Method and device for automated acceptance of low-voltage metering equipment, computer device, readable storage medium and program product

Abstract

This application relates to an automated acceptance method, apparatus, computer equipment, readable storage medium, and program product for low-voltage metering equipment. The method includes: sequentially scheduling reusable acceptance components according to a preset order on a flowchart; for the currently running component, obtaining the required inspection data from the low-voltage metering equipment's entire lifecycle data, inputting it into the corresponding acceptance processing function, and outputting the current inspection result data; determining the first reusable acceptance component to be scheduled after the current component starts running, based on the preset order, and simultaneously matching a second reusable acceptance component with a data dependency relationship based on the current inspection result data; finally, invoking preset multi-dimensional acceptance rules, comparing the running results of the first and second components, and calculating the completeness index of the acceptance process. The method provided in this application can improve the reliability of accepting low-voltage metering equipment.

Description

Technical Field

[0001] This application relates to the field of equipment acceptance technology, and in particular to an automated acceptance method, apparatus, computer equipment, computer-readable storage medium, and computer program product for low-pressure metering equipment. Background Technology

[0002] In recent years, against the backdrop of power grid companies' comprehensive promotion of digital and intelligent transformation, metering operations are rapidly evolving from a traditional manual-dominated model towards process automation and intelligent decision-making. Low-voltage metering equipment, as a crucial infrastructure for power data acquisition and business settlement, is characterized by its large quantity and wide distribution, involving various components such as concentrators, carrier communication modules, and branch circuits. Its acceptance quality directly affects the accuracy of metering data and the reliability of operation and management. Currently, the acceptance of low-voltage metering equipment is mainly conducted by staff based on historical acceptance experience, a method with relatively poor reliability. Summary of the Invention

[0003] Therefore, it is necessary to provide an automated acceptance method, apparatus, computer equipment, computer-readable storage medium, and computer program product for low-voltage metering equipment that can improve the reliability of acceptance testing of low-voltage metering equipment, in response to the above-mentioned technical problems.

[0004] In a first aspect, this application provides an automated acceptance method for low-pressure metering equipment, the method comprising:

[0005] Based on the preset running order of the process canvas, any reusable acceptance component is scheduled and run sequentially; for the currently running reusable acceptance component, the current data to be inspected required by the current reusable acceptance component is obtained from the full life cycle data of the low-voltage metering equipment.

[0006] The current data to be inspected is input into the corresponding acceptance processing function of the current reusable acceptance component, and the current inspection result data of the current reusable acceptance component is output.

[0007] Based on the running order, determine the first reusable acceptance component to be scheduled after the current reusable acceptance component has finished running; based on the current inspection result data, determine the second reusable acceptance component that has a data dependency relationship.

[0008] By invoking preset multi-dimensional acceptance rules, the running results of the first reusable acceptance component and the second reusable acceptance component are compared to obtain the completeness index of the acceptance process.

[0009] In one embodiment, the step of matching and determining a second reusable acceptance component with a data dependency based on the current inspection result data includes:

[0010] Identify at least one third reusable acceptance component that has a data dependency relationship with the current reusable acceptance component, and a preset data range corresponding to any third reusable acceptance component;

[0011] For any third reusable acceptance component, if the current inspection result data is within the corresponding preset data range of the third reusable acceptance component, the third reusable acceptance component is determined as the second reusable acceptance component.

[0012] In one embodiment, the step of invoking preset multi-dimensional acceptance rules to compare the running results of the first reusable acceptance component and the second reusable acceptance component to obtain a completeness index of the acceptance process includes:

[0013] Determine at least one reusable acceptance component corresponding to any given multidimensional acceptance rule;

[0014] For any given multidimensional acceptance rule, obtain the inspection result data of all reusable acceptance components corresponding to the multidimensional acceptance rule;

[0015] If the test results of all the reusable acceptance components meet the multi-dimensional acceptance rules, the low-pressure metering equipment is determined to meet the multi-dimensional acceptance rules.

[0016] If the low-pressure metering equipment meets all the aforementioned multi-dimensional acceptance rules, the low-pressure metering equipment is determined to have passed acceptance.

[0017] In one embodiment, the step of invoking preset multi-dimensional acceptance rules to compare the running results of the first reusable acceptance component and the second reusable acceptance component to obtain a completeness index of the acceptance process includes:

[0018] If the first reusable acceptance component and the second reusable acceptance component are inconsistent, the second reusable acceptance component shall be run after the current reusable acceptance component has finished running.

[0019] In one embodiment, the method further includes:

[0020] Obtain the component identifier of any component in the low-pressure metering equipment, as well as the anomaly summary generated during the acceptance process of the low-pressure metering equipment;

[0021] A push strategy for obtaining the acceptance results of the low-pressure metering equipment in real time is implemented, and based on the push strategy, the component identifier, the anomaly summary, and the acceptance results of the low-pressure metering equipment are sent to the user terminal.

[0022] In one embodiment, the strategy for real-time acquisition of the acceptance results for the low-voltage metering equipment includes:

[0023] The running status of any reusable acceptance component can be obtained in real time; wherein, the running status includes non-running status, running status, running completed status, and running abnormal status.

[0024] Obtain the total number of all reusable acceptance components and the number of reusable acceptance components whose running status is the completed state, and obtain the ratio between the number of components and the total number.

[0025] Based on the ratio, a push strategy for the acceptance results of the low-pressure metering equipment is obtained.

[0026] Secondly, this application also provides an automated acceptance device for low-pressure metering equipment, the device comprising:

[0027] The running module is used to schedule and run any reusable acceptance component in sequence based on the preset running order of the process canvas; for the currently running reusable acceptance component, it obtains the current data to be inspected required by the current reusable acceptance component from the full life cycle data of the low-voltage metering equipment.

[0028] The input module is used to input the current data to be inspected into the corresponding acceptance processing function of the current reusable acceptance component, and output the current inspection result data of the current reusable acceptance component.

[0029] The determination module is used to determine, based on the running order, the first reusable acceptance component to be scheduled after the current reusable acceptance component has finished running; and to match and determine the second reusable acceptance component with a data dependency relationship based on the current inspection result data.

[0030] The calling module is used to invoke preset multi-dimensional acceptance rules, compare the running results of the first reusable acceptance component and the second reusable acceptance component, and obtain the completeness index of the acceptance process.

[0031] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the methods in any of the above embodiments.

[0032] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, implements the steps of the methods in any of the above embodiments.

[0033] Fifthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, implements the steps of the methods in any of the above embodiments.

[0034] The aforementioned automated acceptance method, device, computer equipment, computer-readable storage medium, and computer program product for low-voltage metering equipment, based on a preset operating sequence in the process canvas, sequentially schedules and runs any reusable acceptance component. For the currently running reusable acceptance component, it obtains the current data to be inspected from the full lifecycle data of the low-voltage metering equipment. The current data to be inspected is input into the corresponding acceptance processing function of the current reusable acceptance component, and the corresponding current inspection result data is output. Based on the operating sequence, the first reusable acceptance component to be scheduled after the current reusable acceptance component completes its operation is determined. Based on the current inspection result data, a second reusable acceptance component with a data dependency relationship is matched and determined. Preset multi-dimensional acceptance rules are invoked to compare the operating results of the first and second reusable acceptance components to obtain the completeness index of the acceptance process. The method provided in this application schedules reusable components according to a preset order on the process canvas, accurately acquires the data to be inspected by combining full lifecycle data, ensures the standardization of acceptance execution and the accuracy of data sources, and improves reliability from the source of execution; the component-specific acceptance processing function outputs the inspection results, realizing the standardization and modularization of acceptance operations, avoiding human operation deviations, and ensuring the consistency of result output; the method determines subsequent components from two dimensions, following the preset running order and matching data-dependent components based on results, taking into account both process rigor and execution adaptability, and avoiding missing acceptance links; the method compares the component running results and quantifies the completeness of acceptance by relying on multi-dimensional acceptance rules, so that the acceptance judgment has a unified basis and the process is quantifiable, improving the accuracy of acceptance judgment and process controllability, and ensuring the overall reliability of the acceptance work. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 This is a flowchart illustrating an automated acceptance method for low-pressure metering equipment in one embodiment.

[0037] Figure 2 This is a flowchart illustrating the second reusable acceptance component determination step in one embodiment;

[0038] Figure 3 This is a flowchart illustrating an automated acceptance method for low-pressure metering equipment in another embodiment;

[0039] Figure 4 This is a structural block diagram of an automated acceptance device for low-pressure metering equipment in one embodiment.

[0040] Figure 5 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0041] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0042] It should be noted that the terms "first," "second," etc., used in this application can be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "comprising" and "having," and any variations thereof, used in this application, are intended to cover non-exclusive inclusion. The term "multiple" used in this application refers to two or more. The term "and / or" used in this application refers to one of the embodiments, or any combination of multiple embodiments.

[0043] In one embodiment, such as Figure 1 As shown, an automated acceptance method for low-pressure metering equipment is provided. This embodiment illustrates the method applied to a terminal, but it is understood that the method can also be applied to a server, or to a system including both a terminal and a server, and implemented through interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0044] S102. Based on the preset running sequence of the process canvas, schedule and run any reusable acceptance component in sequence; for the currently running reusable acceptance component, obtain the current test data required by the current reusable acceptance component from the full life cycle data of the low-voltage metering equipment.

[0045] Optionally, based on the common capabilities and differentiated needs of low-voltage metering equipment acceptance operations, the acceptance process is functionally decomposed and its capabilities abstracted to construct a reusable acceptance component library for the low-voltage acceptance automation intelligent agent. For core acceptance links such as concentrator communication status verification, carrier communication quality detection, branch loop topology consistency verification, and metering parameter rationality verification, the corresponding acceptance functions of each acceptance link are encapsulated as independent reusable acceptance components (RC). Each component adopts a unified data interface specification and operation description model to reduce the coupling between components and improve the reusability across devices and scenarios.

[0046] Optionally, after completing the construction of the reusable acceptance component library, a ProcessCanvas (PC) is further introduced to uniformly model and visually orchestrate the acceptance process of low-voltage metering equipment. The ProcessCanvas presents the acceptance process in a graphical way, transforming complex business logic into a flowchart structure composed of nodes and connections, enabling business personnel to configure and adjust the acceptance process by dragging and dropping, thereby reducing reliance on professional developers. The ProcessCanvas supports various control structures such as sequential execution, conditional branching, and parallel execution.

[0047] Optionally, during the operation of reusable acceptance components, the process engine schedules each reusable acceptance component to run sequentially according to the structure defined by the process canvas, and passes the context of the results returned by the components. To ensure the stability and consistency of the process operation, a process status mechanism is further introduced to identify the running status of each process instance, including states such as pending execution, in execution, completed, and abnormal, thereby realizing real-time monitoring and abnormal backtracking of the process execution process.

[0048] Optionally, the full lifecycle data of low-voltage metering equipment may include, but is not limited to, equipment parameters, operating status, and historical records from metering systems, communication systems, or asset management systems.

[0049] S104. Input the current data to be inspected into the corresponding acceptance processing function of the current reusable acceptance component, and output the current inspection result data of the current reusable acceptance component.

[0050] Alternatively, any reusable acceptance component can be represented as follows:

[0051]

[0052] In the formula, The data is to be tested; It is a reusable acceptance component; The acceptance processing function is encapsulated within a reusable component and can be used, but is not limited to, to perform communication quality calculations, feature extraction, or rule judgments. The test result data output by the reusable acceptance component may include, but is not limited to, communication success rate, loop connectivity status indicator, or anomaly label.

[0053] Optionally, to enhance the adaptability of reusable acceptance components, a parameterized configuration mechanism is introduced within the components. This allows the reusable acceptance components to adapt to different models and manufacturers of low-voltage metering equipment by adjusting threshold and judgment strategy parameters without modifying the program logic. Simultaneously, a component registration and version management mechanism enables dynamic loading and upgrades of components, avoiding the impact on the overall system caused by functional adjustments in traditional monolithic systems. This lays the foundation for subsequent process orchestration and intelligent decision-making.

[0054] S106. Based on the running order, determine the first reusable acceptance component that will be scheduled after the current reusable acceptance component has finished running; based on the current inspection result data, match and determine the second reusable acceptance component that has a data dependency relationship.

[0055] Optionally, if the execution order is The currently reusable acceptance component is a reusable acceptance component. Then the first reusable acceptance component is a reusable acceptance component. .

[0056] Optionally, in order to make the acceptance results of low-pressure metering equipment more reliable, the most reasonable reusable acceptance component can be selected from the currently unexecuted reusable acceptance components as the second reusable acceptance component, based on the size of the current test result data.

[0057] S108. Call the preset multi-dimensional acceptance rules to compare the running results of the first reusable acceptance component and the second reusable acceptance component to obtain the integrity index of the acceptance process.

[0058] Optionally, the multi-dimensional acceptance rules are standardized, configurable, multi-dimensional constraint judgment logic built on a rule engine to determine whether the low-pressure metering equipment has passed acceptance.

[0059] In the aforementioned automated acceptance method for low-voltage metering equipment, based on the preset operating sequence of the process canvas, any reusable acceptance component is scheduled and run sequentially. For the currently running reusable acceptance component, the current data to be inspected is obtained from the full lifecycle data of the low-voltage metering equipment. The current data to be inspected is input into the corresponding acceptance processing function of the current reusable acceptance component, and the corresponding current inspection result data of the current reusable acceptance component is output. Based on the operating sequence, the first reusable acceptance component to be scheduled after the current reusable acceptance component has finished running is determined. Based on the current inspection result data, the second reusable acceptance component with data dependency is matched and determined. The preset multi-dimensional acceptance rules are called to compare the operating results of the first and second reusable acceptance components to obtain the completeness index of the acceptance process. The method provided in this application schedules reusable components according to a preset order on the process canvas, accurately acquires the data to be inspected by combining full lifecycle data, ensures the standardization of acceptance execution and the accuracy of data sources, and improves reliability from the source of execution; the component-specific acceptance processing function outputs the inspection results, realizing the standardization and modularization of acceptance operations, avoiding human operation deviations, and ensuring the consistency of result output; the method determines subsequent components from two dimensions, following the preset running order and matching data-dependent components based on results, taking into account both process rigor and execution adaptability, and avoiding missing acceptance links; the method compares the component running results and quantifies the completeness of acceptance by relying on multi-dimensional acceptance rules, so that the acceptance judgment has a unified basis and the process is quantifiable, improving the accuracy of acceptance judgment and process controllability, and ensuring the overall reliability of the acceptance work.

[0060] In some embodiments, such as Figure 2 As shown, based on the current inspection result data, a second reusable acceptance component with a data dependency relationship is identified, including:

[0061] S202, determine at least one third reusable acceptance component that has a data dependency relationship with the current reusable acceptance component, and the corresponding preset data range of any third reusable acceptance component.

[0062] S204. For any third reusable acceptance component, if the current inspection result data is within the corresponding preset data range of the third reusable acceptance component, the third reusable acceptance component shall be determined as the second reusable acceptance component.

[0063] Optionally, different reusable acceptance components can be executed sequentially or in parallel, and this application embodiment does not specifically limit this.

[0064] Optionally, data dependency refers to the need for the third reusable acceptance component to determine whether to execute based on the size of the current inspection result data of the current reusable acceptance component.

[0065] In this embodiment, candidate components are selected based on data dependencies to accurately match related links in the acceptance process, avoiding invalid component scheduling and ensuring the relevance and specificity of acceptance execution. Subsequent components are determined based on preset data ranges as trigger conditions, making component scheduling strongly correlated with the current inspection results, and achieving dynamic intelligent adaptation of the acceptance process. Standardized component matching and triggering logic reduces manual intervention, improves the automation level of the acceptance process, and ensures the consistency and accuracy of scheduling decisions. In line with the flexible arrangement concept of the process canvas, the adaptability and scalability of the acceptance process are enhanced, adapting to the acceptance requirements of different equipment states and improving the overall reliability of the acceptance.

[0066] In some embodiments, a preset multi-dimensional acceptance rule is invoked to compare the operation results of the first reusable acceptance component and the second reusable acceptance component to obtain a completeness index of the acceptance process. This includes: determining at least one reusable acceptance component corresponding to any multi-dimensional acceptance rule; for any multi-dimensional acceptance rule, obtaining the inspection result data of all reusable acceptance components corresponding to the multi-dimensional acceptance rule; if the inspection result data of all reusable acceptance components meet the multi-dimensional acceptance rule, determining that the low-voltage metering equipment meets the multi-dimensional acceptance rule; and if the low-voltage metering equipment meets all the multi-dimensional acceptance rules, determining that the low-voltage metering equipment passes the acceptance.

[0067] Optionally, a multidimensional feature vector composed of inspection result data from different reusable acceptance components can be constructed. ;in, These are all test result data for reusable acceptance components, for example, It can represent the online rate of the concentrator. Indicates the success rate of carrier communication. Indicates the completeness of the connection of the branch loop. This indicates the deviation value of the measurement parameter.

[0068] Alternatively, the following formula can be used to determine whether the low-pressure metering equipment has passed acceptance:

[0069]

[0070] In the formula, k represents the total number of multidimensional acceptance rules; (symbol) This indicates a logical AND operation, whereby the low-pressure metering equipment is deemed to have passed acceptance only if all multi-dimensional acceptance rules are met. This represents any multidimensional acceptance rule.

[0071] Optionally, to enhance the interpretability of the judgment results, the rule trigger path and the set of unmet rules are output synchronously in the rule engine to generate an explanation of the cause of the anomaly, thereby providing a clear basis for subsequent operation and maintenance analysis and rectification.

[0072] In this embodiment, reusable acceptance components are matched according to multi-dimensional acceptance rules, achieving precise correlation between rules and acceptance processes. This ensures that acceptance judgments cover the core dimensions of the equipment, improving the comprehensiveness and accuracy of the judgments. Verification rules correspond to the inspection result data of all components, and all components must meet the rules to be considered satisfactory. This constructs a standardized and rigorous judgment logic, avoiding misjudgments caused by deviations in the results of a single component, and ensuring the reliability of the acceptance results. Equipment is deemed to have passed acceptance only if all multi-dimensional acceptance rules are met. This layered verification method makes the acceptance conclusion more rigorous, unifies the judgment standards, avoids subjective human bias, and improves the consistency of acceptance. Judgments are completed based on the quantitative comparison between component operation results and multi-dimensional rules. The acceptance process is traceable, and the results are verifiable. At the same time, the acceptance completeness index is quantified, enabling refined management of the acceptance process and further improving the overall reliability of the acceptance work.

[0073] In some embodiments, a preset multi-dimensional acceptance rule is invoked to compare the running results of the first reusable acceptance component and the second reusable acceptance component to obtain the completeness index of the acceptance process, including: if the first reusable acceptance component and the second reusable acceptance component are inconsistent, the second reusable acceptance component is run after the current reusable acceptance component has finished running.

[0074] Optionally, for example, if the current inspection result data is a communication quality test result, and the current inspection result data is lower than a preset threshold, the reusable acceptance component used for anomaly analysis is determined as the second reusable acceptance component, and the second reusable acceptance component is executed; if the current inspection result data is not lower than the preset threshold, the second reusable acceptance component is consistent with the first reusable acceptance component.

[0075] In this embodiment, when components are inconsistent, the execution of a second reusable acceptance component is triggered, enabling dynamic supplementary testing of the acceptance process, avoiding the omission of core acceptance steps, and ensuring comprehensive acceptance coverage. The component matching result serves as the scheduling basis, strongly linking acceptance execution with the actual equipment inspection status, improving process adaptability, and avoiding invalid execution or missed inspections. Automated triggering of subsequent component execution reduces manual intervention, improves the automation level of the acceptance process, and ensures the consistency and accuracy of scheduling logic. Dynamically adjusting component execution strategies aligns with the flexible orchestration of the process canvas and the design concept of reusable components, adapting to the acceptance requirements of different equipment and further enhancing the reliability of acceptance results.

[0076] In some embodiments, the method further includes: obtaining the component identifier of any component in the low-pressure metering equipment and the anomaly summary generated during the acceptance process of the low-pressure metering equipment; obtaining the push strategy for the acceptance results of the low-pressure metering equipment in real time, and sending the component identifier, anomaly summary, and acceptance results of the low-pressure metering equipment to the user terminal based on the push strategy.

[0077] Among them, the anomaly summary represents the anomaly description information of the abnormal situations that occur during the acceptance process of low-pressure metering equipment.

[0078] Optionally, the system can also obtain a set of test results for any component in the low-voltage metering equipment and send the component type identifier and the corresponding set of test results to the user terminal; wherein, the components in the low-voltage metering equipment may include, but are not limited to, concentrators, carrier modules and branch circuits.

[0079] Optionally, the set of test results can be mapped to an interactive message object, and its mapping function can be defined as: Where M represents the message received by the user terminal. To verify the result set, U is the set of user terminals, and T is the message type parameter of the messages received by the user terminals. T is used to distinguish different interaction scenarios such as progress notifications, result pushes, or report releases.

[0080] Optionally, on the user side, the message center supports querying, confirming, and recording the acceptance results. The platform records the message viewing status through a user interaction confirmation function, the expression of which is:

[0081]

[0082] In this embodiment, the push of acceptance results along with component identifiers and anomaly summaries allows users to accurately locate faulty components and the core of the problem, improving the pertinence and efficiency of handling acceptance anomalies; real-time matching of push strategies and distribution of acceptance information ensures the timeliness of acceptance result delivery and meets the real-time management needs of high-frequency acceptance scenarios; one-stop push of component identifiers, anomaly summaries, and acceptance results to user terminals simplifies the information acquisition process and improves the ease of operation for business personnel.

[0083] In some embodiments, a strategy for real-time acquisition of acceptance results for low-voltage metering equipment includes: real-time acquisition of the operating status of any reusable acceptance component; wherein the operating status includes non-operating status, operating status, operating completed status, and operating abnormal status; acquisition of the total number of all reusable acceptance components and the number of reusable acceptance components whose operating status is operating completed, and acquisition of the ratio between the number of components and the total number; and acquisition of a strategy for acquiring acceptance results for low-voltage metering equipment based on the ratio.

[0084] Optionally, the execution status of all reusable acceptance components can be represented as ,in, This represents the execution state of the nth reusable acceptance component at time t. By recording and analyzing the state sequence, the acceptance process can be traced back and abnormal nodes can be accurately located.

[0085] Optionally, the ratio of the number of components to the total number represents the integrity index of the acceptance status of the low-voltage metering equipment. The process of determining the push strategy can be shown in the following formula:

[0086]

[0087] In the formula, C is the ratio between the number of components and the total number. This is the push strategy when the acceptance process is not completed. This is the push strategy after the acceptance process is completed.

[0088] In this embodiment, the push strategy is dynamically determined based on the execution progress ratio of the reusable acceptance components, so as to realize the intelligent and phased push of acceptance results, avoid invalid or repeated pushes, and improve the accuracy of information push; the execution status of the reusable acceptance components is monitored in real time, so as to facilitate timely grasp of the acceptance progress and abnormal situations, and improve the controllability and transparency of the acceptance process.

[0089] In one exemplary embodiment, such as Figure 3 As shown, another automated acceptance method for low-pressure metering equipment is provided, which includes the following:

[0090] (1) Reusable construction of intelligent agent functional components

[0091] To address the common capabilities and differentiated needs of low-voltage metering equipment acceptance testing, this paper deconstructs and abstracts acceptance capabilities, constructing a reusable component library. Core acceptance functions, such as concentrator communication status verification and carrier communication quality detection, are encapsulated as independent intelligent agent functional components. All components adopt a unified data interface specification and operational description model to reduce coupling. Each reusable component is formally defined with an input dataset, processing logic function, and output result set. The input data comes from equipment parameters, operating status, and historical records from the metering, communication, and asset management systems. The processing logic function performs operations such as communication quality calculation and feature extraction, and the output results are intermediate results such as communication success rate or acceptance indicators. A parameterization mechanism is also configured for the components, allowing them to be adapted to different models and manufacturers of low-voltage equipment by adjusting parameters. Combined with a component registration and version management mechanism, dynamic loading and upgrades of components are achieved without affecting the overall system operation.

[0092] (2) Visual orchestration of low-voltage acceptance process based on process canvas

[0093] Building upon a reusable component library, a process canvas is introduced to present the acceptance business logic in a graphical node and connection structure. Business personnel can configure and adjust the acceptance process through drag-and-drop, reducing reliance on specialized developers. Each acceptance process consists of multiple reusable components combined according to execution order or data dependencies. The process canvas supports various control structures such as sequential execution, conditional branching, and parallel execution, and can trigger different subsequent processes based on the acceptance results. The process engine schedules the execution of each component according to the process canvas definition and implements contextual passing of component results. A process status mechanism is also introduced to identify the status of each process instance, such as pending execution, in progress, completed, and exception, enabling real-time monitoring and exception backtracking of the acceptance process.

[0094] (3) Automated acceptance judgment based on rule engine and feature matching

[0095] By leveraging the output of reusable preceding components, a multi-dimensional feature vector reflecting the operational and communication characteristics of the equipment under acceptance is constructed. This vector includes core indicators such as concentrator online rate, carrier communication success rate, branch loop connectivity integrity, and metering parameter deviation. A rule engine is used to uniformly determine the acceptance results. The engine pre-configures multiple acceptance rules, each applying threshold, range, or logical combination judgments to one or more dimensions of the feature vector. The overall acceptance result is determined using a logical AND operation; the equipment is considered accepted only when all rules are satisfied. Simultaneously, the rule engine outputs the rule trigger paths and the set of unmet rules, generating explanations of the anomalies to provide a basis for operational analysis and rectification.

[0096] (4) Integration of low-voltage equipment acceptance results with modeling and process monitoring

[0097] A fusion model for acceptance results of various low-voltage devices, including concentrators, carrier communication modules, and branch circuits, is constructed. Sub-result sets are generated for different equipment units within the same acceptance task, and then integrated into a task-level acceptance result using a unified data fusion function. Each sub-result set includes equipment identifiers, feature vectors, rule matching results, and anomaly descriptions. An acceptance status function is introduced at the process execution layer to continuously track the execution status of each component and decision node in the process canvas at different times, enabling traceability of the acceptance process and precise location of anomaly nodes. Simultaneously, an acceptance process completeness index is calculated, using the ratio of the number of process nodes that have completed acceptance judgments to the total number of nodes in the process canvas, to measure the sufficiency of the acceptance task execution and provide a basis for subsequent acceptance result release.

[0098] (5) Mapping, pushing and interactive confirmation of acceptance results based on message center

[0099] Structured task-level acceptance results are transformed into interactive message objects through mapping functions. These message objects contain information such as device type, acceptance conclusion, anomaly summary, and report link. The mapping process combines the set of receiving users and message type parameters to differentiate between different interaction scenarios, such as progress notifications, result pushes, and report publications. A message push scheduling function is introduced, which formulates different push strategies based on the completeness index of the acceptance process. When the index is below 1, an acceptance progress message is pushed; when the index is 1, a complete acceptance result and report are pushed, making the acceptance process perceptible and the results instantly available. The message center supports user querying, confirmation, and traceability management of acceptance results. User interaction confirmation functions record the user's message viewing status, and statistical analysis of the confirmation status enables closed-loop management of acceptance result publication, ensuring effective communication and traceability of acceptance information.

[0100] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0101] Based on the same inventive concept, this application also provides an automated acceptance device for low-pressure metering equipment, which implements the automated acceptance method for low-pressure metering equipment described above. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more embodiments of the automated acceptance device for low-pressure metering equipment provided below can be found in the limitations of the automated acceptance method for low-pressure metering equipment described above, and will not be repeated here.

[0102] In one exemplary embodiment, such as Figure 4 As shown, an automated acceptance device 400 for low-pressure metering equipment is provided, comprising: an operation module 401, an input module 402, a determination module 403, and a calling module 404, wherein:

[0103] The running module 401 is used to schedule and run any reusable acceptance component in sequence based on the preset running order of the process canvas; for the currently running reusable acceptance component, it obtains the current test data required by the current reusable acceptance component from the full life cycle data of the low-voltage metering equipment.

[0104] The input module 402 is used to input the current data to be inspected into the corresponding acceptance processing function of the current reusable acceptance component, and output the current inspection result data of the current reusable acceptance component.

[0105] The determination module 403 is used to determine, based on the running order, the first reusable acceptance component to be scheduled after the current reusable acceptance component has finished running; and to match and determine the second reusable acceptance component with a data dependency relationship based on the current inspection result data.

[0106] Module 404 is invoked to call preset multi-dimensional acceptance rules to compare the running results of the first reusable acceptance component and the second reusable acceptance component to obtain the integrity index of the acceptance process.

[0107] In some embodiments, the determining module 403 is further configured to determine at least one third reusable acceptance component that has a data dependency relationship with the current reusable acceptance component, and a preset data range corresponding to any third reusable acceptance component; for any third reusable acceptance component, if the current inspection result data is within the preset data range corresponding to the third reusable acceptance component, the third reusable acceptance component is determined as the second reusable acceptance component.

[0108] In some embodiments, the calling module 404 is further configured to determine at least one reusable acceptance component corresponding to any multidimensional acceptance rule; for any multidimensional acceptance rule, obtain the inspection result data of all reusable acceptance components corresponding to the multidimensional acceptance rule; if the inspection result data of all reusable acceptance components conforms to the multidimensional acceptance rule, determine that the low-voltage metering equipment meets the multidimensional acceptance rule; if the low-voltage metering equipment meets all the multidimensional acceptance rules, determine that the low-voltage metering equipment passes acceptance.

[0109] In some embodiments, the calling module 404 is further configured to run the second reusable acceptance component after the current reusable acceptance component has finished running, in the case that the first reusable acceptance component and the second reusable acceptance component are inconsistent.

[0110] In some embodiments, the automated acceptance device 400 for low-pressure metering equipment is specifically used to obtain the component identifier of any component in the low-pressure metering equipment and the anomaly summary generated during the acceptance process of the low-pressure metering equipment; to obtain the push strategy for the acceptance result of the low-pressure metering equipment in real time, and to send the component identifier, the anomaly summary, and the acceptance result of the low-pressure metering equipment to the user terminal based on the push strategy.

[0111] In some embodiments, the automated acceptance device 400 for low-voltage metering equipment is further configured to acquire the operating status of any reusable acceptance component in real time; wherein the operating status includes non-operating status, operating status, completed operation status, and abnormal operation status; acquire the total number of all reusable acceptance components and the number of reusable acceptance components whose operating status is the completed operation status, and acquire the ratio between the number of components and the total number; based on the ratio, acquire a push strategy for the acceptance results of the low-voltage metering equipment.

[0112] Each module in the automated acceptance device for the aforementioned low-voltage metering equipment can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of the computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0113] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 5 As shown, the computer device includes a processor, memory, input / output interfaces, a communication interface, a display unit, and an input device. The processor, memory, and input / output interfaces are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The input / output interfaces are used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When the computer program is executed by the processor, it implements an automated acceptance method for low-voltage metering equipment.

[0114] Those skilled in the art will understand that Figure 5The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0115] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0116] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps in the above method embodiments.

[0117] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0118] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0119] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0120] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0121] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. An automated acceptance method for low-pressure metering equipment, characterized in that, The method includes: Based on the preset running order of the process canvas, any reusable acceptance component is scheduled and run sequentially; for the currently running reusable acceptance component, the current data to be inspected required by the current reusable acceptance component is obtained from the full life cycle data of the low-voltage metering equipment. The current data to be inspected is input into the corresponding acceptance processing function of the current reusable acceptance component, and the current inspection result data of the current reusable acceptance component is output. Based on the running order, determine the first reusable acceptance component to be scheduled after the current reusable acceptance component has finished running; based on the current inspection result data, determine the second reusable acceptance component that has a data dependency relationship. By invoking preset multi-dimensional acceptance rules, the running results of the first reusable acceptance component and the second reusable acceptance component are compared to obtain the completeness index of the acceptance process.

2. The method according to claim 1, characterized in that, The second reusable acceptance component, which is determined to have a data dependency relationship based on the current inspection result data, includes: Identify at least one third reusable acceptance component that has a data dependency relationship with the current reusable acceptance component, and a preset data range corresponding to any third reusable acceptance component; For any third reusable acceptance component, if the current inspection result data is within the corresponding preset data range of the third reusable acceptance component, the third reusable acceptance component is determined as the second reusable acceptance component.

3. The method according to claim 1, characterized in that, The process involves invoking preset multi-dimensional acceptance rules to compare the execution results of the first reusable acceptance component and the second reusable acceptance component, thereby obtaining a completeness index for the acceptance process, including: Determine at least one reusable acceptance component corresponding to any given multidimensional acceptance rule; For any given multidimensional acceptance rule, obtain the inspection result data of all reusable acceptance components corresponding to the multidimensional acceptance rule; If the test results of all the reusable acceptance components meet the multi-dimensional acceptance rules, the low-pressure metering equipment is determined to meet the multi-dimensional acceptance rules. If the low-pressure metering equipment meets all the aforementioned multi-dimensional acceptance rules, the low-pressure metering equipment is determined to have passed acceptance.

4. The method according to claim 1, characterized in that, The process involves invoking preset multi-dimensional acceptance rules to compare the execution results of the first reusable acceptance component and the second reusable acceptance component, thereby obtaining a completeness index for the acceptance process, including: If the first reusable acceptance component and the second reusable acceptance component are inconsistent, the second reusable acceptance component shall be run after the current reusable acceptance component has finished running.

5. The method according to claim 1, characterized in that, The method further includes: Obtain the component identifier of any component in the low-pressure metering equipment, as well as the anomaly summary generated during the acceptance process of the low-pressure metering equipment; A push strategy for obtaining the acceptance results of the low-pressure metering equipment in real time is implemented, and based on the push strategy, the component identifier, the anomaly summary, and the acceptance results of the low-pressure metering equipment are sent to the user terminal.

6. The method according to claim 5, characterized in that, The real-time push strategy for obtaining the acceptance results of the low-pressure metering equipment includes: The running status of any reusable acceptance component can be obtained in real time; wherein, the running status includes non-running status, running status, running completed status, and running abnormal status. Obtain the total number of all reusable acceptance components and the number of reusable acceptance components whose running status is the completed state, and obtain the ratio between the number of components and the total number. Based on the ratio, a push strategy is obtained for the acceptance results of the low-pressure metering equipment.

7. An automated acceptance device for low-voltage metering equipment, characterized in that, The device includes: The running module is used to schedule and run any reusable acceptance component in sequence based on the preset running order of the process canvas; for the currently running reusable acceptance component, it obtains the current data to be inspected required by the current reusable acceptance component from the full life cycle data of the low-voltage metering equipment. The input module is used to input the current data to be inspected into the corresponding acceptance processing function of the current reusable acceptance component, and output the current inspection result data of the current reusable acceptance component. The determination module is used to determine, based on the running order, the first reusable acceptance component to be scheduled after the current reusable acceptance component has finished running; and to match and determine the second reusable acceptance component with a data dependency relationship based on the current inspection result data. The calling module is used to invoke preset multi-dimensional acceptance rules, compare the running results of the first reusable acceptance component and the second reusable acceptance component, and obtain the completeness index of the acceptance process.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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