Solenoid valve health state diagnosis method and system in gas transmission station and medium

Abstract

The invention discloses a method and a system for diagnosing the health state of an electromagnetic valve in a gas transmission station and a medium. The method comprises the following steps: acquiring electrical data and action environment data of a target electromagnetic valve in an action process in real time; constructing an electrical characteristic graph based on the electrical data after the external influence margin filling; and finally, performing fault analysis according to the electrical characteristic pattern to obtain a state diagnosis result of the target electromagnetic valve. Fault diagnosis of the electromagnetic valve can be achieved in time under the condition that a machine is not disassembled, meanwhile, external influence allowance filling is carried out on the electrical data based on action environment data, the action external influence factors of the current target electromagnetic valve are also considered in the working state of the target electromagnetic valve, the electrical data are more accurate, and the working efficiency of the target electromagnetic valve is improved. The accuracy of the state diagnosis result of the target electromagnetic valve is improved; in addition, the specific fault of the target electromagnetic valve is judged, and the fault position and the fault type can be mastered in time.

Description

Technical Field

[0001] This invention relates to the field of fault detection technology, specifically to a method, system, and medium for diagnosing the health status of solenoid valves in gas transmission stations. Background Technology

[0002] In gas transmission stations, gas-liquid linkage ball valves serve as critical automatic shut-off valves, playing a vital role in the safe operation and protection of gas pipelines. The solenoid valves within these valves are typically located internally, requiring disassembly for fault detection and maintenance. Electrical faults in solenoid valves primarily concern the stabilized current and voltage parameters, which can be easily detected using a multimeter during routine maintenance. However, mechanical faults in solenoid valves are extremely difficult to detect without disassembly, often overlooked during routine maintenance. Such mechanical failures can easily lead to valve malfunctions or actuator pressure buildup, posing significant safety hazards. Summary of the Invention

[0003] The technical problem to be solved by this invention is that mechanical faults of solenoid valves are extremely difficult to detect without disassembling the solenoid valves, and routine maintenance is easily overlooked. The purpose of this invention is to provide a method, system and medium for diagnosing the health status of solenoid valves in gas transmission stations. An electrical feature map is constructed by using electrical data of the target solenoid valve's operation process. Based on the electrical feature map, electrical and mechanical faults of the solenoid valve are diagnosed, enabling timely fault diagnosis of the solenoid valve without disassembly.

[0004] This invention is achieved through the following technical solution:

[0005] This solution provides a method for diagnosing the health status of solenoid valves in gas transmission stations, including:

[0006] Real-time acquisition of electrical data and operating environment data of the target solenoid valve during its operation;

[0007] The electrical data is preprocessed by filling the external influence margin based on the operating environment data.

[0008] Construct an electrical feature map based on the preprocessed electrical data;

[0009] Based on the electrical feature map, fault analysis is performed to obtain the status diagnosis results of the target solenoid valve.

[0010] The working principle of this solution is as follows: Mechanical faults in solenoid valves are extremely difficult to detect without disassembling the valve, and are easily overlooked during routine maintenance. The purpose of this invention is to provide a method, system, and medium for diagnosing the health status of solenoid valves in gas transmission stations. An electrical characteristic map is constructed using electrical data from the target solenoid valve's operation process. Based on this electrical characteristic map, electrical and mechanical faults of the solenoid valve are diagnosed, enabling timely fault diagnosis without disassembly. Furthermore, this solution also incorporates external influence margins into the electrical data based on the operating environment data, taking into account external factors affecting the current operation of the target solenoid valve, making the electrical data more accurate and improving the accuracy of the target solenoid valve's status diagnosis results.

[0011] This solution provides a novel technical concept: after filling the electrical data with external influence margins based on the operating environment data, the health status diagnosis of the target solenoid valve is performed. By taking the operating environment data of the target solenoid valve into the actual monitoring data, it is possible to predict faults in time before they occur due to delays caused by the operating environment, making it easier for operators to grasp the health status of the target solenoid valve in a timely and accurate manner.

[0012] A further optimization scheme is as follows: the electrical data includes: the current and voltage at different times during the operation of the target solenoid valve, and the current and voltage at different times within time period T2 after the target solenoid valve is operated; the operating environment data includes: the humidity, temperature, and pressure at different times during the operation of the target solenoid valve, and the number of times the target solenoid valve is operated within time period T.

[0013] A further optimization involves preprocessing the electrical data, including the following methods:

[0014] Abnormal data in the cleaning electrical data is fitted to identify data points in the abnormal data area to eliminate the abnormal data;

[0015] Based on the action environment data, the external influence margin Q of the environment on the solenoid valve in the pneumatic-hydraulic linkage valve at time t is calculated:

[0016] Determine whether the humidity, temperature, and pressure at time t all exceed the preset humidity range, preset temperature range, and preset pressure range, respectively. If any one of humidity, temperature, or pressure exceeds the preset range, set the environmental impact margin Q1 = (a + b + c) / 3. If any two of humidity, temperature, and pressure exceed the preset range, set the environmental impact margin Q1 = 2(a + b + c) / 3. If all three of humidity, temperature, and pressure exceed the preset range, set the environmental impact margin Q1 = a + b + c. Where a represents the humidity influence coefficient, b represents the temperature influence coefficient, and c represents the pressure influence coefficient.

[0017] The external influence margin Q is calculated based on the following formula:

[0018]

[0019] Based on the external influence margin Q, margin filling is performed on the cleaned electrical data: the external influence margin is normalized into current and voltage quantities respectively and then added to the electrical data at time t.

[0020] A further optimization scheme is as follows: the construction of the electrical feature map based on the preprocessed electrical data includes the following method: constructing a coordinate system with current as the vertical axis and time as the horizontal axis, and plotting the current characteristic curve of the target solenoid valve in the coordinate system based on the electrical data.

[0021] A further optimized solution is that the fault analysis based on the electrical feature map to obtain the state diagnosis result of the target solenoid valve includes the following method:

[0022] S1. Divide the current characteristic curve of the target solenoid valve according to the current trend to obtain the rising segment and the steady segment.

[0023] S2, Electrical fault determination based on stable segment: A stable current threshold range is preset. If the average current of the stable segment is not within the stable current threshold range, the target solenoid valve electrical fault is output.

[0024] S3, based on the rising segment, performs mechanical fault determination and outputs the mechanical fault determination result.

[0025] A further optimized solution is that step S3 includes the following sub-steps:

[0026] S31, obtain all current fluctuation regions in the rising segment, and record the current trough value and fluctuation peak value of each current fluctuation region;

[0027] S32, Based on the current trough value and the fluctuation peak value, determine the target current fluctuation region from all current fluctuation regions, and obtain the state parameters of the target current fluctuation region, the state parameters including: fluctuation time, fluctuation amplitude and current peak value;

[0028] S33 determines whether the target solenoid valve has a mechanical fault based on the state parameters of the target current fluctuation region, and outputs the type of mechanical fault.

[0029] A further optimized solution is that step S32 includes the following sub-steps:

[0030] T1, sort the current fluctuation regions from largest to smallest according to the fluctuation amplitude, and select the top n current fluctuation regions; n≥3;

[0031] T2, continuously superimposed the selected current fluctuation regions:

[0032] Determine if there is a continuous current fluctuation region after the current trough in the current fluctuation region. If so, superimpose all continuous current fluctuation regions with the current current fluctuation region to obtain the current current fluctuation region. (At this time, the fluctuation time of the target current fluctuation region is the time after superimposing all continuous current fluctuation regions with the current current fluctuation region, and the fluctuation amplitude is the difference between the current peak value of the current fluctuation region and the minimum current underestimation value in the continuous current fluctuation region.)

[0033] The continuous current fluctuation region includes: the current trough of the current fluctuation region serves as the starting point of the next current fluctuation region, the current peak value of the next current fluctuation region is less than the current peak value of the current fluctuation region, and the current trough of the next current fluctuation region is less than or equal to the current peak value of the current fluctuation region.

[0034] T3 uses the current fluctuation region with the largest fluctuation amplitude as the target current fluctuation region.

[0035] The further optimized solution is that step S33 includes the following sub-steps:

[0036] G1, preset the safe fluctuation range b and the safe fluctuation time range T. If the fluctuation range of the target current fluctuation area is within the safe fluctuation range b and the fluctuation time is within the safe fluctuation time range T, it is determined that the target solenoid valve has not experienced a mechanical failure.

[0037] G2, a current peak threshold range e is preset. When the current peak value in the target current fluctuation area is greater than the current peak threshold range e, the target solenoid valve core is determined to be stuck and the process proceeds to step G3. When the current peak value in the target current fluctuation area is less than the current peak threshold range e, the target solenoid valve spring is determined to be faulty.

[0038] G3, preset fluctuation amplitude threshold f. When the fluctuation amplitude of the target current fluctuation area is greater than the fluctuation amplitude threshold f, it is determined that the lower end of the target solenoid valve core is stuck. When the fluctuation amplitude of the target current fluctuation area is less than the fluctuation amplitude threshold f, it is determined that the upper end of the target solenoid valve core is stuck.

[0039] This solution also provides a health status diagnosis system for solenoid valves in gas transmission stations, used to implement the above-mentioned method for diagnosing the health status of solenoid valves in gas transmission stations. The system includes:

[0040] The data acquisition module is used to acquire electrical data and operating environment data of the target solenoid valve in real time during its operation.

[0041] The preprocessing module is used to preprocess the electrical data: fill the external influence margin of the electrical data based on the action environment data;

[0042] The construction module is used to build electrical feature maps based on preprocessed electrical data;

[0043] The fault analysis module is used to perform fault analysis based on the electrical feature map to obtain the status diagnosis results of the target solenoid valve.

[0044] This solution also provides a computer-readable medium storing a computer program, which, when executed by a processor, can implement the above-described method for diagnosing the health status of a solenoid valve in a gas transmission station.

[0045] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0046] This invention provides a method, system, and medium for diagnosing the health status of solenoid valves in gas transmission stations. It constructs an electrical characteristic map using electrical data from the target solenoid valve's operation process, and diagnoses electrical and mechanical faults of the solenoid valve based on this map. This allows for timely fault diagnosis of the solenoid valve without disassembling it. Furthermore, this solution also fills in the external influence margin of the electrical data based on the operating environment data, taking into account the external influencing factors of the target solenoid valve's current operation, making the electrical data more accurate and improving the accuracy of the target solenoid valve's status diagnosis results. In addition, this solution also determines the specific faults of the target solenoid valve, facilitating timely identification of the fault location and type. Attached Figure Description

[0047] To more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly described below. It should be understood that the following drawings only show some embodiments of the present invention and should not be considered as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort. In the drawings:

[0048] Figure 1 A schematic diagram of the health status diagnosis method for solenoid valves in a gas transmission station.

[0049] Figure 2 This is a schematic diagram of typical electrical characteristics;

[0050] Figure 3 Electrical characteristic diagrams for remote-controlled solenoid valves A5, A3, A6, A7, A11, and A12;

[0051] Figure 4 This is a magnified view of a portion of the lifting section of the remote-controlled solenoid valve A5.

[0052] Figure 5 This is a magnified view of a portion of the lifting section of the remote-controlled solenoid valve A3.

[0053] Figure 6 This is a magnified view of a portion of the lifting section of the remote-controlled solenoid valve A6.

[0054] Figure 7 This is a partial enlarged view of the lifting section of the remote-controlled solenoid valve A11;

[0055] Figure 8 This is a magnified view of a portion of the lifting section of the remote-controlled solenoid valve A12. Detailed Implementation

[0056] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the embodiments and accompanying drawings. The illustrative embodiments and descriptions of the present invention are only used to explain the present invention and are not intended to limit the present invention.

[0057] Mechanical failures of remote-controlled solenoid valves mainly include foreign object jamming and spring breakage. Depending on the location of the foreign object jamming, it can cause blockage or leakage in the solenoid valve's air passage; a broken spring will prevent the valve core from resetting when de-energized under venting conditions, thus preventing the gas-liquid tank from venting after the valve has completed its operation. This solution provides the following embodiments to address the above technical problems for remote-controlled solenoid valves:

[0058] Example 1

[0059] This embodiment provides a method for diagnosing the health status of solenoid valves in a gas transmission station, such as... Figure 1 As shown, it includes:

[0060] Step 1: Real-time acquisition of electrical and environmental data during the operation of the target solenoid valve. The electrical data includes: current and voltage at different times during the operation of the target solenoid valve, and current and voltage at different times within time period T2 after the target solenoid valve has operated. The environmental data includes: humidity, temperature, and pressure at different times during the operation of the target solenoid valve, and the number of times the target solenoid valve operates within time period T.

[0061] Step 2: Preprocess the electrical data: Fill the external influence margin in the electrical data based on the operating environment data; this step specifically includes the following methods:

[0062] S21, Clean the abnormal data in the electrical data, and fit the abnormal data area data points to eliminate the abnormal data;

[0063] S22, Calculate the external influence margin Q of the environment on the solenoid valve in the pneumatic-hydraulic linkage valve at time t based on the action environment data:

[0064] Determine whether the humidity, temperature, and pressure at time t all exceed the preset humidity range, preset temperature range, and preset pressure range, respectively. If any one of humidity, temperature, or pressure exceeds the preset range, set the environmental impact margin Q1 = (a + b + c) / 3. If any two of humidity, temperature, and pressure exceed the preset range, set the environmental impact margin Q1 = 2(a + b + c) / 3. If all three of humidity, temperature, and pressure exceed the preset range, set the environmental impact margin Q1 = a + b + c. Where a represents the humidity influence coefficient, b represents the temperature influence coefficient, and c represents the pressure influence coefficient.

[0065] The external influence margin Q is calculated based on the following formula:

[0066]

[0067] S23, based on the external influence margin Q, perform margin filling on the cleaned electrical data: normalize the external influence margin into current and voltage quantities respectively, and add them to the electrical data at time t respectively.

[0068] Step 3: Construct an electrical feature map based on the preprocessed electrical data; the construction of the electrical feature map based on the preprocessed electrical data includes the following method: constructing a coordinate system with current as the vertical axis and time as the horizontal axis, and plotting the current characteristic curve of the target solenoid valve in the coordinate system based on the electrical data.

[0069] Step 4: Based on the electrical characteristic map, perform fault analysis to obtain the status diagnosis results of the target solenoid valve; specifically including the following methods:

[0070] S1, divide the current characteristic curve of the target solenoid valve according to the current trend to obtain the rising segment and the steady segment; a typical current characteristic curve is as follows: Figure 2 As shown, although the rising segment is very short, there will be a lot of current jitter during the rising segment. Analyzing these current jitter processes can well reflect the working state and fault state of the solenoid valve.

[0071] S2, Electrical fault determination based on stable segment: A stable current threshold range is preset. If the average current of the stable segment is not within the stable current threshold range, the target solenoid valve electrical fault is output.

[0072] Furthermore, the extent to which the average current during the steady-state period exceeds the steady-state current threshold range can also be used to determine the degree of short circuit, such as... Figure 2 As shown, in this embodiment, the stable current threshold range is 105mA-120mA. The average current of the green stable segment just exceeds the stable current threshold range, corresponding to a minor short circuit; the average current of the red stable segment exceeds the stable current threshold range by a large margin, corresponding to a severe short circuit; and the average current of the blue stable segment exceeds the stable current threshold range the most, corresponding to a complete short circuit.

[0073] S3, based on the rising segment, performs mechanical fault determination and outputs the mechanical fault determination result.

[0074] Step S3 includes the following sub-steps:

[0075] S31, obtain all current fluctuation regions in the rising segment, and record the current trough value and fluctuation peak value of each current fluctuation region;

[0076] S32, Based on the current trough value and the fluctuation peak value, determine the target current fluctuation region from all current fluctuation regions, and obtain the state parameters of the target current fluctuation region, the state parameters including: fluctuation time, fluctuation amplitude and current peak value;

[0077] Step S32 includes the following sub-steps:

[0078] T1, sort the current fluctuation regions from largest to smallest according to the fluctuation amplitude, and select the top n current fluctuation regions; n≥3;

[0079] T2, continuously superimposed the selected current fluctuation regions:

[0080] Determine if there is a continuous current fluctuation region after the current trough in the current fluctuation region. If so, superimpose all continuous current fluctuation regions with the current current fluctuation region to obtain the current current fluctuation region. (At this time, the fluctuation time of the target current fluctuation region is the time after superimposing all continuous current fluctuation regions with the current current fluctuation region, and the fluctuation amplitude is the difference between the current peak value of the current fluctuation region and the minimum current underestimation value in the continuous current fluctuation region.)

[0081] The continuous current fluctuation region includes: the current trough of the current fluctuation region serves as the starting point of the next current fluctuation region, the current peak value of the next current fluctuation region is less than the current peak value of the current fluctuation region, and the current trough of the next current fluctuation region is less than or equal to the current peak value of the current fluctuation region.

[0082] T3 uses the current fluctuation region with the largest fluctuation amplitude as the target current fluctuation region.

[0083] S33, based on the state parameters of the target current fluctuation region, determines whether the target solenoid valve has experienced a mechanical fault, and outputs the type of mechanical fault. Step S33 includes the following sub-steps:

[0084] G1, preset the safe fluctuation range b and the safe fluctuation time range T. If the fluctuation range of the target current fluctuation area is within the safe fluctuation range b and the fluctuation time is within the safe fluctuation time range T, it is determined that the target solenoid valve has not experienced a mechanical failure.

[0085] G2, a current peak threshold range e is preset. When the current peak value in the target current fluctuation area is greater than the current peak threshold range e, the target solenoid valve core is determined to be stuck and the process proceeds to step G3. When the current peak value in the target current fluctuation area is less than the current peak threshold range e, the target solenoid valve spring is determined to be faulty.

[0086] G3, preset fluctuation amplitude threshold f. When the fluctuation amplitude of the target current fluctuation area is greater than the fluctuation amplitude threshold f, it is determined that the lower end of the target solenoid valve core is stuck. When the fluctuation amplitude of the target current fluctuation area is less than the fluctuation amplitude threshold f, it is determined that the upper end of the target solenoid valve core is stuck.

[0087] This embodiment constructs an electrical feature map using electrical data from the target solenoid valve's operation process. Based on this electrical feature map, electrical and mechanical faults of the solenoid valve are diagnosed, enabling timely fault diagnosis without disassembling the valve. Furthermore, this solution also determines the specific fault of the target solenoid valve (specifically, whether it is lower valve core jamming, upper valve core jamming, or spring failure), facilitating timely identification of the fault location and type.

[0088] Example 2

[0089] This embodiment provides a health status diagnosis system for solenoid valves in a gas transmission station, characterized in that it is used to implement the health status diagnosis method for solenoid valves in a gas transmission station according to Embodiment 1, the system comprising:

[0090] The data acquisition module is used to acquire electrical data and operating environment data of the target solenoid valve in real time during its operation.

[0091] The preprocessing module is used to preprocess the electrical data: fill the external influence margin of the electrical data based on the action environment data;

[0092] The construction module is used to build electrical feature maps based on preprocessed electrical data;

[0093] The fault analysis module is used to perform fault analysis based on the electrical feature map to obtain the status diagnosis results of the target solenoid valve.

[0094] Example 3

[0095] This embodiment provides a computer-readable medium storing a computer program, which, when executed by a processor, can implement a method for diagnosing the health status of a solenoid valve in a gas transmission station as described in Embodiment 1. Specifically, the following steps are performed:

[0096] Step 1: Real-time acquisition of electrical data during the operation of the target solenoid valve; the electrical data includes: current and voltage at different times during the operation of the target solenoid valve, and current and voltage at different times within time period T2 after the target solenoid valve is operated.

[0097] Step 2: Preprocess the electrical data: Fill the external influence margin in the electrical data based on the action environment data;

[0098] Step 3: Construct an electrical feature map based on the preprocessed electrical data; the construction of the electrical feature map based on the preprocessed electrical data includes the following method: constructing a coordinate system with current as the vertical axis and time as the horizontal axis, and plotting the current characteristic curve of the target solenoid valve in the coordinate system based on the electrical data.

[0099] Specifically, this embodiment performs health status diagnosis on multiple sets of remote-controlled solenoid valves in a gas transmission station. First, it collects electrical data of each remote-controlled solenoid valve during the remote closing process in real time. Based on this electrical data, it constructs an electrical characteristic map and performs fault analysis based on the electrical characteristic map.

[0100] The electrical characteristic diagrams of representative remote-controlled solenoid valves are selected for display.

[0101] like Figure 3 The diagram shown is an electrical characteristic diagram of remote-controlled solenoid valves A5, A3, A6, A7, A11, and A12. A magnified view of the rising section is shown below. Figures 4-8 As shown;

[0102] In this embodiment, based on experience, the current peak threshold range e is preset to (95mA, 97mA), the safe fluctuation range b is (17.05mA, 19.05mA), the safe fluctuation time range T is (0.008s, 0.009s), and the fluctuation amplitude threshold f is the safe fluctuation range b. When the fluctuation amplitude of the target current fluctuation area is greater than the upper limit of the safe fluctuation range b, it is determined that the lower end of the target solenoid valve core is stuck. When the fluctuation amplitude of the target current fluctuation area is less than the lower limit of the safe fluctuation range b, it is determined that the upper end of the target solenoid valve core is stuck.

[0103] A partial enlarged view of the lifting section of the remote-controlled solenoid valve A5 is shown below. Figure 4 As shown, there are several obvious current fluctuation regions. The first current fluctuation region and the subsequent current fluctuation regions have smaller fluctuation amplitudes, while the second current fluctuation region has a larger fluctuation amplitude. Moreover, the multiple current fluctuation regions after the second current fluctuation region are all continuous current fluctuation regions. Therefore, the superposition of the second current fluctuation region and the multiple current fluctuation regions after it constitutes the target current fluctuation region.

[0104] The fluctuation amplitude of the target current fluctuation area of ​​the remote control solenoid valve A5 is 18.05mA, which is within the safe fluctuation amplitude range b; the fluctuation time is 0.0086s, which is within the safe fluctuation time range T; it is determined that the target solenoid valve has not experienced a mechanical failure; the peak current of the target current fluctuation area is 96.431mA, which is within the current peak threshold range e; since the fluctuation amplitude of the target current fluctuation area of ​​the remote control solenoid valve A5 is already within the safe fluctuation amplitude range b, it is not necessary to determine whether the lower end is stuck.

[0105] A partial enlarged view of the lifting section of the remote-controlled solenoid valve A3 is shown below. Figure 5 As shown, there are several obvious current fluctuation regions. The first current fluctuation region and the subsequent current fluctuation regions have smaller fluctuation amplitudes, while the second current fluctuation region has a larger fluctuation amplitude. Furthermore, the multiple current fluctuation regions after the second current fluctuation region are all continuous current fluctuation regions. Therefore, the superposition of the second current fluctuation region and the multiple current fluctuation regions after it constitutes the target current fluctuation region.

[0106] The fluctuation amplitude of the target current fluctuation area of ​​the remote control solenoid valve A3 is 7.752mA, which is not within the safe fluctuation amplitude range b; the fluctuation time is 0.005s, which is also not within the safe fluctuation time range T; therefore, the target solenoid valve is determined to have a mechanical failure; the peak current of the target current fluctuation area is 97.2mA, which is higher than the current peak threshold range e, therefore, the target solenoid valve core is determined to be stuck; and the fluctuation amplitude of the target current fluctuation area is greater than the upper limit of the safe fluctuation amplitude range b, therefore, the upper end of the target solenoid valve core is determined to be stuck.

[0107] A partial enlarged view of the lifting section of the remote-controlled solenoid valve A6 is shown below. Figure 6 As shown, there are several obvious current fluctuation areas. The current fluctuation area in the figure has a large fluctuation amplitude and is identified as the target current fluctuation area.

[0108] The fluctuation amplitude of the target current fluctuation area of ​​the remote control solenoid valve A6 is 2.6815mA, which is not within the safe fluctuation amplitude range b; the fluctuation time is 0.0032s, which is also not within the safe fluctuation time range T; therefore, the target solenoid valve is determined to have a mechanical failure; the peak current of the target current fluctuation area is 99.25mA, which is higher than the current peak threshold range e, therefore, the target solenoid valve core is determined to be stuck; and the fluctuation amplitude of the target current fluctuation area is greater than the upper limit of the safe fluctuation amplitude range b, therefore, the upper end of the target solenoid valve core is determined to be stuck.

[0109] A partial enlarged view of the lifting section of the remote-controlled solenoid valve A11 is shown below. Figure 7As shown, the fluctuation amplitude of the target current fluctuation area of ​​the remote control solenoid valve A11 is 17.0007mA, which is not within the safe fluctuation amplitude range b; the fluctuation time is 0.0064s, which is also not within the safe fluctuation time range T; it is determined that the target solenoid valve has a mechanical failure; the current peak value of the target current fluctuation area is 97.5mA, which is higher than the current peak value threshold range e, so it is determined that the target solenoid valve core is stuck; and the fluctuation amplitude of the target current fluctuation area is less than the upper limit of the safe fluctuation amplitude range b, so it is determined that the lower end of the target solenoid valve core is stuck.

[0110] A partial enlarged view of the lifting section of the remote-controlled solenoid valve A12 is shown below. Figure 8 As shown, the fluctuation amplitude of the target current fluctuation area of ​​the remote control solenoid valve A12 is 13.2331mA, which is not within the safe fluctuation amplitude range b; the fluctuation time is 0.0062s, which is also not within the safe fluctuation time range T; it is determined that the target solenoid valve has a mechanical failure; the current peak value of the target current fluctuation area is 86.5336mA, which is lower than the current peak value threshold range e, therefore it is determined that the target solenoid valve spring is broken.

[0111] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for diagnosing the health status of solenoid valves in a gas transmission station, characterized in that, include: Real-time acquisition of electrical data and operating environment data of the target solenoid valve during its operation; The electrical data is preprocessed by filling the external influence margin based on the operating environment data. Construct an electrical feature map based on the preprocessed electrical data; Based on the electrical feature map, fault analysis is performed to obtain the status diagnosis results of the target solenoid valve.

2. The method for diagnosing the health status of a solenoid valve in a gas transmission station according to claim 1, characterized in that, The electrical data includes: current and voltage at different times during the operation of the target solenoid valve, and current and voltage at different times within time period T2 after the target solenoid valve operates; the operating environment data includes: humidity, temperature, and pressure at different times during the operation of the target solenoid valve, the total number of times the target solenoid valve operates N, and the number of times the target solenoid valve operates n within time period T from the current time.

3. The method for diagnosing the health status of a solenoid valve in a gas transmission station according to claim 2, characterized in that, Electrical data preprocessing, including methods: Abnormal data in the cleaning electrical data; Based on the action environment data, the external influence margin Q of the environment on the solenoid valve in the pneumatic-hydraulic linkage valve at time t is calculated: Determine whether the humidity, temperature, and pressure at time t all exceed the preset humidity range, preset temperature range, and preset pressure range, respectively. If any one of humidity, temperature, or pressure exceeds the preset range, set the environmental impact margin Q1 = (a + b + c) / 3. If any two of humidity, temperature, and pressure exceed the preset range, set the environmental impact margin Q1 = 2(a + b + c) / 3. If all three of humidity, temperature, and pressure exceed the preset range, set the environmental impact margin Q1 = a + b + c. Where a represents the humidity influence coefficient, b represents the temperature influence coefficient, and c represents the pressure influence coefficient. The external influence margin Q is calculated based on the following formula: Based on the external influence margin Q, margin filling is performed on the cleaned electrical data: the external influence margin is normalized into current and voltage quantities respectively and then added to the electrical data at time t.

4. The method for diagnosing the health status of a solenoid valve in a gas transmission station according to claim 2, characterized in that, The method for constructing an electrical feature map based on preprocessed electrical data includes: constructing a coordinate system with current as the vertical axis and time as the horizontal axis, and plotting the current characteristic curve of the target solenoid valve in the coordinate system based on the electrical data.

5. The method for diagnosing the health status of a solenoid valve in a gas transmission station according to claim 1, characterized in that, The method for obtaining the state diagnosis result of the target solenoid valve by fault analysis based on the electrical feature map includes: S1. Divide the current characteristic curve of the target solenoid valve according to the current trend to obtain the rising segment and the steady segment. S2, Electrical fault determination based on stable segment: A stable current threshold range is preset. If the average current of the stable segment is not within the stable current threshold range, the target solenoid valve electrical fault is output. S3, based on the rising segment, performs mechanical fault determination and outputs the mechanical fault determination result.

6. The method for diagnosing the health status of a solenoid valve in a gas transmission station according to claim 5, characterized in that, Step S3 includes the following sub-steps: S31, obtain all current fluctuation regions in the rising segment, and record the current trough value and fluctuation peak value of each current fluctuation region; S32, Based on the current trough value and the fluctuation peak value, determine the target current fluctuation region from all current fluctuation regions, and obtain the state parameters of the target current fluctuation region, the state parameters including: fluctuation time, fluctuation amplitude and current peak value; S33 determines whether the target solenoid valve has a mechanical fault based on the state parameters of the target current fluctuation region, and outputs the type of mechanical fault.

7. The method for diagnosing the health status of a solenoid valve in a gas transmission station according to claim 6, characterized in that, Step S32 includes the following sub-steps: T1, sort the current fluctuation regions from largest to smallest according to the fluctuation amplitude, and select the top n current fluctuation regions; n≥3; T2, continuously superimposed the selected current fluctuation regions: Determine whether there is a continuous current fluctuation region after the current trough in the current fluctuation region. If so, superimpose all continuous current fluctuation regions with the current current fluctuation region to obtain the current current fluctuation region. The continuous current fluctuation region includes: the current trough of the current fluctuation region serves as the starting point of the next current fluctuation region, the current peak value of the next current fluctuation region is less than the current peak value of the current fluctuation region, and the current trough of the next current fluctuation region is less than or equal to the current peak value of the current fluctuation region. T3 uses the current fluctuation region with the largest fluctuation amplitude as the target current fluctuation region.

8. The method for diagnosing the health status of a solenoid valve in a gas transmission station according to claim 5, characterized in that, Step S33 includes the following sub-steps: G1, preset the safe fluctuation range b and the safe fluctuation time range T. If the fluctuation range of the target current fluctuation area is within the safe fluctuation range b and the fluctuation time is within the safe fluctuation time range T, it is determined that the target solenoid valve has not experienced a mechanical failure. G2, a current peak threshold range e is preset. When the current peak value in the target current fluctuation area is greater than the current peak threshold range e, the target solenoid valve core is determined to be stuck and the process proceeds to step G3. When the current peak value in the target current fluctuation area is less than the current peak threshold range e, the target solenoid valve spring is determined to be faulty. G3, preset fluctuation amplitude threshold f. When the fluctuation amplitude of the target current fluctuation area is greater than the fluctuation amplitude threshold f, it is determined that the lower end of the target solenoid valve core is stuck. When the fluctuation amplitude of the target current fluctuation area is less than the fluctuation amplitude threshold f, it is determined that the upper end of the target solenoid valve core is stuck.

9. A health status diagnosis system for solenoid valves in a gas transmission station, characterized in that, The system is used to implement the method for diagnosing the health status of a solenoid valve in a gas transmission station as described in any one of claims 1-8, the system comprising: The data acquisition module is used to acquire electrical data and operating environment data of the target solenoid valve in real time during its operation. The preprocessing module is used to preprocess the electrical data: fill the external influence margin of the electrical data based on the action environment data; The drawing module is used to construct electrical feature maps based on preprocessed electrical data; The fault analysis module is used to perform fault analysis based on the electrical feature map to obtain the status diagnosis results of the target solenoid valve.

10. A computer-readable medium having a computer program stored thereon, characterized in that, The computer program, when executed by a processor, can implement a method for diagnosing the health status of solenoid valves in a gas transmission station as described in any one of claims 1-8.

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