A quality control method and device for GIS equipment and a non-transitory computer-readable storage medium

Abstract

The application discloses a quality control method and device of GIS equipment and a non-transitory computer readable storage medium, the method comprises the following steps: obtaining equipment information of GIS equipment to be controlled and personnel information of quality control personnel, then combining a preset quality control classification to determine a quality control scheme for the GIS equipment to be controlled, the quality control scheme comprises a field sub-case and a cloud monitoring sub-case, the field sub-case is a scheme for allocating a plurality of quality control personnel to perform equipment quality control operation on the GIS equipment to be controlled in an offline supervision manner; analyzing control information collected based on an intelligent portable device for the GIS equipment to be controlled to obtain an analysis result; when the analysis result indicates that the control information does not match a preset equipment control requirement, according to the analysis result and the equipment control requirement, a defect processing operation is performed on a to-be-corrected equipment in the GIS equipment to be controlled which does not meet the equipment control requirement according to a determined defect processing flow. The application can improve the supervision efficiency, problem processing efficiency and quality control traceability of the material control.

Description

Technical Field

[0001] This invention belongs to the field of power equipment quality control technology, specifically relating to a quality control method, device, and non-transitory computer-readable storage medium for GIS equipment. Background Technology

[0002] Traditional material quality control operations inevitably suffer from human error, leading to non-standard operations and monitoring blind spots, resulting in inconsistent equipment quality control effectiveness. This is mainly manifested in the following ways: First, in the traditional power industry, the quality of material quality control (equipment manufacturing supervision, testing, etc.) depends on the professional level and attitude of the personnel responsible for the quality control process. Furthermore, because quality control supervision often requires long-term on-site tracking, the effectiveness of manual quality control methods is low and cannot achieve effective supervision. Second, key business processes lack professional auxiliary analysis and judgment tools for expert back-end support, resulting in poor communication efficiency between different business processes and an inability to achieve efficient communication between them. When equipment quality problems occur, timely and effective problem handling is often impossible. Third, the key recording methods for material quality control are limited, and the subjective influence of quality control records is significant, leading to poor traceability of the material quality control process through these records.

[0003] It is evident that improving the efficiency of material quality control supervision, the efficiency of handling problems that arise in material quality control, and the traceability of quality control are particularly important. Summary of the Invention

[0004] The technical problem to be solved by the embodiments of the present invention is to provide a quality control method, apparatus and non-transitory computer-readable storage medium for GIS equipment, so as to improve the supervision efficiency of GIS equipment, improve the handling efficiency when quality control problems occur and improve the traceability of quality control.

[0005] To address the aforementioned technical problems, this invention provides a quality control method for GIS equipment, comprising:

[0006] Obtain the equipment information of the GIS equipment to be inspected and the personnel information of the quality control personnel. The equipment information includes the equipment type of the GIS equipment to be inspected and the number of each equipment type in the equipment to be inspected. The quality control personnel are the personnel responsible for performing preset equipment quality control operations on the GIS equipment to be inspected.

[0007] Based on the equipment information and personnel information, and combined with the preset quality control classification, a quality control plan is determined for the GIS equipment to be inspected. The quality control plan includes an on-site plan and a cloud monitoring plan. The on-site plan is a plan that assigns several quality control personnel to perform the equipment quality control operation on the GIS equipment to be inspected in an offline supervision manner.

[0008] The analysis results are obtained by analyzing the control information of the GIS equipment to be controlled based on the intelligent portable device. The control information includes the on-site control information obtained after executing the on-site plan and the cloud monitoring information obtained after executing the cloud monitoring plan.

[0009] When the analysis results indicate that the control information does not match the preset equipment control requirements, based on the analysis results and the equipment control requirements, and in accordance with the determined defect handling process, defect handling operations are performed on the GIS equipment to be corrected that does not meet the equipment control requirements.

[0010] Furthermore, the quality control classification includes on-site classification and cloud monitoring classification. The on-site classification is a classification that requires the allocation of several quality control personnel to the on-site scenario corresponding to the GIS equipment to be quality controlled. The on-site classification includes a first classification or a non-first classification. The first classification is a classification that requires the configuration of on-site management personnel to the on-site scenario. The on-site management personnel are personnel who are on-site to manage the quality control personnel and perform the equipment quality control operation on the GIS equipment to be quality controlled. The quality control scheme generated corresponding to the on-site classification is the on-site scheme.

[0011] The cloud monitoring category is defined as the category in which the quality control device configured in the on-site scenario performs the equipment quality control operation on the GIS equipment to be quality controlled, and the quality control scheme generated corresponding to the cloud monitoring category is the cloud monitoring scheme.

[0012] Furthermore, the step of determining a quality control plan for the GIS equipment to be controlled based on the equipment information and the personnel information, combined with a preset quality control classification, includes:

[0013] When the quality control classification includes the on-site classification, for each type of equipment corresponding to the GIS equipment to be quality controlled, a target number of target personnel and all quality control nodes are determined to match the number of equipment to be quality controlled for that type of equipment. Based on the determined target number of target personnel, all quality control nodes, and the on-site classification, an on-site plan is determined for all the GIS equipment to be quality controlled. The quality control node is the node that performs the equipment quality control operation.

[0014] Wherein, when the on-site classification is the first classification, the target personnel include the quality control personnel and the on-site management personnel; when the on-site classification is not the first classification, the target personnel only include the quality control personnel.

[0015] Furthermore, the quality control method for the GIS equipment also includes:

[0016] When the quality control category includes the cloud monitoring category, determine the number of all quality control devices and all quality control nodes in the on-site scenario where the GIS device to be quality controlled is located.

[0017] Determine whether the number of all the quality control devices meets the number required to perform the equipment quality control operation on the GIS equipment to be quality controlled. If the determination result is yes, determine a cloud monitoring scheme for all the GIS equipment to be quality controlled based on the number of all the quality control devices, the equipment information of the GIS equipment to be quality controlled, and all the quality control nodes.

[0018] When the judgment result is negative, a polling scheme is obtained based on the number of all quality control devices, the device information of the GIS device to be quality controlled, and all the quality control nodes, combined with a preset polling mechanism. This polling scheme is used as a cloud monitoring scheme for all the GIS devices to be quality controlled. The polling scheme is used to perform the device quality control operation on the GIS device to be quality controlled under the condition of the number of devices, and the operation execution degree of the device quality control operation meets the task execution threshold.

[0019] The determined on-site solution and cloud monitoring solution are used as the quality control solution for the GIS equipment to be inspected.

[0020] Furthermore, the analysis, based on the control information collected by the intelligent portable device regarding the GIS equipment to be controlled, yields analysis results corresponding to the control information, including:

[0021] Based on the intelligent portable device, the equipment quality control results are obtained by performing the equipment quality control operation on the GIS equipment to be controlled according to the quality control scheme. The equipment quality control results include on-site sub-control results and cloud monitoring results.

[0022] Analyze the equipment quality control results to obtain the on-site analysis information corresponding to the on-site sub-control results and the cloud monitoring analysis information corresponding to the cloud monitoring results;

[0023] When it is determined that the cloud monitoring analysis information indicates that there is a device among all the GIS devices under quality control that needs to be calibrated and requires the execution of a preset defect handling operation, the on-site calibration analysis information that matches the device to be calibrated in the on-site analysis information is determined.

[0024] When it is determined that the on-site calibration analysis information is consistent with the analysis information corresponding to the device to be calibrated in the cloud monitoring analysis information, it is determined that the device to be calibrated does not meet the preset device control requirements, and this is taken as the analysis result corresponding to the control information.

[0025] Furthermore, when it is determined that the on-site calibration analysis information is inconsistent with the analysis information corresponding to the device to be calibrated in the cloud monitoring analysis information, the method further includes:

[0026] Generate verification information for the device to be calibrated, and the verification information is used to feed back to the personnel responsible for processing the GIS device to be quality control in the on-site scenario;

[0027] Based on the verification feedback information, update the on-site calibration analysis information and the analysis information corresponding to the device to be calibrated. The verification feedback information is the information returned by the processing personnel after verifying the device information of the device to be calibrated based on the verification information.

[0028] Based on the verification feedback information, the quality control scheme is updated and aggregated into the historical quality control scheme. The historical quality control scheme is used to generate a scheme for the GIS equipment to be inspected in the future.

[0029] Furthermore, when it is determined that the on-site calibration analysis information is inconsistent with the analysis information corresponding to the device to be calibrated in the cloud monitoring analysis information, the method further includes:

[0030] A secondary equipment quality control operation is performed on the equipment to be calibrated to obtain the secondary quality control result corresponding to the equipment to be calibrated. The secondary quality control result includes secondary on-site information and secondary cloud monitoring information.

[0031] When the secondary quality control result indicates that the secondary cloud monitoring information does not match the secondary on-site information, the secondary cloud monitoring information is updated according to the secondary on-site information and used as the analysis result corresponding to the control information.

[0032] Specifically, when the secondary on-site information indicates that the equipment to be calibrated does not meet the equipment control requirements, it is determined that the equipment to be calibrated needs to undergo defect handling operations.

[0033] The present invention also provides a quality control device for GIS equipment, comprising:

[0034] The acquisition module is used to acquire equipment information of the GIS equipment to be inspected and personnel information of the quality control personnel. The equipment information includes the equipment type of the GIS equipment to be inspected and the number of each equipment type in the equipment to be inspected. The quality control personnel are the personnel responsible for performing preset equipment quality control operations on the GIS equipment to be inspected.

[0035] The determination module is used to determine a quality control plan for the GIS equipment to be inspected based on the equipment information and the personnel information, combined with a preset quality control classification. The quality control plan includes an on-site plan and a cloud monitoring plan. The on-site plan is a plan that assigns several quality control personnel to perform the equipment quality control operation on the GIS equipment to be inspected in an offline supervision manner.

[0036] The analysis module is used to analyze the control information of the GIS equipment to be controlled based on the intelligent portable device, and obtain the analysis results corresponding to the control information. The control information includes the on-site control information obtained after executing the on-site plan and the cloud monitoring information obtained after executing the cloud monitoring plan.

[0037] The defect handling module is used to perform defect handling operations on the GIS equipment to be rectified that does not meet the equipment control requirements in the GIS equipment to be quality controlled when the analysis result indicates that the control information does not match the preset equipment control requirements, according to the analysis result and the equipment control requirements and in accordance with the determined defect handling process.

[0038] The present invention also provides a quality control device for GIS equipment, comprising:

[0039] Memory containing executable program code;

[0040] A processor coupled to the memory;

[0041] The processor calls the executable program code stored in the memory to execute the GIS equipment quality control method.

[0042] The present invention also provides a non-transitory computer-readable storage medium storing a computer program, which, when running, controls the device where the non-transitory computer-readable storage medium is located to execute the GIS equipment quality control method.

[0043] The present invention has the following beneficial effects: It can intelligently acquire equipment information of GIS equipment to be inspected and personnel information of quality control personnel, thereby improving the efficiency of acquiring and determining equipment and personnel information. This allows for the determination of a quality control plan for the GIS equipment to be inspected by combining preset quality control classifications and comprehensively considering the configuration of equipment information and quality control personnel. This improves the efficiency and accuracy of the determined quality control plan. Finally, for the equipment to be calibrated identified after implementing the quality control plan, it can be automatically processed according to the defect handling process, improving the processing efficiency and accuracy of the equipment to be calibrated. Attached Figure Description

[0044] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0045] Figure 1 This is a flowchart illustrating a quality control method for GIS equipment according to an embodiment of the present invention.

[0046] Figure 2 This is another flowchart illustrating a quality control method for GIS equipment according to an embodiment of the present invention.

[0047] Figure 3 This is a structural schematic diagram of a quality control device for GIS equipment according to an embodiment of the present invention.

[0048] Figure 4 This is a schematic diagram of the structure of the module determined in an embodiment of the present invention.

[0049] Figure 5 This is another structural schematic diagram of a quality control device for GIS equipment according to an embodiment of the present invention. Detailed Implementation

[0050] The following description of the embodiments is taken with reference to the accompanying drawings, which illustrate specific embodiments in which the invention can be implemented.

[0051] Please refer to Figure 1 As shown, this embodiment of the invention provides a quality control method for GIS equipment. This quality control method for GIS equipment can be applied to a quality control device for GIS equipment based on a smart portable device, and includes the following steps:

[0052] Step 101: Obtain the equipment information of the GIS equipment to be inspected and the personnel information of the quality control personnel. The equipment information includes the equipment type of the GIS equipment to be inspected and the quantity of each equipment type in the equipment to be inspected.

[0053] In this embodiment of the invention, the quality control personnel are those responsible for performing preset equipment quality control operations on the GIS equipment to be controlled.

[0054] Step 102: Based on the equipment information and personnel information, and in conjunction with the preset quality control classification, determine the quality control scheme for the GIS equipment to be controlled. The quality control scheme includes an on-site scheme and a cloud monitoring scheme.

[0055] In this embodiment of the invention, the on-site solution is a solution in which several quality control personnel are assigned to perform equipment quality control operations on the GIS equipment to be controlled in an offline supervision manner. The cloud monitoring solution is a solution in which the quality control device is controlled to perform equipment quality control operations on the GIS equipment to be controlled. Further, the quality control device can be a device configured in the quality control scenario where the GIS equipment to be controlled is located. Specifically, the quality control device can be the portable device, and the portable device is equipped with a monitoring module for recording the operation process of performing equipment quality control operations.

[0056] In this embodiment of the invention, the quality control classification includes on-site classification and cloud monitoring classification. On-site classification is the classification that requires the allocation of several quality control personnel to the on-site scene corresponding to the GIS equipment to be controlled. On-site classification includes a first classification or a non-first classification. The first classification is the classification that requires the configuration of on-site management personnel to the on-site scene. On-site management personnel are the personnel who perform equipment quality control operations on the GIS equipment to be controlled by on-site management quality control personnel, and the quality control scheme generated corresponding to the on-site classification is the on-site scheme. Cloud monitoring classification is the classification that implements equipment quality control operations on the GIS equipment to be controlled by quality control devices configured in the on-site scene, and the quality control scheme generated corresponding to the cloud monitoring classification is the cloud monitoring scheme.

[0057] Step 103: Analyze the collected control information for the GIS equipment to be controlled and obtain the analysis results corresponding to the control information.

[0058] In this embodiment of the invention, the control information includes on-site control information obtained after implementing the on-site control plan and cloud monitoring information obtained after implementing the cloud monitoring plan.

[0059] Step 104: When the analysis results indicate that the control information does not match the preset equipment control requirements, based on the analysis results and equipment control requirements, and in accordance with the determined defect handling process, perform defect handling operations on the equipment to be corrected in the GIS equipment to be controlled that does not meet the equipment control requirements.

[0060] It is evident that implementation Figure 1 The described quality control method for GIS equipment can intelligently acquire equipment information and personnel information of the GIS equipment to be controlled, improving the efficiency of acquiring and determining equipment and personnel information. It can then combine preset quality control classifications with a comprehensive consideration of equipment information and personnel configuration to determine a quality control plan for the GIS equipment to be controlled, improving the efficiency and accuracy of the determined plan. Finally, for equipment identified as needing correction after implementing the quality control plan, it can automatically process the equipment according to a defect handling procedure, improving the efficiency and accuracy of processing the equipment to be corrected.

[0061] In an optional embodiment, the method of determining the quality control scheme for the GIS equipment to be controlled based on equipment information and personnel information, combined with a preset quality control classification, specifically includes:

[0062] When the quality control category includes the on-site category, for each type of GIS equipment to be quality controlled, determine the target number of target personnel and all quality control nodes that match the number of GIS equipment to be quality controlled for that type of equipment. Based on the determined target number of target personnel, all quality control nodes, and on-site category, determine the on-site plan for all GIS equipment to be quality controlled. The quality control node is the node that performs the equipment quality control operation.

[0063] When the on-site category is Category 1, the target personnel include quality control personnel and on-site management personnel; when the on-site category is not Category 1, the target personnel only include quality control personnel.

[0064] Specifically, the on-site management personnel can be experts who witness the quality control process and factory testing of GIS equipment. Furthermore, the experts can be selected directly from the expert database or new experts can be selected from external sources. This embodiment of the invention does not impose any limitations.

[0065] In this optional embodiment, the method may further include:

[0066] When the quality control category includes cloud monitoring, determine the number of all quality control devices and all quality control nodes in the on-site scenario where the GIS equipment to be controlled is located.

[0067] Determine whether the number of all quality control devices meets the requirements for performing equipment quality control operations on the GIS equipment to be controlled. If the determination result is yes, determine the cloud monitoring solution for all GIS equipment to be controlled based on the number of all quality control devices, the equipment information of the GIS equipment to be controlled, and all quality control nodes.

[0068] When the judgment result is negative, a polling scheme is obtained based on the number of all quality control devices, the equipment information of the GIS equipment to be controlled, and all quality control nodes, combined with the preset polling mechanism. This polling scheme is used as a cloud monitoring scheme for all GIS equipment to be controlled. The polling scheme is used to perform equipment quality control operations on the GIS equipment to be controlled under the condition of the number of devices, and the operation execution degree of the equipment quality control operation meets the task execution threshold.

[0069] The determined on-site plan and cloud monitoring plan will be used as the quality control plan for the GIS equipment to be inspected.

[0070] Furthermore, in the case of on-site classification, the quality control node can include a full node type (on-site comprehensive supervision type) or a half node type (critical node type). The full node type is the type that requires equipment quality control operations to be performed on all equipment production and manufacturing nodes of the GIS equipment to be quality controlled, while the half node type is the type that requires equipment quality control operations to be performed on several equipment production and manufacturing nodes of the GIS equipment to be quality controlled.

[0071] It should be noted that the quality control points may specifically include point W (using document witnessing or on-site witnessing), point H (using the method of stopping work for inspection), and point S (using the method of on-site supervision).

[0072] Among them, W point (Witness Point) refers to the on-site or document witnessing point. Document witnessing refers to reviewing the inspection and testing records of raw materials, parts, and outsourced components of the contracted products provided by the manufacturing unit, as well as reviewing the relevant inspection and testing records of the products during the manufacturing process.

[0073] H-point (Hold Point): This refers to the point where work is suspended pending inspection. It is a point where key test and acceptance points or non-repeatable test and acceptance points are subject to supervision and inspection.

[0074] S-point (Standby Point): This refers to the monitoring and inspection of certain pre-set processes during product manufacturing (such as important process nodes, hidden works, assembly processes of key components, and other key points).

[0075] As can be seen, in this optional embodiment, the appropriate quality control scheme can be intelligently determined for different quality control categories. Specifically, for the on-site category, the target number of personnel and all quality control nodes can be intelligently determined to generate an on-site scheme. For the cloud monitoring category, the cloud monitoring scheme can be generated by combining the number of quality control devices with all quality control nodes, or by combining a polling mechanism to determine a polling scheme. This improves the accuracy and reliability of the scheme determination for each quality control category, and thus improves the accuracy and reliability of the final determined quality control scheme.

[0076] Please refer to the following: Figure 2 , Figure 2 This is a flowchart illustrating another quality control method for GIS equipment disclosed in an embodiment of the present invention. Figure 2 The described quality control method for GIS equipment can also be applied to quality control devices for GIS equipment based on smart portable devices, and includes the following steps:

[0077] Step 201: Obtain the equipment information of the GIS equipment to be inspected and the personnel information of the quality control personnel. The equipment information includes the equipment type of the GIS equipment to be inspected and the quantity of each equipment type in the equipment to be inspected.

[0078] Step 202: Based on the equipment information and personnel information, and in conjunction with the preset quality control classification, determine the quality control plan for the GIS equipment to be controlled. The quality control plan includes on-site plan and cloud monitoring plan.

[0079] Step 203: Based on the intelligent portable device, collect the equipment quality control results obtained by performing equipment quality control operations on the GIS equipment to be controlled according to the quality control plan. The equipment quality control results include on-site sub-control results and cloud monitoring results.

[0080] Step 204: Analyze the equipment quality control results to obtain the on-site analysis information corresponding to the on-site sub-control results and the cloud monitoring analysis information corresponding to the cloud monitoring results.

[0081] Step 205: When it is determined that the cloud monitoring analysis information indicates that there is a device among all the GIS devices under quality control that needs to be calibrated and requires the execution of a preset defect handling operation, determine the on-site calibration analysis information that matches the device to be calibrated in the on-site analysis information.

[0082] Step 206: When it is determined that the on-site calibration analysis information is consistent with the analysis information corresponding to the device to be calibrated in the cloud monitoring analysis information, it is determined that the device to be calibrated does not meet the preset device control requirements, and this is taken as the analysis result corresponding to the control information.

[0083] Step 207: When the analysis results indicate that the control information does not match the preset equipment control requirements, based on the analysis results and equipment control requirements, and in accordance with the determined defect handling process, perform defect handling operations on the equipment to be corrected in the GIS equipment to be controlled that does not meet the equipment control requirements.

[0084] For further descriptions of steps 201-202 and 207 in this embodiment of the invention, please refer to the specific descriptions of steps 101-102 and 104 in Embodiment 1, which will not be repeated here.

[0085] It is evident that implementation Figure 2 The described quality control method for GIS equipment sets up a verification process for the equipment to be calibrated. When the cloud monitoring analysis information indicates the existence of equipment to be calibrated, it can obtain the on-site calibration analysis information corresponding to the equipment to be calibrated from the on-site analysis information. When the two information are consistent, it is then confirmed that the equipment to be calibrated does not meet the equipment management requirements. This reduces the occurrence of misjudgment due to errors in the cloud monitoring analysis information, but the actual on-site information shows that the equipment to be calibrated is qualified. In other words, it improves the reliability of identifying the equipment to be calibrated.

[0086] In an optional embodiment, when it is determined that the on-site calibration analysis information and the analysis information corresponding to the device to be calibrated in the cloud monitoring analysis information are inconsistent, the method further includes:

[0087] Generate verification information for the device to be calibrated. The verification information is used to provide feedback to the personnel responsible for processing the GIS device to be quality control in the on-site scenario.

[0088] Based on the verification feedback information, update the on-site calibration analysis information and the analysis information corresponding to the equipment to be calibrated. The verification feedback information is the information returned by the processing personnel after verifying the equipment information of the equipment to be calibrated based on the verification information.

[0089] Based on the verification feedback information, the quality control plan is updated and aggregated into the historical quality control plan. The historical quality control plan is used to generate subsequent plans for GIS equipment to be inspected.

[0090] Optionally, when it is determined that the on-site calibration analysis information is inconsistent with the analysis information corresponding to the device to be calibrated in the cloud monitoring analysis information, the method further includes:

[0091] Perform secondary equipment quality control operations on the equipment to be calibrated to obtain the secondary quality control results corresponding to the equipment to be calibrated. The secondary quality control results include secondary on-site information and secondary cloud monitoring information.

[0092] When the secondary quality control results indicate that the secondary cloud monitoring information does not match the secondary on-site information, the secondary cloud monitoring information is updated based on the secondary on-site information and used as the analysis result corresponding to the control information.

[0093] When the secondary on-site information indicates that the equipment to be calibrated does not meet the equipment control requirements, it is determined that the equipment to be calibrated needs to undergo defect handling operations.

[0094] As can be seen, in this optional embodiment, two processing schemes are set up for the situation where the on-site calibration analysis information is inconsistent with the analysis information corresponding to the equipment to be calibrated. One scheme is to feed back the generated verification information to the processing personnel, and then update the quality control scheme based on the verification feedback information fed back by the processing personnel, so as to realize the equipment information verification of the equipment to be calibrated through manual verification; the other scheme is to directly and intelligently perform secondary equipment quality control operations on the calibrated equipment, and use the secondary quality control results as the basis for the analysis results of the control information, thereby improving the reliability and accuracy of the final analysis results of the control information.

[0095] Please refer to the following: Figure 3 , Figure 3This is a schematic diagram of the structure of a quality control device for GIS equipment disclosed in an embodiment of the present invention. The quality control device for GIS equipment can be a management and control terminal for GIS equipment quality control based on a smart portable device, or a management and control device for GIS equipment quality control based on a smart portable device, or a management and control system for GIS equipment quality control based on a smart portable device, or a management and control server for GIS equipment quality control based on a smart portable device. The management and control server for GIS equipment quality control based on a smart portable device can be a local server, a remote server, or a cloud server (also known as a cloud server). When the management and control server for GIS equipment quality control based on a smart portable device is a non-cloud server, it can communicate with a cloud server. This embodiment of the present invention does not impose limitations. Figure 3 As shown, the quality control device for the GIS equipment may include an acquisition module 301, a determination module 302, an analysis module 303, and a defect handling module 304, wherein:

[0096] The acquisition module 301 is used to acquire the equipment information of the GIS equipment to be inspected and the personnel information of the quality control personnel. The equipment information includes the equipment type of the GIS equipment to be inspected and the quantity of each equipment type in the equipment to be inspected. The quality control personnel are the personnel responsible for performing preset equipment quality control operations on the GIS equipment to be inspected.

[0097] The determination module 302 is used to determine the quality control plan for the GIS equipment to be controlled based on the equipment information and personnel information, combined with the preset quality control classification. The quality control plan includes the on-site plan and the cloud monitoring plan. The on-site plan is a plan to assign a number of quality control personnel to perform equipment quality control operations on the GIS equipment to be controlled in an offline supervision manner.

[0098] In this embodiment of the invention, the quality control classification includes on-site classification and cloud monitoring classification. On-site classification is the classification that requires the allocation of several quality control personnel to the on-site scenario corresponding to the GIS equipment to be controlled. On-site classification includes a first classification or a non-first classification. The first classification is the classification that requires the configuration of on-site management personnel to the on-site scenario. On-site management personnel are the personnel who perform equipment quality control operations on the GIS equipment to be controlled by on-site management quality control personnel. The quality control scheme generated corresponding to the on-site classification is the on-site scheme.

[0099] Cloud monitoring is categorized as a method of performing equipment quality control operations on GIS equipment under quality control by configuring quality control devices in on-site scenarios. The quality control solutions generated by cloud monitoring are cloud monitoring solutions.

[0100] Analysis module 303 is used to analyze the control information of the GIS equipment to be controlled based on the intelligent portable device, and obtain the analysis results corresponding to the control information. The control information includes the on-site control information obtained after the execution of the on-site plan and the cloud monitoring information obtained after the execution of the cloud monitoring plan.

[0101] The defect handling module 304 is used to perform defect handling operations on the equipment to be corrected that does not meet the equipment control requirements in the GIS equipment to be controlled when the analysis results indicate that the control information does not match the preset equipment control requirements, according to the analysis results and equipment control requirements and the determined defect handling process.

[0102] It is evident that implementation is as follows Figure 3 The quality control device for GIS equipment shown can intelligently acquire equipment information of the GIS equipment to be controlled and personnel information of the quality control personnel, improving the efficiency of acquiring and determining equipment and personnel information. It can then combine preset quality control categories with a comprehensive consideration of equipment information and personnel configuration to determine a quality control plan for the GIS equipment to be controlled, improving the efficiency and accuracy of the determined plan. Finally, for equipment identified as needing correction after implementing the quality control plan, it can automatically process the equipment according to the defect handling process, improving the efficiency and accuracy of processing the equipment to be corrected.

[0103] In an optional embodiment, such as Figure 4 As shown, the determining module 302 may include a determining submodule 3021, wherein:

[0104] The determination submodule 3021 is used to determine the target number of target personnel and all quality control nodes that match the number of GIS devices to be controlled for each equipment type when the quality control classification includes the on-site classification. Based on the determined target number of target personnel, all quality control nodes and the on-site classification, the on-site plan for all GIS devices to be controlled is determined. The quality control nodes are the nodes that perform equipment quality control operations.

[0105] When the on-site category is Category 1, the target personnel include quality control personnel and on-site management personnel; when the on-site category is not Category 1, the target personnel only include quality control personnel.

[0106] Optionally, the determination submodule 3021 is also used to determine the number of all quality control devices and all quality control nodes in the on-site scenario where the GIS equipment to be controlled is located, when the quality control category includes the cloud monitoring category.

[0107] And, such as Figure 4As shown, the determining module 302 also includes a judgment submodule 3022 and a polling submodule 3023, wherein:

[0108] The judgment submodule 3022 is used to determine whether the number of all quality control devices meets the number required to perform equipment quality control operations on the GIS equipment to be controlled. When the judgment result is yes, a cloud monitoring solution for all GIS equipment to be controlled is determined based on the number of all quality control devices, the equipment information of the GIS equipment to be controlled, and all quality control nodes.

[0109] The polling submodule 3023 is used to obtain a polling scheme based on the number of all quality control devices, the device information of the GIS equipment to be controlled, and all quality control nodes when the judgment result of the judgment submodule 3022 is negative. This polling scheme serves as a cloud monitoring scheme for all GIS equipment to be controlled. The polling scheme is used to perform equipment quality control operations on the GIS equipment to be controlled under the condition of the number of devices, and the execution degree of the equipment quality control operation meets the task execution threshold.

[0110] The determination submodule 3021 is also used to determine the determined on-site solution and cloud monitoring solution as the quality control solution for the GIS equipment to be controlled.

[0111] It is evident that the quality control device implemented in this GIS equipment can intelligently determine suitable quality control solutions for different quality control categories. Specifically, for the on-site category, it can intelligently determine the target number of personnel and all quality control nodes, thereby generating an on-site solution. For the cloud monitoring category, it can generate a cloud monitoring solution by considering the number of quality control devices and all quality control nodes, or by combining a polling mechanism to determine a polling solution. This improves the accuracy and reliability of solution determination for each quality control category, thus enhancing the accuracy and reliability of the final determined quality control solution.

[0112] In another optional embodiment, the analysis module 303 analyzes the control information of the GIS equipment to be controlled based on the smart portable device, and obtains the analysis results corresponding to the control information in the following specific ways:

[0113] Based on intelligent portable devices, the equipment quality control results are obtained by performing equipment quality control operations on the GIS equipment to be controlled according to the quality control plan. The equipment quality control results include on-site sub-control results and cloud monitoring results.

[0114] Analyze the equipment quality control results to obtain the on-site analysis information corresponding to the on-site sub-control results and the cloud monitoring analysis information corresponding to the cloud monitoring results;

[0115] When the cloud monitoring analysis information indicates that there are devices among all GIS devices under quality control that need to be calibrated and require pre-defined defect handling operations, determine the on-site calibration analysis information that matches the devices to be calibrated in the on-site analysis information.

[0116] When it is determined that the on-site calibration analysis information is consistent with the analysis information corresponding to the device to be calibrated in the cloud monitoring analysis information, it is determined that the device to be calibrated does not meet the preset device control requirements, and this is taken as the analysis result corresponding to the control information.

[0117] As can be seen, in this optional embodiment, a verification process for the device to be calibrated is set up. When it is determined that the cloud monitoring analysis information indicates the existence of a device to be calibrated, the on-site calibration analysis information corresponding to the device to be calibrated in the on-site analysis information can be obtained. When the two information are consistent, it is confirmed that the device to be calibrated does not meet the equipment management requirements. This reduces the occurrence of misjudgment of information due to errors in the cloud monitoring analysis information, but the actual on-site information shows that the device to be calibrated is a qualified device. In other words, it improves the reliability of the determination of the device to be calibrated.

[0118] In this optional embodiment, optionally, the analysis module 303 is also used for:

[0119] When it is determined that the on-site calibration analysis information is inconsistent with the analysis information corresponding to the device to be calibrated in the cloud monitoring analysis information, verification information is generated for the device to be calibrated. The verification information is used to feed back to the personnel responsible for processing the GIS device to be calibrated in the on-site scenario.

[0120] Based on the verification feedback information, update the on-site calibration analysis information and the analysis information corresponding to the equipment to be calibrated;

[0121] Based on the verification feedback information, the quality control plan is updated and aggregated into the historical quality control plan. The historical quality control plan is used to generate subsequent plans for GIS equipment to be inspected.

[0122] Optionally, the analysis module 303 is also used for:

[0123] When it is determined that the on-site calibration analysis information and the cloud monitoring analysis information are inconsistent with the analysis information of the device to be calibrated, a secondary equipment quality control operation is performed on the device to be calibrated to obtain the secondary quality control result of the device to be calibrated. The secondary quality control result includes secondary on-site information and secondary cloud monitoring information.

[0124] When the secondary quality control results indicate that the secondary cloud monitoring information does not match the secondary on-site information, the secondary cloud monitoring information is updated based on the secondary on-site information and used as the analysis result corresponding to the control information.

[0125] When the secondary on-site information indicates that the equipment to be calibrated does not meet the equipment control requirements, it is determined that the equipment to be calibrated needs to undergo defect handling operations.

[0126] It is evident that the implementation of this GIS equipment quality control device addresses the inconsistency between on-site calibration analysis information and the analysis information corresponding to the equipment to be calibrated by setting up two processing schemes. One scheme involves feeding back the generated calibration information to the processing personnel, and then updating the quality control scheme based on the calibration feedback information, thereby achieving equipment information verification of the equipment to be calibrated through manual verification. The other scheme involves directly and intelligently performing secondary equipment quality control operations on the calibrated equipment, and using the secondary quality control results as the benchmark for the analysis results of the control information, thus improving the reliability and accuracy of the final analysis results of the control information.

[0127] Please see Figure 5 , Figure 5 This is a structural schematic diagram of another quality control device for GIS equipment disclosed in an embodiment of the present invention. For example... Figure 5 As shown, the quality control device for this GIS equipment may include:

[0128] Memory 401 storing executable program code;

[0129] Processor 402 coupled to memory 401;

[0130] The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the quality control method for GIS equipment described in Embodiment 1 or Embodiment 2 of the present invention.

[0131] The present invention also discloses a non-transitory computer-readable storage medium storing a computer program, wherein the computer program, when running, controls the device where the non-transitory computer-readable storage medium is located to perform the steps in the quality control method for GIS equipment described in Embodiment 1 or Embodiment 2 of the present invention.

[0132] Preferably, the computer program can be divided into one or more modules / units (such as computer program 1, computer program 2, ...), and the one or more modules / units are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units can be a series of computer program instruction segments capable of performing a specific function, and the instruction segments are used to describe the execution process of the computer program in the device.

[0133] The processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor, or the processor can be any conventional processor. The processor is the control center of the device and connects the various parts of the device using various interfaces and lines.

[0134] The memory mainly includes a program storage area and a data storage area. The program storage area can store the operating system, applications required for at least one function, etc., while the data storage area can store related data, etc. Furthermore, the memory can be a high-speed random access memory, or a non-volatile memory, such as a plug-in hard drive, a smart media card (SMC), a secure digital card (SD), and a flash card, etc., or the memory can be other volatile solid-state storage devices.

[0135] It should be noted that the above-mentioned devices may include, but are not limited to, processors and memory, as will be understood by those skilled in the art.

[0136] As can be seen from the above description, compared with the prior art, the beneficial effects of the present invention are as follows: The present invention can intelligently acquire equipment information of GIS equipment to be inspected and personnel information of quality control personnel, thereby improving the efficiency of acquiring and determining equipment information and personnel information. Thus, it can combine preset quality control classifications, comprehensively consider equipment information and the configuration of quality control personnel, and then determine the quality control plan for the GIS equipment to be inspected, thereby improving the efficiency and accuracy of the determined quality control plan. Finally, for the equipment to be calibrated after the quality control plan is executed, the equipment to be calibrated can be automatically processed according to the defect handling process, thereby improving the processing efficiency and accuracy of the equipment to be calibrated.

[0137] The above description is merely a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. Therefore, any equivalent variations made in accordance with the claims of the present invention are still within the scope of the present invention.

Claims

1. A quality control method for GIS equipment, characterized in that, include: Obtain the equipment information of the GIS equipment to be inspected and the personnel information of the quality control personnel. The equipment information includes the equipment type of the GIS equipment to be inspected and the number of each equipment type in the GIS equipment to be inspected. The quality control personnel are the personnel responsible for performing preset equipment quality control operations on the GIS equipment to be inspected. Based on the equipment information and personnel information, and combined with the preset quality control classification, a quality control plan is determined for the GIS equipment to be inspected. The quality control plan includes an on-site plan and a cloud monitoring plan. The on-site plan is a plan that assigns several quality control personnel to perform the equipment quality control operation on the GIS equipment to be inspected in an offline supervision manner. The analysis results are obtained by analyzing the control information of the GIS equipment to be controlled based on the intelligent portable device. The control information includes the on-site control information obtained after executing the on-site plan and the cloud monitoring information obtained after executing the cloud monitoring plan. When the analysis result indicates that the control information does not match the preset equipment control requirements, according to the analysis result and the equipment control requirements, and in accordance with the determined defect handling process, the defect handling operation is performed on the GIS equipment to be corrected that does not meet the equipment control requirements; The analysis is based on the control information collected by the smart portable device for the GIS equipment to be controlled, and the analysis results corresponding to the control information are obtained, including: Based on the intelligent portable device, the equipment quality control results are obtained by performing the equipment quality control operation on the GIS equipment to be controlled according to the quality control scheme. The equipment quality control results include on-site sub-control results and cloud monitoring results. Analyze the equipment quality control results to obtain the on-site analysis information corresponding to the on-site sub-control results and the cloud monitoring analysis information corresponding to the cloud monitoring results; When it is determined that the cloud monitoring analysis information indicates that there is a device among all the GIS devices under quality control that needs to be calibrated and requires the execution of a preset defect handling operation, the on-site calibration analysis information that matches the device to be calibrated in the on-site analysis information is determined. When it is determined that the on-site calibration analysis information is consistent with the analysis information corresponding to the device to be calibrated in the cloud monitoring analysis information, it is determined that the device to be calibrated does not meet the preset device control requirements, and this is taken as the analysis result corresponding to the control information.

2. The quality control method for GIS equipment according to claim 1, characterized in that, The quality control classification includes on-site classification and cloud monitoring classification. The on-site classification is the classification that requires the allocation of several quality control personnel to the on-site scenario corresponding to the GIS equipment to be quality controlled. The on-site classification includes a first classification or a non-first classification. The first classification is the classification that requires the configuration of on-site management personnel to the on-site scenario. The on-site management personnel are the personnel who are on-site to manage the quality control personnel and perform the equipment quality control operation on the GIS equipment to be quality controlled. The quality control scheme generated corresponding to the on-site classification is the on-site scheme. The cloud monitoring category is defined as the category in which the quality control device configured in the on-site scenario performs the equipment quality control operation on the GIS equipment to be quality controlled, and the quality control scheme generated corresponding to the cloud monitoring category is the cloud monitoring scheme.

3. The quality control method for GIS equipment according to claim 2, characterized in that, The step of determining a quality control scheme for the GIS equipment to be controlled based on the equipment information and personnel information, combined with a preset quality control classification, includes: When the quality control classification includes the on-site classification, for each type of equipment corresponding to the GIS equipment to be quality controlled, a target number of target personnel and all quality control nodes are determined to match the number of equipment to be quality controlled for that type of equipment. Based on the determined target number of target personnel, all quality control nodes, and the on-site classification, an on-site plan is determined for all the GIS equipment to be quality controlled. The quality control node is the node that performs the equipment quality control operation. Wherein, when the on-site classification is the first classification, the target personnel include the quality control personnel and the on-site management personnel; when the on-site classification is not the first classification, the target personnel only include the quality control personnel.

4. The quality control method for GIS equipment according to claim 3, characterized in that, Also includes: When the quality control category includes the cloud monitoring category, determine the number of all quality control devices and all quality control nodes in the on-site scenario where the GIS device to be quality controlled is located; Determine whether the number of all the quality control devices meets the number required to perform the equipment quality control operation on the GIS equipment to be quality controlled. If the determination result is yes, determine a cloud monitoring scheme for all the GIS equipment to be quality controlled based on the number of all the quality control devices, the equipment information of the GIS equipment to be quality controlled, and all the quality control nodes. When the judgment result is negative, a polling scheme is obtained based on the number of all quality control devices, the device information of the GIS device to be quality controlled, and all the quality control nodes, combined with a preset polling mechanism. This polling scheme is used as a cloud monitoring scheme for all the GIS devices to be quality controlled. The polling scheme is used to perform the device quality control operation on the GIS device to be quality controlled under the condition of the number of devices, and the operation execution degree of the device quality control operation meets the task execution threshold. The determined on-site solution and cloud monitoring solution are used as the quality control solution for the GIS equipment to be inspected.

5. The quality control method for GIS equipment according to claim 4, characterized in that, When it is determined that the on-site calibration analysis information is inconsistent with the analysis information corresponding to the device to be calibrated in the cloud monitoring analysis information, the method further includes: Generate verification information for the device to be calibrated, and the verification information is used to feed back to the personnel responsible for processing the GIS device to be quality control in the on-site scenario; Based on the verification feedback information, update the on-site calibration analysis information and the analysis information corresponding to the device to be calibrated. The verification feedback information is the information returned by the processing personnel after verifying the device information of the device to be calibrated based on the verification information. Based on the verification feedback information, the quality control scheme is updated and aggregated into the historical quality control scheme. The historical quality control scheme is used to generate a scheme for the GIS equipment to be inspected in the future.

6. The quality control method for GIS equipment according to claim 5, characterized in that, When it is determined that the on-site calibration analysis information is inconsistent with the analysis information corresponding to the device to be calibrated in the cloud monitoring analysis information, the method further includes: A secondary equipment quality control operation is performed on the equipment to be calibrated to obtain the secondary quality control result corresponding to the equipment to be calibrated. The secondary quality control result includes secondary on-site information and secondary cloud monitoring information. When the secondary quality control result indicates that the secondary cloud monitoring information does not match the secondary on-site information, the secondary cloud monitoring information is updated according to the secondary on-site information and used as the analysis result corresponding to the control information. Specifically, when the secondary on-site information indicates that the equipment to be calibrated does not meet the equipment control requirements, it is determined that the equipment to be calibrated needs to undergo defect handling operations.

7. A quality control device for GIS equipment, characterized in that, include: The acquisition module is used to acquire equipment information of the GIS equipment to be inspected and personnel information of the quality control personnel. The equipment information includes the equipment type of the GIS equipment to be inspected and the number of equipment of each equipment type in the GIS equipment to be inspected. The quality control personnel are the personnel responsible for performing preset equipment quality control operations on the GIS equipment to be inspected. The determination module is used to determine a quality control plan for the GIS equipment to be inspected based on the equipment information and the personnel information, combined with a preset quality control classification. The quality control plan includes an on-site plan and a cloud monitoring plan. The on-site plan is a plan that assigns several quality control personnel to perform the equipment quality control operation on the GIS equipment to be inspected in an offline supervision manner. The analysis module is used to analyze the control information of the GIS equipment to be controlled based on the intelligent portable device, and obtain the analysis results corresponding to the control information. The control information includes the on-site control information obtained after executing the on-site plan and the cloud monitoring information obtained after executing the cloud monitoring plan. The defect handling module is used to perform defect handling operations on the GIS equipment to be corrected that does not meet the equipment control requirements in the GIS equipment to be controlled when the analysis result indicates that the control information does not match the preset equipment control requirements, according to the analysis result and the equipment control requirements, and in accordance with the determined defect handling process. The analysis module is specifically used for: collecting equipment quality control results obtained by performing equipment quality control operations on the GIS equipment to be controlled according to the quality control scheme based on a smart portable device, wherein the equipment quality control results include on-site sub-control results and cloud monitoring results; analyzing the equipment quality control results to obtain on-site analysis information corresponding to the on-site sub-control results and cloud monitoring analysis information corresponding to the cloud monitoring results; When it is determined that the cloud monitoring analysis information indicates that there is a device among all the GIS devices under quality control that needs to be calibrated and requires a preset defect handling operation, the on-site calibration analysis information matching the device under calibration is determined in the on-site analysis information; when it is determined that the on-site calibration analysis information is consistent with the analysis information corresponding to the device under calibration in the cloud monitoring analysis information, it is determined that the device under calibration does not meet the preset equipment control requirements, and this is taken as the analysis result corresponding to the control information.

8. A quality control device for GIS equipment, characterized in that, include: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the GIS equipment quality control method as described in any one of claims 1-6.

9. A non-transitory computer-readable storage medium, characterized in that, The non-transitory computer-readable storage medium stores a computer program that, when running, controls the device containing the non-transitory computer-readable storage medium to perform the GIS equipment quality control method as described in any one of claims 1-6.

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