Processing method and system for wireless charging risk management and medium

Abstract

The invention provides a processing method and system for wireless charging risk management and a medium, and belongs to the technical field of charging risk management and big data. The method comprises the following steps: acquiring equipment identification information; extracting equipment basic information and charging demand information; acquiring charging strategy information and executing charging; acquiring charging monitoring information; and respectively processing to obtain temperature rise rate abnormal data, voltage stability abnormal data and power regulation standard exceeding data, processing to obtain a charging risk evaluation index, and judging whether the charging risk evaluation index meets requirements or not. According to the invention, by monitoring important operation parameters in the charging process in real time, potential charging safety risks can be found in time, equipment damage or safety accidents caused by overheating, unstable voltage or improper power adjustment can be prevented, the risk level in the charging process is quantified through indexes, and a basis is provided for taking preventive measures in time.

Description

Technical Field

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

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

[0003] Current wireless charging technology is still imperfect, especially for safety accidents that may occur during the charging process. In order to ensure the safe, efficient and reliable application of wireless charging technology, risk management has become an indispensable and important link. There is still a lack of technical methods for monitoring important charging indicators during the charging process and conducting corresponding risk analysis.

[0004] In view of the above problems, effective technical solutions are currently awaited. Summary of the invention

[0005] The purpose of this application is to provide a processing method, system and medium for wireless charging risk management, which can obtain device identification information, extract basic device information and charging demand information, obtain charging strategy information and execute charging, obtain charging monitoring information, extract temperature rise rate data, charging voltage stability data and power regulation rate data, respectively process and obtain abnormal temperature rise rate data, abnormal voltage stability data and power regulation over-standard data, process them through a preset charging risk assessment model, obtain a charging risk assessment index and judge whether it meets the requirements. This application can timely discover potential charging safety risks by real-time monitoring of important operating parameters during the charging process, which helps to prevent equipment damage or safety accidents caused by overheating, voltage instability or improper power regulation. It quantifies the risk level during the charging process through an index, providing a basis for taking preventive measures in a timely manner.

[0006] The present application provides a method for wireless charging risk management, comprising the following steps: Obtain device identification information in a preset area, extract basic device information and charging requirement information, obtain charging strategy information and execute charging; Obtain charging monitoring information, extract temperature rise rate data, charging voltage stability data and power regulation rate data; Comparing the temperature rise rate data with a preset temperature rise rate threshold, obtaining temperature rise rate abnormality data; Comparing the charging voltage stability data with a preset voltage stability threshold value to obtain voltage stability abnormality data; Comparing the power regulation rate data with a preset power regulation rate threshold, obtaining power regulation exceeding standard data; The abnormal temperature rise rate data, the abnormal voltage stability data and the power regulation exceeding standard data are processed by a preset charging risk assessment model to obtain a charging risk assessment index.

[0007] Among them, in a processing method for wireless charging risk management described in the present application, the obtaining of device identification information of a preset area, extracting basic device information and charging requirement information, obtaining charging strategy information and executing charging are specifically: Extracting device type information, coordinate information and identity authentication information according to the basic information of the device; Extracting device power information, charging speed information, and charging power information according to the charging demand information; 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, a preset charging strategy database is queried to obtain charging strategy information and execute charging.

[0008] Among them, in a processing method for wireless charging risk management described in the present application, the temperature rise rate abnormality data is obtained by comparing the temperature rise rate data with a preset temperature rise rate threshold, specifically: Comparing 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, the temperature rise too fast data is obtained and timing is performed to obtain the temperature rise too fast duration data; Comparing the excessively rapid temperature rise duration data with a preset duration threshold; If the duration data of the temperature rise being too fast is greater than or equal to the duration threshold, the device working state is abnormal, and the temperature rise rate abnormal data is obtained.

[0009] Among them, in a processing method for wireless charging risk management described in the present application, the voltage stability abnormality data is obtained by comparing the charging voltage stability data with a preset voltage stability threshold, specifically: Comparing the charging voltage stability data with a preset voltage stability threshold to obtain a voltage stability deviation rate; Comparing 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 status 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 abnormality data is obtained.

[0010] Among them, in a processing method for wireless charging risk management described in the present application, the power regulation rate data is compared with a preset power regulation rate threshold to obtain the power regulation exceeding standard data, specifically: Comparing the power regulation rate data with a preset power regulation rate threshold, obtaining a power regulation rate deviation rate; Comparing 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 device charging status is normal; If the power regulation rate deviation rate is greater than or equal to the regulation rate deviation rate threshold, the device charging state is abnormal, and power regulation exceeding standard data is obtained.

[0011] In a second aspect, the present application provides a wireless charging risk management processing system, the system comprising: a memory and a processor, the memory comprising a program of a wireless charging risk management processing method, the program of the wireless charging risk management processing method being executed by the processor to implement the following steps: Obtain device identification information in a preset area, extract basic device information and charging requirement information, obtain charging strategy information and execute charging; Obtain charging monitoring information, extract temperature rise rate data, charging voltage stability data and power regulation rate data; Comparing the temperature rise rate data with a preset temperature rise rate threshold, obtaining temperature rise rate abnormality data; Comparing the charging voltage stability data with a preset voltage stability threshold value to obtain voltage stability abnormality data; Comparing the power regulation rate data with a preset power regulation rate threshold, obtaining power regulation exceeding standard data; The abnormal temperature rise rate data, the abnormal voltage stability data and the power regulation exceeding standard data are processed by a preset charging risk assessment model to obtain a charging risk assessment index.

[0012] Among them, in a wireless charging risk management processing system described in the present application, the obtaining of device identification information of a preset area, extracting basic device information and charging requirement information, obtaining charging strategy information and executing charging are specifically: Extracting device type information, coordinate information and identity authentication information according to the basic information of the device; Extracting device power information, charging speed information, and charging power information according to the charging demand information; 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, a preset charging strategy database is queried to obtain charging strategy information and execute charging.

[0013] Among them, in a wireless charging risk management processing system described in the present application, the temperature rise rate abnormality data is obtained by comparing the temperature rise rate data with a preset temperature rise rate threshold, specifically: Comparing 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, the temperature rise too fast data is obtained and timing is performed to obtain the temperature rise too fast duration data; Comparing the excessively rapid temperature rise duration data with a preset duration threshold; If the duration data of the temperature rise being too fast is greater than or equal to the duration threshold, the device working state is abnormal, and the temperature rise rate abnormal data is obtained.

[0014] Among them, in the wireless charging risk management processing system described in the present application, the voltage stability abnormality data is obtained by comparing the charging voltage stability data with a preset voltage stability threshold, specifically: Comparing the charging voltage stability data with a preset voltage stability threshold to obtain a voltage stability deviation rate; Comparing 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 status 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 abnormality data is obtained.

[0015] In a third aspect, the present application also provides a computer-readable storage medium, which includes a method program for processing wireless charging risk management. When the method program for processing wireless charging risk management is executed by a processor, the steps of the method for processing wireless charging risk management as described in any one of the above items are implemented.

[0016] As can be seen from the above, the embodiments of the present application provide a processing method, system and medium for wireless charging risk management, which obtains device identification information of a preset area, extracts basic device information and charging demand information, obtains charging strategy information and executes charging, and then obtains charging monitoring information, extracts temperature rise rate data, charging voltage stability data and power regulation rate data, compares the temperature rise rate data with a preset temperature rise rate threshold, obtains temperature rise rate abnormal data, compares the charging voltage stability data with a preset voltage stability threshold, obtains voltage stability abnormal data, compares the power regulation rate data with a preset power regulation rate threshold, obtains power regulation exceeding standard data, and processes the temperature rise rate abnormal data, voltage stability abnormal data and power regulation exceeding standard data through a preset charging risk assessment model to obtain a charging risk assessment index and determine whether the requirements are met. This application can promptly detect potential charging safety risks by real-time monitoring of important operating parameters during the charging process, which helps prevent equipment damage or safety accidents caused by overheating, unstable voltage or improper power regulation. It quantifies the risk level in the charging process by index, and provides managers with an intuitive and quantifiable risk assessment tool to help them more accurately understand the safety status of the charging process. By optimizing charging strategies and performing precise charging control, it can ensure that the equipment 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 equipment. Analysis and decision-making based on real-time and historical data make charging management more scientific, objective and accurate.

[0017] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 A flowchart of a method for wireless charging risk management provided in an embodiment of the present application; Figure 2 A flowchart of obtaining charging strategy information and executing charging in a wireless charging risk management processing method provided in an embodiment of the present application; Figure 3 A flowchart of obtaining abnormal temperature rise rate data of a wireless charging risk management processing method provided in an embodiment of the present application; Figure 4 A flowchart of obtaining voltage stability abnormality data in a wireless charging risk management processing method provided in an embodiment of the present application; Figure 5 A flowchart of obtaining power regulation exceeding standard data in a wireless charging risk management processing method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the 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 of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0021] It should be noted that similar numbers and letters represent similar items in the following figures, so once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description 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 used for analysis, stored data, displayed data, etc.) involved in this 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.

[0022] Please refer to Figure 1 , Figure 1 1 is a flowchart of a method for processing wireless charging risk management in some embodiments of the present application. The method for processing wireless charging risk management is used in terminal devices, such as computers, mobile phone terminals, etc. The method for processing wireless charging risk management includes the following steps: S101, obtaining device identification information of a preset area, extracting basic device information and charging requirement information, obtaining charging strategy information and executing charging; S102, acquiring charging monitoring information, extracting temperature rise rate data, charging voltage stability data, and power regulation rate data; S103, comparing the temperature rise rate data with a preset temperature rise rate threshold to obtain temperature rise rate abnormality data; S104, comparing the charging voltage stability data with a preset voltage stability threshold to obtain voltage stability abnormality data; S105, comparing the power regulation rate data with a preset power regulation rate threshold to obtain power regulation exceeding standard data; S106: Process the abnormal temperature rise rate data, the abnormal voltage stability data, and the power regulation exceeding standard data through a preset charging risk assessment model to obtain a charging risk assessment index.

[0023] Among them, this application obtains the device identification information of the preset area, extracts the basic information of the device and the charging demand information, obtains the charging strategy information and executes charging. The charging strategy information includes parameters such as charging current, voltage, time, and protection measures and abnormal handling solutions during the charging process, and then obtains the charging monitoring information, extracts the temperature rise rate data, charging voltage stability data and power regulation 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 quickly, it may cause the device to overheat or even cause safety accidents such as fire. 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 insufficient charging or damage to the device. The power regulation rate is an important indicator for evaluating the performance of the charging control system and charging efficiency. If the power is improperly regulated, it may cause the device to charge too slowly or overheat. The temperature rise rate data is compared with the preset temperature rise rate threshold to obtain abnormal temperature rise rate data. The charging voltage stability data is compared with the preset voltage stability threshold to obtain abnormal voltage stability data. The power regulation rate data is compared with the preset power regulation rate threshold to obtain power regulation excess data. The abnormal temperature rise rate data, abnormal voltage stability data and power regulation excess data are processed through a preset charging risk assessment model to obtain a charging risk assessment index and determine whether the requirements are met. This application can timely discover potential charging safety risks by real-time monitoring of important operating parameters during the charging process, which helps prevent equipment damage or safety accidents caused by overheating, unstable voltage or improper power regulation. By quantifying the risk level in the charging process through indexes, it provides managers with an intuitive and quantifiable risk assessment tool, which helps them understand the safety status of the charging process more accurately. By optimizing the charging strategy and performing precise charging control, it can ensure that the equipment 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 equipment. Analysis and decision-making based on real-time data and historical data make charging management more scientific, objective and accurate. The calculation formula of the charging risk assessment model is: ; in, is the charging risk assessment index, They are abnormal data of temperature rise rate, abnormal data of voltage stability and data of power regulation exceeding the standard. is the preset characteristic coefficient (the preset characteristic coefficient is obtained by querying the preset charging monitoring database).

[0024] Please refer to Figure 2 , Figure 2 The present invention is a flowchart of a wireless charging risk management processing method for obtaining charging strategy information and executing charging in some embodiments of the present application. According to an embodiment of the present invention, the device identification information of the preset area is obtained, the basic information of the device and the charging requirement information are extracted, the charging strategy information is obtained and the charging is executed, specifically: S201, extracting device type information, coordinate information and identity authentication information according to the basic information of the device; S202, extracting device power information, charging speed information, and charging power information according to the charging demand information; S203: query 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 execute charging.

[0025] Among them, in order to obtain charging strategy information, device type information, coordinate information and identity authentication information are extracted according to the basic information of the device. The device type information refers to the type or model of the device, such as a smart phone, a tablet computer, an electric car, etc. The coordinate information helps to determine whether the device is located in a preset charging area and whether the mobile device needs to be charged. The identity authentication information helps to ensure that only legal devices can access the charging system, thereby improving the safety of the charging process. The device power information, charging speed information and charging power information are extracted according to the charging demand information. The device power information refers to the current remaining power or battery status of the device. The charging speed information refers to the expected charging speed or charging time of the device, which helps to determine the current, voltage and other parameters in the charging strategy. The charging power information refers to the maximum charging power or charging capacity supported by the device, which helps to ensure power matching and safety during the charging process. 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, a query is performed through a preset charging strategy database to obtain the charging strategy information and perform charging.

[0026] Please refer to Figure 3 , Figure 3The present invention is a flowchart of a method for processing wireless charging risk management in some embodiments of the present application for obtaining abnormal temperature rise rate data. According to an embodiment of the present invention, the temperature rise rate data is compared with a preset temperature rise rate threshold to obtain abnormal temperature rise rate data, specifically: S301, comparing the temperature rise rate data with a preset temperature rise rate threshold; S302: If the temperature rise rate data is greater than or equal to the temperature rise rate threshold, obtain the temperature rise too fast data and perform timing to obtain the temperature rise too fast duration data; S303, comparing the temperature rise too fast duration data with a preset duration threshold; S304: If the duration data of the temperature rise being too fast is greater than or equal to the duration threshold, the device working state is abnormal, and the temperature rise rate abnormal data is obtained.

[0027] Among them, in order to obtain the abnormal temperature rise rate data, the temperature rise rate data is compared with the preset temperature rise rate threshold. If the temperature rise rate data is greater than or equal to the temperature rise rate threshold, the excessive temperature rise data is obtained and timing is performed to obtain the excessive temperature rise duration data. This duration is the time period from the system detecting the abnormal temperature rise rate to the temperature rise rate returning to the normal range (or the charging process ends). The excessive temperature rise duration data is compared with the preset duration threshold. If the excessive temperature rise duration data is greater than or equal to the duration threshold, the abnormal temperature rise rate data is obtained, and the device working state is abnormal, which means that the device is at serious risk of overheating, and may even cause device damage or safety accidents.

[0028] Please refer to Figure 4 , Figure 4 The present invention is a flowchart of obtaining abnormal voltage stability data in a wireless charging risk management processing method in some embodiments of the present application. According to an embodiment of the present invention, the abnormal voltage stability data is obtained by comparing the charging voltage stability data with a preset voltage stability threshold, specifically: S401, comparing the charging voltage stability data with a preset voltage stability threshold to obtain a voltage stability deviation rate; S402, comparing the voltage stability deviation rate with a preset voltage stability deviation rate threshold; S403: If the voltage stability deviation rate is less than the voltage stability deviation rate threshold, the charging state of the device is normal; 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 voltage stability abnormality data is obtained.

[0029] Among them, in order to obtain voltage stability abnormality data, the voltage stability deviation rate is obtained by comparing the charging voltage stability data with the preset voltage stability threshold, and the difference between the actual voltage stability and the ideal voltage stability can be quantified. The voltage stability deviation rate is compared with the 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 to be 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 to be abnormal, and the voltage stability abnormality data needs to be recorded or reported, and further measures may need to be taken, such as stopping charging, checking the equipment or adjusting the charging conditions, and obtaining voltage stability abnormality data.

[0030] Please refer to Figure 5 , Figure 5 The present invention is a flowchart of a wireless charging risk management processing method for obtaining power regulation exceeding standard data in some embodiments of the present application. According to an embodiment of the present invention, the power regulation exceeding standard data is obtained by comparing the power regulation rate data with a preset power regulation rate threshold, specifically: S501, obtaining a power regulation rate deviation rate according to the power regulation rate data and a preset power regulation rate threshold; S502, comparing the power regulation rate deviation rate with a preset regulation rate deviation rate threshold; S503: If the power regulation rate deviation rate is less than the regulation rate deviation rate threshold, the charging state of the device is normal; S504: If the power regulation rate deviation rate is greater than or equal to the regulation rate deviation rate threshold, the device charging state is abnormal, and power regulation exceeding standard data is obtained.

[0031] Among them, in order to obtain power regulation excess data, the power regulation rate data is compared with the preset power regulation rate threshold to obtain the power regulation rate deviation rate, which is used to quantify the difference between the actual power regulation rate and the ideal power regulation rate. The power regulation rate deviation rate is compared with the 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 considered to be normal, 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, the charging state of the device is considered to be abnormal, the power regulation rate exceeds the acceptable range, and the power regulation excess data needs to be recorded or reported, and further measures may need to be taken, such as adjusting the charging strategy, checking the equipment or stopping charging, and obtaining the power regulation excess data.

[0032] According to an embodiment of the present invention, it also includes: Obtain multiple charging risk assessment indexes in a preset area and calculate the average charging risk assessment index; According to the charging risk assessment average index, the charging risk assessment index is corrected by a preset risk correction model to obtain a charging risk assessment correction index; Comparing the charging risk assessment correction index with a preset risk assessment index threshold; If the charging risk assessment correction index is greater than or equal to the risk assessment index threshold, the charging risk is beyond the controllable range; If the charging risk assessment correction index is less than the risk assessment index threshold, the charging risk is controllable.

[0033] Among them, in order to evaluate the risks existing in the charging process and realize controllable charging risks, multiple charging risk assessment indexes of the preset area are obtained and the average charging risk assessment index is calculated. The charging risk assessment index is corrected by a preset risk correction model to obtain a charging risk assessment correction index, which is then compared with the preset risk assessment index threshold. If the charging risk assessment correction index is greater than or equal to the risk assessment index threshold, it means that the charging risk is high and exceeds the acceptable range, and corresponding measures need to be taken for risk control. If the charging risk assessment correction index is less than the risk assessment index threshold, it means that the charging risk is within a controllable range and normal charging operations can continue; The calculation formula of the risk correction model is: ; in, Correction index for charging risk assessment, is the charging risk assessment index, is the average index of charging risk assessment, is the preset characteristic coefficient (the preset characteristic coefficient is obtained by querying the preset charging monitoring database).

[0034] According to an embodiment of the present invention, it also includes: Extracting electromagnetic radiation energy intensity data according to the charging monitoring information; Comparing the electromagnetic radiation energy intensity data with a preset first energy intensity threshold and a second energy intensity threshold, respectively, the first energy intensity threshold being 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; 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 neutralized and maintenance information is sent; If the electromagnetic radiation energy intensity data is greater than the second energy intensity threshold, the radiation energy is high and a radiation warning message is sent.

[0035] Among them, in order to reduce the electromagnetic radiation in the charging process and ensure personal safety, the electromagnetic radiation energy intensity data is extracted according to the charging monitoring information, and compared with the preset first energy intensity threshold and the 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 in 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 maintenance information is sent, indicating that although the electromagnetic radiation in the current wireless charging process is still within the safety range, it may be close to or reach the tolerance limit of certain sensitive equipment, and the maintenance information needs to be sent 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 in the current wireless charging process has exceeded the safety range, which may have adverse effects on human health or the surrounding environment, and it is necessary to immediately send a radiation warning information to the relevant personnel and take corresponding measures to reduce the electromagnetic radiation level.

[0036] The present invention also discloses a wireless charging risk management processing system, including a memory and a processor, wherein the memory includes a wireless charging risk management processing method program, and when the wireless charging risk management processing method program is executed by the processor, the following steps are implemented: Obtain device identification information in a preset area, extract basic device information and charging requirement information, obtain charging strategy information and execute charging; Obtain charging monitoring information, extract temperature rise rate data, charging voltage stability data and power regulation rate data; Comparing the temperature rise rate data with a preset temperature rise rate threshold, obtaining temperature rise rate abnormality data; Comparing the charging voltage stability data with a preset voltage stability threshold value to obtain voltage stability abnormality data; Comparing the power regulation rate data with a preset power regulation rate threshold, obtaining power regulation exceeding standard data; The abnormal temperature rise rate data, the abnormal voltage stability data and the power regulation exceeding standard data are processed by a preset charging risk assessment model to obtain a charging risk assessment index.

[0037] Among them, this application obtains the device identification information of the preset area, extracts the basic information of the device and the charging demand information, obtains the charging strategy information and executes charging. The charging strategy information includes parameters such as charging current, voltage, time, and protection measures and abnormal handling solutions during the charging process, and then obtains the charging monitoring information, extracts the temperature rise rate data, charging voltage stability data and power regulation 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 quickly, it may cause the device to overheat or even cause safety accidents such as fire. 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 insufficient charging or damage to the device. The power regulation rate is an important indicator for evaluating the performance of the charging control system and charging efficiency. If the power is improperly regulated, it may cause the device to charge too slowly or overheat. The temperature rise rate data is compared with the preset temperature rise rate threshold to obtain abnormal temperature rise rate data. The charging voltage stability data is compared with the preset voltage stability threshold to obtain abnormal voltage stability data. The power regulation rate data is compared with the preset power regulation rate threshold to obtain power regulation excess data. The abnormal temperature rise rate data, abnormal voltage stability data and power regulation excess data are processed through a preset charging risk assessment model to obtain a charging risk assessment index and determine whether the requirements are met. This application can timely discover potential charging safety risks by real-time monitoring of important operating parameters during the charging process, which helps prevent equipment damage or safety accidents caused by overheating, unstable voltage or improper power regulation. By quantifying the risk level in the charging process through indexes, it provides managers with an intuitive and quantifiable risk assessment tool, which helps them to 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 equipment 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 equipment. Analysis and decision-making based on real-time data and historical data make charging management more scientific, objective and accurate. The calculation formula of the charging risk assessment model is: ; in, is the charging risk assessment index, They are abnormal data of temperature rise rate, abnormal data of voltage stability and data of power regulation exceeding the standard. is the preset characteristic coefficient (the preset characteristic coefficient is obtained by querying the preset charging monitoring database).

[0038] According to an embodiment of the present invention, the acquisition of device identification information of a preset area, extraction of basic device information and charging requirement information, acquisition of charging strategy information and execution of charging are specifically as follows: Extracting device type information, coordinate information and identity authentication information according to the basic information of the device; Extracting device power information, charging speed information, and charging power information according to the charging demand information; 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, a preset charging strategy database is queried to obtain charging strategy information and execute charging.

[0039] Among them, in order to obtain charging strategy information, device type information, coordinate information and identity authentication information are extracted according to the basic information of the device. The device type information refers to the type or model of the device, such as a smart phone, a tablet computer, an electric car, etc. The coordinate information helps to determine whether the device is located in a preset charging area and whether the mobile device needs to be charged. The identity authentication information helps to ensure that only legal devices can access the charging system, thereby improving the safety of the charging process. The device power information, charging speed information and charging power information are extracted according to the charging demand information. The device power information refers to the current remaining power or battery status of the device. The charging speed information refers to the expected charging speed or charging time of the device, which helps to determine the current, voltage and other parameters in the charging strategy. The charging power information refers to the maximum charging power or charging capacity supported by the device, which helps to ensure power matching and safety during the charging process. 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, a query is performed through a preset charging strategy database to obtain the charging strategy information and perform charging.

[0040] According to an embodiment of the present invention, the temperature rise rate abnormality data is obtained by comparing the temperature rise rate data with a preset temperature rise rate threshold, specifically: Comparing 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, the temperature rise too fast data is obtained and timing is performed to obtain the temperature rise too fast duration data; Comparing the excessively rapid temperature rise duration data with a preset duration threshold; If the duration data of the temperature rise being too fast is greater than or equal to the duration threshold, the device working state is abnormal, and the temperature rise rate abnormal data is obtained.

[0041] Among them, in order to obtain the abnormal temperature rise rate data, the temperature rise rate data is compared with the preset temperature rise rate threshold. If the temperature rise rate data is greater than or equal to the temperature rise rate threshold, the excessive temperature rise data is obtained and timing is performed to obtain the excessive temperature rise duration data. This duration is the time period from the system detecting the abnormal temperature rise rate to the temperature rise rate returning to the normal range (or the charging process ends). The excessive temperature rise duration data is compared with the preset duration threshold. If the excessive temperature rise duration data is greater than or equal to the duration threshold, the abnormal temperature rise rate data is obtained, and the device working state is abnormal, which means that the device is at serious risk of overheating, and may even cause device damage or safety accidents.

[0042] According to an embodiment of the present invention, the voltage stability abnormality data is obtained by comparing the charging voltage stability data with a preset voltage stability threshold, specifically: Comparing the charging voltage stability data with a preset voltage stability threshold to obtain a voltage stability deviation rate; Comparing 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 status 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 abnormality data is obtained.

[0043] Among them, in order to obtain voltage stability abnormality data, the voltage stability deviation rate is obtained by comparing the charging voltage stability data with the preset voltage stability threshold, and the difference between the actual voltage stability and the ideal voltage stability can be quantified. The voltage stability deviation rate is compared with the 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 to be 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 to be abnormal, and the voltage stability abnormality data needs to be recorded or reported, and further measures may need to be taken, such as stopping charging, checking the equipment or adjusting the charging conditions, and obtaining voltage stability abnormality data.

[0044] According to an embodiment of the present invention, the power regulation rate data is compared with a preset power regulation rate threshold to obtain the power regulation exceeding standard data, specifically: Comparing the power regulation rate data with a preset power regulation rate threshold, obtaining a power regulation rate deviation rate; Comparing 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 device charging status is normal; If the power regulation rate deviation rate is greater than or equal to the regulation rate deviation rate threshold, the device charging state is abnormal, and power regulation exceeding standard data is obtained.

[0045] Among them, in order to obtain power regulation excess data, the power regulation rate data is compared with the preset power regulation rate threshold to obtain the power regulation rate deviation rate, which is used to quantify the difference between the actual power regulation rate and the ideal power regulation rate. The power regulation rate deviation rate is compared with the 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 considered to be normal, 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, the charging state of the device is considered to be abnormal, the power regulation rate exceeds the acceptable range, and the power regulation excess data needs to be recorded or reported, and further measures may need to be taken, such as adjusting the charging strategy, checking the equipment or stopping charging, and obtaining the power regulation excess data.

[0046] According to an embodiment of the present invention, it also includes: Obtain multiple charging risk assessment indexes in a preset area and calculate the average charging risk assessment index; According to the charging risk assessment average index, the charging risk assessment index is corrected by a preset risk correction model to obtain a charging risk assessment correction index; Comparing the charging risk assessment correction index with a preset risk assessment index threshold; If the charging risk assessment correction index is greater than or equal to the risk assessment index threshold, the charging risk is beyond the controllable range; If the charging risk assessment correction index is less than the risk assessment index threshold, the charging risk is controllable.

[0047] Among them, in order to evaluate the risks existing in the charging process and realize controllable charging risks, multiple charging risk assessment indexes of the preset area are obtained and the average charging risk assessment index is calculated. The charging risk assessment index is corrected by a preset risk correction model to obtain a charging risk assessment correction index, which is then compared with the preset risk assessment index threshold. If the charging risk assessment correction index is greater than or equal to the risk assessment index threshold, it means that the charging risk is high and exceeds the acceptable range, and corresponding measures need to be taken for risk control. If the charging risk assessment correction index is less than the risk assessment index threshold, it means that the charging risk is within a controllable range and normal charging operations can continue; The calculation formula of the risk correction model is: ; in, Correction index for charging risk assessment, is the charging risk assessment index, is the average index of charging risk assessment, is the preset characteristic coefficient (the preset characteristic coefficient is obtained by querying the preset charging monitoring database).

[0048] According to an embodiment of the present invention, it also includes: Extracting electromagnetic radiation energy intensity data according to the charging monitoring information; Comparing the electromagnetic radiation energy intensity data with a preset first energy intensity threshold and a second energy intensity threshold, respectively, the first energy intensity threshold being 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; 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 neutralized and maintenance information is sent; If the electromagnetic radiation energy intensity data is greater than the second energy intensity threshold, the radiation energy is high and a radiation warning message is sent.

[0049] Among them, in order to reduce the electromagnetic radiation in the charging process and ensure personal safety, the electromagnetic radiation energy intensity data is extracted according to the charging monitoring information, and compared with the preset first energy intensity threshold and the 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 in 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 maintenance information is sent, indicating that although the electromagnetic radiation in the current wireless charging process is still within the safety range, it may be close to or reach the tolerance limit of certain sensitive equipment, and the maintenance information needs to be sent 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 in the current wireless charging process has exceeded the safety range, which may have adverse effects on human health or the surrounding environment, and it is necessary to immediately send a radiation warning information to the relevant personnel and take corresponding measures to reduce the electromagnetic radiation level.

[0050] A third aspect of the present invention provides a computer-readable storage medium, which includes a program for a method for processing wireless charging risk management. When the program for processing wireless charging risk management is executed by a processor, the steps of the method for processing wireless charging risk management as described in any one of the above items are implemented.

[0051] The present invention discloses a processing method, system and medium for wireless charging risk management, which obtains device identification information of a preset area, extracts basic device information and charging demand information, obtains charging strategy information and executes charging, and then obtains charging monitoring information, extracts temperature rise rate data, charging voltage stability data and power regulation rate data, compares the temperature rise rate data with a preset temperature rise rate threshold, obtains temperature rise rate abnormal data, compares the charging voltage stability data with a preset voltage stability threshold, obtains voltage stability abnormal data, compares the power regulation rate data with a preset power regulation rate threshold, obtains power regulation exceeding standard data, processes the temperature rise rate abnormal data, voltage stability abnormal data and power regulation exceeding standard data through a preset charging risk assessment model, obtains a charging risk assessment index and determines whether the requirements are met. This application can promptly detect potential charging safety risks by real-time monitoring of important operating parameters during the charging process, which helps prevent equipment damage or safety accidents caused by overheating, unstable voltage or improper power regulation. It quantifies the risk level in the charging process by index, and provides managers with an intuitive and quantifiable risk assessment tool to help them more accurately understand the safety status of the charging process. By optimizing charging strategies and performing precise charging control, it can ensure that the equipment 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 equipment. Analysis and decision-making based on real-time and historical data make charging management more scientific, objective and accurate.

[0052] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: 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 components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0053] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0054] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0055] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above-mentioned method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a readable storage medium, which, when executed, executes the steps of the above-mentioned method embodiment; and the aforementioned storage medium includes: mobile storage devices, read-only memories, random access memories, magnetic disks or optical disks, and other media that can store program codes.

[0056] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function 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 embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A method for wireless charging risk management, characterized in that: The following steps are involved: Obtain device identification information in a preset area, extract basic device information and charging requirement information, obtain charging strategy information and execute charging; Obtain charging monitoring information, extract temperature rise rate data, charging voltage stability data and power regulation rate data; Comparing the temperature rise rate data with a preset temperature rise rate threshold, obtaining temperature rise rate abnormality data; Comparing the charging voltage stability data with a preset voltage stability threshold value to obtain voltage stability abnormality data; Comparing the power regulation rate data with a preset power regulation rate threshold, obtaining power regulation exceeding standard data; The abnormal temperature rise rate data, the abnormal voltage stability data and the power regulation exceeding standard data are processed by a preset charging risk assessment model to obtain a charging risk assessment index.

2. A wireless charging risk management processing method according to claim 1, characterized in that: The obtaining of device identification information of a preset area, extracting basic device information and charging requirement information, obtaining charging strategy information and executing charging are specifically as follows: Extracting device type information, coordinate information and identity authentication information according to the basic information of the device; Extracting device power information, charging speed information, and charging power information according to the charging demand information; 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, a preset charging strategy database is queried to obtain charging strategy information and execute charging.

3. A wireless charging risk management processing method according to claim 2, characterized in that: The temperature rise rate abnormality data is obtained by comparing the temperature rise rate data with a preset temperature rise rate threshold, specifically: Comparing 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, the temperature rise too fast data is obtained and timing is performed to obtain the temperature rise too fast duration data; Comparing the excessively rapid temperature rise duration data with a preset duration threshold; If the duration data of the temperature rise being too fast is greater than or equal to the duration threshold, the device working state is abnormal, and the temperature rise rate abnormal data is obtained.

4. A wireless charging risk management processing method according to claim 3, characterized in that: The voltage stability abnormality data is obtained by comparing the charging voltage stability data with a preset voltage stability threshold, specifically: Comparing the charging voltage stability data with a preset voltage stability threshold to obtain a voltage stability deviation rate; Comparing 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 status 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 abnormality data is obtained.

5. A wireless charging risk management processing method according to claim 4, characterized in that: The power regulation rate data is compared with a preset power regulation rate threshold to obtain power regulation exceeding standard data, specifically: Comparing the power regulation rate data with a preset power regulation rate threshold, obtaining a power regulation rate deviation rate; Comparing 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 device charging status is normal; If the power regulation rate deviation rate is greater than or equal to the regulation rate deviation rate threshold, the device charging state is abnormal, and power regulation exceeding standard data is obtained.

6. A wireless charging risk management processing system, characterized in that: The invention comprises a memory and a processor, wherein the memory comprises a wireless charging risk management processing method program, and when the wireless charging risk management processing method program is executed by the processor, the following steps are implemented: Obtain device identification information in a preset area, extract basic device information and charging requirement information, obtain charging strategy information and execute charging; Obtain charging monitoring information, extract temperature rise rate data, charging voltage stability data and power regulation rate data; Comparing the temperature rise rate data with a preset temperature rise rate threshold, obtaining temperature rise rate abnormality data; Comparing the charging voltage stability data with a preset voltage stability threshold value to obtain voltage stability abnormality data; Comparing the power regulation rate data with a preset power regulation rate threshold, obtaining power regulation exceeding standard data; The abnormal temperature rise rate data, the abnormal voltage stability data and the power regulation exceeding standard data are processed by a preset charging risk assessment model to obtain a charging risk assessment index.

7. A wireless charging risk management processing system according to claim 6, characterized in that: The obtaining of device identification information of a preset area, extracting basic device information and charging requirement information, obtaining charging strategy information and executing charging are specifically as follows: Extracting device type information, coordinate information and identity authentication information according to the basic information of the device; Extracting device power information, charging speed information, and charging power information according to the charging demand information; 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, a preset charging strategy database is queried to obtain charging strategy information and execute charging.

8. A wireless charging risk management processing system according to claim 7, characterized in that: The temperature rise rate abnormality data is obtained by comparing the temperature rise rate data with a preset temperature rise rate threshold, specifically: Comparing 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, the temperature rise too fast data is obtained and timing is performed to obtain the temperature rise too fast duration data; Comparing the excessively rapid temperature rise duration data with a preset duration threshold; If the duration data of the temperature rise being too fast is greater than or equal to the duration threshold, the device working state is abnormal, and the temperature rise rate abnormal data is obtained.

9. A wireless charging risk management processing system according to claim 8, characterized in that: The voltage stability abnormality data is obtained by comparing the charging voltage stability data with a preset voltage stability threshold, specifically: Comparing the charging voltage stability data with a preset voltage stability threshold to obtain a voltage stability deviation rate; Comparing 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 status 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 abnormality data is obtained.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a wireless charging risk management processing method program. When the wireless charging risk management processing method program is executed by a processor, the steps of the wireless charging risk management processing method as described in any one of claims 1 to 5 are implemented.

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