Gas meter circuit board detection method, system, device and medium

Abstract

The present application relates to the technical field of metering instruments, and in particular to a gas meter circuit board detection method, system, equipment and medium, the method comprising: obtaining design parameter information and detection standard information of the gas meter circuit board, dividing the gas meter circuit board into sections according to the production nodes according to the design parameter information and the detection standard information, obtaining node section information, collecting circuit board abnormality information that occurs during production detection of the gas meter circuit board and during a preset time period of application, performing abnormal cycle analysis on the node section information and circuit board abnormality information, obtaining abnormal sampling period and abnormal sampling items, and when it is detected that the current time point coincides with the abnormal sampling period, determining the detection parameter information of the current gas meter circuit board, and detecting the detection parameter information based on the detection standard information and the abnormal sampling items to obtain the circuit board detection result. The present application improves the quality detection efficiency of gas meter circuit boards.

Description

Technical Field

[0001] The present application relates to the technical field of metering instruments, and in particular to a gas meter circuit board detection method, system, equipment and medium. Background Art

[0002] In modern gas supply systems, gas meters are key devices for measuring and controlling gas flow. Their stability and reliability are of great significance for ensuring gas supply safety and improving management efficiency. As its core component, the circuit board of the gas meter is responsible for receiving, processing and transmitting data, controlling key operations such as the opening and closing of gas valves. Therefore, efficient and accurate detection of the gas meter circuit board is an important part of ensuring the normal operation of the gas meter.

[0003] The traditional gas meter circuit board detection method mainly relies on manual operation, which is to manually insert or remove the connector, observe the indicator light on the circuit board and measure parameters such as voltage and current to determine whether the circuit board is normal. However, this method has many shortcomings. First, manual detection is inefficient and cannot meet the needs of large-scale production and rapid detection. Secondly, errors are easily introduced during the manual detection process, and due to factors such as the operator's experience and attention, the test results may be inaccurate. In addition, manual detection is difficult to effectively detect complex circuits and minor faults inside the circuit board, and there are detection blind spots.

[0004] In order to overcome the shortcomings of traditional detection methods, circuit board detection methods based on automation and intelligence have emerged in recent years. For example, there is a public GPRS household gas meter circuit board detection method and detection system, which realizes automatic detection of the circuit board by sending detection instructions to the circuit board and receiving feedback signals. This method improves the detection efficiency, but in the actual production and detection process, the detection of gas meter circuit boards is carried out in large batches. If all detection items are detected and judged for each gas meter circuit board, there is a defect of large time consumption, but if all detection items are not detected and judged for each gas meter circuit board, there is a defect of insufficient detection quality. Therefore, how to achieve high-efficiency detection of gas meter circuit boards has become a problem to be solved urgently. Summary of the invention

[0005] In order to solve at least one of the above-mentioned technical problems, the present application provides a gas meter circuit board detection method, system, device and medium.

[0006] In a first aspect, the present application provides a gas meter circuit board detection method, which adopts the following technical solution:

[0007] Acquire design parameter information and testing standard information of the gas meter circuit board in the historical period, wherein the design parameter information is the assembly component parameter information contained in each node of the gas meter circuit board during the production process and the line connection information between the assembly components, and the testing standard information is the testing items corresponding to each node of the gas meter circuit board during the production process and the standard data range corresponding to the testing items;

[0008] Divide the gas meter circuit board into sections according to the production nodes according to the design parameter information and the detection standard information to obtain node section information;

[0009] Collecting circuit board abnormality information of the gas meter circuit board during production inspection and during a preset time period of application in the historical period;

[0010] Perform abnormal period analysis on the node plate information and the circuit board abnormal information to obtain the abnormal sampling period and abnormal sampling items of the gas meter circuit board;

[0011] When it is detected that the current time point coincides with the abnormal sampling period, the detection parameter information of the current gas meter circuit board is determined, and the detection parameter information is detected based on the detection standard information and the abnormal sampling items to obtain the circuit board detection result.

[0012] By adopting the above technical solution, the design parameter information and detection standard information of the gas meter circuit board in the historical period are obtained, wherein the design parameter information is the assembly component parameter information contained in each node of the gas meter circuit board during the production process and the line connection information between the assembly components, and the detection standard information is the detection item corresponding to each node of the gas meter circuit board during the production process and the standard data range corresponding to the detection item, which provides a solid data basis for subsequent analysis. According to the design parameter information and the detection standard information, the gas meter circuit board is divided into sections according to the production node to obtain the node section information, which is helpful to accurately locate potential problems. The abnormal information of the circuit board in the production detection and application during the historical period is collected, and the abnormal period analysis is performed in combination with the node section information. Thereby, the high-risk period and the problem-prone items of the gas meter circuit board are identified, that is, the abnormal sampling period and the abnormal sampling items. This not only reduces blind detection, but also improves detection efficiency. When the system detects that the current time point coincides with the abnormal sampling period, the detection parameter information of the current gas meter circuit board is determined, and targeted detection is performed based on the established detection standard information and abnormal sampling items. It can quickly and accurately detect whether a representative gas meter circuit board is abnormal or not, ensuring the validity and reliability of the circuit board detection results, while improving the overall detection efficiency and quality of the gas meter circuit board.

[0013] In a possible implementation, the gas meter circuit board is divided into sections according to the production nodes according to the design parameter information and the detection standard information to obtain node section information, including:

[0014] Determine the assembly batch of each gas meter circuit board and the assembly order of components corresponding to each assembly batch based on the design parameter information, and divide the gas meter circuit boards in the design parameter information into groups according to the assembly batches to obtain circuit board detection groups;

[0015] According to the component assembly order and the detection standard information, the gas meter circuit board corresponding to each circuit board detection group is divided into assembly blocks to obtain node block information.

[0016] In a possible implementation, an abnormal period analysis is performed on the node plate information and the circuit board abnormal information to obtain an abnormal sampling period and abnormal sampling items of the gas meter circuit board, including:

[0017] Analyze the node plate information to determine assembly components of different node plates in the node plate information and component data corresponding to the assembly components;

[0018] Based on the assembly components and the component data, unsupervised time series data sorting is performed on the node plate information to obtain first matrix data;

[0019] Analyze the circuit board abnormality information to determine abnormal component nodes of different gas meter circuit boards in the circuit board abnormality information and node abnormality data of the abnormal component nodes;

[0020] Based on the abnormal component nodes and the node abnormal data, unsupervised time series data sorting is performed on the abnormal information of the circuit board to obtain second matrix data;

[0021] The first matrix data and the second matrix data are integrated according to the corresponding conditions of the components, and the data distribution of the integrated third matrix data is explored to obtain the periodic law of abnormal data bursts of the assembled components of different plate nodes in the gas meter circuit board under different application durations;

[0022] Determine the time period length and the abnormal burst data corresponding to the time period length based on the periodic law;

[0023] The time period length and the abnormal burst data are correlated and summarized to obtain the abnormal sampling inspection period and abnormal sampling inspection items of the gas meter circuit board.

[0024] In a possible implementation, determining the detection parameter information of the current gas meter circuit board includes:

[0025] Obtaining production information of assembly components corresponding to each processing node in the gas meter circuit board;

[0026] Based on the production information, determine the quantity of the assembly components to be produced within a preset time period before the production of the gas meter circuit board and the component production machine number group corresponding to the production numbers of each assembly component, the component production machine number group includes: the production machine numbers corresponding to each production and processing step of the assembly components, each production number of the assembly components corresponds to a production machine number in a production and processing step, and the production number of the assembly components is a unique identifier of the assembly components produced before mass production;

[0027] Performing random analysis on the number to be produced and the number group of the component production machine to obtain the number to be tested, and the assembly components corresponding to the number to be tested are the randomly selected samples;

[0028] A target gas meter circuit board using the assembly components corresponding to the to-be-detected number is determined in the to-be-detected gas meter circuit board set, and the target gas meter circuit board is defined as the current gas meter circuit board.

[0029] In a possible implementation, the number to be produced and the number group of the component production machine are randomly selected and analyzed to obtain the number to be tested, including:

[0030] Determine the number of components to be inspected based on the number to be produced, and determine a first component number from the production numbers of each assembly component, the first component number being the number of the first assembly component to be inspected;

[0031] Determine the component production machine number group corresponding to the first component number as the target number group;

[0032] Obtaining the production machine numbers corresponding to the assembly components of the gas meter circuit board in each process, and determining a sample number group based on the production machine numbers corresponding to the various processes and the target number group, wherein at least one production machine number in the sample number group is different from the production machine number in the target number group;

[0033] Determine the second component number corresponding to each sample number group based on the sample number group, the sampling quantity, and the production machine number group corresponding to each assembly component number;

[0034] The first component number and the second component number are summed up to obtain a number to be detected.

[0035] In a possible implementation, based on the sample number group, the sampling quantity, and the production machine number group corresponding to each assembly component number, determining the second component number corresponding to each sample number group includes:

[0036] Compare each of the sample number groups with the target number group to determine a priority weight corresponding to each of the sample number groups, wherein the priority weight is used to characterize the quantity priority of different numbers in the sample number group and the target number group;

[0037] Sorting the sample number groups according to the priority weights to obtain sorted sample number groups, and determining a corresponding second component number in each sample number group in turn according to the sorting order until the number of second component numbers is one less than the number of random inspections;

[0038] If after all sample number groups are matched, the number of second component numbers is at least 2 less than the sampling number, the step of determining a second component number corresponding to the next sample number group in sequence is repeated until the number of second component numbers is 1 less than the sampling number.

[0039] In a possible implementation, the detection parameter information is detected based on the detection standard information and the abnormal sampling items to obtain a circuit board detection result, and then the method further includes:

[0040] When the circuit board detection result is normal, obtaining the circuit board application data of the gas meter circuit board within the preset application time;

[0041] Determine whether there is any abnormality in the application behavior of the application personnel according to the circuit board application data, and if not, monitor and judge the circuit board application data to determine whether there are other abnormalities that are inconsistent with the abnormalities corresponding to the abnormal sampling items;

[0042] If other abnormalities that are inconsistent with the abnormalities corresponding to the abnormal sampling items occur, the sampling items corresponding to the other abnormalities are determined, and the sampling items are added to the abnormal sampling items to obtain the added abnormal sampling items.

[0043] In a second aspect, the present application provides a gas meter circuit board detection system, which adopts the following technical solution:

[0044] A gas meter circuit board detection system, comprising:

[0045] An information acquisition module, used to acquire design parameter information and test standard information of a gas meter circuit board in a historical period, wherein the design parameter information is assembly component parameter information contained in each node of the gas meter circuit board during the production process and line connection information between assembly components, and the test standard information is the test items corresponding to each node of the gas meter circuit board during the production process and the standard data range corresponding to the test items;

[0046] A plate division module, used to divide the gas meter circuit board into plates according to the production nodes according to the design parameter information and the detection standard information, and obtain node plate information;

[0047] An information collection module, used to collect circuit board abnormality information of the gas meter circuit board during production inspection and during a preset time period of application in the historical period;

[0048] A periodic analysis module, used to perform abnormal periodic analysis on the node plate information and the circuit board abnormal information, and obtain the abnormal sampling period and abnormal sampling items of the gas meter circuit board;

[0049] The information detection module is used to determine the detection parameter information of the current gas meter circuit board when it is detected that the current time point coincides with the abnormal sampling period, and detect the detection parameter information based on the detection standard information and the abnormal sampling items to obtain the circuit board detection result.

[0050] In a possible implementation, when the plate division module divides the gas meter circuit board into plates according to the production nodes according to the design parameter information and the detection standard information to obtain the node plate information, it is specifically used to:

[0051] Determine the assembly batch of each gas meter circuit board and the assembly order of components corresponding to each assembly batch based on the design parameter information, and divide the gas meter circuit boards in the design parameter information into groups according to the assembly batches to obtain circuit board detection groups;

[0052] According to the component assembly order and the detection standard information, the gas meter circuit board corresponding to each circuit board detection group is divided into assembly blocks to obtain node block information.

[0053] In another possible implementation, when the cycle analysis module performs abnormal cycle analysis on the node plate information and the circuit board abnormal information to obtain the abnormal sampling period and abnormal sampling items of the gas meter circuit board, it is specifically used to:

[0054] Analyze the node plate information to determine assembly components of different node plates in the node plate information and component data corresponding to the assembly components;

[0055] Based on the assembly components and the component data, unsupervised time series data sorting is performed on the node plate information to obtain first matrix data;

[0056] Analyze the circuit board abnormality information to determine abnormal component nodes of different gas meter circuit boards in the circuit board abnormality information and node abnormality data of the abnormal component nodes;

[0057] Based on the abnormal component nodes and the node abnormal data, unsupervised time series data sorting is performed on the abnormal information of the circuit board to obtain second matrix data;

[0058] The first matrix data and the second matrix data are integrated according to the corresponding conditions of the components, and the data distribution of the integrated third matrix data is explored to obtain the periodic law of abnormal data bursts of the assembled components of different plate nodes in the gas meter circuit board under different application durations;

[0059] Determine the time period length and the abnormal burst data corresponding to the time period length based on the periodic law;

[0060] The time period length and the abnormal burst data are correlated and summarized to obtain the abnormal sampling inspection period and abnormal sampling inspection items of the gas meter circuit board.

[0061] In another possible implementation, when determining the detection parameter information of the current gas meter circuit board, the information detection module is specifically used to:

[0062] Obtaining production information of assembly components corresponding to each processing node in the gas meter circuit board;

[0063] Based on the production information, determine the quantity of the assembly components to be produced within a preset time period before the production of the gas meter circuit board and the component production machine number group corresponding to the production numbers of each assembly component, the component production machine number group includes: the production machine numbers corresponding to each production and processing step of the assembly components, each production number of the assembly components corresponds to a production machine number in a production and processing step, and the production number of the assembly components is a unique identifier of the assembly components produced before mass production;

[0064] Performing random analysis on the number to be produced and the number group of the component production machine to obtain the number to be tested, and the assembly components corresponding to the number to be tested are the randomly selected samples;

[0065] A target gas meter circuit board using the assembly components corresponding to the to-be-detected number is determined in the to-be-detected gas meter circuit board set, and the target gas meter circuit board is defined as the current gas meter circuit board.

[0066] In another possible implementation, when the information detection module performs random analysis on the quantity to be produced and the component production machine number group to obtain the number to be detected, it is specifically used to:

[0067] Determine the number of components to be inspected based on the number to be produced, and determine a first component number from the production numbers of each assembly component, the first component number being the number of the first assembly component to be inspected;

[0068] Determine the component production machine number group corresponding to the first component number as the target number group;

[0069] Obtaining the production machine numbers corresponding to the assembly components of the gas meter circuit board in each process, and determining a sample number group based on the production machine numbers corresponding to the various processes and the target number group, wherein at least one production machine number in the sample number group is different from the production machine number in the target number group;

[0070] Determine the second component number corresponding to each sample number group based on the sample number group, the sampling quantity, and the production machine number group corresponding to each assembly component number;

[0071] The first component number and the second component number are summed up to obtain a number to be detected.

[0072] In another possible implementation, when the information detection module determines the second component numbers corresponding to each sample number group based on the sample number group, the sampling quantity, and the production machine number groups corresponding to each assembly component number, the information detection module is specifically used to:

[0073] Compare each of the sample number groups with the target number group to determine a priority weight corresponding to each of the sample number groups, wherein the priority weight is used to characterize the quantity priority of different numbers in the sample number group and the target number group;

[0074] Sorting the sample number groups according to the priority weights to obtain sorted sample number groups, and determining a corresponding second component number in each sample number group in turn according to the sorting order until the number of second component numbers is one less than the number of random inspections;

[0075] If after all sample number groups are matched, the number of second component numbers is at least 2 less than the sampling number, the step of determining a second component number corresponding to the next sample number group in sequence is repeated until the number of second component numbers is 1 less than the sampling number.

[0076] In another possible implementation, the system further includes: a data acquisition module, a behavior detection module, and a sampling update module, wherein:

[0077] The data source acquisition module is used to acquire the circuit board application data of the gas meter circuit board within the preset application time when the circuit board detection result is normal;

[0078] The behavior detection module is used to determine whether there is any abnormality in the application behavior of the application personnel according to the circuit board application data. If not, the circuit board application data is monitored and judged to determine whether there are other abnormalities that are inconsistent with the abnormalities corresponding to the abnormal sampling items.

[0079] The sampling update module is used to determine the sampling items corresponding to the abnormalities corresponding to the abnormal sampling items when other abnormalities occur, and add the sampling items to the abnormal sampling items to obtain the added abnormal sampling items.

[0080] In a third aspect, the present application provides an electronic device, which adopts the following technical solution:

[0081] at least one processor;

[0082] Memory;

[0083] At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute a gas meter circuit board detection method as described in any one of the first aspects.

[0084] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0085] A computer-readable storage medium stores a computer program, which, when executed in a computer, causes the computer to execute any of the gas meter circuit board detection methods of the first aspect.

[0086] In summary, the present application includes at least one of the following beneficial technical effects:

[0087] By adopting the above technical solution, the design parameter information and detection standard information of the gas meter circuit board in the historical period are obtained, wherein the design parameter information is the assembly component parameter information contained in each node of the gas meter circuit board during the production process and the line connection information between the assembly components, and the detection standard information is the detection item corresponding to each node of the gas meter circuit board during the production process and the standard data range corresponding to the detection item, which provides a solid data foundation for subsequent analysis. According to the design parameter information and the detection standard information, the gas meter circuit board is divided into sections according to the production node, and the node section information is obtained, which helps to accurately locate potential problems. The abnormal information of the circuit board in the production detection and application in the historical period is collected, and the abnormal period analysis is performed in combination with the node section information. Thereby, the high-risk period and the problem-prone items of the gas meter circuit board are identified, that is, the abnormal sampling period and the abnormal sampling items. This not only reduces blind detection, but also improves detection efficiency. When the system detects that the current time point coincides with the abnormal sampling period, the detection parameter information of the current gas meter circuit board is determined, and targeted detection is performed based on the established detection standard information and abnormal sampling items. It can quickly and accurately detect whether a representative gas meter circuit board is abnormal or not, ensuring the validity and reliability of the circuit board detection results, while improving the overall detection efficiency and quality of the gas meter circuit board. BRIEF DESCRIPTION OF THE DRAWINGS

[0088] Figure 1 A flow chart of a gas meter circuit board detection method provided in an embodiment of the present application.

[0089] Figure 2 A schematic diagram of the structure of a gas meter circuit board detection system provided in an embodiment of the present application.

[0090] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0091] The following is combined with Figure 1 -Attached Figure 3 This application is described in further detail.

[0092] This specific embodiment is merely an explanation of the present application and is not a limitation of the present application. After reading this specification, a person skilled in the art may make non-creative modifications to the present embodiment as needed, but such modifications are protected by the patent law as long as they are within the scope of the present application.

[0093] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0094] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0095] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0096] The embodiment of the present application provides a gas meter circuit board detection method, which is performed by an electronic device, wherein the electronic device can be an independent physical electronic device, or an electronic device cluster or distributed system composed of multiple physical electronic devices, or a cloud electronic device that provides cloud computing services. The embodiment of the present application is not limited here, such as Figure 1 As shown, the method includes:

[0097] Step S10: Acquire design parameter information and testing standard information of the gas meter circuit board in a historical period.

[0098] Among them, the design parameter information is the assembly component parameter information contained in each node of the gas meter circuit board during the production process and the line connection information between the assembly components. The inspection standard information is the inspection items corresponding to each node of the gas meter circuit board during the production process and the standard data range corresponding to the inspection items.

[0099] For the embodiment of the present application, the historical period represents a specific time period, and in the embodiment of the present application, the historical period is considered to be set. The gas meter circuit board refers to a circuit board installed on the gas meter for controlling and monitoring the gas flow. The assembly component parameter information represents the specifications and performance parameters of each component (such as resistors, capacitors, chips, etc.) in the circuit board. The line connection information between the assembly components refers to how these components are connected through lines to achieve specific functions. The inspection standard information refers to the inspection items set for each node in the production process and the standard data range corresponding to these items, which is used to ensure the quality of the circuit board.

[0100] Specifically, by accessing the production database or management system, the production records of gas meter circuit boards in the historical period are extracted. These records contain the parameter information of the assembly components and line connection information of each node. Secondly, through the pre-stored quality control files or test standard documents, the corresponding test items and their standard data ranges are extracted. This information is integrated into a unified platform or database for subsequent analysis and use.

[0101] Step S11: Divide the gas meter circuit board into sections according to production nodes based on the design parameter information and the detection standard information to obtain node section information.

[0102] Specifically, plate division refers to dividing the gas meter circuit board according to production nodes according to certain rules or standards to form different node plates. These node plates represent the different stages and components of the circuit board in the production process, which helps to manage the production and testing of the circuit board more finely. Node plate information refers to the specific information contained in each node plate after plate division, including the assembly component parameters, line connection information, test items, and standard data range of the plate.

[0103] For the embodiment of the present application, an automated circuit board design software or tool is used to simulate the division. According to the design parameter information and the test standard information, the circuit board is automatically divided into sections. At the same time, adjustments and optimizations can be made as needed to ensure the accuracy and rationality of the division results.

[0104] In an embodiment of the present application, the assembly batch of each gas meter circuit board and the assembly order of components corresponding to each assembly batch are determined based on the design parameter information, and the gas meter circuit boards in the design parameter information are divided into groups according to the assembly batches to obtain circuit board inspection groups. The gas meter circuit boards corresponding to each circuit board inspection group are divided into assembly panels according to the component assembly order and the inspection standard information to obtain node panel information.

[0105] Step S12: Collect circuit board abnormality information that occurs during production inspection of the gas meter circuit board and during a preset time period of application in a historical period.

[0106] For the embodiment of the present application, circuit board abnormality information refers to any information that does not meet design requirements, performance degradation, failure or damage that occurs during the production and inspection phase of the circuit board or within a preset time period after it is put into use.

[0107] Specifically, during the production inspection stage, professional inspection equipment is used to conduct comprehensive inspection and testing of the circuit board, and any situation that does not meet the design requirements or performance degradation is recorded. Within the preset time period after the application is launched, the abnormal information of the circuit board during actual use is collected through user feedback, remote monitoring or regular maintenance inspection. This information includes but is not limited to the fault phenomenon of the circuit board, the time and location of occurrence, the scope of impact, and possible causes.

[0108] Step S13: perform abnormal period analysis on the node plate information and circuit board abnormal information to obtain the abnormal sampling period and abnormal sampling items of the gas meter circuit board.

[0109] In an embodiment of the present application, the node plate information is analyzed to determine the assembly components of different node plates in the node plate information and the component data corresponding to the assembly components, the node plate information is unsupervisedly sorted in time series data based on the assembly components and the component data to obtain the first matrix data, the circuit board abnormality information is analyzed to determine the abnormal component nodes of different gas meter circuit boards in the circuit board abnormality information and the node abnormal data of the abnormal component nodes, the circuit board abnormality information is unsupervisedly sorted in time series data based on the abnormal component nodes and the node abnormal data to obtain the second matrix data, the first matrix data and the second matrix data are integrated according to the corresponding components, and the data distribution of the integrated third matrix data is explored to obtain the periodic law of abnormal data bursts of assembly components at different plate nodes in the gas meter circuit board under different application times, the time period length and the abnormal burst data corresponding to the time period length are determined based on the periodic law, the time period length and the abnormal burst data are correlated and summarized to obtain the abnormal sampling period and abnormal sampling items of the gas meter circuit board.

[0110] Step S14: When it is detected that the current time point coincides with the abnormal sampling period, the detection parameter information of the current gas meter circuit board is determined, and the detection parameter information is detected based on the detection standard information and the abnormal sampling items to obtain the circuit board detection result.

[0111] For the embodiment of the present application, when the current gas meter circuit board is determined from multiple gas meter circuit boards, the production information of the assembly components corresponding to each processing node in the gas meter circuit board is obtained, and the number of assembly components to be produced within a preset time period before the production of the gas meter circuit board and the component production machine number group corresponding to the production numbers of each assembly component are determined based on the production information. The component production machine number group includes: the production machine numbers corresponding to the various production and processing steps of the assembly components, the production number of each assembly component corresponds to a production machine number in a production and processing step, and the production number of the assembly component is a unique identifier of the assembly component produced before mass production. The number to be produced and the component production machine number group are randomly selected and analyzed to obtain the number to be detected, and the assembly component corresponding to the number to be detected is the selected sample. The target gas meter circuit board that uses the assembly component corresponding to the number to be detected in the set of gas meter circuit boards to be detected is determined, and the target gas meter circuit board is defined as the current gas meter circuit board.

[0112] For the embodiments of the present application, in order to better ensure the quality of components during the component material preparation process, random inspections were carried out during the production process. That is, the process of producing components for gas meter circuit boards also needs to go through multiple processes, and multiple production and processing machines process the components in each process. For example, the production and processing machines corresponding to process A include: production and processing machines a1, a2, and a3, the production and processing machines corresponding to process B include: production and processing machines b1, b2, and b3, and the production and processing machines corresponding to process C include: production and processing machines c1, c2, and c3. Each component corresponds to a production and processing machine in a process, and the production and processing machines corresponding to the components in each process form a component production machine number group, and the machine that processes each component may be different. For example, the component production machine number group corresponding to component 1 is [a1, b1, c1].

[0113] Specifically, the number of components to be inspected is determined based on the number to be produced, and the first component number is determined from the production numbers of each assembled component, the first component number is the number of the first assembled component to be inspected, and the component production machine number group corresponding to the first component number is determined as the target number group, the production machine numbers corresponding to the assembly components of the gas meter circuit board in each process are obtained, and the sample number group is determined based on the production machine numbers corresponding to each process and the target number group, there is at least one production machine number in the sample number group that is different from the production machine number in the target number group, based on the sample number group, the inspection quantity and the production machine number groups corresponding to each assembly component number, the second component numbers corresponding to each sample number group are determined, the first component number and the second component number are summarized to obtain the number to be inspected.

[0114] For the embodiment of the present application, the first selected component number is first determined, and the production and processing machine number corresponding to the assembly component number is determined as the target number group, that is, the machine number for processing the assembly component. The electronic device can obtain the production and processing machine numbers corresponding to the assembly components in each process in the local storage, or in other devices, and can also obtain the production and processing machine numbers corresponding to the assembly components in each process input by the user, which is not limited in the embodiment of the present application.

[0115] Specifically, after determining the target number group, in order to ensure that parts produced by other production and processing machines can be selected, it is necessary to select a processing machine number group different from the target number group, that is, a sample machine number group. For example, if the target number group is a1, b2, and c1, the sample number group may be [a2, b3, c1]. After determining the sample number group, according to the number of random inspections, the second component numbers corresponding to each sample number group are determined from the component production machine number groups corresponding to the production numbers of each assembly component. For example, the production numbers of the assembly components corresponding to the component production machine number group [a1, b1, c1] are number 1, number 2, and number 4, and the second component number may include number 1.

[0116] Specifically, when determining the second component numbers corresponding to each sample number group, it includes: comparing each sample number group with the target number group, determining the priority weight corresponding to each sample number group, the priority weight is used to characterize the quantity priority of different numbers in the sample number group and the target number group, sorting the sample number groups according to the size of the priority weight to obtain the sorted sample number groups, and determining a second component number corresponding to each sample number group in turn according to the sorting order until the number of second component numbers is one less than the number of random inspections; if after all the sample number groups are matched, the number of second component numbers is at least two less than the number of random inspections, then repeating the step of determining a second component number corresponding to the next sample number group according to the order until the number of second component numbers is one less than the number of random inspections.

[0117] For the embodiment of the present application, in order to ensure that as many assembly components produced by different production and processing machines as possible are sampled, each sample number group is compared with the target number group, and the priority weight corresponding to each sample number group is determined. For example, the target number group is [a1, b1, c1], and the sample number group is [a1, b1, c3], and the priority weight of the sample number group is 1. And sort each sample number group according to the priority weight, and determine a second component number corresponding to each sample number group in sequence. If the number of second component numbers is less than the sampling quantity, repeat the second component number determination step until the number of second component numbers is one less than the sampling quantity. For example, sort the sample number groups according to the order of priority weight, number group 1, number group 4, number group 2 and number group 3, and the sampling quantity is 6. The sampling process is that number group 1, number group 4, number group 2 and number group 3 each correspond to a component number, and the number of second component numbers is 2 less than the sampling quantity. It is necessary to conduct sampling again and determine the second component number of sampling number group 1 again. The number of second component numbers is one less than the sampling quantity, and the second component number determination step is terminated.

[0118] In the embodiment of the present application, the design parameter information and the detection standard information of the gas meter circuit board in the historical period are obtained, wherein the design parameter information is the assembly component parameter information contained in each node of the gas meter circuit board during the production process and the line connection information between the assembly components, and the detection standard information is the detection item corresponding to each node of the gas meter circuit board during the production process and the standard data range corresponding to the detection item, which provides a solid data basis for subsequent analysis. According to the design parameter information and the detection standard information, the gas meter circuit board is divided into sections according to the production node, and the node section information is obtained, which helps to accurately locate potential problems. The abnormal information of the circuit board in the production detection and application during the historical period is collected, and the abnormal period analysis is performed in combination with the node section information. Thereby, the high-risk period and the problem-prone items of the gas meter circuit board are identified, that is, the abnormal sampling period and the abnormal sampling items. This not only reduces blind detection, but also improves detection efficiency. When the system detects that the current time point coincides with the abnormal sampling period, the detection parameter information of the current gas meter circuit board is determined, and targeted detection is performed based on the established detection standard information and abnormal sampling items. It can quickly and accurately detect whether a representative gas meter circuit board is abnormal or not, ensuring the validity and reliability of the circuit board detection results, while improving the overall detection efficiency and quality of the gas meter circuit board.

[0119] Furthermore, based on the detection standard information and the abnormal sampling items, the detection parameter information is detected to obtain the circuit board detection result, which then includes: when the circuit board detection result is normal, the circuit board application data of the gas meter circuit board within the preset time of application is obtained, and whether there is any abnormality in the application behavior of the application personnel is determined according to the circuit board application data; if not, the circuit board application data is monitored and judged to determine whether there are other abnormalities that are inconsistent with the abnormalities corresponding to the abnormal sampling items; if other abnormalities that are inconsistent with the abnormalities corresponding to the abnormal sampling items occur, then the sampling items corresponding to the other abnormalities are determined, and the sampling items are added to the abnormal sampling items to obtain the added abnormal sampling items.

[0120] The following is an introduction to a gas meter circuit board detection system provided in an embodiment of the present application. The gas meter circuit board detection system described below and the gas meter circuit board detection method described above can be referred to each other. Please refer to Figure 2 , Figure 2 : is a schematic diagram of a gas meter circuit board detection system 20 provided in an embodiment of the present application, comprising:

[0121] The information acquisition module 21 is used to acquire the design parameter information and the inspection standard information of the gas meter circuit board in the historical period, wherein the design parameter information is the assembly component parameter information contained in each node of the gas meter circuit board during the production process and the line connection information between the assembly components, and the inspection standard information is the inspection items corresponding to each node of the gas meter circuit board during the production process and the standard data range corresponding to the inspection items;

[0122] The plate division module 22 is used to divide the gas meter circuit board into plates according to the production nodes according to the design parameter information and the detection standard information, and obtain the node plate information;

[0123] The information collection module 23 is used to collect circuit board abnormality information of the gas meter circuit board during production inspection and during a preset time period of application in the historical period;

[0124] The cycle analysis module 24 is used to perform abnormal cycle analysis on the node plate information and circuit board abnormal information to obtain the abnormal sampling period and abnormal sampling items of the gas meter circuit board;

[0125] The information detection module 25 is used to determine the detection parameter information of the current gas meter circuit board when it is detected that the current time point coincides with the abnormal sampling period, and detect the detection parameter information based on the detection standard information and the abnormal sampling items to obtain the circuit board detection result.

[0126] In a possible implementation of the embodiment of the present application, the plate division module 22 divides the gas meter circuit board into plates according to the production nodes according to the design parameter information and the detection standard information to obtain the node plate information, specifically for:

[0127] Determine the assembly batch of each gas meter circuit board and the assembly order of components corresponding to each assembly batch based on the design parameter information, and divide the gas meter circuit boards in the design parameter information into groups according to the assembly batches to obtain circuit board detection groups;

[0128] According to the component assembly order and the detection standard information, the gas meter circuit board corresponding to each circuit board detection group is divided into assembly blocks to obtain node block information.

[0129] In another possible implementation of the embodiment of the present application, the cycle analysis module 24 performs abnormal cycle analysis on the node plate information and the circuit board abnormal information to obtain the abnormal sampling period and abnormal sampling items of the gas meter circuit board, specifically for:

[0130] Analyze the node plate information to determine the assembly components of different node plates in the node plate information and the component data corresponding to the assembly components;

[0131] Based on the assembly components and component data, the node plate information is sorted in an unsupervised time series data to obtain the first matrix data;

[0132] Analyze the circuit board abnormality information to determine abnormal component nodes of different gas meter circuit boards in the circuit board abnormality information and node abnormality data of the abnormal component nodes;

[0133] Based on abnormal component nodes and node abnormal data, unsupervised time series data sorting is performed on abnormal circuit board information to obtain second matrix data;

[0134] The first matrix data and the second matrix data are integrated according to the corresponding conditions of the components, and the data distribution of the integrated third matrix data is explored to obtain the periodic law of abnormal data bursts of the assembled components of different block nodes in the gas meter circuit board under different application durations;

[0135] Determine the time period length and the abnormal burst data corresponding to the time period length based on the periodic law;

[0136] The time period length and abnormal burst data are correlated and summarized to obtain the abnormal sampling inspection period and abnormal sampling inspection items of the gas meter circuit board.

[0137] In another possible implementation of the embodiment of the present application, the information detection module 25 is specifically used to determine the detection parameter information of the current gas meter circuit board:

[0138] Obtain production information of assembly components corresponding to each processing node in the gas meter circuit board;

[0139] Based on the production information, determine the number of assembly components to be produced within a preset time period before the production of the gas meter circuit board and the component production machine number group corresponding to the production number of each assembly component, the component production machine number group includes: the production machine number corresponding to each production and processing step of the assembly component, each production number of the assembly component corresponds to a production machine number in a production and processing step, and the production number of the assembly component is a unique identifier of the assembly component produced before mass production;

[0140] Perform random analysis on the production quantity and component production machine number group to obtain the number to be tested, and the assembly components corresponding to the number to be tested are the selected samples;

[0141] A target gas meter circuit board of the to-be-detected gas meter circuit board set using the assembly components corresponding to the to-be-detected number is determined, and the target gas meter circuit board is defined as the current gas meter circuit board.

[0142] In another possible implementation of the embodiment of the present application, when the information detection module 25 performs sampling analysis on the number to be produced and the number group of the component production machine to obtain the number to be detected, it is specifically used to:

[0143] Determine the number of components to be inspected based on the number to be produced, and determine the first component number from the production numbers of each assembly component, the first component number being the number of the first assembly component to be inspected;

[0144] Determine the component production machine number group corresponding to the first component number as the target number group;

[0145] Obtain the production machine numbers corresponding to the assembly components of the gas meter circuit board in each process, and determine the sample number group based on the production machine numbers corresponding to the various processes and the target number group, wherein at least one production machine number in the sample number group is different from the production machine number in the target number group;

[0146] Determine the second component number corresponding to each sample number group based on the sample number group, the sampling quantity, and the production machine number group corresponding to each assembly component number;

[0147] The first component number and the second component number are summed up to obtain a number to be detected.

[0148] In another possible implementation of the embodiment of the present application, the information detection module 25 is specifically used to determine the second component number corresponding to each sample number group based on the sample number group, the sampling quantity, and the production machine number group corresponding to each assembly component number:

[0149] Compare each sample number group with the target number group to determine the priority weight corresponding to each sample number group, where the priority weight is used to characterize the quantity priority of different numbers in the sample number group and the target number group;

[0150] Sort the sample number groups according to the priority weights to obtain sorted sample number groups, and determine a corresponding second component number in each sample number group in turn according to the sorting order until the number of second component numbers is one less than the number of random inspections;

[0151] If after all sample number groups are matched, the number of second component numbers is at least 2 less than the sampling number, the step of determining a second component number corresponding to the next sample number group in sequence is repeated until the number of second component numbers is 1 less than the sampling number.

[0152] In another possible implementation of the embodiment of the present application, the system 20 further includes: a data acquisition module, a behavior detection module, and a sampling update module, wherein:

[0153] A data source acquisition module is used to obtain the circuit board application data of the gas meter circuit board within the preset application time when the circuit board detection result is normal;

[0154] The behavior detection module is used to determine whether there are any abnormalities in the application behavior of the application personnel based on the circuit board application data. If not, the circuit board application data is monitored and judged to determine whether there are other abnormalities that are inconsistent with the abnormalities corresponding to the abnormal sampling items.

[0155] The sampling update module is used to determine the sampling items corresponding to other abnormalities when other abnormalities that are inconsistent with the abnormalities corresponding to the abnormal sampling items occur, and add the sampling items to the abnormal sampling items to obtain the added abnormal sampling items.

[0156] The present application embodiment provides an electronic device, such as Figure 3 As shown, Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application, Figure 3The electronic device 300 shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 does not constitute a limitation on the embodiments of the present application.

[0157] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of the embodiments of the present application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

[0158] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0159] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0160] The memory 303 is used to store application code for executing the solution of the embodiment of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the content shown in the above method embodiment.

[0161] Among them, electronic devices include but are not limited to: mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0162] A computer-readable storage medium provided in an embodiment of the present application is introduced below. The computer-readable storage medium described below and the method described above can be referenced to each other.

[0163] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned gas meter circuit board detection method are implemented.

[0164] Since the embodiments of the computer-readable storage medium part and the embodiments of the method part correspond to each other, the embodiments of the computer-readable storage medium part refer to the description of the embodiments of the method part.

[0165] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0166] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A gas meter circuit board detection method, characterized in that: include: Acquire design parameter information and testing standard information of the gas meter circuit board in the historical period, wherein the design parameter information is the assembly component parameter information contained in each node of the gas meter circuit board during the production process and the line connection information between the assembly components, and the testing standard information is the testing items corresponding to each node of the gas meter circuit board during the production process and the standard data range corresponding to the testing items; According to the design parameter information and the inspection standard information, the gas meter circuit board is divided into sections according to the production nodes to obtain node section information, wherein the section division refers to dividing the gas meter circuit board according to the production nodes according to certain rules or standards to form different node sections, and the node section information includes assembly component parameters, line connection information, inspection items and standard data range of the section; Collecting circuit board abnormality information of the gas meter circuit board during production inspection and during a preset time period of application in the historical period; Perform abnormal period analysis on the node plate information and the circuit board abnormal information to obtain the abnormal sampling period and abnormal sampling items of the gas meter circuit board; The abnormal period analysis of the node plate information and the circuit board abnormal information is performed to obtain the abnormal sampling period and abnormal sampling items of the gas meter circuit board, including: Analyze the node plate information to determine assembly components of different node plates in the node plate information and component data corresponding to the assembly components; Based on the assembly components and the component data, unsupervised time series data sorting is performed on the node plate information to obtain first matrix data; Analyze the circuit board abnormality information to determine abnormal component nodes of different gas meter circuit boards in the circuit board abnormality information and node abnormality data of the abnormal component nodes; Based on the abnormal component nodes and the node abnormal data, unsupervised time series data sorting is performed on the abnormal information of the circuit board to obtain second matrix data; The first matrix data and the second matrix data are integrated according to the corresponding conditions of the components, and the data distribution of the integrated third matrix data is explored to obtain the periodic law of abnormal data bursts of the assembled components of different plate nodes in the gas meter circuit board under different application durations; Determine the time period length and the abnormal burst data corresponding to the time period length based on the periodic law; The time period length and the abnormal burst data are correlated and summarized to obtain the abnormal sampling inspection period and abnormal sampling inspection items of the gas meter circuit board; When it is detected that the current time point coincides with the abnormal sampling period, the detection parameter information of the current gas meter circuit board is determined, and the detection parameter information is detected based on the detection standard information and the abnormal sampling items to obtain the circuit board detection result.

2. A gas meter circuit board detection method according to claim 1, characterized in that: The gas meter circuit board is divided into sections according to production nodes according to the design parameter information and the detection standard information to obtain node section information, including: Determine the assembly batch of each gas meter circuit board and the assembly order of components corresponding to each assembly batch based on the design parameter information, and divide the gas meter circuit boards in the design parameter information into groups according to the assembly batches to obtain circuit board detection groups; According to the component assembly order and the detection standard information, the gas meter circuit board corresponding to each circuit board detection group is divided into assembly blocks to obtain node block information.

3. A gas meter circuit board detection method according to claim 1, characterized in that: The step of determining the detection parameter information of the current gas meter circuit board includes: Obtaining production information of assembly components corresponding to each processing node in the gas meter circuit board; Based on the production information, determine the quantity of the assembly components to be produced within a preset time period before the production of the gas meter circuit board and the component production machine number group corresponding to the production numbers of each assembly component, the component production machine number group includes: the production machine numbers corresponding to each production and processing step of the assembly components, each production number of the assembly components corresponds to a production machine number in a production and processing step, and the production number of the assembly components is a unique identifier of the assembly components produced before mass production; Performing random analysis on the number to be produced and the number group of the component production machine to obtain the number to be tested, and the assembly components corresponding to the number to be tested are the randomly selected samples; A target gas meter circuit board using the assembly components corresponding to the to-be-detected number is determined in the to-be-detected gas meter circuit board set, and the target gas meter circuit board is defined as the current gas meter circuit board.

4. A gas meter circuit board detection method according to claim 3, characterized in that: The sampling and analysis of the number to be produced and the number group of the component production machine to obtain the number to be tested includes: Determine the number of components to be inspected based on the number to be produced, and determine a first component number from the production numbers of each assembly component, the first component number being the number of the first assembly component to be inspected; Determine the component production machine number group corresponding to the first component number as the target number group; Obtaining the production machine numbers corresponding to the assembly components of the gas meter circuit board in each process, and determining a sample number group based on the production machine numbers corresponding to the various processes and the target number group, wherein at least one production machine number in the sample number group is different from the production machine number in the target number group; Determine the second component number corresponding to each sample number group based on the sample number group, the number of components to be inspected, and the production machine number group corresponding to each assembly component number; The first component number and the second component number are summed up to obtain a number to be detected.

5. A gas meter circuit board detection method according to claim 4, characterized in that: The determining of the second component numbers corresponding to the respective sample number groups based on the sample number groups, the number of component inspections, and the production machine number groups corresponding to the respective assembly component numbers, comprises: Compare each of the sample number groups with the target number group to determine a priority weight corresponding to each of the sample number groups, wherein the priority weight is used to characterize the quantity priority of different numbers in the sample number group and the target number group; Sorting the sample number groups according to the priority weights to obtain sorted sample number groups, and determining a corresponding second component number in each sample number group in turn according to the sorting order until the number of second component numbers is one less than the number of component physical examinations; If after all sample number groups are matched, the number of second component numbers is at least 2 less than the number of component physical inspections, the step of determining a second component number corresponding to the next sample number group in sequence is repeated until the number of second component numbers is 1 less than the number of component physical inspections.

6. A gas meter circuit board detection method according to claim 1, characterized in that: The testing parameter information is tested based on the testing standard information and the abnormal sampling items to obtain the circuit board testing result, and then further includes: When the circuit board detection result is normal, obtaining the circuit board application data of the gas meter circuit board within the preset application time; Determine whether there is any abnormality in the application behavior of the application personnel according to the circuit board application data, and if not, monitor and judge the circuit board application data to determine whether there are other abnormalities that are inconsistent with the abnormalities corresponding to the abnormal sampling items; If other abnormalities that are inconsistent with the abnormalities corresponding to the abnormal sampling items occur, the sampling items corresponding to the other abnormalities are determined, and the sampling items are added to the abnormal sampling items to obtain the added abnormal sampling items.

7. A gas meter circuit board detection system, characterized in that: include: An information acquisition module, used to acquire design parameter information and test standard information of a gas meter circuit board in a historical period, wherein the design parameter information is assembly component parameter information contained in each node of the gas meter circuit board during the production process and line connection information between assembly components, and the test standard information is the test items corresponding to each node of the gas meter circuit board during the production process and the standard data range corresponding to the test items; A plate division module, used to divide the gas meter circuit board into plates according to the production nodes according to the design parameter information and the inspection standard information, and obtain node plate information, wherein the plate division refers to dividing the gas meter circuit board according to the production nodes according to certain rules or standards to form different node plates, and the node plate information includes assembly component parameters, line connection information, inspection items and standard data range of the plate; An information collection module, used to collect circuit board abnormality information of the gas meter circuit board during production inspection and during a preset time period of application in the historical period; A periodic analysis module, used to perform abnormal periodic analysis on the node plate information and the circuit board abnormal information, and obtain the abnormal sampling period and abnormal sampling items of the gas meter circuit board; When performing abnormal period analysis on the node plate information and the circuit board abnormal information to obtain the abnormal sampling period and abnormal sampling items of the gas meter circuit board, it is specifically used for: Analyze the node plate information to determine assembly components of different node plates in the node plate information and component data corresponding to the assembly components; Based on the assembly components and the component data, unsupervised time series data sorting is performed on the node plate information to obtain first matrix data; Analyze the circuit board abnormality information to determine abnormal component nodes of different gas meter circuit boards in the circuit board abnormality information and node abnormality data of the abnormal component nodes; Based on the abnormal component nodes and the node abnormal data, unsupervised time series data sorting is performed on the abnormal information of the circuit board to obtain second matrix data; The first matrix data and the second matrix data are integrated according to the corresponding conditions of the components, and the data distribution of the integrated third matrix data is explored to obtain the periodic law of abnormal data bursts of the assembled components of different plate nodes in the gas meter circuit board under different application durations; Determine the time period length and the abnormal burst data corresponding to the time period length based on the periodic law; The time period length and the abnormal burst data are correlated and summarized to obtain the abnormal sampling inspection period and abnormal sampling inspection items of the gas meter circuit board; The information detection module is used to determine the detection parameter information of the current gas meter circuit board when it is detected that the current time point coincides with the abnormal sampling period, and detect the detection parameter information based on the detection standard information and the abnormal sampling items to obtain the circuit board detection result.

8. An electronic device, characterized in that: The electronic device includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute a gas meter circuit board detection method according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that: include: A computer program is stored which can be loaded by a processor and execute a gas meter circuit board detection method as described in any one of claims 1-6.

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