Electricity utilization safety management and control method and system based on current fingerprint identification module

Abstract

The invention discloses an electricity safety management and control method and system based on a current fingerprint identification module, and relates to the technical field of electricity safety management and control, and the method comprises the steps: obtaining the type data of an electric device based on initial electrical signal data and an electric device identification model, enabling a monitor to automatically recognize the type of the electric device, and obtaining the type data of the electric device; the parameters of the monitor are automatically configured according to the electric equipment type data, a user does not need to adjust the electric equipment monitor, and the electric equipment quality index is obtained by calculating the mean value of the electric equipment initial quality index and the electric equipment stable quality index according to the real-time electric signal data and the electric equipment quality evaluation model. According to the method, the influence caused by the unstable operation state of the electric equipment in the access line is reduced, the system fault parameters are obtained based on the real-time electrical signal data and the real-time current fingerprint characteristic data, and a user can find the faults of the electric equipment and the electric line more quickly and accurately through the system fault parameters.

Description

Technical Field

[0001] The present invention relates to the technical field of electricity safety management and control, and in particular to an electricity safety management and control method and system based on a current fingerprint recognition module. Background Art

[0002] With the development of science and technology, there are more and more types of electrical equipment, and they have penetrated into every household, company and enterprise, and with the progress of intelligence, there are more and more working modes of electrical equipment. The working status of each electrical equipment is also different, and it will even switch continuously with changes in the environment and time, causing its current fingerprint to constantly change.

[0003] When installing the existing electricity safety management and control system, special operation and maintenance personnel need to be dispatched to carry out installation and debugging and pre-installation, and the type of electrical equipment needs to be manually selected and configured. However, users cannot flexibly adjust the electrical equipment in subsequent use, which increases personnel costs and supervision costs. Therefore, it is necessary to provide an electricity safety management and control method and system based on a current fingerprint recognition module to solve the above-mentioned problems. Summary of the invention

[0004] In order to solve the above technical problems, the present technical solution solves the problem raised in the above background technology that during the installation of the existing electricity safety management and control system, special operation and maintenance personnel need to be dispatched to carry out installation and debugging and pre-installation, and the type of electrical equipment needs to be manually selected and configured, while users cannot flexibly adjust the electrical equipment in subsequent use, which leads to an increase in personnel costs and an increase in supervision costs.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is: A method for electricity safety management and control based on a current fingerprint recognition module, comprising: Collecting initial electrical signal data; Based on the initial electrical signal data, obtaining electrical equipment type data and determining monitor calibration parameters; Calibrate and test the monitor based on the monitor calibration parameters to verify the accuracy and performance of the monitor; Collect real-time electrical signal data using calibrated monitors; Obtain the quality index of electrical equipment based on real-time electrical signal data; Based on the analysis of the types of electrical equipment, the threshold value of the quality index of the electrical equipment is obtained; According to the threshold of the power equipment quality index, determine whether the quality of the power equipment is qualified. If not, send an early warning message to the control center. If yes, obtain real-time current fingerprint feature data; Obtain system fault parameters based on real-time electrical signal data and real-time current fingerprint feature data; Based on system fault parameters, evaluate the operating status of electrical equipment and obtain system fault information; Based on the system fault information, send fault information to the control center.

[0006] In an optional embodiment, based on the initial electrical signal data, the electrical equipment type data is obtained, and the monitor calibration parameters are determined, specifically including: Acquire initial current characteristic information and initial voltage characteristic information according to the initial electrical information data; Acquiring initial electrical characteristic parameters based on the initial current characteristic information and the initial voltage characteristic information; Inputting the initial electrical characteristic parameters into the electrical equipment identification model to obtain the electrical equipment type data; Obtain the temperature coefficient and pressure parameters of the monitor; Obtaining calibration parameters of the monitor based on the electrical equipment type data, temperature coefficient and pressure parameters; The steps for obtaining the electrical equipment identification model are as follows: S201: Collecting electrical signal data of electrical equipment; S202: extracting characteristic parameters of the electrical equipment using signal processing and data analysis technology based on the electrical signal data of the electrical equipment; S203: Based on a machine learning method, the extracted characteristic parameters of the electrical equipment are input into a classification model, and the model is trained to identify different types of electrical equipment; S204: Optimizing the trained classification model to obtain an electrical equipment recognition model; The calculation formula of the initial electrical characteristic parameters is: ; In the formula, Indicates the initial electrical characteristic parameters of the electrical equipment. represents the weight of the initial electrical characteristic parameters, Indicates The minimum current value of the electrical equipment per unit time node, Indicates The minimum voltage value of the electrical equipment at each unit time node, Indicates The maximum current value of the electrical equipment per unit time node, Indicates The maximum voltage value of the electrical equipment at each node per unit time, Indicates the total startup time of the electrical equipment when it is first connected to the power line.

[0007] In an optional embodiment, obtaining the quality index of the electrical equipment according to the real-time electrical signal data specifically includes: Based on real-time electrical signal data, real-time current characteristic information and real-time voltage characteristic information are obtained; Acquire real-time electrical characteristic parameters according to the real-time current characteristic information and the real-time voltage characteristic information; Input the real-time electrical characteristic parameters into the electrical equipment identification model to obtain the real-time electrical equipment type information; Obtaining initial evaluation parameters of electrical equipment based on real-time electrical signal data and real-time electrical equipment type information; Inputting the initial evaluation parameters of the electrical equipment into the electrical equipment quality evaluation model to obtain the initial quality index of the electrical equipment; Obtain stable electrical signal data of electrical equipment; Based on the steady electrical signal data of the electrical equipment, steady current characteristic information and steady voltage characteristic information are obtained; Based on the steady current characteristic information and the steady voltage characteristic information, the steady assessment parameters of the electrical equipment are obtained; Inputting the stability assessment parameters of the power equipment into the power equipment quality assessment model to obtain the stability quality index of the power equipment; Based on the initial quality index of the electric equipment and the stable quality index of the electric equipment, the quality index of the electric equipment is obtained; The steps for obtaining the electrical equipment quality assessment model are as follows: S401: Collect relevant electrical signal data and relevant quality evaluation indexes of different types of electrical equipment using a monitor in the form of a time series; S402: performing data preprocessing on the collected relevant electrical signal data and relevant quality assessment indicators; S402: Based on regression analysis technology, a relationship model between relevant electrical signal data and relevant quality assessment indexes is established; S403: extracting characteristic data from relevant electrical signal data, obtaining characteristic electrical signal data, and inputting the characteristic electrical signal data and relevant quality assessment index into a relational model for training; S404: using a cross-validation method to evaluate the relationship model and obtain a quality evaluation model for electrical equipment; The calculation formula for the initial evaluation parameters of the electrical equipment is: ; In the formula, Indicates the initial evaluation parameters of the electrical equipment. represents the weight of the initial evaluation parameters of the electrical equipment, Indicates The average power of the electrical equipment per unit time node, Indicates the rated power of the electrical equipment. Indicates the total time it takes for an electrical device to start after being connected to a circuit for a period of time; The calculation formula of the steady evaluation parameter of the electrical equipment is: ; In the formula, Indicates the stable evaluation parameters of electrical equipment. Indicates the weight of the stable evaluation parameters of the electrical equipment, It indicates the average value of the fluctuating power of the electrical equipment during stable operation. Indicates that the electrical equipment is running smoothly. The average power of the node per unit time, Indicates the rated power of the electrical equipment. Indicates the statistical duration.

[0008] In an optional embodiment, obtaining the quality index of the electric equipment based on the initial quality index of the electric equipment and the stable quality index of the electric equipment specifically includes: Obtaining an initial quality index of electric equipment and a stable quality index of electric equipment of two electric equipments connected to the power line in sequence; Calculate the average of the initial quality index of the a-th connected electrical equipment and the stable quality index of the electrical equipment to obtain a first average; Calculate the average of the initial quality index of the a+1th connected electrical equipment and the stable quality index of the electrical equipment to obtain a second average; The ath electric device and the a+1th electric device are connected to the electric line at the same time, and the means of the initial quality index and the stable quality index of the corresponding electric devices are obtained respectively to obtain the third mean and the fourth mean; Based on the first mean value, the second mean value, the third mean value and the fourth mean value, an electrical influence coefficient of the electrical equipment is obtained; Based on the initial quality index of the electrical equipment, the stable quality index of the electrical equipment and the electrical influence coefficient of the electrical equipment, the quality index of the electrical equipment is obtained; The calculation formula of the electrical equipment quality index of the ath electrical equipment is: ; In the formula, Indicates The electrical equipment quality index of each electrical equipment, Indicates The initial quality index of the electrical equipment in which each electrical equipment is connected to the power line separately, Indicates The stability quality index of the power equipment in which each power equipment is connected to the power line separately, Indicates The initial quality index of the electrical equipment in which each electrical equipment is connected to the power line separately, Indicates The stability quality index of the power equipment in which each power equipment is connected to the power line separately, Indicates The electrical equipment and The initial quality index of the electrical equipment when the electrical equipment is connected to the power line at the same time, Indicates The electrical equipment and The stability quality index of the power equipment in which the power equipment is connected to the power line at the same time, Indicates The electrical equipment and The initial quality index of the electrical equipment when the electrical equipment is connected to the power line at the same time, Indicates The electrical equipment and The stability quality index of electrical equipment connected to the power line at the same time.

[0009] In an optional embodiment, obtaining real-time current fingerprint feature data specifically includes: Based on the electrical equipment type data output by the electrical equipment identification model, equipment combination information is obtained; Based on the real-time current characteristic information and the real-time voltage characteristic information, the load information and the operating status information of different types of electrical equipment are obtained; Combine the load information and operating status information of different types of electrical equipment with the equipment combination information to obtain real-time current fingerprint feature data.

[0010] In an optional embodiment, obtaining system fault parameters based on real-time electrical signal data and real-time current fingerprint feature data specifically includes: Obtain power line current information based on real-time electrical signal data; According to the power line current information, the total value of the power circuit current and the power circuit current index are obtained; Based on the total value of the power circuit current, a power circuit current index threshold is obtained; Based on the power circuit current index threshold, determine whether the power circuit has leakage. If not, obtain the power line current information based on the real-time electrical signal data. If yes, obtain the power circuit leakage information. Monitor the load information and operating status information of different types of electrical equipment in the next operating cycle to obtain steady current fingerprint feature data; Compare the steady current fingerprint feature data with the real-time current fingerprint feature data to obtain the corresponding change information of different types of electrical equipment; Based on the equipment combination information, power circuit leakage information and change information, the system fault parameters are obtained.

[0011] Furthermore, a power safety management and control system based on a current fingerprint recognition module is proposed, which is used to implement the management and control method as described above, including: A data acquisition module, the data acquisition module is used to collect initial electrical signal data, real-time electrical signal data and electrical signal data of electrical equipment, obtain the temperature coefficient and pressure parameters of the monitor, and use the monitor to collect relevant electrical signal data and relevant quality evaluation indexes of different types of electrical equipment in the form of time series; A data processing module, wherein the data processing module is used to extract characteristic parameters of the electrical equipment based on the electrical signal data of the electrical equipment by using signal processing and data analysis techniques, input the extracted characteristic parameters of the electrical equipment into a classification model based on a machine learning method, train the model to identify different types of electrical equipment, and obtain an electrical equipment identification model, establish a relationship model between relevant electrical signal data and relevant quality assessment indexes based on regression analysis technology, extract characteristic data from the relevant electrical signal data, obtain characteristic electrical signal data, and input the characteristic electrical signal data and the relevant quality assessment index into the relationship model for training to obtain an electrical equipment quality assessment model, calibrate and test the monitor based on the calibration parameters of the monitor to verify the accuracy and performance of the monitor, judge whether the quality of the electrical equipment is qualified based on the threshold value of the quality index of the electrical equipment, and judge whether leakage occurs in the electrical circuit based on the threshold value of the current index of the electrical circuit; A data transmission module, the data transmission module is used to transmit the data acquired by the data acquisition module to the data processing module, and transmit the results processed in the data processing module to the display module; A display module is used to display the training results of the power equipment identification model and the power equipment quality assessment model, as well as to display real-time power equipment type information, power equipment quality index and system fault information.

[0012] In an optional embodiment, the data acquisition module includes: A first acquisition unit, the first acquisition unit is used to collect initial electrical signal data, real-time electrical signal data and electrical signal data of electrical equipment; The second acquisition unit is used to acquire the temperature coefficient and pressure parameters of the monitor, and collect relevant electrical signal data and relevant quality evaluation indexes of different types of electrical equipment using the monitor in the form of time series.

[0013] In an optional embodiment, the data processing module includes: A training unit, wherein the training unit is used to extract characteristic parameters of the electrical equipment based on the electrical signal data of the electrical equipment by using signal processing and data analysis technology, input the extracted characteristic parameters of the electrical equipment into a classification model based on a machine learning method, train the model to identify different types of electrical equipment, and obtain an electrical equipment identification model, establish a relationship model between relevant electrical signal data and relevant quality assessment indexes based on regression analysis technology, extract characteristic data from the relevant electrical signal data, obtain characteristic electrical signal data, and input the characteristic electrical signal data and the relevant quality assessment index into the relationship model for training to obtain an electrical equipment quality assessment model; an adjustment unit, the adjustment unit being used to calibrate and test the monitor based on the monitor calibration parameters to verify the accuracy and performance of the monitor; The judgment unit is used to judge whether the quality of the electrical equipment is qualified based on the electrical equipment quality index threshold, and to judge whether the electrical circuit has leakage based on the electrical circuit current index threshold.

[0014] In an optional embodiment, the display module includes: A first display unit, the first display unit is used to display the training results of the electric device identification model and the electric device quality assessment model; The second display unit is used to display real-time power-consuming device type information, power-consuming device quality index and system fault information.

[0015] Compared with the prior art, the present invention has the following beneficial effects: The present invention proposes a method and system for electricity safety management and control based on a current fingerprint recognition module. Based on initial electrical signal data, an electrical equipment recognition model is used to obtain electrical equipment type data, so that the monitor automatically identifies the type of electrical equipment and automatically configures the parameters of the monitor according to the electrical equipment type data, so that the user does not need to adjust the electrical equipment monitor in subsequent use. Based on real-time electrical signal data, an electrical equipment quality assessment model is used to obtain an electrical equipment quality index. The electrical equipment quality index is obtained by calculating the average of the initial quality index of the electrical equipment and the stable quality index of the electrical equipment, thereby reducing the impact caused by the unstable operating state of the electrical equipment in the access line. Based on real-time electrical signal data and real-time current fingerprint feature data, system fault parameters are obtained. Through the system fault parameters, users can find faults in electrical equipment and power lines more quickly and accurately. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a flow chart of a method for electricity safety management and control based on a current fingerprint recognition module proposed in the present invention; Figure 2A flowchart for obtaining the quality index of electrical equipment in the present invention; Figure 3 A flowchart for obtaining system fault parameters in the present invention; Figure 4 This is a system framework diagram of an electricity safety management and control system based on a current fingerprint recognition module proposed in the present invention. DETAILED DESCRIPTION

[0017] 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 may think of other obvious variations.

[0018] Reference Figure 1 - Figure 4 As shown, a method for electricity safety management and control based on a current fingerprint recognition module includes: Collecting initial electrical signal data; Based on the initial electrical signal data, obtaining electrical equipment type data and determining monitor calibration parameters; Calibrate and test the monitor based on the monitor calibration parameters to verify the accuracy and performance of the monitor; Collect real-time electrical signal data using calibrated monitors; Obtain the quality index of electrical equipment based on real-time electrical signal data; Based on the analysis of the types of electrical equipment, the threshold value of the quality index of the electrical equipment is obtained; According to the threshold of the power equipment quality index, determine whether the quality of the power equipment is qualified. If not, send an early warning message to the control center. If yes, obtain real-time current fingerprint feature data; Obtain system fault parameters based on real-time electrical signal data and real-time current fingerprint feature data; Based on system fault parameters, evaluate the operating status of electrical equipment and obtain system fault information; Based on the system fault information, send fault information to the control center.

[0019] Specifically, the initial electrical signal data is used to describe the electrical signals collected after the monitor is connected to the power line, including data such as the current, voltage and power of the power line, as well as data such as the current, voltage and power of the electrical equipment connected to the power circuit. The monitor calibration parameters are used to describe a set of parameters for adjusting or setting the monitoring equipment (such as power monitors, voltage monitors, etc.) to ensure its measurement accuracy and reliability. The real-time electrical signal data is used to describe the electrical signals collected after the monitor is connected to the power line and the monitor calibration parameters are determined according to the type of electricity connected to the power line, including data such as the current, voltage and power of the power line, as well as data such as the current, voltage and power of the electrical equipment connected to the power circuit. The power equipment quality index is an indicator for measuring and evaluating the quality and reliability of different types of electrical equipment (such as motors, transformers, switchgear, etc.) connected to the power line.

[0020] Further, based on the initial electrical signal data, the electrical equipment type data is obtained and the monitor calibration parameters are determined, specifically including: Acquire initial current characteristic information and initial voltage characteristic information according to the initial electrical information data; Acquiring initial electrical characteristic parameters based on the initial current characteristic information and the initial voltage characteristic information; Inputting the initial electrical characteristic parameters into the electrical equipment identification model to obtain the electrical equipment type data; Obtain the temperature coefficient and pressure parameters of the monitor; Obtaining calibration parameters of the monitor based on the electrical equipment type data, temperature coefficient and pressure parameters; The steps for obtaining the electrical equipment identification model are as follows: S201: Collecting electrical signal data of electrical equipment; S202: extracting characteristic parameters of the electrical equipment using signal processing and data analysis technology based on the electrical signal data of the electrical equipment; S203: Based on a machine learning method, the extracted characteristic parameters of the electrical equipment are input into a classification model, and the model is trained to identify different types of electrical equipment; S204: Optimizing the trained classification model to obtain an electrical equipment recognition model; The calculation formula of the initial electrical characteristic parameters is: ; In the formula, Indicates the initial electrical characteristic parameters of the electrical equipment. represents the weight of the initial electrical characteristic parameters, Indicates The minimum current value of the electrical equipment per unit time node, Indicates The minimum voltage value of the electrical equipment at each unit time node, Indicates The maximum current value of the electrical equipment per unit time node, Indicates The maximum voltage value of the electrical equipment at each node per unit time, Indicates the total startup time of the electrical equipment when it is first connected to the power line.

[0021] Furthermore, the quality index of electrical equipment is obtained based on the real-time electrical signal data, including: Based on real-time electrical signal data, real-time current characteristic information and real-time voltage characteristic information are obtained; Acquire real-time electrical characteristic parameters according to the real-time current characteristic information and the real-time voltage characteristic information; Input the real-time electrical characteristic parameters into the electrical equipment identification model to obtain the real-time electrical equipment type information; Obtaining initial evaluation parameters of electrical equipment based on real-time electrical signal data and real-time electrical equipment type information; Inputting the initial evaluation parameters of the electrical equipment into the electrical equipment quality evaluation model to obtain the initial quality index of the electrical equipment; Obtain stable electrical signal data of electrical equipment; Based on the steady electrical signal data of the electrical equipment, steady current characteristic information and steady voltage characteristic information are obtained; Based on the steady current characteristic information and the steady voltage characteristic information, the steady assessment parameters of the electrical equipment are obtained; Inputting the stability assessment parameters of the power equipment into the power equipment quality assessment model to obtain the stability quality index of the power equipment; Based on the initial quality index of the electric equipment and the stable quality index of the electric equipment, the quality index of the electric equipment is obtained; Among them, the steps for obtaining the power equipment quality assessment model are: S401: Collect relevant electrical signal data and relevant quality evaluation indexes of different types of electrical equipment using a monitor in the form of a time series; S402: performing data preprocessing on the collected relevant electrical signal data and relevant quality assessment indicators; S402: Based on regression analysis technology, a relationship model between relevant electrical signal data and relevant quality assessment indexes is established; S403: extracting characteristic data from relevant electrical signal data, obtaining characteristic electrical signal data, and inputting the characteristic electrical signal data and relevant quality assessment index into a relational model for training; S404: using a cross-validation method to evaluate the relationship model and obtain a quality evaluation model for electrical equipment; The calculation formula for the initial evaluation parameters of electrical equipment is: ; In the formula, Indicates the initial evaluation parameters of the electrical equipment. represents the weight of the initial evaluation parameters of the electrical equipment, Indicates The average power of the electrical equipment per unit time node, Indicates the rated power of the electrical equipment. Indicates the total time it takes for an electrical device to start after being connected to a circuit for a period of time; The calculation formula for the stable evaluation parameters of electrical equipment is: ; In the formula, Indicates the stable evaluation parameters of electrical equipment. Indicates the weight of the stable evaluation parameters of the electrical equipment, It indicates the average value of the fluctuating power of the electrical equipment during stable operation. Indicates that the electrical equipment is running smoothly. The average power of the node per unit time, Indicates the rated power of the electrical equipment. Indicates the statistical duration.

[0022] Specifically, when electrical equipment is connected to the power line, the starting current shock and voltage fluctuation will cause the power supply voltage to drop instantaneously, affecting the normal operation of other equipment, or triggering the protection device to cause a brief power outage of the equipment, which will have a certain impact on the monitoring accuracy of the monitor. Therefore, the stable electrical signal data of the electrical equipment is the electrical data after the electrical equipment is connected to the power line and maintains a certain state and runs smoothly for a period of time. The initial evaluation parameters of the electrical equipment are the comprehensive indicators of the electrical data generated by the electrical equipment just connected to the power line. The stable evaluation parameters of the electrical equipment are the comprehensive indicators of the electrical data after the electrical equipment maintains a certain state and runs smoothly for a period of time. It indicates the average value of the fluctuating power of the electrical equipment during stable operation. However, the electrical equipment will inevitably be affected by external factors during stable operation, which will cause the power spectrum or waveform generated by the monitor when monitoring the electrical equipment to fluctuate, so that the power represented by some unit time nodes is not on the waveform line. Therefore, it is used represents the error term.

[0023] It can be understood that the relevant electrical signal data and the relevant quality evaluation index in the relationship model between the relevant electrical signal data and the relevant quality evaluation index established based on regression analysis technology are historical data. The relevant electrical signal data are electrical signals generated by different types of electrical equipment collected by the monitor, and the relevant quality evaluation index is a comprehensive indicator of the operating status of the electrical equipment itself when different types of electrical equipment generate relevant electrical signal data, including the output power of the electrical equipment.

[0024] Furthermore, based on the initial quality index of the power equipment and the stable quality index of the power equipment, the quality index of the power equipment is obtained, which specifically includes: Obtaining an initial quality index of electric equipment and a stable quality index of electric equipment of two electric equipments connected to the power line in sequence; Calculate the average of the initial quality index of the a-th connected electrical equipment and the stable quality index of the electrical equipment to obtain a first average; Calculate the average of the initial quality index of the a+1th connected electrical equipment and the stable quality index of the electrical equipment to obtain a second average; The ath electric device and the a+1th electric device are connected to the electric line at the same time, and the means of the initial quality index and the stable quality index of the corresponding electric devices are obtained respectively to obtain the third mean and the fourth mean; Based on the first mean value, the second mean value, the third mean value and the fourth mean value, an electrical influence coefficient of the electrical equipment is obtained; Based on the initial quality index of the electrical equipment, the stable quality index of the electrical equipment and the electrical influence coefficient of the electrical equipment, the quality index of the electrical equipment is obtained; Among them, the calculation formula of the power equipment quality index of the ath power equipment is: ; In the formula, Indicates The electrical equipment quality index of each electrical equipment, Indicates The initial quality index of the electrical equipment in which each electrical equipment is connected to the power line separately, Indicates The stability quality index of the power equipment in which each power equipment is connected to the power line separately, Indicates The initial quality index of the electrical equipment in which each electrical equipment is connected to the power line separately, Indicates The stability quality index of the power equipment in which each power equipment is connected to the power line separately, Indicates The electrical equipment and The initial quality index of the electrical equipment when the electrical equipment is connected to the power line at the same time, Indicates The electrical equipment and The stability quality index of the power equipment in which the power equipment is connected to the power line at the same time, Indicates The electrical equipment and The initial quality index of the electrical equipment when the electrical equipment is connected to the power line at the same time, Indicates The electrical equipment and The stability quality index of electrical equipment connected to the power line at the same time.

[0025] Understandably, For the The initial evaluation parameters of each electrical equipment are input into the initial quality index of the electrical equipment output by the electrical equipment quality evaluation model. For the The power equipment stability assessment parameter of each power equipment is input into the power equipment quality assessment model, and the power equipment stability quality index output by the power equipment quality assessment model, the first mean, the second mean, the third mean and the fourth mean are respectively expressed by the formula: , , and , and the electrical influence coefficient of electrical equipment is expressed as .

[0026] Specifically, when When the power equipment is connected to the power line separately, the impact on it is small and can be ignored. Therefore, the quality index of the power equipment can be calculated separately. and +1 electrical equipment is connected to the power line at the same time. Since the total current and total voltage in the power line remain unchanged, the two electrical equipment will affect each other when connected to the power line, thereby reducing their respective electrical equipment quality indexes, thereby affecting the monitoring accuracy of the monitor. Therefore, it is necessary to consider the electrical influence coefficient of the electrical equipment between the two. The electrical influence coefficient of the electrical equipment is a comprehensive indicator of the influence on each other when two devices are started together at the same time or in the same time period.

[0027] Furthermore, real-time current fingerprint feature data is obtained, including: Based on the electrical equipment type data output by the electrical equipment identification model, equipment combination information is obtained; Based on the real-time current characteristic information and the real-time voltage characteristic information, the load information and the operating status information of different types of electrical equipment are obtained; Combine the load information and operating status information of different types of electrical equipment with the equipment combination information to obtain real-time current fingerprint feature data.

[0028] Furthermore, based on the real-time electrical signal data and the real-time current fingerprint feature data, the system fault parameters are obtained, including: Obtain power line current information based on real-time electrical signal data; According to the power line current information, the total value of the power circuit current and the power circuit current index are obtained; Based on the total value of the power circuit current, a power circuit current index threshold is obtained; Based on the power circuit current index threshold, determine whether the power circuit has leakage. If not, obtain the power line current information based on the real-time electrical signal data. If yes, obtain the power circuit leakage information. Monitor the load information and operating status information of different types of electrical equipment in the next operating cycle to obtain steady current fingerprint feature data; Compare the steady current fingerprint feature data with the real-time current fingerprint feature data to obtain the corresponding change information of different types of electrical equipment; Based on the equipment combination information, power circuit leakage information and change information, the system fault parameters are obtained.

[0029] Specifically, the total value of the power circuit current is the total current in the power circuit, and the power circuit current index is the residual current of the circuit after deducting the sum of the real-time currents of the neutral wire and the live wire in the power circuit from the total value of the power circuit current. The power circuit current index is used to perform trend analysis on the leakage situation in the power circuit. The power circuit current index threshold is generally set to 30 mA. When the power circuit current index exceeds the set threshold, a leakage alarm is triggered and the leakage information of the power circuit is obtained.

[0030] Furthermore, a power safety management and control system based on a current fingerprint recognition module is proposed to implement the above management and control method, including: The data acquisition module is used to collect initial electrical signal data, real-time electrical signal data and electrical signal data of electrical equipment, obtain the temperature coefficient and pressure parameters of the monitor, and collect relevant electrical signal data and relevant quality evaluation indexes of different types of electrical equipment using the monitor in the form of time series; A data processing module, the data processing module is used to extract characteristic parameters of the electrical equipment based on the electrical signal data of the electrical equipment by using signal processing and data analysis technology, input the extracted characteristic parameters of the electrical equipment into a classification model based on a machine learning method, train the model to identify different types of electrical equipment, and obtain an electrical equipment identification model, establish a relationship model between relevant electrical signal data and relevant quality assessment indexes based on regression analysis technology, extract characteristic data from the relevant electrical signal data, obtain characteristic electrical signal data, and input the characteristic electrical signal data and the relevant quality assessment index into the relationship model for training to obtain an electrical equipment quality assessment model, calibrate and test the monitor based on the calibration parameters of the monitor to verify the accuracy and performance of the monitor, judge whether the quality of the electrical equipment is qualified based on the threshold value of the quality index of the electrical equipment, and judge whether leakage occurs in the electrical circuit based on the threshold value of the current index of the electrical circuit; A data transmission module, the data transmission module is used to transmit the data acquired by the data acquisition module to the data processing module, and transmit the results processed in the data processing module to the display module; The display module is used to display the training results of the power equipment identification model and the power equipment quality assessment model, as well as to display real-time power equipment type information, power equipment quality index and system fault information.

[0031] Furthermore, the data acquisition module includes: A first acquisition unit, the first acquisition unit is used to collect initial electrical signal data, real-time electrical signal data and electrical signal data of electrical equipment; The second acquisition unit is used to acquire the temperature coefficient and pressure parameters of the monitor, and collect relevant electrical signal data and relevant quality evaluation indexes of different types of electrical equipment using the monitor in the form of time series.

[0032] Furthermore, the data processing module includes: A training unit, the training unit is used to extract characteristic parameters of the electrical equipment based on the electrical signal data of the electrical equipment by using signal processing and data analysis technology, input the extracted characteristic parameters of the electrical equipment into a classification model based on a machine learning method, train the model to identify different types of electrical equipment, and obtain an electrical equipment identification model, establish a relationship model between relevant electrical signal data and relevant quality assessment indexes based on regression analysis technology, extract characteristic data from the relevant electrical signal data, obtain characteristic electrical signal data, and input the characteristic electrical signal data and the relevant quality assessment index into the relationship model for training to obtain an electrical equipment quality assessment model; An adjustment unit, the adjustment unit is used to calibrate and test the monitor based on the calibration parameters of the monitor to verify the accuracy and performance of the monitor; The judgment unit is used to judge whether the quality of the electrical equipment is qualified based on the electrical equipment quality index threshold, and to judge whether there is leakage in the electrical circuit based on the electrical circuit current index threshold.

[0033] Furthermore, the display module includes: A first display unit, the first display unit is used to display the training results of the electric equipment identification model and the electric equipment quality assessment model; The second display unit is used to display real-time power-consuming device type information, power-consuming device quality index and system fault information.

[0034] In summary, the advantages of the present invention are: through the initial electrical signal data, using the electrical equipment identification model, the electrical equipment type data is obtained, so that the monitor automatically identifies the type of electrical equipment, and automatically configures the parameters of the monitor according to the electrical equipment type data. In subsequent use, the user does not need to adjust the electrical equipment monitor, and according to the real-time electrical signal data, the electrical equipment quality index is obtained by using the electrical equipment quality assessment model. The electrical equipment quality index is obtained by calculating the average of the initial quality index of the electrical equipment and the stable quality index of the electrical equipment, thereby reducing the impact caused by the unstable operating state of the electrical equipment in the access line. Based on the real-time electrical signal data and the real-time current fingerprint feature data, the system fault parameters are obtained. Through the system fault parameters, the user can find faults in electrical equipment and power lines more quickly and accurately.

[0035] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for electricity safety management and control based on a current fingerprint recognition module, characterized in that: include: Collecting initial electrical signal data; Based on the initial electrical signal data, obtaining electrical equipment type data and determining monitor calibration parameters; Calibrate and test the monitor based on the monitor calibration parameters to verify the accuracy and performance of the monitor; Collect real-time electrical signal data using calibrated monitors; Obtain the quality index of electrical equipment based on real-time electrical signal data; Based on the analysis of the types of electrical equipment, the threshold value of the quality index of the electrical equipment is obtained; According to the threshold of the power equipment quality index, determine whether the quality of the power equipment is qualified. If not, send an early warning message to the control center. If yes, obtain real-time current fingerprint feature data; Obtain system fault parameters based on real-time electrical signal data and real-time current fingerprint feature data; Based on system fault parameters, evaluate the operating status of electrical equipment and obtain system fault information; Based on the system fault information, send fault information to the control center.

2. According to claim 1, a method for electricity safety management and control based on a current fingerprint recognition module is characterized in that: Based on the initial electrical signal data, the electrical equipment type data is obtained and the monitor calibration parameters are determined, including: Acquire initial current characteristic information and initial voltage characteristic information according to the initial electrical information data; Acquiring initial electrical characteristic parameters based on the initial current characteristic information and the initial voltage characteristic information; Inputting the initial electrical characteristic parameters into the electrical equipment identification model to obtain the electrical equipment type data; Obtain the temperature coefficient and pressure parameters of the monitor; Obtaining calibration parameters of the monitor based on the electrical equipment type data, temperature coefficient and pressure parameters; The steps for obtaining the electrical equipment identification model are as follows: S201: Collecting electrical signal data of electrical equipment; S202: extracting characteristic parameters of the electrical equipment using signal processing and data analysis technology based on the electrical signal data of the electrical equipment; S203: Based on a machine learning method, the extracted characteristic parameters of the electrical equipment are input into a classification model, and the model is trained to identify different types of electrical equipment; S204: Optimizing the trained classification model to obtain an electrical equipment recognition model; The calculation formula of the initial electrical characteristic parameters is: ； In the formula, Indicates the initial electrical characteristic parameters of the electrical equipment. represents the weight of the initial electrical characteristic parameters, Indicates The minimum current value of the electrical equipment per unit time node, Indicates The minimum voltage value of the electrical equipment at each unit time node, Indicates The maximum current value of the electrical equipment per unit time node, Indicates The maximum voltage value of the electrical equipment at each node per unit time, Indicates the total startup time of the electrical equipment when it is first connected to the power line.

3. According to the method of claim 1, the power safety management and control method based on the current fingerprint recognition module is characterized in that: According to the real-time electrical signal data, the quality index of electrical equipment is obtained, including: Based on real-time electrical signal data, real-time current characteristic information and real-time voltage characteristic information are obtained; Acquire real-time electrical characteristic parameters according to the real-time current characteristic information and the real-time voltage characteristic information; Input the real-time electrical characteristic parameters into the electrical equipment identification model to obtain the real-time electrical equipment type information; Obtaining initial evaluation parameters of electrical equipment based on real-time electrical signal data and real-time electrical equipment type information; Inputting the initial evaluation parameters of the electrical equipment into the electrical equipment quality evaluation model to obtain the initial quality index of the electrical equipment; Obtain stable electrical signal data of electrical equipment; Based on the steady electrical signal data of the electrical equipment, steady current characteristic information and steady voltage characteristic information are obtained; Based on the steady current characteristic information and the steady voltage characteristic information, the steady assessment parameters of the electrical equipment are obtained; Inputting the stability assessment parameters of the power equipment into the power equipment quality assessment model to obtain the stability quality index of the power equipment; Based on the initial quality index of the electric equipment and the stable quality index of the electric equipment, the quality index of the electric equipment is obtained; The steps for obtaining the electrical equipment quality assessment model are as follows: S401: Collect relevant electrical signal data and relevant quality evaluation indexes of different types of electrical equipment using a monitor in the form of a time series; S402: performing data preprocessing on the collected relevant electrical signal data and relevant quality assessment indicators; S402: Based on regression analysis technology, a relationship model between relevant electrical signal data and relevant quality assessment indexes is established; S403: extracting characteristic data from relevant electrical signal data, obtaining characteristic electrical signal data, and inputting the characteristic electrical signal data and relevant quality assessment index into a relational model for training; S404: using a cross-validation method to evaluate the relationship model and obtain a quality evaluation model for electrical equipment; The calculation formula for the initial evaluation parameters of the electrical equipment is: ； In the formula, Indicates the initial evaluation parameters of the electrical equipment. represents the weight of the initial evaluation parameters of the electrical equipment, Indicates The average power of the electrical equipment per unit time node, Indicates the rated power of the electrical equipment. Indicates the total time it takes for an electrical device to start after being connected to a circuit for a period of time; The calculation formula of the steady evaluation parameter of the electrical equipment is: ； In the formula, Indicates the stable evaluation parameters of electrical equipment. Indicates the weight of the stable evaluation parameters of the electrical equipment, It indicates the average value of the fluctuating power of the electrical equipment during stable operation. Indicates that the electrical equipment is running smoothly. The average power of the node per unit time, Indicates the rated power of the electrical equipment. Indicates the statistical duration.

4. According to claim 3, a method for electricity safety management and control based on a current fingerprint recognition module is characterized in that: Based on the initial quality index of the power equipment and the stable quality index of the power equipment, the quality index of the power equipment is obtained, which specifically includes: Obtaining an initial quality index of electric equipment and a stable quality index of electric equipment of two electric equipments connected to the power line in sequence; Calculate the average of the initial quality index of the a-th connected electrical equipment and the stable quality index of the electrical equipment to obtain a first average; Calculate the average of the initial quality index of the a+1th connected electrical equipment and the stable quality index of the electrical equipment to obtain a second average; The ath electric device and the a+1th electric device are connected to the electric line at the same time, and the means of the initial quality index and the stable quality index of the corresponding electric devices are obtained respectively to obtain the third mean and the fourth mean; Based on the first mean value, the second mean value, the third mean value and the fourth mean value, an electrical influence coefficient of the electrical equipment is obtained; Based on the initial quality index of the electrical equipment, the stable quality index of the electrical equipment and the electrical influence coefficient of the electrical equipment, the quality index of the electrical equipment is obtained; The calculation formula of the electrical equipment quality index of the ath electrical equipment is: ； In the formula, Indicates The electrical equipment quality index of each electrical equipment, Indicates The initial quality index of the electrical equipment in which each electrical equipment is connected to the power line separately, Indicates The stability quality index of the power equipment in which each power equipment is connected to the power line separately, Indicates The initial quality index of the electrical equipment in which each electrical equipment is connected to the power line separately, Indicates The stability quality index of the power equipment in which each power equipment is connected to the power line separately, Indicates The electrical equipment and The initial quality index of the electrical equipment when the electrical equipment is connected to the power line at the same time, Indicates The electrical equipment and The stability quality index of the power equipment in which the power equipment is connected to the power line at the same time, Indicates The electrical equipment and The initial quality index of the electrical equipment when the electrical equipment is connected to the power line at the same time, Indicates The electrical equipment and The stability quality index of electrical equipment connected to the power line at the same time.

5. The method for electricity safety management and control based on current fingerprint recognition module according to claim 1 is characterized in that: Obtain real-time current fingerprint feature data, including: Based on the electrical equipment type data output by the electrical equipment identification model, equipment combination information is obtained; Based on the real-time current characteristic information and the real-time voltage characteristic information, the load information and the operating status information of different types of electrical equipment are obtained; Combine the load information and operating status information of different types of electrical equipment with the equipment combination information to obtain real-time current fingerprint feature data.

6. The method for electricity safety management and control based on current fingerprint recognition module according to claim 1 is characterized in that: Based on real-time electrical signal data and real-time current fingerprint feature data, system fault parameters are obtained, including: Obtain power line current information based on real-time electrical signal data; According to the power line current information, the total value of the power circuit current and the power circuit current index are obtained; Based on the total value of the power circuit current, a power circuit current index threshold is obtained; Based on the power circuit current index threshold, determine whether the power circuit has leakage. If not, obtain the power line current information based on the real-time electrical signal data. If yes, obtain the power circuit leakage information. Monitor the load information and operating status information of different types of electrical equipment in the next operating cycle to obtain steady current fingerprint feature data; Compare the steady current fingerprint feature data with the real-time current fingerprint feature data to obtain the corresponding change information of different types of electrical equipment; Based on the equipment combination information, power circuit leakage information and change information, the system fault parameters are obtained.

7. An electricity safety management and control system based on a current fingerprint recognition module, used to implement the management and control method according to any one of claims 1 to 6, characterized in that: include: A data acquisition module, the data acquisition module is used to collect initial electrical signal data, real-time electrical signal data and electrical signal data of electrical equipment, obtain the temperature coefficient and pressure parameters of the monitor, and use the monitor to collect relevant electrical signal data and relevant quality evaluation indexes of different types of electrical equipment in the form of time series; A data processing module, wherein the data processing module is used to extract characteristic parameters of the electrical equipment based on the electrical signal data of the electrical equipment by using signal processing and data analysis techniques, input the extracted characteristic parameters of the electrical equipment into a classification model based on a machine learning method, train the model to identify different types of electrical equipment, and obtain an electrical equipment identification model, establish a relationship model between relevant electrical signal data and relevant quality assessment indexes based on regression analysis technology, extract characteristic data from the relevant electrical signal data, obtain characteristic electrical signal data, and input the characteristic electrical signal data and the relevant quality assessment index into the relationship model for training to obtain an electrical equipment quality assessment model, calibrate and test the monitor based on the calibration parameters of the monitor to verify the accuracy and performance of the monitor, judge whether the quality of the electrical equipment is qualified based on the threshold value of the quality index of the electrical equipment, and judge whether leakage occurs in the electrical circuit based on the threshold value of the current index of the electrical circuit; A data transmission module, the data transmission module is used to transmit the data acquired by the data acquisition module to the data processing module, and transmit the results processed in the data processing module to the display module; A display module is used to display the training results of the power equipment identification model and the power equipment quality assessment model, as well as to display real-time power equipment type information, power equipment quality index and system fault information.

8. The power safety management and control system based on the current fingerprint recognition module according to claim 7 is characterized in that: The data acquisition module comprises: A first acquisition unit, the first acquisition unit is used to collect initial electrical signal data, real-time electrical signal data and electrical signal data of electrical equipment; The second acquisition unit is used to acquire the temperature coefficient and pressure parameters of the monitor, and collect relevant electrical signal data and relevant quality evaluation indexes of different types of electrical equipment using the monitor in the form of time series.

9. The power safety management and control system based on the current fingerprint recognition module according to claim 7 is characterized in that: The data processing module comprises: A training unit, wherein the training unit is used to extract characteristic parameters of the electrical equipment based on the electrical signal data of the electrical equipment by using signal processing and data analysis technology, input the extracted characteristic parameters of the electrical equipment into a classification model based on a machine learning method, train the model to identify different types of electrical equipment, and obtain an electrical equipment identification model, establish a relationship model between relevant electrical signal data and relevant quality assessment indexes based on regression analysis technology, extract characteristic data from the relevant electrical signal data, obtain characteristic electrical signal data, and input the characteristic electrical signal data and the relevant quality assessment index into the relationship model for training to obtain an electrical equipment quality assessment model; an adjustment unit, the adjustment unit being used to calibrate and test the monitor based on the monitor calibration parameters to verify the accuracy and performance of the monitor; The judgment unit is used to judge whether the quality of the electrical equipment is qualified based on the electrical equipment quality index threshold, and to judge whether the electrical circuit has leakage based on the electrical circuit current index threshold.

10. The power safety management and control system based on the current fingerprint recognition module according to claim 7 is characterized in that: The display module comprises: A first display unit, the first display unit is used to display the training results of the electric device identification model and the electric device quality assessment model; The second display unit is used to display real-time power-consuming device type information, power-consuming device quality index and system fault information.

Images