Electric energy metering experiment scheduling management device and method

Abstract

The invention relates to an electric energy metering experiment scheduling management device and method, and the device and method achieve the integrated experiment and test management of each electric energy metering device through a unified scheduling management platform, break through a bridge between the existing systems, eliminate the islands between the systems, and achieve the integration, automation and intelligentization of the production and test of the electric energy metering devices. Through centralized management of verification, operation and maintenance experiment scheduling, monitoring and operation of the electric energy metering equipment, hardware cost is saved, a management system is perfected, the utilization rate of the electric energy metering equipment is improved, and relative inventory overstock and fund waste are avoided.

Description

Technical Field

[0001] The present disclosure relates to the technical field of electric energy metering management, and in particular to an electric energy metering experiment scheduling management device, an electric energy metering experiment scheduling management method and an electronic device. Background Art

[0002] Electric energy metering experiment scheduling management is the scheduling management of various electric energy metering equipment such as single-phase electric energy meter, three-phase electric energy meter, metering verification experiment terminal, etc., which mainly relies on the verification assembly line and vertical warehouse system to conduct experiments and tests on the electric energy metering equipment to determine the production quality of the electric energy metering equipment.

[0003] The current status of electric energy metering experiment scheduling management is as follows:

[0004] Because power companies at all levels implement hierarchical management, power supply units operate relatively closed, and there are different production management systems and operating mechanisms for rural power grids and infrastructure, it is impossible to form an asset life cycle management model with standard specifications, flexible allocation, unified procurement, centralized calibration, and unified distribution. As a result, the effective utilization rate of electricity metering equipment is low, technical functions are not unified, and the level of intelligent application is uneven.

[0005] It is mainly reflected in three aspects: First, the funding sources of electric energy metering equipment are diverse, the procurement methods are different, and the management models are different, which makes it impossible to standardize and unify the inventory asset management. To a certain extent, there is a low utilization rate of electric energy metering equipment, a relative backlog of inventory, and a waste of funds; Second, under the decentralized and multi-system management model, the technical standards of electric energy metering equipment are different and the management models are different, resulting in the imperfect application of electric energy metering equipment in many functions such as customer data collection, metering fee control, and line loss management in the marketing intelligent system. Summary of the invention

[0006] In order to solve the above problems, the present application proposes an electric energy metering experiment scheduling management device, an electric energy metering experiment scheduling management method and an electronic device.

[0007] On the one hand, the present invention provides an electric energy metering experiment scheduling management device, comprising:

[0008] Six-line one-database industrial control terminal, used to report online detection data of various electric energy metering equipment;

[0009] A dispatching management server is used to access the online detection data and perform dispatching and monitoring of various electric energy metering devices on the six-line and one-storage unit;

[0010] The six-line-one-depot industrial control terminal is communicatively connected to the scheduling management server.

[0011] As an optional implementation scheme of the present application, optionally, the six-wire one-bank industrial control terminal includes:

[0012] Single-phase electric energy meter calibration line operation and maintenance and control terminal, used for the operation and maintenance and control of the single-phase electric energy meter calibration line;

[0013] Intelligent vertical warehouse operation and control terminal, used for operation and control of intelligent vertical warehouse;

[0014] Communication unit verification line operation and control terminal, used for the operation and control of the communication unit verification line;

[0015] Three-phase electric energy meter calibration line operation and maintenance and control terminal, used for the operation and maintenance and control of the three-phase electric energy meter calibration line;

[0016] Terminal detection pipeline operation and maintenance and control terminal, used for the operation and maintenance and control of terminal detection pipeline;

[0017] Low-voltage current transformer calibration line operation and maintenance and control terminal, used for the operation and maintenance and control of low-voltage current transformer calibration line;

[0018] High-voltage transformer calibration line operation and maintenance and control terminal, used for the operation and maintenance and control of high-voltage transformer calibration line;

[0019] The single-phase electric energy meter calibration assembly line operation and maintenance and control terminal, the intelligent vertical warehouse operation and maintenance and control terminal, the communication unit calibration assembly line operation and maintenance and control terminal, the three-phase electric energy meter calibration assembly line operation and maintenance and control terminal, the terminal detection assembly line operation and maintenance and control terminal, the low-voltage current transformer calibration assembly line operation and maintenance and control terminal and the high-voltage transformer calibration assembly line operation and maintenance and control terminal are respectively communicated with the dispatching management server.

[0020] As an optional implementation scheme of the present application, optionally, the scheduling management server includes:

[0021] The main network is used to provide data transmission capabilities;

[0022] The six-line-one-database server is used to manage the online detection data reported by each of the six-line-one-database industrial control terminals, and interact with the application server to realize the scheduling and monitoring of the corresponding six-line-one-database industrial control terminals;

[0023] A large-screen display system server is used to display the operation and maintenance status of each of the six-line and one-warehouse industrial control terminals;

[0024] An anti-virus gateway, used for data transmission and sharing of the online detection data reported by each of the six-line and one-database industrial control terminals;

[0025] A vulnerability scanning device, used for performing vulnerability scanning on the online detection data reported by each of the six-line and one-depot industrial control terminals;

[0026] The application server is used to retrieve the online detection data reported by each of the six-line one-bank industrial control terminals from the six-line one-bank server, and perform scheduling and monitoring management on each of the six-line one-bank industrial control terminals;

[0027] The six-line one-library server, large-screen display system server, anti-virus gateway, vulnerability scanning device and application server are respectively connected to the main network of the scheduling management server.

[0028] As an optional implementation scheme of the present application, optionally, the scheduling management server further includes:

[0029] A boundary firewall is used to safely isolate the scheduling management server from the six-line one-database industrial control terminal and provide data security communication;

[0030] The border firewall is arranged on the main network between the scheduling management server and the six-line one-warehouse industrial control terminal.

[0031] As an optional implementation scheme of the present application, optionally, the scheduling management server further includes:

[0032] A backup server, on which a backup storage array is provided for data backup;

[0033] The backup server is connected to the main network of the scheduling management server.

[0034] As an optional implementation scheme of the present application, optionally, the scheduling management server further includes:

[0035] A test production database server, used to store operation and maintenance test data corresponding to the test environment where the six-line one-database industrial control terminal is located;

[0036] The application server and the test production database server are respectively connected to the border firewall.

[0037] On the other hand, a method for scheduling and managing an electric energy metering experiment is proposed, which is implemented based on the above-mentioned electric energy metering experiment scheduling and management device, and includes the following steps:

[0038] The scheduling management server reads the online detection completion notifications of this batch sent by each six-line and one-database industrial control terminal from the message queue of the antivirus gateway in sequence;

[0039] According to the address in the online detection notification, a request to report its online detection data is sent to the six-line one-database industrial control terminal A at the corresponding address through the main network;

[0040] The six-line one-depot industrial control terminal A reports the online detection data of various electric energy metering devices detected in this batch to the dispatching management server;

[0041] The dispatch management server accesses the online detection data reported by the six-line one-storage industrial control terminal A to determine whether the online detection data of various electric energy metering devices detected by the six-line one-storage industrial control terminal A in this batch are qualified:

[0042] If qualified, the dispatching and monitoring instructions for the next batch are issued to the six-line one-depot industrial control terminal A, and the six-line one-depot industrial control terminal A responds to execute the dispatching and monitoring instructions for the next batch, and performs online detection on various electric energy metering devices of the next batch;

[0043] If it is unqualified, the unqualified test result will be sent to the six-line one-database industrial control terminal A, and a monitoring alarm will be issued to the six-line one-database industrial control terminal A simultaneously. The six-line one-database industrial control terminal A will detect and analyze the unqualified electric energy metering equipment and upload the analysis results to the scheduling management server. The scheduling management server will store the unqualified test result and the analysis results of the corresponding unqualified electric energy metering equipment in the corresponding six-line one-database server.

[0044] On the other hand, an electronic device is also proposed, characterized in that it includes:

[0045] processor;

[0046] a memory for storing processor-executable instructions;

[0047] Wherein, the processor is configured to implement the electric energy metering experiment scheduling management method when executing the executable instructions.

[0048] Technical effects of the present invention:

[0049] This application realizes the integrated experiment and test management of each electric energy metering equipment through a unified dispatching management platform, builds a bridge between existing systems, eliminates islands between systems, and thus realizes the integration, automation and intelligence of production and testing electric energy metering equipment. Through the centralized management of the calibration and operation and maintenance experiment dispatching, monitoring and operation of electric energy metering equipment, hardware costs can be saved, management systems can be improved, the utilization rate of electric energy metering equipment can be increased, and relative inventory backlogs and capital waste can be avoided.

[0050] Further features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.

[0052] Figure 1The figure shows a schematic diagram of the structure of the electric energy metering experiment scheduling management device of the present invention;

[0053] Figure 2 It is a schematic diagram of the application system of the six-line one-database industrial control terminal of the present invention;

[0054] Figure 3 Shown is a schematic diagram of an application system of a scheduling management server of the present invention;

[0055] Figure 4 Shown is a schematic diagram of an application system of the electronic device of the present invention. DETAILED DESCRIPTION

[0056] Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numerals in the accompanying drawings represent elements with the same or similar functions. Although various aspects of the embodiments are shown in the accompanying drawings, the drawings are not necessarily drawn to scale unless otherwise specified.

[0057] The word “exemplary” is used exclusively herein to mean “serving as an example, example, or illustration.” Any embodiment described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments.

[0058] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific embodiments. It should be understood by those skilled in the art that the present disclosure can also be implemented without certain specific details. In some examples, means, components and circuits well known to those skilled in the art are not described in detail in order to highlight the main purpose of the present disclosure.

[0059] Example 1

[0060] like Figure 1 As shown, an electric energy metering experiment scheduling management device comprises:

[0061] Six-line one-database industrial control terminal, used to report online detection data of various electric energy metering equipment;

[0062] A dispatching management server is used to access the online detection data and perform dispatching and monitoring of various electric energy metering devices on the six-line and one-storage unit;

[0063] The six-line-one-depot industrial control terminal is communicatively connected to the scheduling management server.

[0064] In this embodiment:

[0065] Six lines and one warehouse refers to the calibration line and intelligent vertical warehouse for online calibration of electric energy metering equipment. The calibration line mainly performs online calibration on the produced electric energy metering equipment, and the intelligent vertical warehouse mainly performs intelligent storage of the calibrated electric energy metering equipment (intelligent warehouse, a facility that can use the Internet of Things terminal to manage inbound and outbound storage).

[0066] Each calibration line and intelligent vertical warehouse can communicate with the host server through their respective terminals (that is, their respective operation and maintenance and control terminals).

[0067] The six-line and one-warehouse industrial control terminal includes the operation and maintenance and control terminals of the calibration line and the intelligent vertical warehouse. It can exchange data with the industrial control host (dispatching management server) through the intranet main network. The dispatching management server realizes operation and maintenance and monitoring based on the online detection data reported by each operation and maintenance and control terminal.

[0068] The dispatch management server can obtain the working conditions of each "operation and maintenance and control terminal" through the online detection data, access the "six lines and one warehouse" production data through the electric energy metering experiment dispatch management platform (dispatching management server), and dispatch and monitor the production of "six lines and one warehouse", so as to realize the integrated integration, automation and intelligence of production and testing electric energy metering equipment. Through the centralized management of the dispatch, monitoring and operation of the verification and operation and maintenance experiments of electric energy metering equipment, hardware costs can be saved.

[0069] Combined with Figure 2-3 As shown in the figure, the physical structure of the electric energy metering experiment scheduling management device consists of a production database server, an application server, an interface server (anti-virus gateway), a monitoring server, a disaster recovery server, a storage array device, a switch device, and related network devices. The electric energy metering experiment scheduling management platform accesses the production data of the "six lines and one warehouse" to schedule and monitor the production situation of the "six lines and one warehouse".

[0070] The electric energy metering experiment dispatching management device, six automated calibration systems, intelligent warehousing system, and visual large-screen display system must be networked separately and securely isolated from other application systems and public network channels using firewalls to ensure the information security of the system.

[0071] By deploying multiple application servers, unified metering management application services are provided.

[0072] The application server distributes WEB requests through the load balancer. All client business requests are dynamically distributed through the load balancer and evenly distributed to each application server to ensure the reliability and availability of the application.

[0073] The network composition of the six-line one-depot industrial control terminal and the scheduling management server will be described in detail below.

[0074] like Figure 2 The figure shows the application composition diagram of the six-wire and one-database industrial control terminal.

[0075] As an optional implementation scheme of the present application, optionally, the six-wire one-bank industrial control terminal includes:

[0076] Single-phase electric energy meter calibration line operation and maintenance and control terminal, used for the operation and maintenance and control of the single-phase electric energy meter calibration line;

[0077] Intelligent vertical warehouse operation and control terminal, used for operation and control of intelligent vertical warehouse;

[0078] Communication unit verification line operation and control terminal, used for the operation and control of the communication unit verification line;

[0079] Three-phase electric energy meter calibration line operation and maintenance and control terminal, used for the operation and maintenance and control of the three-phase electric energy meter calibration line;

[0080] Terminal detection pipeline operation and maintenance and control terminal, used for the operation and maintenance and control of terminal detection pipeline;

[0081] Low-voltage current transformer calibration line operation and maintenance and control terminal, used for the operation and maintenance and control of low-voltage current transformer calibration line;

[0082] High-voltage transformer calibration line operation and maintenance and control terminal, used for the operation and maintenance and control of high-voltage transformer calibration line;

[0083] The single-phase electric energy meter calibration assembly line operation and maintenance and control terminal, the intelligent vertical warehouse operation and maintenance and control terminal, the communication unit calibration assembly line operation and maintenance and control terminal, the three-phase electric energy meter calibration assembly line operation and maintenance and control terminal, the terminal detection assembly line operation and maintenance and control terminal, the low-voltage current transformer calibration assembly line operation and maintenance and control terminal and the high-voltage transformer calibration assembly line operation and maintenance and control terminal are respectively communicated with the dispatching management server.

[0084] The six-line and one-warehouse industrial control terminal includes the operation and maintenance and control terminals of various electric energy metering equipment (single-phase electric energy meter, three-phase electric energy meter, low-voltage current transformer and other calibration lines, as well as intelligent vertical warehouses).

[0085] The specific structures and functions of each calibration line and intelligent vertical warehouse are not limited in this embodiment. This application is only for the calibration of electric energy metering equipment and the operation and maintenance management of vertical warehouse storage. The operation and maintenance and control terminals of each electric energy metering equipment report the working condition data to the dispatching management server, and the dispatching management server determines whether the operation and maintenance and control terminals of each electric energy metering equipment have abnormal operation based on the working condition data, and issues corresponding operation and maintenance dispatching instructions to the operation and maintenance and control terminals of various electric energy metering equipment on the six lines and one warehouse.

[0086] The scheduling management server takes the experimental scheduling platform as its core management, the measurement of full production data (operating conditions) analysis as its core production, and the full life cycle management as its main business function. The platform functional architecture design follows the design concept of "business-driven, application-oriented, inherited development, and continuous improvement", and forms a functional architecture for management business through a comprehensive review of business work and content such as planning, arrival, experiment, warehousing, verification, distribution, collection, and dismantling and recycling.

[0087] The functional business of this project is based on a data platform with functions such as metering data collection, data integration, data cleaning, and data quality. It takes experimental scheduling, logistics distribution, asset management, and cost management as the core, and planning, arrival, experiment, warehousing, calibration, distribution, issuance, and dismantling and disposal as the main business applications. The integrated warehousing of N-level warehouses is the extended management and control of metering assets, and the comprehensive statistics, summary and analysis of data to assist decision-making, as well as visual display boards, form a professional metering management system with power grid characteristics and covering all metering businesses.

[0088] like Figure 3 The figure shows a schematic diagram of the application composition of the scheduling management server.

[0089] As an optional implementation scheme of the present application, optionally, the scheduling management server includes:

[0090] The main network is used to provide data transmission capabilities;

[0091] The six-line-one-bank server is used to manage the online detection data reported by each of the six-line-one-bank industrial control terminals, and interact with the application server 13 to realize the scheduling and monitoring of the corresponding six-line-one-bank industrial control terminals;

[0092] A large-screen display system server is used to display the operation and maintenance status of each of the six-line and one-warehouse industrial control terminals;

[0093] An anti-virus gateway, used for data transmission and sharing of the online detection data reported by each of the six-line and one-database industrial control terminals;

[0094] A vulnerability scanning device, used for performing vulnerability scanning on the online detection data reported by each of the six-line and one-depot industrial control terminals;

[0095] The application server 13 is used to retrieve the online detection data reported by each of the six-line-one-bank industrial control terminals from the six-line-one-bank server, and perform scheduling and monitoring management on each of the six-line-one-bank industrial control terminals;

[0096] The six-line one-library server, large-screen display system server, anti-virus gateway, vulnerability scanning device and application server 13 are respectively connected to the main network of the scheduling management server.

[0097] As an optional implementation scheme of the present application, optionally, the scheduling management server further includes:

[0098] A boundary firewall is used to safely isolate the scheduling management server from the six-line one-database industrial control terminal and provide data security communication;

[0099] The border firewall is arranged on the main network between the scheduling management server and the six-line one-warehouse industrial control terminal.

[0100] The data reported by the six-line and one-database industrial control terminals first enter the boundary firewall for data security measures. The specific data disinfection, cleaning and other processing rules in the six-boundary firewall are configured by the administrator.

[0101] After the safety check, the working condition data first enters the six-line one-database server. As the background server of each downstream six-line one-database industrial control terminal, the six-line one-database server can manage the working condition data reported by each six-line one-database industrial control terminal at the front end, realize classified, orderly management and storage, and facilitate the background application server 13 to dispatch the corresponding terminal data from the six-line one-database server to realize internal independent dispatch management, so that the application server 13 can issue corresponding operation and maintenance management instructions to the operation and maintenance and control terminals of each electric energy metering equipment (single-phase electric energy meter, three-phase electric energy meter low-voltage current transformer and other calibration lines and intelligent vertical warehouses) to realize orderly management.

[0102] Other components such as vulnerability scanning, antivirus gateway and large screen display can be selected in combination with corresponding APP or components to achieve corresponding functions. The vulnerability scanning device can scan the working condition data dispatched by the application server 13, determine whether the data is complete, and then share it with the corresponding application server 13 through the antivirus gateway.

[0103] Here, the application server 13 is a cluster server, which can be operated by the corresponding departments to monitor and dispatch the terminals they are responsible for. The communication IP of each department can be used between each terminal and the application server.

[0104] As an optional implementation scheme of the present application, optionally, the scheduling management server further includes:

[0105] A backup server, on which a backup storage array is provided for data backup;

[0106] The backup server is connected to the main network of the scheduling management server.

[0107] The backup server can use the array's storage to perform data backup and storage, with general storage and general backup being the priority.

[0108] As an optional implementation scheme of the present application, optionally, the scheduling management server further includes:

[0109] A test production database server, used to store operation and maintenance test data corresponding to the test environment where the six-line one-database industrial control terminal is located;

[0110] The application server 13 and the test production database server are respectively connected to the border firewall.

[0111] This solution also provides corresponding operation and maintenance test data for different working conditions. The application server 13 can perform online testing on the online detection data reported by each of the six-line and one-database industrial control terminals. Specifically, the operation and maintenance test data with the same attributes (such as single-phase electricity meters) are retrieved from the test production database server, and the data reported by the corresponding operation and maintenance and control terminals are tested and verified to determine whether the calibration data of the single-phase electricity meters reported by each operation and maintenance and control terminal 9, such as the single-phase electricity meter calibration line operation and maintenance and control terminal, meets the working condition standards.

[0112] All verification results can be displayed on the big screen.

[0113] Example 2

[0114] Based on the implementation principle of Example 1, on the other hand, a method for scheduling and managing an electric energy metering experiment is proposed, which is implemented based on the above-mentioned electric energy metering experiment scheduling and management device, and includes the following steps:

[0115] The scheduling management server reads the online detection completion notifications of this batch sent by each six-line and one-database industrial control terminal from the message queue of the antivirus gateway in sequence;

[0116] According to the address in the online detection notification, a request to report its online detection data is sent to the six-line one-database industrial control terminal A at the corresponding address through the main network;

[0117] The six-line one-depot industrial control terminal A reports the online detection data of various electric energy metering devices detected in this batch to the dispatching management server;

[0118] The dispatch management server accesses the online detection data reported by the six-line one-storage industrial control terminal A to determine whether the online detection data of various electric energy metering devices detected by the six-line one-storage industrial control terminal A in this batch are qualified:

[0119] If qualified, the dispatching and monitoring instructions for the next batch are issued to the six-line one-depot industrial control terminal A, and the six-line one-depot industrial control terminal A responds to execute the dispatching and monitoring instructions for the next batch, and performs online detection on various electric energy metering devices of the next batch;

[0120] If it is unqualified, the unqualified test result will be sent to the six-line one-database industrial control terminal A, and a monitoring alarm will be issued to the six-line one-database industrial control terminal A simultaneously. The six-line one-database industrial control terminal A will detect and analyze the unqualified electric energy metering equipment and upload the analysis results to the scheduling management server. The scheduling management server will store the unqualified test result and the analysis results of the corresponding unqualified electric energy metering equipment in the corresponding six-line one-database server.

[0121] In some implementations of this embodiment, the scheduling management server is responsible for reading messages from the six-line one-database industrial control terminal, issuing requests, receiving data and judging eligibility, and issuing scheduling instructions. Specifically, it can be built using languages ​​such as Java and Python, combined with a database (such as MySQL, MongoDB) to store test results and analyze data. As a security mechanism, the antivirus gateway ensures the security of data transmission, prevents malicious attacks, and uses firewalls, intrusion detection systems (IDS) and other measures to ensure the safe transmission of data. The six-line one-database industrial control terminal A is responsible for detecting the online data of the electric energy metering equipment, processing scheduling instructions, and sending test results.

[0122] Furthermore, in some implementations of this embodiment, the scheduling management method further includes the following steps:

[0123] 1) Message reading:

[0124] When the scheduling management server starts, it connects to the message queue of the antivirus gateway.

[0125] Check the message queue regularly, read the notifications of online detection completion in sequence, and record the timestamp and source of each notification.

[0126] During the specific execution, you can use a polling mechanism or event-driven message queue (such as Kafka, RabbitMQ) to improve efficiency and reduce latency.

[0127] 2) Data Request:

[0128] According to the address information read in step 1), the scheduling management server sends a request instruction to the corresponding six-line one-library industrial control terminal A through the main network, requesting to upload the online detection data. In the specific execution, the RESTful API can be used to implement the data request. The request can include timestamp and batch information so that the industrial control terminal A can perform corresponding data processing.

[0129] 3) Data reporting:

[0130] After receiving the request in step 2), the six-line one-database industrial control terminal A organizes the online detection data according to the request format. After the data is organized, the industrial control terminal A reports the data to the scheduling management server through a secure channel (such as SSL encryption). When reporting data, the integrity of the data is ensured based on mechanisms such as checksums. The data packet structure needs to be clearly defined, including: device ID, detection time, various parameter values, etc.

[0131] 4) Data judgment and response:

[0132] The scheduling management server receives and parses the reported detection data.

[0133] Judge the eligibility of the data and determine whether it meets the preset standards (such as equipment performance indicators).

[0134] During the specific implementation, machine learning models or rule engines are used to make eligibility judgments to improve the accuracy of the judgments.

[0135] Record qualified and unqualified equipment information and generate corresponding logs.

[0136] 5) Scheduling instructions are issued:

[0137] If the test result is qualified, the server sends the next batch of scheduling and monitoring instructions to industrial control terminal A;

[0138] After receiving the instruction, industrial control terminal A starts online testing of the next batch of equipment.

[0139] If the test result is unqualified, the dispatch server will send the unqualified result back to the industrial control terminal A and issue a monitoring alarm.

[0140] Industrial control terminal A performs fault analysis, records fault data, and uploads analysis results.

[0141] During the specific execution, a long polling mechanism or WebSocket is used to send instructions to achieve real-time performance.

[0142] Monitoring alarms can be notified to relevant personnel via SMS, email, or app push.

[0143] Furthermore, all online test data, test results and analysis results are stored in the corresponding six-line one-database server, and timestamp, equipment ID, test batch number and other information are added to each record to facilitate subsequent search and analysis.

[0144] Furthermore, the detection data can be analyzed regularly to generate performance reports and fault analysis reports for reference in management decision-making. Data visualization tools (such as Tableau and Power BI) can be used to generate intuitive charts to improve analysis efficiency.

[0145] Furthermore, system monitoring tools (such as Prometheus and Grafana) are introduced to monitor server performance, network traffic, and data processing status in real time to facilitate timely discovery and resolution of problems.

[0146] Furthermore, by collecting user feedback and system logs, we regularly optimize functions and performance. We combine new technologies (such as edge computing) to gradually improve detection efficiency and data processing capabilities to meet possible expansion needs in the future.

[0147] Through the above steps, the electric energy metering experiment scheduling management method can be implemented more effectively to ensure the safety, reliability and real-time performance of the system, and provide strong support for the accuracy of electric energy metering and the effectiveness of equipment management.

[0148] In some other implementations of this embodiment, the scheduling management server includes: a six-line and one-library server, a large-screen display system server, an anti-virus gateway, a vulnerability scanning device and an application server 13.

[0149] The above-mentioned dispatching management server accesses the online detection data reported by the six-line one-depot industrial control terminal A, and determines whether the online detection data of various electric energy metering devices detected by the six-line one-depot industrial control terminal A in this batch are qualified, which is mainly completed by the application server 13 in the dispatching management server:

[0150] That is, the application server 13 retrieves the online detection data reported by each of the six-line-one-bank industrial control terminals from the six-line-one-bank server, and performs scheduling and monitoring management on each of the six-line-one-bank industrial control terminals.

[0151] In the specific implementation, this embodiment deploys an intelligent scheduling model on the application server 13 to realize AI scheduling management of each of the six-line and one-depot industrial control terminals.

[0152] The method for generating the intelligent scheduling model may adopt the following steps:

[0153] Collect the online detection logs of various electric energy metering devices from the six-line one-warehouse industrial control terminal A (the six detection lines are respectively responsible for data collection and reporting by their respective detection terminals; the smart warehouse is responsible for data collection and reporting by the warehouse management terminal). The online detection logs contain the online detection data of the corresponding electric energy metering devices and their qualified or unqualified detection results, as well as the dispatching and monitoring instructions containing the corresponding qualified or unqualified detection results;

[0154] Divide the logs into qualified and unqualified data sets or unqualified data sets (including corresponding log data respectively) according to whether they are qualified or unqualified.

[0155] Using big data technology, we can find the relationship characteristics between the qualified or unqualified test results and the corresponding scheduling and monitoring instructions from the data set. Specifically, we can take the following measures:

[0156] In order to extract the relationship features between qualified test data or unqualified test data and the corresponding task scheduling instructions, and build an AI model capable of identifying the relationship features based on the deep learning model, the following steps can be followed:

[0157] 1. Data preparation

[0158] Data Collection:

[0159] Collect a data set containing qualified and unqualified inspection data and their corresponding task scheduling instructions (refer to the description of the above six lines and one library for details). Ensure that the data set is representative and covers all possible situations and boundary conditions.

[0160] Data preprocessing:

[0161] Clean the data to remove missing values, outliers, etc.

[0162] Convert data into a format suitable for model input, such as numeric, standardized, or normalized.

[0163] If the data is in text form, natural language processing (NLP) may be required to extract features.

[0164] 2. Feature extraction

[0165] Feature definition:

[0166] Clearly identify the relationship features to be extracted, such as the correlation, time sequence, causal relationship, etc. between the test data and the task scheduling instructions. This section mainly proposes the relationship features between qualified or unqualified test results and the corresponding scheduling and monitoring instructions.

[0167] Feature Engineering:

[0168] Use statistical methods, machine learning algorithms, or deep learning models to extract features.

[0169] You can consider using a convolutional neural network (CNN) to extract local features, or a recurrent neural network (RNN) to capture sequence information.

[0170] For text data, word embedding (such as Word2Vec) and text representation techniques (such as BERT) can be used to extract semantic features.

[0171] 3. Model Construction

[0172] Select a deep learning model:

[0173] Choose an appropriate deep learning model based on the type of features and the complexity of the task.

[0174] For relationship extraction tasks, one can consider using graph neural networks (GNNs) to capture the relationships between nodes (detection data and task scheduling instructions).

[0175] You can also try using the Attention Mechanism to enhance the model's attention to key information.

[0176] Model design:

[0177] Design the model architecture, including input layers, hidden layers, and output layers.

[0178] Determine the model's hyperparameters, such as learning rate, batch size, number of training epochs, etc.

[0179] Model training:

[0180] Use the prepared dataset to train the model.

[0181] Monitor loss and accuracy during training and adjust model parameters to optimize performance.

[0182] 4. Model Evaluation

[0183] Validation set evaluation:

[0184] An independent validation set was used to evaluate the performance of the model.

[0185] Calculate the model's accuracy, recall, F1 score and other metrics to measure its ability to identify relational features.

[0186] Cross Validation:

[0187] Cross-validation was performed to further verify the stability and generalization ability of the model.

[0188] You can use methods such as K-fold cross validation or leave-one-out cross validation.

[0189] 5. Model Optimization

[0190] Parameter optimization:

[0191] Adjust the model's hyperparameters based on the evaluation results, such as increasing the number of hidden layers, changing the activation function, etc.

[0192] Use methods such as grid search or random search to find the best parameter combination.

[0193] Feature Selection:

[0194] Review the feature extraction step and try adding or removing certain features to improve model performance.

[0195] Use feature importance analysis to identify the features that contribute most to the model.

[0196] Through the above steps, a deep learning model can be constructed that can identify the relationship features between qualified inspection data or unqualified inspection data and corresponding task scheduling instructions, and applied to actual scenarios.

[0197] The deployment and application of the AI ​​model can be deployed on the application server 13. The application server 13 calls the intelligent scheduling model to identify each detection data uploaded by each of the six-line and one-library industrial control terminals, and matches and outputs the corresponding type of task scheduling instructions (scheduling and monitoring management instructions) to achieve intelligent automatic scheduling and improve the intelligent application of the system.

[0198] In the process of implementing the above intelligent scheduling model, data quality issues and improper feature selection problems may be encountered.

[0199] In order to solve the data quality problem, in some implementations of this embodiment, the following solutions are adopted:

[0200] In the data preprocessing stage, more stringent cleaning strategies are adopted, such as using interpolation, mean filling and other techniques to handle missing values, and using anomaly detection algorithms (such as isolation forest) to identify and handle outliers.

[0201] Augmenting the dataset by generating synthetic data ensures that the model can learn more comprehensive features.

[0202] To address the problem of improper feature selection, in some implementations of this embodiment, the following solutions are adopted:

[0203] Feature Importance Analysis: Use a model (such as random forest) to evaluate the importance of features, retain the features that contribute most to the model, and remove redundant features.

[0204] Automatic feature selection: Apply methods such as L1 regularization and recursive feature elimination (RFE) to automatically select the best feature set.

[0205] The above steps can solve the defect that the extracted features may not effectively capture the relationship between the detection data and the scheduling instructions.

[0206] The anti-virus gateway mainly transmits and shares the online detection data reported by each of the six-line and one-database industrial control terminals.

[0207] In order to orderly transmit the online detection data reported by each six-line and one-depot industrial control terminal, a message queue method is adopted in the anti-virus gateway to orderly process the online detection data reported by each six-line and one-depot industrial control terminal.

[0208] Here, after the six-line and one-depot industrial control terminal completes the online detection of this batch, it can send a notification to the scheduling management server, and the antivirus gateway of the scheduling management server receives the notification and puts it in the message queue.

[0209] Each time a notification is made, it is necessary to record the detection type of the six-line one-database industrial control terminal that issued the notification (such as six-line one-database industrial control terminal A) and the address of the detection data in the database of the six-line one-database industrial control terminal, so that the scheduling management server can retrieve the corresponding online detection data of this batch from the six-line one-database industrial control terminal A through the main network according to the address in the online detection notification, execute the data scheduling program, improve the scheduling efficiency of the electric energy metering experiment, and avoid the occurrence of increased scheduling time due to back-and-forth interaction with the six-line one-database industrial control terminal.

[0210] Each data scheduling is executed in batches.

[0211] This batch of online inspection data includes the online inspection data of the six-line and one-warehouse industrial control terminals on the electric energy products they are responsible for, such as three-phase ammeters. The inspection is carried out in combination with the detection system and detection function of the six-line and one-warehouse industrial control terminals to realize the inspection and collect the corresponding online inspection data (including whether the quantity meets the standard, whether the proportion of qualified products reaches 95-99%, etc.).

[0212] On the scheduling management server, the administrator will configure the corresponding qualification judgment criteria for the online detection data for each type of six-line and one-warehouse industrial control terminal, which will be specifically set by the administrator in combination with the standardized data.

[0213] The scheduling management server performs qualified inspections on a batch basis. Only when the current batch is qualified will the inspection information of the next batch be verified and identified.

[0214] If it is unqualified, a monitoring alarm will be sent to the corresponding six-line one-warehouse industrial control terminal to notify it of the existence of unqualified test products. The scheduling management server will feedback the unqualified test results to the corresponding six-line one-warehouse industrial control terminal A, and store the test results of the batch in the six-line one-warehouse server corresponding to the six-line one-warehouse industrial control terminal A. This is convenient for the subsequent traversal to synchronize the online test information of the six-line one-warehouse industrial control terminal A again.

[0215] In order to save working hours, the six-line and one-warehouse industrial control terminal A will report the re-test data of the previous batch of unqualified inspection products together with the online inspection data of the current batch and issue an online inspection notification. The scheduling management server will perform double batch inspection on the re-test data of the previous batch of unqualified inspection products and the online inspection data of the current batch, so as to realize superimposed inspection and improve inspection efficiency.

[0216] Obviously, those skilled in the art should understand that the implementation of all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the above-mentioned embodiments. Those skilled in the art can understand that the implementation of all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the above-mentioned embodiments. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory (Flash Memory), a hard disk (Hard Disk Drive, abbreviated as: HDD) or a solid-state drive (SSD), etc.; the storage medium can also include a combination of the above-mentioned types of memory.

[0217] The modules or steps of the present invention described above can be implemented by a general-purpose computing system, they can be concentrated on a single computing system, or distributed on a network composed of multiple computing systems, and optionally, they can be implemented by a program code executable by a computing system, so that they can be stored in a storage system and executed by the computing system, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0218] Example 3

[0219] like Figure 4 As shown, further, in another aspect, the present application also proposes an electronic device, including:

[0220] processor;

[0221] a memory for storing processor-executable instructions;

[0222] Among them, the processor is configured to implement an electric energy metering experiment scheduling management method described in Example 2 when executing the executable instructions.

[0223] The electronic device of the embodiment of the present disclosure includes a processor and a memory for storing processor executable instructions. The processor is configured to implement the electric energy metering experiment scheduling management method described in the above embodiment 2 when executing the executable instructions.

[0224] Here, it should be noted that the number of processors can be one or more. At the same time, the electronic device of the embodiment of the present disclosure may also include an input system and an output system. Among them, the processor, memory, input system and output system may be connected through a bus or in other ways, which are not specifically limited here.

[0225] As a computer-readable storage medium, the memory can be used to store software programs, computer executable programs and various modules, such as the program or module corresponding to the method for scheduling and managing an electric energy metering experiment in the embodiment of the present disclosure. The processor executes various functional applications and data processing of the electronic device by running the software programs or modules stored in the memory.

[0226] The input system can be used to receive input numbers or signals. The signal can be a key signal related to user settings and function control of the device / terminal / server. The output system can include display devices such as display screens.

[0227] The embodiments of the present disclosure have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements to the technology in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. An electric energy metering experiment scheduling management device, characterized in that: include: Six-line one-database industrial control terminal, used to report online detection data of various electric energy metering equipment; A dispatching management server is used to access the online detection data and perform dispatching and monitoring of various electric energy metering devices on the six-line and one-storage unit; The six-line-one-depot industrial control terminal is communicatively connected with the scheduling management server; The six-wire one-database industrial control terminal includes: Single-phase electric energy meter calibration line operation and maintenance and control terminal, used for the operation and maintenance and control of the single-phase electric energy meter calibration line; Intelligent vertical warehouse operation and control terminal, used for operation and control of intelligent vertical warehouse; Communication unit verification line operation and control terminal, used for the operation and control of the communication unit verification line; Three-phase electric energy meter calibration line operation and maintenance and control terminal, used for the operation and maintenance and control of the three-phase electric energy meter calibration line; Terminal detection pipeline operation and maintenance and control terminal, used for the operation and maintenance and control of terminal detection pipeline; Low-voltage current transformer calibration line operation and maintenance and control terminal, used for the operation and maintenance and control of low-voltage current transformer calibration line; High-voltage transformer calibration line operation and maintenance and control terminal, used for the operation and maintenance and control of high-voltage transformer calibration line; The single-phase electric energy meter calibration assembly line operation and maintenance and control terminal, the intelligent vertical warehouse operation and maintenance and control terminal, the communication unit calibration assembly line operation and maintenance and control terminal, the three-phase electric energy meter calibration assembly line operation and maintenance and control terminal, the terminal detection assembly line operation and maintenance and control terminal, the low-voltage current transformer calibration assembly line operation and maintenance and control terminal and the high-voltage transformer calibration assembly line operation and maintenance and control terminal are respectively communicated with the dispatching management server.

2. The electric energy metering experiment scheduling management device according to claim 1 is characterized in that: The scheduling management server comprises: The main network is used to provide data transmission capabilities; A six-line one-database server is used to manage the online detection data reported by each of the six-line one-database industrial control terminals, and interact with the application server (13) to achieve scheduling and monitoring of the corresponding six-line one-database industrial control terminals; A large-screen display system server is used to display the operation and maintenance status of each of the six-line and one-warehouse industrial control terminals; An anti-virus gateway, used for data transmission and sharing of the online detection data reported by each of the six-line and one-database industrial control terminals; A vulnerability scanning device, used for performing vulnerability scanning on the online detection data reported by each of the six-line and one-depot industrial control terminals; An application server (13) is used to retrieve the online detection data reported by each of the six-line one-bank industrial control terminals from the six-line one-bank server, and to perform scheduling and monitoring management on each of the six-line one-bank industrial control terminals; The six-line one-database server, large-screen display system server, anti-virus gateway, vulnerability scanning device and application server (13) are respectively connected to the main network of the scheduling management server.

3. The electric energy metering experiment scheduling management device according to claim 2 is characterized in that: The scheduling management server also includes: A boundary firewall is used to safely isolate the scheduling management server from the six-line one-database industrial control terminal and provide data security communication; The border firewall is arranged on the main network between the scheduling management server and the six-line one-warehouse industrial control terminal.

4. The electric energy metering experiment scheduling management device according to claim 2 is characterized in that: The scheduling management server also includes: A backup server, on which a backup storage array is provided for data backup; The backup server is connected to the main network of the scheduling management server.

5. The electric energy metering experiment scheduling management device according to claim 2 is characterized in that: The scheduling management server also includes: A test production database server, used to store operation and maintenance test data corresponding to the test environment where the six-line one-database industrial control terminal is located; The application server (13) and the test production database server are respectively connected to the border firewall.

6. A method for scheduling and managing an electric energy metering experiment, implemented based on an electric energy metering experiment scheduling and management device according to any one of claims 1 to 5, characterized in that: The steps include: The scheduling management server reads the online detection completion notification of this batch sent by each six-line and one-database industrial control terminal A from the message queue of the antivirus gateway in sequence; According to the address in the online detection notification, a request to report its online detection data is sent to the six-line one-database industrial control terminal A at the corresponding address through the main network; The six-line one-depot industrial control terminal A reports the online detection data of various electric energy metering devices detected in this batch to the dispatching management server; The dispatch management server accesses the online detection data reported by the six-line one-storage industrial control terminal A to determine whether the online detection data of various electric energy metering devices detected by the six-line one-storage industrial control terminal A in this batch are qualified: If qualified, the dispatching and monitoring instructions for the next batch are issued to the six-line one-depot industrial control terminal A, and the six-line one-depot industrial control terminal A responds to execute the dispatching and monitoring instructions for the next batch, and performs online detection on various electric energy metering devices of the next batch; If it is unqualified, the unqualified test result will be sent to the six-line one-database industrial control terminal A, and a monitoring alarm will be issued to the six-line one-database industrial control terminal A simultaneously. The six-line one-database industrial control terminal A will detect and analyze the unqualified electric energy metering equipment and upload the analysis results to the scheduling management server. The scheduling management server will store the unqualified test result and the analysis results of the corresponding unqualified electric energy metering equipment in the corresponding six-line one-database server.

7. An electronic device, characterized in that: include: processor; a memory for storing processor-executable instructions; Wherein, the processor is configured to implement an electric energy metering experiment scheduling management method as described in claim 6 when executing the executable instructions.

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