Electric parameter measurement anomaly detection method, intelligent circuit breaker and terminal distribution box

Abstract

The invention discloses an electric parameter measurement anomaly detection method, an intelligent circuit breaker and a terminal distribution box, the method is applied to the intelligent circuit breaker, the intelligent circuit breaker is located on a power supply main loop in the terminal distribution box, the power supply main loop is connected with a plurality of power supply branches, and each power supply branch is provided with a corresponding electric energy meter. The intelligent circuit breaker is in communication connection with each electric energy meter, and the method comprises the steps: collecting loop electric parameter data of a power supply main loop, and obtaining branch electric parameter data, collected by each electric energy meter, of a corresponding power supply branch; and determining whether the measurement of the electric parameter is abnormal or not according to the type of the electric parameter, the loop electric parameter data, the branch electric parameter data and the fault threshold corresponding to the type of the electric parameter. The intelligent circuit breaker can directly determine whether the corresponding electric parameter measurement is abnormal or not according to the received data, the types of the electric parameters and the corresponding fault thresholds, so that the detection efficiency is improved, the response speed is accelerated, and the reliability of a power distribution system is improved.

Description

Technical Field

[0001] The present application relates to the field of electric power technology, and in particular to a method for detecting abnormality in electric parameter measurement, an intelligent circuit breaker and a terminal distribution box. Background Art

[0002] The terminal distribution box is an important part of the power system and an important link before power supply enters the home. Usually, the terminal distribution box can include multiple distribution terminals. There are two situations for the location of the distribution terminal. One is that it can be installed on the trunk cable to monitor the electrical parameters of the main circuit. The other is that it can be installed on the branch cable to monitor the electrical parameters of the corresponding branch.

[0003] In the related technology, the electrical parameters monitored by the distribution terminal need to be uniformly uploaded to the maintenance platform, which analyzes various electrical parameters and determines the operation status of the distribution system. However, since data upload is affected by network status and transmission distance, the maintenance platform may not be able to monitor distribution system faults in time, and thus cannot respond to faults in time, affecting the normal operation of the distribution system. Summary of the invention

[0004] In view of the above problems, the present application provides an electrical parameter measurement anomaly detection method, an intelligent circuit breaker and a terminal distribution box to solve the above technical problems.

[0005] In a first aspect, the present application provides a method for detecting anomalies in electrical parameter measurements, which is applied to an intelligent circuit breaker. The intelligent circuit breaker is located on a main power supply circuit in a terminal distribution box. The main power supply circuit is connected to multiple power supply branches, each power supply branch is provided with a corresponding electric energy meter, and the intelligent circuit breaker is communicatively connected to each electric energy meter. The method includes: collecting loop electrical parameter data of the main power supply circuit, and obtaining branch electrical parameter data of the corresponding power supply branch collected by each electric energy meter; determining whether there is an abnormality in the measurement of the electrical parameter according to the type of the electrical parameter, the loop electrical parameter data, the branch electrical parameter data and the fault threshold corresponding to the type of the electrical parameter.

[0006] In a possible implementation of the present application, it is determined whether there is an abnormality in the measurement of the electrical parameters based on the type of the electrical parameters, loop electrical parameter data, branch electrical parameter data and a fault threshold corresponding to the type of the electrical parameters, including: obtaining a comparative feature quantity corresponding to the type of the electrical parameters based on the loop electrical parameter data and the branch electrical parameter data; and determining whether there is an abnormality in the measurement of the electrical parameters based on the comparative feature quantity and the fault threshold.

[0007] In a possible implementation of the present application, the type of electrical parameter includes current, the loop electrical parameter data includes loop current value, the branch electrical parameter data includes branch current value, and the comparison characteristic quantity includes current characteristic quantity; based on the loop electrical parameter data and the branch electrical parameter data, the comparison characteristic quantity corresponding to the type of electrical parameter is obtained, including: obtaining the total branch current value based on the sum of each branch current value and a preset loss current average value; obtaining the current characteristic quantity based on the difference between the loop current value and the total branch current value.

[0008] In a possible implementation of the present application, the fault threshold includes a first current fault threshold; based on comparing the characteristic quantity and the fault threshold, it is determined whether there is an abnormality in the measurement of the electrical parameter, including: if the absolute value of the current characteristic quantity is greater than or equal to the first current fault threshold, it is determined that there is an abnormality in the current measurement.

[0009] In a possible implementation of the present application, it is determined that there is an abnormality in the current measurement, and then the method also includes: injecting preset high-order current harmonics into each electric energy meter, and obtaining the current measurement value fed back by each electric energy meter; if the deviation between the target current measurement value and the injected preset high-order current harmonics is greater than or equal to the preset deviation threshold, it is determined that the electric energy meter corresponding to the target current measurement value has a current measurement abnormality.

[0010] In a possible implementation of the present application, the total branch current value is obtained based on the sum of the current values ​​of each branch and the preset loss current average value. Before that, the method also includes: obtaining the instantaneous loss current value based on the difference between the loop current value and the total branch current value; wherein the total branch current value is the sum of the current values ​​of each branch; and calculating the preset loss current average value based on the instantaneous loss current value within a preset time length.

[0011] In a possible implementation of the present application, the fault threshold includes a second current fault threshold. If the electric energy meter is configured with an external circuit breaker, the method may further include: obtaining a current detection value of the external circuit breaker; if the absolute value of the difference between the branch current value and the current detection value is greater than or equal to the second current fault threshold, it is determined that the electric energy meter has a current measurement abnormality.

[0012] In a possible implementation of the present application, the type of electrical parameter includes voltage, the loop electrical parameter data includes loop voltage value, the branch electrical parameter data includes branch voltage value, and the comparison characteristic quantity includes voltage characteristic quantity; based on the loop electrical parameter data and the branch electrical parameter data, the comparison characteristic quantity corresponding to the type of electrical parameter is obtained, including: based on the weighted parameters corresponding to the intelligent circuit breaker and each electric energy meter, the loop voltage weighted value corresponding to the loop electrical parameter data and the branch voltage weighted value corresponding to each branch electrical parameter data are calculated; based on the loop voltage weighted value and the branch voltage weighted value, a voltage weighted average value is obtained, and the voltage weighted average value is used as the voltage characteristic quantity.

[0013] In a possible implementation of the present application, the fault threshold includes a voltage fault threshold; based on comparing the characteristic quantity and the fault threshold, determining whether there is an abnormality in the measurement of the electrical parameter, including: if the absolute value of the difference between the voltage weighted average value and the target voltage value is greater than or equal to the voltage fault threshold, then determining that there is an abnormality in the target voltage value; wherein the target voltage value is the loop voltage value collected by the intelligent circuit breaker or the branch voltage value collected by the electric energy meter.

[0014] In a possible implementation of the present application, the type of electrical parameter includes phase angle, the loop electrical parameter data includes loop phase angle value, the branch electrical parameter data includes branch phase angle value, and the comparison feature includes phase angle feature; based on the loop electrical parameter data and the branch electrical parameter data, the comparison feature corresponding to the type of electrical parameter is obtained, including: based on the weighted parameters corresponding to the intelligent circuit breaker and each electric energy meter, the loop phase angle weighted value corresponding to the loop electrical parameter data and the branch phase angle weighted value corresponding to each branch electrical parameter data are calculated; based on the loop phase angle weighted value and the branch phase angle weighted value, a phase angle weighted average value is obtained, and the phase angle weighted average value is used as the phase angle feature.

[0015] In a possible implementation of the present application, the fault threshold includes a phase angle deviation threshold; based on the comparison of the characteristic quantity and the fault threshold, it is determined whether there is an abnormality in the measurement of the electrical parameter, including: if the absolute value of the difference between the weighted average value of the phase angle and the target phase angle value is greater than or equal to the phase angle deviation threshold, then it is determined that there is an abnormality in the target phase angle value; wherein the target phase angle value is the loop phase angle value collected by the intelligent circuit breaker or the branch phase angle value collected by the electric energy meter.

[0016] In a possible implementation of the present application, the type of electrical parameter includes power, the loop electrical parameter data includes loop power values, the branch electrical parameter data includes branch power values, and the comparison characteristic quantity includes a power characteristic quantity; based on the loop electrical parameter data and the branch electrical parameter data, a comparison characteristic quantity corresponding to the type of electrical parameter is obtained, including: obtaining a total branch power value based on the sum of each branch power value and a preset average power loss value; obtaining a power characteristic quantity based on the difference between the loop power value and the total branch power value.

[0017] In a possible implementation of the present application, the fault threshold includes a power fault threshold; and determining whether there is an abnormality in the measurement of the electrical parameter according to the comparison of the characteristic quantity and the fault threshold includes: if the absolute value of the power characteristic quantity is greater than or equal to the power fault threshold, determining that there is an abnormality in the power measurement; After determining that there is an abnormality in the power measurement, the method further includes: determining the cause of the abnormality and the abnormal device based on the current data, voltage data and phase angle data in the loop electrical parameter data and the branch electrical parameter data.

[0018] In a possible implementation of the present application, the total branch power value is obtained based on the sum of the power values ​​of each branch and the preset power loss average value. Before that, the method also includes: obtaining the instantaneous power loss value based on the difference between the loop power value and the branch total power value; wherein the branch total power value is the sum of the power values ​​of each branch; and calculating the preset power loss average value based on the instantaneous power loss value within a preset time length.

[0019] In a possible implementation of the present application, the method further includes: when it is determined that there is an abnormality in the measurement of the electrical parameter, reporting abnormal data to the upper-level terminal to indicate the presence of the abnormality.

[0020] In a possible implementation of the present application, loop electrical parameter data of the main power supply circuit is collected, and branch electrical parameter data of the corresponding power supply branch collected by each electric energy meter is obtained. Before that, the method also includes: exchanging data with the main power supply circuit and the communicative devices on the power supply branch through a communication bus, and identifying the electric energy meters and non-measuring devices on the main power supply circuit and the power supply branch.

[0021] In a second aspect, the present application further provides an intelligent circuit breaker, which includes a memory and a processor, the memory is used to store a computer program, and when the computer program is executed by the processor, it is used to implement the steps of the electrical parameter measurement anomaly detection method in any possible implementation method of the first aspect.

[0022] In a third aspect, the present application further provides a terminal distribution box, in which an intelligent circuit breaker, an electric energy meter and a non-measuring device are arranged, wherein the intelligent circuit breaker is located on the main power supply circuit in the terminal distribution box, the electric energy meter is located on the power supply branch of the main power supply circuit, and the non-measuring device is located on the main power supply circuit and / or the power supply branch of the main power supply circuit; The intelligent circuit breaker is communicatively connected to the electric energy meter, and the intelligent circuit breaker is used to implement the steps of the electric parameter measurement abnormality detection method in any possible implementation manner of the first aspect to determine whether the electric parameter measurement is abnormal.

[0023] From the above content, it can be concluded that the present application has the following beneficial effects: In the present application, the electric energy meter on the power supply branch is communicatively connected with the intelligent circuit breaker on the main power supply circuit. The loop electrical parameter data of the main power supply circuit is collected through the intelligent circuit breaker, and the branch electrical parameter data collected by the electric energy meter is obtained. Then, the intelligent circuit breaker can directly determine whether there is an abnormality in the corresponding electrical parameter measurement based on the received data, the type of electrical parameter and the corresponding fault threshold. Compared with the related technology in which each device uniformly uploads the electrical parameters to the maintenance platform for processing, the detection efficiency is improved, thereby accelerating the response speed and improving the reliability of the distribution system. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0025] Figure 1 It is a structural schematic diagram of a terminal distribution box provided in an embodiment of the present application; Figure 2 It is a flow chart of the electrical parameter measurement anomaly detection method provided in the embodiment of the present application. DETAILED DESCRIPTION

[0026] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and cannot be understood as limiting the present application.

[0027] In order to enable those skilled in the art to better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of the present application.

[0028] In the embodiments of the present application, it should be noted that, in this article, relational terms such as first and second, etc. are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations.

[0029] Moreover, the terms "comprises", "comprising" or any other variation thereof are intended to cover non-exclusive inclusion, so that an article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such article or device. In the absence of more restrictions, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the article or device comprising the element.

[0030] In the description of the embodiments of the present application, words such as "example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "example" or "for example" in the embodiments of the present application is not to be interpreted as being more preferred or having more advantages than another embodiment or design. The use of words such as "example" or "for example" is intended to present relative concepts in a clear manner.

[0031] In addition, the "plurality" in the embodiments of the present application refers to two or more than two. In view of this, in the embodiments of the present application, "plurality" can also be understood as "at least two". "At least one" can be understood as one or more, for example, one, two or more. For example, including at least one means including one, two or more, and there is no limit on which ones are included. For example, including at least one of A, B and C, then A, B, C, A and B, A and C, B and C, or A, B and C can be included.

[0032] The electrical parameter measurement anomaly detection method, intelligent circuit breaker and terminal distribution box provided in this application are described in detail below.

[0033] First, an embodiment of the present application provides an electrical parameter measurement anomaly detection method, which can be applied to an intelligent circuit breaker. The intelligent circuit breaker can be located on a main power supply circuit in a terminal distribution box, and the main power supply circuit is connected to multiple power supply branches. Each power supply branch is provided with a corresponding measuring device such as an electric energy meter. The intelligent circuit breaker can communicate with each electric energy meter to achieve data interaction.

[0034] like Figure 1 As shown, in the terminal distribution box, the intelligent circuit breaker 10 is arranged on the main power supply circuit composed of the live wire L and the neutral wire N, and multiple electric energy meters such as the first electric energy meter 21 and the second electric energy meter 22 are respectively arranged on multiple power supply branches derived from the main power supply circuit. At the same time, in order to improve the power supply safety, non-measuring devices such as air switch / fuse 30, surge protector 40, leakage protector 50, switch power supply 60, and smart lock 70 are also arranged on the main power supply circuit.

[0035] In an embodiment of the present application, the intelligent circuit breaker 10 and each electric energy meter can be configured with a communication module, such as an RS485 module. The RS485 module of each device can be connected to an RS485 bus, thereby realizing information interaction between devices through the RS485 bus, for example, the intelligent circuit breaker 10 sends a request for obtaining electrical parameter data to the electric energy meter, or the electric energy meter uploads the collected branch electrical parameter data to the intelligent circuit breaker 10.

[0036] It can be understood that non-measuring devices such as air switches / fuses 30, surge protectors 40, leakage protectors 50, switching power supplies 60, and smart locks 70 usually do not have communication modules. These devices will produce corresponding losses in the circuit. Therefore, in order to improve the detection accuracy, this part of the loss can be eliminated; and other non-measuring devices with communication modules but without metering functions can also be arranged in the main power supply circuit and / or the power supply branch. The specific method can be determined according to the actual application scenario and is not limited here.

[0037] See also Figure 2 , Figure 2 It is a flow chart of the electrical parameter measurement anomaly detection method provided in an embodiment of the present application. It should be noted that although the logical order is shown in the flow chart, in some cases, the steps shown or described may be performed in an order different from that shown here.

[0038] The electrical parameter measurement anomaly detection method may include the following steps.

[0039] Step S1, collecting loop electrical parameter data of the main power supply loop, and obtaining branch electrical parameter data of the corresponding power supply branch collected by each electric energy meter.

[0040] In the embodiment of the present application, the intelligent circuit breaker 10 is located on the main power supply circuit and can be used to sample the loop electrical parameter data of the main power supply circuit. The intelligent circuit breaker 10 can be an intelligent molded case circuit breaker, and the loop electrical parameter data can be dry node electrical parameter data, such as voltage, current, phase angle, active power, reactive power and other types of electrical parameters, which can be determined according to the actual application scenario and are not limited here.

[0041] The electric energy meter is located on the power supply branch derived from the main power supply circuit, and can be used to sample the branch electrical parameter data of the branch where it is located. The electric energy meter can be any existing smart electric energy meter or other equipment with metering function, and the branch electrical parameter data can also be various types of electrical parameters such as voltage, current, phase angle, active power, reactive power, etc., which can be determined according to the actual application scenario and are not limited here.

[0042] In the embodiment of the present application, the intelligent circuit breaker 10 and the electric energy meter can be respectively configured with a bus interface, and connected to the communication bus through the bus interface, so that data interaction can be achieved through the communication bus. The communication bus can be any existing bus, such as RS485 bus, RS232 bus, CAN bus, etc., which can be determined according to the actual application scenario and is not limited here.

[0043] For example, the intelligent circuit breaker 10 and the electric energy meter are both equipped with an RS485 interface, which is connected to the RS485 bus through the RS485 interface. The intelligent circuit breaker 10 can send a request to each electric energy meter to obtain electric parameter data through the RS485 bus, and the electric energy meter can respond to the request by feeding back the branch electric parameter data collected by itself to the intelligent circuit breaker 10 through the RS485 bus, so that the intelligent circuit breaker 10 obtains the corresponding branch electric parameter data.

[0044] Step S2: Determine whether there is any abnormality in the measurement of the electrical parameters according to the type of the electrical parameters, the loop electrical parameter data, the branch electrical parameter data and the fault threshold value corresponding to the type of the electrical parameters.

[0045] According to the above description, the electrical parameters can be of different types such as current, voltage, phase angle, power, etc. It can be understood that different types of electrical parameters may have different fault thresholds for reference and calculation methods for determining abnormalities.

[0046] For example, for voltage, according to Figure 1 It can be known that the intelligent circuit breaker 10 and each electric energy meter are in parallel relationship. Therefore, the voltage value of each power supply branch should be close to the voltage value of the total power supply circuit, that is, the circuit voltage value collected by the intelligent circuit breaker 10 should be close to the branch voltage value collected by each electric energy meter. If one or more voltage values ​​are significantly different from other voltage values, the one or more voltage values ​​may be abnormal.

[0047] As for the current, according to Figure 1 It can be known that the current value of the total power supply circuit should be close to the sum of the current values ​​of each power supply branch, otherwise, there may be an abnormality in the current measurement.

[0048] In the embodiment of the present application, the intelligent circuit breaker 10 can store fault thresholds corresponding to different types of electrical parameters and corresponding calculation methods for judging abnormalities, so that after obtaining the loop electrical parameter data and the branch electrical parameter data, the corresponding fault thresholds and calculation methods can be called to judge whether the electrical parameters are abnormal.

[0049] In the present application, the electric energy meter on the power supply branch is communicatively connected with the intelligent circuit breaker 10 on the main power supply circuit. The circuit electrical parameter data of the main power supply circuit is collected through the intelligent circuit breaker 10, and the branch electrical parameter data collected by the electric energy meter is obtained. Then, the intelligent circuit breaker 10 can directly determine whether there is an abnormality in the corresponding electrical parameter measurement based on the received data, the type of electrical parameter and the corresponding fault threshold. Compared with the related technology in which each device uniformly uploads the electrical parameters to the maintenance platform for processing, the detection efficiency is improved, thereby accelerating the response speed and improving the reliability of the distribution system.

[0050] Next, continue to Figure 1 Each step shown and a specific implementation method that may be used in practical applications are described in detail.

[0051] In some embodiments of the present application, determining whether there is an abnormality in the measurement of electrical parameters based on the type of electrical parameters, loop electrical parameter data, branch electrical parameter data and a fault threshold corresponding to the type of electrical parameters may further include: obtaining a comparative feature quantity corresponding to the type of electrical parameters based on the loop electrical parameter data and the branch electrical parameter data; and determining whether there is an abnormality in the measurement of electrical parameters based on the comparative feature quantity and the fault threshold.

[0052] According to the above description, it can be known that different types of electrical parameters have different calculation methods for determining whether they are abnormal. Therefore, different types of electrical parameters have different calculation methods for corresponding comparative feature quantities.

[0053] In an embodiment of the present application, for the collected loop electrical parameter data and branch electrical parameter data, comparative characteristic quantities corresponding to the electrical parameter types can be obtained respectively, and then based on the comparison result between the comparative characteristic quantities and the fault threshold, it is determined whether there is any abnormality in the measurement of the electrical parameter.

[0054] For example, for voltage, the comparative characteristic quantity may be a weighted average of all voltage values, and for current, the comparative characteristic quantity may be a difference between a loop current value and a branch current value.

[0055] The following describes in detail the abnormality detection methods corresponding to different types of electrical parameters.

[0056] In some embodiments of the present application, the type of electrical parameter may include current, the loop electrical parameter data may include loop current value, and the branch electrical parameter data may include branch current value; based on the loop electrical parameter data and the branch electrical parameter data, a comparative characteristic quantity corresponding to the type of electrical parameter is obtained, which may further include: obtaining the total branch current value based on the sum of each branch current value and a preset loss current average value; obtaining the current characteristic quantity based on the difference between the loop current value and the total branch current value.

[0057] according to Figure 1From the positional relationship between the intelligent circuit breaker 10 and the electric energy meter shown in the figure, it can be known that the sum of the current values ​​of each branch should be equal to the loop current value. In actual applications, the air switch / fuse 30, surge protector 40, leakage protector 50, switching power supply 60, intelligent lock 70 and other non-measuring devices and cables connected to the main power supply loop may cause certain losses to the current. Therefore, in the embodiment of the present application, a preset loss current average value can also be configured for the intelligent circuit breaker 10. The preset loss current average value can be used to characterize the loss of the loop current caused by cables, non-measuring devices, etc. in the terminal distribution box. Under normal circumstances, the current can be compensated by the preset loss current average value. Therefore, the total branch current value obtained by the sum of the current values ​​of each branch and the preset loss current average value can be considered to be close to the loop current value collected by the intelligent circuit breaker 10. The corresponding calculation formula is: I 支总 =ΣI 支 +I 损c , where I 支总 is the total branch current, I 支 is the branch current value, I 损c is the preset average value of the consumption current.

[0058] The calculation formula for the comparative characteristic quantity used to compare with the fault threshold corresponding to the current can be: 电流 =I 总 -I 支总 , where I 电流 is the current characteristic quantity, I 总 is the loop current value.

[0059] The fault threshold corresponding to the current may be a first current fault threshold I s1 Therefore, when obtaining the current characteristic quantity I 电流 After that, the current characteristic quantity I 电流 With the first current fault threshold I s1 By comparison, if the current characteristic quantity I 电流 The absolute value of the first current fault threshold I s1 , it can be considered that the current measurement is abnormal; otherwise, the current measurement is normal.

[0060] In some embodiments of the present application, after determining that there is an abnormality in the current measurement, the method may further include: injecting preset high-order current harmonics into each electric energy meter, and obtaining the current measurement values ​​fed back by each electric energy meter; if the deviation between the target current measurement value and the injected preset high-order current harmonics is greater than or equal to the preset deviation threshold, it is determined that the electric energy meter corresponding to the target current measurement value has a current measurement abnormality.

[0061] According to the method in the aforementioned embodiment, it can be determined whether there is an abnormality in the current measurement. If it is to be determined which device or devices have an abnormality, the abnormal device can be determined by injecting a set harmonic and detecting the feedback value.

[0062] Specifically, preset high-order current harmonics can be injected into each electric energy meter in turn, and the current measurement value collected by each electric energy meter and fed back by itself can be obtained at the same time. Since the current value of the injected harmonic is known, the obtained current measurement value can be compared with the known harmonic current value.

[0063] Considering the possible current fluctuation, a preset deviation threshold can be set. If the deviation between the two is greater than or equal to the preset deviation threshold, it can be determined that the electric energy meter corresponding to the current measurement value has a current measurement abnormality; and if the deviation between the two is less than the preset deviation threshold, it can be determined that the corresponding electric energy meter measures the current normally. It can be understood that the preset deviation threshold can be set to 3mA, 5mA, 10mA, etc., which can be determined according to the required measurement accuracy and specific application scenarios, and is not limited here.

[0064] In some embodiments of the present application, the total branch current value is obtained based on the sum of the current values ​​of each branch and the preset loss current average value. Before that, the method may further include: obtaining the instantaneous loss current value based on the difference between the loop current value and the total branch current value; wherein the total branch current value is the sum of the current values ​​of each branch; and calculating the preset loss current average value based on the instantaneous loss current value within a preset time length.

[0065] In the embodiment of the present application, the preset loss current average value can be determined in advance. For example, the intelligent circuit breaker 10 can determine the preset loss current average value each time it detects that the terminal distribution box is opened, so as to judge whether the subsequent current measurement is abnormal. This is because if a device without communication function is newly added to the terminal distribution box, the preset loss current average value may change. If the current continues to be compensated based on the previous preset loss current average value, it may cause the detection result to be wrong, affecting the normal operation of the terminal distribution box.

[0066] In the embodiment of the present application, for each obtained difference between the loop current value and the branch total current value, the instantaneous loss current value corresponding to the measurement can be obtained, that is, the instantaneous loss current value I 损s =I 总 -ΣI 支 ; In order to improve the measurement accuracy, after multiple measurements within a preset time, the instantaneous loss current value I of the multiple measurements can be calculated 损s The average value of the preset loss current I 损c .

[0067] In another embodiment, the fault threshold corresponding to the current may also include a second current fault threshold I s2 ,like Figure 1 As shown, if the electric energy meter is equipped with an external circuit breaker, the method may further include: The current detection value of the external circuit breaker is obtained; if the absolute value of the difference between the branch current value and the current detection value is greater than or equal to the second current fault threshold, it is determined that the electric energy meter has a current measurement abnormality.

[0068] In the embodiment of the present application, it is also possible to directly determine whether the branch current value of the electric energy meter is abnormal based on the current detection value of the external circuit breaker corresponding to the electric energy meter. Since the electric energy meter and the external circuit breaker are connected in series on the power supply branch, the current detection value of the external circuit breaker should be close to the branch current value of the electric energy meter. If the difference between the two is large, it can be determined that the electric energy meter has a current measurement abnormality.

[0069] Specifically, considering the current loss of the cable, a second current fault threshold I s2 , the intelligent circuit breaker 10 obtains the current detection value I of the external circuit breaker 外置断路器 And the branch current value I of the energy meter 支 After that, the current detection value I 外置断路器 And the branch current value I 支 If the difference is greater than or equal to the second current fault threshold I s2 , it can be determined that there is an abnormality in the current measurement of the electric energy meter; and if the deviation between the two is less than the second current fault threshold I s2 , it can be determined that the electric energy meter is measuring the current normally.

[0070] In some embodiments of the present application, the type of electrical parameter may also include voltage, the loop electrical parameter data may include a loop voltage value, the branch electrical parameter data may include a branch voltage value, and the comparative characteristic quantity may include a voltage characteristic quantity; obtaining the comparative characteristic quantity corresponding to the type of electrical parameter based on the loop electrical parameter data and the branch electrical parameter data may further include: calculating the loop voltage weighted value corresponding to the loop electrical parameter data and the branch voltage weighted value corresponding to each branch electrical parameter data based on the weighted parameters corresponding to the intelligent circuit breaker 10 and each electric energy meter respectively; obtaining a voltage weighted average value based on the loop voltage weighted value and each branch voltage weighted value, and taking the voltage weighted average value as the voltage characteristic quantity.

[0071] according to Figure 1From the positional relationship between the intelligent circuit breaker 10 and the electric energy meter shown in the figure, it can be known that the intelligent circuit breaker 10 and the electric energy meter are in a parallel relationship, so the voltage value of each branch should be equal to the voltage value of the loop. It can be understood that different devices may have different voltage measurement accuracy or measurement reliability. Therefore, in the embodiment of the present application, different weighting parameters can be configured for the device according to the reliability of the voltage measurement of each device. For a device with high measurement reliability, its weighting parameter can be larger, while for a device with low measurement reliability, its weighting parameter can be smaller.

[0072] For example, the weighted parameter of the intelligent circuit breaker is K a , the weighted parameter of the energy meter is K b , then the loop voltage weighted value V 总 =K a ×V a , branch voltage weighted value V 支 =K b ×V b , where V a is the loop voltage value, V b is the branch voltage value, and the loop voltage weighted value V 总 And the weighted value of each branch voltage V 支 The voltage weighted average value V obtained by taking the average value s It can be considered as a voltage characteristic quantity.

[0073] It can be understood that if there are multiple intelligent circuit breakers or multiple energy meters, the loop voltage weighted value V 总 =Σ(K a ×V a ), branch voltage weighted value V 支 =Σ(K b ×V b ).

[0074] In addition, if Figure 1 As shown, each power supply branch is also connected to an external circuit breaker, so a weighted parameter K can also be configured for the external circuit breaker. c , then the voltage weighted value of the external circuit breaker is V 外置 =K c ×V c , where V c is the voltage value collected by the external circuit breaker. In this scenario, the loop voltage can be weighted by V 总 , the weighted value of each branch voltage V 支 And the voltage weighted value V of each external circuit breaker 外置 Calculate the average value and take the obtained voltage as the weighted average value V s It is considered to be a voltage characteristic quantity.

[0075] The fault threshold corresponding to the voltage can be the voltage fault threshold V e Therefore, the voltage weighted average value V s After that, the voltage can be weighted averaged V s The target voltage value V is subtracted from the target voltage value V, where the target voltage value V can be any value among the loop voltage value collected by the intelligent circuit breaker 10, the branch voltage value collected by the electric energy meter, and the voltage value collected by the external circuit breaker; if the voltage weighted average value V s The absolute value of the difference between the target voltage value V and the voltage fault threshold V e , it can be determined that the target voltage value has a large deviation and is abnormal; otherwise, the target voltage value is measured normally. It can be understood that the voltage fault threshold V e It can be 5V, 10V, etc., and can be set based on past experience, multiple experiments or actual application scenarios, and is not limited here.

[0076] It can be understood that, similar to current detection, in another embodiment of the present application, the voltage measurement abnormal device can also be determined by injecting a set harmonic and detecting the feedback value.

[0077] Specifically, preset high-order voltage harmonics can be injected into each electric energy meter in turn, and the voltage measurement value collected by each electric energy meter and fed back by the electric energy meter can be obtained at the same time. Since the voltage value of the injected harmonic is known, the obtained voltage measurement value can be compared with the known voltage value of the harmonic.

[0078] Considering the possible voltage fluctuation, a preset maximum deviation value can be set. If the deviation between the obtained voltage measurement value and the known harmonic voltage value is greater than or equal to the preset maximum deviation value, it can be determined that the electric energy meter corresponding to the voltage measurement value has a voltage measurement abnormality; and if the deviation between the two is less than the preset maximum deviation value, it can be determined that the corresponding electric energy meter measures the voltage normally. It can be understood that the preset maximum deviation value can be set to 5V, 10V, etc., which can be determined according to the required measurement accuracy and specific application scenarios, and is not limited here.

[0079] In some embodiments of the present application, the type of electrical parameter may also include a phase angle, the loop electrical parameter data may include a loop phase angle value, the branch electrical parameter data may include a branch phase angle value, and the comparative characteristic quantity may include a phase angle characteristic quantity; obtaining the comparative characteristic quantity corresponding to the type of electrical parameter based on the loop electrical parameter data and the branch electrical parameter data may further include: calculating the loop phase angle weighted value corresponding to the loop electrical parameter data and the branch phase angle weighted value corresponding to each branch electrical parameter data based on the weighted parameters corresponding to the intelligent circuit breaker 10 and each electric energy meter respectively; obtaining a phase angle weighted average value based on the loop phase angle weighted value and the branch phase angle weighted value, and using the phase angle weighted average value as the phase angle characteristic quantity.

[0080] It can be understood that the phase angle corresponds to the voltage, so the detection method of the phase angle can refer to the detection method of the voltage described in the above embodiment. Similarly, different weighting parameters can be configured for the device according to the reliability of the phase angle measurement of each device. For a device with high measurement reliability, its weighting parameter can be larger, while for a device with low measurement reliability, its weighting parameter can be smaller.

[0081] For example, the weighted parameter of the intelligent circuit breaker is K A , the weighted parameter of the energy meter is K B , then the loop phase angle weighted value Φ 总 =K A ×Φ a , branch phase angle weighted value Φ 支 =K B ×Φ b , where Φ a is the loop phase angle value, Φ b is the branch phase angle value, and the loop phase angle weighted value Φ 总 And the phase angle weighted value of each branch Φ 支 The phase angle weighted average obtained by averaging is Φ s It can be considered as the phase angle characteristic.

[0082] It can be understood that if there are multiple intelligent circuit breakers or multiple energy meters, the loop phase angle weighted value Φ 总 =Σ(K A ×Φ a ), branch phase angle weighted value Φ 支 =Σ(K B ×Φ b ).

[0083] In addition, if Figure 1 As shown, each power supply branch is also connected to an external circuit breaker, so a weighted parameter K can also be configured for the external circuit breaker. C , then the phase angle weighted value of the external circuit breaker Φ 外置 =K C ×Φc , where Φ c is the phase angle value collected by the external circuit breaker. In this scenario, the loop phase angle weighted value Φ 总 , the phase angle weighted value of each branch Φ 支 And the phase angle weighted value Φ of each external circuit breaker 外置 Calculate the average value and take the obtained phase angle weighted average value Φ s It is considered to be a phase angle characteristic.

[0084] The fault threshold corresponding to the phase angle can be the phase angle fault threshold Φ e , so, in the obtained phase angle weighted average Φ s After that, the phase angle weighted average Φ s The target phase angle value Φ is subtracted from the target phase angle value Φ, where the target phase angle value Φ can be any value among the loop phase angle value collected by the intelligent circuit breaker 10, the branch phase angle value collected by the electric energy meter, and the phase angle value collected by the external circuit breaker; if the phase angle weighted average value Φ s The absolute value of the difference between the target phase angle value Φ and the phase angle fault threshold Φ e , it can be determined that the target phase angle value has a large deviation and is abnormal; otherwise, the target phase angle value measurement is normal. It can be understood that the phase angle fault threshold Φ e It can be 5°, 10°, etc., and can be set specifically based on past experience, multiple experiments or actual application scenarios, and is not limited here.

[0085] In some embodiments of the present application, the type of electrical parameter may also include power, the loop electrical parameter data may include a loop power value, the branch electrical parameter data may include a branch power value, and the comparative characteristic quantity may include a power characteristic quantity; based on the loop electrical parameter data and the branch electrical parameter data, the comparative characteristic quantity corresponding to the type of electrical parameter is obtained, which may further include: obtaining the total branch power value based on the sum of the power values ​​of each branch and a preset average power loss value; obtaining the power characteristic quantity based on the difference between the loop power value and the total branch power value.

[0086] according to Figure 1From the positional relationship between the intelligent circuit breaker 10 and the electric energy meter shown in the figure, it can be known that the sum of the power values ​​of each branch should be equal to the loop power value. In actual applications, the air switch / fuse 30, surge protector 40, leakage protector 50, switching power supply 60, intelligent lock 70 and other non-measuring devices and cables connected to the main power supply circuit may cause certain power losses. Therefore, in the embodiment of the present application, a preset power loss average value can also be configured for the intelligent circuit breaker 10. The preset power loss average value can be used to characterize the power loss of the circuit caused by cables, non-measuring devices, etc. in the terminal distribution box. Under normal circumstances, the power can be compensated by the preset power loss average value. Therefore, the total branch power value obtained by the sum of the power values ​​of each branch and the preset power loss average value can be considered to be close to the loop power value collected by the intelligent circuit breaker 10. The corresponding calculation formula is: P 支总 =ΣP 支 +P 损c , where P 支总 is the total branch power, P 支 is the branch power value, P 损c is the preset average value of power loss.

[0087] The calculation formula for comparing the comparative characteristic quantity with the fault threshold corresponding to the power can be: 功率 =P 总 -P 支总 , where P 功率 is the power characteristic quantity, P 总 is the circuit power value.

[0088] The fault threshold corresponding to power can be the power fault threshold P s Therefore, when obtaining the power characteristic quantity P 功率 After that, the power characteristic quantity P 功率 and power fault threshold P s If the power characteristic quantity P 功率 The absolute value of the power failure threshold P s , it can be considered that the power measurement is abnormal; otherwise, the power measurement is normal.

[0089] After determining that there is an abnormality in the power measurement, the method may further include: determining the cause of the abnormality and the abnormal device based on the current data, voltage data and phase angle data in the loop electrical parameter data and the branch electrical parameter data.

[0090] Since power is related to current, voltage and phase angle, after determining that the power measurement is abnormal, the specific abnormal data (such as voltage abnormality, current abnormality and / or phase angle abnormality) and abnormal equipment can be determined according to the detection method for current, voltage and phase angle described in the above-mentioned embodiments, which will not be repeated here.

[0091] In some embodiments of the present application, the total branch power value is obtained based on the sum of the power values ​​of each branch and the preset power loss average value. Before that, the method may further include: obtaining the instantaneous power loss value based on the difference between the loop power value and the total branch power value; wherein the total branch power value is the sum of the power values ​​of each branch; and calculating the preset power loss average value based on the instantaneous power loss value within a preset time length.

[0092] In the embodiment of the present application, the preset average power loss value can be determined in advance. For example, the intelligent circuit breaker 10 can determine the preset average power loss value each time it detects that the terminal distribution box is opened, so as to judge whether the subsequent power measurement is abnormal. This is because if a device without communication function is newly added to the terminal distribution box, the preset average power loss value may change. If the power is compensated based on the previous preset average power loss value, it may cause the detection result to be wrong, affecting the normal operation of the terminal distribution box.

[0093] In the embodiment of the present application, for each obtained difference between the loop power value and the branch total power value, the instantaneous power loss value corresponding to the measurement can be obtained, that is, the instantaneous power loss value P 损s =P 总 -ΣP 支 ; In order to improve the measurement accuracy, after multiple measurements within a preset time, the instantaneous power loss value P of multiple measurements can be calculated 损s The average value of the preset power loss P can be obtained. 损c .

[0094] Based on the foregoing embodiments, in some embodiments of the present application, the method may further include: when it is determined that there is an abnormality in the measurement of the electrical parameter, reporting abnormal data to the upper-level terminal to indicate the existence of the abnormality.

[0095] In an embodiment of the present application, the intelligent circuit breaker 10 can also be connected to a superior terminal, such as an operation and maintenance terminal, so that when it is determined based on the acquired data that there is an abnormality in the measurement of the electrical parameters, the abnormal data is reported to the superior terminal, and an early warning prompt is given for the abnormality, so that the operation and maintenance personnel can verify and handle the abnormality as soon as possible based on the prompt, ensure that the equipment can work normally, and improve the safety of the equipment.

[0096] It can be understood that the intelligent circuit breaker 10 can be connected to the upper terminal through any existing communication method, including but not limited to wired communication and wireless communication, such as wired communication based on physical wires such as optical fiber, coaxial cable, twisted pair, etc., and wireless communication based on WIFI, Bluetooth, 5G / 4G, Zigbee, etc. The specific method can be determined according to the actual application scenario and is not limited here.

[0097] In some embodiments of the present application, loop electrical parameter data of the main power supply circuit is collected, and branch electrical parameter data of the corresponding power supply branch collected by each electric energy meter is obtained. Before that, the method may further include: exchanging data with the main power supply circuit and the communicative devices on the power supply branch through the communication bus, and identifying the electric energy meters and non-measuring devices on the main power supply circuit and the power supply branch.

[0098] In an embodiment of the present application, before each detection, the intelligent circuit breaker 10 can first exchange data with all communicative devices in the terminal distribution box through a communication bus such as an RS485 bus, and classify and identify measuring devices such as electric energy meters on the main power supply circuit and power supply branches and non-measuring devices without metering functions by obtaining the device type of the communicative device. After identification, data is exchanged with the measuring device identified as the electric energy meter to obtain the electrical parameter data collected by it and perform electrical parameter measurement abnormality detection.

[0099] For example, after each unpacking, that is, the terminal distribution box is opened and closed, based on the unpacking record, the intelligent circuit breaker 10 sends a request for obtaining device information to the communicative devices on the bus one by one through the RS485 bus, and each communicative device can respond to the request by feeding back its own device information, such as device number, device type, device address, etc., to the intelligent circuit breaker 10 through the RS485 bus, so that the intelligent circuit breaker 10 can determine the type of the communicative device based on the received device information.

[0100] On the basis of the above embodiments, the embodiments of the present application further provide an intelligent circuit breaker, which includes a memory and a processor. The memory can be used to store a computer program. When the computer program is executed by the processor, it can be used to implement the following Figure 2 Corresponding to the steps of the electrical parameter measurement abnormality detection method in any embodiment.

[0101] Since the intelligent circuit breaker can achieve Figure 2 Corresponding to the steps of the electrical parameter measurement abnormality detection method in any embodiment, therefore, the present application can be implemented as follows Figure 2 For all the beneficial effects that can be achieved by the electrical parameter measurement anomaly detection method in any embodiment, please refer to the previous description in detail and will not be repeated here.

[0102] On the basis of the above embodiments, the embodiments of the present application further provide a terminal distribution box, in which an intelligent circuit breaker, an electric energy meter and a non-measuring device are arranged, wherein the intelligent circuit breaker is located on the main power supply circuit in the terminal distribution box, the electric energy meter is located on the power supply branch of the main power supply circuit, and the non-measuring device is located on the main power supply circuit and / or the power supply branch of the main power supply circuit; the intelligent circuit breaker can be connected to the electric energy meter in communication, and the intelligent circuit breaker can be used to implement the following Figure 2 The steps of the electrical parameter measurement abnormality detection method corresponding to any embodiment are used to determine whether the electrical parameter measurement is abnormal.

[0103] Since the intelligent circuit breaker in the terminal distribution box can achieve Figure 2 Corresponding to the steps of the electrical parameter measurement abnormality detection method in any embodiment, therefore, the present application can be implemented as follows Figure 2 For all the beneficial effects that can be achieved by the electrical parameter measurement anomaly detection method in any embodiment, please refer to the previous description in detail and will not be repeated here.

[0104] The above are only preferred embodiments of the present application and are not intended to limit the present application in any form. Although the present application has been disclosed as a preferred embodiment as above, it is not intended to limit the present application. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present application. However, any simple modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present application without departing from the content of the technical solution of the present application are still within the scope of the technical solution of the present application.

Claims

1. A method for detecting abnormality in electrical parameter measurement, characterized in that: Applied to an intelligent circuit breaker, the intelligent circuit breaker is located on a main power supply circuit in a terminal distribution box, the main power supply circuit is connected to a plurality of power supply branches, each of the power supply branches is provided with a corresponding electric energy meter, and the intelligent circuit breaker is communicatively connected with each of the electric energy meters; the method comprises: Collecting the loop electrical parameter data of the total power supply loop, and obtaining the branch electrical parameter data of the corresponding power supply branch collected by each of the electric energy meters; It is determined whether there is an abnormality in the measurement of the electrical parameter according to the type of the electrical parameter, the loop electrical parameter data, the branch electrical parameter data and a fault threshold corresponding to the type of the electrical parameter.

2. The method according to claim 1, characterized in that The determining whether there is an abnormality in the measurement of the electrical parameter according to the type of the electrical parameter, the loop electrical parameter data, the branch electrical parameter data and a fault threshold value corresponding to the type of the electrical parameter comprises: Obtaining a comparative feature quantity corresponding to the type of the electrical parameter according to the loop electrical parameter data and the branch electrical parameter data; According to the comparison feature quantity and the fault threshold, it is determined whether there is any abnormality in the measurement of the electrical parameter.

3. The method according to claim 2, characterized in that The type of the electrical parameter includes current, the loop electrical parameter data includes loop current value, the branch electrical parameter data includes branch current value, and the comparison feature quantity includes current feature quantity; The step of obtaining, according to the loop electrical parameter data and the branch electrical parameter data, a comparative feature quantity corresponding to the type of the electrical parameter comprises: Obtaining a total branch current value according to the sum of each branch current value and a preset loss current average value; The current characteristic quantity is obtained according to the difference between the loop current value and the total value of the branch current.

4. The method according to claim 3, characterized in that The fault threshold comprises a first current fault threshold; and determining whether there is an abnormality in the measurement of the electrical parameter according to the comparison feature quantity and the fault threshold comprises: If the absolute value of the current characteristic quantity is greater than or equal to the first current fault threshold, it is determined that there is an abnormality in the current measurement.

5. The method according to claim 4, characterized in that After determining that there is an abnormality in the current measurement, the method further includes: Injecting preset high-order current harmonics into each of the electric energy meters to obtain current measurement values ​​fed back by each of the electric energy meters; If the deviation between the target current measurement value and the injected preset higher-order current harmonic is greater than or equal to the preset deviation threshold, it is determined that the electric energy meter corresponding to the target current measurement value has a current measurement abnormality.

6. The method according to claim 3, characterized in that Before obtaining the total branch current value according to the sum of the branch current values ​​and the preset loss current average value, the method further includes: According to the difference between the loop current value and the total branch current value, an instantaneous loss current value is obtained; wherein the total branch current value is the sum of the current values ​​of each branch; The preset loss current average value is calculated based on the instantaneous loss current value within the preset time period.

7. The method according to claim 3, characterized in that The fault threshold includes a second current fault threshold. If the electric energy meter is equipped with an external circuit breaker, the method may further include: Obtaining a current detection value of the external circuit breaker; If the absolute value of the difference between the branch current value and the current detection value is greater than or equal to the second current fault threshold, it is determined that the electric energy meter has a current measurement abnormality.

8. The method according to claim 2, characterized in that: The type of the electrical parameter includes voltage, the loop electrical parameter data includes loop voltage value, the branch electrical parameter data includes branch voltage value, and the comparison feature quantity includes voltage feature quantity; The step of obtaining, according to the loop electrical parameter data and the branch electrical parameter data, a comparative feature quantity corresponding to the type of the electrical parameter comprises: Calculate the weighted value of the loop voltage corresponding to the loop electrical parameter data and the weighted value of the branch voltage corresponding to each branch electrical parameter data according to the weighted parameters corresponding to the intelligent circuit breaker and each electric energy meter respectively; A voltage weighted average value is obtained according to the loop voltage weighted value and the branch voltage weighted values, and the voltage weighted average value is used as the voltage characteristic quantity.

9. The method according to claim 8, characterized in that The fault threshold includes a voltage fault threshold; and determining whether there is an abnormality in the measurement of the electrical parameter according to the comparison feature quantity and the fault threshold includes: If the absolute value of the difference between the voltage weighted average value and the target voltage value is greater than or equal to the voltage fault threshold, it is determined that there is an abnormality in the target voltage value; wherein the target voltage value is the loop voltage value collected by the intelligent circuit breaker or the branch voltage value collected by the electric energy meter.

10. The method according to claim 2, characterized in that The type of the electrical parameter includes a phase angle, the loop electrical parameter data includes a loop phase angle value, the branch electrical parameter data includes a branch phase angle value, and the comparison feature includes a phase angle feature; The step of obtaining, according to the loop electrical parameter data and the branch electrical parameter data, a comparative feature quantity corresponding to the type of the electrical parameter comprises: Calculate the loop phase angle weighted value corresponding to the loop electrical parameter data and the branch phase angle weighted value corresponding to each branch electrical parameter data according to the weighted parameters corresponding to the intelligent circuit breaker and each electric energy meter respectively; A phase angle weighted average value is obtained according to the loop phase angle weighted value and each branch phase angle weighted value, and the phase angle weighted average value is used as the phase angle feature value.

11. The method according to claim 10, characterized in that The fault threshold includes a phase angle deviation threshold; and determining whether there is an abnormality in the measurement of the electrical parameter according to the comparison feature quantity and the fault threshold includes: If the absolute value of the difference between the weighted average value of the phase angle and the target phase angle value is greater than or equal to the phase angle deviation threshold, it is determined that there is an abnormality in the target phase angle value; wherein, the target phase angle value is the loop phase angle value collected by the intelligent circuit breaker or the branch phase angle value collected by the electric energy meter.

12. The method according to claim 2, characterized in that: The type of the electrical parameter includes power, the loop electrical parameter data includes loop power value, the branch electrical parameter data includes branch power value, and the comparison feature includes power feature; The step of obtaining, according to the loop electrical parameter data and the branch electrical parameter data, a comparative feature quantity corresponding to the type of the electrical parameter comprises: Obtaining a total branch power value according to the sum of each branch power value and a preset average power loss value; The power characteristic quantity is obtained according to the difference between the loop power value and the total branch power value.

13. The method according to claim 12, characterized in that The fault threshold includes a power fault threshold; and determining whether there is an abnormality in the measurement of the electrical parameter according to the comparison feature quantity and the fault threshold includes: If the absolute value of the power characteristic quantity is greater than or equal to the power fault threshold, it is determined that there is an abnormality in the power measurement; After determining that the power measurement is abnormal, the method further includes: The abnormal cause and abnormal equipment are determined based on the current data, voltage data and phase angle data in the loop electrical parameter data and the branch electrical parameter data.

14. The method according to claim 12, characterized in that Before obtaining the total branch power value according to the sum of the branch power values ​​and the preset average power loss value, the method further includes: According to the difference between the loop power value and the branch total power value, the instantaneous power loss value is obtained; wherein the branch total power value is the sum of the power values ​​of each branch; The preset power loss average value is calculated based on the instantaneous power loss value within the preset time period.

15. The method according to any one of claims 1 to 14, characterized in that The method further comprises: When it is determined that there is an abnormality in the measurement of the electrical parameter, the abnormal data is reported to the upper terminal to prompt the existence of the abnormality.

16. The method according to any one of claims 1 to 14, characterized in that Before collecting the loop electrical parameter data of the total power supply loop and obtaining the branch electrical parameter data of the corresponding power supply branch collected by each electric energy meter, the method further includes: Data is exchanged with the communicative devices on the main power supply circuit and the power supply branches through a communication bus to identify electric energy meters and non-measuring devices on the main power supply circuit and the power supply branches.

17. An intelligent circuit breaker, characterized in that: It comprises a memory and a processor, the memory is used to store a computer program, and when the computer program is executed by the processor, it is used to implement the steps of the electrical parameter measurement anomaly detection method according to any one of claims 1 to 16.

18. A terminal distribution box, characterized in that: The terminal distribution box is provided with an intelligent circuit breaker, an electric energy meter and non-measurement equipment, wherein the intelligent circuit breaker is located on the main power supply circuit in the terminal distribution box, the electric energy meter is located on the power supply branch of the main power supply circuit, and the non-measurement equipment is located on the main power supply circuit and / or the power supply branch of the main power supply circuit; The intelligent circuit breaker is communicatively connected with the electric energy meter, and the intelligent circuit breaker is used to implement the steps of the electric parameter measurement abnormality detection method described in any one of claims 1 to 16 to determine whether the electric parameter measurement is abnormal.

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