered first, the on-site warning is carried out through the sound and light alarm device, and the fault data is recorded to the history database in real time; if the abnormality continues and is not eliminated, the degradation control is automatically started, and the standby control loop is seamlessly switched to maintain the basic operation; when a serious fault occurs, the system performs the emergency shutdown operation through the hardwiring mode, realizes the safe isolation of the equipment, the water level regulation accuracy of the high-pressure heater is improved, the water level of the centralized control room is monitored in real time, the opening degree of the electric regulating valve group is automatically adjusted through the DCS control module, the water level fluctuation range is greatly narrowed, the problems such as personal injury risk, water hammer of the steam turbine caused by the high-pressure heater full water, equipment erosion thinning and superheater overtemperature are effectively prevented, and the operation safety and reliability of the unit are improved.

[0059] In the description in the present document, it should be noted that the relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or sequence between the entities or operations. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or equipment.

[0060] Although the embodiments of the present application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A heater drain control system with fault diagnosis, comprising the following components: an electric regulating valve group, a water level sensor module, a DCS control module and a safety interlock protection unit; the electric regulating valve group comprises a position feedback module and an actuator, the DCS control module integrates a fault diagnosis submodule, the fault diagnosis submodule comprises a valve state diagnosis module, a sensor health assessment module and a communication link monitoring module; when the sensor network detects water level abnormalities, the DCS starts the diagnosis algorithm, if it is determined that the valve is faulty, the safety interlock is triggered, and an alarm and treatment suggestion are pushed to the external operation and maintenance system.

2. The heater drain control system with fault diagnosis according to claim 1, wherein, The position feedback module uses a high-precision Hall effect sensor with a resolution of ≤0.1% and a response time of ≤2s; the actuator uses a straight stroke electric actuator with variable frequency speed regulation function, supporting slow opening and slow closing operation.

3. The heater drain control system with fault diagnosis according to claim 1, wherein, The water level sensor module uses a triple-redundant capacitive liquid level meter to monitor the water level of each high-pressure heater in real time and transmit data through HART protocol.

4. The heater drain control system with fault diagnosis according to claim 1, wherein, The DCS control module uses a PID regulation algorithm; The valve state diagnosis module compares the actual feedback with the theoretical opening curve based on the action curve analysis and comparison theory, and determines the abnormality when the slope deviation is >15% for 10s; The sensor health assessment module uses a two-out-of-three voting logic to eliminate single-point faults, and switches to a historical data compensation mode when double sensors fail; The communication link monitoring module detects link interruption through heartbeat packets and automatically switches the redundant channels.

5. The heater drain control system with fault diagnosis according to claim 1, wherein, The safety interlock protection unit builds multiple protective barriers, including hardware, software and mechanical level redundancy; the hardware level redundancy is composed of digital logic circuits realized by FPGA; the software level uses a dual-machine hot standby architecture, and the master and slave controllers synchronize data in real time; the mechanical level redundancy uses a hydraulic actuator that can still maintain mechanical linkage function when the electronic system fails completely; The three-level protection realizes priority sorting through hard-wired signals, and when a dangerous working condition is detected, the hardware level immediately cuts off the power, the software level locks the control command, and the mechanical level forces the valve to the safe position.

6. A heater drain control method with failure diagnosis, characterized by, The following steps are included: S1: signal acquisition and preprocessing, real-time acquisition of water level signals through sensors; S2: deviation analysis, the DCS control module compares the deviation between the set value and the actual value, and uses an adaptive threshold to judge the control demand; S3: intelligent regulation, a fuzzy PID algorithm is used to generate regulation instructions; S4: execution control, the electric regulating valve group executes opening degree regulation; S5: safety protection, abnormal working conditions trigger three-level protection interlocking protection.

7. The method of claim 6, wherein the method further comprises: The sampling frequency in S1 is ≥10Hz, and a two-out-of-three voting logic combined with Kalman filter algorithm is used to realize high-precision sensor drift detection: when the deviation of output values of any two of the three sensors exceeds the preset threshold, the voting mechanism is triggered for data selection, and at the same time, the Kalman filter is used to dynamically optimize the sensor signal, real-time compensate the measurement error caused by factors such as temperature drift and aging, the compensation range is up to ±5%, and the iteration calculation is performed every 100ms, when it is detected that the sensor is continuously abnormal, i.e. more than 3 sampling periods, the diagnosis process is automatically started and the alarm signal is triggered.

8. The method of claim 6, wherein the method further comprises: The S2 automatically executes the lubrication instruction when the valve response timeout is greater than 3s, the lubricant amount is 0.5ml / time, the sensor data is abnormal, the LSTM-based historical data compensation algorithm is enabled, and the control loop fails to switch to the preset safety opening degree.

9. The method of claim 6, wherein the method further comprises: In the S4, the electric regulating valve group actuator adopts an S-shaped speed curve regulation, the opening and closing time is adjustable in the range of 5-60s, the output torque is automatically adjusted according to the valve friction coefficient, and the self-cleaning pulse is triggered when stuck.

10. The method of claim 6, wherein the method further comprises: In the S5, the three-level protection interlocking protection includes three levels of early warning, degradation control and emergency shutdown. When an abnormal working condition is detected, the early warning protection is first triggered, the on-site warning is performed through the sound and light alarm device, and the fault data is recorded to the historical database in real time. If the abnormality persists and is not eliminated, the degradation control is automatically started to seamlessly switch to the standby control loop to maintain basic operation. When a serious fault occurs, the system performs emergency shutdown operation through hardwiring to realize safe isolation of the equipment.

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