Nuclear power plant regulating valve state analysis and early warning system and method

Abstract

The invention relates to a nuclear power plant regulating valve state analysis and early warning system and method, and the system comprises a data collection module which is used for collecting the operation parameters of a valve control module; the abnormal state database is used for storing faults corresponding to abnormal parameters of the valve control module and solutions corresponding to the faults; and the data analysis module is used for judging whether the operation parameters acquired by the data acquisition module are abnormal or not, and calling faults corresponding to abnormal parameters corresponding to the operation parameters and solving measures corresponding to the faults from the abnormal state database when the operation parameters are abnormal. According to the technical scheme, the operation parameters of the valve control module can be collected and received in real time, the valve state can be analyzed, abnormal alarm can be judged, timely fault alarm can be achieved, fault reasons can be quickly positioned, corresponding suggested schemes can be given, a maintenance team can respond quickly, and fault processing time can be shortened.

Description

Technical Field

[0001] The invention relates to the field of regulating valve maintenance, and in particular to a nuclear power plant regulating valve state analysis and early warning system and method. Background Art

[0002] As one of the industrial automation control instruments, pneumatic control valves are widely used in many fields such as chemical industry, electric power, metallurgy, etc. Its working principle is to use compressed air as a power source, and to promote the friction between the valve core and the valve seat through the pneumatic actuator to achieve control of fluid flow.

[0003] Existing control valves are mainly inspected and maintained through manual inspection, which is not only time-consuming and labor-intensive, but also prone to inadequate detection of various indicators. Traditional control valve fault troubleshooting requires inspection and troubleshooting in a variety of ways, which makes fault detection inefficient and unable to locate specific faults in a timely manner, resulting in the inability of staff to take timely countermeasures, affecting the normal operation of the control valve. Currently, there are no better technical means and methods in the industry to perform real-time online monitoring of control valves, making it impossible to directly determine the cause of the fault, let alone achieve online fault prediction of the control valve. Summary of the invention

[0004] The technical problem to be solved by the present invention is that when an abnormality occurs in valve control, the cause of the fault cannot be automatically determined.

[0005] The technical solution adopted by the present invention to solve the technical problem is: to provide a nuclear power plant regulating valve state analysis and early warning system, including:

[0006] A data acquisition module, used for acquiring operating parameters of a valve control module, wherein the valve control module is used for controlling a regulating valve;

[0007] An abnormal state database, used to store faults corresponding to abnormal parameters of the valve control module and corresponding solutions to the faults;

[0008] The data analysis module is used to determine whether there is an abnormality in the operating parameters collected by the data acquisition module, and when there is an abnormality in the operating parameters, retrieve the fault corresponding to the abnormal parameter corresponding to the operating parameter from the abnormal status database, as well as the solution corresponding to the fault.

[0009] Preferably, the data acquisition module comprises a wireless communication unit, and the wireless communication unit is used to transmit the operating parameters to the data analysis module.

[0010] Preferably, the data analysis module is further used to: analyze the trend of the operating parameter according to the historical data of the operating parameter, and determine whether the operating trend of the operating parameter triggers a preset trend warning threshold.

[0011] Preferably, it also includes: a human-computer interaction interface, allowing a user to interact with the system.

[0012] A method for analyzing and warning the status of a regulating valve in a nuclear power plant is provided, comprising the following steps:

[0013] S1. Establishing an abnormal state database, wherein the abnormal state database stores faults corresponding to abnormal parameters of the valve control module and solutions corresponding to the faults;

[0014] S2, collecting the operating parameters of the valve control module;

[0015] S3. Determine whether the operating parameters are abnormal; when the operating parameters are abnormal, retrieve the fault corresponding to the abnormal parameter corresponding to the operating parameter and the solution corresponding to the fault from the abnormal status database.

[0016] Preferably, the operating parameters include air supply pressure parameters, and S2 includes:

[0017] S20, collecting the gas supply pressure parameters of the valve control module through the data acquisition module;

[0018] S3 includes:

[0019] S30, determining whether the gas supply pressure parameter exceeds a preset first pressure threshold;

[0020] S31. If not, determine that the gas supply pressure parameter is abnormal, retrieve the first fault cause corresponding to the abnormal gas supply pressure parameter from the abnormal state database and output it.

[0021] Preferably, the operating parameters include control current parameters, and S2 further includes:

[0022] S21, when the gas supply pressure parameter exceeds a preset first pressure threshold, the control current parameter of the valve control module is collected by the data collection module;

[0023] S3 also includes:

[0024] S32, determining whether the control current parameter exceeds a preset control current threshold;

[0025] S33: If yes, determine that the control current parameter is abnormal, retrieve and output the second fault cause corresponding to the abnormal control current parameter from the abnormal state database.

[0026] Preferably, the operating parameters include supply and output gas pressure parameters, and S2 further includes:

[0027] S22, when the control current parameter does not exceed the preset current threshold, the output air pressure parameter of the valve control module is collected by the data collection module;

[0028] S3 also includes:

[0029] S34, determining whether the output air pressure parameter exceeds a preset second pressure threshold;

[0030] S35: If yes, determine that the output air pressure parameter is abnormal, retrieve and output the third fault cause corresponding to the abnormal output air pressure parameter from the abnormal state database.

[0031] Preferably, the operating parameters include valve position feedback parameters, and S2 further includes:

[0032] S23, when the output air pressure parameter does not exceed the preset second pressure threshold, the valve position feedback parameter of the valve control module is collected by the data collection module;

[0033] S3 also includes:

[0034] S36, judging whether the position of the valve exceeds a preset valve position threshold value according to the valve position feedback parameter;

[0035] S37: If yes, determine that the valve position feedback parameter is abnormal, retrieve and output the fourth fault cause corresponding to the abnormal valve position feedback parameter from the abnormal state database.

[0036] Preferably, the operating parameters include fluctuation parameters of the valve position feedback signal, and S2 further includes:

[0037] S24, when the position of the valve does not exceed the preset valve position threshold, the fluctuation parameter of the valve position feedback signal of the valve control module is collected by the data collection module;

[0038] S3 also includes:

[0039] S38, determining whether the fluctuation parameter of the valve position feedback signal exceeds a preset fluctuation threshold;

[0040] S39: If yes, determine that the fluctuation parameter of the valve position feedback signal is abnormal, retrieve the fifth fault cause corresponding to the abnormal fluctuation parameter of the valve position feedback signal from the abnormal state database and output it.

[0041] The implementation of the present invention has the following beneficial effects: real-time collection and reception of operating parameters of the valve control module, analysis of the valve status and determination of abnormal alarms, timely alarm of faults, rapid location of the cause of the fault and provision of corresponding suggestions, so that the maintenance team can respond quickly and shorten the fault handling time.

[0042] In addition, the technical solution of the present invention can also analyze the changing trend of the parameter based on the historical data of the collected operating parameters, and when the trend triggers the trend warning threshold, output a reminder signal and maintenance suggestions to help operators identify potential problems more quickly, take measures to prevent accidents, intervene before the problem leads to complete failure, reduce production interruptions and downtime, and reduce maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The present invention will be further described below with reference to the accompanying drawings and embodiments, in which:

[0044] Figure 1 It is a structural schematic diagram of a nuclear power plant regulating valve state analysis and early warning system of the present invention;

[0045] Figure 2 It is a logic block diagram of a nuclear power plant regulating valve state analysis and early warning method of the present invention;

[0046] Figure 3 The invention discloses an operation flow chart of a nuclear power plant regulating valve state analysis and early warning method. DETAILED DESCRIPTION

[0047] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific embodiments of the present invention are now described in detail with reference to the accompanying drawings. In the following description, specific details such as specific system structures and technologies are proposed for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0048] like Figure 1 As shown, in a first embodiment of a nuclear power plant regulating valve state analysis and early warning system of the present invention, it includes:

[0049] A data acquisition module is used to collect operating parameters of a valve control module, wherein the valve control module is used to control a regulating valve; an abnormal state database is used to store faults corresponding to abnormal parameters of the valve control module and corresponding solutions to the faults; a data analysis module is used to determine whether there are abnormalities in the operating parameters collected by the data acquisition module, and when there are abnormalities in the operating parameters, retrieve the faults corresponding to the abnormal parameters corresponding to the operating parameters from the abnormal state database, as well as the corresponding solutions to the faults.

[0050] By changing the control valve type corresponding to the operating parameters collected by the data acquisition module and the control valve type corresponding to the faults and solutions stored in the abnormal status database, the present invention can realize status analysis and early warning of different control valves, such as pneumatic control valves and electric control valves.

[0051] In this embodiment, the data acquisition module is used to collect parameters of the valve control module. Taking the pneumatic control valve as an example, the stroke, input air pressure, output air pressure, air source air pressure, current, amplification factor, etc. of the valve control module can be collected. The valve control module is used to control the corresponding control valve, and its internal operating parameters are closely related to the operating state of the control valve. For example, the change of the input air pressure of the control valve can be mapped to the change of a certain current parameter inside the valve control module. Through the specified wiring method, the current parameter can be collected, and by analyzing the change of the current parameter, the change of the input air pressure can be analyzed in real time. After receiving the parameters sent by the data acquisition module, the data analysis module determines whether the received parameters exceed the preset threshold. If so, it means that the operating parameters of the valve operation module are abnormal, then the fault cause and solution suggestions corresponding to the relevant abnormality are retrieved from the abnormal state database, and the fault cause and solution suggestions are sent to the operator for the operator's reference.

[0052] By implementing the technical solution of the present invention, the internal parameters of the valve control module are collected and received in real time, the valve status is analyzed by the internal algorithm and abnormal alarms are determined, so that timely fault alarms can be realized, the cause of the fault can be quickly located, and corresponding suggestions can be given, so that the maintenance team can respond quickly and shorten the fault handling time.

[0053] In a specific embodiment, the valve control module is: a positioner, and the collection method is: corresponding wiring is performed according to the specific model and design requirements of the positioner, and the operating parameters of the positioner are collected and analyzed in real time. It is not necessary to set up various types of sensors to collect valve parameters. In addition, in other optional embodiments, the valve control module also includes RS485 intelligent valve control system, SVC1200 wireless intelligent valve controller, etc.

[0054] In this embodiment, the internal parameters of the positioner include: input signal, output signal, air source pressure, feedback signal, stroke, amplification factor, driving force, and current.

[0055] The technical solution of this embodiment does not require investment in additional sensors and installation costs, avoids the wiring and space required for installing additional sensors, simplifies on-site installation work, and the absence of additional sensors means reduced potential failure points. The locator is already compatible with the control system and can therefore be directly integrated into existing monitoring and control systems, relying on the locator's own sensors and signals, reducing data inaccuracies caused by sensor failures and reducing possible environmental impacts on external sensors, such as temperature, humidity, corrosion, etc.

[0056] In a specific embodiment, the data acquisition module includes a wireless communication unit, which can be a HART-Bluetooth adapter or a SITRANS AW200 WirelessHART adapter, etc., for transmitting the operating parameters of the valve control module to the data analysis module by wireless transmission. A wireless connection is established between the data acquisition module and the data analysis module. The data acquisition module is connected to the valve control module through wiring and collects its internal parameters. The wireless communication unit demodulates the operating parameters collected by the data acquisition module according to the corresponding communication protocol, and sends the demodulated original information to the data analysis module. The data analysis module then restores the original information to internal parameters, analyzes the status of the valve control module, and determines whether an abnormality occurs. If so, an alarm is output.

[0057] Specifically, each valve control module corresponds to a regulating valve, each data acquisition module corresponds to a valve control module, and the data analysis module can collect operating parameters of different valve control modules through different data acquisition modules, thereby realizing status analysis and early warning of each regulating valve.

[0058] The wireless communication unit includes a HART-Bluetooth adapter. After the data acquisition module collects the operating parameters of the positioner through wiring, it forwards the operating parameters through the HART-Bluetooth adapter. After receiving the operating parameters, the adapter demodulates the operating parameters into original information according to the HART protocol and outputs them through Bluetooth signals. The Bluetooth-WIFI adapter receives the Bluetooth signal sent by the HART-Bluetooth adapter and converts it into a WIFI signal to access the office network. The data analysis module receives the internal parameters of the positioner in the office network, analyzes the valve status through the internal algorithm, and determines the abnormal alarm.

[0059] The implementation of this solution can realize the transmission of the internal parameters of the locator wirelessly and send them remotely to the data analysis module, reducing wiring costs and maintenance expenses, simplifying the installation process, and facilitating maintenance and upgrades. New monitoring points can be easily expanded without laying a network or adding equipment for new transmission.

[0060] In a specific embodiment, the data analysis module is used to: Based on the historical data of the operating parameters, the parameters of different valves in the same time period or different time periods can be compared, and the trend of the operating parameters can be analyzed. Appropriate statistical methods or machine learning models can be used to analyze the trend of the operating parameters. Common methods include: linear regression analysis to determine whether the trend has a linear relationship. Time series analysis, such as the ARIMA model, is used to predict future values ​​and analyze trends.

[0061] At the same time, the data analysis module is also used to: analyze the operating parameters of multiple valve control modules in the same period, because the data analysis module can simultaneously obtain the operating parameters of multiple valve control modules through multiple data acquisition modules, track and compare the operating parameters of multiple valve control modules, which helps to analyze the operating status of the entire unit, predict potential maintenance needs and failures, and reduce downtime and maintenance costs.

[0062] To determine whether the operating trend of the operating parameters triggers the preset trend warning threshold, the warning threshold can be set based on historical data and actual needs.

[0063] In this embodiment, the data analysis module can store the operating parameters sent by the data acquisition module, establish a data trend chart based on historical data, analyze the changing trend of the operating parameters, and determine that the operating parameters may have parameter abnormalities during this maintenance cycle according to the operating trend. This triggers a trend warning to remind the operator to perform maintenance or pay special attention.

[0064] The specific steps performed by the data analysis module include:

[0065] Operation parameter analysis: record and analyze the operation parameters, and use statistical analysis tools to identify the patterns and trends in the data. In this step, in order to more intuitively display the results of trend warnings, you can use data visualization tools. For example, use Excel to create a time trend chart and mark different warning areas with different colors.

[0066] Establish an early warning mechanism: Create an early warning mechanism. When the trend of the operating parameters reaches or exceeds the preset trend threshold, the data analysis module will send an early warning signal to the alarm module of this system. The alarm module converts the signal into a form that can be recognized by the operator, such as sound, light, text and other alarm information. Specifically, analyze the historical operating parameters of the valve control module; analyze the operating trends of the historical operating parameters; predict whether an abnormality will occur during this maintenance cycle based on the operating trend, and if so, output an early warning signal and corresponding maintenance suggestions.

[0067] Taking the gas supply pressure parameters of the valve operation module as an example, assuming that the gas supply pressure of 2.8 bar is the set threshold, the historical data of the gas supply pressure is: 3.3 bar, 3.2 bar, 3.1 bar, 3.0 bar, 2.9 bar. Although the data currently collected is still within the normal range, the gas supply pressure has a trend of exceeding the preset threshold during this maintenance cycle. Therefore, an early warning signal of gas supply pressure <2.8 bar is output, and a maintenance suggestion is output to remind the operator to conduct key monitoring, maintenance and investigation.

[0068] The technical solution implemented in this embodiment can analyze the changing trend of the parameter based on the historical data of the collected operating parameters, and output a reminder signal and maintenance suggestion when the trend triggers the trend warning threshold, so as to help operators identify potential problems more quickly, take measures to prevent accidents, intervene before the problem leads to complete failure, and reduce production interruptions and downtime.

[0069] In a specific embodiment, the nuclear power plant regulating valve status analysis and early warning system of the present application also includes a human-computer interaction interface for enabling the operator to interact with the regulating valve status analysis and early warning system. In this embodiment, the human-computer interaction interface connects the data analysis module, the data acquisition module, and the valve control module. The user can send data acquisition instructions to the data acquisition module through the human-computer interaction interface, and can also obtain the operating parameters, abnormal alarms, abnormal warnings, and maintenance suggestions of the valve control module sent by the data analysis module through the human-computer interaction interface. The operator can also send control instructions to the valve control module through the human-computer interaction interface to adjust the valve operating status. The implementation of the technical solution of this embodiment can help users make better decisions by providing necessary information and intuitive display methods.

[0070] The nuclear power plant regulating valve state analysis and early warning system of the present invention can analyze the operating state of regulating valves used on site, such as pneumatic regulating valves and electric regulating valves. The system can be used to implement a nuclear power plant regulating valve state analysis and early warning method, and the method is described below using a pneumatic regulating valve as an example.

[0071] Figure 2 1 is a logic block diagram of a nuclear power plant regulating valve state analysis and early warning method according to another embodiment of the present invention, the method comprising the following steps:

[0072] S1. Establish an abnormal state database, wherein the abnormal state database stores the faults corresponding to the abnormal parameters of the valve control module and the corresponding solutions to the faults. In this step, it should be noted that the abnormal state database can be pre-established, including the fault causes and solutions corresponding to various parameter abnormalities, and the abnormal state database can be continuously updated. If a new parameter abnormality occurs, the operator can update the abnormal state database through the human-computer interaction interface.

[0073] S2. Collecting the operating parameters of the valve control module. In this step, it should be noted that the internal parameters of the valve control module can be collected and output through wiring.

[0074] S3. Determine whether there is an abnormality in the operating parameters; when there is an abnormality in the operating parameters, retrieve the fault corresponding to the abnormal parameter corresponding to the operating parameter and the corresponding solution to the fault from the abnormal status database.

[0075] By implementing the technical solution of this embodiment, the internal parameters of the valve control module can be collected and received in real time, the valve status can be analyzed by the internal algorithm and abnormal alarm can be judged, so as to realize timely warning of faults, quickly locate the cause of faults and give corresponding suggestions. Potential safety hazards can be discovered in time to prevent accidents, and valve performance and parameters can be monitored in real time, problems can be discovered and diagnosed in time, the probability of faults can be reduced, and maintenance costs can be reduced.

[0076] Figure 3 This is a specific application embodiment of a nuclear power plant regulating valve state analysis and early warning method provided by the present invention, including:

[0077] S20, collecting the air supply pressure parameters of the valve control module through the data acquisition module. In this step, it should be noted that the air supply pressure is an important parameter for the normal operation of the regulating valve, which refers to the pressure of the compressed air supplied to the pneumatic actuator.

[0078] S30, determining whether the gas supply pressure parameter exceeds a preset first pressure threshold. In this step, it should be noted that the first pressure threshold is determined according to the operation requirements and actual maintenance requirements of the valve.

[0079] S31. If not, determine that the gas supply pressure parameter is abnormal, retrieve the first fault cause corresponding to the abnormal gas supply pressure parameter from the abnormal state database and output it.

[0080] S21, when the air supply pressure parameter exceeds the preset first pressure threshold, the control current parameter of the valve control module is collected through the data acquisition module. In this step, it should be noted that the control current parameter refers to the input signal current received by the valve positioner, and this signal is used to control the opening of the valve to adjust the flow rate of the fluid.

[0081] S32, judging whether the control current parameter exceeds a preset control current threshold. In this step, it should be noted that the control current threshold is determined according to the operation requirements and actual maintenance requirements of the valve.

[0082] S33: If yes, determine that the control current parameter is abnormal, retrieve the second fault cause corresponding to the abnormal control current parameter from the abnormal state database and output it.

[0083] S22, when the current parameter does not exceed the preset current threshold, the output air pressure parameter of the valve control module is collected through the data acquisition module. In this step, it should be noted that the output air pressure parameter refers to the air pressure range that the valve can output and act on the regulating valve diaphragm head under the drive of the actuator. This air pressure change is changed according to the input control signal (such as 4-20mA current signal).

[0084] S34, determining whether the output air pressure parameter exceeds a preset second pressure threshold. In this step, it should be noted that the second pressure threshold is determined according to the operation requirements and actual maintenance requirements of the valve.

[0085] S35: If yes, determine that the output air pressure parameter is abnormal, retrieve the third fault cause corresponding to the abnormal output air pressure parameter from the abnormal state database and output it.

[0086] S23, when the output air pressure parameter does not exceed the preset second pressure threshold, the valve position feedback parameter of the valve control module is collected through the data acquisition module. In this step, it should be noted that the valve position feedback parameter usually refers to the valve position signal, which can reflect the instant opening state of the valve.

[0087] S36. Determine whether the valve position exceeds a preset valve position threshold value based on the valve position feedback parameter. In this step, it should be noted that the valve position threshold value is determined based on the operation requirements and actual maintenance requirements of the valve.

[0088] S37: If yes, determine that the valve position feedback parameter is abnormal, retrieve the fourth fault cause corresponding to the abnormal valve position feedback parameter from the abnormal state database and output it.

[0089] S24, when the valve position does not exceed the preset valve position threshold, the fluctuation parameter of the valve position feedback signal of the valve control module is collected through the data acquisition module. In this step, it should be noted that the fluctuation parameter of the valve position feedback signal of the pneumatic control valve refers to the instability of the valve position signal within a certain period of time. This instability may be caused by various factors, and the time range of the analysis can be set according to actual needs.

[0090] S38. Determine whether the fluctuation parameter of the valve position feedback signal exceeds a preset fluctuation threshold. In this step, it should be noted that the fluctuation parameter of the valve position feedback signal is a fluctuation range, which is determined according to the operation requirements and actual maintenance requirements of the valve.

[0091] S39: If yes, determine that the fluctuation parameter of the valve position feedback signal is abnormal, retrieve the fifth fault cause corresponding to the abnormal fluctuation parameter of the valve position feedback signal from the abnormal state database and output it.

[0092] The following is a specific example:

[0093] The air supply pressure of the valve control module is collected through the data acquisition module; the data analysis module determines whether the air supply pressure is greater than 2.8; if not, it is determined that there is an abnormality in the air supply pressure, and the corresponding fault cause and solution when the air supply pressure is less than 2.8 are retrieved from the abnormal status database. The fault cause is a failure of the filter pressure reducing valve, and the solution is to replace the pressure reducing valve, which is output to the human-computer interaction interface.

[0094] When the gas supply pressure is greater than 2.8, the control current of the valve control module is collected through the data acquisition module; it is determined whether the control current is within the range of 3.6-20.4mA; if not, it is determined that the control current is abnormal, and the corresponding fault cause and solution when the control current parameter is abnormal are retrieved from the abnormal status database. The fault cause is a control card failure or abnormal wiring. The solution is to replace the control card or rewire, and output it to the human-computer interaction interface.

[0095] When the control current is within the range of 3.6-20.4mA, the output air pressure of the valve control module is collected through the data acquisition module; it is determined whether the output air pressure is always 0 or always equal to the input air pressure; if so, it is determined that there is an abnormality in the output air pressure parameter, and the corresponding fault cause and solution when the output air pressure parameter is abnormal are retrieved from the abnormal status database. The fault cause is a positioner failure, and the solution is to replace the positioner and output it to the human-computer interaction interface.

[0096] When the output air pressure parameter is not always 0 or always equal to the input air pressure, the valve position feedback value of the valve control module is collected through the data acquisition module; according to the valve position value, it is determined whether the valve position is within the range of [200*output air pressure value-305, 200*output air pressure value-295]; if not, it is determined that the valve position feedback parameter is abnormal, and the corresponding fault cause and solution when the valve position feedback parameter is abnormal are retrieved from the abnormal status database. The fault cause is spring failure or abnormal friction, and the solution is dismantling and repairing, and outputting it to the human-computer interaction interface.

[0097] When the valve position exceeds the range of [200*output air pressure value-305,200*output air pressure value-295], the fluctuation parameters of the valve position feedback signal of the valve control module are collected through the data acquisition module; it is determined whether the valve position feedback signal fluctuates more than 5 times within 1s, and whether the amplitude exceeds 2% each time; if so, it is determined that the valve position feedback parameter is abnormal, and the corresponding fault cause and solution when the valve position feedback parameter is abnormal are retrieved from the abnormal state database. The fault cause is the damage of the cylinder diaphragm, and the solution is to dismantle and replace the cylinder diaphragm, and output it to the human-computer interaction interface. If none of the above abnormalities exist, it is determined that the regulating valve is operating normally.

[0098] At the same time, in this embodiment, the method further includes: even if the current operating parameters of the valve control module are normal and the regulating valve is determined to be normal, the data analysis module still needs to analyze the operating trends of the operating parameters to determine whether to trigger a trend warning, as follows:

[0099] The data analysis module analyzes the historical data of the gas supply pressure to determine whether it has an operating trend of less than 2.8 bar during this maintenance cycle; if so, the human-computer interaction interface outputs an early warning signal that the filter pressure reducing valve may fail and needs maintenance. The maintenance cycle is set according to the maintenance needs of the nuclear power plant.

[0100] The data analysis module analyzes the historical data of the control current of the valve control module to determine whether it has an operating trend exceeding the range of 3.6-20.4mA during this maintenance cycle. If so, the human-computer interaction interface outputs an early warning signal that the control card may fail and requires maintenance.

[0101] The data analysis module analyzes the historical data of the valve position to determine whether there is an operating trend beyond the range of [200*output air pressure value-305, 200*output air pressure value-295] during this maintenance cycle; if so, the human-computer interaction interface outputs a warning signal that the spring may be faulty and needs to be disassembled for maintenance.

[0102] By implementing the technical solution of this embodiment, it is possible to collect and receive the internal parameters of the positioner in real time, judge the valve fault in a graded manner, and step-by-step inspection can ensure that all possible problem areas are considered, reducing the risk of missing potential problems. Orderly fault diagnosis can reduce misjudgment and improve the accuracy of identifying the root cause of the problem. Through the elimination method, the scope of the problem can be quickly narrowed down and the efficiency of fault diagnosis can be improved. The orderly diagnostic process makes it easy to record the inspection and results of each step, which is convenient for problem tracking and future review and analysis.

[0103] It can be understood that the above embodiments only express the preferred implementation modes of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the patent scope of the present invention. It should be pointed out that, for ordinary technicians in this field, the above technical features can be freely combined without departing from the concept of the present invention, and several deformations and improvements can be made, which all belong to the protection scope of the present invention. Therefore, all equivalent changes and modifications made to the scope of the claims of the present invention should belong to the coverage of the claims of the present invention.

Claims

1. A nuclear power plant regulating valve status analysis and early warning system, comprising: A data acquisition module, used for acquiring operating parameters of a valve control module, wherein the valve control module is used for controlling a regulating valve; An abnormal state database, used to store faults corresponding to abnormal parameters of the valve control module and corresponding solutions to the faults; The data analysis module is used to determine whether there is an abnormality in the operating parameters collected by the data acquisition module, and when there is an abnormality in the operating parameters, retrieve the fault corresponding to the abnormal parameter corresponding to the operating parameter from the abnormal status database, as well as the solution corresponding to the fault.

2. The nuclear power plant regulating valve status analysis and early warning system according to claim 1, characterized in that: The data acquisition module includes a wireless communication unit, and the wireless communication unit is used to transmit the operating parameters to the data analysis module.

3. The nuclear power plant regulating valve status analysis and early warning system according to claim 1, characterized in that: The data analysis module is also used to analyze the trend of the operating parameter according to the historical data of the operating parameter, and determine whether the operating trend of the operating parameter triggers a preset trend warning threshold.

4. The nuclear power plant regulating valve status analysis and early warning system according to claim 1, characterized in that: Also includes: A human-computer interface enables a user to interact with the system.

5. A method for analyzing and warning the status of a regulating valve in a nuclear power plant, characterized in that: Applied to the regulating valve state analysis and early warning system according to any one of claims 1 to 4, the method comprises the following steps: S1. Establishing an abnormal state database, wherein the abnormal state database stores faults corresponding to abnormal parameters of the valve control module and solutions corresponding to the faults; S2, collecting the operating parameters of the valve control module; S3. Determine whether the operating parameters are abnormal; when the operating parameters are abnormal, retrieve the fault corresponding to the abnormal parameter corresponding to the operating parameter and the solution corresponding to the fault from the abnormal status database.

6. The nuclear power plant regulating valve status analysis and early warning method according to claim 5 is characterized in that: The operating parameters include air supply pressure parameters; S2 includes: S20, collecting the gas supply pressure parameters of the valve control module through the data acquisition module; S3 includes: S30, determining whether the gas supply pressure parameter exceeds a preset first pressure threshold; S31. If not, determine that the gas supply pressure parameter is abnormal, retrieve the first fault cause corresponding to the abnormal gas supply pressure parameter from the abnormal state database and output it.

7. The nuclear power plant regulating valve status analysis and early warning method according to claim 6 is characterized in that: The operating parameters also include control current parameters; S2 also includes: S21, when the gas supply pressure parameter exceeds a preset first pressure threshold, collecting the control current parameter of the valve control module through the data acquisition module; S3 also includes: S32, determining whether the current parameter exceeds a preset control current threshold; S33: If yes, determine that the control current parameter is abnormal, retrieve and output the second fault cause corresponding to the abnormal control current parameter from the abnormal state database.

8. The nuclear power plant regulating valve status analysis and early warning method according to claim 7 is characterized in that: The operating parameters also include output air pressure parameters; S2 also includes: S22, when the control current parameter does not exceed the preset current threshold, collecting the output air pressure parameter of the valve control module through the data acquisition module; S3 also includes: S34, determining whether the output air pressure parameter exceeds a preset second pressure threshold; S35: If yes, determine that the output air pressure parameter is abnormal, retrieve and output the third fault cause corresponding to the abnormal output air pressure parameter from the abnormal state database.

9. The nuclear power plant regulating valve status analysis and early warning method according to claim 8, characterized in that: The operating parameters also include valve position feedback parameters; S2 also includes: S23, when the output air pressure parameter does not exceed the preset second pressure threshold, the valve position feedback parameter of the valve control module is collected by the data collection module; S3 also includes: S36, judging whether the position of the valve exceeds a preset valve position threshold value according to the valve position feedback parameter; S37: If yes, determine that the valve position feedback parameter is abnormal, retrieve and output the fourth fault cause corresponding to the abnormal valve position feedback parameter from the abnormal state database.

10. The nuclear power plant regulating valve status analysis and early warning method according to claim 9, characterized in that: The operating parameters also include fluctuation parameters of the valve position feedback signal; S2 also includes: S24, when the position of the valve does not exceed the preset valve position threshold, the data acquisition module collects the fluctuation parameters of the valve position feedback signal of the valve control module; S3 also includes: S38, determining whether the fluctuation parameter of the valve position feedback signal exceeds a preset fluctuation threshold; S39: If yes, determine that the fluctuation parameter of the valve position feedback signal is abnormal, retrieve the fifth fault cause corresponding to the abnormal fluctuation parameter of the valve position feedback signal from the abnormal state database and output it.

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