Electric energy meter verification line fault self-diagnosis and emergency processing method and system

Abstract

The invention relates to the technical field of intelligent monitoring and diagnosis, and discloses an electric energy meter verification line fault self-diagnosis and emergency processing method and system, and the method comprises the steps: monitoring the operation state of an electric energy meter verification line in real time through line debugging software, and collecting the working parameters of all units; executing a fault self-diagnosis program, automatically identifying and judging a line body level fault by utilizing a PLC and a self-diagnosis function, and generating a fault report; environment monitoring is carried out, and when an abnormal condition occurs, an alarm system is automatically triggered to carry out hierarchical response; when a fault occurs, an operator is automatically guided to perform emergency processing according to preset emergency processing steps, and all faults and processing data are recorded for subsequent tracing. According to the method, the purposes of fault self-diagnosis and emergency processing are effectively achieved, and the overall operation efficiency and safety of the electric energy meter verification line can be improved. And meanwhile, rapid processing of equipment faults and formulation of optimization maintenance strategies are promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent monitoring and diagnosis, and in particular to a method and system for self-diagnosis and emergency treatment of faults in a calibration line of an electric energy meter. Background Art

[0002] With the development of smart grids and the increasing demand for the application of electric energy meters, the verification and management technology of electric energy meters has gradually developed towards automation and intelligence. The traditional verification method of electric energy meters mainly relies on manual operation, which is not only inefficient, but also easily affected by human factors, resulting in inaccurate and unstable verification results. In recent years, with the rapid development of information technology, automation control technology and the Internet of Things, the verification and management of electric energy meters have begun to shift towards a more efficient and scientific direction. The existing verification systems mostly achieve comprehensive control of the verification process through the combination of software and hardware. This change has significantly improved the accuracy and efficiency of the verification. However, in actual applications, there are still widespread problems such as insufficient real-time monitoring capabilities, lack of fault diagnosis functions, and imperfect emergency response mechanisms, which hinder the further improvement and application of electric energy meter verification technology.

[0003] In view of the shortcomings of the existing technology, it can be seen that the defects of the current electric energy meter calibration line in fault self-diagnosis and emergency treatment are particularly prominent. When a fault occurs, most systems can only rely on manual experience for troubleshooting, missing the best time to deal with it, resulting in an extended maintenance cycle. At the same time, the traditional calibration line lacks effective intelligent monitoring means, cannot collect and analyze key data in real time, and the feedback mechanism is inflexible, resulting in the inability to timely discover potential fault hazards. In response to these problems, the electric energy meter calibration line fault self-diagnosis and emergency treatment method invented by us, with its real-time monitoring and intelligent analysis capabilities, can effectively improve the system's response speed and processing efficiency to faults, thereby greatly reducing the economic losses caused by faults. In addition, this technical solution can improve the intelligence level of the entire calibration process through automatic data interaction and information management, and achieve more efficient calibration operations and fault management, which has important practical application value. Summary of the invention

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

[0005] Therefore, the present invention provides a self-diagnosis and emergency processing method for electric energy meter calibration line faults, which has real-time and effective self-diagnosis capabilities, so that faults can be identified and processed in a timely manner. In the equipment fault analysis, the impact of environmental factors on equipment operation is fully considered to improve the accuracy of diagnosis.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions, a method for self-diagnosis and emergency treatment of faults in an electric energy meter calibration line, comprising: using line debugging software to monitor the operating status of the electric energy meter calibration line in real time, and collecting the working parameters of each unit; executing a fault self-diagnosis program, using PLC and self-diagnosis functions to automatically identify and judge line-level faults, and generate a fault report; implementing environmental monitoring, and when an abnormal situation occurs, automatically triggering an alarm system for hierarchical response; when a fault occurs, automatically guiding the operator to perform emergency treatment according to preset emergency treatment steps, and recording all faults and processing data for subsequent tracing.

[0007] As a preferred solution of the method for self-diagnosis and emergency treatment of faults of the electric energy meter calibration line of the present invention, wherein: the real-time monitoring of the operating status of the electric energy meter calibration line includes the system automatically performing self-checking to confirm that all sensors, processing units and actuators are in normal status, and feeding back the results in real time;

[0008] The line debugging software interacts with each monitoring unit through ECM to realize data collection. ECM processes data locally and supports multi-channel parallel technology. It simultaneously monitors detection point parameters including temperature, current, and power supply status. The system dynamically adjusts the monitoring threshold based on data feedback to adapt to environmental changes and equipment aging, ensuring the sensitivity and accuracy of monitoring.

[0009] As a preferred solution of the self-diagnosis and emergency treatment method for the fault of the electric energy meter calibration line described in the present invention, wherein: the collection of the working parameters of each unit includes that the system sets a fixed time interval, automatically uploads the status data of each unit to the central database, realizes the periodic recording and storage of data, and regularly updates the historical data and monitoring results synchronously through the interface with the cloud platform;

[0010] Once a fault or abnormal indicator is detected, the system will quickly disconnect the power supply of the faulty unit according to the preset response strategy, automatically record detailed information about the fault, including the type of fault, time of occurrence, and duration, and push it to relevant maintenance personnel in real time for timely processing and repair.

[0011] As a preferred solution of the electric energy meter calibration line fault self-diagnosis and emergency treatment method of the present invention, wherein: the execution of the fault self-diagnosis program includes: after the system is started, the PLC performs self-checking and reads the status of each sensor and module;

[0012] Monitor the real-time data of the core module, calculate the real-time temperature and real-time humidity, monitor the module status S to be 1 if normal, 0 if faulty, and update in real time:

[0013]

[0014] Among them, Dtemp is the real-time temperature reading, T low ,T high are the lower and upper limits of temperature, respectively, and D humidity is the real-time humidity reading, H low (t),H high (t) are the lower and upper limits of humidity, respectively;

[0015] For online monitoring of clock accuracy, the station compares with the remote clock server and issues an alarm if the limit is exceeded. Based on the returned signal status, the system records whether the connection is successful each time an attempt is made to connect, and counts the number of unsuccessful connection attempts.

[0016] As a preferred solution of the self-diagnosis and emergency treatment method for the fault of the electric energy meter calibration line described in the present invention, wherein: the generation of the fault report includes, generated by the PLC module, automatic display of all underlying faults, providing accurate fault information to the operator, and performing consistency judgment on each monitoring indicator. If any S is 0, the fault is recorded and a fault code is generated, and the generated fault report includes the fault time, fault code, environmental parameters and unqualified rate;

[0017] Add trend analysis to the report to show the changing trends of key indicators before and after the fault occurs. Through data comparison, the critical point of the fault can be quickly identified, and the mechanism and impact of the fault can be understood. According to the fault type and historical data, targeted processing suggestions are automatically generated in the report. The report provides historical record URLs or links related to the fault, allowing operators to access related fault analysis and processing records.

[0018] As a preferred solution of the self-diagnosis and emergency treatment method for the fault of the electric energy meter calibration line described in the present invention, wherein: the hierarchical response includes an equipment status monitoring layer, a bottom automatic diagnosis layer, a network monitoring layer, and a non-conforming rate monitoring and statistical layer. The system monitors and calculates the working status and calibration quality of the core equipment around the clock, and detects anomalies based on real-time data. Based on historical data and equipment standards, the abnormal thresholds of temperature, humidity, and pressure are set. When any measured value exceeds the set threshold, the system immediately triggers an alarm, records abnormal data, and marks specific parameters and equipment locations;

[0019] When the first abnormality is triggered, the system issues a warning and enters a warning response, records specific parameters and exceeded values, and displays a warning message to the operator; when the alarm state lasts for more than 5 minutes, it enters a fault state response and repeats the abnormality detection. If the abnormality still persists, it enters the next level, at which time the system will start a secondary recording of real-time monitoring data; when entering an emergency state response, the system provides specific emergency handling operation guidance, automatically guides the operator through the control interface, and presents the processing steps.

[0020] As a preferred solution of the self-diagnosis and emergency treatment method for the fault of the electric energy meter calibration line described in the present invention, wherein: the emergency treatment includes that when the temperature exceeds the set range, the system immediately triggers a temperature alarm, records abnormal parameters and generates a fault report. After the alarm, the system continues to collect temperature data and feeds it back to the control system, observes the temperature change trend, checks the working status of the heat dissipation or heating equipment, and ensures normal operation. If it is detected that the temperature quickly returns to the normal range, the system can automatically restart the module. If the temperature continues to be abnormal, the operator is instructed to perform manual maintenance, adjust the operating conditions or replace the faulty component;

[0021] When the humidity exceeds the set range, the humidity alarm is triggered, the humidity parameters are recorded and a fault report is generated. The humidity changes are monitored in real time, the trend of abnormal humidity is analyzed, and the ventilation, humidification or dehumidification equipment is checked to ensure the normal operation of the equipment. When the humidity returns to the normal range, the humidity monitoring system is automatically restarted. If the abnormality persists, the operator is guided to perform manual inspection and repair;

[0022] When the failure rate exceeds the set threshold, a failure rate alarm is generated and recorded, the failure data is analyzed, the causes are identified, including measurement errors or equipment failures, all measuring equipment involved are checked, the calibration status is confirmed, the failure modes are found to identify potential root causes of failures, and based on the analysis results, the calibration operating conditions or processes are adjusted to ensure that the qualified rate is restored.

[0023] As a preferred solution of the electric energy meter calibration line fault self-diagnosis and emergency processing system of the present invention, it includes: a real-time monitoring module, a fault diagnosis module, an environmental monitoring and alarm module, a data management and analysis module, and an emergency processing guidance module;

[0024] The real-time monitoring module continuously monitors the operating status of the electric energy meter calibration line, uses the line debugging software to interact with each monitoring unit through the ECM, realizes real-time data collection and storage, regularly performs system self-checks to ensure that all sensors, processing units and actuators are in normal status, and provides real-time feedback results;

[0025] The fault diagnosis module uses PLC to automatically identify and diagnose faults, calculates and monitors important parameters such as temperature and humidity in real time, determines whether the equipment is normal based on the set thresholds, and generates a fault code and records the fault information if any fault is detected;

[0026] The environmental monitoring and alarm module monitors the environmental status, automatically triggers the alarm system and responds in a hierarchical manner, monitors the temperature, humidity and pressure of the equipment around the clock, and determines the abnormal threshold according to the set standards. When an abnormal value is detected, it immediately triggers an alarm and records the abnormal data, including the exceeded value and the equipment location;

[0027] The data management and analysis module regularly uploads the status data of each unit to the central database to achieve periodic recording and storage of data, synchronizes historical data through the interface with the cloud platform, and supports remote access and data analysis;

[0028] The emergency handling guidance module guides the operator to perform emergency handling according to preset steps when a fault occurs. When the alarm conditions are met, the system provides the operator with specific processing steps and guidance, displays the processing flow in real time through the control interface, and records all fault handling steps and results for subsequent tracing and optimization.

[0029] 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, the steps of a method for self-diagnosis and emergency treatment of faults in an electric energy meter calibration line are implemented.

[0030] A computer-readable storage medium stores a computer program, wherein the computer program, when executed by a processor, implements the steps of a method for self-diagnosis and emergency handling of faults in an electric energy meter calibration line.

[0031] Beneficial effects of the present invention: With the help of the dynamic temperature and humidity monitoring model, the system can realize automatic identification of more than 80% of faults, greatly improving the fault diagnosis capability of the equipment. By considering the dynamic temperature and humidity thresholds, it is possible to maintain effective monitoring of the equipment status under different operating conditions, making the equipment more adaptable to changing environments. Improving the timeliness of fault identification can effectively reduce downtime caused by equipment failures, thereby reducing overall maintenance costs. Utilizing advanced data analysis and dynamic models, the system has good self-learning capabilities, can continuously optimize parameter settings during continuous operation, and improve decision-making efficiency. Combined with fault self-diagnosis and environmental monitoring, a set of intelligent monitoring systems is provided, making the management of the electricity meter calibration line more scientific, accurate and efficient. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] 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:

[0033] Figure 1 A schematic flow chart of a method for self-diagnosis and emergency treatment of faults in an electric energy meter calibration line provided by an embodiment of the present invention.

[0034] Figure 2 A schematic diagram of working modules of an electric energy meter calibration line fault self-diagnosis and emergency processing system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0035] 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.

[0036] 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.

[0037] 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.

[0038] 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.

[0039] 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.

[0040] 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.

[0041] Example 1, reference Figure 1, which is the first embodiment of the present invention, provides a method for self-diagnosis and emergency treatment of faults in an electric energy meter calibration line, comprising:

[0042] S1: Use the line debugging software to monitor the operating status of the electric energy meter calibration line in real time and collect the working parameters of each unit.

[0043] Furthermore, the system automatically performs self-checks to confirm that all sensors, processing units, and actuators are in normal condition and provides feedback on the results in real time;

[0044] The line debugging software interacts with each monitoring unit through ECM to realize data collection. ECM processes data locally and supports multi-channel parallel technology. It simultaneously monitors detection point parameters including temperature, current, and power supply status. The system dynamically adjusts the monitoring threshold based on data feedback to adapt to environmental changes and equipment aging, ensuring the sensitivity and accuracy of monitoring.

[0045] It should be noted that the system sets fixed time intervals to automatically upload the status data of each unit to the central database, realize the periodic recording and storage of data, and regularly synchronize and update historical data and monitoring results through the interface with the cloud platform;

[0046] Once a fault or abnormal indicator is detected, the system will quickly disconnect the power supply of the faulty unit according to the preset response strategy, automatically record detailed information about the fault, including the type of fault, time of occurrence, and duration, and push it to relevant maintenance personnel in real time for timely processing and repair.

[0047] S2: Execute the fault self-diagnosis program, use the PLC and self-diagnosis function to automatically identify and judge line-level faults, and generate a fault report.

[0048] Furthermore, after the system is started, the PLC performs a self-check and reads the status of each sensor and module;

[0049] Monitor the real-time data of the core module, calculate the real-time temperature and real-time humidity, monitor the module status S to be 1 if normal, 0 if faulty, and update in real time:

[0050]

[0051] Among them, D temp is the real-time temperature reading, T low ,T high are the lower and upper limits of temperature, respectively, and D humidity is the real-time humidity reading, H low (t),H high (t) are the lower and upper limits of humidity, respectively;

[0052] The dynamic threshold is defined as:

[0053] T low (t) = T base -k1·sin(wt+φ)

[0054] T high (t) = T base -k2·sin(wt+φ)

[0055] Among them, k1 and k2 are the amplitude factors of temperature fluctuation, w is the frequency of temperature change, φ is the phase of temperature change, and the lower and upper limits of humidity can be obtained by the same logic; at the same time, the number of unqualified items U and the unqualified rate R in N times of verification are calculated:

[0056]

[0057] For online monitoring of clock accuracy, the station compares with the remote clock server and issues an alarm if the limit is exceeded. Based on the returned signal status, the system records whether the connection is successful each time an attempt is made to connect, and counts the number of unsuccessful connection attempts.

[0058] It should be noted that the PLC module generates all the underlying faults automatically, provides accurate fault information to the operator, and makes consistency judgment on each monitoring indicator. If any S is 0, the fault is recorded and a fault code F is generated. c :

[0059]

[0060] Among them, m is the total number of monitoring indicators, S i is the state of the i-th module;

[0061] Generate a fault report including:

[0062] Fault report number: Each report has a unique identifier for easy tracking and management.

[0063] Fault time: Accurately record the date and time when the fault occurred.

[0064] Fault code: Use a unified fault code system for easy identification and classification.

[0065] Impact indicators: Specify the system components or indicators that are affected (such as temperature, humidity, operating status, etc.).

[0066] Fault description: Describe the fault phenomenon and impact clearly and concisely.

[0067] Processing suggestions: Provide professional processing solutions and preventive measures based on fault type and historical data.

[0068] Responsible Department: Indicates the department or person responsible for troubleshooting.

[0069] Fault recovery time: record the time node of fault recovery.

[0070] Add trend analysis to the report to show the changing trends of key indicators before and after the fault occurs. Through data comparison, the critical point of the fault can be quickly identified, and the mechanism and impact of the fault can be understood. According to the fault type and historical data, targeted processing suggestions are automatically generated in the report. The report provides historical record URLs or links related to the fault, allowing operators to access related fault analysis and processing records.

[0071] S3: Implement environmental monitoring and automatically trigger the alarm system for hierarchical response when abnormal situations occur.

[0072] Furthermore, a hierarchical response is carried out, including the equipment status monitoring layer, the bottom layer automatic diagnosis layer, the network monitoring layer and the non-conformity rate monitoring and statistics layer. The system monitors and calculates the working status and calibration quality of the core equipment around the clock, and detects anomalies based on real-time data. Based on historical data and equipment standards, the abnormal thresholds of temperature, humidity and pressure are set. When any measured value exceeds the set threshold, the system immediately triggers an alarm, records the abnormal data, and marks the specific parameters and equipment location;

[0073] When the first abnormality is triggered, the system issues a warning and enters a warning response, records specific parameters and exceeded values, and displays a warning message to the operator; when the alarm state lasts for more than 5 minutes, it enters a fault state response and repeats the abnormality detection. If the abnormality still persists, it enters the next level, at which time the system will start a secondary recording of real-time monitoring data; when entering an emergency state response, the system provides specific emergency handling operation guidance, automatically guides the operator through the control interface, and presents the processing steps.

[0074] It should be noted that each level of the hierarchical response has a clear area of ​​responsibility, including:

[0075] Equipment status monitoring layer: responsible for real-time monitoring of the health status of each device, including environmental factors such as temperature, humidity and pressure.

[0076] Bottom-layer automatic diagnosis: responsible for self-diagnosis of PLC and core electrical measuring equipment, and real-time display of fault information.

[0077] Network monitoring layer: monitors the health of the fieldbus network to ensure normal communication.

[0078] Unqualified rate monitoring and statistics layer: responsible for tracking and counting the unqualified data of each table position and supporting traceability analysis.

[0079] Alarm and notification layer: Provides environmental anomaly alarms to ensure rapid response to high-risk situations.

[0080] Feedback and improvement layer: summarize experience, optimize fault handling logic, and adjust maintenance suggestions in a timely manner.

[0081] S4: When a fault occurs, the system automatically guides the operator to perform emergency processing according to the preset emergency processing steps, and records all fault and processing data for subsequent tracing.

[0082] Furthermore, when the temperature exceeds the set range, the system immediately triggers a temperature alarm, records abnormal parameters and generates a fault report. After the alarm, the system continues to collect temperature data and feeds it back to the control system, observes the temperature trend, checks the working status of the heat dissipation or heating equipment, and ensures normal operation. If it detects that the temperature quickly returns to the normal range, the system can automatically restart the module. If the temperature continues to be abnormal, the operator is instructed to perform manual maintenance, adjust the operating conditions or replace the faulty component;

[0083] When the humidity exceeds the set range, the humidity alarm is triggered, the humidity parameters are recorded and a fault report is generated. The humidity changes are monitored in real time, the trend of abnormal humidity is analyzed, and the ventilation, humidification or dehumidification equipment is checked to ensure the normal operation of the equipment. When the humidity returns to the normal range, the humidity monitoring system is automatically restarted. If the abnormality persists, the operator is guided to perform manual inspection and repair;

[0084] When the failure rate exceeds the set threshold, a failure rate alarm is generated and recorded, the failure data is analyzed, the causes are identified, including measurement errors or equipment failures, all measuring equipment involved are checked, the calibration status is confirmed, the failure modes are found to identify potential root causes of failures, and based on the analysis results, the calibration operating conditions or processes are adjusted to ensure that the qualified rate is restored.

[0085] Embodiment 2, the second embodiment of the present invention, is different from the previous embodiment in that:

[0086] 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.

[0087] 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.

[0088] 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.

[0089] 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.

[0090] Example 3, reference Figure 2 , which is an embodiment of the present invention, provides an electric energy meter calibration line fault self-diagnosis and emergency processing system, which is characterized by: comprising a real-time monitoring module 1, a fault diagnosis module 2, an environmental monitoring and alarm module 3, a data management and analysis module 4, and an emergency processing guidance module 5;

[0091] Real-time monitoring module 1 continuously monitors the operating status of the electric energy meter calibration line, uses the line debugging software to interact with each monitoring unit through ECM, realizes real-time data collection and storage, performs system self-checks regularly to ensure that all sensors, processing units and actuators are in normal status, and provides real-time feedback on the results;

[0092] Fault diagnosis module 2 uses PLC to automatically identify and diagnose faults, calculates and monitors important parameters such as temperature and humidity in real time, and determines whether the equipment is normal based on the set thresholds. If any fault is detected, a fault code is generated and the fault information is recorded;

[0093] Environmental monitoring and alarm module 3 monitors environmental conditions, automatically triggers the alarm system and responds in a hierarchical manner, monitors the temperature, humidity and pressure of the equipment around the clock, and determines the abnormal threshold according to the set standards. When an abnormal value is detected, it immediately triggers an alarm and records the abnormal data, including the exceeded value and the equipment location;

[0094] Data management and analysis module 4 regularly uploads the status data of each unit to the central database to achieve periodic recording and storage of data, synchronizes historical data through the interface with the cloud platform, and supports remote access and data analysis;

[0095] The emergency handling guidance module 5 guides the operator to perform emergency handling according to preset steps when a fault occurs. When the alarm conditions are met, the system provides the operator with specific processing steps and guidance, displays the processing flow in real time through the control interface, and records all fault handling steps and results for subsequent tracing and optimization.

[0096] 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. The self-diagnosis and emergency treatment method for electric energy meter calibration line fault is characterized by: include, Use the line debugging software to monitor the operating status of the electric energy meter calibration line in real time and collect the working parameters of each unit; Execute the fault self-diagnosis program, use PLC and self-diagnosis function to automatically identify and judge line-level faults, and generate fault reports; Implement environmental monitoring, and when abnormal situations occur, automatically trigger the alarm system to respond in a hierarchical manner; When a fault occurs, the system automatically guides the operator to perform emergency processing according to the preset emergency processing steps, and records all fault and processing data for subsequent tracing.

2. The method for self-diagnosis and emergency treatment of electric energy meter calibration line faults according to claim 1, characterized in that: The real-time monitoring of the operating status of the electric energy meter calibration line includes the system automatically performing self-checks to confirm that all sensors, processing units and actuators are in normal status and providing real-time feedback on the results; The line debugging software interacts with each monitoring unit through ECM to realize data collection. ECM processes data locally and supports multi-channel parallel technology. It simultaneously monitors detection point parameters including temperature, current, and power supply status. The system dynamically adjusts the monitoring threshold based on data feedback to adapt to environmental changes and equipment aging, ensuring the sensitivity and accuracy of monitoring.

3. The method for self-diagnosis and emergency treatment of faults in the electric energy meter calibration line according to claim 2, characterized in that: The collection of the working parameters of each unit includes that the system sets a fixed time interval to automatically upload the status data of each unit to the central database, realizes the periodic recording and storage of data, and regularly updates the historical data and monitoring results synchronously through the interface with the cloud platform; Once a fault or abnormal indicator is detected, the system will quickly disconnect the power supply of the faulty unit according to the preset response strategy, automatically record detailed information about the fault, including the type of fault, time of occurrence, and duration, and push it to relevant maintenance personnel in real time for timely processing and repair.

4. The method for self-diagnosis and emergency treatment of electric energy meter calibration line faults according to claim 3, characterized in that: The execution of the fault self-diagnosis program includes: after the system is started, the PLC performs a self-check and reads the status of each sensor and module; Monitor the real-time data of the core module, calculate the real-time temperature and real-time humidity, monitor the module status S to be 1 if normal, 0 if faulty, and update in real time: Among them, D temp is the real-time temperature reading, T low ,T high are the lower and upper limits of temperature, respectively, and D humidity is the real-time humidity reading, H low (t),H high (t) are the lower and upper limits of humidity, respectively; For online monitoring of clock accuracy, the station compares with the remote clock server and issues an alarm if the limit is exceeded. Based on the returned signal status, the system records whether the connection is successful each time an attempt is made to connect, and counts the number of unsuccessful connection attempts.

5. The method for self-diagnosis and emergency treatment of electric energy meter calibration line faults according to claim 4, characterized in that: The generation of the fault report includes, generated by the PLC module, automatic display of all underlying faults, providing accurate fault information to the operator, performing consistency judgment on each monitoring indicator, recording the fault and generating a fault code if any S is 0, and generating a fault report including fault time, fault code, environmental parameters and failure rate; Add trend analysis to the report to show the changing trends of key indicators before and after the fault occurs. Through data comparison, the critical point of the fault can be quickly identified, and the mechanism and impact of the fault can be understood. According to the fault type and historical data, targeted processing suggestions are automatically generated in the report. The report provides historical record URLs or links related to the fault, allowing operators to access related fault analysis and processing records.

6. The method for self-diagnosis and emergency treatment of faults in the electric energy meter calibration line according to claim 5, characterized in that: The hierarchical response includes the equipment status monitoring layer, the bottom layer automatic diagnosis layer, the network monitoring layer and the non-conformity rate monitoring and statistics layer. The system monitors and calculates the working status and calibration quality of the core equipment around the clock, detects anomalies based on real-time data, and sets abnormal thresholds for temperature, humidity and pressure based on historical data and equipment standards. When any measured value exceeds the set threshold, the system immediately triggers an alarm, records abnormal data, and marks specific parameters and equipment locations. When the first abnormality is triggered, the system issues a warning and enters a warning response, records specific parameters and exceeded values, and displays a warning message to the operator; when the alarm state lasts for more than 5 minutes, it enters a fault state response and repeats the abnormality detection. If the abnormality still persists, it enters the next level, at which time the system will start a secondary recording of real-time monitoring data; when entering an emergency state response, the system provides specific emergency handling operation guidance, automatically guides the operator through the control interface, and presents the processing steps.

7. The method for self-diagnosis and emergency treatment of electric energy meter calibration line faults according to claim 6, characterized in that: The emergency treatment includes that when the temperature exceeds the set range, the system immediately triggers a temperature alarm, records abnormal parameters and generates a fault report. After the alarm, the system continues to collect temperature data and feeds it back to the control system, observes the temperature change trend, checks the working status of the heat dissipation or heating equipment, and ensures normal operation. If it is detected that the temperature quickly returns to the normal range, the system can automatically restart the module. If the temperature continues to be abnormal, the operator is instructed to perform manual maintenance, adjust the operating conditions or replace the faulty components; When the humidity exceeds the set range, the humidity alarm is triggered, the humidity parameters are recorded and a fault report is generated. The humidity changes are monitored in real time, the trend of abnormal humidity is analyzed, and the ventilation, humidification or dehumidification equipment is checked to ensure the normal operation of the equipment. When the humidity returns to the normal range, the humidity monitoring system is automatically restarted. If the abnormality persists, the operator is guided to perform manual inspection and repair; When the failure rate exceeds the set threshold, a failure rate alarm is generated and recorded, the failure data is analyzed, the causes are identified, including measurement errors or equipment failures, all measuring equipment involved are checked, the calibration status is confirmed, the failure modes are found to identify potential root causes of failures, and based on the analysis results, the calibration operating conditions or processes are adjusted to ensure that the qualified rate is restored.

8. A system using the electric energy meter calibration line fault self-diagnosis and emergency processing method as claimed in any one of claims 1 to 7, characterized in that: It includes real-time monitoring module, fault diagnosis module, environmental monitoring and alarm module, data management and analysis module, and emergency handling guidance module; The real-time monitoring module continuously monitors the operating status of the electric energy meter calibration line, uses the line debugging software to interact with each monitoring unit through the ECM, realizes real-time data collection and storage, regularly performs system self-checks to ensure that all sensors, processing units and actuators are in normal status, and provides real-time feedback results; The fault diagnosis module uses PLC to automatically identify and diagnose faults, calculates and monitors important parameters such as temperature and humidity in real time, determines whether the equipment is normal based on the set thresholds, and generates a fault code and records the fault information if any fault is detected; The environmental monitoring and alarm module monitors the environmental status, automatically triggers the alarm system and responds in a hierarchical manner, monitors the temperature, humidity and pressure of the equipment around the clock, and determines the abnormal threshold according to the set standards. When an abnormal value is detected, it immediately triggers an alarm and records the abnormal data, including the exceeded value and the equipment location; The data management and analysis module regularly uploads the status data of each unit to the central database to achieve periodic recording and storage of data, synchronizes historical data through the interface with the cloud platform, and supports remote access and data analysis; The emergency handling guidance module guides the operator to perform emergency handling according to preset steps when a fault occurs. When the alarm conditions are met, the system provides the operator with specific processing steps and guidance, displays the processing flow in real time through the control interface, and records all fault handling steps and results for subsequent tracing and optimization.

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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