AST solenoid valve health state real-time monitoring and evaluation early warning method and system

Abstract

The invention discloses an AST electromagnetic valve health state real-time monitoring and evaluation early warning method and system, and relates to the technical field of power plant safety equipment monitoring and early warning. Identifying the health characteristics of the electromagnetic valve through a first model built in the first device, and judging the state of the electromagnetic valve; and carrying out early warning prompt according to the first model output value or the parameter abnormal condition. According to the AST solenoid valve health state real-time monitoring and evaluation early warning method, the fault detection accuracy and response speed of the system are improved through the high-frequency current signal acquisition step, the monitoring dimension and precision of the system are improved through real-time acquisition of the temperature of the coil of the AST solenoid valve, and the early warning effect of the system is improved through real-time output of the fault early warning signal. According to the method, quick response and prompt of fault early warning are realized, and better effects are achieved in the aspects of detection accuracy, response speed and detection dimension.

Description

Technical Field

[0001] The present invention relates to the technical field of power plant safety equipment monitoring and early warning, and in particular to a real-time monitoring, evaluation and early warning method for the health status of an AST solenoid valve. Background Art

[0002] In the turbine protection system of the power plant, the AST solenoid valve is an important component of the turbine emergency tripping system. Its function and stability directly affect the safe operation of the power plant. With the development of modern power technology, the demand for equipment health status monitoring in power plants is increasing, especially the real-time status monitoring of key equipment such as AST solenoid valves is particularly important. The AST solenoid valve undertakes the key protection task in the turbine tripping system, which is responsible for quickly cutting off the steam channel when an abnormality occurs to avoid further equipment damage and economic losses. However, in recent years, the practice has shown that AST solenoid valve failures occur frequently, such as throttle blockage, solenoid valve internal leakage, and jamming. The occurrence of these failures will not only cause the failure of the turbine protection function, but also may cause unplanned shutdown of the turbine, causing huge economic losses. Therefore, the development of a system that can monitor the health status of the AST solenoid valve in real time, timely warn and avoid the occurrence of failures is a major trend in the current development of power plant protection system technology. Although the existing technology has certain monitoring and diagnosis capabilities, it usually relies on regular inspections and routine maintenance, lacks dynamic evaluation of the real-time status of the equipment, and is difficult to detect potential faults in time.

[0003] The deficiencies of existing technologies are mainly reflected in the following aspects. First, traditional AST solenoid valve monitoring methods are usually limited to passive signal acquisition, which cannot achieve a comprehensive assessment of the health status of the solenoid valve, especially the lack of comprehensive analysis of multiple parameters such as current and temperature, making it difficult to accurately identify the health status of the solenoid valve. Secondly, existing systems often rely on manual inspections, with high regular maintenance costs, and cannot respond to sudden abnormalities of the solenoid valve in a timely manner, which can easily cause unnecessary downtime. In addition, current monitoring systems mostly use single signal transmission, which is susceptible to interference and has poor data stability. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is that the existing solenoid valve status assessment and early warning methods lack real-time performance, data collection and analysis are not comprehensive, and there is an optimization problem of how to timely identify potential faults and issue early warnings.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: a real-time monitoring and evaluation and early warning method for the health status of an AST solenoid valve, comprising obtaining real-time data of the solenoid valve coil; identifying the health characteristics of the solenoid valve through a first model built into a first device to determine the state of the solenoid valve; and issuing an early warning prompt based on abnormal output values ​​or parameters of the first model.

[0007] As a preferred solution of the real-time monitoring and evaluation early warning method for the health status of the AST solenoid valve described in the present invention, wherein: the acquisition of real-time data of the solenoid valve coil includes pre-setting various parameters of the first device and collecting current parameters.

[0008] As a preferred solution of the real-time monitoring and evaluation and early warning method for the health status of the AST solenoid valve described in the present invention, the acquisition of real-time data of the solenoid valve coil also includes a second device monitoring the real-time temperature data of the solenoid valve coil and sending the collected temperature data to the first device.

[0009] As a preferred scheme of the real-time monitoring and evaluation and early warning method of the health status of the AST solenoid valve described in the present invention, the identification of the health characteristics of the solenoid valve includes collecting the real-time current signals of the solenoid valves in a preset group of healthy states, processing and decomposing the current signals, obtaining multi-band characteristics, and determining the sensitive characteristics of the solenoid valve current signals.

[0010] As a preferred solution of the real-time monitoring and evaluation and early warning method for the health status of the AST solenoid valve described in the present invention, the state of the solenoid valve is judged by analyzing the historical curve based on the changes in the effective value of the current and predicting and troubleshooting the state of the solenoid valve according to the collected current value.

[0011] As a preferred scheme of the real-time monitoring and evaluation early warning method for the health status of the AST solenoid valve described in the present invention, the early warning prompt based on the output value of the first model or the abnormal parameter situation includes the first model analysis, processing and decomposing the current signal, bringing the acquired characteristic value into the first model, obtaining the first model output value, and performing graded alarm according to the measurement results.

[0012] As a preferred solution of the real-time monitoring and evaluation early warning method for the health status of the AST solenoid valve described in the present invention, the early warning prompt based on the output value of the first model or the abnormal parameter situation also includes outputting an alarm based on the internal parameters and evaluation of the solenoid valve.

[0013] Another object of the present invention is to provide a real-time monitoring and evaluation early warning system for the health status of an AST solenoid valve, which can perform a comprehensive analysis of the collected data through a status judgment module, identify the health characteristics of the solenoid valve, and judge the current status, thereby solving the current problem of difficulty in accurately judging the cause and status of solenoid valve failures.

[0014] As a preferred solution of the AST solenoid valve health status real-time monitoring and evaluation early warning system described in the present invention, it includes: a data acquisition module, a status judgment module, and an early warning prompt module; the data acquisition module is used to obtain real-time data of the solenoid valve coil; the status judgment module is used to identify the health characteristics of the solenoid valve through the first model built into the first device, and judge the status of the solenoid valve; the early warning prompt module is used to issue an early warning prompt based on the output value of the first model or the abnormal condition of the parameters.

[0015] A computer device includes a memory and a processor, wherein the memory stores a computer program, and is characterized in that the processor executes the computer program to implement a step of a method for real-time monitoring, evaluation and early warning of the health status of an AST solenoid valve.

[0016] A computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of a method for real-time monitoring, evaluation and early warning of the health status of an AST solenoid valve are implemented.

[0017] Beneficial effects of the present invention: The real-time monitoring and evaluation and early warning method for the health status of an AST solenoid valve provided by the present invention improves the fault detection accuracy and response speed of the system through a high-frequency current signal acquisition step, and improves the monitoring dimension and accuracy of the system through real-time acquisition of the temperature of the AST solenoid valve coil. By establishing a solenoid valve health status model based on current and temperature data, the service life of the equipment is extended and the operating cost is reduced. Through the real-time output of a fault warning signal, a rapid response and prompt of a fault warning is achieved. The present invention achieves better results in terms of detection accuracy, response speed and detection dimension. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0019] Figure 1 An overall flow chart of a method for real-time monitoring and evaluation of the health status of an AST solenoid valve provided for the first and second embodiments of the present invention.

[0020] Figure 2 A diagram of a real-time monitoring and evaluation warning system for the health status of an AST solenoid valve, providing a method for real-time monitoring and evaluation warning of the health status of an AST solenoid valve according to the first and second embodiments of the present invention.

[0021] Figure 3 An overall module diagram of a real-time monitoring and evaluation early warning system for the health status of an AST solenoid valve provided in accordance with the fourth embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0023] Example 1

[0024] Reference Figure 1-Figure 2 , is an embodiment of the present invention, and provides a real-time monitoring and evaluation early warning method for the health status of an AST solenoid valve, comprising:

[0025] S1: Get the real-time data of the solenoid valve coil.

[0026] Furthermore, obtaining the real-time data of the solenoid valve coil includes presetting various parameters of the first device and collecting current parameters.

[0027] It should be noted that the first device may be a current acquisition device based on multi-band current signal analysis or a current acquisition device based on adaptive filtering.

[0028] It should also be noted that the current acquisition device based on multi-band current signal analysis is arranged near the solenoid valve coil and collects current signals at a frequency exceeding 1kHz to ensure that the collected high-resolution data can accurately reflect the working state of the solenoid valve. The current acquisition device has a built-in 16-bit precision ADC module, which can accurately capture current fluctuations and is suitable for data acquisition in complex environments. The collected current signals are decomposed into different frequency bands and processed through fast Fourier transform (FFT) to extract multi-band features and analyze characteristic values ​​in different frequency bands to identify possible abnormal modes. For example, the low frequency band indicates the overall working state of the solenoid valve, while the abnormality in the high frequency band indicates microscopic faults or electrical noise. It is equipped with a large-capacity storage unit to record the collected current data in real time for subsequent analysis and verification. The data is sent to the first device through wireless transmission (such as LoRa) technology for centralized monitoring and rapid response.

[0029] It should also be noted that the current acquisition device based on adaptive filtering automatically determines the environmental noise level during initialization and sets the baseline sampling rate. When changes in environmental noise are detected, the adaptive filtering module automatically adjusts the sampling rate to reduce noise interference and improve signal acquisition quality. The Kalman filter is used to adjust the current signal in real time to filter out useful information and avoid the influence of low-frequency interference. The acquisition device analyzes the peak fluctuation of the current signal in real time. When obvious peak changes (such as overcurrent or sudden drop) are detected, the signal is recorded and analyzed to determine whether there are abnormal conditions such as solenoid valve jamming or short circuit. The collected abnormal peak data is marked and classified to provide detailed data support for subsequent fault analysis. Multi-layer shielding technology and high-performance inductor filters are used to ensure the normal operation of the equipment in a strong electromagnetic interference environment. The data is transmitted to the first device via Ethernet or wirelessly, and is comprehensively analyzed in combination with multiple parameters such as temperature.

[0030] Furthermore, obtaining the real-time data of the solenoid valve coil also includes the second device monitoring the real-time temperature data of the solenoid valve coil and sending the collected temperature data to the first device.

[0031] It should be noted that the second device may be a wireless temperature acquisition device based on a high-precision temperature sensor or a surface temperature acquisition device based on infrared thermal imaging.

[0032] It should also be noted that the wireless temperature acquisition device based on high-precision temperature sensors uses high-precision temperature sensors (such as RTD or thermocouples) installed on the surface of the solenoid valve coil to achieve real-time temperature monitoring. The sensor has a high resolution of 0.1°C to ensure the accuracy of temperature data. The temperature sensor has high anti-interference ability and can work stably in a strong electromagnetic field environment. It is suitable for power plant equipment and uses low-power wireless technology (such as LoRa or Zigbee) for data transmission to ensure that the equipment can work stably for a long time during remote monitoring while reducing power consumption. The wireless transmission module sends data through an encryption protocol to ensure data security and ensures the integrity of the transmitted data through an automatic correction function. The equipment is designed with a modular structure, and the sensors, wireless modules and batteries can be replaced and maintained independently. Even if a failure occurs, components can be replaced quickly to shorten downtime. The equipment is equipped with a removable battery and is designed in low-power mode to extend battery life and reduce on-site maintenance costs.

[0033] It should also be noted that the surface temperature acquisition device based on infrared thermal imaging uses an infrared thermal imaging sensor to monitor the surface temperature of the solenoid valve at a long distance and without contact. The sensor has a fast response speed and can generate a thermal image in a short time. The device can capture the temperature distribution and generate a real-time thermal map, identify the temperature difference of each part of the solenoid valve, and assist in judging the location and degree of temperature anomalies. The images collected by the thermal imaging device display the temperature difference with high resolution, and extract the temperature value through the image processing algorithm. The thermal distribution of the solenoid valve can be analyzed in real time according to the temperature characteristics of different areas. The device has a built-in memory and can record multiple thermal maps to provide historical data support for subsequent temperature change trend analysis. The device transmits temperature data to the central monitoring system wirelessly or wired, and supports integration with the current acquisition system to perform multi-dimensional analysis of temperature and current. It has an automatic data upload function and can provide real-time monitoring data to the first device in a timely manner to ensure that the temperature information of the equipment can be transmitted to the monitoring personnel as soon as possible.

[0034] Example 2

[0035] Reference Figure 1-Figure 2 , is an embodiment of the present invention, and provides a real-time monitoring and evaluation early warning method for the health status of an AST solenoid valve, comprising:

[0036] S2: Identify the health characteristics of the solenoid valve through the first model built into the first device to determine the state of the solenoid valve.

[0037] Furthermore, identifying the health characteristics of the solenoid valves includes collecting real-time current signals of a preset group of healthy state solenoid valves.

[0038] It should be noted that the current signal is processed and decomposed to obtain multi-band characteristics and determine the sensitive characteristics of the solenoid valve current signal.

[0039] It should also be noted that the first model is a solenoid valve health model. The fault characteristics are extracted from the solenoid valve current data of different degrees of faults in a preset group by the same method. According to the obtained characteristic parameters, a regression curve is used to fit the data to obtain the solenoid valve health model.

[0040] It should also be noted that the first device is an AST solenoid valve micro-signal analysis device, which can collect the current signal of the AST solenoid valve in real time and at high frequency. It adopts a low-power, high-performance CPU and a fanless design, which greatly extends the service life and improves the stability of operation. It provides hardware guarantees for improving system reliability. It has a hardware watchdog and implements process-level monitoring to solve the problem of unexpected freezes. The power supply adopts common-mode inductor filtering to effectively filter out common-mode interference in the power supply and improve the purity of the power supply quality. At the same time, DC-DC power supply isolation technology is used between internal modules to completely isolate digital and analog signals, which not only avoids mutual interference, but also enhances the system's resistance to voltage fluctuations, ensuring the accuracy of signal acquisition and analysis. High-performance digital isolation chips are used internally to achieve high-speed and low-power data transmission, while significantly improving the reliability of signal transmission, providing strong support for real-time data analysis, and using redundant communication buses to improve data communication reliability.

[0041] It should also be noted that the device is equipped with a large-capacity storage card, which can save the effective current value and temperature value calculated in real time, which is convenient for later tracing and analysis. The real-time signals such as current signals and temperature signals collected by the equipment can be output through the network port or serial port to provide data support for other parts.

[0042] Furthermore, determining the state of the solenoid valve includes determining the change in the effective value of the current.

[0043] It should be noted that the state of the solenoid valve can be determined and predicted and checked based on the collected current value and the historical curve.

[0044] It should also be noted that when the effective value of the current changes beyond the preset value, the historical curve is analyzed based on the collected current value. When the effective value of the current increases or decreases beyond the preset value, it is predicted to be in a sub-healthy state, the life of the solenoid valve is reduced, and the staff is notified to investigate the problem. The current flowing through the solenoid valve coil is divided into two parts: work and heat. Assume that the total power of the coil is P1, the resistance heating power is P2, and the work power is P3. When P3 remains unchanged, the total power of the coil and the resistance heating power are expressed as:

[0045] P1=UI

[0046]

[0047] Among them, U is the solenoid valve voltage, I is the initial current of the solenoid valve, R i is the internal resistance of the solenoid valve coil. When the temperature rises, the initial internal resistance of the solenoid valve coil increases and the initial current decreases. The internal resistance of the solenoid valve coil that changes with temperature is expressed as:

[0048]

[0049] R2=R1(1+αt(T2-T1))

[0050] Among them, α is the temperature coefficient, T1 is the initial temperature, indicating the ambient temperature, T2 is the internal temperature of the solenoid valve, I2 is the current after the change, R is the initial internal resistance of the solenoid valve coil, R1 is the internal resistance of the coil measured at the initial moment, and R2 is the internal resistance of the solenoid valve coil after the temperature changes.

[0051] S3: Produce an early warning based on the output value or parameter abnormality of the first model.

[0052] Furthermore, issuing an early warning based on an abnormality in the output value or parameter of the first model includes analyzing the first model.

[0053] It should be noted that the current signal is processed and decomposed, the acquired characteristic value is brought into the first model, the first model output value is obtained, and a graded alarm is performed according to the measurement result.

[0054] It should also be noted that the current signal is decomposed by performing wavelet transform and short-time Fourier transform (Kaiser window) respectively, and the obtained eigenvalues ​​are brought into the above-mentioned solenoid valve health model to obtain the health of the solenoid valve, and graded alarms are performed according to the measurement results.

[0055] Furthermore, issuing an early warning prompt based on the output value of the first model or the abnormal condition of the parameter also includes outputting an alarm based on the internal parameters and evaluation of the solenoid valve.

[0056] Example 3

[0057] An embodiment of the present invention provides a real-time monitoring and evaluation early warning method for the health status of an AST solenoid valve. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0058] Traditional AST solenoid valve monitoring systems usually rely on single parameter monitoring (for example, only monitoring current signals), and rely on lower frequency signal transmission methods for data transmission and early warning mechanisms. It has certain limitations in accuracy, response speed, and early warning accuracy, and lacks multi-parameter fusion analysis and real-time fault assessment capabilities. The traditional AST solenoid valve monitoring technology and the AST solenoid valve health status real-time monitoring system of the present invention are compared to evaluate the performance difference between the two in solenoid valve monitoring. The specific test objects include the prior art solution and the solution of the present invention. The test parameters are set to current deviation, solenoid valve coil temperature, response time, signal stability and early warning accuracy. The test is carried out under conditions simulating the operation of a steam turbine. The temperature and current deviations are manually intervened through simulation equipment to test the system's detection and early warning capabilities for solenoid valve abnormalities.

[0059] In the experiment, a standard power supply was used to power the solenoid valve, the data acquisition module collected current data once per second, and the coil temperature was monitored by a sensor. The prior art only made judgments based on a single current signal, while the present invention combined a multi-parameter analysis model. The present invention transmitted the early warning signal to the DCS control system through hard wiring, while the prior art transmitted the alarm through a low-frequency wireless signal. The test process covered 20 tests, including 10 data collections under the prior art and 10 data recordings under the scheme of the present invention.

[0060] As shown in Table 1, the current deviation of the prior art is 0.18A on average, while the current deviation of the system of the present invention is only 0.08A on average, and the floating range of each data point is small, which shows that the present invention is more reliable in the accuracy and stability of current data acquisition. The lower current deviation value shows that the present invention can more sensitively capture the slight abnormality in the operation of the solenoid valve. The temperature average of the prior art at different test points is about 73°C, while the temperature control of the present invention is better, with an average of 60°C, reflecting the efficient heat dissipation and control ability of the present invention in temperature monitoring, so that the system can more accurately monitor the temperature changes inside the solenoid valve and minimize the risk of failure caused by excessive temperature. The prior art takes an average of 2.6 seconds to respond to abnormal conditions. Seconds, while the response time of the system of the present invention is 1.0 second on average, which is critical for rapid detection and response to sudden faults, especially in a power plant environment where emergency measures need to be taken quickly. Early warning of faults in a short period of time can significantly reduce the risk of equipment damage. The average signal stability of the system of the present invention reaches 96%, while the prior art is only 79%. Higher signal stability means that the system is more resistant to interference and can maintain the reliability of data transmission in more complex environments. The average early warning accuracy of the present invention reaches 92%, while the accuracy of the prior art is only 59%, indicating that the present invention has higher sensitivity and accuracy in fault prediction and identification, and can issue early warning signals earlier and more accurately, helping maintenance personnel to take timely measures.

[0061] Table 1 Experimental data table

[0062]

[0063]

[0064] Example 4

[0065] Reference Figure 3 , which is an embodiment of the present invention, provides a real-time monitoring and evaluation warning system for the health status of an AST solenoid valve, including: a data acquisition module, a status judgment module, and an early warning prompt module.

[0066] The data acquisition module is used to obtain real-time data of the solenoid valve coil; the state judgment module is used to identify the health characteristics of the solenoid valve through the first model built into the first device to determine the state of the solenoid valve; the early warning prompt module is used to issue early warning prompts based on abnormal output values ​​or parameters of the first model.

[0067] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0068] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0069] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0070] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc. It should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and are not limited. Although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

[0071] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for real-time monitoring and evaluation of the health status of a solenoid valve, characterized in that: include: Get real-time data of solenoid valve coil; Identify the health characteristics of the solenoid valve by using a first model built into the first device to determine the state of the solenoid valve; Provide early warning based on abnormal output values ​​or parameters of the first model.

2. The solenoid valve health status real-time monitoring and evaluation early warning method according to claim 1 is characterized in that: The obtaining of the real-time data of the solenoid valve coil includes presetting various parameters of the first device and collecting current parameters.

3. The method for real-time monitoring and evaluation of the health status of a solenoid valve according to claim 2, characterized in that: The obtaining of the real-time data of the solenoid valve coil also includes the second device monitoring the real-time temperature data of the solenoid valve coil and sending the collected temperature data to the first device.

4. The method for real-time monitoring and evaluation of the health status of a solenoid valve according to claim 3, characterized in that: The identification of the solenoid valve health characteristics includes collecting real-time current signals of a preset group of healthy state solenoid valves, processing and decomposing the current signals, obtaining multi-band characteristics, and determining sensitive characteristics of the solenoid valve current signals.

5. The solenoid valve health status real-time monitoring and evaluation early warning method according to claim 4, characterized in that: The state of the solenoid valve is determined by analyzing the historical curve based on the collected current value according to the change of the effective value of the current, and the state of the solenoid valve is determined and predicted.

6. The method for real-time monitoring and evaluation of the health status of a solenoid valve according to claim 5, characterized in that: The early warning prompt based on the first model output value or parameter abnormality includes first model analysis, processing and decomposing the current signal, bringing the acquired characteristic value into the first model, obtaining the first model output value, and performing graded alarm according to the measurement result.

7. The method for real-time monitoring and evaluation of the health status of a solenoid valve according to claim 6, characterized in that: The providing of early warning prompts based on the output value of the first model or the abnormal condition of the parameters also includes providing an alarm output based on the internal parameters and evaluation of the solenoid valve.

8. A system using the method for real-time monitoring and evaluation of the health status of a solenoid valve according to any one of claims 1 to 7, characterized in that: It includes data acquisition module, status judgment module and early warning prompt module; The data acquisition module is used to acquire real-time data of the solenoid valve coil; The state judgment module is used to identify the health characteristics of the solenoid valve through the first model built into the first device to judge the state of the solenoid valve; The early warning prompt module is used to issue an early warning prompt according to an abnormality in the output value or parameter of the first model.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for real-time monitoring and evaluation of the health status of a solenoid valve according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for real-time monitoring and evaluation of the health status of a solenoid valve according to any one of claims 1 to 7 are implemented.

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