Fault detection and self-healing method for polymorphic fusion low-voltage intelligent switch

Abstract

The invention relates to the technical field of low-voltage line protection, in particular to a fault detection and self-healing method for a polymorphic fusion low-voltage intelligent switch, and the method comprises the steps: deploying the low-voltage intelligent switch on a low-voltage line, monitoring the electrical parameters of the low-voltage circuit through the low-voltage intelligent switch, and recording the electrical parameter data before and after the fault of the low-voltage line; establishing data connection between the low-voltage intelligent switch and the fault monitoring APP, and transmitting the line electrical parameters to the fault monitoring APP; the fault monitoring APP processes the received electrical parameter data and predicts a line fault, and locates the low-voltage intelligent switch according to the identification ID, thereby facilitating the power maintenance personnel to remove the fault; the sampling frequency of the electrical parameter data of the low-voltage intelligent switch is set through the fault monitoring APP, and after the fault is removed, the line is actively recovered according to the automatically collected electrical parameter data.

Description

Technical Field

[0001] The present invention relates to the technical field of low-voltage line protection, and in particular to a fault detection and self-healing method for a polymorphic fusion low-voltage intelligent switch. Background Art

[0002] At present, the technology of distribution transformer substation mainly focuses on the technical requirements of the head-end transformer and the terminal electric energy meter. However, the information requirements for the middle layer of the substation, that is, the distribution lines, are still insufficient.

[0003] In addition, the terminal switchgear on the main outgoing line side of the substation currently only has basic overcurrent tripping protection functions and lacks the ability to monitor electrical parameters in real time and record fault waveforms. This limitation not only increases the difficulty of fault analysis, but also makes it a challenge to monitor the grid-connected power quality parameters of energy storage power stations, charging piles and new energy power stations. Summary of the invention

[0004] The present invention can accurately capture and record the changes in electrical parameters in the critical period before and after the fault occurs, thereby providing strong data support for subsequent fault analysis. The voltage monitoring model and the current monitoring model are used to monitor the line, predict the fault, and timely control the action of the low-voltage intelligent switch.

[0005] The technical solution provided by the present invention is: a fault detection and self-healing method of a polymorphic fusion low-voltage intelligent switch, the method comprising: Deploy low-voltage intelligent switches on low-voltage lines, monitor the electrical parameters of low-voltage circuits through low-voltage intelligent switches, and record the electrical parameter data before and after low-voltage line faults; Establish data connection between low-voltage intelligent switch and fault monitoring APP, and transmit line electrical parameters to the fault monitoring APP; The fault monitoring APP processes the received electrical parameter data and predicts line faults, locating the low-voltage smart switch based on the identification ID, making it easier for power maintenance personnel to troubleshoot; The sampling frequency of the electrical parameter data of the low-voltage intelligent switch can be set through the fault monitoring APP. After the fault is eliminated, the line can be actively restored based on the automatically collected electrical parameter data; The low-voltage intelligent switch includes a main control module and a power module, a metering module, a communication module, and a separation and combination control module connected to the main control module; The fault monitoring APP stores an identification ID that matches each low-voltage intelligent switch, and the sampling frequency includes a current sampling frequency f1 and a voltage sampling frequency f2.

[0006] Preferably, the main control module includes a main control chip and an electric shock main control chip connected to the main control chip, a memory and several wave recording main control chips; the metering module includes a metering chip and a voltage sampling circuit and a current sampling circuit connected to the metering chip, and the wave recording main control chip is used to control the voltage sampling circuit and the current sampling circuit to collect the voltage and current data of the circuit.

[0007] Preferably, the step of monitoring the electrical parameters of the low-voltage circuit by means of the low-voltage intelligent switch and recording the electrical parameter data before and after the low-voltage line fault comprises the following steps: Collect voltage and current data of the low voltage circuit through a voltage collection circuit and a current collection circuit; The input voltage and current data are processed by the metering chip to obtain the current value and the voltage value; The acquisition time of the voltage acquisition circuit and the current acquisition circuit is controlled by the wave recording main control chip; the acquisition time includes the acquisition start time point T1 and the acquisition end time point T2; The main control chip generates a RAM address uniquely corresponding to the identification ID according to the stored identification ID, and stores the collected current and voltage waveform data in a storage area corresponding to the RAM address in the memory.

[0008] Preferably, establishing a data connection between the low-voltage intelligent switch and the fault monitoring APP and transmitting the circuit electrical parameters to the fault monitoring APP includes the following steps: Establish data connection between the communication module and the fault monitoring APP through the preset communication protocol; The main control chip retrieves the collected voltage and current waveform data from the memory; The voltage and current waveform data and the corresponding identification ID are sent to the fault monitoring APP through the communication module.

[0009] Preferably, the fault monitoring APP processes the received electrical parameter data and predicts the cause of the line fault, including: Reading voltage and current waveform data and corresponding identification IDs, extracting voltage characteristic values ​​and current characteristic values, and respectively forming a voltage characteristic value set and a current characteristic value set corresponding to the identification IDs; The current characteristic value includes one or more of a maximum current value, a minimum current value, an average current value and a current frequency; The voltage characteristic value includes one or more of a maximum voltage value, a minimum voltage value, an average voltage value and a voltage frequency; The elements in the voltage characteristic value set are preprocessed and normalized and then input into the preset voltage monitoring model as input variables to output the voltage prediction value at a future moment; The elements in the current characteristic value set are preprocessed and normalized and then input into the preset current monitoring model as input variables, and the current prediction value at a future moment is output; The voltage prediction value and the current prediction value are analyzed, and the fault monitoring APP outputs a control instruction according to the analysis result to control the opening and closing action of the low-voltage intelligent switch; and feeds back the state value of the low-voltage intelligent switch, which is 0 or 1.

[0010] Preferably, the elements in the voltage characteristic value set are preprocessed and normalized and then inputted into a preset voltage monitoring model as input variables to output a voltage prediction value at a future moment, specifically including: The elements in the voltage feature set are preprocessed and normalized, and combined with the identification ID, a voltage monitoring feature set corresponding to the identification ID is generated: ; Assume the voltage monitoring model is: ,in, is the intercept, Indicates regression coefficients, is the error term, ; Will are input into the voltage monitoring model and the output Indicates the predicted value of voltage at a future moment; The elements in the current characteristic value set are preprocessed and normalized as input variables into a preset current monitoring model to output a current prediction value at a future moment, including: The elements in the current feature set are preprocessed and normalized, and combined with the identification ID, a current monitoring feature set corresponding to the identification ID is generated: ; Respectively represent the maximum current value, minimum current value, average current value and current frequency after preprocessing and normalization; Assume the current monitoring model is: ,in, is the intercept, Indicates regression coefficients, is the error term, ; Will are input into the voltage monitoring model and the output Indicates the predicted value of the current at a future moment.

[0011] Preferably, the voltage prediction value and the current prediction value are analyzed, and the fault monitoring APP outputs a control instruction according to the analysis result to control the opening and closing action of the low-voltage intelligent switch, including: Set voltage action threshold and current action threshold ; Obtain the state value of the low-voltage intelligent switch corresponding to the identification ID, where a state value of 1 indicates that the corresponding low-voltage intelligent switch is in a closed state, and a state value of 0 indicates that the corresponding low-voltage intelligent switch is in an open state; If the status value is 1 and or The fault monitoring APP generates a disconnection control instruction and sends the disconnection control instruction to the low-voltage intelligent switch corresponding to the identification ID. The main control chip in the low-voltage intelligent switch analyzes the disconnection control instruction and drives the separation and combination control module to perform the disconnection action; wherein, They are voltage threshold correction variable and current threshold correction variable respectively; If the status value is 0 and and The fault monitoring APP generates a closing control command and sends the closing control command to the low-voltage intelligent switch corresponding to the identification ID. The main control chip in the low-voltage intelligent switch parses the disconnection control command and drives the separation and closing control module to execute the closing action.

[0012] If the status value is 1 and and , the circuit is judged to be normal, and the fault monitoring APP does not send control instructions; If the status value is 0 and or , it is determined that the low-voltage intelligent switch has a fault of no normal feedback state value or no normal disconnection, and the fault monitoring APP generates switch fault alarm information, and the switch alarm information includes the identification ID of the faulty low-voltage intelligent switch.

[0013] Preferably, the sampling frequency of the electrical parameter data of the low-voltage intelligent switch is set through the fault monitoring APP, and after the fault is eliminated, the line is actively restored according to the automatically collected electrical parameter data, including: Get the status value; Determine whether the status value is 0; If the status value is 0, then: The fault monitoring APP calls the pre-stored f1 and f2, and sends f1 and f2 to the low-voltage smart switch; The main control chip sends f1 and f2 to the wave recording chip, and the wave recording chip controls the voltage sampling circuit and the current sampling circuit to sample the line according to f1 and f2; Get multiple voltage values ​​through the metering chip and current value , and feed it back to the main control chip, which will collect the voltage value and current value Respectively with the preset normal current value and normal voltage value Compare; if and , if the circuit current and voltage are normal, a closing command is generated to drive the opening and closing control module to perform the closing operation, where: and are the current correction constant and the voltage correction constant respectively, , ; If the status value is 1, go to the step of obtaining the status value.

[0014] The present invention also provides an electronic device, which is used to execute the fault detection and self-healing method of the polymorphic fusion low-voltage intelligent switch.

[0015] The present invention also provides a computer-readable storage medium, which stores a computer program. The computer program is executed by a processor to implement the fault detection and self-healing method of a polymorphic fusion low-voltage intelligent switch.

[0016] Beneficial effects of the present invention: 1. The present invention installs a low-voltage intelligent switch on a low-voltage line at a key node, so that it can monitor the electrical parameters such as current and voltage flowing through the circuit. The intelligent switch continuously monitors and records the electrical parameter data before and after normal operation and faults, so as to perform fault analysis. The intelligent switch is connected to the fault monitoring APP, and the monitored electrical parameters are uploaded to the fault monitoring APP in real time or at a fixed time. The fault monitoring APP processes and analyzes the uploaded electrical parameter data, diagnoses the cause of the fault, and determines the specific location of the fault according to the unique identification ID of each intelligent switch, and notifies the power maintenance personnel of the fault point and cause, so that they can quickly and accurately perform troubleshooting. After troubleshooting, the automatically collected electrical parameter data is used to evaluate whether the power supply can be safely restored, and the intelligent switch is controlled by the fault monitoring APP to actively restore the line operation, thereby realizing efficient and automated management of the low-voltage power grid, reducing manual intervention, and improving the reliability and self-healing ability of the power grid.

[0017] 2. The present invention can predict that a fault will occur in the line where the low-voltage intelligent switch is located at a future time t. The wave recording control module controls the voltage acquisition circuit and the current acquisition circuit to collect the voltage waveform and the current waveform in the time period from t-1s to t+1s, that is, the waveform data within 2 seconds before and after the fault time point. The collected waveform data is stored in the memory in the low-voltage intelligent switch to realize the function of fault recording. In addition, the main control chip sends f1 and f2 to the wave recording chip, and the wave recording chip controls the voltage sampling circuit and the current sampling circuit to sample the line according to f1 and f2 to realize the function of triggering the wave recording.

[0018] 3. The present invention obtains multiple voltage values ​​through a metering chip and current value , and feed it back to the main control chip, which will collect the voltage value and current value Respectively with the preset normal current value and normal voltage value Compare; if it is judged that the circuit current and voltage are normal, a closing command is generated to drive the separation and closing control module to perform the closing operation and restore power to the line where the fault is eliminated.

[0019] 4. In the present invention, if it is determined that the low-voltage intelligent switch has a fault without normal feedback status value or normal disconnection, the fault monitoring APP generates switch fault alarm information, which includes the identification ID of the faulty low-voltage intelligent switch, and sends a reset instruction to the low-voltage intelligent switch. The main control chip of the low-voltage intelligent switch receives and parses the reset instruction, and then performs a reset operation. After the reset, the switch will try to disconnect again and feedback the new status value to the fault monitoring APP. After receiving the feedback status value, the fault monitoring APP will verify whether the low-voltage intelligent switch has resumed normal working state. If yes, cancel the alarm; if not, perform manual intervention or repair. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is a schematic diagram of the connection of the low-voltage intelligent switch components of the present invention; Figure 2 Flow chart of the method of the present invention. DETAILED DESCRIPTION

[0021] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art can think of other obvious variations. The basic principles of the present invention defined in the following description can be applied to other embodiments, variations, improvements, equivalents, and other technical solutions that do not deviate from the spirit and scope of the present invention.

[0022] It is to be understood that the term "one" should be understood as "at least one" or "one or more", that is, in one embodiment, the number of an element may be one, while in another embodiment, the number of the element may be multiple, and the term "one" should not be understood as a limitation on the quantity.

[0023] Reference Figure 1 The present invention provides a low-voltage intelligent switch, which is composed of a main control module and a power module, a metering module, a communication module, and a separation and combination control module connected to the main control module. The main control module includes a main control chip and an electric shock main control chip connected to the main control chip, a memory, and several wave recording main control chips; the metering module includes a metering chip and a voltage sampling circuit and a current sampling circuit connected to the metering chip, and the wave recording main control chip is used to control the voltage sampling circuit and the current sampling circuit to collect the voltage and current data of the circuit. The communication module includes an RS485 communication unit and an infrared communication unit.

[0024] In addition, in some preferred embodiments, a display module, an input module and other human-computer interaction units, such as a display screen and a keyboard, may be connected to the outside of the low-voltage intelligent switch as needed.

[0025] Combination Figure 2 The present invention provides a fault detection and self-healing method for a polymorphic fusion low-voltage intelligent switch, comprising the following steps: Step 1: Deploy the low-voltage intelligent switch on the low-voltage line, monitor the electrical parameters of the low-voltage circuit through the low-voltage intelligent switch, and record the electrical parameter data before and after the low-voltage line fault, including: Step 1.1, collecting voltage and current data of the low voltage circuit through a voltage collection circuit and a current collection circuit; Step 1.2, the input voltage and current data are processed by the metering chip to obtain the current value and the voltage value; Step 1.3, controlling the acquisition time of the voltage acquisition circuit and the current acquisition circuit by the wave recording main control chip; the acquisition time includes the acquisition start time point T1 (1 second before the fault occurs) and the acquisition end time point T2 (1 second after the fault occurs); Step 1.4, the main control chip generates a RAM address uniquely corresponding to the identification ID according to the stored identification ID, and stores the collected current and voltage waveform data in a storage area corresponding to the RAM address in the memory.

[0026] Step 2: Establish data connection between low-voltage intelligent switch and fault monitoring APP, and transmit line electrical parameters to fault monitoring APP, including: Step 2.1: Establish a data connection between the communication module and the fault monitoring APP through the preset communication protocol; select the RS485 communication protocol and the wireless communication protocol according to the actual situation.

[0027] Step 2.2, the main control chip retrieves the collected voltage and current waveform data from the memory; Step 2.3: Send the voltage and current waveform data and the corresponding identification ID to the fault monitoring APP through the communication module.

[0028] Step 3: The fault monitoring APP processes the received electrical parameter data and predicts the line fault. It locates the low-voltage smart switch according to the identification ID, which facilitates the power maintenance personnel to troubleshoot the fault. Specifically, it includes: Step 3.1, read the voltage and current waveform data and the corresponding identification ID, extract the voltage characteristic value and the current characteristic value, and respectively form a voltage characteristic value set and a current characteristic value set corresponding to the identification ID; Step 3.2: After preprocessing and normalizing, the elements in the voltage characteristic value set are input into the preset voltage monitoring model as input variables, and the voltage prediction value at a future moment is output, including the following steps: Step 3.2.1: Preprocess and normalize the elements in the voltage feature set, combine them with the identification ID, and generate a voltage monitoring feature set corresponding to the identification ID: ; Indicates the maximum voltage value, minimum voltage value, average voltage value and voltage frequency after preprocessing and normalization; Step 3.2.2: Assume the voltage monitoring model is: ,in, is the intercept, Indicates regression coefficients, is the error term, ; Step 3.2.3: are input into the voltage monitoring model and the output Indicates the predicted value of voltage at a future moment.

[0029] Step 3.3: After preprocessing and normalizing, the elements in the current characteristic value set are input into the preset current monitoring model as input variables, and the current prediction value at a future moment is output, including the following steps: Step 3.3.1: Preprocess and normalize the elements in the current feature set, combine with the identification ID, and generate a current monitoring feature set corresponding to the identification ID: ; Respectively represent the maximum current value, minimum current value, average current value and current frequency after preprocessing and normalization; Step 3.3.2: Assume the current monitoring model is: ,in, is the intercept, Indicates regression coefficients, is the error term, ; Step 3.3.3: are input into the voltage monitoring model and the output Indicates the predicted value of the current at a future moment.

[0030] Step 3.4: Analyze the voltage prediction value and the current prediction value. The fault monitoring APP outputs a control instruction according to the analysis result to control the opening and closing action of the low-voltage intelligent switch; and feeds back the state value of the low-voltage intelligent switch, where the state value is 0 or 1. Specifically, the following steps are included: Step 3.4.1: Set the voltage action threshold and current action threshold ; Step 3.4.2, obtaining the state value of the low-voltage intelligent switch corresponding to the identification ID, wherein a state value of 1 indicates that the corresponding low-voltage intelligent switch is in a closed state, and a state value of 0 indicates that the corresponding low-voltage intelligent switch is in an open state; Step 3.4.3, if the status value is 1 and or , predict that the line where the low-voltage intelligent switch is located will fail at a future moment. If the predicted time point is moment t, the fault monitoring APP will send the predicted fault time point t to the low-voltage intelligent switch, and the recording control module controls the voltage acquisition circuit and the current acquisition circuit to collect the voltage waveform and current waveform in the time period from t-1s to t+1s, that is, the waveform data within 2 seconds before and after the fault time point. In this embodiment, the recording frequency is not less than 10k / s. The recording frequency can be remotely written into the low-voltage intelligent switch through the fault monitoring APP, or manually input into the low-voltage intelligent switch through a keyboard connected to the low-voltage intelligent switch. The collected waveform data is stored in the memory in the low-voltage intelligent switch for later analysis; Then, the fault monitoring APP generates a disconnection control instruction and sends the disconnection control instruction to the low-voltage intelligent switch corresponding to the identification ID. The main control chip in the low-voltage intelligent switch analyzes the disconnection control instruction and drives the separation and combination control module to perform the disconnection action; wherein, They are voltage threshold correction variable and current threshold correction variable respectively; Step 3.4.4, if the status value is 0 and and The fault monitoring APP generates a closing control command and sends the closing control command to the low-voltage intelligent switch corresponding to the identification ID. The main control chip in the low-voltage intelligent switch parses the disconnection control command and drives the separation and closing control module to execute the closing action.

[0031] Step 3.4.5, if the status value is 1 and and , the circuit is judged to be normal, and the fault monitoring APP does not send control instructions; Step 3.4.6, if the status value is 0 and or , it is determined that the low-voltage intelligent switch has a fault with no normal feedback status value or no normal disconnection. The fault monitoring APP generates a switch fault alarm information, which includes the identification ID of the faulty low-voltage intelligent switch, and sends a reset instruction to the low-voltage intelligent switch. The main control chip of the low-voltage intelligent switch receives and parses the reset instruction, and then performs a reset operation. After resetting, the switch will try to disconnect again and feedback the new status value to the fault monitoring APP. After receiving the feedback status value, the fault monitoring APP will verify whether the low-voltage intelligent switch has resumed normal working state. If yes, the alarm is canceled; if not, further manual intervention or repair may be required.

[0032] Step 4: Set the sampling frequency of the electrical parameter data of the low-voltage intelligent switch through the fault monitoring APP. After the fault is eliminated, the line is actively restored based on the automatically collected electrical parameter data. The specific steps include the following: Step 4.1, get the status value; Step 4.2, determine whether the status value is 0; Step 4.3, if it is 0, then: The fault monitoring APP calls the pre-stored f1 and f2, and sends f1 and f2 to the low-voltage smart switch; Step 4.4, the main control chip sends f1 and f2 to the wave recording chip, and the wave recording chip controls the voltage sampling circuit and the current sampling circuit to sample the line according to f1 and f2; Step 4.5: Obtain multiple voltage values ​​through the metering chip and current value , and feed it back to the main control chip, which will collect the voltage value and current value Respectively with the preset normal current value and normal voltage value Compare; Step 4.6: If and , if the circuit current and voltage are normal, a closing command is generated to drive the opening and closing control module to perform the closing operation, where: and are the current correction constant and the voltage correction constant respectively, , ; Step 4.7: If it is 1, go to step 4.1 to get the status value again.

[0033] The fault monitoring APP stores an identification ID that matches each low-voltage smart switch. The sampling frequency includes a current sampling frequency f1 and a voltage sampling frequency f2. Both the current sampling frequency and the voltage sampling frequency can be set remotely through a host computer or locally. The set f1 and f2 are stored locally.

[0034] When current leakage occurs due to aging or damage of line insulation, or when people and animals come into direct contact with the line, the electric shock main control module controls the separation and combination control module so that the low-voltage intelligent switch can trip safely and reliably, quickly cutting off the power supply.

[0035] The present invention also provides an electronic device, which is used to execute the fault detection and self-healing method of the polymorphic fusion low-voltage intelligent switch.

[0036] The present invention also provides a computer-readable storage medium, which stores a computer program. The computer program is executed by a processor to implement the fault detection and self-healing method of a polymorphic fusion low-voltage intelligent switch.

[0037] It should be noted that the current monitoring model and the voltage monitoring model in this embodiment have been pre-trained and functionally verified.

[0038] The embodiments disclosed in the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. The embodiments disclosed in the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part, and / or installed from a removable medium. When the computer program is executed by the central processing unit (CPU), the above-mentioned functions defined in the method of the present application are executed. It should be noted that the above-mentioned computer-readable medium of the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, but not limited to, a system, device or device of an electrical, magnetic, optical, electromagnetic, infrared segment, or semiconductor, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to, an electrical connection with one or more wire segments, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, electrical wire, optical cable, RF, etc., or any suitable combination of the foregoing.

[0039] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0040] Those skilled in the art should understand that the embodiments of the present invention described above and shown in the accompanying drawings are only examples and do not limit the present invention. The objectives of the present invention have been fully and effectively achieved. The functional and structural principles of the present invention have been demonstrated and explained in the embodiments. Without departing from the principles, the implementation methods of the present invention may be deformed or modified in any way.

Claims

1. A fault detection and self-healing method for a polymorphic fusion low-voltage intelligent switch, characterized in that: The method comprises: Deploy low-voltage intelligent switches on low-voltage lines, monitor the electrical parameters of low-voltage circuits through low-voltage intelligent switches, and record the electrical parameter data before and after low-voltage line faults; Establish data connection between low-voltage intelligent switch and fault monitoring APP, and transmit line electrical parameters to the fault monitoring APP; The fault monitoring APP processes the received electrical parameter data and predicts line faults, locating the low-voltage smart switch based on the identification ID, making it easier for power maintenance personnel to troubleshoot; The sampling frequency of the electrical parameter data of the low-voltage intelligent switch can be set through the fault monitoring APP. After the fault is eliminated, the line can be actively restored based on the automatically collected electrical parameter data; The low-voltage intelligent switch includes a main control module and a power module, a metering module, a communication module, and a separation and combination control module connected to the main control module; The fault monitoring APP stores an identification ID that matches each low-voltage intelligent switch, and the sampling frequency includes a current sampling frequency f1 and a voltage sampling frequency f2.

2. The fault detection and self-healing method of a polymorphic fusion low-voltage intelligent switch according to claim 1 is characterized in that: The main control module includes a main control chip and an electric shock main control chip connected to the main control chip, a memory and several wave recording main control chips; the metering module includes a metering chip and a voltage sampling circuit and a current sampling circuit connected to the metering chip, and the wave recording main control chip is used to control the voltage sampling circuit and the current sampling circuit to collect the voltage and current data of the circuit.

3. A fault detection and self-healing method for a polymorphic fusion low-voltage intelligent switch according to claim 2, characterized in that: The method of monitoring the electrical parameters of the low-voltage circuit by the low-voltage intelligent switch and recording the electrical parameter data before and after the low-voltage line fault comprises the following steps: The voltage and current waveform data of the low voltage circuit are collected by the voltage collection circuit and the current collection circuit; The input voltage and current data are processed by the metering chip to obtain the current value and the voltage value; The acquisition time of the voltage acquisition circuit and the current acquisition circuit is controlled by the wave recording main control chip; the acquisition time includes the acquisition start time point T1 and the acquisition end time point T2; The main control chip generates a RAM address uniquely corresponding to the identification ID according to the stored identification ID, and stores the collected current and voltage waveform data in a storage area corresponding to the RAM address in the memory.

4. The fault detection and self-healing method of a polymorphic fusion low-voltage intelligent switch according to claim 3 is characterized in that: The method of establishing a data connection between the low-voltage intelligent switch and the fault monitoring APP and transmitting the circuit electrical parameters to the fault monitoring APP includes the following steps: Establish data connection between the communication module and the fault monitoring APP through the preset communication protocol; The main control chip retrieves the collected voltage and current waveform data from the memory; The voltage and current waveform data and the corresponding identification ID are sent to the fault monitoring APP through the communication module.

5. A fault detection and self-healing method for a polymorphic fusion low-voltage intelligent switch according to claim 4, characterized in that: The fault monitoring APP processes the received electrical parameter data and predicts the cause of the line fault, including: Reading voltage and current waveform data and corresponding identification IDs, extracting voltage characteristic values ​​and current characteristic values, and respectively forming a voltage characteristic value set and a current characteristic value set corresponding to the identification IDs; The current characteristic value includes one or more of a maximum current value, a minimum current value, an average current value and a current frequency; The voltage characteristic value includes one or more of a maximum voltage value, a minimum voltage value, an average voltage value and a voltage frequency; The elements in the voltage characteristic value set are preprocessed and normalized and then input into the preset voltage monitoring model as input variables to output the voltage prediction value at a future moment; The elements in the current characteristic value set are preprocessed and normalized and then input into the preset current monitoring model as input variables, and the current prediction value at a future moment is output; The voltage prediction value and the current prediction value are analyzed, and the fault monitoring APP outputs a control instruction according to the analysis result to control the opening and closing action of the low-voltage intelligent switch; and feeds back the state value of the low-voltage intelligent switch, which is 0 or 1.

6. A fault detection and self-healing method for a polymorphic fusion low-voltage intelligent switch according to claim 5, characterized in that: The elements in the voltage characteristic value set are preprocessed and normalized as input variables into a preset voltage monitoring model to output a voltage prediction value at a future moment, specifically including: The elements in the voltage feature set are preprocessed and normalized, and combined with the identification ID, a voltage monitoring feature set corresponding to the identification ID is generated: ; Assume the voltage monitoring model is: ,in, is the intercept, Indicates regression coefficients, is the error term, ; Respectively represent the maximum voltage value, minimum voltage value, average voltage value and voltage frequency after preprocessing and normalization; Will are input into the voltage monitoring model and the output Indicates the predicted value of voltage at a future moment; The elements in the current characteristic value set are preprocessed and normalized as input variables into a preset current monitoring model to output a current prediction value at a future moment, including: The elements in the current feature set are preprocessed and normalized, and combined with the identification ID, a current monitoring feature set corresponding to the identification ID is generated: ; Assume the current monitoring model is: ,in, is the intercept, Indicates regression coefficients, is the error term, ; Will are input into the voltage monitoring model and the output Indicates the predicted value of the current at a future moment.

7. A fault detection and self-healing method for a polymorphic fusion low-voltage intelligent switch according to claim 6, characterized in that: The voltage prediction value and the current prediction value are analyzed, and the fault monitoring APP outputs a control instruction according to the analysis result to control the opening and closing action of the low-voltage intelligent switch. include: Set voltage action threshold and current action threshold ; Obtain the state value of the low-voltage intelligent switch corresponding to the identification ID, where a state value of 1 indicates that the corresponding low-voltage intelligent switch is in a closed state, and a state value of 0 indicates that the corresponding low-voltage intelligent switch is in an open state; If the status value is 1 and or The fault monitoring APP generates a disconnection control instruction and sends the disconnection control instruction to the low-voltage intelligent switch corresponding to the identification ID. The main control chip in the low-voltage intelligent switch analyzes the disconnection control instruction and drives the separation and combination control module to perform the disconnection action; wherein, They are voltage threshold correction variable and current threshold correction variable respectively; If the status value is 0 and and The fault monitoring APP generates a closing control command and sends the closing control command to the low-voltage intelligent switch corresponding to the identification ID. The main control chip in the low-voltage intelligent switch analyzes the disconnection control command and drives the separation and closing control module to execute the closing action; If the status value is 1 and and , the circuit is judged to be normal, and the fault monitoring APP does not send control instructions; If the status value is 0 and or , it is determined that the low-voltage intelligent switch has a fault of no normal feedback state value or no normal disconnection, and the fault monitoring APP generates switch fault alarm information, and the switch alarm information includes the identification ID of the faulty low-voltage intelligent switch.

8. The fault detection and self-healing method of a polymorphic fusion low-voltage intelligent switch according to claim 1 is characterized in that: The sampling frequency of the electrical parameter data of the low-voltage intelligent switch is set through the fault monitoring APP, and after the fault is eliminated, the line is actively restored according to the automatically collected electrical parameter data, including: Get the status value; Determine whether the status value is 0; If the status value is 0, then: The fault monitoring APP calls the pre-stored f1 and f2, and sends f1 and f2 to the low-voltage smart switch; The main control chip sends f1 and f2 to the wave recording chip, and the wave recording chip controls the voltage sampling circuit and the current sampling circuit to sample the line according to f1 and f2; Get multiple voltage values ​​through the metering chip and current value , and feed it back to the main control chip, which will collect the voltage value and current value Respectively with the preset normal current value and normal voltage value Compare; if and , if the circuit current and voltage are normal, a closing command is generated to drive the opening and closing control module to perform the closing operation, where: and are the current correction constant and the voltage correction constant respectively, , ; If the status value is 1, go to the step of obtaining the status value.

9. An electronic device, characterized in that: The electronic device is used to execute the fault detection and self-healing method of a polymorphic fusion low-voltage intelligent switch as described in any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement a fault detection and self-healing method for a polymorphic fusion low-voltage intelligent switch as described in any one of claims 1 to 8.

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