A processing method, system and medium for wireless charging risk management

Abstract

The present application provides a processing method, system and medium for wireless charging risk management, belonging to the fields of charging risk management and big data technology. The method includes: obtaining device identification information, extracting device basic information and charging requirement information, obtaining charging strategy information and performing charging, obtaining charging monitoring information, extracting temperature rise rate data, charging voltage stability data and power adjustment rate data, respectively processing to obtain temperature rise rate abnormal data, voltage stability abnormal data and power adjustment over-standard data, processing to obtain a charging risk evaluation index and determining whether the requirements are met. By monitoring important operating parameters during the charging process in real time, the present application can timely detect potential charging safety risks, which helps prevent device damage or safety accidents caused by overheating, unstable voltage or improper power adjustment. By quantifying the risk level during the charging process with an index, it provides a basis for taking preventive measures in a timely manner.

Description

Technical Field

[0001] The present application relates to the fields of charging risk management and big data technology. Specifically, it relates to a processing method, system and medium for wireless charging risk management. Background Art

[0002] With the popularization of products such as smart phones, wearable devices, and electric vehicles, wireless charging technology, as a convenient and efficient charging method, has been favored by a large number of users. However, wireless charging technology also faces many risks during application, such as electromagnetic radiation, energy transmission efficiency, device compatibility and other issues, which are directly related to user safety and device performance.

[0003] The current wireless charging technology is still not perfect, especially for potential safety accidents during the charging process. In order to ensure the safe, efficient and reliable application of wireless charging technology, risk management has become an essential and important link, and there is still a lack of a technical method for monitoring important charging indicators during the charging process and performing corresponding risk analysis.

[0004] In view of the above problems, there is an urgent need for effective technical solutions at present. Summary of the Invention

[0005] The purpose of the present application is to provide a processing method, system and medium for wireless charging risk management, which can obtain device identification information, extract device basic information and charging demand information, obtain charging strategy information and perform charging, obtain charging monitoring information, extract temperature rise rate data, charging voltage stability data and power adjustment rate data, respectively process and obtain temperature rise rate abnormal data, voltage stability abnormal data and power adjustment over-standard data, and process through a preset charging risk evaluation model to obtain a charging risk evaluation index and determine whether it meets the requirements. The present application can timely discover potential charging safety risks by real-time monitoring important operating parameters during the charging process, which helps to prevent device damage or safety accidents caused by overheating, unstable voltage or improper power adjustment, and provides a basis for timely taking preventive measures by quantifying the risk level during the charging process through an index.

[0006] The present application provides a processing method for wireless charging risk management, including the following steps:

[0007] Obtain device identification information in a preset area, extract device basic information and charging demand information, obtain charging strategy information and perform charging;

[0008] Obtain charging monitoring information, and extract temperature rise rate data, charging voltage stability data and power adjustment rate data;

[0009] Compare the temperature rise rate data with a preset temperature rise rate threshold to obtain temperature rise rate anomaly data;

[0010] Compare the charging voltage stability data with a preset voltage stability threshold to obtain voltage stability anomaly data;

[0011] Compare the power adjustment rate data with a preset power adjustment rate threshold to obtain power adjustment over-standard data;

[0012] Process the temperature rise rate anomaly data, voltage stability anomaly data, and power adjustment over-standard data through a preset charging risk evaluation model to obtain a charging risk evaluation index.

[0013] Among them, in a processing method for wireless charging risk management described in this application, the obtaining of device identification information in a preset area, extracting device basic information and charging requirement information, obtaining charging strategy information and performing charging is specifically as follows:

[0014] Extract device type information, coordinate information, and identity authentication information according to the device basic information;

[0015] Extract device battery information, charging speed information, and charging power information according to the charging requirement information;

[0016] Query through a preset charging strategy database according to the device type information, coordinate information, and identity authentication information combined with the device battery information, charging speed information, and charging power information to obtain charging strategy information and perform charging.

[0017] Among them, in a processing method for wireless charging risk management described in this application, the comparing the temperature rise rate data with a preset temperature rise rate threshold to obtain temperature rise rate anomaly data is specifically as follows:

[0018] Compare the temperature rise rate data with a preset temperature rise rate threshold;

[0019] If the temperature rise rate data is greater than or equal to the temperature rise rate threshold, obtain over-fast temperature rise data and start timing to obtain over-fast temperature rise duration data;

[0020] Compare the over-fast temperature rise duration data with a preset duration threshold;

[0021] If the over-fast temperature rise duration data is greater than or equal to the duration threshold, the device working state is abnormal, and temperature rise rate anomaly data is obtained.

[0022] Among them, in a processing method for wireless charging risk management described in this application, the step of comparing the charging voltage stability data with a preset voltage stability threshold to obtain voltage stability abnormal data is specifically as follows:

[0023] Compare the charging voltage stability data with a preset voltage stability threshold to obtain a voltage stability deviation rate;

[0024] Compare the voltage stability deviation rate with a preset voltage stability deviation rate threshold;

[0025] If the voltage stability deviation rate is less than the voltage stability deviation rate threshold, the charging state of the device is normal;

[0026] If the voltage stability deviation rate is greater than or equal to the voltage stability deviation rate threshold, the charging state of the device is abnormal, and voltage stability abnormal data is obtained.

[0027] Among them, in a processing method for wireless charging risk management described in this application, the step of comparing the power adjustment rate data with a preset power adjustment rate threshold to obtain power adjustment over-standard data is specifically as follows:

[0028] Compare the power adjustment rate data with a preset power adjustment rate threshold to obtain a power adjustment rate deviation rate;

[0029] Compare the power adjustment rate deviation rate with a preset adjustment rate deviation rate threshold;

[0030] If the power adjustment rate deviation rate is less than the adjustment rate deviation rate threshold, the charging state of the device is normal;

[0031] If the power adjustment rate deviation rate is greater than or equal to the adjustment rate deviation rate threshold, the charging state of the device is abnormal, and power adjustment over-standard data is obtained.

[0032] In a second aspect, this application provides a processing system for wireless charging risk management. The system includes: a memory and a processor. The memory includes a program for a processing method for wireless charging risk management. When the program for the processing method for wireless charging risk management is executed by the processor, the following steps are implemented:

[0033] Obtain device identification information in a preset area, extract device basic information and charging requirement information, obtain charging strategy information and execute charging;

[0034] Obtain charging monitoring information, and extract temperature rise rate data, charging voltage stability data, and power adjustment rate data;

[0035] Compare the temperature rise rate data with a preset temperature rise rate threshold to obtain temperature rise rate anomaly data;

[0036] Compare the charging voltage stability data with a preset voltage stability threshold to obtain voltage stability anomaly data;

[0037] Compare the power adjustment rate data with a preset power adjustment rate threshold to obtain power adjustment over-standard data;

[0038] Process the temperature rise rate anomaly data, voltage stability anomaly data, and power adjustment over-standard data through a preset charging risk evaluation model to obtain a charging risk evaluation index.

[0039] Among them, in a processing system for wireless charging risk management described in this application, the obtaining of device identification information in a preset area, extracting device basic information and charging demand information, obtaining charging strategy information, and performing charging are specifically as follows:

[0040] Extract device type information, coordinate information, and identity authentication information according to the device basic information;

[0041] Extract device battery information, charging speed information, and charging power information according to the charging demand information;

[0042] Query through a preset charging strategy database according to the device type information, coordinate information, and identity authentication information in combination with the device battery information, charging speed information, and charging power information to obtain charging strategy information and perform charging.

[0043] Among them, in a processing system for wireless charging risk management described in this application, the comparing the temperature rise rate data with a preset temperature rise rate threshold to obtain temperature rise rate anomaly data is specifically as follows:

[0044] Compare the temperature rise rate data with a preset temperature rise rate threshold;

[0045] If the temperature rise rate data is greater than or equal to the temperature rise rate threshold, obtain data on too fast temperature rise and start timing to obtain data on the duration of too fast temperature rise;

[0046] Compare the data on the duration of too fast temperature rise with a preset duration threshold;

[0047] If the data on the duration of too fast temperature rise is greater than or equal to the duration threshold, the device working state is abnormal, and temperature rise rate anomaly data is obtained.

[0048] Among them, in a processing system for wireless charging risk management described in the present application, comparing the charging voltage stability data with a preset voltage stability threshold to obtain voltage stability abnormal data specifically includes:

[0049] Comparing the charging voltage stability data with a preset voltage stability threshold to obtain a voltage stability deviation rate;

[0050] Comparing the voltage stability deviation rate with a preset voltage stability deviation rate threshold;

[0051] If the voltage stability deviation rate is less than the voltage stability deviation rate threshold, the charging state of the device is normal;

[0052] If the voltage stability deviation rate is greater than or equal to the voltage stability deviation rate threshold, the charging state of the device is abnormal, and voltage stability abnormal data is obtained.

[0053] In a third aspect, the present application also provides a computer-readable storage medium, which includes a processing method program for wireless charging risk management. When the processing method program for wireless charging risk management is executed by a processor, the steps of a processing method for wireless charging risk management as described in any one of the above are implemented.

[0054] As can be seen from the above, a processing method, system, and medium for wireless charging risk management provided by an embodiment of the present application obtain device identification information in a preset area, extract basic device information and charging requirement information, obtain charging strategy information and execute charging, then obtain charging monitoring information, extract temperature rise rate data, charging voltage stability data, and power adjustment rate data, compare the temperature rise rate data with a preset temperature rise rate threshold to obtain temperature rise rate abnormal data, compare the charging voltage stability data with a preset voltage stability threshold to obtain voltage stability abnormal data, compare the power adjustment rate data with a preset power adjustment rate threshold to obtain power adjustment over-standard data, and process the temperature rise rate abnormal data, voltage stability abnormal data, and power adjustment over-standard data through a preset charging risk evaluation model to obtain a charging risk evaluation index and determine whether it meets the requirements. The present application can timely detect potential charging safety risks by real-time monitoring of important operating parameters during the charging process, which helps prevent device damage or safety accidents caused by overheating, unstable voltage, or improper power adjustment. By quantifying the risk level during the charging process with an index, it provides an intuitive and quantifiable risk assessment tool for management personnel, helping them more accurately understand the safety status of the charging process. By optimizing the charging strategy and performing precise charging control, it can ensure that the device charges at the fastest speed under safe conditions, which not only improves the charging efficiency but also enhances the safety of the charging process and extends the service life of the device. Analyzing and making decisions based on real-time data and historical data makes the charging management more scientific, objective, and accurate.

[0055] Other features and advantages of the present application will be described in the subsequent specification, and, in part, will become apparent from the specification or be understood by implementing the embodiments of the present application. The objectives and other advantages of the present application can be achieved and obtained by the structures specifically pointed out in the written specification and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings required for use in the embodiments of the present application. It should be understood that the following drawings only show some embodiments of the present application and should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0057] Figure 1 It is a flowchart of a processing method for wireless charging risk management provided by an embodiment of the present application;

[0058] Figure 2 It is a flowchart of obtaining charging strategy information and executing charging of a processing method for wireless charging risk management provided by an embodiment of the present application;

[0059] Figure 3 Flow chart for obtaining abnormal data of temperature rise rate in a method for processing wireless charging risk management provided by an embodiment of the present application;

[0060] Figure 4 Flow chart for obtaining abnormal data of voltage stability in a method for processing wireless charging risk management provided by an embodiment of the present application;

[0061] Figure 5 Flow chart for obtaining data with excessive power regulation in a method for processing wireless charging risk management provided by an embodiment of the present application. Detailed implementation manners

[0062] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and illustrated herein usually can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the claimed present application, but merely represents selected embodiments of the present application. All other embodiments obtained by those skilled in the art based on the embodiments of the present application without creative efforts fall within the scope of protection of the present application.

[0063] It should be noted that similar reference numerals and letters denote similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of the present application, terms such as "first", "second", etc. are only used for descriptive distinction and cannot be understood as indicating or implying relative importance. It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant laws, regulations, and standards of relevant countries and regions.

[0064] Please refer to Figure 1 , Figure 1 which is a flow chart of a method for processing wireless charging risk management in some embodiments of the present application. This method for processing wireless charging risk management is used in terminal devices, such as computers, mobile phone terminals, etc. This method for processing wireless charging risk management includes the following steps:

[0065] S101. Obtain the device identification information of a preset area, extract the basic device information and charging requirement information, obtain the charging strategy information and execute charging;

[0066] S102. Obtain the charging monitoring information, and extract the temperature rise rate data, charging voltage stability data and power adjustment rate data;

[0067] S103. Compare the temperature rise rate data with a preset temperature rise rate threshold to obtain the temperature rise rate abnormal data;

[0068] S104. Compare the charging voltage stability data with a preset voltage stability threshold to obtain the voltage stability abnormal data;

[0069] S105. Compare the power adjustment rate data with a preset power adjustment rate threshold to obtain the power adjustment over-standard data;

[0070] S106. Process the temperature rise rate abnormal data, voltage stability abnormal data and power adjustment over-standard data through a preset charging risk evaluation model to obtain the charging risk evaluation index.

[0071] Among them, in this application, by obtaining the device identification information of a preset area, extracting the basic device information and charging demand information, obtaining the charging strategy information and performing charging, the charging strategy information includes parameters such as charging current, voltage, and time, as well as protection measures and abnormal handling solutions during the charging process. Then, obtain the charging monitoring information, extract the temperature rise rate data, charging voltage stability data, and power adjustment rate data. The temperature rise rate is an important indicator for evaluating the heat dissipation performance and charging safety of the device. If the temperature rises too fast, it may cause the device to overheat and even trigger safety accidents such as fires. The voltage stability is an important indicator for measuring the quality of the charging power supply and the charging effect of the device. Unstable voltage may cause the device to be undercharged or damaged. The power adjustment rate is an important indicator for evaluating the performance of the charging control system and charging efficiency. If the power adjustment is improper, it may cause the device to charge too slowly or overheat. Compare the temperature rise rate data with the preset temperature rise rate threshold to obtain the temperature rise rate abnormal data. Compare the charging voltage stability data with the preset voltage stability threshold to obtain the voltage stability abnormal data. Compare the power adjustment rate data with the preset power adjustment rate threshold to obtain the power adjustment exceeding standard data. Process the temperature rise rate abnormal data, voltage stability abnormal data, and power adjustment exceeding standard data through a preset charging risk evaluation model to obtain the charging risk evaluation index and determine whether it meets the requirements. This application can timely detect potential charging safety risks by real-time monitoring important operating parameters during the charging process, which helps prevent device damage or safety accidents caused by overheating, unstable voltage, or improper power adjustment. By quantifying the risk level during the charging process with an index, it provides an intuitive and quantifiable risk assessment tool for management personnel, helping them more accurately understand the safety status of the charging process. By optimizing the charging strategy and performing precise charging control, it can ensure that the device charges at the fastest speed under safe conditions, which not only improves the charging efficiency but also enhances the safety of the charging process and extends the service life of the device. Analyzing and making decisions based on real-time data and historical data makes the charging management more scientific, objective, and accurate;

[0072] The calculation formula of the charging risk evaluation model is:

[0073] ;

[0074] Wherein, is the charging risk evaluation index, are the temperature rise rate abnormal data, voltage stability abnormal data, and power adjustment exceeding standard data respectively, is the preset characteristic coefficient (the preset characteristic coefficient is obtained by querying the preset charging monitoring database).

[0075] Please refer to Figure 2 , Figure 2It is a flowchart of obtaining charging strategy information and performing charging for a wireless charging risk management processing method in some embodiments of the present application. According to an embodiment of the present invention, the obtaining device identification information in a preset area, extracting device basic information and charging demand information, obtaining charging strategy information and performing charging are specifically as follows:

[0076] S201. Extract device type information, coordinate information, and identity authentication information according to the device basic information;

[0077] S202. Extract device power information, charging speed information, and charging power information according to the charging demand information;

[0078] S203. Query through a preset charging strategy database according to the device type information, coordinate information, and identity authentication information combined with the device power information, charging speed information, and charging power information to obtain charging strategy information and perform charging.

[0079] Among them, in order to obtain charging strategy information, device type information, coordinate information, and identity authentication information are extracted according to device basic information. Device type information refers to the type or model of the device, such as a smartphone, a tablet computer, an electric vehicle, etc. Coordinate information helps to determine whether the device is located in a preset charging area and whether the device needs to be moved for charging. Identity authentication information helps to ensure that only legal devices can access the charging system, improving the security of the charging process. Device power information, charging speed information, and charging power information are extracted according to the charging demand information. Device power information refers to the current remaining power or battery status of the device. Charging speed information refers to the desired charging speed or charging time of the device, which helps to determine parameters such as current and voltage in the charging strategy. Charging power information refers to the maximum charging power or charging capacity supported by the device, which helps to ensure power matching and security during the charging process. Query through a preset charging strategy database according to the device type information, coordinate information, and identity authentication information combined with the device power information, charging speed information, and charging power information to obtain charging strategy information and perform charging.

[0080] Please refer to Figure 3 , Figure 3 It is a flowchart of obtaining abnormal temperature rise rate data for a wireless charging risk management processing method in some embodiments of the present application. According to an embodiment of the present invention, the comparing the temperature rise rate data with a preset temperature rise rate threshold to obtain abnormal temperature rise rate data is specifically as follows:

[0081] S301. Compare the temperature rise rate data with a preset temperature rise rate threshold;

[0082] S302. If the temperature rise rate data is greater than or equal to the temperature rise rate threshold, obtain the data of too rapid temperature rise and start timing to obtain the data of the duration of too rapid temperature rise.

[0083] S303. Compare the data of the duration of too rapid temperature rise with the preset duration threshold.

[0084] S304. If the data of the duration of too rapid temperature rise is greater than or equal to the duration threshold, the working state of the device is abnormal, and obtain the data of abnormal temperature rise rate.

[0085] Among them, in order to obtain the data of abnormal temperature rise rate, compare the temperature rise rate data with the preset temperature rise rate threshold. If the temperature rise rate data is greater than or equal to the temperature rise rate threshold, obtain the data of too rapid temperature rise and start timing to obtain the data of the duration of too rapid temperature rise. This duration is the time period from when the system detects the abnormal temperature rise rate to when the temperature rise rate returns to the normal range (or the charging process ends). Compare the data of the duration of too rapid temperature rise with the preset duration threshold. If the data of the duration of too rapid temperature rise is greater than or equal to the duration threshold, obtain the data of abnormal temperature rise rate, and the working state of the device is abnormal, which means that the device has a serious overheating risk and may even cause device damage or safety accidents.

[0086] Please refer to Figure 4 , Figure 4 is a flowchart of obtaining abnormal voltage stability data in a method for managing wireless charging risks in some embodiments of the present application. According to an embodiment of the present invention, the comparison of the charging voltage stability data with the preset voltage stability threshold to obtain the abnormal voltage stability data is specifically as follows:

[0087] S401. Compare the charging voltage stability data with the preset voltage stability threshold to obtain the voltage stability deviation rate.

[0088] S402. Compare the voltage stability deviation rate with the preset voltage stability deviation rate threshold.

[0089] S403. If the voltage stability deviation rate is less than the voltage stability deviation rate threshold, the charging state of the device is normal.

[0090] S404. If the voltage stability deviation rate is greater than or equal to the voltage stability deviation rate threshold, the charging state of the device is abnormal, and obtain the abnormal voltage stability data.

[0091] Among them, in order to obtain abnormal data of voltage stability, the charging voltage stability data is compared with a preset voltage stability threshold value to obtain a voltage stability deviation rate, which can quantify the difference between the actual voltage stability and the ideal voltage stability. By comparing the voltage stability deviation rate with a preset voltage stability deviation rate threshold value, if the voltage stability deviation rate is less than the voltage stability deviation rate threshold value, the charging state of the device is considered normal and the charging operation can continue. If the voltage stability deviation rate is greater than or equal to the voltage stability deviation rate threshold value, the charging state of the device is considered abnormal, and it is necessary to record or report the abnormal data of voltage stability and may need to take further measures, such as stopping charging, checking the device or adjusting the charging conditions, and obtain the abnormal data of voltage stability.

[0092] Please refer to Figure 5 , Figure 5 is a flowchart for obtaining power regulation over-standard data of a wireless charging risk management processing method in some embodiments of the present application. According to an embodiment of the present invention, the comparing the power regulation rate data with a preset power regulation rate threshold value to obtain power regulation over-standard data specifically includes:

[0093] S501. Compare the power regulation rate data with a preset power regulation rate threshold value to obtain a power regulation rate deviation rate;

[0094] S502. Compare the power regulation rate deviation rate with a preset regulation rate deviation rate threshold value;

[0095] S503. If the power regulation rate deviation rate is less than the regulation rate deviation rate threshold value, the charging state of the device is normal;

[0096] S504. If the power regulation rate deviation rate is greater than or equal to the regulation rate deviation rate threshold value, the charging state of the device is abnormal, and power regulation over-standard data is obtained.

[0097] Among them, in order to obtain power regulation over-standard data, the power regulation rate data is compared with a preset power regulation rate threshold value to obtain a power regulation rate deviation rate, which is used to quantify the difference between the actual power regulation rate and the ideal power regulation rate. By comparing the power regulation rate deviation rate with a preset regulation rate deviation rate threshold value, if the power regulation rate deviation rate is less than the regulation rate deviation rate threshold value, the charging state of the device is considered normal, and the power regulation rate is within an acceptable range, and the charging operation can continue. If the power regulation rate deviation rate is greater than or equal to the regulation rate deviation rate threshold value, the charging state of the device is considered abnormal, and the power regulation rate exceeds the acceptable range, and it is necessary to record or report the power regulation over-standard data and may need to take further measures, such as adjusting the charging strategy, checking the device or stopping charging, etc., and obtain the power regulation over-standard data.

[0098] According to an embodiment of the present invention, it further includes:

[0099] Obtain multiple charging risk evaluation indexes in a preset area and calculate to obtain an average charging risk evaluation index;

[0100] According to the average charging risk evaluation index, correct the charging risk evaluation index through a preset risk correction model to obtain a corrected charging risk evaluation index;

[0101] Compare the corrected charging risk evaluation index with a preset risk evaluation index threshold;

[0102] If the corrected charging risk evaluation index is greater than or equal to the risk evaluation index threshold, the charging risk exceeds the controllable range;

[0103] If the corrected charging risk evaluation index is less than the risk evaluation index threshold, the charging risk is controllable.

[0104] Among them, in order to evaluate the risks existing during the charging process and achieve controllable charging risks, multiple charging risk evaluation indexes in a preset area are obtained and calculated to obtain an average charging risk evaluation index, the charging risk evaluation index is corrected through a preset risk correction model to obtain a corrected charging risk evaluation index, and then compared with a preset risk evaluation index threshold. If the corrected charging risk evaluation index is greater than or equal to the risk evaluation index threshold, it indicates that the charging risk is relatively high and exceeds the acceptable range, and corresponding measures need to be taken for risk control. If the corrected charging risk evaluation index is less than the risk evaluation index threshold, it indicates that the charging risk is within the controllable range and normal charging operations can continue;

[0105] The calculation formula of the risk correction model is:

[0106] ;

[0107] Wherein, is the corrected charging risk evaluation index, is the charging risk evaluation index, is the average charging risk evaluation index, is a preset characteristic coefficient (the preset characteristic coefficient is obtained by querying a preset charging monitoring database).

[0108] According to an embodiment of the present invention, it further includes:

[0109] Extract electromagnetic radiation energy intensity data according to the charging monitoring information;

[0110] Compare the electromagnetic radiation energy intensity data with a preset first energy intensity threshold and a second energy intensity threshold respectively, where the first energy intensity threshold is less than the second energy intensity threshold;

[0111] If the electromagnetic radiation energy intensity data is less than the first energy intensity threshold, the radiation energy is low;

[0112] If the electromagnetic radiation energy intensity data is greater than or equal to the first energy intensity threshold and less than or equal to the second energy intensity threshold, the radiation energy is medium and a maintenance information is sent;

[0113] If the electromagnetic radiation energy intensity data is greater than the second energy intensity threshold, the radiation energy is high and a radiation warning information is sent.

[0114] Among them, in order to reduce the electromagnetic radiation during the charging process and ensure personal safety, the electromagnetic radiation energy intensity data is extracted according to the charging monitoring information and compared with a preset first energy intensity threshold and a second energy intensity threshold respectively. The first energy intensity threshold is less than the second energy intensity threshold. If the electromagnetic radiation energy intensity data is less than the first energy intensity threshold, the radiation energy is low, indicating that the electromagnetic radiation during the current wireless charging process is at a very safe level. If the electromagnetic radiation energy intensity data is greater than or equal to the first energy intensity threshold and less than or equal to the second energy intensity threshold, the radiation energy is medium and a maintenance information is sent, indicating that although the electromagnetic radiation during the current wireless charging process is still within the safe range, it may be close to or reach the tolerance limit of some sensitive devices, and it is necessary to send the maintenance information to relevant personnel for further inspection and maintenance. If the electromagnetic radiation energy intensity data is greater than the second energy intensity threshold, the radiation energy is high and a radiation warning information is sent, indicating that the electromagnetic radiation during the current wireless charging process has exceeded the safe range, which may have an adverse impact on human health or the surrounding environment. It is necessary to immediately send the radiation warning information to relevant personnel and take corresponding measures to reduce the electromagnetic radiation level.

[0115] The present invention also discloses a processing system for wireless charging risk management, including a memory and a processor. The memory includes a processing method program for wireless charging risk management. When the processing method program for wireless charging risk management is executed by the processor, the following steps are implemented:

[0116] Obtain the device identification information of a preset area, extract the device basic information and charging demand information, obtain the charging strategy information and perform charging;

[0117] Obtain the charging monitoring information, and extract the temperature rise rate data, charging voltage stability data and power adjustment rate data;

[0118] Compare the temperature rise rate data with a preset temperature rise rate threshold to obtain temperature rise rate anomaly data;

[0119] Compare the charging voltage stability data with a preset voltage stability threshold to obtain voltage stability anomaly data;

[0120] Compare the power adjustment rate data with a preset power adjustment rate threshold to obtain power adjustment over-standard data;

[0121] Process the temperature rise rate anomaly data, voltage stability anomaly data, and power adjustment over-standard data through a preset charging risk evaluation model to obtain a charging risk evaluation index.

[0122] Among them, in this application, device identification information in a preset area is obtained, basic device information and charging requirement information are extracted, charging strategy information is obtained and charging is executed. The charging strategy information includes parameters such as charging current, voltage, and time, as well as protection measures and exception handling solutions during the charging process. Then, charging monitoring information is obtained, and data on the temperature rise rate, charging voltage stability, and power adjustment rate are extracted. The temperature rise rate is an important indicator for evaluating the heat dissipation performance and charging safety of the device. If the temperature rises too fast, it may cause the device to overheat and even trigger safety accidents such as fires. The voltage stability is an important indicator for measuring the quality of the charging power supply and the charging effect of the device. Unstable voltage may lead to insufficient charging or damage to the device. The power adjustment rate is an important indicator for evaluating the performance of the charging control system and charging efficiency. If the power is adjusted improperly, it may cause the device to charge too slowly or overheat. By comparing the temperature rise rate data with a preset temperature rise rate threshold, temperature rise rate abnormal data is obtained. By comparing the charging voltage stability data with a preset voltage stability threshold, voltage stability abnormal data is obtained. By comparing the power adjustment rate data with a preset power adjustment rate threshold, power adjustment over-standard data is obtained. According to the temperature rise rate abnormal data, voltage stability abnormal data, and power adjustment over-standard data, they are processed through a preset charging risk evaluation model to obtain a charging risk evaluation index and determine whether it meets the requirements. In this application, by real-time monitoring of important operating parameters during the charging process, potential charging safety risks can be discovered in a timely manner, which helps to prevent device damage or safety accidents caused by overheating, unstable voltage, or improper power adjustment. By quantifying the risk level during the charging process with an index, an intuitive and quantifiable risk assessment tool is provided for management personnel, which helps them to more accurately understand the safety status of the charging process. By optimizing the charging strategy and implementing precise charging control, it can ensure that the device charges at the fastest speed under safe conditions, which not only improves the charging efficiency but also enhances the safety of the charging process and extends the service life of the device. Based on the analysis and decision-making of real-time data and historical data, the charging management becomes more scientific, objective, and accurate;

[0123] The calculation formula of the charging risk evaluation model is as follows:

[0124] ;

[0125] Wherein, is the charging risk evaluation index, are respectively the temperature rise rate abnormal data, voltage stability abnormal data, and power adjustment over-standard data, is a preset characteristic coefficient (the preset characteristic coefficient is obtained by querying a preset charging monitoring database).

[0126] According to an embodiment of the present invention, the method of obtaining device identification information of a preset area, extracting basic device information and charging requirement information, obtaining charging strategy information and performing charging is specifically as follows:

[0127] Extract device type information, coordinate information, and identity authentication information according to the basic device information;

[0128] Extract device power information, charging speed information, and charging power information according to the charging requirement information;

[0129] Query through a preset charging strategy database according to the device type information, coordinate information, and identity authentication information in combination with the device power information, charging speed information, and charging power information to obtain charging strategy information and perform charging.

[0130] Among them, in order to obtain charging strategy information, device type information, coordinate information, and identity authentication information are extracted according to the basic device information. Device type information refers to the type or model of the device, such as a smartphone, a tablet computer, an electric vehicle, etc. Coordinate information helps to determine whether the device is located in a preset charging area and whether it is necessary to move the device for charging. Identity authentication information helps to ensure that only legitimate devices can access the charging system, improving the security of the charging process. Device power information, charging speed information, and charging power information are extracted according to the charging requirement information. Device power information refers to the current remaining power or battery status of the device. Charging speed information refers to the desired charging speed or charging time of the device, which helps to determine parameters such as current and voltage in the charging strategy. Charging power information refers to the maximum charging power or charging capacity supported by the device, which helps to ensure power matching and security during the charging process. Query through a preset charging strategy database according to the device type information, coordinate information, and identity authentication information in combination with the device power information, charging speed information, and charging power information to obtain charging strategy information and perform charging.

[0131] According to an embodiment of the present invention, the method of comparing the temperature rise rate data with a preset temperature rise rate threshold to obtain temperature rise rate abnormal data is specifically as follows:

[0132] Compare the temperature rise rate data with a preset temperature rise rate threshold;

[0133] If the temperature rise rate data is greater than or equal to the temperature rise rate threshold, obtain overheating data and start timing to obtain overheating duration data;

[0134] Compare the overheating duration data with a preset duration threshold;

[0135] If the duration data of the excessive temperature rise is greater than or equal to the duration threshold, the operating state of the device is abnormal, and abnormal data of the temperature rise rate is obtained.

[0136] Among them, in order to obtain the abnormal data of the temperature rise rate, compare the temperature rise rate data with the preset temperature rise rate threshold. If the temperature rise rate data is greater than or equal to the temperature rise rate threshold, obtain the data of excessive temperature rise and start timing to obtain the duration data of excessive temperature rise. This duration is the time period from when the system detects the abnormal temperature rise rate until the temperature rise rate returns to the normal range (or the charging process ends). Compare the duration data of excessive temperature rise with the preset duration threshold. If the duration data of excessive temperature rise is greater than or equal to the duration threshold, then obtain the abnormal data of the temperature rise rate, and the operating state of the device is abnormal, which means that the device has a serious overheating risk and may even cause device damage or safety accidents.

[0137] According to an embodiment of the present invention, comparing the charging voltage stability data with a preset voltage stability threshold to obtain voltage stability abnormal data specifically includes:

[0138] Compare the charging voltage stability data with a preset voltage stability threshold to obtain a voltage stability deviation rate;

[0139] Compare the voltage stability deviation rate with a preset voltage stability deviation rate threshold;

[0140] If the voltage stability deviation rate is less than the voltage stability deviation rate threshold, the charging state of the device is normal;

[0141] If the voltage stability deviation rate is greater than or equal to the voltage stability deviation rate threshold, the charging state of the device is abnormal, and voltage stability abnormal data is obtained.

[0142] Among them, in order to obtain the voltage stability abnormal data, compare the charging voltage stability data with a preset voltage stability threshold to obtain a voltage stability deviation rate, which can quantify the difference between the actual voltage stability and the ideal voltage stability. Compare the voltage stability deviation rate with a preset voltage stability deviation rate threshold. If the voltage stability deviation rate is less than the voltage stability deviation rate threshold, the charging state of the device is considered normal and the charging operation can continue. If the voltage stability deviation rate is greater than or equal to the voltage stability deviation rate threshold, the charging state of the device is considered abnormal, and it is necessary to record or report the voltage stability abnormal data, and further measures may be required, such as stopping charging, checking the device, or adjusting the charging conditions, and obtain the voltage stability abnormal data.

[0143] According to an embodiment of the present invention, comparing the power adjustment rate data with a preset power adjustment rate threshold to obtain power adjustment over-standard data, specifically:

[0144] Comparing the power adjustment rate data with a preset power adjustment rate threshold to obtain a power adjustment rate deviation rate;

[0145] Comparing the power adjustment rate deviation rate with a preset adjustment rate deviation rate threshold;

[0146] If the power adjustment rate deviation rate is less than the adjustment rate deviation rate threshold, the charging state of the device is normal;

[0147] If the power adjustment rate deviation rate is greater than or equal to the adjustment rate deviation rate threshold, the charging state of the device is abnormal, and power adjustment over-standard data is obtained.

[0148] Among them, in order to obtain power adjustment over-standard data, the power adjustment rate data is compared with a preset power adjustment rate threshold to obtain a power adjustment rate deviation rate, which is used to quantify the difference between the actual power adjustment rate and the ideal power adjustment rate. The power adjustment rate deviation rate is compared with a preset adjustment rate deviation rate threshold. If the power adjustment rate deviation rate is less than the adjustment rate deviation rate threshold, the charging state of the device is considered normal, and the power adjustment rate is within an acceptable range, and the charging operation can continue. If the power adjustment rate deviation rate is greater than or equal to the adjustment rate deviation rate threshold, the charging state of the device is considered abnormal, and the power adjustment rate exceeds the acceptable range. It is necessary to record or report the power adjustment over-standard data, and further measures may need to be taken, such as adjusting the charging strategy, checking the device or stopping charging, etc., and power adjustment over-standard data is obtained.

[0149] According to an embodiment of the present invention, it further includes:

[0150] Obtaining multiple charging risk evaluation indexes in a preset area and calculating to obtain an average charging risk evaluation index;

[0151] Performing correction processing on the charging risk evaluation index through a preset risk correction model according to the average charging risk evaluation index to obtain a corrected charging risk evaluation index;

[0152] Comparing the corrected charging risk evaluation index with a preset risk evaluation index threshold;

[0153] If the corrected charging risk evaluation index is greater than or equal to the risk evaluation index threshold, the charging risk exceeds the controllable range;

[0154] If the corrected charging risk evaluation index is less than the risk evaluation index threshold, the charging risk is controllable.

[0155] Among them, in order to evaluate the risks existing during the charging process and achieve controllable charging risks, multiple charging risk evaluation indexes in a preset area are obtained and the average charging risk evaluation index is calculated. The charging risk evaluation index is corrected through a preset risk correction model to obtain a corrected charging risk evaluation index, and then it is compared with a preset risk evaluation index threshold. If the corrected charging risk evaluation index is greater than or equal to the risk evaluation index threshold, it indicates that the charging risk is relatively high and exceeds the acceptable range, and corresponding measures need to be taken for risk control. If the corrected charging risk evaluation index is less than the risk evaluation index threshold, it indicates that the charging risk is within the controllable range and normal charging operations can continue;

[0156] The calculation formula of the risk correction model is:

[0157] ;

[0158] Wherein, is the corrected charging risk evaluation index, is the charging risk evaluation index, is the average charging risk evaluation index, is a preset characteristic coefficient (the preset characteristic coefficient is obtained by querying a preset charging monitoring database).

[0159] According to an embodiment of the present invention, it further includes:

[0160] Extract electromagnetic radiation energy intensity data according to the charging monitoring information;

[0161] Compare the electromagnetic radiation energy intensity data with a preset first energy intensity threshold and a second energy intensity threshold respectively, and the first energy intensity threshold is less than the second energy intensity threshold;

[0162] If the electromagnetic radiation energy intensity data is less than the first energy intensity threshold, the radiation energy is low;

[0163] If the electromagnetic radiation energy intensity data is greater than or equal to the first energy intensity threshold and less than or equal to the second energy intensity threshold, the radiation energy is medium and a maintenance information is sent;

[0164] If the electromagnetic radiation energy intensity data is greater than the second energy intensity threshold, the radiation energy is high and a radiation warning information is sent.

[0165] Among them, in order to reduce electromagnetic radiation during charging and ensure personal safety, electromagnetic radiation energy intensity data is extracted according to the charging monitoring information and compared with a preset first energy intensity threshold and a second energy intensity threshold respectively. The first energy intensity threshold is less than the second energy intensity threshold. If the electromagnetic radiation energy intensity data is less than the first energy intensity threshold, the radiation energy is low, indicating that the electromagnetic radiation during the current wireless charging process is at a very safe level. If the electromagnetic radiation energy intensity data is greater than or equal to the first energy intensity threshold and less than or equal to the second energy intensity threshold, the radiation energy is medium and a maintenance information is sent, indicating that although the electromagnetic radiation during the current wireless charging process is still within the safe range, it may be close to or reach the tolerance limit of some sensitive devices, and it is necessary to send the maintenance information to relevant personnel for further inspection and maintenance. If the electromagnetic radiation energy intensity data is greater than the second energy intensity threshold, the radiation energy is high and a radiation warning information is sent, indicating that the electromagnetic radiation during the current wireless charging process has exceeded the safe range and may have an adverse impact on human health or the surrounding environment. It is necessary to immediately send the radiation warning information to relevant personnel and take corresponding measures to reduce the electromagnetic radiation level.

[0166] The third aspect of the present invention provides a computer-readable storage medium, which includes a processing method program for wireless charging risk management. When the processing method program for wireless charging risk management is executed by a processor, the steps of the processing method for wireless charging risk management as described in any one of the above are implemented.

[0167] A processing method, system, and medium for wireless charging risk management disclose that by obtaining device identification information in a preset area, extracting basic device information and charging requirement information, obtaining charging strategy information and performing charging, then obtaining charging monitoring information, extracting temperature rise rate data, charging voltage stability data, and power adjustment rate data, comparing the temperature rise rate data with a preset temperature rise rate threshold to obtain temperature rise rate abnormal data, comparing the charging voltage stability data with a preset voltage stability threshold to obtain voltage stability abnormal data, comparing the power adjustment rate data with a preset power adjustment rate threshold to obtain power adjustment over-standard data, and processing the temperature rise rate abnormal data, voltage stability abnormal data, and power adjustment over-standard data through a preset charging risk evaluation model to obtain a charging risk evaluation index and determine whether it meets the requirements. This application can timely detect potential charging safety risks by real-time monitoring of important operating parameters during the charging process, which helps prevent device damage or safety accidents caused by overheating, unstable voltage, or improper power adjustment. By quantifying the risk level during the charging process with an index, it provides an intuitive and quantifiable risk assessment tool for management personnel, helping them more accurately understand the safety status of the charging process. By optimizing the charging strategy and performing precise charging control, it can ensure that the device is charged at the fastest speed under safe conditions, which not only improves the charging efficiency but also enhances the safety of the charging process and extends the service life of the device. Analyzing and making decisions based on real-time data and historical data makes the charging management more scientific, objective, and accurate.

[0168] In several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there can be other division methods in actual implementation. For example, multiple units or components can be combined, or can be integrated into another system, or some features can be ignored, or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces. The indirect coupling or communication connection of devices or units can be electrical, mechanical, or other forms.

[0169] The units described above as separate components may or may not be physically separated. The components shown as units may or may not be physical units; they can be located in one place or distributed to multiple network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0170] In addition, in each embodiment of the present invention, each functional unit can be fully integrated into one processing unit, or each unit can be separately regarded as one unit, or two or more units can be integrated into one unit; the above integrated unit can be implemented in the form of hardware, or in the form of a combination of hardware and software functional units.

[0171] Those of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions. The foregoing program can be stored in a readable storage medium. When the program is executed, it performs the steps including the above method embodiments; and the foregoing storage medium includes: removable storage devices, read-only memories, random access memories, magnetic disks, or optical disks and other various media that can store program codes.

[0172] Alternatively, if the above integrated unit of the present invention is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiments of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. The software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the various embodiments of the present invention. And the foregoing storage medium includes: removable storage devices, ROM, RAM, magnetic disks, or optical disks and other various media that can store program codes.

Claims

1. A processing method for wireless charging risk management, characterized in that, It includes the following steps: Obtain the device identification information of a preset area, extract the device basic information and charging requirement information, obtain the charging strategy information and execute charging; Obtain the charging monitoring information, and extract the temperature rise rate data, charging voltage stability data and power adjustment rate data; Compare the temperature rise rate data with a preset temperature rise rate threshold to obtain the temperature rise rate abnormal data; Compare the charging voltage stability data with a preset voltage stability threshold to obtain the voltage stability abnormal data; Compare the power adjustment rate data with a preset power adjustment rate threshold to obtain the power adjustment over-standard data; Process the temperature rise rate abnormal data, voltage stability abnormal data and power adjustment over-standard data through a preset charging risk evaluation model to obtain the charging risk evaluation index; The obtaining of the device identification information of the preset area, extracting the device basic information and charging requirement information, obtaining the charging strategy information and executing charging is specifically as follows: Extract the device type information, coordinate information and identity authentication information according to the device basic information; Extract the device battery information, charging speed information and charging power information according to the charging requirement information; Query through a preset charging strategy database according to the device type information, coordinate information and identity authentication information combined with the device battery information, charging speed information and charging power information to obtain the charging strategy information and execute charging; It also includes: Obtain multiple charging risk evaluation indexes of a preset area and calculate to obtain the average charging risk evaluation index; Correct the charging risk evaluation index through a preset risk correction model according to the average charging risk evaluation index to obtain the corrected charging risk evaluation index; Compare the corrected charging risk evaluation index with a preset risk evaluation index threshold; If the corrected charging risk evaluation index is greater than or equal to the risk evaluation index threshold, the charging risk exceeds the controllable range; If the corrected charging risk evaluation index is less than the risk evaluation index threshold, the charging risk is controllable.

2. The processing method for wireless charging risk management according to claim 1, characterized in that, The comparison of the temperature rise rate data with the preset temperature rise rate threshold to obtain the temperature rise rate abnormal data is specifically as follows: Compare the temperature rise rate data with the preset temperature rise rate threshold; If the temperature rise rate data is greater than or equal to the temperature rise rate threshold, obtain the data of too fast temperature rise and start timing to obtain the data of the duration of too fast temperature rise; Compare the data of the duration of too fast temperature rise with a preset duration threshold; If the data of the duration of too fast temperature rise is greater than or equal to the duration threshold, the device working state is abnormal, and the temperature rise rate abnormal data is obtained.

3. The processing method for wireless charging risk management according to claim 2, wherein, The comparison of the charging voltage stability data with the preset voltage stability threshold to obtain the voltage stability abnormal data is specifically as follows: Compare the charging voltage stability data with the preset voltage stability threshold to obtain the voltage stability deviation rate; Compare the voltage stability deviation rate with a preset voltage stability deviation rate threshold; If the voltage stability deviation rate is less than the voltage stability deviation rate threshold, the device charging state is normal; If the voltage stability deviation rate is greater than or equal to the voltage stability deviation rate threshold, the charging state of the device is abnormal, and voltage stability abnormal data is obtained.

4. The processing method for wireless charging risk management according to claim 3, characterized in that, The obtaining of power regulation over-standard data by comparing the power regulation rate data with a preset power regulation rate threshold is specifically as follows: Compare the power regulation rate data with a preset power regulation rate threshold to obtain a power regulation rate deviation rate; Compare the power regulation rate deviation rate with a preset regulation rate deviation rate threshold; If the power regulation rate deviation rate is less than the regulation rate deviation rate threshold, the charging state of the device is normal; If the power regulation rate deviation rate is greater than or equal to the regulation rate deviation rate threshold, the charging state of the device is abnormal, and power regulation over-standard data is obtained.

5. A processing system for wireless charging risk management, characterized in that, It includes a memory and a processor. A processing method program for wireless charging risk management is included in the memory. When the processing method program for wireless charging risk management is executed by the processor, the following steps are implemented: Obtain device identification information in a preset area, extract device basic information and charging demand information, obtain charging strategy information and perform charging; Obtain charging monitoring information, and extract temperature rise rate data, charging voltage stability data and power regulation rate data; Compare the temperature rise rate data with a preset temperature rise rate threshold to obtain temperature rise rate abnormal data; Compare the charging voltage stability data with a preset voltage stability threshold to obtain voltage stability abnormal data; Compare the power regulation rate data with a preset power regulation rate threshold to obtain power regulation over-standard data; Process the temperature rise rate abnormal data, voltage stability abnormal data and power regulation over-standard data through a preset charging risk evaluation model to obtain a charging risk evaluation index; The obtaining of device identification information in a preset area, extraction of device basic information and charging demand information, obtaining of charging strategy information and performing of charging is specifically as follows: Extract device type information, coordinate information and identity authentication information according to the device basic information; Extract device power information, charging speed information and charging power information according to the charging demand information; Query through a preset charging strategy database according to the device type information, coordinate information and identity authentication information combined with the device power information, charging speed information and charging power information to obtain charging strategy information and perform charging; It further includes: Obtain multiple charging risk evaluation indexes in a preset area and calculate to obtain an average charging risk evaluation index; Perform correction processing on the charging risk evaluation index according to the average charging risk evaluation index through a preset risk correction model to obtain a corrected charging risk evaluation index; Compare the corrected charging risk evaluation index with a preset risk evaluation index threshold; If the corrected charging risk evaluation index is greater than or equal to the risk evaluation index threshold, the charging risk exceeds the controllable range; If the corrected charging risk evaluation index is less than the risk evaluation index threshold, the charging risk is controllable.

6. The processing system for wireless charging risk management according to claim 5, characterized in that, The obtaining of temperature rise rate abnormal data by comparing the temperature rise rate data with a preset temperature rise rate threshold is specifically as follows: Compare the temperature rise rate data with a preset temperature rise rate threshold; If the temperature rise rate data is greater than or equal to the temperature rise rate threshold, obtain over-temperature-rise data and start timing to obtain over-temperature-rise duration data; Compare the over-temperature-rise duration data with a preset duration threshold; If the over-temperature-rise duration data is greater than or equal to the duration threshold, the device operating state is abnormal, and over-temperature-rise rate abnormal data is obtained.

7. The processing system for wireless charging risk management according to claim 6, wherein The comparison of the charging voltage stability data with a preset voltage stability threshold to obtain voltage stability abnormal data is specifically as follows: Compare the charging voltage stability data with a preset voltage stability threshold to obtain a voltage stability deviation rate; Compare the voltage stability deviation rate with a preset voltage stability deviation rate threshold; If the voltage stability deviation rate is less than the voltage stability deviation rate threshold, the device charging state is normal; If the voltage stability deviation rate is greater than or equal to the voltage stability deviation rate threshold, the device charging state is abnormal, and voltage stability abnormal data is obtained.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a processing method program for wireless charging risk management. When the processing method program for wireless charging risk management is executed by a processor, the steps of the processing method for wireless charging risk management according to any one of claims 1 to 4 are implemented.

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