Electric energy meter verification line remote monitoring method and system based on industrial network

Abstract

The invention relates to the technical field of industrial automation and electric power measurement, and discloses an electric energy meter verification line remote monitoring method and system based on an industrial network, and the method comprises the steps that a verification system receives electric energy meter verification task information from a measurement production scheduling platform; the mechanical devices in the verification line are scheduled to enter the corresponding verification units according to the task information; in the verification process, performance parameters of all the mechanical devices are monitored in real time, whether abnormity exists or not is judged, and actions of the verification units are coordinated; when an abnormity is found, an alarm is triggered immediately and verification is stopped automatically, and if no abnormity exists, verification is completed and a test result is generated; the verification result is inquired and statistically analyzed through the data management system, and the data is uploaded to an upper layer system, so that effective storage and sharing are realized. Through a comprehensive remote monitoring method, multiple pain points existing in the verification process of the electric energy meter are solved, the verification efficiency, safety and data management capability are remarkably improved, and powerful support and guarantee are provided for industry development.

Description

Technical Field

[0001] The invention relates to the technical field of industrial automation and electric power metering, and in particular to an industrial network-based remote monitoring method and system for an electric energy meter calibration line. Background Art

[0002] In modern industrial environments, the accuracy and sustainability of energy meter calibration are directly related to the safe operation and economic benefits of the power system. With the improvement of industrial automation, traditional energy meter calibration methods are difficult to adapt to the rapidly changing market demands and technological advances. The existing energy meter calibration lines based on manual records and management usually have shortcomings such as low efficiency and slow response, which to a certain extent affects the refinement and timeliness of power management. The proposal of a remote monitoring method for energy meter calibration lines based on industrial networks is intended to fill the market gap where traditional monitoring methods are insufficient, and to achieve real-time monitoring and management of the calibration process by utilizing advanced communication technologies.

[0003] However, although the existing remote monitoring system has achieved real-time transmission and processing of data, it is still insufficient in terms of the depth of monitoring and intelligent analysis. Many systems are unable to provide timely and accurate fault warnings when facing complex industrial environments, and lack sufficient intelligent analysis tools to help operators respond quickly. Compared with traditional calibration methods, our invention can establish a more efficient detection network by integrating data collection, analysis and feedback mechanisms, which not only improves the real-time nature of monitoring, but also greatly enhances the predictability of fault handling. In addition, the technology supports diversified data management and service capabilities, ensuring that the calibration of electricity meters in complex environments can remain efficient and stable, improving the safety and economic benefits of power production. Summary of the invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a remote monitoring method for an electric energy meter calibration line based on an industrial network, which can overcome the problem that on-site data monitoring and abnormal judgment in the traditional electric energy meter calibration process mostly rely on manual operation, provide a real-time feedback mechanism, and improve the calibration efficiency; realize the intelligent scheduling and control of mechanical devices in the calibration task, and shorten the calibration cycle.

[0006] To solve the above technical problems, the present invention provides the following technical solutions, a remote monitoring method for an electric energy meter calibration line based on an industrial network, comprising: a calibration system receives electric energy meter calibration task information from a metering production scheduling platform, and schedules the mechanical devices in the calibration line to enter the corresponding calibration unit according to the task information; during the calibration process, the performance parameters of each mechanical device are monitored in real time to determine whether there are any abnormalities, and the actions of the calibration units are coordinated; when an abnormality is found, an alarm is immediately triggered and the calibration is automatically stopped, and if there is no abnormality, the calibration is completed and the test results are generated; the calibration results are queried and statistically analyzed through the data management system, and the data are uploaded to the upper system to achieve effective storage and sharing.

[0007] As a preferred solution of the remote monitoring method of the electric energy meter calibration line based on industrial network described in the present invention, wherein: the calibration system includes functions for calibration task management, data processing and services during the calibration process, completing information interaction between the control software and the calibration software, coordinating the actions between the calibration conveying system and the calibration device, executing calibration detection, and realizing the requirements of each functional unit; completing information interaction between the single-phase line and the metering production scheduling platform, and actively uploading calibration data information to the metering production scheduling platform; and being able to cooperate with the intelligent three-dimensional warehouse, exchange logistics information, and complete the automated operation of the entire process.

[0008] As a preferred solution of the method for remote monitoring of electric energy meter calibration line based on industrial network described in the present invention, wherein: the received electric energy meter calibration task information includes task ID, electric energy meter information, calibration requirements, priority and transportation information;

[0009] Through the API data transmission protocol, the calibration system establishes a connection with the metrology production scheduling platform and receives task information in real time. The received information is processed by the parsing module to extract the calibration task information. At the same time, the receipt confirmation is fed back to the metrology production scheduling platform. Based on the task information, the time and place for the mechanical device in the calibration line to perform the task are determined, and a scheduling plan is generated.

[0010] As a preferred solution of the method for remote monitoring of electric energy meter verification line based on industrial network described in the present invention, wherein: the mechanical device in the dispatching verification line includes analyzing the received task information, combining the current state data of the verification line, and using the industrial network to update the information in real time to generate a dispatch plan;

[0011] The scheduling plan includes determining the order of use of mechanical devices and setting working parameters, calculating the expected use time of each device, and performing rationality analysis and optimization of scheduling;

[0012] After the scheduling plan is generated, the designated mechanical device is automatically directed to move to the corresponding calibration unit through the internal communication protocol and the industrial Internet. At the same time, the real-time monitoring system tracks the movement trajectory of the mechanical device, so that the device enters the predetermined position according to the scheduling plan. The sensor monitors the displacement and positioning error of the device and uploads the real-time data to the monitoring platform.

[0013] Once the mechanical device successfully enters the corresponding calibration unit, the calibration parameters are monitored in real time and automatically configured through remote monitoring, while historical data and machine learning algorithms are used to optimize the parameter configuration.

[0014] As a preferred solution of the remote monitoring method of the electric energy meter calibration line based on the industrial network described in the present invention, the determination of whether there is an abnormality includes collecting the performance parameters displacement X(t), vibration V(t), and current I(t) through sensors installed on each mechanical device, setting it as high-frequency data acquisition, collecting 10 times per second, and timely feeding back the state of the mechanical device, defining the comprehensive state function S(t):

[0015]

[0016] Among them, k1, k2, k3 are weight coefficients, satisfying k1+k2+k3=1; X max 、V max ,I max They are the maximum displacement value, the maximum vibration value, and the maximum current value. When S(t) exceeds the alarm threshold S threshold , triggering an alarm.

[0017] As a preferred solution of the method for remote monitoring of electric energy meter calibration line based on industrial network described in the present invention, wherein: the triggering of alarm and automatic stopping of calibration include, according to the comprehensive state S(t) at the current moment, if S(t)>S threshold =1.2, an exception is reported and an exception report is generated, showing the specific parameters and adjustment suggestions;

[0018] Define the action control model:

[0019]

[0020] Where A(t) is the output of the action control, f is the action control output calculated according to the input state S(t), A(t) = 1 triggers shutdown and alarm; A(t) = 0 continues the current operation;

[0021] If no abnormality is found during the entire calibration process, the calibration operation will continue. After the preset calibration time, the load test and performance evaluation of the electric energy meter will be completed. After the test, the calibration system will automatically generate calibration data.

[0022] As a preferred solution of the method for remote monitoring of an electric energy meter calibration line based on an industrial network described in the present invention, wherein: the query and statistical analysis of the calibration results include recording the performance parameters of each mechanical device during the calibration of the electric energy meter into a database, each performance parameter corresponds to a unique identifier in the database, and after the calibration is completed, the test results are summarized to generate a calibration report;

[0023] The user enters the query conditions in the interface, generates SQL statements to retrieve the corresponding data, and returns the results. The user chooses to view detailed information and clicks on the device ID to display the corresponding verification report;

[0024] Input the test data into the statistical model to calculate the average deviation and pass rate of each device:

[0025]

[0026] Among them, R avg is the pass rate, C total is the number of qualified tests, T total is the total number of inspections;

[0027] Each time a calibration result is generated, the uploaded information package is automatically prepared, the API interface is called, the data is packaged and sent to the upper system, and the data received by the upper system will be stored in the data warehouse to achieve effective storage and sharing.

[0028] As a preferred solution of the remote monitoring system for electric energy meter calibration line based on industrial network described in the present invention, it includes: task management module, scheduling and control module, detection and monitoring module, data management and statistics module, information uploading and sharing module;

[0029] The task management module is responsible for receiving the electric energy meter calibration task information from the metering production scheduling platform, establishing an API connection with the metering production scheduling platform, receiving tasks in real time, parsing the received task information, confirming task reception through a feedback mechanism, generating a scheduling plan, and determining the allocation and scheduling order of mechanical devices;

[0030] The scheduling and control module generates a scheduling plan for the mechanical device according to the task information and the current calibration line status, controls the movement of the mechanical device, uses the industrial Internet protocol, automatically directs the mechanical device to move to the designated calibration unit, monitors the displacement and positioning error of the mechanical device in real time, and uploads the data to the monitoring platform;

[0031] The detection and monitoring module collects performance parameters through sensors, performs high-frequency data acquisition, analyzes machine status, defines comprehensive status functions, monitors real-time data and triggers alarms, generates abnormality reports, provides specific parameters and suggestions, and controls the calibration process;

[0032] The data management and statistics module records the performance parameters of each verification process into the database, generates a unique identifier for each parameter, provides a user interface to allow the input of query conditions, automatically generates SQL statements, queries corresponding data, calculates the average deviation and qualified rate of the equipment, generates statistical reports, and supports data export;

[0033] The information uploading and sharing module automatically prepares the uploaded data packet, sends the data to the upper system using the API interface, ensures that the data format is correct, facilitates the upper system to parse, stores the data received by the upper system, and supports subsequent query and analysis functions.

[0034] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, steps of a remote monitoring method for an electric energy meter calibration line based on an industrial network are implemented.

[0035] A computer-readable storage medium stores a computer program, wherein the computer program, when executed by a processor, implements the steps of a remote monitoring method for an electric energy meter calibration line based on an industrial network.

[0036] The beneficial effects of the present invention are as follows: through task management and intelligent scheduling, mechanical devices are automatically allocated and managed, thereby improving the efficiency and accuracy of calibration operations. Real-time data collection and abnormality judgment can promptly detect abnormal equipment status, quickly trigger alarms and processing measures, and improve the security of the system. Effective recording and analysis of calibration data are achieved, ensuring the integrity and traceability of the data, making subsequent queries, statistics, and analysis more efficient. Through standardized data formats, calibration results and statistical analysis are quickly uploaded to the upper-level system, realizing cross-platform information sharing and promoting the integrated use of data. Through machine learning and historical data analysis, calibration parameters can be optimized and configured to provide intelligent decision-making support for subsequent calibrations, further improving the overall performance of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0038] Figure 1 A schematic flow chart of a remote monitoring method for an electric energy meter calibration line based on an industrial network provided in accordance with an embodiment of the present invention.

[0039] Figure 2A schematic diagram of working modules of an industrial network-based remote monitoring system for electric energy meter calibration lines provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0040] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0041] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0042] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0043] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0044] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, which are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0045] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0046] Example 1, reference Figure 1 , which is the first embodiment of the present invention, and provides a remote monitoring method for an electric energy meter calibration line based on an industrial network, comprising:

[0047] S1: The calibration system receives the calibration task information of the electric energy meter from the metering production scheduling platform, and schedules the mechanical devices in the calibration line to enter the corresponding calibration unit according to the task information.

[0048] Furthermore, the calibration system includes functions for calibration task management, calibration and data processing and services during the process, completing the information exchange between the control software and the calibration software, coordinating the actions between the calibration conveying system and the calibration device, executing calibration tests, and realizing the requirements of each functional unit; completing the information exchange between the single-phase line and the metering production scheduling platform, and actively uploading calibration data information to the metering production scheduling platform; and being able to cooperate with the intelligent three-dimensional warehouse to exchange logistics information and complete the automated operation of the entire process.

[0049] It should be noted that the received electric energy meter verification task information includes task ID, electric energy meter information, verification requirements, priority and transportation information;

[0050] Through the API data transmission protocol, the calibration system establishes a connection with the metrology production scheduling platform and receives task information in real time. The received information is processed by the parsing module to extract the calibration task information. At the same time, the receipt confirmation is fed back to the metrology production scheduling platform. Based on the task information, the time and place for the mechanical device in the calibration line to perform the task are determined, and a scheduling plan is generated.

[0051] Analyze the received task information, combine it with the current status data of the calibration line, and use the industrial network to update the information in real time to generate a scheduling plan;

[0052] The scheduling plan includes determining the order of use of mechanical devices and setting working parameters, calculating the expected use time of each device, and performing rationality analysis and optimization of scheduling;

[0053] After the scheduling plan is generated, the designated mechanical device is automatically directed to move to the corresponding calibration unit through the internal communication protocol and the industrial Internet. At the same time, the real-time monitoring system tracks the movement trajectory of the mechanical device, so that the device enters the predetermined position according to the scheduling plan. The sensor monitors the displacement and positioning error of the device and uploads the real-time data to the monitoring platform.

[0054] Once the mechanical device successfully enters the corresponding calibration unit, the calibration parameters are monitored in real time and automatically configured through remote monitoring, while historical data and machine learning algorithms are used to optimize the parameter configuration.

[0055] S2: During the calibration process, the performance parameters of each mechanical device are monitored in real time to determine whether there are any abnormalities, and the actions of the calibration units are coordinated. When an abnormality is found, an alarm is immediately triggered and the calibration is automatically stopped. If there is no abnormality, the calibration is completed and the test results are generated.

[0056] Furthermore, the performance parameters displacement X(t), vibration V(t), and current I(t) are collected by sensors installed on each mechanical device. High-frequency data collection is set to collect 10 times per second to provide timely feedback on the status of the mechanical device and define the comprehensive state function S(t):

[0057]

[0058] Among them, k1, k2, k3 are weight coefficients, satisfying k1+k2+k3=1; X max 、V max ,I max They are the maximum displacement value, the maximum vibration value, and the maximum current value. When S(t) exceeds the alarm threshold S threshold , triggering an alarm.

[0059] According to the comprehensive state S(t) at the current moment, if S(t)>S threshold =1.2, an exception is reported and an exception report is generated, showing the specific parameters and adjustment suggestions;

[0060] Define the action control model:

[0061]

[0062] Where A(t) is the output of the action control, f is the action control output calculated according to the input state S(t), A(t) = 1 triggers shutdown and alarm; A(t) = 0 continues the current operation;

[0063] If no abnormality is found during the entire calibration process, the calibration operation will continue. After the preset calibration time, the load test and performance evaluation of the electric energy meter will be completed. After the test, the calibration system will automatically generate calibration data.

[0064] It should be noted that the single-phase line monitors the system operation of the main control and sub-control and the working conditions of the underlying hardware equipment and components in real time. When the system and equipment are abnormal, the abnormal alarm information is uploaded to the single-phase line management platform in a timely manner and sent to the metering production scheduling platform. After receiving the abnormal alarm information, the metering production scheduling platform pushes the alarm information to the large-screen three-dimensional simulation system for intuitive display. For important key equipment, the three-dimensional simulation system performs linkage switching between simulation screen and video monitoring, realizing the three-level linkage of on-site alarm information, simulation screen, and video scene.

[0065] The temperature and humidity monitoring function in the calibration area is realized through special monitoring equipment, which can monitor and query the real-time situation of the entire single-phase line, the status of each working unit (operating, idle, faulty) and the completion of the execution task, etc. The monitoring contents are mainly as follows:

[0066] The accuracy and multi-function calibration unit supports the centralized display of real-time error data of each meter, various error information (such as wiring errors, temperature abnormalities, etc.), test conclusion information, automatic connection information, ambient temperature information, meter-level unqualified information, each special machine calibration unit sub-item and overall beat information.

[0067] The voltage test unit displays the voltage value, voltage time, voltage leakage current value, voltage breakdown information, inspected product information, conclusion information, ambient temperature, humidity information, table level unqualified information, sub-item test rhythm information, and the overall rhythm information of this process.

[0068] The appearance inspection unit displays appearance failure information, appearance recognition image information, inspection product conveying status information, surface level failure information, sub-item inspection rhythm information, and overall process rhythm information.

[0069] The display content of production statistical indicators such as the daily and monthly inspection plan, actual inspection quantity, and pass rate can be set and modified.

[0070] When the working unit finds that there is an abnormal problem in the calibration line, the single-phase line needs to prompt the abnormality and solution, and upload the abnormal information to the production management and scheduling platform, and display the problem on the large screen of the system, so that the operating personnel can find the problem, understand the problem, and solve the problem quickly at the first time.

[0071] S3: Query and statistically analyze the calibration results through the data management system, and upload the data to the upper-level system to achieve effective storage and sharing.

[0072] Furthermore, the performance parameters of each mechanical device during the calibration of the electric energy meter are recorded in a database, each performance parameter corresponds to a unique identifier in the database, and after the calibration is completed, the test results are summarized to generate a calibration report;

[0073] The user enters the query conditions in the interface, generates SQL statements to retrieve the corresponding data, and returns the results. The user chooses to view detailed information and clicks on the device ID to display the corresponding verification report;

[0074] Input the test data into the statistical model to calculate the average deviation and pass rate of each device:

[0075]

[0076] Among them, R avg is the pass rate, C totalis the number of qualified tests, T total is the total number of inspections;

[0077] Each time a calibration result is generated, the uploaded information package is automatically prepared, the API interface is called, the data is packaged and sent to the upper system, and the data received by the upper system will be stored in the data warehouse to achieve effective storage and sharing.

[0078] Embodiment 2, the second embodiment of the present invention, is different from the previous embodiment in that:

[0079] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0080] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0081] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0082] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0083] Example 3, reference Figure 2 , which is an embodiment of the present invention, provides an industrial network-based electric energy meter calibration line remote monitoring system, characterized in that it includes a task management module 1, a scheduling and control module 2, a detection and monitoring module 3, a data management and statistics module 4, and an information upload and sharing module 5;

[0084] Task management module 1 is responsible for receiving the information of electric energy meter calibration tasks from the metering production scheduling platform, establishing an API connection with the metering production scheduling platform, receiving tasks in real time, parsing the received task information, confirming the task reception through the feedback mechanism, generating a scheduling plan, and determining the allocation and scheduling order of mechanical devices;

[0085] Scheduling and control module 2 generates a scheduling plan for the mechanical device based on the task information and the current calibration line status, controls the movement of the mechanical device, uses the industrial Internet protocol to automatically command the mechanical device to move to the designated calibration unit, monitors the displacement and positioning error of the mechanical device in real time, and uploads the data to the monitoring platform;

[0086] Detection and monitoring module 3, collects performance parameters through sensors, performs high-frequency data acquisition, analyzes machine status, defines comprehensive status functions, monitors real-time data and triggers alarms, generates abnormality reports, provides specific parameters and suggestions, and controls the verification process;

[0087] Data management and statistics module 4 records the performance parameters in each verification process into the database, generates a unique identifier for each parameter, provides a user interface to allow the input of query conditions, automatically generates SQL statements, queries corresponding data, calculates the average deviation and qualified rate of the equipment, generates statistical reports, and supports data export;

[0088] The information upload and sharing module 5 automatically prepares the uploaded data packet, sends the data to the upper system using the API interface, ensures that the data format is correct, facilitates the upper system to parse, stores the data received by the upper system, and supports subsequent query and analysis functions.

[0089] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A remote monitoring method for electric energy meter calibration line based on industrial network, characterized in that: include, The verification system receives the verification task information of the electric energy meter from the metering production scheduling platform, and dispatches the mechanical devices in the verification line to enter the corresponding verification unit according to the task information; During the verification process, the performance parameters of each mechanical device are monitored in real time to determine whether there are any abnormalities and coordinate the actions of the verification units; When an abnormality is found, an alarm is triggered immediately and the calibration is automatically stopped. If there is no abnormality, the calibration is completed and the test results are generated; The calibration results are queried and statistically analyzed through the data management system, and the data is uploaded to the upper-level system to achieve effective storage and sharing.

2. The method for remote monitoring of electric energy meter calibration lines based on industrial network according to claim 1, characterized in that: The calibration system includes functions for calibration task management, data processing and services during the calibration process, completing information interaction between the control software and the calibration software, coordinating the actions between the calibration conveying system and the calibration device, executing calibration tests, and realizing the requirements of each functional unit; completing information interaction between the single-phase line and the metering production scheduling platform, and actively uploading calibration data information to the metering production scheduling platform; and being able to cooperate with the intelligent stereoscopic warehouse, exchange logistics information, and complete the automated operation of the entire process.

3. The method for remote monitoring of electric energy meter calibration lines based on industrial network according to claim 2, characterized in that: The received electric energy meter verification task information includes task ID, electric energy meter information, verification requirements, priority and transportation information; Through the API data transmission protocol, the calibration system establishes a connection with the metrology production scheduling platform and receives task information in real time. The received information is processed by the parsing module to extract the calibration task information. At the same time, the receipt confirmation is fed back to the metrology production scheduling platform. Based on the task information, the time and place for the mechanical device in the calibration line to perform the task are determined, and a scheduling plan is generated.

4. The method for remote monitoring of electric energy meter calibration lines based on industrial network as claimed in claim 3, characterized in that: The mechanical device in the dispatching and verification line includes analyzing the received task information, combining the current status data of the verification line, and using the industrial network to update the information in real time to generate a dispatch plan; The scheduling plan includes determining the order of use of mechanical devices and setting working parameters, calculating the expected use time of each device, and performing rationality analysis and optimization of scheduling; After the scheduling plan is generated, the designated mechanical device is automatically directed to move to the corresponding calibration unit through the internal communication protocol and the industrial Internet. At the same time, the real-time monitoring system tracks the movement trajectory of the mechanical device, so that the device enters the predetermined position according to the scheduling plan. The sensor monitors the displacement and positioning error of the device and uploads the real-time data to the monitoring platform. Once the mechanical device successfully enters the corresponding calibration unit, the calibration parameters are monitored in real time and automatically configured through remote monitoring, while historical data and machine learning algorithms are used to optimize the parameter configuration.

5. The method for remote monitoring of electric energy meter calibration lines based on industrial network according to claim 4, characterized in that: The determination of whether there is an abnormality includes collecting performance parameters such as displacement X(t), vibration V(t), and current I(t) through sensors installed on each mechanical device, setting high-frequency data collection, collecting data 10 times per second, and timely feeding back the state of the mechanical device, defining a comprehensive state function S(t): Among them, k1, k2, k3 are weight coefficients, satisfying k1+k2+k3=1; X max 、V max ,I max They are the maximum displacement value, the maximum vibration value, and the maximum current value. When S(t) exceeds the alarm threshold S threshold , triggering an alarm.

6. The method for remote monitoring of electric energy meter calibration lines based on industrial network according to claim 5, characterized in that: The triggering of the alarm and the automatic stopping of the test include: according to the comprehensive state S(t) at the current moment, if S(t)>S threshold =1.2, an exception is reported and an exception report is generated, showing the specific parameters and adjustment suggestions; Define the action control model: Where A(t) is the output of the action control, f is the action control output calculated according to the input state S(t), A(t) = 1 triggers shutdown and alarm; A(t) = 0 continues the current operation; If no abnormality is found during the entire calibration process, the calibration operation will continue. After the preset calibration time, the load test and performance evaluation of the electric energy meter will be completed. After the test, the calibration system will automatically generate calibration data.

7. The method for remote monitoring of electric energy meter calibration lines based on industrial network according to claim 6, characterized in that: The query and statistical analysis of the verification results include recording the performance parameters of each mechanical device during the verification of the electric energy meter into a database, each performance parameter corresponds to a unique identifier in the database, and after the verification is completed, the test results are summarized to generate a verification report; The user enters the query conditions in the interface, generates SQL statements to retrieve the corresponding data, and returns the results. The user chooses to view detailed information and clicks on the device ID to display the corresponding verification report; Input the test data into the statistical model to calculate the average deviation and pass rate of each device: Among them, R avg is the pass rate, C total is the number of qualified tests, T total is the total number of inspections; Each time a calibration result is generated, the uploaded information package is automatically prepared, the API interface is called, the data is packaged and sent to the upper system, and the data received by the upper system will be stored in the data warehouse to achieve effective storage and sharing.

8. A system using the remote monitoring method for electric energy meter calibration line based on industrial network as claimed in any one of claims 1 to 7, characterized in that: It includes task management module, scheduling and control module, detection and monitoring module, data management and statistics module, information uploading and sharing module; The task management module is responsible for receiving the electric energy meter calibration task information from the metering production scheduling platform, establishing an API connection with the metering production scheduling platform, receiving tasks in real time, parsing the received task information, confirming task reception through a feedback mechanism, generating a scheduling plan, and determining the allocation and scheduling order of mechanical devices; The scheduling and control module generates a scheduling plan for the mechanical device according to the task information and the current calibration line status, controls the movement of the mechanical device, uses the industrial Internet protocol, automatically directs the mechanical device to move to the designated calibration unit, monitors the displacement and positioning error of the mechanical device in real time, and uploads the data to the monitoring platform; The detection and monitoring module collects performance parameters through sensors, performs high-frequency data acquisition, analyzes machine status, defines comprehensive status functions, monitors real-time data and triggers alarms, generates abnormality reports, provides specific parameters and suggestions, and controls the calibration process; The data management and statistics module records the performance parameters of each verification process into the database, generates a unique identifier for each parameter, provides a user interface to allow the input of query conditions, automatically generates SQL statements, queries corresponding data, calculates the average deviation and qualified rate of the equipment, generates statistical reports, and supports data export; The information uploading and sharing module automatically prepares the uploaded data packet, sends the data to the upper system using the API interface, ensures that the data format is correct, facilitates the upper system to parse, stores the data received by the upper system, and supports subsequent query and analysis functions.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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