Safety monitoring method of electric energy meter

Abstract

The present invention discloses a method for safety monitoring of electric energy meters, which belongs to the field of electric energy meters. The method comprises: the electric energy meter obtains temperature data of each first-class area in the electric energy meter through the corresponding first-class temperature sensor deployed in each first-class area, and executes a high temperature processing strategy when abnormally high temperature is detected in each first-class area; the electric energy meter determines the target position where abnormally high temperature occurs in the second-class area through temperature data obtained by multiple second-class temperature sensors deployed on the heat dissipation path of the second-class area. The method can monitor abnormally high temperature data of more locations using fewer temperature sensors, improve more comprehensive monitoring of the operating status of the electric energy meter, and ensure that the electric energy meter is in normal operating state.

Description

Technical Field

[0001] The invention relates to the field of electric energy meters, and in particular to a method for safety monitoring of electric energy meters. Background Art

[0002] In order to ensure the safety of the electric energy meter, the electric energy meter should monitor the operating parameters of the electric energy meter during operation to ensure that the electric energy meter is in normal operation. For example, Patent Document 1 discloses a safety monitoring method for an electric energy meter, which monitors the internal temperature of the electric energy meter and calculates the temperature rise and temperature drastic change at the current moment based on the internal temperature at each moment. After that, based on the internal temperature, temperature rise and / or temperature drastic change, the change trend of the internal temperature of the electric energy meter is predicted, and then the working state of the electric energy meter is adjusted. In this way, advance prediction can be made based on the internal temperature, temperature rise and / or temperature drastic change of the electric energy meter to avoid the problem of electric energy meter failure caused by the drastic change of the internal temperature of the electric energy meter, and realize the safety monitoring of the electric energy meter.

[0003] The temperature monitoring method in the above scheme is only applicable to monitoring specific locations in the electric energy meter, such as deploying a temperature sensor at the terminal, and then judging whether the temperature of the terminal is abnormally high by the temperature data monitored by the temperature sensor. If the above scheme is adopted, if you want to monitor abnormal high temperature data at more locations in the electric energy meter, you need to deploy temperature sensors at each location, which causes the microcontroller of the electric energy meter to allocate a large amount of I / O bus resources to process temperature data.

[0004] Patent document 1, patent name, a safety monitoring method, device and electric energy meter for an electric energy meter; publication number, CN116299145A; publication date, 2023-06-23. Summary of the invention

[0005] The purpose of the present invention is to solve at least one of the technical problems existing in the prior art and to provide a method for safely monitoring an electric energy meter, which can monitor abnormal high temperature data at more locations using fewer temperature sensors.

[0006] In order to achieve the above-mentioned object of the invention, the present invention provides the following technical solutions:

[0007] A method for safety monitoring of an electric energy meter, the method comprising:

[0008] The electric energy meter obtains temperature data of each first-class area in the electric energy meter through the corresponding first-class temperature sensor deployed in each first-class area, and executes a high-temperature processing strategy when abnormally high temperature is detected in each first-class area;

[0009] The electric energy meter determines the target location where abnormally high temperature occurs in the second type area through temperature data obtained by multiple second type temperature sensors deployed on the heat dissipation path of the second type area; wherein the second type area is an area on the circuit board of the electric energy meter that is different from the first type area, and the target location is the location where abnormally high temperature occurs in the second type area.

[0010] As a further improvement, the electric energy meter determines the target location where abnormally high temperature occurs in the second type of area through temperature data obtained by multiple second type of temperature sensors deployed on the heat dissipation path of the second type of area, specifically including:

[0011] When a temperature value measured by a second-type temperature sensor among the plurality of second-type temperature sensors is not less than an abnormally high temperature value bound to the second-type temperature sensor, the electric energy meter generates an abnormally high temperature trigger signal;

[0012] When the electric energy meter detects an abnormally high temperature trigger signal, it will count down the abnormal trigger according to the preset time;

[0013] When the countdown for the abnormal trigger ends, if the temperature value measured by the second-type temperature sensor is still not less than the abnormally high temperature value bound to the second-type temperature sensor, the electric energy meter determines that an abnormally high temperature event occurs in the second-type area;

[0014] When an abnormally high temperature event occurs in the second type of area, the electric energy meter encapsulates the temperature values ​​currently measured by all the second type of temperature sensors into an abnormally high temperature data and reports the abnormally high temperature data to the main station, so that the main station inputs the abnormally high temperature data into the preset algorithm to determine the target location where the abnormally high temperature occurs in the second type of area.

[0015] As a further improvement, when the end of the abnormally high temperature event is detected, the duration of the corresponding abnormally high temperature event is recorded and reported.

[0016] As a further improvement, the method further includes the step of updating the preset abnormally high temperature value bound to each second-type temperature sensor in real time:

[0017] When the electric energy meter detects an abnormally high temperature event, the packaged abnormally high temperature data is added to the cache set I; each packaged abnormally high temperature data is used as an element in the cache set I;

[0018] When the electric energy meter detects that the abnormally high temperature event ends, the corresponding abnormally high temperature data is deleted from the cache set I;

[0019] When the electric energy meter detects that the cache set I has changed, the abnormal high temperature value bound to each second-type temperature sensor is updated based on the following formula 1: :

[0020] Formula 1: ;

[0021] in, is the normal operating temperature value corresponding to the second type of temperature sensor obtained through experimental testing, is the abnormal temperature rise value corresponding to the second type of temperature sensor obtained through experimental testing, is the corrected temperature rise value of the element with index i in the cache set I corresponding to the second-type temperature sensor.

[0022] As a further improvement, the following formula is used to determine :

[0023] Formula 2: ;

[0024] in, It is the temperature value measured by the second type of temperature sensor when a high temperature abnormal event occurs and recorded in the element with index i in the cache set I.

[0025] As a further improvement, the heat dissipation path includes a heat dissipation metal sheet arranged on the bottom surface of the circuit board, and the shape of the heat dissipation metal sheet is consistent with the circuit board. The method also includes:

[0026] Dividing the second type of area on the circuit board into a plurality of small areas, each of which is divided into a plurality of positions;

[0027] Dividing the heat dissipation metal sheet into small areas and multiple positions in a one-to-one correspondence;

[0028] A second-type temperature sensor is deployed at the installation point of each small area of ​​the heat dissipation metal sheet; wherein, along the plane of the heat dissipation metal sheet, the second-type temperature sensor closest to each position in each small area is the second-type temperature sensor deployed at the installation point of the corresponding small area;

[0029] For each small area, each position on the circuit board belonging to the corresponding small area is set to reach the corresponding abnormally high temperature and the temperature value measured by the second type temperature sensor deployed in the corresponding small area is obtained, and the lowest temperature value is taken as the abnormally high temperature alarm temperature T' of the second type temperature sensor deployed in the corresponding small area;

[0030] For each small area, each position on the circuit board belonging to the corresponding small area is in a normal working state and the temperature values ​​measured by the second type temperature sensor deployed in the corresponding small area are obtained multiple times, and the average of the temperature values ​​is taken as the normal working temperature value of the second type temperature sensor deployed in the corresponding small area. ;

[0031] Through formula three =T'- Determine the abnormal temperature rise value corresponding to the second type of temperature sensor .

[0032] As a further improvement, the preset algorithm is a neural network algorithm, and the master station inputs the abnormally high temperature data into the preset algorithm to determine the target location where the abnormally high temperature appears in the second type area, specifically including:

[0033] Inputting the abnormally high temperature data into a neural network model; wherein the neural network model is trained using multiple sets of training data, each set of training data in the multiple sets of training data includes abnormally high temperature data when an abnormally high temperature event occurs and a label for identifying a target location where the abnormally high temperature event occurs;

[0034] The output information of the neural network model is obtained; wherein the output information includes the target location where the abnormal high temperature event corresponding to the abnormal high temperature data occurs.

[0035] As a further improvement, the training data is obtained by the following steps:

[0036] When the predetermined position on the circuit board reaches the corresponding abnormally high temperature, and the temperature value measured by the second-type temperature sensor in the small area at the position is not less than the abnormally high temperature value bound to the second-type temperature sensor for a duration of the preset time, the temperature values ​​currently measured by all the second-type temperature sensors are obtained as abnormally high temperature data when an abnormally high temperature event occurs in a set of training data, and the independent hot encoding corresponding to the predetermined position is used as a label for identifying the target position where the abnormally high temperature event occurs in the set of training data;

[0037] For each position in different small areas, the above steps are performed multiple times to obtain multiple sets of training data.

[0038] As a further improvement, the heat dissipation path includes a heat dissipation metal sheet arranged on the bottom surface of the circuit board, and the shape of the heat dissipation metal sheet is consistent with that of the circuit board.

[0039] As a further improvement, the heat dissipation metal sheet is divided into a first heat dissipation body and a second heat dissipation body, the first heat dissipation body contacts the first type of area, the second heat dissipation body contacts the second type of area, and the first heat dissipation body and the second heat dissipation body are fixedly connected by a heat insulation material.

[0040] Beneficial effect: A method for safety monitoring of electric energy meters provided in the present application, in order to monitor abnormal high temperatures at various locations in the second-class area of ​​the electric energy meter circuit board, does not need to deploy temperature sensors at each location in the second-class area, but only needs to deploy a small number of temperature sensors on the heat dissipation path of the second-class area (the number of second-class temperature sensors can be less than the number of target locations that need to be detected), and utilizes the characteristic that the heat dissipation path of the second-class area has uniform thermal conductivity, so that the heat of the target location with abnormal high temperature in the second-class area can be conducted to multiple second-class temperature sensors deployed on the heat dissipation path of the second-class area, and the target location with abnormal high temperature in the second-class area is determined by the temperature data jointly monitored by multiple second-class temperature sensors and a specific algorithm. This method can monitor abnormal high temperature data at more locations using fewer temperature sensors, so there is no need for the electric energy meter's microcontroller to allocate a large amount of I / O bus resources for processing temperature data, and also improves more comprehensive monitoring of the operating status of the electric energy meter during operation.

[0041] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The present invention is further described below in conjunction with the accompanying drawings and embodiments;

[0043] Figure 1 A schematic diagram of the appearance structure of an electric energy meter in one embodiment;

[0044] Figure 2 for Figure 1 sectional view of

[0045] Figure 3 for Figure 2 Enlarged view of point A in the middle;

[0046] Figure 4 is a schematic diagram of the structure of a metal heat sink in an embodiment;

[0047] Figure 5 A schematic diagram of circuit board area division in one embodiment;

[0048] Figure 6 A schematic diagram of a flow chart of a method for safety monitoring of an electric energy meter in an embodiment;

[0049] Figure 7 A schematic diagram of a flow chart of a method for safety monitoring of an electric energy meter in another embodiment;

[0050] Figure 8 A flow chart for updating the preset abnormally high temperature value bound to each second-type temperature sensor in real time;

[0051] Fig. 9 The figure is a flow chart of a method for safety monitoring of an electric energy meter in yet another embodiment. DETAILED DESCRIPTION

[0052] This section will describe in detail the specific embodiments of the present invention. The preferred embodiments of the present invention are shown in the accompanying drawings. The purpose of the accompanying drawings is to supplement the description of the text part of the specification with graphics, so that people can intuitively and vividly understand each technical feature and the overall technical solution of the present invention, but it cannot be understood as a limitation on the scope of protection of the present invention.

[0053] like Figure 1 As shown, in one embodiment, an electric energy meter is provided, which includes a bottom shell 1 and a top shell 2. The bottom shell 1 and the top shell 2 can be installed in cooperation with each other to form an outer shell of the electric energy meter. There is a transparent area on the top shell 2, and a display 21 arranged inside the outer shell of the electric energy meter can be observed by a user through the transparent area.

[0054] like Figure 2 As shown, the circuit board 3 of the electric energy meter is fixed in the cavity inside the shell, the top surface of the circuit board 3 is used to deploy various electronic components, the bottom surface of the circuit board 3 is adhered to a heat sink metal sheet with the same shape as the circuit board 3 through a thermal conductive gel, and the heat sink metal sheet is fixed inside the shell, wherein the heat sink metal sheet is made of copper. Neatly arranged heat sink fins are welded to the bottom surface of the heat sink metal sheet, and the heat sink metal sheet and the heat sink fins together constitute a heat dissipation path 4 of the circuit board 3. In one embodiment, the heat sink metal sheet is divided into a first heat sink 43 and a second heat sink 41, the first heat sink 43 is in contact with the first type of area, the second heat sink 41 is in contact with the second type of area, and the first heat sink 43 and the second heat sink 41 are fixedly connected by a heat insulating material 7. Specifically, as Figure 3 and Figure 4 As shown, aerogel is filled between the first heat sink 43 and the second heat sink 41, and the aerogel is fixedly connected to the first heat sink 43 and the second heat sink 41 by adhesive, so that a large amount of heat on the first heat sink 43 cannot be effectively transferred to the second heat sink 41. Similarly, the heat sink fins are also divided into two categories, one is the first fin 42 directly welded on the first heat sink 43, and the other is the second fin 44 welded on the second heat sink 41. Figure 2 As shown, a heat dissipation opening 11 is provided at the bottom of the bottom shell 1, and the heat dissipation fins are in contact with the air outside the shell through the heat dissipation opening 11. Figure 2 As shown, the gap between the heat dissipation opening 11 and the heat dissipation metal sheet is filled with sealant to prevent water vapor from entering the housing through the gap.

[0055] like Figure 3 and Figure 4As shown, in this embodiment, the number of the second type temperature sensors 52 is 6, and the second type temperature sensors 52 are attached to the bottom surface of the second heat sink 41 by an adhesive, and the outer surface of the second type temperature sensors 52 is wrapped by a heat insulation layer 6. Specifically, the heat insulation layer 6 is made of aerogel material to prevent the influence of the external ambient temperature on the second type temperature sensors 52. The first type temperature sensors 51 are deployed in the first type area on the circuit board 3. It should be noted that the first type area is an area on the circuit board 3 that is prone to frequently generate a large amount of heat, such as an area where power devices 31 (such as power MOS, current transformers, etc., which generate a large amount of heat during operation) are deployed, and the second type area is an area on the circuit board 3 that generates less heat. Therefore, if the heat emitted from this area is transferred to the second type temperature sensor 52 too much, it will affect the coverage of the heat generated by the second type area, and affect the effect of using a small number of second type temperature sensors 52 to monitor the second type area. It can be understood that those skilled in the art can adjust and divide the first type area and the second type area according to the design of the circuit board 3 in the specific electric energy meter, which will not be repeated here. In this embodiment, by fixedly connecting the first heat sink 43 and the second heat sink 41 through insulation material, the influence of the large amount of heat generated by the first heat sink 43 at abnormally high temperature on the second type temperature sensor 52 can be reduced, thereby improving the accuracy of determining the abnormally high temperature position in the second type area.

[0056] like Figure 5 As shown, in one embodiment, the number of the second type temperature sensors 52 is 8, and the second type area on the circuit board 3 is divided into a plurality of small areas, each of which is divided into a plurality of positions, wherein Figure 5In the example shown, the side lengths of each small square are equal, and the length of each side is set as unit length, and the lower left corner of position d1 is the coordinate origin. A total of 32 positions are formed, position a6 is the first type of area, and other positions belong to the second type of area. Specifically, a1, a2, b1, b2 belong to a small area, a3, a4, b3, b4 belong to a small area, a5, b5, b6 belong to a small area, a7, a8, b7, b8 belong to a small area, c1, c2, d1, d2 belong to a small area, c3, c4, d3, d4 belong to a small area, c5, c6, d5, d6 belong to a small area, c7, c8, d7, d8 belong to a small area. Along the plane of the heat sink metal sheet, the second-type temperature sensors 52 closest to each position in each small area are all second-type temperature sensors 52 deployed at the corresponding small area installation point. For example, in the small area composed of a1, a2, b1, and b2, the second-type temperature sensor 52 of the small area is deployed at the coordinate (x, y) = (1, 3) on the heat sink metal sheet, and the second-type temperature sensor 52 at the coordinate is the installation point closest to a1, a2, b1, and b2. Similarly, the second-type temperature sensors 52 of other small areas are deployed at the positions closest to each position in each small area along the plane of the heat sink metal sheet. For a square, the installation point is its geometric center.

[0057] Therefore, once abnormally high temperature occurs at each location in each small area, since heat transfer is inversely correlated with distance, when the temperature value detected by the second-type temperature sensor 52 in a small area is not less than the abnormally high temperature value bound to the second-type temperature sensor 52, it means that abnormally high temperature has occurred at a certain location in the small area. At this time, the electric energy meter safety monitoring method provided in the present application can be used to further determine which specific location in the small area has abnormally high temperature based on multiple second-type temperature sensors 52 deployed on the heat spreading path 4, thereby using fewer temperature sensors to monitor abnormally high temperature data at more locations.

[0058] Specifically, the electric energy meter safety monitoring method provided by the present application will be further described below in combination with embodiments and drawings. The method is applied to the electric energy meter in the above embodiments.

[0059] like Figure 6 As shown, in one embodiment, a method for safety monitoring of an electric energy meter is provided, the method comprising:

[0060] In step S202, the electric energy meter obtains temperature data of each first-type area in the electric energy meter through the corresponding first-type temperature sensor 51 deployed in each first-type area, and executes a high-temperature processing strategy when abnormally high temperature is detected in each first-type area.

[0061] It is understandable that deploying temperature sensors at specific locations and executing high temperature processing strategies when abnormally high temperatures are detected in each first-category area belongs to the prior art. The specific strategies can be referred to Patent Document 1, which will not be described in detail here. The technical contribution of the present application is that for the second-category areas with less heat, fewer temperature sensors can be used for monitoring, so as to record the abnormal high temperatures of various locations on the circuit board during the entire life cycle of the electric energy meter, and provide detailed data for the subsequent replacement of the electric energy meter. On the other hand, the monitoring of the second-category areas with less heat generation cannot rule out the possible risk of abnormal high temperatures, so the present application also plays an important role in the safe operation of the electric energy meter in use.

[0062] Step S204, the electric energy meter determines the target location where abnormally high temperature occurs in the second-type area through temperature data obtained by multiple second-type temperature sensors deployed on the heat dissipation path of the second-type area; wherein the second-type area is an area on the circuit board of the electric energy meter that is different from the first-type area, and the target location is the location where abnormally high temperature occurs in the second-type area. Specifically, the second-type temperature sensor and the first-type temperature sensor can use the same type of temperature sensor, for example, both can use platinum resistance as the temperature sensor.

[0063] In the present application, in order to monitor the abnormally high temperature conditions at various locations in the second category area of ​​the electric energy meter circuit board, it is not necessary to deploy a temperature sensor at each location in the second category area. Instead, it is only necessary to deploy a small number of temperature sensors on the heat dissipation path of the second category area (the number of second category temperature sensors may be less than the number of target locations that need to be detected). By utilizing the characteristic that the heat dissipation path of the second category area has uniform thermal conductivity, the heat of the target location where the abnormally high temperature appears in the second category area can be conducted to multiple second category temperature sensors deployed in the heat dissipation path of the second category area. The target location where the abnormally high temperature appears in the second category area is determined by the temperature data jointly monitored by multiple second category temperature sensors and a specific algorithm.

[0064] like Figure 7 As shown, the electric energy meter determines the target location where abnormally high temperature occurs in the second type area through temperature data obtained by multiple second type temperature sensors deployed on the heat dissipation path of the second type area, specifically including:

[0065] Step S2041, when a temperature value measured by a second type temperature sensor among the plurality of second type temperature sensors is not less than an abnormally high temperature value bound to the second type temperature sensor, the electric energy meter generates an abnormally high temperature trigger signal.

[0066] like Figure 5As shown, in one example, the second type area is divided into 8 small areas, corresponding to which 8 second type temperature sensors are used. The coordinates of the 8 second type temperature sensors are deployed as (x, y) = (1, 3), (3, 3), (5, 3), (7, 3), (1, 1), (3, 1), (5, 1), (7, 1), and they are numbered as sensors 1 to 8. It is known that the abnormal high temperature value bound to sensor 1 is 55°C. In one example, a high temperature abnormality occurs at position a1, causing the temperature value measured by sensor 1 to reach 55°C. At this time, the time is 12:21:01, and the electric energy meter generates an abnormal high temperature trigger signal.

[0067] Step S2042: When the electric energy meter detects an abnormally high temperature trigger signal, a countdown to the abnormal trigger is performed according to a preset time length.

[0068] In this example, the preset time is 2 seconds. The countdown can avoid misjudgment caused by environmental interference of the second type of temperature sensor.

[0069] Step S2043: when the countdown for the abnormal trigger ends and the temperature value measured by the second type temperature sensor is still not less than the abnormal high temperature value bound to the second type temperature sensor, the electric energy meter determines that an abnormal high temperature event occurs in the second type area.

[0070] If the temperature value measured by sensor No. 1 is still not less than 55° C. at 12:21:03, the electric energy meter determines that an abnormally high temperature event occurs in the second type area.

[0071] Step S2044, when an abnormally high temperature event occurs in the second type area, the electric energy meter encapsulates the temperature values ​​currently measured by all the second type temperature sensors into an abnormally high temperature data and reports the abnormally high temperature data to the main station, so that the main station inputs the abnormally high temperature data into the preset algorithm to determine the target location where the abnormally high temperature occurs in the second type area.

[0072] Therefore, the electric energy meter encapsulates the temperature values ​​measured by sensors No. 1 to No. 8 at 12:21:03 into an abnormally high temperature data and reports the abnormally high temperature data to the main station. Specifically, an abnormally high temperature data includes the serial number of each second-class temperature sensor and the temperature value recorded by the second-class temperature sensor with the serial number, and the serial number of the second-class temperature sensor used to trigger the electric energy meter to generate an abnormally high temperature trigger signal. In one embodiment, the encapsulated format is a two-dimensional array of 9 rows and 2 columns, [{1,55.6},{2,47.2},{3,42.4},{4,40.7},{5,46.8},{6,44.1},{7,41.3},{8,40.2},{X,1}], wherein 8 rows record the serial number of each second-class temperature sensor and the temperature value recorded by the second-class temperature sensor with the serial number, and the last row records the serial number of the second-class temperature sensor used to trigger the electric energy meter to generate an abnormally high temperature trigger signal.

[0073] In one embodiment, the method further includes, when the electric energy meter detects that the abnormally high temperature event has ended, recording and reporting the duration of the corresponding abnormally high temperature event.

[0074] After an abnormally high temperature event occurs, when the temperature value of the second type of temperature sensor used to trigger the electric energy meter to generate an abnormally high temperature trigger signal is detected to be less than the abnormally high temperature value bound to the second type of temperature sensor, the abnormally high temperature event is determined to be over, and the time at this time is taken as the second time point, and the time when the abnormally high temperature event occurs is taken as the first time point, and the second time point is subtracted from the first time point to obtain the corresponding duration of the abnormally high temperature event. For example, after an abnormally high temperature event occurs, the master station determines that a target location a1 in the second type of area where abnormally high temperature occurs through a preset algorithm, and therefore, the duration refers to the duration of the abnormally high temperature event at the target location a1.

[0075] like Figure 8 As shown, in one embodiment, the method further includes the step of updating the preset abnormally high temperature value bound to each second-type temperature sensor in real time:

[0076] Step S302: When the electric energy meter detects an abnormally high temperature event, the packaged abnormally high temperature data is added to the cache set I; each packaged abnormally high temperature data is used as an element in the cache set I.

[0077] Step S304: When the electric energy meter detects that the abnormally high temperature event ends, the corresponding abnormally high temperature data is deleted from the cache set I.

[0078] Step S306: When the electric energy meter detects that the cache set I has changed, the abnormally high temperature value bound to each second-type temperature sensor is updated based on the following formula 1: :

[0079] Formula 1: ;

[0080] in, is the normal operating temperature value corresponding to the second type of temperature sensor obtained through experimental testing, is the abnormal temperature rise value corresponding to the second type of temperature sensor obtained through experimental testing, is the corrected temperature rise value of the element with index i in the cache set I corresponding to the second-type temperature sensor.

[0081] Since the heat sink metal sheet has good thermal conductivity, the second-type temperature sensor deployed on it is easily affected by the heat generated at the abnormally high temperature position, thereby changing the normal operating temperature value obtained in the experimental test (that is, when the temperature at a certain position is abnormally high, the components at other positions can still work normally, but the temperature value of the components at the corresponding position measured by the second-type temperature sensor set at the other position when working normally will be higher than the temperature value of the components at the corresponding position measured in the experiment when working normally). Therefore, it is necessary to use formula one to correct the abnormally high temperature value, so as to reduce the misjudgment rate of abnormally high temperature events.

[0082] For example, in the above embodiment, at 12:21:03, an abnormally high temperature data is added to the cache set, [{1,55.6},{2,47.2},{3,42.4},{4,40.7},{5,46.8},{6,44.1},{7,41.3},{8,40.2},{X,1}], and only this abnormally high temperature data exists in the cache set. Taking sensor No. 2 as an example, its normal operating temperature value The abnormal temperature rise value is 45℃ At 10°C, The corrected temperature rise value of sensor 2 is 47.2℃. The following formula 2 is used to determine the corrected temperature rise value of sensor 2. :

[0083] Formula 2: ;

[0084] in, It is the temperature value measured by the second type of temperature sensor when a high temperature abnormal event occurs and recorded in the element with index i in the cache set I.

[0085] Calculate the value of sensor No. 2 The abnormally high temperature value of sensor 2 after update is 47.2℃-45℃=2.2℃ It is 45℃+10℃+2.2℃=57.2℃.

[0086] It reflects that when abnormal high temperature occurs at a certain location in the second type area, the large amount of heat generated will affect the second type temperature sensors deployed on the heat dissipation metal sheet. Therefore, by correcting this influence through formula 2, the accuracy of determining the occurrence of abnormal high temperature events can be improved.

[0087] Specifically, Fig. 9 As shown, the method also includes:

[0088] Step S402: dividing the second type of area on the circuit board into a plurality of small areas, and each small area is divided into a plurality of positions.

[0089] Step S404: Divide the heat dissipation metal sheet into small areas and the multiple positions in a one-to-one correspondence.

[0090] Step S406, deploying a second type temperature sensor at the installation point of each small area of ​​the heat dissipation metal plate; wherein along the plane of the heat dissipation metal plate, the second type temperature sensors closest to each position in each small area are all second type temperature sensors deployed at the installation point of the corresponding small area.

[0091] Step S408: for each small area, each position on the circuit board belonging to the corresponding small area is made to reach the corresponding abnormally high temperature and the temperature value measured by the second type temperature sensor deployed in the corresponding small area is obtained, and the lowest temperature value is taken as the abnormally high temperature alarm temperature T' of the second type temperature sensor deployed in the corresponding small area.

[0092] Step S410: for each small area, each position on the circuit board belonging to the corresponding small area is in a normal working state, and the temperature values ​​measured by the second type temperature sensor deployed in the corresponding small area are obtained multiple times, and the average of the temperature values ​​is taken as the normal working temperature value of the second type temperature sensor deployed in the corresponding small area. .

[0093] Step S412, by formula 3 =T'- Determine the abnormal temperature rise value corresponding to the second type of temperature sensor .

[0094] For example, Figure 5As shown, in one example, the second type area is divided into 8 small areas, corresponding to the use of 8 second type temperature sensors, the deployment coordinates of the 8 second type temperature sensors are (x, y) = (1, 3), (3, 3), (5, 3), (7, 3), (1, 1), (3, 1), (5, 1), (7, 1), and numbered as sensors 1 to 8. Under the test environment, when the electric energy meter is operating normally, the outer shell of the electric energy meter is disassembled. In the small area composed of a1, a2, b1, and b2, corresponding to sensor No. 1, the abnormally high temperatures of the four positions a1, a2, b1, and b2 are all 65°C. Therefore, a heat source with a temperature value of 65°C is placed at position a1 for a period of time, such as 10 seconds, and then the temperature value of 57.3°C measured by sensor No. 1 is obtained at this time. Then repeat the above steps at positions a2, b1, b2, etc. in the small area, and finally obtain four temperature values: 55.2°C, 55.1°C, 55.7°C, and 55.0°C. Take the lowest temperature value as the abnormally high temperature alarm temperature T' of the second type of temperature sensor deployed in the corresponding small area, that is, 55.0°C. Specifically, a heating wire or a platinum resistor can be used as a temperature-controllable heat source.

[0095] Furthermore, let these 8 small areas be in normal working state. For the small area composed of a1, a2, b1, and b2, use sensor No. 1 to measure 10 times at an interval of 10 seconds, and the average temperature obtained is 45°C. Therefore, the normal working temperature value of the second type of temperature sensor in the small area composed of a1, a2, b1, and b2 is =45℃. Finally, through formula 3 =T'- Determine the abnormal temperature rise value corresponding to the second type of temperature sensor (i.e. sensor No. 1) in the small area composed of 1, a2, b1, and b2 =55℃-45℃=10℃.

[0096] It should be noted that, since different ambient temperatures will affect the values ​​measured by the second type temperature sensors, in some embodiments, in the experiment, the above steps can be performed again at different ambient temperatures to determine the normal operating temperature values ​​corresponding to each second type temperature sensor at different ambient temperatures. and abnormal temperature rise Normal operating temperature values ​​of each second-class temperature sensor corresponding to different ambient temperatures and abnormal temperature rise The data are stored in the storage medium of the electric energy meter in advance. In the actual application of the electric energy meter, an external temperature sensor is set outside the outer shell of the electric energy meter. Since the ambient temperature of the environment in which the electric energy meter is located is measured, the electric energy meter selects the normal operating temperature value corresponding to each second type temperature sensor corresponding to different ambient temperatures based on the ambient temperature. and abnormal temperature rise To improve the accuracy of determining abnormally high temperature events.

[0097] In one embodiment, the preset algorithm is a neural network algorithm, and the master station inputs the abnormally high temperature data into the preset algorithm to determine the target location where the abnormally high temperature appears in the second type area, specifically including:

[0098] Step S502: input the abnormal high temperature data into a neural network model. The neural network model is trained using multiple sets of training data, each of which includes abnormal high temperature data when an abnormal high temperature event occurs and a label for identifying a target location where the abnormal high temperature event occurs.

[0099] Step S504, obtaining output information of the neural network model; wherein the output information includes a target location where the abnormally high temperature event corresponding to the abnormally high temperature data occurs.

[0100] The specific method of using neural networks for training belongs to the existing technology and will not be elaborated here.

[0101] The present application uses a neural network to fit the law of heat transfer from abnormally high temperature positions on the heat dissipation metal sheet to each second-type temperature sensor, and can determine abnormally high temperature conditions at more positions based on data from a small number of temperature sensors. Specifically, Figure 5 In the example shown, data from eight temperature sensors can be used to monitor abnormally high temperature conditions at 31 locations.

[0102] Specifically, the training data is obtained through the following steps:

[0103] Step S600, when a predetermined position on the circuit board reaches a corresponding abnormally high temperature, and when the temperature value measured by the second-type temperature sensor in the small area at the position is not less than the abnormally high temperature value bound to the second-type temperature sensor and the duration reaches the preset time, the temperature values ​​currently measured by all the second-type temperature sensors are obtained as abnormally high temperature data when an abnormally high temperature event occurs in a group of training data, and the independent hot encoding corresponding to the predetermined position is used as a label in the group of training data for identifying the target position where the abnormally high temperature event occurs.

[0104] As for the above embodiment, in one example, the format after encapsulation is a two-dimensional array of 9 rows and 2 columns. Therefore, the form of abnormal high temperature data when an abnormal high temperature event occurs in a set of training data is as shown in the two-dimensional array, [{1,55.6},{2,47.2},{3,42.4},{4,40.7},{5,46.8},{6,44.1},{7,41.3},{8,40.2},{X,1}], where 8 rows record the number of each second-class temperature sensor and the temperature value recorded by the second-class temperature sensor with the number, and the last row records the number of the second-class temperature sensor used to trigger the electric energy meter to generate an abnormal high temperature trigger signal. Figure 5 As shown in the figure, the 31 positions in the second type of area from a1 to d8 are numbered 1 to 31 in the order of rows first and columns. Then a vector or one-dimensional array with a length of 31 can be formed, and the one-dimensional array is used as the label. For example, if an abnormally high temperature event occurs at position 1 (i.e., position a1), the corresponding label format is [100000000000000000000000000000000].

[0105] For example, in step S600, in order to obtain a set of training data, it is necessary to make the predetermined position on the circuit board (i.e., position a1, i.e., position 1) reach the corresponding abnormally high temperature, such as 65°C. Then, when the temperature value measured by sensor No. 1 is not less than 55°C for 2 seconds (i.e., the preset duration), the temperature data of sensors No. 1 to No. 8 are obtained and packaged to generate an abnormally high temperature data. The data is in the form of [{1,55.6},{2,47.2},{3,42.4},{4,40.7},{5,46.8},{6,44.1},{7,41.3},{8,40.2},{X,1}], and the label format at this time is [100000000000000000000000000000000].

[0106] Step S602: For each position in different small areas, execute the above steps multiple times to obtain multiple sets of training data.

[0107] It should be noted that, since different ambient temperatures will affect the values ​​measured by the second type of temperature sensor, in some embodiments, the ambient temperature needs to be added to the abnormally high temperature data when an abnormally high temperature event occurs in the training data. For example, an external temperature sensor is set outside the housing of the electric energy meter to measure the ambient temperature, and then the predetermined position on the circuit board is made to reach the corresponding abnormally high temperature. When the temperature value measured by the second type of temperature sensor in the small area at the position is not less than the abnormally high temperature value bound to the second type of temperature sensor and the duration reaches the preset time, the temperature values ​​currently measured by all the second type of temperature sensors and the current ambient temperature are obtained together as a set of abnormally high temperature data when an abnormally high temperature event occurs in the training data. Specifically, the above steps can be performed once at different ambient temperatures, thereby improving the applicability of the neural network model at different ambient temperatures. For example, after the ambient temperature is increased, the abnormally high temperature data when an abnormally high temperature event occurs in a set of training data is in the following form: [{1,55.6},{2,47.2},{3,42.4},{4,40.7},{5,46.8},{6,44.1},{7,41.3},{8,40.2},{X,1},{Y,32.2}], where Y in the 10th row is the flag bit and 32.3 is the ambient temperature value.

[0108] Normal operating temperature values ​​corresponding to each second type temperature sensor and abnormal temperature rise Normal operating temperature values ​​of each second-class temperature sensor corresponding to different ambient temperatures and abnormal temperature rise The data are stored in the storage medium of the electric energy meter in advance. In the actual application of the electric energy meter, an external temperature sensor is set outside the outer shell of the electric energy meter. Since the ambient temperature of the environment in which the electric energy meter is located is measured, the electric energy meter selects the normal operating temperature value corresponding to each second type temperature sensor corresponding to different ambient temperatures based on the ambient temperature. and abnormal temperature rise To improve the accuracy of determining abnormally high temperature events.

[0109] In one embodiment, an electric energy meter safety monitoring device is further provided, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the steps of the electric energy meter safety monitoring method when executing the program. The steps of the electric energy meter safety monitoring method here may be the steps in the above-mentioned embodiments.

[0110] In one embodiment, a computer-readable storage medium is further provided, wherein the computer-readable storage medium stores computer-executable instructions, wherein the computer-executable instructions are used to enable a computer to execute the steps of the above-mentioned electric energy meter safety monitoring method. The steps of the electric energy meter safety monitoring method here may be the steps of the electric energy meter safety monitoring method in the above-mentioned various embodiments.

[0111] In one embodiment, an electric energy meter is further provided. The electric energy meter includes a controller and an electric energy metering chip. The controller is used to execute the above-mentioned electric energy meter safety monitoring method.

[0112] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRA), memory bus (Rambus) direct RAM (RDRA), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0113] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

Claims

1. A method for safety monitoring of electric energy meters, characterized in that: The method comprises: The electric energy meter obtains temperature data of each first-class area in the electric energy meter through the corresponding first-class temperature sensor deployed in each first-class area of ​​the circuit board, and executes a high-temperature processing strategy when abnormally high temperature is detected in each first-class area; The electric energy meter determines the target position where the abnormally high temperature occurs in the second type area through temperature data obtained by multiple second type temperature sensors deployed on the heat dissipation path of the second type area; wherein the second type area is an area on the circuit board of the electric energy meter that is different from the first type area, and the target position is the position where the abnormally high temperature occurs in the second type area; Among them, the first type of area is the area on the circuit board that is prone to frequently generate a large amount of heat, and the second type of area is the area on the circuit board that generates less heat; the heat dissipation path includes a heat dissipation metal sheet arranged on the bottom surface of the circuit board, and the shape of the heat dissipation metal sheet is consistent with the circuit board; the heat dissipation metal sheet is divided into a first heat dissipation body and a second heat dissipation body, the first heat dissipation body contacts the first type of area, and the second heat dissipation body contacts the second type of area, and the first heat dissipation body and the second heat dissipation body are fixedly connected by a heat insulating material; the number of second type temperature sensors is less than the number of target positions that need to be detected.

2. The method for safety monitoring of electric energy meters according to claim 1, characterized in that: The electric energy meter determines the target location where abnormally high temperature occurs in the second type of area through temperature data obtained by multiple second type of temperature sensors deployed on the heat dissipation path of the second type of area, including: When a temperature value measured by a second-type temperature sensor among the plurality of second-type temperature sensors is not less than an abnormally high temperature value bound to the second-type temperature sensor, the electric energy meter generates an abnormally high temperature trigger signal; When the electric energy meter detects an abnormally high temperature trigger signal, it will count down the abnormal trigger according to the preset time; When the countdown for the abnormal trigger ends, if the temperature value measured by the second-type temperature sensor is still not less than the abnormally high temperature value bound to the second-type temperature sensor, the electric energy meter determines that an abnormally high temperature event occurs in the second-type area; When an abnormally high temperature event occurs in the second type of area, the electric energy meter encapsulates the temperature values ​​currently measured by all the second type of temperature sensors into an abnormally high temperature data and reports the abnormally high temperature data to the main station, so that the main station inputs the abnormally high temperature data into the preset algorithm to determine the target location where the abnormally high temperature occurs in the second type of area.

3. The method for safety monitoring of electric energy meters according to claim 2, characterized in that: When the abnormal high temperature event is detected to have ended, the duration of the corresponding abnormal high temperature event is recorded and reported.

4. The method for safety monitoring of electric energy meters according to claim 3, characterized in that: The method further includes the step of updating the preset abnormally high temperature value bound to each second-type temperature sensor in real time: When the electric energy meter detects an abnormally high temperature event, the packaged abnormally high temperature data is added to the cache set I; each packaged abnormally high temperature data is used as an element in the cache set I; When the electric energy meter detects that the abnormally high temperature event ends, the corresponding abnormally high temperature data is deleted from the cache set I; When the electric energy meter detects that the cache set I has changed, the abnormal high temperature value bound to each second-type temperature sensor is updated based on the following formula 1: : Formula 1: ; in, is the normal operating temperature value corresponding to the second type of temperature sensor obtained through experimental testing, is the abnormal temperature rise value corresponding to the second type of temperature sensor obtained through experimental testing, is the corrected temperature rise value of the element with index i in the cache set I corresponding to the second-type temperature sensor.

5. The method for safety monitoring of electric energy meters according to claim 4, characterized in that: Determine it by the following formula : Formula 2: ; in, It is the temperature value measured by the second type of temperature sensor when a high temperature abnormal event occurs and recorded in the element with index i in the cache set I.

6. The method for safety monitoring of electric energy meters according to claim 4, characterized in that: The heat dissipation path includes a heat dissipation metal sheet disposed on the bottom surface of the circuit board, and the shape of the heat dissipation metal sheet is consistent with the circuit board. The method further includes: Dividing the second type of area on the circuit board into a plurality of small areas, each of which is divided into a plurality of positions; Dividing the heat dissipation metal sheet into small areas and multiple positions in a one-to-one correspondence; A second-type temperature sensor is deployed at the installation point of each small area of ​​the heat dissipation metal sheet; wherein, along the plane of the heat dissipation metal sheet, the second-type temperature sensor closest to each position in each small area is the second-type temperature sensor deployed at the installation point of the corresponding small area; For each small area, each position on the circuit board belonging to the corresponding small area is set to reach the corresponding abnormally high temperature and the temperature value measured by the second type temperature sensor deployed in the corresponding small area is obtained, and the lowest temperature value is taken as the abnormally high temperature alarm temperature T' of the second type temperature sensor deployed in the corresponding small area; For each small area, each position on the circuit board belonging to the corresponding small area is in a normal working state and the temperature values ​​measured by the second type temperature sensor deployed in the corresponding small area are obtained multiple times, and the average of the temperature values ​​is taken as the normal working temperature value of the second type temperature sensor deployed in the corresponding small area. ; Through formula three =T'- Determine the abnormal temperature rise value corresponding to the second type of temperature sensor .

7. The method for safety monitoring of electric energy meters according to claim 6, characterized in that: The preset algorithm is a neural network algorithm. The master station inputs the abnormally high temperature data into the preset algorithm to determine the target location where the abnormally high temperature appears in the second type area, specifically including: Inputting the abnormally high temperature data into a neural network model; wherein the neural network model is trained using multiple sets of training data, each set of training data in the multiple sets of training data includes abnormally high temperature data when an abnormally high temperature event occurs and a label for identifying a target location where the abnormally high temperature event occurs; The output information of the neural network model is obtained; wherein the output information includes the target location where the abnormal high temperature event corresponding to the abnormal high temperature data occurs.

8. The method for safety monitoring of electric energy meters according to claim 7, characterized in that: To obtain training data, follow these steps: When the predetermined position on the circuit board reaches the corresponding abnormally high temperature, and the temperature value measured by the second-type temperature sensor in the small area at the position is not less than the abnormally high temperature value bound to the second-type temperature sensor for a duration of the preset time, the temperature values ​​currently measured by all the second-type temperature sensors are obtained as abnormally high temperature data when an abnormally high temperature event occurs in a set of training data, and the independent hot encoding corresponding to the predetermined position is used as a label for identifying the target position where the abnormally high temperature event occurs in the set of training data; For each position in different small areas, the above steps are performed multiple times to obtain multiple sets of training data.

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