An ammeter terminal temperature anomaly identification method, system, device and storage medium

Abstract

The application discloses a kind of electric meter terminal temperature anomaly identification method, system, equipment and storage medium, it is related to intelligent electric energy meter monitoring and abnormal detection technical field, including the current of the fire line loop and zero line loop of intelligent electric energy meter is sampled, the deviation rate of fire line current compared with zero line current is calculated;Based on deviation rate and using manganese copper shunt resistance value characteristic measurement error variation trend, the terminal temperature of electric energy meter is estimated;When electric energy meter terminal temperature estimated value exceeds preset threshold, it is judged that fire line terminal temperature is abnormal, and alarm event is recorded.The method disclosed in the application realizes the real-time acquisition of current difference characteristics, provides a reliable data basis for subsequent terminal temperature estimation, realizes the method of indirectly reflecting terminal temperature rise through electrical characteristics, ensures that alarm can be triggered when temperature anomaly occurs and a complete traceability chain is formed, thereby improving the controllability of electric energy meter operation safety and the integrity of post-analysis.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent electric energy meter monitoring and abnormality detection, in particular to an electric meter terminal temperature abnormality identification method, system, device and storage medium. BACKGROUND

[0002] In the power system, the intelligent electric energy meter is used for measuring and recording electric energy and is an extremely important device. The wiring terminal of the intelligent electric energy meter may overheat due to overcurrent, excessive contact resistance and other factors during long-term operation, which may cause the electric energy meter to malfunction and even cause a fire accident. According to relevant statistics, a considerable proportion of safety accidents caused by electric energy meter failure are caused by excessively high terminal temperature.

[0003] At the same time, with the development of smart grid and the improvement of national electricity consumption, the current specification of the intelligent electric energy meter is also continuously improved. The abnormal increase in terminal temperature caused by long-time high-current operation is also a potential safety hazard. Therefore, temperature monitoring of the terminal block of the intelligent electric energy meter can timely find potential hazards and reduce the possibility of accidents, thereby improving the stability and safety of power supply.

[0004] The existing method for identifying terminal temperature abnormality mainly adopts a direct measurement method. A temperature detection device or a temperature detection element is embedded in the wiring terminal, and an external data processing unit is connected. The real-time temperature of the terminal is detected by the temperature sensor, and the detection result is transmitted to the data processing unit through an analog-to-digital converter after detection, so that the data processing unit can calculate the collected data to obtain the real-time temperature of the terminal. SUMMARY

[0005] In view of the above problems, the present application is proposed.

[0006] Therefore, the technical problem solved by the present application is that the existing terminal temperature measurement method has three main shortcomings. The direct measurement method has high requirements for the installation position, precision and stability of the temperature sensor. If the installation position is not proper, the real temperature of the terminal may not be accurately reflected, resulting in failure to timely identify the terminal temperature abnormality. Some temperature sensors may have reduced precision or be damaged after long-term use. The temperature sensor embedded in the wiring terminal increases the production cost of the electric energy meter. In addition, due to the high precision requirement for the installation position, the production process cost is also increased.

[0007] To solve the above technical problems, the application provides the following technical scheme: a meter terminal temperature anomaly identification method, comprising sampling the current of the firewire loop and the zero line loop of the smart electric energy meter, calculating the deviation rate of the firewire current compared with the zero line current; based on the deviation rate and using the manganese copper shunt resistor resistance characteristic error change trend, the electric energy meter terminal temperature is estimated; when the electric energy meter terminal temperature estimated value exceeds the preset threshold value, it is determined that the firewire terminal temperature is abnormal, and the alarm event is recorded, the electric energy meter terminal temperature estimation includes based on the deviation rate of the firewire current compared with the zero line current, combining the ambient temperature and the ambient humidity, the temperature of the electric energy meter terminal is predicted, the prediction process includes, the function relationship of the firewire current, the running time and the current deviation rate is established, the temperature estimation of the electric energy meter terminal is characterized, the ambient temperature is taken as a correction factor, and the temperature prediction value of the electric energy meter terminal is formed.

[0008] As a preferred scheme of the meter terminal temperature anomaly identification method, wherein: the sampling of the current of the firewire loop and the zero line loop of the smart electric energy meter comprises sampling the current of the firewire loop through the manganese copper shunt resistor and sampling the current of the zero line loop through the current transformer.

[0009] As a preferred scheme of the meter terminal temperature anomaly identification method, wherein: the calculation of the deviation rate of the firewire current compared with the zero line current comprises taking the zero line current as the current reference, and calculating the deviation rate of the firewire current compared with the zero line current.

[0010] ,

[0011] Wherein, the deviation rate of the firewire current compared with the zero line current, the firewire current, the zero line current.

[0012] As a preferred scheme of the meter terminal temperature anomaly identification method, wherein: the manganese copper shunt resistor resistance characteristic comprises the characteristic that the firewire terminal temperature rise is affected by the firewire current and the terminal contact resistance, the relationship between the temperature rise change amount and the firewire current, the manganese copper shunt resistor resistance and the contact resistance is established, and is expressed as:

[0013] ,

[0014] Wherein, the temperature rise change amount, the manganese copper resistance rate normal temperature coefficient, the weight coefficient, the manganese copper shunt resistor resistance, the terminal contact resistance, the firewire current running time.

[0015] As a preferred embodiment of the method for identifying abnormal electricity meter terminal temperatures according to the present invention, the method for estimating the electricity meter terminal temperature includes, based on the deviation rate of the live wire current compared to the neutral wire current, and in conjunction with the ambient temperature, estimating the electricity meter terminal temperature as follows:

[0016] ,

[0017] in, Predicted temperature values ​​for the electricity meter terminals. This is based on a functional relationship between live wire current, running time, and deviation rate. The ambient temperature.

[0018] In a preferred embodiment of the method for identifying abnormal temperature of electricity meter terminals according to the present invention, the determination of abnormal temperature of the live wire terminal includes comparing the estimated temperature of the electricity meter terminal with a preset electricity meter terminal temperature threshold. When the estimated temperature of the electricity meter terminal is greater than the preset electricity meter terminal temperature threshold, the live wire terminal temperature is determined to be abnormal; when the estimated temperature of the electricity meter terminal is less than or equal to the preset electricity meter terminal temperature threshold, the live wire terminal temperature is determined to be normal.

[0019] As a preferred embodiment of the meter terminal temperature anomaly identification method described in this invention, the recording of alarm events includes generating an alarm event record when it is determined that the temperature of the live wire terminal is abnormal, and writing the anomaly determination time, the corresponding terminal temperature estimate, the live wire current, the neutral wire current, the running time, the ambient temperature and the current deviation rate into the alarm event record, while indexing and identifying the alarm event record.

[0020] Another objective of this invention is to provide a meter terminal temperature anomaly identification system. This system uses a current sampling module to collect real-time data on the current in the live and neutral wires to obtain current difference characteristics. Then, a temperature prediction module indirectly calculates the meter terminal temperature based on the functional relationship between current deviation rate and temperature rise, combined with the resistance characteristics of the manganese-copper shunt. Finally, an anomaly alarm module triggers an alarm when the terminal temperature exceeds a preset threshold based on the temperature prediction result and automatically records the alarm event. This solves the problems of current meter temperature monitoring relying on direct temperature measurement methods and lacking real-time performance and accuracy.

[0021] As a preferred scheme of the electric meter terminal temperature anomaly identification system, the current sampling module is used to acquire the difference characteristics of the live wire and zero wire current in real time, and provide basic data for subsequent temperature estimation; the temperature estimation module is used to realize indirect calculation of the terminal temperature by establishing a functional relationship between the current deviation rate and temperature rise, and combining the resistance value characteristics of the manganese copper shunt; and the anomaly alarm module is used to identify the anomaly according to the temperature estimation result, and trigger the alarm and event storage when the anomaly occurs, so as to guarantee the monitoring and tracing functions.

[0022] Still another object of the present application is to provide an electric meter terminal temperature anomaly identification device, which comprises a memory and a processor, the memory stores a computer program, and the processor executes the computer program to realize the steps of the electric meter terminal temperature anomaly identification method.

[0023] Still another object of the present application is to provide an electric meter terminal temperature anomaly identification storage medium, which stores a computer program, and the computer program is executed by a processor to realize the steps of the electric meter terminal temperature anomaly identification method.

[0024] The electric meter terminal temperature anomaly identification method provided by the present application realizes real-time acquisition of the current difference characteristics by sampling the currents of the live wire circuit and zero wire circuit of the smart electric energy meter and calculating the live wire current deviation rate compared with the zero wire current, provides a reliable data basis for subsequent terminal temperature estimation, thereby avoiding the time delay problem caused by simply relying on single-point temperature measurement, realizes the method of indirectly reflecting the terminal temperature rise through electrical characteristics based on the deviation rate and the error change trend of the manganese copper shunt resistance value characteristics, overcomes the limitations of the existing direct temperature measurement method in terms of complex point distribution and sensor failure, guarantees the continuity and feasibility of temperature estimation, determines that the live wire terminal temperature is abnormal when the electric meter terminal temperature estimation value exceeds the preset threshold, realizes timely identification of the abnormal state and event trace, ensures that the alarm can be triggered and a complete tracing chain is formed when the temperature is abnormal, and thereby improves the controllability of the electric energy meter operation safety and the integrity of the post-event analysis. BRIEF DESCRIPTION OF DRAWINGS

[0025] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0026] Figure 1A whole flow chart of an electric meter terminal temperature abnormality recognition method provided for the embodiment 1 of the present application.

[0027] Figure 2 A temperature- electric energy meter firewire current error change curve chart of an electric meter terminal temperature abnormality recognition method provided for the embodiment 1 of the present application.

[0028] Figure 3 A temperature- electric energy meter firewire current error mean value change curve chart of an electric meter terminal temperature abnormality recognition method provided for the embodiment 1 of the present application.

[0029] Figure 4 A temperature- electric energy meter firewire current error mean value change curve fitting chart of an electric meter terminal temperature abnormality recognition method provided for the embodiment 1 of the present application. DETAILED DESCRIPTION

[0030] In order to make the above objectives, characteristics and advantages of the present application more apparent, obvious and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor should belong to the scope of protection of the present application.

[0031] Embodiment 1, refer to Figures 1-4 For an embodiment of the present application, an electric meter terminal temperature abnormality recognition method is provided, comprising:

[0032] S1: sampling the currents of the firewire circuit and the zero line circuit of the smart electric energy meter, and calculating the deviation rate of the firewire current compared with the zero line current.

[0033] Further, as shown in Figure 1 , sampling the currents of the firewire circuit and the zero line circuit of the smart electric energy meter comprises sampling the firewire circuit current through a manganese-copper shunt and sampling the zero line circuit current through a current transformer.

[0034] It should be noted that when sampling the firewire circuit current through the manganese-copper shunt, the firewire circuit is connected in series with the manganese-copper shunt, and the manganese-copper shunt is characterized by extremely small resistance and stable temperature variation characteristic, so that the current flowing through the firewire circuit is converted into a voltage signal proportional to it, and then the digital sampling value of the firewire circuit current is obtained through an analog-digital conversion circuit. When sampling the zero line circuit current through the current transformer, the zero line circuit passes through the core of the current transformer, and the current transformer outputs a current signal proportional to the zero line current, which is converted into a voltage signal through a conditioning circuit, and then the digital sampling value of the zero line circuit current is obtained through an analog-digital conversion.

[0035] It should be noted that by using the manganese copper shunt to sample the live line current, low impedance high precision collection under high current conditions is realized, and current signal distortion caused by heating of the sampling element is avoided, thereby improving the measurement accuracy. By sampling the zero line current through the current transformer, safe and isolated sampling of the zero line current is realized, potential safety hazards caused by direct introduction of the zero line into the detection circuit are avoided, and the safety and reliability of the system are improved. Through the differential sampling path and digital conversion of the live line and the zero line, a complementary detection mechanism is formed, providing more accurate data support for subsequent current deviation rate calculation and temperature estimation, thereby enhancing the sensitivity and robustness of abnormal detection.

[0036] Further, calculating the deviation rate of the live line current compared to the zero line current includes, taking the zero line current as the current reference, calculating the deviation rate of the live line current compared to the zero line current is represented as:

[0037] ,

[0038] Wherein, is the deviation rate of the live line current compared to the zero line current, is the live line current, is the zero line current.

[0039] It should be noted that the live line current and the zero line current are equal when the intelligent single-phase meter single-phase circuit is working normally, the live line current measurement circuit of the intelligent single-phase meter uses manganese copper sampling, and the zero line circuit uses a current transformer for sampling. Since the current transformer is almost not affected by temperature, the zero line current measurement value hardly changes, while the live line circuit, due to the negative temperature coefficient of the manganese copper resistor, the measurement value of the live line current changes when the temperature rises. The change curve can be referred to the temperature-live line current error change curve described in the foregoing. Therefore, taking the zero line current as the current reference, the deviation of the live line current compared to the zero line current is investigated, and the ambient temperature and the current live line current value are simultaneously obtained. When the temperature rises, the resistance of the manganese copper shunt decreases due to the negative temperature coefficient, resulting in a smaller measurement value of the live line current, thereby causing a significant deviation between the live line current and the zero line current.

[0040] It should be noted that by taking the zero line current as the reference, the deviation rate calculation formula of the live line current compared to the zero line current is established, which can accurately reflect the live line current measurement error caused by temperature change without directly arranging a temperature sensor, thereby realizing indirect determination of the terminal temperature anomaly, reducing the sensor installation cost and structural complexity, introducing the characteristic that the resistance of the manganese copper shunt decreases as the temperature rises, and using the measurement deviation change trend of the live line current at different temperatures to establish a functional relationship between the current and the temperature, the terminal temperature estimation value can be dynamically calculated, and the sensitivity and accuracy of the live line terminal temperature anomaly identification are improved.

[0041] S2: Estimate the terminal temperature of the electric energy meter based on the deviation rate and the error change trend of the manganese-copper shunt resistance value characteristics.

[0042] Furthermore, the manganese-copper shunt resistance value characteristics include, for the characteristics that the hot line terminal temperature rise is affected by the hot line current and the terminal contact resistance, establishing the relationship between the temperature rise change and the hot line current, the manganese-copper shunt resistance and the contact resistance, which is represented as:

[0043] ,

[0044] Among them, is the temperature rise change, is the manganese-copper resistivity normal temperature coefficient, is the weight coefficient, is the manganese-copper shunt resistance, is the terminal contact resistance, is the hot line current running time.

[0045] It should be noted that the related data of the hot line current, the manganese-copper shunt resistance, the terminal contact resistance and the hot line current running time is based on the characteristics that the hot line terminal temperature rise is affected by the hot line current, the manganese-copper shunt resistance and the terminal contact resistance, the relationship between the temperature rise change and the hot line current, the manganese-copper shunt resistance and the contact resistance is established, and the temperature rise change is calculated. When the hot line terminal contact is poor or there is an abnormally large current passing through, the Joule heat effect causes the terminal temperature to rise, and the heat is conducted to the manganese-copper sampling resistance through the metal support. The manganese-copper resistivity normal temperature coefficient is very small, about ‌( ), resulting in its resistance value being basically unchanged in the normal temperature range. In the high temperature zone, it shows a negative temperature coefficient characteristic, and the resistance decreases significantly with the increase of temperature (negative temperature coefficient). According to Figure 1 the sampling process, the sampling voltage will decrease after the manganese-copper resistance value decreases, and the hot line current calculated by the metering chip will be smaller compared with the standard meter, and the measurement error of the hot line current of the electric energy meter and the standard meter will show a negative deviation trend, as shown in Figure 2 and Figure 3 , after zeroing the normal temperature (23℃) and the error basic value, the AI data analysis is referenced to fit the data, and the function curve of Figure 4 is obtained. From the fitting result, we can get:

[0046] ,

[0047] Among them, , , , for fitting coefficients, weight coefficients corresponding to the fourth, third, second and first order terms respectively, used to reflect the nonlinear relationship between temperature and current error through polynomial fitting, for the terminal temperature of the electric energy meter, for the normal temperature of 23℃.

[0048] It should also be noted that by multiplying the square of the live line current with the copper-plated shunt resistor and the terminal contact resistance respectively, and combining the running time of the current and introducing different weight coefficients for weighting, the quantitative expression of the temperature rise change is obtained. It reflects the actual influence of the current thermal effect on the terminal temperature rise. The calculation method of the current error change value is to establish the nonlinear relationship between the terminal temperature and the current error, and to use the polynomial fitting method to reflect the law of the change of the current error with temperature by taking the difference between the terminal temperature and the normal temperature as the input variable, and by using the weighted combination of the fourth, third, second and first order terms to realize the correction and compensation of the current deviation.

[0049] Further, the estimation of the terminal temperature of the electric energy meter includes, based on the deviation rate of the live line current compared to the zero line current, and combining the ambient temperature and the ambient temperature, the estimation of the terminal temperature of the electric energy meter is expressed as:

[0050] ,

[0051] wherein, for the estimated value of the temperature of the electric energy meter, for the function relationship based on the live line current, the running time, and the deviation rate, for the ambient temperature.

[0052] It should be noted that based on the live line current, the running time, and the deviation rate of the live line current compared to the zero line current, and combining the real-time data of the ambient temperature as input parameters, the collected data is input into the established function relationship, wherein the live line current, the running time and the deviation rate are calculated by a function to obtain the quantity related to the terminal temperature rise, and the ambient temperature is calculated by another function to obtain the quantity related to the terminal temperature rise. According to the weight coefficient, the two calculation results are weighted and superimposed to obtain the estimated value of the terminal temperature. Finally, the output terminal temperature estimate is used as the basis for determining the state of the live terminal temperature. After the calculation is completed, the terminal temperature estimate will be updated in real time and compared with the threshold value. When the estimate gradually approaches or exceeds the threshold value, the abnormal judgment logic is triggered, and all the original data of the current sampling period and the temperature estimate are stored together, providing a basis for subsequent alarm and record.

[0053] It should be noted that the terminal temperature rise related quantity calculated by the function relationship of the live line current, the running time and the deviation rate can effectively reflect the heating process caused by the current change and the contact resistance, realize the indirect capture of the terminal temperature, and make the estimation result dynamically adapt to the external temperature fluctuation by combining the correction factor of the environment temperature, so as to ensure the accuracy and stability of the temperature determination.

[0054] S3: When the terminal temperature estimation value of the electric energy meter exceeds the preset threshold value, it is determined that the live line terminal temperature is abnormal, and an alarm event is recorded.

[0055] Further, determining that the live line terminal temperature is abnormal includes comparing the temperature estimation value of the electric energy meter terminal with the preset electric energy meter terminal temperature threshold value, and when the temperature estimation value of the electric energy meter terminal is greater than the preset electric energy meter terminal temperature threshold value, it is determined that the live line terminal temperature is abnormal; and when the temperature estimation value of the electric energy meter terminal is less than or equal to the preset electric energy meter terminal temperature threshold value, it is determined that the live line terminal temperature is normal.

[0056] It should be noted that the temperature estimation value of the electric energy meter terminal is compared with the preset electric energy meter terminal temperature threshold value, if the temperature estimation value is greater than the preset electric energy meter terminal temperature threshold value, it is determined that the live line terminal is in a temperature abnormal state, and an alarm logic is triggered; if the temperature estimation value is less than or equal to the preset electric energy meter terminal temperature threshold value, it is determined that the live line terminal is in a normal state, and one preferred scheme of the preset electric energy meter terminal temperature threshold value is 85℃. When the temperature of the electric energy meter terminal exceeds 85℃, the copper conductor and the tinned contact will have a significant increase in contact resistance, which is easy to cause continuous heating and induce safety risks. The existing industry standard sets 85℃ as the upper limit temperature for long-term safe operation of electric energy metering device terminals. Setting 85℃ as the preferred threshold value not only meets the standard requirements, but also ensures the long-term stable operation of the electric energy meter while realizing the early warning of potential temperature rise risks, thereby effectively improving the reliability and practicality of temperature abnormality identification.

[0057] It should be noted that by comparing the temperature estimation value with the preferred threshold value, when the temperature exceeds 85℃, the alarm mechanism can be triggered in advance, and the potential risks can be recorded and prompted in time, so as to realize the pre-intervention of abnormal risks without affecting the normal operation of the electric energy meter.

[0058] Further, recording the alarm event includes generating an alarm event record when it is determined that the live line terminal temperature is abnormal, and writing the abnormality determination time, the corresponding terminal temperature estimation value, the live line current, the zero line current, the running time, the environment temperature and the current deviation rate in the alarm event record, and indexing the alarm event record.

[0059] It should be noted that when the live terminal temperature is determined to be abnormal, a new record entry will be created, in which the abnormal determination time is automatically written, and the terminal temperature estimate, live current, zero current, running time, ambient temperature, and current deviation rate are recorded synchronously. The above parameters are stored in the alarm event database together with the timestamp for subsequent tracing and analysis. A unique index identifier is generated for each alarm event record, which is formed by combining the timestamp, event number, and device number, thereby ensuring that the alarm event can be quickly searched and located in multiple records. The alarm event record also triggers a real-time update mechanism and is displayed in a visual form on the monitoring interface or management platform, allowing operation and maintenance personnel to immediately view the time of abnormal occurrence and related operating data. When needed, the alarm event record can be exported as a report, serving as an important basis for electric energy meter operation safety assessment and maintenance decision-making.

[0060] It should also be noted that by generating a complete alarm event record after determining the abnormality of the live terminal temperature, the abnormal determination time, terminal temperature estimate, live current, zero current, running time, ambient temperature, and current deviation rate are written, and a unique index identifier is further generated for each alarm event record, enabling traceability, quick positioning, and cross-record searching of events. Combined with the real-time update mechanism and visual display function, operation and maintenance personnel can obtain specific data and background information about abnormal occurrences in a timely manner, improving the systematicness and controllability of event management and providing reliable data support for subsequent operation and maintenance scheduling and safety decision-making.

[0061] Embodiment 2, as an embodiment of the present application, provides an electric meter terminal temperature abnormality identification system, comprising a current sampling module, a temperature estimation module, and an abnormal alarm module.

[0062] The current sampling module is used to obtain the difference characteristics of live and zero currents in real time, providing basic data for subsequent temperature estimation.

[0063] The temperature estimation module is used to indirectly calculate the terminal temperature by establishing a functional relationship between the current deviation rate and the temperature rise, combined with the resistance characteristics of the manganese-copper shunt.

[0064] The abnormal alarm module is used to identify abnormalities based on the temperature estimation results and trigger alarms and event storage when abnormalities occur, ensuring monitoring and tracing functions.

[0065] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the part of the technical solutions that essentially contribute to the prior art or the part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0066] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered a list of executable instructions for implementing logic functions, and can be specifically embodied in any computer-readable medium for use by an instruction execution system, apparatus, or device, such as a computer-based system, a system including a processor, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions, or in conjunction with these instructions execution systems, apparatuses, or devices. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport programs for use by an instruction execution system, apparatus, or device, or in conjunction with these instruction execution systems, apparatuses, or devices.

[0067] More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection having one or more wires (electrical devices), a portable computer diskette (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CD ROM). In addition, the computer readable medium can even be paper or other suitable medium on which the program can be printed, as the program can be electronically obtained, for example, by optical scanning of the paper or other medium, followed by editing, interpreting, or otherwise processing, if necessary, in other suitable ways to be electronically obtained, and then stored in the computer memory.

[0068] It should be understood that portions of the present application can be implemented in hardware, software, firmware, or combinations thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, implementation can be with any or a combination of the following technologies, which are all well known in the art: a discrete logic circuit having logic gates for implementing logic functions upon an application of data signals, an application specific integrated circuit having appropriate combinational logic gates, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0069] It should be noted that the above examples are only used to illustrate the technical solutions of the present application but not limit the present application. Although the present application is described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced equivalently without departing from the spirit and scope of the present application, and all of them should be covered in the scope of the claims of the present application.

Claims

1. An electric meter terminal temperature abnormality recognition method, characterized by, The method comprises the following steps: sampling the current of the live line and the zero line of the smart electric energy meter, calculating the deviation rate of the live line current compared with the zero line current; estimating the terminal temperature of the electric energy meter based on the deviation rate and the error change trend of the manganese-copper shunt resistance value characteristics; when the estimated value of the terminal temperature of the electric energy meter exceeds the preset threshold, determining that the live terminal temperature is abnormal, and recording the alarm event; the estimation of the terminal temperature of the electric energy meter comprises predicting the temperature of the terminal of the electric energy meter based on the deviation rate of the live line current compared with the zero line current, combining the ambient temperature and the ambient humidity, and the prediction process comprises establishing a functional relationship between the live line current, the running time and the current deviation rate to represent the temperature estimation value of the terminal of the electric energy meter, and taking the ambient temperature as a correction factor to comprehensively form the temperature prediction value of the terminal of the electric energy meter; the calculation of the deviation rate of the live line current compared with the zero line current comprises taking the zero line current as the current reference to calculate the deviation rate of the live line current compared with the zero line current, which is represented as: ， wherein, is a deviation rate of the live current compared to the neutral current, is the live current, is the neutral current; the estimation of the terminal temperature of the electric energy meter comprises estimating the terminal temperature of the electric energy meter based on the deviation rate of the live line current compared with the zero line current, combining the ambient temperature and the ambient humidity, which is represented as: ， wherein, is a temperature estimate for the terminals of the electric energy meter, is a function relationship based on the line current, the operating time, and the deviation rate, is the ambient temperature.

2. The meter terminal temperature anomaly identification method of claim 1, wherein: the sampling of the current of the live line and the zero line of the smart electric energy meter comprises sampling the live line current through the manganese-copper shunt and sampling the zero line current through the current transformer.

3. The method of claim 2, wherein: the manganese-copper shunt resistance value characteristics comprise the characteristics of the temperature rise of the live terminal being affected by the live line current and the terminal contact resistance, and the relationship between the temperature rise change amount and the live line current, the manganese-copper shunt resistance and the contact resistance is established, which is represented as: ， wherein, is the temperature rise change, is the manganese-copper resistivity normal temperature coefficient, is the weight coefficient, is the manganese-copper shunt resistance, is the terminal contact resistance, is the hot wire current run time.

4. The meter terminal temperature anomaly identification method of claim 3, wherein: the determination of the live terminal temperature being abnormal comprises comparing the estimated value of the terminal temperature of the electric energy meter with the preset electric energy meter terminal temperature threshold, and when the estimated value of the terminal temperature of the electric energy meter is greater than the preset electric energy meter terminal temperature threshold, determining that the live terminal temperature is abnormal; when the estimated value of the terminal temperature of the electric energy meter is less than or equal to the preset electric energy meter terminal temperature threshold, determining that the live terminal temperature is normal.

5. The abnormal terminal temperature recognition method of the electric meter according to any one of claims 1, 2, 3, or 4, characterized by: the recording of the alarm event comprises generating an alarm event record when it is determined that the live terminal temperature is abnormal, and writing the abnormal determination time, the corresponding terminal temperature estimation value, the live line current, the zero line current, the running time, the ambient temperature and the current deviation rate in the alarm event record, and indexing the alarm event record.

6. An electric meter terminal temperature anomaly recognition system employing the electric meter terminal temperature anomaly recognition method according to any one of claims 1 to 5, characterized by: The method comprises the following steps: the current sampling module is used to obtain the difference characteristics of the live line and the zero line current in real time, and provide basic data for subsequent temperature estimation; the temperature estimation module is used to indirectly calculate the terminal temperature by establishing a functional relationship between the current deviation rate and the temperature rise, and combining the manganese-copper shunt resistance value characteristics; the abnormal alarm module is used to identify the abnormality according to the temperature estimation result, and trigger the alarm and the event storage when the abnormality occurs, so as to guarantee the monitoring and tracing functions. 7.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-6 when the computer program is executed by the processor. The processor executes the computer program to realize the steps of the electric meter terminal temperature abnormality identification method in any one of claims 1-5.

8. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program, when executed by a processor, implements the steps of the electric meter terminal temperature abnormality recognition method of any one of claims 1-5.

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