Intelligent monitoring method and system for test solenoid valve group of steam turbine security system

Abstract

The invention discloses a steam turbine security system test solenoid valve group intelligent monitoring method and system, and belongs to the technical field of steam turbine security protection. In order to solve the problems that an existing steam turbine security system test solenoid valve group is incomplete in fault diagnosis, depends on artificial experience and lacks real-time state monitoring and risk grading, the method comprises the steps that sensors are arranged on all loops of the test solenoid valve group, and data of at least one physical quantity including pressure, temperature and wind speed are collected in real time; receiving a pressure switch action signal and an electromagnetic valve action signal from a steam turbine emergency trip system (ETS); based on a preset fault judgment logic table, performing logic combination judgment on the acquired data and the received signal, identifying a fault type and determining a corresponding risk level; and sending diagnosis information containing the fault type and the risk level to a DCS (Distributed Control System), and triggering a corresponding disposal operation according to the risk level. The method is used for safe operation of the steam turbine generator unit.

Description

Technical Field

[0001] This invention relates to an intelligent monitoring method and system for test solenoid valve groups in a steam turbine safety system, belonging to the field of steam turbine safety protection technology. Background Technology

[0002] The turbine safety system is a critical system for ensuring the safe operation of turbine generator sets. Its test solenoid valve assembly is mainly used for online testing of the operational performance of thermal components such as safety transmitters and pressure switches to ensure reliable operation of each safety measuring point. Currently, common EH system test solenoid valve assemblies typically operate in an open-loop mode. This means that manual operation of the test solenoid valves only determines whether the thermal components at the measuring points have activated, but cannot provide a comprehensive and accurate fault diagnosis of the entire solenoid valve assembly's operational status.

[0003] The existing technology has the following main problems:

[0004] 1. Incomplete fault diagnosis: The existing system can only determine whether the thermal element itself is operating, but cannot identify potential faults such as jamming, leakage, or switch misalignment inside the solenoid valve assembly;

[0005] 2. Diagnostic results rely on human experience: When the system reports that the test is unsuccessful, the operators cannot accurately determine the cause of the fault and need to rely on the maintenance personnel to conduct on-site troubleshooting. The accuracy of the diagnosis is affected by human factors.

[0006] 3. Lack of real-time status monitoring: Traditional methods cannot continuously monitor and comprehensively analyze key parameters such as pressure, temperature, and flow rate of solenoid valve groups, making it difficult to detect potential faults in a timely manner;

[0007] 4. Lack of risk level assessment: Existing technology does not classify and assess faults, making it impossible to provide operators with differentiated handling suggestions, which affects fault response efficiency and system safety.

[0008] Therefore, there is an urgent need for a monitoring method for the test solenoid valve group of the steam turbine safety system that can perform real-time monitoring, intelligent diagnosis, and graded early warning, so as to improve the reliability and safety of the system. Summary of the Invention

[0009] The purpose of this invention is to address the problems of incomplete fault diagnosis, reliance on manual experience, and lack of real-time status monitoring and risk classification in existing steam turbine safety system test solenoid valve groups. This invention provides an intelligent monitoring method and system for steam turbine safety system test solenoid valve groups.

[0010] The present invention discloses an intelligent monitoring method for a test solenoid valve group in a steam turbine safety system, which includes the following steps:

[0011] Data acquisition steps: Sensors are arranged on each circuit of the test solenoid valve assembly to collect data on at least one physical quantity, including pressure, temperature and wind speed, in real time;

[0012] Signal receiving steps: Receive pressure switch action signals and solenoid valve action signals from the turbine emergency shutdown system (ETS);

[0013] Fault diagnosis steps: Based on a preset fault judgment logic table, the data collected in step S1 and the signal received in step S2 are logically combined and judged to identify the fault type and determine the corresponding risk level.

[0014] Information output and handling steps: The diagnostic information containing the fault type and risk level is sent to the DCS distributed control system, and the corresponding handling operation is triggered according to the risk level.

[0015] Preferably, in the data acquisition step, the test solenoid valve group includes an EH low oil pressure protection solenoid valve group, a lubricating oil low pressure protection solenoid valve group, and a condenser vacuum low protection solenoid valve group.

[0016] For the EH low oil pressure and low lubricating oil pressure protection solenoid valve group, collect its circuit pressure and temperature data;

[0017] For the condenser vacuum low protection solenoid valve group, its circuit pressure and outlet wind speed data were collected.

[0018] Preferably, in the fault diagnosis step, the fault judgment logic table includes: an independent fault judgment logic table for the EH oil pressure low test solenoid valve group, a fault judgment logic table for the lubricating oil pressure low test solenoid valve group, and a fault judgment logic table for the condenser vacuum low test solenoid valve group.

[0019] Each logic table, based on the corresponding pressure alarm threshold, temperature or wind speed threshold, combined with the solenoid valve operation status and pressure switch operation status, forms multi-dimensional judgment conditions to diagnose fault types including solenoid valve jamming, pressure switch jamming or offset, and channel leakage or blockage.

[0020] Preferably, in the information output and processing steps, the risk level is classified as follows:

[0021] Safety, Level 0;

[0022] Common fault, Level 1;

[0023] Severe fault, Level 2;

[0024] Critical fault, Level 3;

[0025] The risk level triggers corresponding actions, including not handling, recording, prompting, and alarming.

[0026] The present invention discloses an intelligent monitoring system for a test solenoid valve group of a steam turbine safety system, comprising:

[0027] The data acquisition module is configured on each circuit of the test solenoid valve group to collect data on at least one physical quantity, including pressure, temperature and wind speed, in real time.

[0028] The signal interface module communicates with the turbine emergency shutdown system (ETS) to receive pressure switch action signals and solenoid valve action signals.

[0029] The intelligent diagnostic module is connected to the data acquisition module and the signal interface module. It stores a preset fault judgment logic table, which is used to perform logical analysis on the received data and signals and output diagnostic results including fault type and risk level.

[0030] The control output module, connected to the intelligent diagnostic module, is used to send the diagnostic results to the DCS distributed control system and execute corresponding control commands based on the risk level.

[0031] Preferably, the data acquisition module includes a pressure sensor and a temperature sensor arranged in the EH low oil pressure and lubricating oil low pressure protection solenoid valve group circuit, and a pressure sensor and a wind speed sensor arranged in the condenser low vacuum protection solenoid valve group circuit.

[0032] Preferably, the intelligent diagnostic module includes:

[0033] The data processing unit is used to perform fuzzification and discretization processing on the collected analog data;

[0034] The logic judgment unit is used to call the fault judgment logic table corresponding to different solenoid valve group types and perform combined logic operations on the processed data and digital action signals.

[0035] Preferably, the system further includes an intelligent front-end device, which integrates the functions of the data acquisition module and at least part of the intelligent diagnostic module, and is installed locally on the test solenoid valve assembly.

[0036] Preferably, the intelligent diagnostic module supports fault judgment based on three-out-of-two logic and is compatible with four-out-of-two or two-out-of-one AND logic structures.

[0037] Preferably, the system further includes a data expansion interface for accessing the operating status parameters of other equipment in the steam turbine EH system, so that the intelligent diagnostic module can perform fusion analysis and comprehensive status assessment.

[0038] Advantages of this invention: A method and system for intelligent monitoring of electromagnetic valve groups in a steam turbine safety system aims to overcome the shortcomings of existing technologies, such as one-sided fault diagnosis, reliance on manual labor, and lack of early warning. Through multi-source data fusion and intelligent logic judgment, it achieves real-time, comprehensive, and hierarchical monitoring of the valve group's operating status. Compared with existing technologies, the technical effects and advantages of this invention are specifically reflected in the following three aspects:

[0039] 1. Achieves comprehensive, accurate, and real-time intelligent diagnosis: By integrating pressure, temperature, and wind speed sensors into multiple loops and analyzing them in conjunction with the switch and solenoid valve action signals of the ETS system, this invention can comprehensively diagnose various hidden faults that traditional methods cannot identify, such as solenoid valve jamming, pressure switch misalignment or jamming, internal leakage in channels, and blockages. The system has a built-in intelligent front-end and judgment logic, which can automatically complete data acquisition and fault determination, realizing the transformation from open-loop inspection relying on human experience to automated closed-loop intelligent diagnosis, significantly improving the timeliness and accuracy of fault detection.

[0040] 2. A risk-based early warning and decision support mechanism has been established: This invention innovatively classifies diagnostic results into four risk levels: safe, moderate, relatively severe, and critical, and automatically associates differentiated handling strategies (such as recording, prompting, and alarming). This mechanism enables operators to clearly identify the urgency and potential impact of faults, thereby prioritizing the handling of high-risk hazards, optimizing the operation and maintenance decision-making process, and realizing a proactive safety management model from post-fault response to pre-risk early warning, greatly improving the safety and efficiency of unit operation and maintenance.

[0041] 3. Excellent engineering applicability and system scalability: This method is designed based on mature redundancy logic such as "two out of three" in industrial systems and can be adapted to other logical structures through configuration. It has good compatibility with existing DCS and ETS systems, making it easy to implement and upgrade existing equipment, resulting in strong engineering feasibility. Furthermore, the system reserves data expansion interfaces, allowing the integration of other parameters such as oil system status. This lays a solid foundation for future access to big data platforms, enabling more macro-level system health assessments and predictive maintenance, thus extending the system's technical lifecycle. Attached Figure Description

[0042] Figure 1 This is a schematic diagram of the sensor arrangement and structure of the EH low oil pressure protection solenoid valve group in the turbine safety system described in this invention;

[0043] Figure 2 This is a schematic diagram of the sensor arrangement and structure for detecting oil temperature in the low lubricating oil pressure shutdown test device of the turbine safety system described in this invention;

[0044] Figure 3This is a schematic diagram of the sensor arrangement and structure for detecting wind speed in the low lubricating oil pressure shutdown test device of the turbine safety system described in this invention;

[0045] Figure 4 This is a flowchart of the overall workflow for fault diagnosis and risk assessment of the solenoid valve group in the steam turbine safety system test. Detailed Implementation

[0046] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0047] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other.

[0048] The present invention will be further described below with reference to the accompanying drawings and specific embodiments, but this is not intended to limit the scope of the invention.

[0049] Example 1:

[0050] The following is combined Figures 1-4 This embodiment describes an intelligent monitoring method for a test solenoid valve group in a steam turbine safety system, which includes the following steps:

[0051] Data acquisition steps: Sensors are arranged on each circuit of the test solenoid valve assembly to collect data on at least one physical quantity, including pressure, temperature and wind speed, in real time;

[0052] Signal receiving steps: Receive pressure switch action signals and solenoid valve action signals from the turbine emergency shutdown system (ETS);

[0053] Fault diagnosis steps: Based on a preset fault judgment logic table, the data collected in step S1 and the signal received in step S2 are logically combined and judged to identify the fault type and determine the corresponding risk level.

[0054] Information output and handling steps: The diagnostic information containing the fault type and risk level is sent to the DCS distributed control system, and the corresponding handling operation is triggered according to the risk level.

[0055] Furthermore, in the data acquisition step, the test solenoid valve group includes an EH low oil pressure protection solenoid valve group, a lubricating oil low pressure protection solenoid valve group, and a condenser vacuum low protection solenoid valve group.

[0056] For the EH low oil pressure and low lubricating oil pressure protection solenoid valve group, collect its circuit pressure and temperature data;

[0057] For the condenser vacuum low protection solenoid valve group, its circuit pressure and outlet wind speed data were collected.

[0058] Furthermore, in the fault diagnosis step, the fault judgment logic table includes: an independent fault judgment logic table for the EH oil pressure low test solenoid valve group, a fault judgment logic table for the lubricating oil pressure low test solenoid valve group, and a fault judgment logic table for the condenser vacuum low test solenoid valve group.

[0059] Each logic table, based on the corresponding pressure alarm threshold, temperature or wind speed threshold, combined with the solenoid valve operation status and pressure switch operation status, forms multi-dimensional judgment conditions to diagnose fault types including solenoid valve jamming, pressure switch jamming or offset, and channel leakage or blockage.

[0060] Furthermore, in the information output and processing steps, the risk levels are classified as follows:

[0061] Safety, Level 0;

[0062] Common fault, Level 1;

[0063] Severe fault, Level 2;

[0064] Critical fault, Level 3;

[0065] The risk level triggers corresponding actions, including not handling, recording, prompting, and alarming.

[0066] Example 2:

[0067] The following is combined Figures 1-4 This embodiment describes an intelligent monitoring system for a steam turbine safety system test solenoid valve group, comprising:

[0068] The data acquisition module is configured on each circuit of the test solenoid valve group to collect data on at least one physical quantity, including pressure, temperature and wind speed, in real time.

[0069] The signal interface module communicates with the turbine emergency shutdown system (ETS) to receive pressure switch action signals and solenoid valve action signals.

[0070] The intelligent diagnostic module is connected to the data acquisition module and the signal interface module. It stores a preset fault judgment logic table, which is used to perform logical analysis on the received data and signals and output diagnostic results including fault type and risk level.

[0071] The control output module, connected to the intelligent diagnostic module, is used to send the diagnostic results to the DCS distributed control system and execute corresponding control commands based on the risk level.

[0072] Furthermore, the data acquisition module includes pressure sensors and temperature sensors arranged in the EH low oil pressure and lubricating oil low pressure protection solenoid valve group circuit, as well as pressure sensors and wind speed sensors arranged in the condenser low vacuum protection solenoid valve group circuit.

[0073] Furthermore, the intelligent diagnostic module includes:

[0074] The data processing unit is used to perform fuzzification and discretization processing on the collected analog data;

[0075] The logic judgment unit is used to call the fault judgment logic table corresponding to different solenoid valve group types and perform combined logic operations on the processed data and digital action signals.

[0076] Furthermore, the system also includes an intelligent front-end device, which integrates the functions of the data acquisition module and at least part of the intelligent diagnostic module, and is installed locally on the test solenoid valve assembly.

[0077] Furthermore, the intelligent diagnostic module supports fault judgment based on 3-out-of-2 logic and is compatible with 4-out-of-2 or 2-out-of-1 AND logic structures.

[0078] Furthermore, the system also includes a data expansion interface for accessing the operating status parameters of other equipment in the steam turbine EH system, so that the intelligent diagnostic module can perform fusion analysis and comprehensive status assessment.

[0079] This invention proposes a fault diagnosis method for the test solenoid valve group of a steam turbine safety system. It configures corresponding pressure measuring points, temperature measuring points, flow rate measuring points, etc., and monitors the commonly used EH low oil pressure protection solenoid valve group, lubricating oil low pressure solenoid valve group and condenser vacuum protection solenoid valve group. The data collected in daily operation is discretized and then comprehensively calculated to measure the system working status from multiple dimensions.

[0080] This invention installs an intelligent front-end on the test solenoid valve assembly of a traditional steam turbine safety system. This front-end incorporates a data acquisition system and corresponding judgment logic. By analyzing the threshold changes at various measuring points, it determines the actual operating state of the valve assembly and comprehensively diagnoses the causes of faults. This invention enables timely diagnosis and handling of various faults in the test solenoid valve assembly, thereby improving the safety of the entire steam turbine generator set.

[0081] This invention discloses a fault diagnosis method for test solenoid valve assemblies in a steam turbine safety system. Pressure measuring points are arranged on each loop of the test solenoid valve assembly. Simultaneously, pressure measurements are taken at the passages for measuring the temperatures before and after the EH low oil pressure and lubricating oil low pressure test solenoid valves, as well as the vacuum test solenoid valve, along with air velocity measurements at the exhaust port. This allows for monitoring of the operating status of the test solenoid valve assembly. Based on the different characteristics of the EH low oil pressure protection solenoid valve assembly, the lubricating oil low pressure protection solenoid valve assembly, and the condenser vacuum low protection solenoid valve assembly, three fault judgment logics are developed for high-pressure oil, low-pressure oil, and vacuum, respectively. The measured data is fuzzified and discretized before analysis and calculation. Combined with specific judgment statements, the system analyzes the status to determine whether a fault exists and diagnoses the fault.

[0082] The sensor arrangement scheme involved in this method is shown in the appendix. Figures 1-3 As shown, this method is based on the design of a test device with a 3-out-of-2 logic, but the same method is also applicable to the intelligent monitoring of other 4-out-of-2 or 2-out-of-1 AND structures.

[0083] Table 1 shows the parameter information for each device code and the specific measured values, constants, and calculated values ​​of the sensors used.

[0084] Table 1

[0085] When the ETS system is working, it synchronizes the working data of each switch and the solenoid valve command data to the intelligent analysis terminal through the communication module to form a comprehensive database for analysis. The specific communication data is shown in Table 2.

[0086] Table 2

[0087] According to normal communication values, all points input from ETS are either 0 or 1. This data, along with the data measured by this system, is used for logical judgments as needed. That is, an action is represented as 1 or no action as 0, which serves as the input for fault diagnosis.

[0088] Common faults in test solenoid valve assemblies fall into several categories: First, switch malfunction, where the switch fails to operate during testing or when the operating conditions are met, or malfunctions when testing is not conducted and the operating conditions are not met (i.e., failure to operate and malfunction). Second, solenoid valve malfunction, where the pressure in the test channel does not change or changes only slightly after the solenoid valve operates. Third, system leakage, which may be internal or external, a system sealing problem, or simply a manual valve not being closed tightly, requiring manual input and inspection. The fault diagnosis logic varies depending on the system. The diagnostic methods for low EH oil pressure and low lubricating oil pressure are similar. Taking EH low oil pressure test circuit 1 as an example, its fault diagnosis method is shown in Table 3. P01 is the alarm value; theoretically, the switch should activate and trigger an alarm when P01 is reached. This value corresponds to the unified setting value for the three channels of the EH low oil pressure test device. T01 is the temperature judgment threshold; theoretically, the pipeline temperature rise has reached a certain level when T01 is reached. This value is also the unified setting value for the three channels.

[0089] Table 3

[0090] The risk levels corresponding to the faults are classified as safe (level 0), ordinary fault (level 1), relatively serious fault (level 2), and severe fault (level 3), as shown in Table 4.

[0091] Table 4

[0092] When the above table corresponds to the EH low oil pressure test circuit 2 or circuit 3, P1 / EV1 / E1 / T1 needs to be replaced with P2 / EV2 / E2 / T2 or P3 / EV3 / E3 / T3 respectively.

[0093] Taking the low lubricating oil pressure test circuit 1 as an example, its fault diagnosis and judgment method is shown in Table 5. P02 is the alarm value. When P02 is reached, the switch should theoretically activate and alarm. This value corresponds to the unified setting value of the three channels of the low lubricating oil pressure test device. T02 is the temperature judgment threshold. When T02 is reached, the pipeline temperature rise should theoretically reach a certain level. This value is also the unified setting value of the three channels.

[0094] Table 5

[0095] The risk levels corresponding to the faults are classified as safe (level 0), ordinary fault (level 1), relatively serious fault (level 2), and severe fault (level 3), as shown in Table 6.

[0096] Table 6

[0097]

[0098] When the above table corresponds to the low lubricating oil pressure test circuit 2 or circuit 3, P4 / BV1 / B1 / T4 needs to be replaced with P5 / BV2 / B2 / T5 or P6 / BV3 / B3 / T6 respectively.

[0099] Taking the condensing vacuum low test circuit 1 as an example, its fault diagnosis and judgment method is shown in Table 7. P03 is the alarm value. When P03 is reached, the switch should theoretically activate and alarm. One difference between this and the previous structure is that condensing vacuum is low operating pressure and high pressure during non-operation or fault, while EH oil pressure low and lubricating oil pressure low are the opposite. This setting value corresponds to the unified setting value of the three channels of the condensing vacuum low test device. V01 is the wind speed judgment threshold. When V01 is reached, the flow of fluid in the pipeline has theoretically reached a certain level. This value is also the unified setting value of the three channels.

[0100] Table 7

[0101]

[0102] The risk levels corresponding to the faults are classified as safe (level 0), ordinary fault (level 1), relatively serious fault (level 2), and severe fault (level 3), as shown in Table 8.

[0103] Table 8

[0104] When the above table corresponds to the condensing vacuum low test circuit 2 or circuit 3, P7 / ZV1 / Z1 / V1 needs to be replaced with P8 / ZV2 / Z2 / V2 or P9 / ZV3 / Z3 / V3 respectively.

[0105] For specific modules, the usage methods of their logic judgment tables and risk level judgment tables are provided in the appendix. Figure 4 As shown in the figure. During the analysis, the risk category is first determined (see Tables 4 / 6 / 8), and then the different risk categories are handled accordingly. There are four fault risk levels, and there are four handling methods: no action, record, prompt, and alarm. At the same time, the corresponding possible causes of the fault (see Tables 3 / 5 / 7) are transmitted to the DCS system.

[0106] This invention adds measuring points to the solenoid valve assembly of a conventional steam turbine safety system, including pressure sensors, temperature sensors, and wind speed sensors. It utilizes the existing pressure switch and solenoid valves to collect the corresponding signals and performs calculations according to the method provided by this invention. The sensor arrangement is shown in the attached figure. Figure 1-3 .

[0107] When the system is running, measurements are taken and recorded according to the measurement point information in Tables 1 and 2 to form a system database for status analysis. The data measured by the three channels of the EH oil pressure low test solenoid valve group correspond to Tables 3 and 4, the data measured by the three channels of the lubricating oil pressure low test solenoid valve group correspond to Tables 5 and 6, and the data measured by the three channels of the condensing vacuum low test solenoid valve group correspond to Tables 7 and 8.

[0108] Appendix Figure 4 It is an analysis and calculation process. Risk values ​​are assigned based on the risk levels of the three channels of each solenoid valve group, and then multiplied together. The calculation results are then classified and processed. Through various corresponding fault handling processes, problems such as switch jamming and offset of the test solenoid valve group can be diagnosed. It can also determine whether alarm signals, internal error reports, information recording, or non-operation are required. These methods are used to determine whether the test solenoid valve group is working properly and to guide the troubleshooting in a timely manner.

[0109] The method provided by this invention can analyze the changes in various measuring points of the solenoid valve group in a steam turbine safety system and perform risk estimation. By monitoring key parameters of the solenoid valve group in the steam turbine safety system, it can determine whether problems such as pressure switch misalignment or jamming have occurred in critical thermal components, thereby achieving online fault diagnosis. Furthermore, the method can be input together with other measuring points of the steam turbine EH system into a backend system for comprehensive analysis through a big data platform, further improving the system's fault diagnosis capabilities and possessing a certain degree of scalability.

[0110] While the invention has been described herein with reference to specific embodiments, it should be understood that these embodiments are merely examples of the principles and applications of the invention. Therefore, it should be understood that many modifications can be made to the exemplary embodiments, and other arrangements can be designed without departing from the spirit and scope of the invention as defined by the appended claims. It should be understood that different dependent claims and features described herein can be combined in ways different from those described in the original claims. It is also understood that features described in conjunction with individual embodiments can be used in other described embodiments.

Claims

1. A method for intelligent monitoring of test solenoid valve groups in a steam turbine safety system, characterized in that, It includes the following steps: Data acquisition steps: Sensors are arranged on each circuit of the test solenoid valve assembly to collect data on at least one physical quantity, including pressure, temperature and wind speed, in real time; Signal receiving steps: Receive pressure switch action signals and solenoid valve action signals from the turbine emergency shutdown system (ETS); Fault diagnosis steps: Based on a preset fault judgment logic table, the data collected in step S1 and the signal received in step S2 are logically combined and judged to identify the fault type and determine the corresponding risk level. Information output and handling steps: The diagnostic information containing the fault type and risk level is sent to the DCS distributed control system, and the corresponding handling operation is triggered according to the risk level.

2. The intelligent monitoring method for the test solenoid valve group of a steam turbine safety system according to claim 1, characterized in that, In the data acquisition step, the test solenoid valve group includes the EH oil pressure low protection solenoid valve group, the lubricating oil pressure low protection solenoid valve group, and the condenser vacuum low protection solenoid valve group. For the EH low oil pressure and low lubricating oil pressure protection solenoid valve group, collect its circuit pressure and temperature data; For the condenser vacuum low protection solenoid valve group, its circuit pressure and outlet wind speed data were collected.

3. The intelligent monitoring method for the test solenoid valve group of a steam turbine safety system according to claim 2, characterized in that, In the fault diagnosis step, the fault judgment logic table includes: an independent fault judgment logic table for the EH oil pressure low test solenoid valve group, a fault judgment logic table for the lubricating oil pressure low test solenoid valve group, and a fault judgment logic table for the condenser vacuum low test solenoid valve group. Each logic table, based on the corresponding pressure alarm threshold, temperature or wind speed threshold, combined with the solenoid valve operation status and pressure switch operation status, forms multi-dimensional judgment conditions to diagnose fault types including solenoid valve jamming, pressure switch jamming or offset, and channel leakage or blockage.

4. The intelligent monitoring method for the test solenoid valve group of a steam turbine safety system according to claim 1, characterized in that, In the information output and processing steps, the risk levels are classified as follows: Safety, Level 0; Common fault, Level 1; Severe fault, Level 2; Critical fault, Level 3; The risk level triggers corresponding actions, including not handling, recording, prompting, and alarming.

5. A system for implementing the intelligent monitoring method for the test solenoid valve group of the steam turbine safety system according to any one of claims 1-4, characterized in that, include: The data acquisition module is configured on each circuit of the test solenoid valve group to collect data on at least one physical quantity, including pressure, temperature and wind speed, in real time. The signal interface module communicates with the turbine emergency shutdown system (ETS) to receive pressure switch action signals and solenoid valve action signals. The intelligent diagnostic module is connected to the data acquisition module and the signal interface module. It stores a preset fault judgment logic table, which is used to perform logical analysis on the received data and signals and output diagnostic results including fault type and risk level. The control output module, connected to the intelligent diagnostic module, is used to send the diagnostic results to the DCS distributed control system and execute corresponding control commands based on the risk level.

6. The intelligent monitoring system for the test solenoid valve group of a steam turbine safety system according to claim 5, characterized in that, The data acquisition module includes pressure and temperature sensors arranged in the EH low oil pressure and lubricating oil low pressure protection solenoid valve group circuit, as well as pressure and wind speed sensors arranged in the condenser low vacuum protection solenoid valve group circuit.

7. The intelligent monitoring system for the test solenoid valve group of a steam turbine safety system according to claim 5, characterized in that, The intelligent diagnostic module includes: The data processing unit is used to perform fuzzification and discretization processing on the collected analog data; The logic judgment unit is used to call the fault judgment logic table corresponding to different solenoid valve group types and perform combined logic operations on the processed data and digital action signals.

8. The intelligent monitoring system for the test solenoid valve group of a steam turbine safety system according to claim 5, characterized in that, The system also includes an intelligent front-end device, which integrates the functions of the data acquisition module and at least part of the intelligent diagnostic module, and is installed locally on the test solenoid valve assembly.

9. The intelligent monitoring system for the test solenoid valve group of a steam turbine safety system according to claim 5, characterized in that, The intelligent diagnostic module supports fault diagnosis based on 3-out-of-2 logic and is compatible with 4-out-of-2 or 2-out-of-1 AND logic structures.

10. The intelligent monitoring system for the test solenoid valve group of a steam turbine safety system according to claim 5, characterized in that, The system also includes a data expansion interface for accessing the operating status parameters of other equipment in the steam turbine EH system, so that the intelligent diagnostic module can perform fusion analysis and comprehensive status assessment.

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