Electromagnetic coupling intelligent analysis system and method based on big data

Abstract

The invention discloses an electromagnetic coupling intelligent analysis system and method based on big data, and belongs to the technical field of electric power data analysis. The system comprises an equipment control module, a data acquisition module, a model intelligent analysis module, a real-time monitoring module and an interaction module, the equipment control module is used for controlling the electromagnetic coupling device to work; the data acquisition module is used for acquiring current and voltage data in the electromagnetic coupling device in the equipment control module and environment data when the electromagnetic coupling device works; the intelligent model analysis module is used for establishing a coupling efficiency analysis model and analyzing the influence of different environmental data on the electromagnetic coupling efficiency in the electromagnetic coupling device; the real-time monitoring module is used for performing real-time analysis on the data, calculating a current electromagnetic coupling efficiency predicted value and monitoring whether an electromagnetic coupling device is abnormal or not; and the interaction module is used for a manager to check the alarm information and the data real-time analysis result through the mobile terminal.

Description

Technical Field

[0001] The present invention relates to the technical field of power data analysis, and in particular to an electromagnetic coupling intelligent analysis system and method based on big data. Background Art

[0002] Electromagnetic coupling converts the AC current on the sending side into a magnetic field through the principle of electromagnetic induction, while coupling with the receiving side to generate an electromotive force. In the field of power grid applications, electromagnetic coupling affects the conversion and operation of energy. Electromagnetic coupling based on big data can achieve deep insight and precise control of the electromagnetic coupling process by mining and processing massive data.

[0003] In an electromagnetically coupled wireless energy transmission system, energy transmission can achieve optimal efficiency within a critical coupling region. However, when the coupling distance is too close, the electromagnetic field interaction between different circuits or components is enhanced, which can easily lead to electromagnetic interference and reduce the overall performance of the system. In addition, the electromagnetic coupling process generates heat, causing the local temperature of the equipment to be too high, affecting the stability of the equipment and causing equipment abnormalities. The existing technology often analyzes the abnormal values ​​of current and voltage when judging the abnormality of electromagnetic coupling devices, but this method cannot accurately control the abnormality of electromagnetic coupling devices, and does not consider the interference of environmental factors on the analysis data. Summary of the invention

[0004] The purpose of the present invention is to provide an electromagnetic coupling intelligent analysis system and method based on big data to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: an electromagnetic coupling intelligent analysis method based on big data, the method comprising the following steps:

[0006] S1. The primary coil in the electromagnetic coupling device transmits electric energy to the secondary coil through electromagnetic coupling; current and voltage data in the electromagnetic coupling device are collected; the current and voltage data include the current and voltage of the primary coil and the secondary coil;

[0007] S2, collecting environmental data when the electromagnetic coupling device is in operation; the environmental data includes temperature, humidity, noise and electromagnetic field strength in the electromagnetic coupling device;

[0008] S3, storing the current and voltage data collected in step S1 and the environmental data collected in step S2 as historical data in a database, establishing a coupling efficiency analysis model based on the historical data stored in the database, and analyzing the influence of different environmental data on the electromagnetic coupling efficiency in the electromagnetic coupling device;

[0009] S4. When the electromagnetic coupling device is operating, the collected environmental data is analyzed in real time, and the current electromagnetic coupling efficiency prediction value is calculated according to the real-time analysis results of the environmental data and the established coupling efficiency analysis model; the collected current and voltage data are analyzed in real time to determine the current electromagnetic coupling efficiency true value; according to the current electromagnetic coupling efficiency prediction value and true value, the electromagnetic coupling in the electromagnetic coupling device is monitored to determine whether an abnormality occurs; if the electromagnetic coupling is normal, continue monitoring; if the electromagnetic coupling is abnormal, execute step S5;

[0010] S5. Generate alarm information of abnormal electromagnetic coupling device and send the alarm information to the management personnel.

[0011] An electromagnetic coupling intelligent analysis system based on big data, the system includes a device control module, a data acquisition module, a model intelligent analysis module, a real-time monitoring module and an interaction module;

[0012] The device control module is used to control the operation of the electromagnetic coupling device, and the primary coil in the electromagnetic coupling device transmits electrical energy to the secondary coil through electromagnetic coupling;

[0013] The data acquisition module is used to collect current and voltage data in the electromagnetic coupling device in the equipment control module and environmental data when the electromagnetic coupling device is operating; the current and voltage data include the current and voltage of the primary coil and the secondary coil; the environmental data include the temperature, humidity, noise and electromagnetic field strength in the electromagnetic coupling device; the collected current and voltage data and environmental data are sent to the model intelligent analysis module and the real-time monitoring module;

[0014] The model intelligent analysis module is used to store the current, voltage data and environmental data sent by the data acquisition module as historical data in a database; based on the historical data stored in the database, a coupling efficiency analysis model is established to analyze the influence of different environmental data on the electromagnetic coupling efficiency in the electromagnetic coupling device;

[0015] The real-time monitoring module is used to perform real-time analysis on the collected environmental data, calculate the current electromagnetic coupling efficiency prediction value according to the real-time analysis results of the environmental data and the established coupling efficiency analysis model; perform real-time analysis on the collected current and voltage data to determine the current electromagnetic coupling efficiency real value; monitor the electromagnetic coupling in the electromagnetic coupling device according to the current electromagnetic coupling efficiency prediction value and real value to determine whether an abnormality occurs; if the electromagnetic coupling is normal, continue monitoring; if the electromagnetic coupling is abnormal, send abnormal alarm information to the interactive module;

[0016] The interactive module is used for management personnel to view the alarm information of abnormal electromagnetic coupling devices and the real-time analysis results of collected environmental data through a mobile terminal; the alarm information includes the device number of the abnormal electromagnetic coupling device, the current electromagnetic coupling efficiency prediction value and the actual value.

[0017] Compared with the prior art, the beneficial effects achieved by the present invention are: providing an electromagnetic coupling intelligent analysis system and method based on big data, by establishing a coupling efficiency analysis model, analyzing the influence of different environmental data on the electromagnetic coupling efficiency in the electromagnetic coupling device, taking into account the interference of environmental factors on the analysis data, so as to accurately control the abnormality of the electromagnetic coupling device and improve the accuracy of abnormal data analysis; by calculating the current electromagnetic coupling efficiency prediction value and comparing the electromagnetic coupling efficiency prediction value with the actual value, it is possible to quickly respond to the abnormality of the electromagnetic coupling device, thereby improving the system's intelligent control capability of the equipment and reducing safety risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the steps of an electromagnetic coupling intelligent analysis method based on big data of the present invention;

[0019] Figure 2 It is a structural schematic diagram of an electromagnetic coupling intelligent analysis system based on big data of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] See also Figure 1-Figure 2 , the present invention provides a technical solution:

[0022] See also Figure 1 In the first embodiment of the present invention, an electromagnetic coupling intelligent analysis method based on big data is provided. In this method, by analyzing the data generated during the electromagnetic coupling process of the electromagnetic coupling device, the abnormality of the electromagnetic coupling device is accurately controlled, so that the system can quickly respond to the abnormality of the device and reduce the safety risk of the device. The method includes the following steps:

[0023] S1. The primary coil in the electromagnetic coupling device transmits electric energy to the secondary coil through electromagnetic coupling; current and voltage data in the electromagnetic coupling device are collected; the current and voltage data include the current and voltage of the primary coil and the secondary coil.

[0024] In this embodiment, the electromagnetic coupling device transmits electric energy through electromagnetic coupling, including but not limited to a transformer and a mutual inductor; the current and voltage of the primary coil and the secondary coil are directly measured by an ammeter and a voltmeter.

[0025] S2. Collecting environmental data of the electromagnetic coupling device during operation; the environmental data includes temperature, humidity, noise and electromagnetic field strength in the electromagnetic coupling device.

[0026] Furthermore, a temperature sensor, a humidity sensor, a noise sensor and an electromagnetic field sensor are installed in the electromagnetic coupling device; the temperature sensor is used to collect the temperature in the electromagnetic coupling device; the humidity sensor is used to collect the humidity in the electromagnetic coupling device; the noise sensor is used to collect the noise in the electromagnetic coupling device; and the electromagnetic field sensor is used to collect the electromagnetic field strength in the electromagnetic coupling device.

[0027] In this embodiment, the sensor is installed near the primary coil and is used to collect environmental data of the area where the primary coil and the secondary coil are electromagnetically coupled.

[0028] It should be noted that installing different sensors in the electromagnetic coupling device can directly measure the noise and electromagnetic field strength when electromagnetic coupling occurs in the electromagnetic coupling device, thereby making the collected and analyzed environmental data more accurate and improving the accuracy of data analysis; among them, if the humidity change in the electromagnetic coupling device can be ignored, that is, the impact on the electromagnetic coupling efficiency is always within the error range, it can be measured by other means, such as installing the humidity sensor at other locations in the environment where the electromagnetic coupling device is located to collect environmental data, thereby reducing the use of sensors and improving the energy efficiency of the system.

[0029] S3. The current and voltage data collected in step S1 and the environmental data collected in step S2 are stored as historical data in a database. Based on the historical data stored in the database, a coupling efficiency analysis model is established to analyze the influence of different environmental data on the electromagnetic coupling efficiency in the electromagnetic coupling device.

[0030] Specifically, the method steps are:

[0031] S31, storing the collected current, voltage and environmental data as historical data in a database, and continuously updating the database;

[0032] S32. Establish a coupling efficiency analysis model, take the temperature, humidity, noise and electromagnetic field strength in the electromagnetic coupling device as independent variables x1, x2, x3 and x4 respectively, take the electromagnetic coupling efficiency in the electromagnetic coupling device as the dependent variable y, analyze the influence of different environmental data on the electromagnetic coupling efficiency in the electromagnetic coupling device, and calculate according to the formula:

[0033]

[0034] Among them, a1 represents the influence constant of temperature on electromagnetic coupling efficiency; a2 represents the influence constant of humidity on electromagnetic coupling efficiency; a3 represents the influence constant of noise on electromagnetic coupling efficiency; b1, b2 and b3 all represent the influence constant of electromagnetic field strength on electromagnetic coupling efficiency; ε represents the error term;

[0035] S33, retrieve the historical data of the electromagnetic coupling device during normal operation from the database for analysis, and determine the current of the primary coil at different timestamps t according to the historical current and voltage data. Voltage and the secondary coil current and voltage According to the historical environmental data, the temperature W in the electromagnetic coupling device at different time stamps t is determined respectively. t , humidity S t , noise Z t and electromagnetic field strength D t ;according to and Calculate the electromagnetic coupling efficiency in the electromagnetic coupling device at different time stamps t

[0036]

[0037] S34. The historical data analysis results retrieved from the database in step S33 are used as training parameters of independent variables x1, x2, x3, x4 and dependent variable y, respectively, and substituted into the calculation formula of step S32 for fitting to determine the values ​​of a1, a2, a3, b1, b2 and b3.

[0038] In this embodiment, the resistor in the electromagnetic coupling device is a thermistor with a positive temperature coefficient, that is, the resistance increases with increasing temperature; the normal operation of the electromagnetic coupling device means that the current and voltage during the operation of the electromagnetic coupling device are within a normal range.

[0039] It should be noted that the influence of temperature, humidity, noise and the electromagnetic coupling process in the electromagnetic coupling device is analyzed; for temperature, since the resistor in the electromagnetic coupling device in this embodiment is a thermistor with a positive temperature coefficient, as the temperature increases, the resistance in the primary coil and the secondary coil increases continuously, and the current decreases continuously, resulting in a decrease in the electromagnetic coupling efficiency. Thus, the influence of temperature on electromagnetic coupling efficiency is analyzed, where y1 represents the influence of temperature on electromagnetic coupling efficiency. Similarly, as the humidity in the electromagnetic coupling device increases, the circuit components in the primary coil and the secondary coil become damp, which reduces the electromagnetic coupling efficiency. Thus, the influence of humidity on electromagnetic coupling efficiency is analyzed, where y2 represents the degree of influence on humidity electromagnetic coupling efficiency. As for noise, since most of the noise in the electromagnetic coupling device is caused by equipment vibration, analyzing the noise is also analyzing the equipment vibration. When the noise increases, the stability of the circuit elements in the primary coil and the secondary coil decreases, which will affect the electromagnetic coupling process, thereby reducing the electromagnetic coupling efficiency. By fitting the relationship curve Thus, the influence of noise on the electromagnetic coupling efficiency is analyzed, wherein y3 represents the influence degree of noise on the electromagnetic coupling efficiency.

[0040] It should be noted that the influence of the electromagnetic field strength in the electromagnetic coupling device on the electromagnetic coupling process is analyzed; for the electromagnetic field strength, during the electromagnetic coupling process, the alternating electromagnetic field generated by the primary coil will induce an electromotive force in the secondary coil. As the electromagnetic field strength increases, the electromotive force induced by the secondary coil will also increase accordingly. Therefore, the electromagnetic coupling efficiency shows an upward trend. However, after reaching a certain threshold, due to the limitation of electromagnetic interference, the electromagnetic coupling efficiency no longer increases. By fitting the relationship curve Thus, the influence of electromagnetic field strength on electromagnetic coupling efficiency is analyzed; wherein, y4 represents the influence degree of electromagnetic field strength on electromagnetic coupling efficiency; In this embodiment, Consider more about the impact of electromagnetic interference on electromagnetic coupling efficiency.

[0041] It should be noted that by establishing a risk analysis model, the temperature W in the electromagnetic coupling device at different time stamps t is calculated. t As the training parameter of the independent variable x1, the humidity S in the electromagnetic coupling device at different timestamps t is t As the training parameter of the independent variable x2, the noise Z in the electromagnetic coupling device at different timestamps t is t As the training parameter of the independent variable x3, the electromagnetic field strength D in the electromagnetic coupling device at different time stamps t is t As the training parameter of the independent variable x4, the electromagnetic coupling efficiency in the electromagnetic coupling device at different timestamps t is The training parameters of the dependent variable y are substituted into the above calculation formula for fitting, and the fitting results are determined according to the least squares method, and finally the values ​​of a1, a2, a3, b1, b2 and b3 are determined.

[0042] S4. When the electromagnetic coupling device is operating, the collected environmental data is analyzed in real time, and the current electromagnetic coupling efficiency prediction value is calculated based on the real-time analysis results of the environmental data and the established coupling efficiency analysis model; the collected current and voltage data are analyzed in real time to determine the current electromagnetic coupling efficiency true value; based on the current electromagnetic coupling efficiency prediction value and true value, the electromagnetic coupling in the electromagnetic coupling device is monitored to determine whether an abnormality occurs; if the electromagnetic coupling is normal, continue monitoring; if the electromagnetic coupling is abnormal, execute step S5.

[0043] Specifically, the method steps are:

[0044] S41. Perform real-time analysis on the collected environmental data to determine the temperature W0, humidity S0, noise Z0 and electromagnetic field strength D0 in the current electromagnetic coupling device; calculate the current electromagnetic coupling efficiency prediction value based on W0, S0, Z0, D0 and the established coupling efficiency analysis model.

[0045]

[0046] S42, analyze the collected current and voltage data in real time, and determine the actual value of the current electromagnetic coupling efficiency based on the current current and voltage of the primary coil and the current and voltage of the secondary coil. Monitor the electromagnetic coupling in the electromagnetic coupling device. and For comparison, When the electromagnetic coupling is normal, continue monitoring; when When the electromagnetic coupling is abnormal, execute step S5.

[0047] It should be noted that due to changes in different environmental factors, the optimal efficiency of electromagnetic coupling will also change. By analyzing the impact of different environmental data on the electromagnetic coupling efficiency in the electromagnetic coupling device, calculating the current electromagnetic coupling efficiency prediction value, and comparing the electromagnetic coupling efficiency prediction value with the actual value, the interference of environmental factors on the analysis data is taken into account, thereby accurately controlling the abnormalities of the electromagnetic coupling device and improving the accuracy of abnormal data analysis.

[0048] S5. Generate alarm information of abnormal electromagnetic coupling device and send the alarm information to the management personnel.

[0049] Furthermore, the management personnel can view the alarm information of abnormal electromagnetic coupling devices and the real-time analysis results of collected environmental data through the mobile terminal; the alarm information includes the device number of the abnormal electromagnetic coupling device, the current electromagnetic coupling efficiency prediction value and the actual value.

[0050] In this embodiment, the mobile terminal includes but is not limited to a mobile phone and a mobile tablet; when an electromagnetic coupling device has an electromagnetic coupling anomaly, the alarm information is further analyzed: when When the actual value of the current electromagnetic coupling efficiency is greater than the predicted value, the environmental data and current and voltage data of the electromagnetic coupling device operation are recorded, thereby narrowing the data range of the electromagnetic coupling efficiency analysis and reducing the storage volume of the analysis data; when When the current electromagnetic coupling efficiency prediction value is greater than the true value, different weights are assigned to the parameters in the environmental data. According to the established coupling efficiency analysis model, the influence of different environmental data on the current electromagnetic coupling efficiency prediction value is determined respectively. According to the influence of different environmental data on the current electromagnetic coupling efficiency prediction value and the weight assigned, the abnormal type of the electromagnetic coupling device is predicted. The management personnel perform relevant operations according to the predicted abnormal type. For example, when the temperature influence is too high, the cooling equipment is turned on to cool down the electromagnetic coupling device. Among them, by digitally displaying the alarm information and the real-time analysis results of the collected environmental data, the management personnel can respond quickly to the abnormality of the electromagnetic coupling device, which improves the system's intelligent management and control capabilities of the equipment and reduces safety risks.

[0051] See also Figure 2 , in the second embodiment: an electromagnetic coupling intelligent analysis system based on big data is provided, the system comprising a device control module, a data acquisition module, a model intelligent analysis module, a real-time monitoring module and an interaction module;

[0052] The device control module is used to control the operation of the electromagnetic coupling device, and the primary coil in the electromagnetic coupling device transmits electrical energy to the secondary coil through electromagnetic coupling;

[0053] The data acquisition module is used to collect current and voltage data in the electromagnetic coupling device in the equipment control module and environmental data when the electromagnetic coupling device is operating; the current and voltage data include the current and voltage of the primary coil and the secondary coil; the environmental data include the temperature, humidity, noise and electromagnetic field strength in the electromagnetic coupling device; the collected current and voltage data and environmental data are sent to the model intelligent analysis module and the real-time monitoring module;

[0054] The model intelligent analysis module is used to store the current, voltage data and environmental data sent by the data acquisition module as historical data in a database; based on the historical data stored in the database, a coupling efficiency analysis model is established to analyze the influence of different environmental data on the electromagnetic coupling efficiency in the electromagnetic coupling device;

[0055] The real-time monitoring module is used to perform real-time analysis on the collected environmental data, calculate the current electromagnetic coupling efficiency prediction value according to the real-time analysis results of the environmental data and the established coupling efficiency analysis model; perform real-time analysis on the collected current and voltage data to determine the current electromagnetic coupling efficiency real value; monitor the electromagnetic coupling in the electromagnetic coupling device according to the current electromagnetic coupling efficiency prediction value and real value to determine whether an abnormality occurs; if the electromagnetic coupling is normal, continue monitoring; if the electromagnetic coupling is abnormal, send abnormal alarm information to the interactive module;

[0056] The interactive module is used for management personnel to view the alarm information of abnormal electromagnetic coupling devices and the real-time analysis results of collected environmental data through a mobile terminal; the alarm information includes the device number of the abnormal electromagnetic coupling device, the current electromagnetic coupling efficiency prediction value and the actual value.

[0057] Furthermore, the model intelligent analysis module includes a database, a history analysis unit and a model training unit;

[0058] The database is used to store historical current and voltage data and historical environmental data, and to continuously update the database;

[0059] The historical analysis unit is used to retrieve historical data of the electromagnetic coupling device during normal operation from the database for analysis, determine the current and voltage of the primary coil and the current and voltage of the secondary coil at different timestamps, and determine the temperature, humidity, noise and electromagnetic field strength in the electromagnetic coupling device at different timestamps; calculate the electromagnetic coupling efficiency in the electromagnetic coupling device at different timestamps;

[0060] The model training unit is used to establish a coupling efficiency analysis model to analyze the influence of different environmental data on the electromagnetic coupling efficiency in the electromagnetic coupling device.

[0061] Furthermore, the real-time monitoring module includes a real-time analysis unit, an intelligent calculation unit and an intelligent judgment unit;

[0062] The real-time analysis unit is used to perform real-time analysis on the collected environmental data, determine the temperature, humidity, noise and electromagnetic field strength in the current electromagnetic coupling device, and determine the real value of the current electromagnetic coupling efficiency;

[0063] The intelligent calculation unit is used to calculate the current electromagnetic coupling efficiency prediction value according to the temperature, humidity, noise and electromagnetic field strength in the current electromagnetic coupling device and the established coupling efficiency analysis model;

[0064] The intelligent judgment unit is used to monitor the electromagnetic coupling in the electromagnetic coupling device to determine whether an abnormality occurs; if the electromagnetic coupling is normal, continue monitoring; if the electromagnetic coupling is abnormal, send abnormal alarm information to the management personnel.

[0065] In this embodiment:

[0066] The system is an intelligent analysis system for transformer electromagnetic coupling. The equipment control module controls the operation of the transformer, and the primary coil transmits electrical energy to the secondary coil through electromagnetic coupling.

[0067] The data acquisition module collects the current and voltage data in the transformer and the environmental data when the transformer is in operation; and sends the collected current and voltage data and environmental data to the model intelligent analysis module and the real-time monitoring module;

[0068] The database in the model intelligent analysis module stores the current, voltage and environmental data sent by the data acquisition module as historical data and continuously updates them; the historical analysis unit retrieves the historical data of the transformer during normal operation from the database for analysis, calculates the electromagnetic coupling efficiency in the transformer, and sends the historical data analysis results and the calculated electromagnetic coupling efficiency in the transformer to the model training unit; the model training unit establishes a coupling efficiency analysis model to analyze the influence of different environmental data on the electromagnetic coupling efficiency in the transformer;

[0069] The real-time analysis unit in the real-time monitoring module performs real-time analysis on the collected current, voltage and environmental data, and sends the real-time data analysis results to the intelligent computing unit; the intelligent computing unit calculates the current electromagnetic coupling efficiency prediction value, and sends the calculated current electromagnetic coupling efficiency prediction value to the intelligent judgment unit; the intelligent judgment unit monitors whether the transformer is abnormal based on the current electromagnetic coupling efficiency prediction value and the actual value, and when the transformer is abnormal, an abnormal alarm is issued, and the alarm information is sent to the interactive module;

[0070] The interactive module provides a mobile terminal, through which managers can view the alarm information of abnormal electromagnetic coupling devices and the real-time analysis results of collected environmental data. After viewing, managers can quickly respond through the equipment number of the transformer, thereby improving the equipment management and control capabilities.

[0071] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An electromagnetic coupling intelligent analysis method based on big data, characterized in that: The method comprises the following steps: S1. The primary coil in the electromagnetic coupling device transmits electric energy to the secondary coil through electromagnetic coupling; current and voltage data in the electromagnetic coupling device are collected; the current and voltage data include the current and voltage of the primary coil and the secondary coil; S2, collecting environmental data when the electromagnetic coupling device is in operation; the environmental data includes temperature, humidity, noise and electromagnetic field strength in the electromagnetic coupling device; S3, storing the current and voltage data collected in step S1 and the environmental data collected in step S2 as historical data in a database, establishing a coupling efficiency analysis model based on the historical data stored in the database, and analyzing the influence of different environmental data on the electromagnetic coupling efficiency in the electromagnetic coupling device; S4. When the electromagnetic coupling device is operating, the collected environmental data is analyzed in real time, and the current electromagnetic coupling efficiency prediction value is calculated according to the real-time analysis results of the environmental data and the established coupling efficiency analysis model; the collected current and voltage data are analyzed in real time to determine the current electromagnetic coupling efficiency true value; according to the current electromagnetic coupling efficiency prediction value and true value, the electromagnetic coupling in the electromagnetic coupling device is monitored to determine whether an abnormality occurs; if the electromagnetic coupling is normal, continue monitoring; if the electromagnetic coupling is abnormal, execute step S5; S5. Generate alarm information of abnormal electromagnetic coupling device and send the alarm information to the management personnel.

2. The electromagnetic coupling intelligent analysis method based on big data according to claim 1 is characterized in that: A temperature sensor, a humidity sensor, a noise sensor and an electromagnetic field sensor are installed in the electromagnetic coupling device; the temperature sensor is used to collect the temperature in the electromagnetic coupling device; the humidity sensor is used to collect the humidity in the electromagnetic coupling device; the noise sensor is used to collect the noise in the electromagnetic coupling device; and the electromagnetic field sensor is used to collect the electromagnetic field strength in the electromagnetic coupling device.

3. The electromagnetic coupling intelligent analysis method based on big data according to claim 1 is characterized in that: The method steps of step S3 are: S31, storing the collected current, voltage and environmental data as historical data in a database, and continuously updating the database; S32. Establish a coupling efficiency analysis model, take the temperature, humidity, noise and electromagnetic field strength in the electromagnetic coupling device as independent variables x1, x2, x3 and x4 respectively, take the electromagnetic coupling efficiency in the electromagnetic coupling device as the dependent variable y, analyze the influence of different environmental data on the electromagnetic coupling efficiency in the electromagnetic coupling device, and calculate according to the formula: Among them, a1 represents the influence constant of temperature on electromagnetic coupling efficiency; a2 represents the influence constant of humidity on electromagnetic coupling efficiency; a3 represents the influence constant of noise on electromagnetic coupling efficiency; b1, b2 and b3 all represent the influence constant of electromagnetic field strength on electromagnetic coupling efficiency; ε represents the error term; S33, retrieve the historical data of the electromagnetic coupling device during normal operation from the database for analysis, and determine the current of the primary coil at different timestamps t according to the historical current and voltage data. Voltage and the secondary coil current and voltage According to the historical environmental data, the temperature W in the electromagnetic coupling device at different time stamps t is determined respectively. t , humidity S t , noise Z t and electromagnetic field strength D t ;according to and Calculate the electromagnetic coupling efficiency in the electromagnetic coupling device at different time stamps t S34. The historical data analysis results retrieved from the database in step S33 are used as training parameters of independent variables x1, x2, x3, x4 and dependent variable y, respectively, and substituted into the calculation formula of step S32 for fitting to determine the values ​​of a1, a2, a3, b1, b2 and b3.

4. The electromagnetic coupling intelligent analysis method based on big data according to claim 3 is characterized by: The method steps of step S4 are: S41. Perform real-time analysis on the collected environmental data to determine the temperature W0, humidity S0, noise Z0 and electromagnetic field strength D0 in the current electromagnetic coupling device; calculate the current electromagnetic coupling efficiency prediction value based on W0, S0, Z0, D0 and the established coupling efficiency analysis model. S42, analyze the collected current and voltage data in real time, and determine the actual value of the current electromagnetic coupling efficiency based on the current current and voltage of the primary coil and the current and voltage of the secondary coil. Monitor the electromagnetic coupling in the electromagnetic coupling device. and For comparison, When the electromagnetic coupling is normal, continue monitoring; when When the electromagnetic coupling is abnormal, execute step S5.

5. The electromagnetic coupling intelligent analysis method based on big data according to claim 4 is characterized in that: Managers can view the alarm information of abnormal electromagnetic coupling devices and the real-time analysis results of collected environmental data through mobile terminals; the alarm information includes the device number of the abnormal electromagnetic coupling device, the current electromagnetic coupling efficiency prediction value and the actual value.

6. An electromagnetic coupling intelligent analysis system based on big data, characterized in that: The system includes an equipment control module, a data acquisition module, a model intelligent analysis module, a real-time monitoring module and an interaction module; The device control module is used to control the operation of the electromagnetic coupling device, and the primary coil in the electromagnetic coupling device transmits electrical energy to the secondary coil through electromagnetic coupling; The data acquisition module is used to collect current and voltage data in the electromagnetic coupling device in the equipment control module and environmental data when the electromagnetic coupling device is operating; the current and voltage data include the current and voltage of the primary coil and the secondary coil; the environmental data include the temperature, humidity, noise and electromagnetic field strength in the electromagnetic coupling device; the collected current and voltage data and environmental data are sent to the model intelligent analysis module and the real-time monitoring module; The model intelligent analysis module is used to store the current, voltage data and environmental data sent by the data acquisition module as historical data in a database; based on the historical data stored in the database, a coupling efficiency analysis model is established to analyze the influence of different environmental data on the electromagnetic coupling efficiency in the electromagnetic coupling device; The real-time monitoring module is used to perform real-time analysis on the collected environmental data, and calculate the current electromagnetic coupling efficiency prediction value according to the real-time analysis results of the environmental data and the established coupling efficiency analysis model; Perform real-time analysis on the collected current and voltage data to determine the actual value of the current electromagnetic coupling efficiency; monitor the electromagnetic coupling in the electromagnetic coupling device based on the current electromagnetic coupling efficiency prediction value and actual value to determine whether there is any abnormality; if the electromagnetic coupling is normal, continue monitoring; If the electromagnetic coupling is abnormal, the abnormal alarm information is sent to the interaction module; The interactive module is used for the management personnel to view the alarm information of abnormal electromagnetic coupling devices and the real-time analysis results of the collected environmental data through the mobile terminal; The alarm information includes the device number of the abnormal electromagnetic coupling device, the current electromagnetic coupling efficiency prediction value and the actual value.

7. The electromagnetic coupling intelligent analysis system based on big data according to claim 6 is characterized by: The model intelligent analysis module includes a database, a history analysis unit and a model training unit; The database is used to store historical current and voltage data and historical environmental data, and to continuously update the database; The historical analysis unit is used to retrieve historical data of the electromagnetic coupling device during normal operation from the database for analysis, determine the current and voltage of the primary coil and the current and voltage of the secondary coil at different timestamps, and determine the temperature, humidity, noise and electromagnetic field strength in the electromagnetic coupling device at different timestamps; Calculate the electromagnetic coupling efficiency in the electromagnetic coupling device at different time stamps; The model training unit is used to establish a coupling efficiency analysis model to analyze the influence of different environmental data on the electromagnetic coupling efficiency in the electromagnetic coupling device.

8. The electromagnetic coupling intelligent analysis system based on big data according to claim 7 is characterized by: The real-time monitoring module includes a real-time analysis unit, an intelligent calculation unit and an intelligent judgment unit; The real-time analysis unit is used to perform real-time analysis on the collected environmental data, determine the temperature, humidity, noise and electromagnetic field strength in the current electromagnetic coupling device, and determine the real value of the current electromagnetic coupling efficiency; The intelligent calculation unit is used to calculate the current electromagnetic coupling efficiency prediction value according to the current temperature, humidity, noise and electromagnetic field strength in the electromagnetic coupling device and the established coupling efficiency analysis model; The intelligent judgment unit is used to monitor the electromagnetic coupling in the electromagnetic coupling device to determine whether an abnormality occurs; if the electromagnetic coupling is normal, continue monitoring; If the electromagnetic coupling is abnormal, an abnormal alarm message will be sent to the management personnel.

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