Metering terminal automatic detection method and system

Abstract

The invention relates to the technical field of metering terminal automatic detection, in particular to a metering terminal automatic detection method and system, and the method comprises the steps: automatically collecting the operation data of a metering terminal, and synchronously obtaining the environment data of the metering terminal; preprocessing the operation data of the metering terminal, and extracting characteristic parameters in the operation data; automatically testing the metering terminal function module according to the characteristic parameters; and analyzing an automatic test result and automatically evaluating the level of the metering terminal. Through synchronous acquisition of the operation data and the environment data, multi-dimensional description of the operation state of the metering terminal is realized, the defect that only the operation data is concerned and the environment influence is ignored in a traditional detection means is overcome, powerful support is provided for accurate performance evaluation and fault diagnosis, and the scientificity and reliability of detection are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of automatic detection of metering terminals, and in particular to an automatic detection method and system for metering terminals. Background Art

[0002] With the rapid development of intelligent and digital technologies, metering terminals have been widely used as important equipment in the field of energy management and smart grids. Metering terminals are mainly used to collect, record and transmit energy usage data, and are a key component of energy management systems. In recent years, with the in-depth development of the Internet of Things, big data analysis and artificial intelligence technologies, the functions of metering terminals have gradually shifted towards intelligence and automation. Not only have traditional electricity metering terminals been continuously upgraded in terms of functional modules and reliability, but new metering terminals have also integrated functions such as communication, remote control, data storage and anomaly detection. The complexity and integration of such functions have put forward higher requirements on the performance stability, accuracy and environmental adaptability of metering terminals.

[0003] During the development and application of metering terminals, their reliability and accuracy directly affect the overall operating efficiency of energy metering and management systems. Therefore, comprehensive and accurate detection and evaluation of metering terminals has become a core task in R&D, production and subsequent operation and maintenance. However, traditional metering terminal detection methods are mostly based on manual or semi-automatic operations, which have problems such as low efficiency, incomplete data acquisition and insufficient test accuracy. In addition, since metering terminals are usually deployed in a variety of application scenarios, the complexity of their operating environment poses new challenges to the real-time, comprehensive and intelligent level of detection work. These problems have prompted technology developers to continuously explore more efficient and accurate solutions in the field of detection technology to meet the higher requirements of modern smart grids for metering terminals.

[0004] In summary, the automated data collection and analysis technology can simultaneously obtain the operating data and environmental data of the metering terminal, breaking through the limitations of the existing technology for operating environment adaptability testing. At the same time, by preprocessing the operating data, extracting key characteristic parameters, and further combining the characteristic parameters to perform automated testing and analysis on the functional modules, the test efficiency and accuracy are improved, and the automated evaluation of the test results is also realized, reducing manual participation and shortening the detection cycle. Summary of the invention

[0005] In view of the above-mentioned problems, the present invention is proposed.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: a method for automatic detection of metering terminals, comprising: automatically collecting metering terminal operation data, and synchronously acquiring environmental data of the metering terminal; preprocessing the metering terminal operation data, and extracting characteristic parameters in the operation data; performing automatic testing on the metering terminal functional modules according to the characteristic parameters; analyzing the automatic test results, and automatically evaluating the metering terminal level.

[0007] As a preferred solution of the automatic detection method of the metering terminal described in the present invention, the automatic collection of metering terminal operation data and the synchronous acquisition of the environmental data of the metering terminal include obtaining the voltage and current of the metering terminal when it is running through wireless communication, and synchronously obtaining the temperature, humidity, and electromagnetic interference intensity of the metering terminal environment, and maintaining clock synchronization during the data collection process.

[0008] As a preferred solution of the automatic detection method of the metering terminal described in the present invention, the preprocessing of the metering terminal operation data and the extraction of characteristic parameters in the operation data include eliminating the jitter of the collected data through the Kalman filtering algorithm, converting the data into a unified format, and extracting the voltage deviation rate and current fluctuation amplitude in the operation data.

[0009] As a preferred solution of the automatic detection method of the metering terminal described in the present invention, the automatic testing of the functional modules of the metering terminal according to the characteristic parameters includes automatically testing the metering module and the communication module of the metering terminal by analyzing the characteristic parameters, simulating the actual power grid conditions, and testing the response performance of the metering terminal.

[0010] As a preferred solution of the automatic detection method for metering terminals described in the present invention, wherein: the analysis of automated test results and automatic evaluation of metering terminal grades include: the automatic detection system grades metering terminals by analyzing test results and automatically generates a detection report.

[0011] As a preferred solution of the automatic detection method for metering terminals described in the present invention, wherein: the grading of the metering terminals includes grading the metering modules, communication modules, and response performance of the metering terminals to the power grid. When the metering terminal is graded as A, the system automatically archives the detection records and incorporates them into the normal periodic detection plan; when the metering terminal is graded as B, the system automatically marks it as "suboptimal", automatically generates optimization suggestions, and re-tests within 3 to 6 months; when the metering terminal is graded as C, the system sends an alarm and marks it as "unavailable", prompting immediate deactivation or replacement.

[0012] As a preferred solution of the automatic detection method of the metering terminal described in the present invention, the metering terminal grade includes, by comparing the deviation value between the measurement value of the metering module in the metering terminal and the standard value, when the deviation value is within ±0.2%, the system judges that the metering module grade is A; when the deviation value is between ±0.2% and ±0.5%, the system judges that the metering module grade is B; when the deviation value exceeds ±0.5%, the system judges that the metering module grade is C.

[0013] The communication modules of the metering terminal are graded by analyzing the packet loss rate. When the packet loss rate of the communication module is ≤0.1%, the system determines that the communication module is grade A; when 0.1%<packet loss rate≤1%, the system determines that the communication module is grade B; when the packet loss rate>1%, the system determines that the communication module is grade C.

[0014] The response time is used to grade the response capability of the metering terminal to the power grid. The response time includes the time required from the change of external conditions to the stabilization of the metering terminal. When the response time is ≤100ms, the system judges that the response performance level of the metering terminal is Class A. When 100ms<response time≤500ms, the system judges that the response performance level of the metering terminal is Class B. When the response time is >500ms, the system judges that the response performance level of the metering terminal is Class C.

[0015] In order to solve the above technical problems, the present invention provides the following technical solutions: A system for an automatic detection method of a metering terminal, characterized in that it comprises: a data acquisition module, a preprocessing module, an automatic testing module and a grade evaluation module;

[0016] The data acquisition module automatically collects the operation data of the metering terminal and simultaneously obtains the environmental data of the metering terminal;

[0017] The preprocessing module preprocesses the metering terminal operation data and extracts characteristic parameters from the operation data;

[0018] The automatic test module performs automatic testing on the metering terminal function module according to the characteristic parameters;

[0019] The grade assessment module analyzes the automated test results and automatically assesses the grade of the metering terminal.

[0020] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the automatic detection method of a metering terminal as described above when executing the computer program.

[0021] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the automatic detection method for a metering terminal as described above.

[0022] The beneficial effects of the present invention are as follows: through the synchronous collection of operating data and environmental data, a multi-dimensional description of the operating status of the metering terminal is achieved, which makes up for the deficiency of traditional detection methods that only focus on operating data and ignore environmental impact, provides strong support for accurate performance evaluation and fault diagnosis, and improves the scientificity and reliability of detection.

[0023] Through preprocessing and feature parameter extraction, data is structured and efficient, making subsequent automated testing more accurate and efficient. This process significantly improves the depth and accuracy of data analysis and reduces the interference of irrelevant information on test results.

[0024] Through feature parameter-driven automated testing, the status of functional modules can be fully checked with high efficiency and accuracy, thus overcoming the inefficiency and missed detection problems in traditional manual testing. Faulty modules can be quickly diagnosed and located.

[0025] Through intelligent analysis of test results, the automation and standardization of performance level evaluation is achieved, avoiding subjective bias in manual evaluation. This automated evaluation mechanism improves the intelligence level of the overall detection system and provides strong support for the large-scale deployment and management of metering terminals. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0027] Figure 1 The present invention provides a flowchart of a method for automatic detection of a metering terminal according to an embodiment of the present invention. DETAILED DESCRIPTION

[0028] 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.

[0029] 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.

[0030] Example 1

[0031] Reference Figure 1 , which is an embodiment of the present invention, a metering terminal automatic detection method includes:

[0032] S1: Automatically collect the operation data of the metering terminal and simultaneously obtain the environmental data of the metering terminal.

[0033] It should be noted that the automatic collection of metering terminal operation data and the synchronous acquisition of the metering terminal environment data include obtaining the voltage and current of the metering terminal during operation through wireless communication, synchronously obtaining the temperature, humidity, and electromagnetic interference intensity of the metering terminal environment, and maintaining clock synchronization during the data collection process.

[0034] Furthermore, the voltage and current of the metering terminal during operation are obtained in real time through the wireless communication module, the voltage signal is detected in real time and transient fluctuations are recorded, the changes in load current are monitored and abnormal fluctuations are identified. The wireless communication module uses a WiFi module, and a high-precision sensor is used to obtain the temperature, humidity, and electromagnetic interference intensity of the environment where the metering terminal is located in real time. The synchronous acquisition of the environmental data of the metering terminal includes, by using the international standard time as the synchronization reference, the metering detection system sends a synchronization time request to the time server through the network, the system adjusts its own clock according to the timestamp returned by the server, and synchronizes the clocks of the metering terminal and the sensor device.

[0035] S2: Preprocess the metering terminal operation data and extract characteristic parameters from the operation data.

[0036] It should be noted that preprocessing the operation data of the metering terminal and extracting characteristic parameters from the operation data include eliminating jitter in the collected data through a Kalman filter algorithm, converting the data into a unified format, and extracting the voltage deviation rate and current fluctuation amplitude from the operation data.

[0037] Furthermore, the method of eliminating the jitter of the collected data through the Kalman filtering algorithm includes: the detection system uses the noise characteristics of the collected data as the parameters of the filter, the system predicts the current value at the next time point based on the historical current value of the metering terminal, and combines the process noise correction prediction. The system calculates the Kalman gain and dynamically adjusts the weights of the measured value and the predicted value. When the measured value noise is large, it relies more on the predicted value; when the predicted value is inaccurate, it relies more on the measured value. The corrected value is used as the state estimate at the current moment and passed to the next moment. The filtered data is marked as cleaned reliable data and used for subsequent feature extraction and performance analysis.

[0038] Furthermore, the collected data is firstly de-noised by the Kalman filter algorithm, data jitter is eliminated, and a smooth signal is outputted. Then, the voltage value of the collected metering terminal is converted into a relative proportion to the rated voltage of the system by voltage and current normalization, so as to eliminate the absolute value difference when comparing or analyzing between different systems. The real-time voltage and real-time current of the metering terminal are obtained by the data acquisition module, and the detection system automatically inputs the rated voltage and rated current, and the collected voltage and current values ​​are normalized. The normalized voltage and current values ​​are expressed as percentages. The voltage deviation rate and current fluctuation amplitude at each time point are calculated according to the voltage and current normalization values. The voltage deviation rate includes measuring the degree of deviation of the actual value of the voltage from the rated value. The detection system calculates the deviation rate of the normalized voltage value, saves the voltage deviation rate at each time point, and calculates the average voltage deviation rate; the current fluctuation amplitude includes representing the range of change of the current within a period of time, extracting the maximum and minimum values ​​of the normalized current within the specified time window, and calculating the current fluctuation amplitude.

[0039] S3: Perform automated testing on the metering terminal functional modules based on characteristic parameters.

[0040] It should be noted that the automated testing of the functional modules of the metering terminal according to the characteristic parameters includes automated testing of the metering module and the communication module of the metering terminal by analyzing the characteristic parameters, simulating actual grid conditions, and testing the response performance of the metering terminal.

[0041] Furthermore, testing the metering module includes inputting the rated voltage and current into the metering terminal, simulating normal working conditions, reading the terminal measurement results, and comparing them with the standard values ​​of the simulator, analyzing the voltage deviation rate and current fluctuation amplitude; simulating grid voltage fluctuations and load changes, testing the measurement stability and accuracy of the metering module under abnormal conditions, and extracting the deviation rate and fluctuation amplitude under abnormal conditions to determine whether the measurement performance of the metering module is qualified. Testing the communication module includes the system sending a fixed number of data packets to the metering terminal, counting the number of valid data packets uploaded by the terminal, calculating the packet loss rate, determining whether it meets the standard, sending a large volume of data streams to the metering terminal, measuring the completion time of data upload, calculating the upload rate, checking whether the set requirements are met, simulating intermittent signal interference, detecting the terminal's reconnection time after the signal is restored, and evaluating its communication stability. The response performance test includes simulating rapid load changes, measuring the terminal's response time from load change to stable output, judging whether it is within an acceptable range, simulating stable load operating conditions, collecting the output value of the metering terminal, calculating the steady-state error with the standard value, judging whether it meets the accuracy requirements, simulating short-term voltage drops, high voltage, and low voltage extreme grid conditions, detecting the terminal's recovery speed and accuracy under abnormal conditions, and judging whether it can work normally.

[0042] S4: Analyze automated test results and automatically evaluate metering terminal levels.

[0043] It should be noted that analyzing automated test results and automatically evaluating metering terminal grades include the automatic detection system grading metering terminals by analyzing test results and automatically generating detection reports.

[0044] Furthermore, the grading of the metering terminals includes grading the metering modules, communication modules, and response performance of the metering terminals to the power grid. When the metering terminal is graded A, the system automatically archives the detection records and includes them in the normal periodic detection plan; when the metering terminal is graded B, the system automatically marks it as "suboptimal", automatically generates optimization suggestions, and re-tests within 3 to 6 months; when the metering terminal is graded C, the system sends an alarm and marks it as "unavailable", prompting immediate deactivation or replacement.

[0045] Furthermore, the metering terminal level includes, by comparing the deviation value between the measurement value of the metering module in the metering terminal and the standard value, when the deviation value is within ±0.2%, the system judges that the metering module level is A; when the deviation value is between ±0.2% and ±0.5%, the system judges that the metering module level is B; when the deviation value exceeds ±0.5%, the system judges that the metering module level is C.

[0046] The communication modules of the metering terminal are graded by analyzing the packet loss rate. When the packet loss rate of the communication module is ≤0.1%, the system determines that the communication module is grade A; when 0.1%<packet loss rate≤1%, the system determines that the communication module is grade B; when the packet loss rate>1%, the system determines that the communication module is grade C.

[0047] The response time is used to grade the response capability of the metering terminal to the power grid. The response time includes the time required from the change of external conditions to the stabilization of the metering terminal. When the response time is ≤100ms, the system judges that the response performance level of the metering terminal is Class A. When 100ms<response time≤500ms, the system judges that the response performance level of the metering terminal is Class B. When the response time is >500ms, the system judges that the response performance level of the metering terminal is Class C.

[0048] Example 2

[0049] As an embodiment of the present invention, the present invention provides the following technical solution: a system for an automatic detection method of a metering terminal, comprising: a data acquisition module, a preprocessing module, an automatic testing module and a grade evaluation module;

[0050] The data acquisition module automatically collects the operation data of the metering terminal and simultaneously obtains the environmental data of the metering terminal;

[0051] The preprocessing module preprocesses the metering terminal operation data and extracts characteristic parameters from the operation data;

[0052] The automatic test module performs automatic testing on the metering terminal function module according to the characteristic parameters;

[0053] The grade assessment module analyzes the automated test results and automatically assesses the grade of the metering terminal.

[0054] This embodiment further provides a computing device, which is applicable to the case of the automatic detection method of the metering terminal, including:

[0055] Memory and processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the automatic detection method of the metering terminal proposed in the above embodiment.

[0056] The storage medium proposed in this embodiment and the automatic detection method for the metering terminal proposed in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0057] 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.

[0058] 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.

[0059] 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.

[0060] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. 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 automatic detection method of the metering terminal is characterized by: include: Automatically collect the operation data of the metering terminal and simultaneously obtain the environmental data of the metering terminal; Preprocess the metering terminal operation data and extract characteristic parameters from the operation data; According to the characteristic parameters, the metering terminal functional modules are automatically tested; Analyze automated test results and automatically evaluate metering terminal levels.

2. The automatic detection method of the metering terminal according to claim 1, characterized in that: The automatic collection of metering terminal operation data and synchronous acquisition of the metering terminal environment data include acquiring the voltage and current of the metering terminal during operation through wireless communication, synchronously acquiring the temperature, humidity, and electromagnetic interference intensity of the metering terminal environment, and maintaining clock synchronization during the data collection process.

3. The automatic detection method of the metering terminal according to claim 2, characterized in that: The preprocessing of the metering terminal operation data and the extraction of characteristic parameters in the operation data include eliminating the jitter of the collected data through a Kalman filter algorithm, converting the data into a unified format, and extracting the voltage deviation rate and current fluctuation amplitude in the operation data.

4. The automatic detection method of the metering terminal according to claim 3, characterized in that: The automatic testing of the functional modules of the metering terminal according to the characteristic parameters includes: automatically testing the metering module and the communication module of the metering terminal by analyzing the characteristic parameters, simulating actual grid conditions, and testing the response performance of the metering terminal.

5. The automatic detection method of the metering terminal according to claim 4, characterized in that: The analyzing of the automated test results and automatically evaluating the metering terminal grade includes: the automatic detection system classifies the metering terminals by analyzing the test results and automatically generates a detection report.

6. The automatic detection method of a metering terminal according to claim 5, characterized in that: The grading of the metering terminal includes grading the metering module, communication module, and response performance of the metering terminal to the power grid. When the metering terminal is graded A, the system automatically archives the detection record and includes it in the normal periodic detection plan; when the metering terminal is graded B, the system automatically marks it as "suboptimal", automatically generates optimization suggestions, and re-tests within 3 to 6 months; when the metering terminal is graded C, the system sends an alarm and marks it as "unavailable", prompting immediate deactivation or replacement.

7. The automatic detection method of a metering terminal according to claim 6, characterized in that: The metering terminal grade includes, by comparing the deviation between the measurement value of the metering module in the metering terminal and the standard value, when the deviation is within ±0.2%, the system determines that the metering module grade is A; when the deviation is between ±0.2% and ±0.5%, the system determines that the metering module grade is B; when the deviation exceeds ±0.5%, the system determines that the metering module grade is C; The communication module of the metering terminal is graded by analyzing the packet loss rate. When the packet loss rate of the communication module is ≤0.1%, the system determines that the communication module is graded as A; when 0.1%<packet loss rate≤1%, the system determines that the communication module is graded as B; when the packet loss rate is >1%, the system determines that the communication module is graded as C; The response time is used to grade the response capability of the metering terminal to the power grid. The response time includes the time required from the change of external conditions to the stabilization of the metering terminal. When the response time is ≤100ms, the system judges that the response performance level of the metering terminal is Class A. When 100ms<response time≤500ms, the system judges that the response performance level of the metering terminal is Class B. When the response time is >500ms, the system judges that the response performance level of the metering terminal is Class C.

8. A system using the automatic detection method of a metering terminal according to any one of claims 1 to 7, characterized in that: include: Data acquisition module, preprocessing module, automated testing module and grade assessment module; The data acquisition module automatically collects the operation data of the metering terminal and simultaneously obtains the environmental data of the metering terminal; The preprocessing module preprocesses the metering terminal operation data and extracts characteristic parameters from the operation data; The automatic test module performs automatic testing on the metering terminal function module according to the characteristic parameters; The grade assessment module analyzes the automated test results and automatically assesses the grade of the metering terminal.

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 automatic detection method for a metering terminal 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 automatic detection method for a metering terminal according to any one of claims 1 to 7 are implemented.

Images