Real-time detection method and system based on residual-current circuit breaker

Abstract

The invention is suitable for the technical field of circuit breaker detection, and provides a real-time detection method and system based on residual-current circuit breakers, and the method comprises the steps: firstly obtaining the weight ratio data and real-time operation parameter data of each residual-current circuit breaker of a low-voltage power distribution system, and then carrying out the real-time detection of the residual-current circuit breakers according to the weight ratio data and the real-time operation parameter data. Determining aging parameter data of the residual-current circuit breaker, and finally generating life estimation data according to the aging parameter data. The operation parameters of the low-voltage power distribution system can be monitored and analyzed in real time, adjustment can be conveniently carried out according to needs, abnormal conditions can be detected more accurately, the labor cost is remarkably reduced, the residual-current circuit breaker can keep the optimal performance under various operation conditions, and risks caused by equipment faults or misoperation are greatly reduced.

Description

Technical Field

[0001] The present application relates to the technical field of circuit breaker detection, and in particular to a real-time detection method and system based on a leakage circuit breaker. Background Art

[0002] The low-voltage power distribution system is a system used to transmit electrical energy to different electrical equipment. After the electrical energy is reduced in voltage from the high-voltage power grid through a transformer, it is supplied to the power system used in the fields of construction, industry, agriculture, and life. The low-voltage power distribution system usually includes a residual current circuit breaker, which can prevent electric shock accidents, prevent electrical fires, and protect electrical equipment.

[0003] At present, operation and maintenance personnel need to spend a lot of time and energy to monitor the leakage circuit breakers in the low-voltage power distribution system, which leads to the problem of high labor costs and needs further improvement. Summary of the invention

[0004] Based on this, the embodiment of the present application provides a real-time detection method and system based on a leakage circuit breaker to solve the problem of high labor cost in the prior art.

[0005] In a first aspect, an embodiment of the present application provides a real-time detection method based on a leakage circuit breaker, the method comprising:

[0006] Obtain weight proportion data and real-time operating parameter data of each leakage circuit breaker in the low-voltage power distribution system, wherein the weight proportion data is the proportion of leakage circuit breakers of the same type in the entire low-voltage power distribution system, and the real-time operating parameter data includes voltage data, current data, temperature data and power factor data;

[0007] Determining aging parameter data of the leakage circuit breaker according to the weight proportion data and the real-time operation parameter data;

[0008] Life estimation data is generated based on the aging parameter data.

[0009] Compared with the prior art, the beneficial effects are: the real-time detection method based on leakage circuit breakers provided in the embodiment of the present application, the terminal device can first obtain the weight ratio data and real-time operating parameter data of each leakage circuit breaker of the low-voltage power distribution system, and then determine the aging parameter data of the leakage circuit breaker according to the weight ratio data and the real-time operating parameter data, and finally generate life estimation data according to the aging parameter data, so as to monitor and analyze the operating parameters of the low-voltage power distribution system in real time, facilitate adjustment according to needs, and detect abnormal situations more accurately, reduce labor costs, and to a certain extent solve the current problem of high labor costs.

[0010] In a second aspect, an embodiment of the present application provides a real-time detection system based on a leakage circuit breaker, the system comprising:

[0011] Real-time operation parameter data acquisition module: used to obtain weight proportion data and real-time operation parameter data of each leakage circuit breaker in the low-voltage power distribution system, wherein the weight proportion data is the proportion of leakage circuit breakers of the same type in the entire low-voltage power distribution system, and the real-time operation parameter data includes voltage data, current data, temperature data and power factor data;

[0012] An aging parameter data acquisition module is used to determine the aging parameter data of the leakage circuit breaker according to the weight proportion data and the real-time operation parameter data;

[0013] Life prediction data generation module: used to generate life prediction data according to the aging parameter data.

[0014] In a third aspect, an embodiment of the present application provides a terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method of the first aspect described above when executing the computer program.

[0015] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method of the first aspect described above are implemented.

[0016] It can be understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below.

[0018] Figure 1 It is a flowchart of a real-time detection method provided by an embodiment of the present application;

[0019] Figure 2 is a flow chart of step S100 in the real-time detection method provided in one embodiment of the present application;

[0020] Figure 3 It is a flowchart after step S100 in the real-time detection method provided in one embodiment of the present application;

[0021] Figure 4 is a flow chart of step S200 in the real-time detection method provided in one embodiment of the present application;

[0022] Figure 5 is a flow chart of step S300 in the real-time detection method provided in one embodiment of the present application;

[0023] Figure 6 It is a flowchart after step S300 in the real-time detection method provided in one embodiment of the present application;

[0024] Figure 7 is a module block diagram of a real-time detection system provided by an embodiment of the present application;

[0025] Figure 8 It is a schematic diagram of a terminal device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0026] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0027] In the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0028] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0029] In order to illustrate the technical solution described in this application, a specific embodiment is provided below for illustration.

[0030] See also Figure 1 , Figure 11 is a flow chart of a real-time detection method based on a leakage circuit breaker provided in an embodiment of the present application. In this embodiment, the execution subject of the real-time detection method is a terminal device. It is understandable that the types of terminal devices include but are not limited to mobile phones, tablet computers, laptop computers, ultra-mobile personal computers (Ultra-Mobile Personal Computer, UMPC), netbooks, personal digital assistants (Personal Digital Assistant, PDA), etc., and the embodiments of the present application do not impose any restrictions on the specific types of terminal devices.

[0031] See also Figure 1 The real-time detection method provided in the embodiment of the present application includes but is not limited to the following steps:

[0032] In S100, weight ratio data and real-time operation parameter data of each leakage circuit breaker in the low-voltage power distribution system are obtained.

[0033] Specifically, the terminal device can first obtain the weight proportion data of each leakage circuit breaker in the low-voltage power distribution system, and then obtain the real-time operating parameter data of each leakage circuit breaker in the low-voltage power distribution system, wherein the weight proportion data is the proportion of the same type of leakage circuit breakers in the entire low-voltage power distribution system, and the real-time operating parameter data includes voltage data, current data, temperature data and power factor data.

[0034] In some possible implementations, in order to obtain weight ratio data and real-time operation parameter data, please refer to Figure 2 Step S100 includes but is not limited to the following steps:

[0035] In S110, type data of each leakage circuit breaker is determined according to preset function data of the leakage circuit breaker.

[0036] Specifically, the terminal device may set type data of multiple leakage circuit breakers in advance, and match the preset function data of the leakage circuit breakers according to the preset function data of the leakage circuit breakers to determine the type data of each leakage circuit breaker.

[0037] Without loss of generality, the terminal device can set the type of leakage circuit breaker according to the function or characteristics of the leakage circuit breaker, which can be divided into electronic leakage circuit breaker, electromagnetic leakage circuit breaker or self-resetting leakage circuit breaker.

[0038] In S120, weight proportion data of each residual current circuit breaker is determined according to the type data.

[0039] Specifically, the terminal device may determine the weight ratio data of different types of leakage circuit breakers to all leakage circuit breakers according to the different types of data of each leakage circuit breaker.

[0040] In S130, first voltage data, first current data and first temperature data of each residual current circuit breaker are collected according to the type data.

[0041] Specifically, the terminal device can collect the first voltage data, first current data and first temperature data of each leakage circuit breaker, and classify the data according to the type data of each leakage circuit breaker. At the same time, it can calculate the active power data based on the first voltage data and the first current data, and then determine the reactive power of the leakage circuit breaker.

[0042] Exemplarily, the calculation formula of reactive power is: Where Q is reactive power, P is e is the active power, The power factor is calculated, and the first current data can also be calculated according to the voltage and the active power;

[0043] Exemplarily, the calculation formula of the first current data is: Where P e is the active power, U is the first voltage data, is the power factor, and I is the first current data.

[0044] In S140 , voltage correction data, current correction data, and temperature correction data are acquired according to the first voltage data, the first current data, and the first temperature data.

[0045] Specifically, the terminal device can determine the voltage correction factor, current correction factor and temperature correction factor according to the type data of the leakage circuit breaker, the first voltage data, the first current data and the first temperature data, and then determine the voltage correction data, the current correction data and the temperature correction data.

[0046] Exemplarily, the terminal device can calculate the voltage correction factor by first determining the total voltage standard deviation of the voltage of the leakage circuit breaker of the same type of data at that time point, and determining the detection voltage standard deviation of the voltage of the detected leakage circuit breaker in the total detection time, determining the total detection time as the total detection amount, and the maximum first voltage data as the maximum voltage data, and finally calculating the voltage correction factor.

[0047] Specifically, the voltage correction factor is calculated as: The calculation formula of voltage correction data is: U = (U1-U0) × α,

[0048] In the formula, U is the voltage correction data, U1 is the first voltage data, U0 is the standard voltage data, and α is the voltage correction factor. To calculate the current correction factor, it is necessary to first determine the total current standard deviation of the current of the leakage circuit breaker of the same type of data at that time point, and determine the detection current standard deviation of the current of the detected leakage circuit breaker in the total detection time, determine the total detection time as the total detection amount, and the maximum first current data as the maximum current data, and finally calculate the current correction factor.

[0049] The calculation formula of the current correction factor is: The calculation formula of the current correction data is I=(I1-I0)×β, where I is the current correction data, I1 is the first current data, I0 is the standard current data, and β is the current correction factor.

[0050] In S150, power factor data is acquired based on the voltage correction data and the current correction data.

[0051] Specifically, the terminal device can calculate the active power, reactive power and active power according to the voltage correction data and the current correction data, and then calculate the power factor data, wherein the calculation formula of the power factor data is: The calculation formula of active power is: P js =K x +P s , where P js is the active power, K x is the coefficient, P s is the total capacity of the leakage circuit breaker.

[0052] In S160, real-time operation parameter data is determined according to the voltage correction data, the current correction data, the temperature correction data and the power factor data.

[0053] Specifically, the terminal device may determine the voltage correction data, the current correction data, the temperature correction data and the power factor data as the real-time operation parameter data of the leakage circuit breaker.

[0054] In some possible implementations, in order to facilitate timely adjustment of maintenance strategies, please refer to Figure 3 After step S100, the method further includes but is not limited to the following steps:

[0055] In S101, historical operating parameter data of each residual current circuit breaker is obtained.

[0056] Specifically, the terminal device may determine the historical operating parameter data according to the operating parameter data historically acquired from each residual current circuit breaker.

[0057] In S102, historical power-on data is determined based on historical operating parameter data.

[0058] Specifically, the terminal device can calculate the power supplied by the upper-level leakage circuit breaker and the power sent to the lower-level leakage circuit breaker according to the historical operating parameter data of each leakage circuit breaker, thereby determining the historical power-on data.

[0059] In S103, the operating status data of the low-voltage power distribution system is determined according to the real-time operating parameter data.

[0060] Specifically, the terminal device can determine the system's operating status data based on the real-time operating parameter data of each leakage circuit breaker, where the operating status data is the working mode of the low-voltage power distribution system, and the working modes include single-circuit power supply mode, dual-circuit power supply mode and three-circuit power supply mode.

[0061] In S104, actual power distribution data of each residual current circuit breaker is determined according to the operation status data.

[0062] Specifically, the terminal device can determine the actual power distribution data of each leakage circuit breaker according to the operating status data and the real-time operating parameter data.

[0063] In S105, estimated adjustment strategy data of the leakage circuit breaker is generated according to the historical power-on data and the actual power distribution data.

[0064] Specifically, the terminal device can compare the historical power-on data with the actual power distribution data, obtain the change rate of the historical power-on data, and determine whether the change rate is within a preset threshold range. If the change rate is not within the preset threshold range, it is necessary to determine the expected adjustment strategy data according to the historical power-on data and the actual power distribution data. If the change rate is within the preset threshold range, there is no need to generate the expected adjustment strategy data.

[0065] In S200, aging parameter data of the residual current circuit breaker is determined according to the weight proportion data and the real-time operation parameter data.

[0066] Specifically, the terminal device can obtain the real-time operating parameter data of the same type of leakage circuit breakers according to the weight ratio data, and determine the aging parameter data of each leakage circuit breaker.

[0067] In some possible implementations, in order to determine the aging parameter data of the residual current circuit breaker, refer to Figure 4 Step S200 includes but is not limited to the following steps:

[0068] In S210, weight arrangement data is determined according to the weight proportion data.

[0069] Specifically, the terminal device may perform weight ranking of leakage circuit breakers of the same type according to the weight ratio data of the leakage circuit breakers, and determine the weight ranking data.

[0070] In S220 , aging parameter data is determined according to the weight arrangement data and the real-time operation parameter data.

[0071] Specifically, the terminal device may arrange the data according to the weights of the same type of leakage circuit breakers, calculate the aging parameters of the leakage circuit breakers according to the real-time operation parameter data, and determine the aging parameter data.

[0072] In S300, life estimation data is generated according to the aging parameter data.

[0073] Specifically, the terminal device can calculate and analyze the aging parameter data according to the aging parameter data of each leakage circuit breaker, and generate life estimation data.

[0074] In some possible implementations, in order to automatically generate life estimation data and reduce labor costs, please refer to Figure 5 Step S300 includes but is not limited to the following steps:

[0075] In S310, it is determined whether the aging parameter data is within a preset aging data range according to the aging parameter data and the preset aging data.

[0076] Specifically, the terminal device may compare the aging parameter data with the preset aging data according to the aging parameter data and the preset aging data, and determine whether the aging parameter data is within the preset aging data range.

[0077] In S320, if the aging parameter data is within the preset aging data range, the low-voltage power distribution system is in a normal working state, and the aging parameter data is sent to the display terminal.

[0078] Specifically, if the aging parameter data is within the preset aging data range, that is, the aging degree of the detection system is within the preset aging degree, it is a normal working state, and the terminal device can send the aging parameter data of the detection system to the display terminal.

[0079] In S330, if the aging parameter data is outside the preset aging data range, it is determined that the low-voltage power distribution system is in an abnormal working state, and the aging parameter data is sent to the maintenance terminal.

[0080] Specifically, if the aging parameter data is outside the preset aging data range, that is, the aging degree of the detection system is outside the preset aging degree and is not in a normal working state, it is determined that the system is working abnormally and needs to be repaired. The terminal device can send the aging parameter data to the maintenance terminal.

[0081] In some possible implementations, to facilitate the determination of repair solutions, please refer to Figure 6After step S330, the method further includes but is not limited to the following steps:

[0082] In S400, abnormal operation data of the low-voltage power distribution system is obtained according to the real-time operation parameter data.

[0083] Specifically, the terminal device can obtain historical operating parameter data of the same type of residual current circuit breakers, determine abnormal operating parameter data based on the historical operating parameter data and real-time operating parameter data, and thus determine abnormal data indicating abnormal system operation.

[0084] In S410, maintenance plan data is determined according to the abnormal working data and the preset normal data.

[0085] Specifically, the terminal device can determine the difference data according to the preset normal data and abnormal data, and determine the most appropriate maintenance plan data according to the difference data and multiple preset maintenance methods.

[0086] The implementation principle of the real-time detection method of the leakage circuit breaker in the embodiment of the present application is as follows: the terminal device can first obtain the weight ratio data and real-time operating parameter data of each leakage circuit breaker of the low-voltage power distribution system, and then determine the aging parameter data of the leakage circuit breaker according to the weight ratio data and the real-time operating parameter data, and finally generate life estimation data according to the aging parameter data, so as to monitor and analyze the operating parameters of the low-voltage power distribution system in real time, make adjustments as needed, detect abnormal situations more accurately, and reduce labor costs.

[0087] It should be noted that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0088] The embodiment of the present application also provides a real-time detection system based on a leakage circuit breaker. For ease of description, only the parts related to the present application are shown, such as Figure 7 As shown, the system 70 includes:

[0089] Real-time operation parameter data acquisition module 71: used to obtain weight proportion data and real-time operation parameter data of each leakage circuit breaker in the low-voltage power distribution system, wherein the weight proportion data is the proportion of leakage circuit breakers of the same type in the entire low-voltage power distribution system, and the real-time operation parameter data includes voltage data, current data, temperature data and power factor data;

[0090] Aging parameter data acquisition module 72: used to determine the aging parameter data of the leakage circuit breaker according to the weight proportion data and the real-time operation parameter data;

[0091] The life estimation data generating module 73 is used to generate life estimation data according to the aging parameter data.

[0092] Optionally, the real-time operation parameter data acquisition module 71 includes:

[0093] Type data determination submodule: used to determine the type data of each leakage circuit breaker according to the preset function data of the leakage circuit breaker;

[0094] Proportion data determination submodule: used to determine the weight proportion data of each leakage circuit breaker according to the type data;

[0095] Data acquisition submodule: used for collecting first voltage data, first current data and first temperature data of each leakage circuit breaker according to the type data;

[0096] Correction data acquisition submodule: used to acquire voltage correction data, current correction data and temperature correction data according to the first voltage data, the first current data and the first temperature data;

[0097] Power factor data acquisition submodule: used to acquire power factor data according to voltage correction data and current correction data;

[0098] Real-time operation parameter data determination submodule: used to determine real-time operation parameter data according to voltage correction data, current correction data, temperature correction data and power factor data.

[0099] Optionally, the system 70 further includes:

[0100] Historical operating parameter data acquisition module: used to obtain historical operating parameter data of each leakage circuit breaker;

[0101] Historical power-on data determination module: used to determine historical power-on data based on historical operating parameter data;

[0102] Operation status data determination module: used to determine the operation status data of the low-voltage power distribution system according to the real-time operation parameter data;

[0103] Actual power distribution data determination module: used to determine the actual power distribution data of each leakage circuit breaker according to the operating status data;

[0104] Estimated adjustment strategy data generation module: used to generate estimated adjustment strategy data for leakage circuit breakers based on historical power-on data and actual power distribution data.

[0105] Optionally, the aging parameter data acquisition module 72 includes:

[0106] Weighted arrangement data determination submodule: used to determine weighted arrangement data according to weight proportion data;

[0107] Aging parameter data determination submodule: used to determine aging parameter data according to weight arrangement data and real-time operation parameter data.

[0108] Optionally, the life estimation data generating module 73 includes:

[0109] Aging parameter data judgment submodule: used to judge whether the aging parameter data is within the preset aging data range according to the aging parameter data and the preset aging data;

[0110] Normal working state determination submodule: used for determining that if the aging parameter data is within the preset aging data range, the low-voltage power distribution system is in a normal working state, and the aging parameter data is sent to the display terminal;

[0111] Abnormal working state determination submodule: used to determine that the low-voltage power distribution system is in an abnormal working state if the aging parameter data is outside the preset aging data range, and send the aging parameter data to the maintenance terminal.

[0112] Optionally, the system 70 further includes:

[0113] Abnormal working data acquisition module: used to obtain abnormal working data of low-voltage power distribution system according to real-time operating parameter data;

[0114] Maintenance plan data determination module: used to determine the maintenance plan data based on abnormal working data and preset normal data.

[0115] It should be noted that the information interaction, execution process and other contents between the above-mentioned modules are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0116] The present application also provides a terminal device, such as Figure 8 As shown, the terminal device 80 of this embodiment includes: a processor 81, a memory 82, and a computer program 83 stored in the memory 82 and executable on the processor 81. When the processor 81 executes the computer program 83, the steps in the above-mentioned real-time detection method embodiment are implemented, for example Figure 1 Steps S100 to S300 shown; or, when the processor 81 executes the computer program 83, the functions of each module in the above device are realized, for example Figure 7 The functions of modules 71 to 73 are shown.

[0117] The terminal device 80 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server, and the terminal device 80 includes but is not limited to a processor 81 and a memory 82. Those skilled in the art will appreciate that Figure 8It is only an example of the terminal device 80 and does not constitute a limitation of the terminal device 80. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the terminal device 80 may also include input and output devices, network access devices, buses, etc.

[0118] Among them, the processor 81 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.; the general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0119] The memory 82 may be an internal storage unit of the terminal device 80, such as a hard disk or memory of the terminal device 80, or the memory 82 may be an external storage device of the terminal device 80, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the terminal device 80; further, the memory 82 may also include both an internal storage unit and an external storage device of the terminal device 80, and the memory 82 may also store a computer program 83 and other programs and data required by the terminal device 80, and the memory 82 may also be used to temporarily store data that has been output or is to be output.

[0120] One embodiment of the present application also provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the steps of each of the above method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc.; the computer-readable medium may include: any entity or device that can carry computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0121] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, all equivalent changes made according to the methods, principles, and structures of the present application should be included in the protection scope of the present application.

Claims

1. A real-time detection method based on leakage circuit breaker, It is characterized in that The method comprises: Obtain weight proportion data and real-time operating parameter data of each leakage circuit breaker in the low-voltage power distribution system, wherein the weight proportion data is the proportion of leakage circuit breakers of the same type in the entire low-voltage power distribution system, and the real-time operating parameter data includes voltage data, current data, temperature data and power factor data; Determining aging parameter data of the leakage circuit breaker according to the weight proportion data and the real-time operation parameter data; Life estimation data is generated based on the aging parameter data.

2. The method according to claim 1, It is characterized in that The obtaining of weight proportion data and real-time operation parameter data of each leakage circuit breaker of the low-voltage power distribution system includes: Determine the type data of each leakage circuit breaker according to the preset function data of the leakage circuit breaker; Determine the weight ratio data of each leakage circuit breaker according to the type data; According to the type data, collecting first voltage data, first current data and first temperature data of each leakage circuit breaker; acquiring voltage correction data, current correction data and temperature correction data according to the first voltage data, the first current data and the first temperature data; Acquiring the power factor data according to the voltage correction data and the current correction data; The real-time operation parameter data is determined according to the voltage correction data, the current correction data, the temperature correction data and the power factor data.

3. The method according to claim 1, It is characterized in that After obtaining the weight ratio data and real-time operation parameter data of each leakage circuit breaker in the low-voltage power distribution system, the method further includes: Obtaining historical operating parameter data of each leakage circuit breaker; Determining historical power-on data according to the historical operating parameter data; Determining the operating status data of the low-voltage power distribution system according to the real-time operating parameter data; Determining actual power distribution data of each leakage circuit breaker according to the operating status data; According to the historical power-on data and the actual power distribution data, the estimated adjustment strategy data of the residual current circuit breaker is generated.

4. The method according to claim 1, It is characterized in that The step of determining the aging parameter data of the leakage circuit breaker according to the weight proportion data and the real-time operation parameter data includes: Determine weight arrangement data according to the weight proportion data; The aging parameter data is determined according to the weight arrangement data and the real-time operation parameter data.

5. The method according to claim 1, It is characterized in that Generating life estimation data according to the aging parameter data includes: According to the aging parameter data and the preset aging data, determining whether the aging parameter data is within the preset aging data range; If the aging parameter data is within the preset aging data range, the low-voltage power distribution system is in a normal working state, and the aging parameter data is sent to the display terminal; If the aging parameter data is outside the preset aging data range, it is determined that the low-voltage power distribution system is in an abnormal working state, and the aging parameter data is sent to a maintenance terminal.

6. The method according to claim 5, It is characterized in that After determining that the low-voltage power distribution system is in an abnormal working state if the aging parameter data is outside the preset aging data range and sending the aging parameter data to a maintenance terminal, the method further includes: Acquiring abnormal operation data of the low-voltage power distribution system according to the real-time operation parameter data; The maintenance plan data is determined according to the abnormal working data and the preset normal data.

7. A real-time detection system based on leakage circuit breaker, It is characterized in that The system comprises: Real-time operation parameter data acquisition module: used to obtain weight proportion data and real-time operation parameter data of each leakage circuit breaker in the low-voltage power distribution system, wherein the weight proportion data is the proportion of leakage circuit breakers of the same type in the entire low-voltage power distribution system, and the real-time operation parameter data includes voltage data, current data, temperature data and power factor data; An aging parameter data acquisition module is used to determine the aging parameter data of the leakage circuit breaker according to the weight proportion data and the real-time operation parameter data; Life prediction data generation module: used to generate life prediction data according to the aging parameter data.

8. The system according to claim 7, It is characterized in that The real-time operation parameter data acquisition module includes: Type data determination submodule: used to determine the type data of each leakage circuit breaker according to the preset function data of the leakage circuit breaker; A proportion data determination submodule: used to determine the weight proportion data of each leakage circuit breaker according to the type data; A data acquisition submodule: used for acquiring first voltage data, first current data and first temperature data of each leakage circuit breaker according to the type data; A correction data acquisition submodule: used for acquiring voltage correction data, current correction data and temperature correction data according to the first voltage data, the first current data and the first temperature data; A power factor data acquisition submodule: used to acquire the power factor data according to the voltage correction data and the current correction data; Real-time operation parameter data determination submodule: used to determine the real-time operation parameter data according to the voltage correction data, the current correction data, the temperature correction data and the power factor data.

9. A terminal device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, It is characterized in that When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium storing a computer program. It is characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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