Vehicle-mounted power supply remote data early warning analysis method, system and medium

Abstract

The invention provides a vehicle-mounted power supply remote data early warning analysis method and system and a medium. The method comprises the following steps of: acquiring standard electrical parameter data, equipment safety state data and real-time electrical parameter data of a vehicle-mounted power supply, processing the real-time electrical parameter data, calculating by combining the equipment safety state data to obtain vehicle-mounted power supply state data, and judging the vehicle-mounted power supply state data, processing according to real-time electrical parameter data and standard electrical parameter data to obtain an electrical parameter early warning index, obtaining power supply early warning grade data and a corresponding processing mode after threshold comparison, and calculating according to received early warning time data and confirmed feedback early warning time data to obtain feedback duration data; after threshold comparison, feedback state data is obtained, and then a corresponding processing scheme is obtained; therefore, the remote data early warning analysis technology of the vehicle-mounted power supply is realized based on the calculation of the state data and the electrical parameter early warning index of the vehicle-mounted power supply and the threshold comparison method.

Description

Technical Field

[0001] The present application relates to the field of vehicle-mounted power supplies, and in particular, to a vehicle-mounted power supply remote data early warning analysis method, system and medium. Background Art

[0002] With the continuous growth of the automotive industry, the stability and safety of vehicle power supply are becoming more and more important. Problems with the power supply may cause a series of failures and even endanger property and life safety. However, traditional vehicle power supply monitoring is often limited to displays or simple alarms inside the vehicle, and remote real-time monitoring and in-depth analysis cannot be achieved. In order to ensure the stable operation of the vehicle power supply and discover potential problems in advance, remote monitoring and data early warning analysis are particularly important. However, the existing vehicle power supply remote monitoring system has certain limitations in data early warning analysis, and cannot meet the needs of accurate early warning and early intervention of the power supply status. Therefore, how to better realize the remote data early warning analysis of vehicle power supply has become a problem that needs to be solved at present.

[0003] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0004] The purpose of this application is to provide a method, system and medium for remote data warning analysis of vehicle power supply, which can realize the technology of remote data warning analysis of vehicle power supply by calculating the warning index based on vehicle power supply status data, electrical parameters, and threshold comparison method.

[0005] The present application also provides a vehicle-mounted power supply remote data early warning analysis method, comprising the following steps: Obtain standard electrical parameter information, equipment safety status information and a preset amount of real-time electrical parameter information of the vehicle power supply, and extract standard electrical parameter data, equipment safety status data and real-time electrical parameter data respectively; The electrical parameter safety status data is obtained by comparing the real-time electrical parameter data with the preset electrical parameter safety threshold, and the electrical parameter safety status data is combined with the equipment safety status data to calculate the vehicle power supply status data; Determine the vehicle power supply status data, and calculate an electrical parameter warning index through a preset electrical parameter warning index model according to the real-time electrical parameter data and the standard electrical parameter data; Comparing the electrical parameter warning index with a preset electrical parameter warning index threshold to obtain vehicle power warning level data; Obtaining a corresponding processing method according to the vehicle power warning level data, and sending it to the mobile terminal; Acquire the receiving warning time data and the confirming feedback warning time data of the mobile device, obtain feedback duration data according to the receiving warning time data and the confirming feedback warning time data, and compare the feedback duration data with a preset feedback duration threshold to obtain feedback status data; A corresponding processing solution is obtained according to the feedback status data.

[0006] Optionally, in the vehicle power remote data early warning analysis method described in the present application, the obtaining of standard electrical parameter information of the vehicle power, equipment safety status information and a preset amount of real-time electrical parameter information, and extracting standard electrical parameter data, equipment safety status data and real-time electrical parameter data respectively, specifically includes: Obtain standard electrical parameter information of the vehicle power supply and extract standard electrical parameter data, including standard voltage data, standard current data and standard temperature data; Obtain equipment safety status information of the vehicle power supply and extract equipment safety status data, including grounding status data, leakage status data and lightning protection status data; Obtain a preset amount of real-time electrical parameter information of the vehicle power supply, and extract real-time electrical parameter data, including real-time voltage data, real-time current data, and real-time temperature data.

[0007] Optionally, in the vehicle power remote data early warning analysis method described in the present application, the electrical parameter safety status data is obtained by comparing the real-time electrical parameter data with a preset electrical parameter safety threshold, and the electrical parameter safety status data is combined with the device safety status data to calculate the vehicle power status data, specifically including: According to the preset number of real-time voltage data, real-time current data and real-time temperature data, average values ​​are calculated to obtain effective voltage data, effective current data and effective temperature data; Comparing the effective voltage data, effective current data and effective temperature data with the preset voltage safety threshold, current safety threshold and temperature safety threshold respectively, to obtain electrical parameter safety status data, including voltage safety status data, current safety status data and temperature safety status data; Performing AND operation on the voltage safety status data, current safety status data, temperature safety status data, grounding status data, leakage status data and lightning protection status data to obtain vehicle power status data, including safety status data or dangerous status data; The calculation formula of the vehicle power supply status data is: ; in, is the voltage safety status data, is the current safety status data, is the temperature safety status data, is the grounding state data, Leakage status data and It is the lightning protection status data.

[0008] Optionally, in the vehicle power remote data warning analysis method described in the present application, the determining of the vehicle power state data and obtaining the electrical parameter warning index by calculating the real-time electrical parameter data and the standard electrical parameter data through a preset electrical parameter warning index model specifically includes: Determining the vehicle power supply status data; If the data is in a dangerous state, the power will be automatically cut off and a safety reminder will be sent to the preset contact; If it is safe state data, the effective voltage data, effective current data, effective temperature data, standard voltage data, standard current data and standard temperature data are input into a preset electrical parameter early warning index model to calculate and obtain an electrical parameter early warning index; The calculation formula of the electrical parameter warning index in the electrical parameter warning index model is: ; in, is the electrical parameter warning index, is the effective voltage data, is the effective current data, is the effective temperature data, is the standard voltage data, is the standard current data, is the standard temperature data, , , , , is the preset characteristic coefficient.

[0009] Optionally, in the vehicle power remote data warning analysis method described in the present application, the comparing the electrical parameter warning index with a preset electrical parameter warning index threshold to obtain the vehicle power warning level data specifically includes: Comparing the electrical parameter warning index with a preset electrical parameter warning index threshold to obtain vehicle power warning level data; Extracting a first threshold and a second threshold according to the electrical parameter warning index threshold, wherein the first threshold is greater than the second threshold; comparing the electrical parameter warning index with the first threshold and the second threshold; If the electrical parameter warning index is greater than the first threshold, the vehicle power warning level data is critical level data; If the electrical parameter warning index is greater than the second threshold and less than or equal to the first threshold, the vehicle power warning level data is buffer level data; If the electrical parameter warning index is less than or equal to the second threshold, the vehicle power warning level data is normal level data.

[0010] Optionally, in the vehicle power remote data warning analysis method described in the present application, obtaining a corresponding processing method according to the vehicle power warning level data and sending it to the mobile terminal specifically includes: Determining the vehicle power warning level data; If the vehicle power warning level data is normal level data, maintain the current state; If the vehicle power warning level data is critical level data, the vehicle power is automatically cut off and a warning voice is sent to a preset mobile terminal and contact; If the vehicle power warning level data is buffer level data, the collection time data of the real-time electrical parameter data is obtained, and the distance critical warning time data is obtained by processing it according to the first threshold and the electrical parameter warning index through a preset distance critical warning time prediction model, and the distance critical warning time data is sent to a preset mobile terminal.

[0011] Optionally, in the vehicle power remote data warning analysis method described in the present application, the obtaining of the reception warning time data and the confirmation feedback warning time data of the mobile device, obtaining feedback duration data according to the reception warning time data and the confirmation feedback warning time data, and comparing the feedback duration data with a preset feedback duration threshold to obtain feedback status data specifically includes: Acquire the receiving warning time data and the confirmation feedback warning time data of the mobile device, and subtract the confirmation feedback warning time data from the receiving warning time data to obtain feedback duration data; Comparing the feedback duration data with a preset feedback duration threshold to obtain feedback status data; Extracting a third threshold and a fourth threshold according to the feedback duration threshold, wherein the third threshold is greater than the fourth threshold; Comparing the feedback duration data with the third threshold and the fourth threshold; If the feedback duration data is greater than the third threshold, the feedback status data is no response status data; If the electrical parameter warning index is greater than the fourth threshold and less than or equal to the third threshold, the feedback state data is delayed response state data; If the electrical parameter warning index is less than or equal to the fourth threshold, the feedback status data is timely response status data.

[0012] Optionally, in the vehicle power remote data early warning analysis method described in the present application, obtaining a corresponding processing solution according to the feedback status data specifically includes: Determining the feedback status data; If the feedback status data is timely response status data, performing an operation according to the user feedback instruction; If the feedback status data is delayed response status data, sending information to the mobile terminal and notifying the preset emergency contact; If the feedback status data is no response status data, a voice reminder is sent to the preset contact.

[0013] In a second aspect, the present application provides a vehicle power remote data warning analysis system, the system comprising: a memory and a processor, the memory comprising a program of a vehicle power remote data warning analysis method, and the program of the vehicle power remote data warning analysis method is executed by the processor to implement the following steps: Obtain standard electrical parameter information, equipment safety status information and a preset amount of real-time electrical parameter information of the vehicle power supply, and extract standard electrical parameter data, equipment safety status data and real-time electrical parameter data respectively; The electrical parameter safety status data is obtained by comparing the real-time electrical parameter data with the preset electrical parameter safety threshold, and the electrical parameter safety status data is combined with the equipment safety status data to calculate the vehicle power supply status data; Determine the vehicle power supply status data, and calculate an electrical parameter warning index through a preset electrical parameter warning index model according to the real-time electrical parameter data and the standard electrical parameter data; Comparing the electrical parameter warning index with a preset electrical parameter warning index threshold to obtain vehicle power warning level data; Obtaining a corresponding processing method according to the vehicle power warning level data, and sending it to the mobile terminal; Acquire the receiving warning time data and the confirming feedback warning time data of the mobile device, obtain feedback duration data according to the receiving warning time data and the confirming feedback warning time data, and compare the feedback duration data with a preset feedback duration threshold to obtain feedback status data; A corresponding processing solution is obtained according to the feedback status data.

[0014] In a third aspect, the present application also provides a readable storage medium, which includes a vehicle power remote data warning analysis method program. When the vehicle power remote data warning analysis method program is executed by a processor, the steps of the vehicle power remote data warning analysis method as described in any one of the above items are implemented.

[0015] As can be seen from the above, the vehicle power remote data warning analysis method, system and medium provided by the present application. The method obtains the standard electrical parameter data, equipment safety status data and real-time electrical parameter data of the vehicle power supply, processes the real-time electrical parameter data and combines it with the equipment safety status data to calculate the vehicle power supply status data, judges the vehicle power supply status data, and obtains the electrical parameter warning index based on the real-time electrical parameter data and the standard electrical parameter data, obtains the power warning level data and the corresponding processing method through threshold comparison, and then calculates the feedback duration data based on the received warning time data and the confirmed feedback warning time data, obtains the feedback status data after the threshold comparison, and then obtains the corresponding processing solution; thus, the technology of vehicle power remote data warning analysis is realized through the calculation based on the vehicle power supply status data, the electrical parameter warning index, and the threshold comparison method.

[0016] 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 present application. The purpose and other advantages of the present application can be realized and obtained by the structures particularly pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] 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.

[0018] Figure 1 A flowchart of a vehicle power remote data early warning analysis method provided in an embodiment of the present application; Figure 2 A flowchart of obtaining standard electrical parameter data, equipment safety status data and real-time electrical parameter data of the vehicle power remote data warning analysis method provided in an embodiment of the present application; Figure 3 A flowchart of obtaining vehicle power status data of the vehicle power remote data warning analysis method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0019] 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.

[0020] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so 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 this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0021] Please refer to Figure 1 , Figure 1 1 is a flow chart of a vehicle power remote data early warning analysis method in some embodiments of the present application. The vehicle power remote data early warning analysis method is used in a terminal device, such as a computer. The vehicle power remote data early warning analysis method includes the following steps: S11, obtaining standard electrical parameter information of the vehicle power supply, equipment safety status information and a preset amount of real-time electrical parameter information, and extracting standard electrical parameter data, equipment safety status data and real-time electrical parameter data respectively; S12, obtaining electrical parameter safety status data according to the comparison between the real-time electrical parameter data and the preset electrical parameter safety threshold, and calculating the electrical parameter safety status data in combination with the equipment safety status data to obtain vehicle power supply status data; S13, determining the vehicle power supply status data, and obtaining an electrical parameter warning index by calculating a preset electrical parameter warning index model according to the real-time electrical parameter data and the standard electrical parameter data; S14, comparing the electrical parameter warning index with a preset electrical parameter warning index threshold to obtain vehicle power warning level data; S15, obtaining a corresponding processing method according to the vehicle power warning level data, and sending it to the mobile terminal; S16, obtaining the receiving warning time data and the confirming feedback warning time data of the mobile device, obtaining feedback duration data according to the receiving warning time data and the confirming feedback warning time data, and comparing the feedback duration data with a preset feedback duration threshold to obtain feedback status data; S17: Obtain a corresponding processing solution according to the feedback status data.

[0022] It should be noted that the vehicle power supply remote data warning analysis technology can realize the technology of early warning of vehicle power supply safety. First, standard electrical parameter data, equipment safety status data and real-time electrical parameter data are obtained, and the real-time electrical parameter data is processed and then compared with the threshold to obtain electrical parameter safety status data, and then combined with the equipment safety status data processing to obtain vehicle power supply status data, including safety status data and dangerous status data. If the vehicle power supply status data is safety status data, the electrical parameter warning index is calculated according to the real-time electrical parameter data and the standard electrical parameter data, and then the vehicle power supply warning level data is obtained by threshold comparison. According to the vehicle power supply warning level data, the corresponding processing method is obtained and sent to the mobile terminal. After sending to the mobile terminal, in order to ensure that user feedback can be obtained, the mobile device's reception warning time data and confirmation feedback warning time data are obtained, the feedback duration data is calculated, and the feedback status data is obtained after threshold comparison. The corresponding processing plan is obtained based on the feedback status data, realizing the technology of remote data analysis of vehicle power supply.

[0023] Please refer to Figure 2 , Figure 2 The flowchart of the vehicle power remote data warning analysis method provided in the embodiment of the present application is to obtain standard electrical parameter data, equipment safety status data and real-time electrical parameter data. According to the embodiment of the present invention, the acquisition of standard electrical parameter information of the vehicle power supply, equipment safety status information and a preset number of real-time electrical parameter information, and the extraction of standard electrical parameter data, equipment safety status data and real-time electrical parameter data respectively, specifically includes: S21, obtaining standard electrical parameter information of the vehicle power supply, and extracting standard electrical parameter data, including standard voltage data, standard current data, and standard temperature data; S22, obtaining equipment safety status information of the vehicle-mounted power supply, and extracting equipment safety status data, including grounding status data, leakage status data, and lightning protection status data; S23, obtaining a preset amount of real-time electrical parameter information of the vehicle power supply, and extracting real-time electrical parameter data, including real-time voltage data, real-time current data, and real-time temperature data.

[0024] It should be noted that the standard electrical parameter data of the vehicle power supply refers to the values ​​of various electrical parameters of the vehicle power supply under the standard working state, among which the standard temperature data refers to the standard temperature of each electrical parameter of the vehicle power supply under the standard working state, the equipment safety status data refers to the data that seriously affects the vehicle power supply or human safety, the grounding status data refers to whether the vehicle power supply is grounded. In this example, if grounded, it means safety, and if not grounded, it means danger, and it is recorded as 0; the leakage status data refers to whether there is leakage, if no leakage, it means safety, and it is recorded as 1, if leakage, it means unsafe, and it is recorded as 0; the lightning protection status data refers to whether the vehicle power supply is connected to the lightning protection, connected, it means safety, and not connected, it means unsafe, and it is recorded as 0; the real-time electrical parameter data refers to the real-time data of the vehicle power supply at work.

[0025] Please refer to Figure 3 , Figure 3 The flowchart of the vehicle power supply remote data warning analysis method for obtaining vehicle power supply status data provided by the embodiment of the present application is as follows. According to the embodiment of the present invention, the electrical parameter safety status data is obtained by comparing the real-time electrical parameter data with the preset electrical parameter safety threshold, and the electrical parameter safety status data is combined with the device safety status data to calculate the vehicle power supply status data, specifically including: S31, calculating average values ​​of preset quantities of real-time voltage data, real-time current data, and real-time temperature data to obtain effective voltage data, effective current data, and effective temperature data; S32, comparing the effective voltage data, effective current data and effective temperature data with the preset voltage safety threshold, current safety threshold and temperature safety threshold respectively, to obtain electrical parameter safety status data, including voltage safety status data, current safety status data and temperature safety status data; S33, performing AND operation on the voltage safety status data, current safety status data, temperature safety status data, grounding status data, leakage status data and lightning protection status data to obtain vehicle power status data, including safety status data or dangerous status data; The calculation formula of the vehicle power supply status data is: ; in, is the voltage safety status data, is the current safety status data, is the temperature safety status data, is the grounding state data, Leakage status data and It is the lightning protection status data.

[0026] It should be noted that the mean value can effectively reflect the stable state of a parameter and is a relatively effective data. The electrical parameter safety threshold includes a voltage safety threshold, a current safety threshold, and a temperature safety threshold. The electrical parameter safety threshold refers to a limit value reflecting the safety of the vehicle power supply. If it is greater than this limit value, it is dangerous, and if it is lower than this limit value, it is safe; therefore, first obtain the effective voltage data, the effective current data, and the effective temperature data, and then compare them with the preset voltage safety threshold, the current safety threshold, and the temperature safety threshold to obtain the electrical parameter safety status data, including voltage safety status data, current safety status data, and temperature safety status data; the electrical parameter safety status data includes safe data and dangerous data. In this embodiment, the voltage safety status data is recorded as 1 when it is safe, and is recorded as 0 if it is dangerous. In the current safety status data, safety is recorded as 1 and danger is recorded as 0. In the temperature safety status data, safety is recorded as 1 and danger is recorded as 0; through the AND operation in the computer, the vehicle power supply status data is obtained, including safe status data or dangerous status data, safe is recorded as 1, and dangerous is recorded as 0.

[0027] According to an embodiment of the present invention, the determining of the vehicle power supply status data and obtaining the electrical parameter warning index by calculating the real-time electrical parameter data and the standard electrical parameter data through a preset electrical parameter warning index model specifically includes: Determining the vehicle power supply status data; If the data is in a dangerous state, the power will be automatically cut off and a safety reminder will be sent to the preset contact; If it is safe state data, the effective voltage data, effective current data, effective temperature data, standard voltage data, standard current data and standard temperature data are input into a preset electrical parameter early warning index model to calculate and obtain an electrical parameter early warning index; The calculation formula of the electrical parameter warning index in the electrical parameter warning index model is: ; in, is the electrical parameter warning index, is the effective voltage data, is the effective current data, is the effective temperature data, is the standard voltage data, is the standard current data, is the standard temperature data, , , , , is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset vehicle power remote data early warning analysis platform).

[0028] It should be noted that the on-board power supply can only work normally when the on-board power supply status data is safe status data. Therefore, the on-board power supply status data must be judged first. When it is dangerous status data, the power supply is automatically cut off and a safety reminder is sent to the preset contact; when it is safe status data, the electrical parameter warning index is calculated based on the effective voltage data, effective current data, effective temperature data, standard voltage data, standard current data and standard temperature data through a preset electrical parameter warning index model. The preset electrical parameter warning index model is obtained through training and analysis of a large amount of historical data, and the electrical parameter warning index can be calculated. The electrical parameter warning index refers to a data that can reflect the working status of the on-board power supply to a certain extent and quantify the warning degree.

[0029] According to an embodiment of the present invention, the step of comparing the electrical parameter warning index with a preset electrical parameter warning index threshold to obtain vehicle power warning level data specifically includes: Comparing the electrical parameter warning index with a preset electrical parameter warning index threshold to obtain vehicle power warning level data; Extracting a first threshold and a second threshold according to the electrical parameter warning index threshold, wherein the first threshold is greater than the second threshold; comparing the electrical parameter warning index with the first threshold and the second threshold; If the electrical parameter warning index is greater than the first threshold, the vehicle power warning level data is critical level data; If the electrical parameter warning index is greater than the second threshold and less than or equal to the first threshold, the vehicle power warning level data is buffer level data; If the electrical parameter warning index is less than or equal to the second threshold, the vehicle power warning level data is normal level data.

[0030] It should be noted that in order to provide more intuitive feedback on the working condition of the vehicle power supply, the vehicle power supply warning level data is obtained after comparing the threshold of the electrical parameter warning index, wherein the critical level data means that the situation is very urgent, the risk is very high, and it needs to be dealt with urgently; the buffer level data means that the operation of the vehicle power supply in this state has shown a certain degree of abnormality. Although there are risks, it can still be used and it is necessary to send a warning analysis; the normal level data means that the working state of the vehicle power supply is normal, no warning needs to be sent, and normal operation can be maintained; in this embodiment, the first threshold is 0.85, the second threshold is 0.7, and the electrical parameter warning index threshold is set to: [0, 0.7), normal level data; [0.7, 0.85), buffer level data; [0.85, 1], critical level data; when the electrical parameter warning index is calculated to be 0.8, the vehicle power supply warning level data is buffer level data.

[0031] According to an embodiment of the present invention, obtaining a corresponding processing method according to the vehicle power warning level data and sending it to the mobile terminal specifically includes: Determining the vehicle power warning level data; If the vehicle power warning level data is normal level data, maintain the current state; If the vehicle power warning level data is critical level data, the vehicle power is automatically cut off and a warning voice is sent to a preset mobile terminal and contact; If the vehicle power warning level data is buffer level data, the collection time data of the real-time electrical parameter data is obtained, and the distance critical warning time data is obtained by processing it according to the first threshold and the electrical parameter warning index through a preset distance critical warning time prediction model, and the distance critical warning time data is sent to a preset mobile terminal.

[0032] It should be noted that only after judging the vehicle power warning level can the corresponding measures be obtained. If it is critical level data, it means that the warning is serious and immediate notification is required for remote warning. The pre-set mobile terminal and contact can be notified by sending a voice message or making a voice call. At the same time, for safety reasons, the power supply will be automatically cut off. When the vehicle power warning level data is buffer level data, first obtain the collection time data of the preset number of real-time electrical parameter data, that is, the time data used from the start of collecting the first data to the end of collecting the last data. There is a certain range from reaching the buffer level to becoming critical level data. When the vehicle power appears When an early warning is issued, it means that there are certain abnormalities in the work. When an early warning is issued, it will calculate how long it will take to become critical level data according to the current change speed. The distance critical warning time data refers to the time from determining the buffer level data to the existing change situation. It is calculated how long it will take to become critical level data. This is helpful for users to know how much processing time data is available. According to the first threshold and the electrical parameter early warning index, the preset distance critical warning time prediction model is used to process and obtain the distance critical warning time data. The preset distance critical warning time prediction model is obtained through historical data analysis. The calculation formula of the distance warning time data in the preset distance warning time prediction model is: ; in, It is the distance warning duration data. is the second threshold, is the i-th electrical parameter warning index, is the i+1th electrical parameter warning index, is the electrical parameter warning index closest to the present time, n is the number of electrical parameter warning indexes obtained, To collect duration data, is the preset i-th weight coefficient, is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset vehicle power remote data early warning analysis platform).

[0033] According to an embodiment of the present invention, the obtaining of the receiving warning time data and the confirming feedback warning time data of the mobile device, obtaining feedback duration data according to the receiving warning time data and the confirming feedback warning time data, and comparing the feedback duration data with a preset feedback duration threshold to obtain feedback status data specifically includes: Acquire the receiving warning time data and the confirmation feedback warning time data of the mobile device, and subtract the confirmation feedback warning time data from the receiving warning time data to obtain feedback duration data; Comparing the feedback duration data with a preset feedback duration threshold to obtain feedback status data; Extracting a third threshold and a fourth threshold according to the feedback duration threshold, wherein the third threshold is greater than the fourth threshold; Comparing the feedback duration data with the third threshold and the fourth threshold; If the feedback duration data is greater than the third threshold, the feedback status data is no response status data; If the electrical parameter warning index is greater than the fourth threshold and less than or equal to the third threshold, the feedback state data is delayed response state data; If the electrical parameter warning index is less than or equal to the fourth threshold, the feedback status data is timely response status data.

[0034] It should be noted that after sending the warning, for safety reasons, it is necessary to obtain feedback from the warning recipient, that is, the user. If there is no feedback from the user for a long time, it is necessary to remind again; the warning reception time data refers to the time when the user receives the warning, and the confirmation feedback warning time data refers to the time when the user gives confirmation and feedback after receiving the warning. After comparing the feedback duration data with the threshold, the feedback status data can be obtained, including no response status data, delayed response status data, and timely response status data; the third threshold and the fourth threshold can be set according to user needs.

[0035] According to an embodiment of the present invention, obtaining a corresponding processing solution according to the feedback status data specifically includes: Determining the feedback status data; If the feedback status data is timely response status data, performing an operation according to the user feedback instruction; If the feedback status data is delayed response status data, sending information to the mobile terminal and notifying the preset emergency contact; If the feedback status data is no response status data, a voice reminder is sent to the preset contact.

[0036] Among them, feedback status data is data indicating the timeliness and status of feedback. After the warning is issued, users may not be able to view, confirm and provide feedback in a timely manner. In order for users to view the issued warning information, it is necessary to obtain user feedback status data and take corresponding measures for processing; voice reminders can be sending voice to communication software or making a phone call, which can be set according to user needs.

[0037] The present invention also discloses a vehicle-mounted power supply remote data early warning analysis system, comprising a memory and a processor, wherein the memory comprises a vehicle-mounted power supply remote data early warning analysis method program, and when the vehicle-mounted power supply remote data early warning analysis method program is executed by the processor, the following steps are implemented: Obtain standard electrical parameter information, equipment safety status information and a preset amount of real-time electrical parameter information of the vehicle power supply, and extract standard electrical parameter data, equipment safety status data and real-time electrical parameter data respectively; The electrical parameter safety status data is obtained by comparing the real-time electrical parameter data with the preset electrical parameter safety threshold, and the electrical parameter safety status data is combined with the equipment safety status data to calculate the vehicle power supply status data; Determine the vehicle power supply status data, and calculate an electrical parameter warning index through a preset electrical parameter warning index model according to the real-time electrical parameter data and the standard electrical parameter data; Comparing the electrical parameter warning index with a preset electrical parameter warning index threshold to obtain vehicle power warning level data; Obtaining a corresponding processing method according to the vehicle power warning level data, and sending it to the mobile terminal; Acquire the receiving warning time data and the confirming feedback warning time data of the mobile device, obtain feedback duration data according to the receiving warning time data and the confirming feedback warning time data, and compare the feedback duration data with a preset feedback duration threshold to obtain feedback status data; A corresponding processing solution is obtained according to the feedback status data.

[0038] It should be noted that the vehicle power supply remote data warning analysis technology can realize the technology of early warning of vehicle power supply safety. First, standard electrical parameter data, equipment safety status data and real-time electrical parameter data are obtained, and the real-time electrical parameter data is processed and then compared with the threshold to obtain electrical parameter safety status data, and then combined with the equipment safety status data processing to obtain vehicle power supply status data, including safety status data and dangerous status data. If the vehicle power supply status data is safety status data, the electrical parameter warning index is calculated according to the real-time electrical parameter data and the standard electrical parameter data, and then the vehicle power supply warning level data is obtained by threshold comparison. According to the vehicle power supply warning level data, the corresponding processing method is obtained and sent to the mobile terminal. After sending to the mobile terminal, in order to ensure that user feedback can be obtained, the mobile device's reception warning time data and confirmation feedback warning time data are obtained, the feedback duration data is calculated, and the feedback status data is obtained after threshold comparison. The corresponding processing plan is obtained based on the feedback status data, realizing the technology of remote data analysis of vehicle power supply.

[0039] According to an embodiment of the present invention, the obtaining of standard electrical parameter information of the vehicle power supply, device safety status information and a preset amount of real-time electrical parameter information, and extracting standard electrical parameter data, device safety status data and real-time electrical parameter data respectively, specifically includes: Obtain standard electrical parameter information of the vehicle power supply and extract standard electrical parameter data, including standard voltage data, standard current data and standard temperature data; Obtain equipment safety status information of the vehicle power supply and extract equipment safety status data, including grounding status data, leakage status data and lightning protection status data; Obtain a preset amount of real-time electrical parameter information of the vehicle power supply, and extract real-time electrical parameter data, including real-time voltage data, real-time current data, and real-time temperature data.

[0040] It should be noted that the standard electrical parameter data of the vehicle power supply refers to the values ​​of various electrical parameters of the vehicle power supply under the standard working state, among which the standard temperature data refers to the standard temperature of each electrical parameter of the vehicle power supply under the standard working state, the equipment safety status data refers to the data that seriously affects the vehicle power supply or human safety, the grounding status data refers to whether the vehicle power supply is grounded. In this example, if grounded, it means safety, and if not grounded, it means danger, and it is recorded as 0; the leakage status data refers to whether there is leakage, if no leakage, it means safety, and it is recorded as 1, if leakage, it means unsafe, and it is recorded as 0; the lightning protection status data refers to whether the vehicle power supply is connected to the lightning protection, connected, it means safety, and not connected, it means unsafe, and it is recorded as 0; the real-time electrical parameter data refers to the real-time data of the vehicle power supply at work.

[0041] According to an embodiment of the present invention, the electrical parameter safety status data is obtained by comparing the real-time electrical parameter data with a preset electrical parameter safety threshold, and the electrical parameter safety status data is combined with the device safety status data to calculate the vehicle power supply status data, specifically including: According to the preset number of real-time voltage data, real-time current data and real-time temperature data, average values ​​are calculated to obtain effective voltage data, effective current data and effective temperature data; Comparing the effective voltage data, effective current data and effective temperature data with the preset voltage safety threshold, current safety threshold and temperature safety threshold, respectively, to obtain electrical parameter safety status data, including voltage safety status data, current safety status data and temperature safety status data; Performing AND operation on the voltage safety status data, current safety status data, temperature safety status data, grounding status data, leakage status data and lightning protection status data to obtain vehicle power status data, including safety status data or dangerous status data; The calculation formula of the vehicle power supply status data is: ; in, is the voltage safety status data, is the current safety status data, is the temperature safety status data, is the grounding state data, Leakage status data and It is the lightning protection status data.

[0042] It should be noted that the mean value can effectively reflect the stable state of a parameter and is a relatively effective data. The electrical parameter safety threshold includes a voltage safety threshold, a current safety threshold, and a temperature safety threshold. The electrical parameter safety threshold refers to a limit value reflecting the safety of the vehicle power supply. If it is greater than this limit value, it is dangerous, and if it is lower than this limit value, it is safe; therefore, first obtain the effective voltage data, the effective current data, and the effective temperature data, and then compare them with the preset voltage safety threshold, the current safety threshold, and the temperature safety threshold to obtain the electrical parameter safety status data, including voltage safety status data, current safety status data, and temperature safety status data; the electrical parameter safety status data includes safe data and dangerous data. In this embodiment, the voltage safety status data is recorded as 1 when it is safe, and is recorded as 0 if it is dangerous. In the current safety status data, safety is recorded as 1 and danger is recorded as 0. In the temperature safety status data, safety is recorded as 1 and danger is recorded as 0; through the AND operation in the computer, the vehicle power supply status data is obtained, including safe status data or dangerous status data, safe is recorded as 1, and dangerous is recorded as 0.

[0043] According to an embodiment of the present invention, the determining of the vehicle power supply status data and obtaining the electrical parameter warning index by calculating the real-time electrical parameter data and the standard electrical parameter data through a preset electrical parameter warning index model specifically includes: Determining the vehicle power supply status data; If the data is in a dangerous state, the power will be automatically cut off and a safety reminder will be sent to the preset contact; If it is safe state data, the effective voltage data, effective current data, effective temperature data, standard voltage data, standard current data and standard temperature data are input into a preset electrical parameter early warning index model to calculate and obtain an electrical parameter early warning index; The calculation formula of the electrical parameter early warning index in the electrical parameter early warning index model is: ; in, is the electrical parameter warning index, is the effective voltage data, is the effective current data, is the effective temperature data, is the standard voltage data, is the standard current data, is the standard temperature data, , , , , is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset vehicle power remote data early warning analysis platform).

[0044] It should be noted that the on-board power supply can only work normally when the on-board power supply status data is safe status data. Therefore, the on-board power supply status data must be judged first. When it is dangerous status data, the power supply is automatically cut off and a safety reminder is sent to the preset contact; when it is safe status data, the electrical parameter warning index is calculated based on the effective voltage data, effective current data, effective temperature data, standard voltage data, standard current data and standard temperature data through a preset electrical parameter warning index model. The preset electrical parameter warning index model is obtained through training and analysis of a large amount of historical data, and the electrical parameter warning index can be calculated. The electrical parameter warning index refers to a data that can reflect the working status of the on-board power supply to a certain extent and quantify the warning degree.

[0045] According to an embodiment of the present invention, the step of comparing the electrical parameter warning index with a preset electrical parameter warning index threshold to obtain vehicle power warning level data specifically includes: Comparing the electrical parameter warning index with a preset electrical parameter warning index threshold to obtain vehicle power warning level data; Extracting a first threshold and a second threshold according to the electrical parameter warning index threshold, wherein the first threshold is greater than the second threshold; comparing the electrical parameter warning index with the first threshold and the second threshold; If the electrical parameter warning index is greater than the first threshold, the vehicle power warning level data is critical level data; If the electrical parameter warning index is greater than the second threshold and less than or equal to the first threshold, the vehicle power warning level data is buffer level data; If the electrical parameter warning index is less than or equal to the second threshold, the vehicle power warning level data is normal level data.

[0046] It should be noted that in order to provide more intuitive feedback on the working condition of the vehicle power supply, the vehicle power supply warning level data is obtained after comparing the threshold of the electrical parameter warning index, wherein the critical level data means that the situation is very urgent, the risk is very high, and it needs to be dealt with urgently; the buffer level data means that the operation of the vehicle power supply in this state has shown a certain degree of abnormality. Although there are risks, it can still be used and it is necessary to send a warning analysis; the normal level data means that the working state of the vehicle power supply is normal, no warning needs to be sent, and normal operation can be maintained; in this embodiment, the first threshold is 0.85, the second threshold is 0.7, and the electrical parameter warning index threshold is set to: [0, 0.7), normal level data; [0.7, 0.85), buffer level data; [0.85, 1], critical level data; when the electrical parameter warning index is calculated to be 0.8, the vehicle power supply warning level data is buffer level data.

[0047] According to an embodiment of the present invention, obtaining a corresponding processing method according to the vehicle power warning level data and sending it to the mobile terminal specifically includes: Determining the vehicle power warning level data; If the vehicle power warning level data is normal level data, maintain the current state; If the vehicle power warning level data is critical level data, the vehicle power is automatically cut off and a warning voice is sent to a preset mobile terminal and contact; If the vehicle power warning level data is buffer level data, the collection time data of the real-time electrical parameter data is obtained, and the distance critical warning time data is obtained by processing it according to the first threshold and the electrical parameter warning index through a preset distance critical warning time prediction model, and the distance critical warning time data is sent to a preset mobile terminal.

[0048] It should be noted that only after judging the vehicle power warning level can the corresponding measures be obtained. If it is critical level data, it means that the warning is serious and immediate notification is required for remote warning. The pre-set mobile terminal and contact can be notified by sending a voice message or making a voice call. At the same time, for safety reasons, the power supply will be automatically cut off. When the vehicle power warning level data is buffer level data, first obtain the collection time data of the preset number of real-time electrical parameter data, that is, the time data used from the start of collecting the first data to the end of collecting the last data. There is a certain range from reaching the buffer level to becoming critical level data. When the vehicle power appears When an early warning is issued, it means that there are certain abnormalities in the work. When an early warning is issued, it will calculate how long it will take to become critical level data according to the current change speed. The distance critical warning time data refers to the time from determining the buffer level data to the existing change situation. It is calculated how long it will take to become critical level data. This is helpful for users to know how much processing time data is available. According to the first threshold and the electrical parameter early warning index, the preset distance critical warning time prediction model is used to process and obtain the distance critical warning time data. The preset distance critical warning time prediction model is obtained through historical data analysis. The calculation formula of the distance warning time data in the preset distance warning time prediction model is: ; in, It is the distance warning duration data. is the second threshold, is the i-th electrical parameter warning index, is the i+1th electrical parameter warning index, is the electrical parameter warning index closest to the present time, n is the number of electrical parameter warning indexes obtained, To collect duration data, is the preset i-th weight coefficient, is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset vehicle power remote data early warning analysis platform).

[0049] According to an embodiment of the present invention, the obtaining of the receiving warning time data and the confirming feedback warning time data of the mobile device, obtaining feedback duration data according to the receiving warning time data and the confirming feedback warning time data, and comparing the feedback duration data with a preset feedback duration threshold to obtain feedback status data specifically includes: Acquire the receiving warning time data and the confirmation feedback warning time data of the mobile device, and subtract the confirmation feedback warning time data from the receiving warning time data to obtain feedback duration data; Comparing the feedback duration data with a preset feedback duration threshold to obtain feedback status data; Extracting a third threshold and a fourth threshold according to the feedback duration threshold, wherein the third threshold is greater than the fourth threshold; Comparing the feedback duration data with the third threshold and the fourth threshold; If the feedback duration data is greater than the third threshold, the feedback status data is no response status data; If the electrical parameter warning index is greater than the fourth threshold and less than or equal to the third threshold, the feedback state data is delayed response state data; If the electrical parameter warning index is less than or equal to the fourth threshold, the feedback status data is timely response status data.

[0050] It should be noted that after sending the warning, for safety reasons, it is necessary to obtain feedback from the warning recipient, that is, the user. If there is no feedback from the user for a long time, it is necessary to remind again; the warning reception time data refers to the time when the user receives the warning, and the confirmation feedback warning time data refers to the time when the user gives confirmation and feedback after receiving the warning. After comparing the feedback duration data with the threshold, the feedback status data can be obtained, including no response status data, delayed response status data, and timely response status data; the third threshold and the fourth threshold can be set according to user needs.

[0051] According to an embodiment of the present invention, obtaining a corresponding processing solution according to the feedback status data specifically includes: Determining the feedback status data; If the feedback status data is timely response status data, performing an operation according to the user feedback instruction; If the feedback status data is delayed response status data, sending information to the mobile terminal and notifying the preset emergency contact; If the feedback status data is no response status data, a voice reminder is sent to the preset contact.

[0052] Among them, feedback status data is data indicating the timeliness and status of feedback. After the warning is issued, users may not be able to view, confirm and provide feedback in a timely manner. In order for users to view the issued warning information, it is necessary to obtain user feedback status data and take corresponding measures for processing; voice reminders can be sending voice to communication software or making a phone call, which can be set according to user needs.

[0053] A third aspect of the present invention provides a readable storage medium, which includes a vehicle power remote data warning analysis method program. When the vehicle power remote data warning analysis method program is executed by a processor, the steps of the vehicle power remote data warning analysis method as described in any one of the above items are implemented.

[0054] The vehicle power supply remote data early warning analysis method, system and medium disclosed in the present invention obtain standard electrical parameter data, equipment safety status data and real-time electrical parameter data of the vehicle power supply, process the real-time electrical parameter data and calculate the vehicle power supply status data in combination with the equipment safety status data, judge the vehicle power supply status data, and obtain the electrical parameter early warning index according to the real-time electrical parameter data and the standard electrical parameter data, obtain the power supply early warning level data and the corresponding processing method after threshold comparison, and then calculate the feedback duration data according to the received early warning time data and the confirmed feedback early warning time data, obtain the feedback status data after threshold comparison, and then obtain the corresponding processing scheme; thereby, the technology of vehicle power supply remote data early warning analysis is realized by the method based on the vehicle power supply status data, the calculation of the electrical parameter early warning index, and the threshold comparison.

[0055] 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.

[0056] 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.

[0057] 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.

[0058] Those skilled 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 aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0059] 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 vehicle-mounted power supply remote data early warning analysis method, characterized in that: include: Obtain standard electrical parameter information, equipment safety status information and a preset amount of real-time electrical parameter information of the vehicle power supply, and extract standard electrical parameter data, equipment safety status data and real-time electrical parameter data respectively; The electrical parameter safety status data is obtained by comparing the real-time electrical parameter data with the preset electrical parameter safety threshold, and the electrical parameter safety status data is combined with the equipment safety status data to calculate the vehicle power supply status data; Determine the vehicle power supply status data, and calculate an electrical parameter warning index through a preset electrical parameter warning index model according to the real-time electrical parameter data and the standard electrical parameter data; Comparing the electrical parameter warning index with a preset electrical parameter warning index threshold to obtain vehicle power warning level data; Obtaining a corresponding processing method according to the vehicle power warning level data, and sending it to the mobile terminal; Acquire the receiving warning time data and the confirming feedback warning time data of the mobile device, obtain feedback duration data according to the receiving warning time data and the confirming feedback warning time data, and compare the feedback duration data with a preset feedback duration threshold to obtain feedback status data; A corresponding processing solution is obtained according to the feedback status data.

2. The vehicle-mounted power supply remote data early warning analysis method according to claim 1 is characterized in that: The obtaining of standard electrical parameter information of the vehicle power supply, equipment safety status information and a preset amount of real-time electrical parameter information, and extracting standard electrical parameter data, equipment safety status data and real-time electrical parameter data respectively, specifically includes: Obtain standard electrical parameter information of the vehicle power supply and extract standard electrical parameter data, including standard voltage data, standard current data and standard temperature data; Obtain equipment safety status information of the vehicle power supply and extract equipment safety status data, including grounding status data, leakage status data and lightning protection status data; Obtain a preset amount of real-time electrical parameter information of the vehicle power supply, and extract real-time electrical parameter data, including real-time voltage data, real-time current data, and real-time temperature data.

3. The vehicle-mounted power supply remote data early warning analysis method according to claim 2 is characterized in that: The step of obtaining electrical parameter safety status data by comparing the real-time electrical parameter data with a preset electrical parameter safety threshold, and calculating the vehicle power supply status data by combining the electrical parameter safety status data with the device safety status data specifically includes: According to the preset number of real-time voltage data, real-time current data and real-time temperature data, average values ​​are calculated to obtain effective voltage data, effective current data and effective temperature data; Comparing the effective voltage data, effective current data and effective temperature data with the preset voltage safety threshold, current safety threshold and temperature safety threshold respectively, to obtain electrical parameter safety status data, including voltage safety status data, current safety status data and temperature safety status data; Performing AND operation on the voltage safety status data, current safety status data, temperature safety status data, grounding status data, leakage status data and lightning protection status data to obtain vehicle power status data, including safety status data or dangerous status data; The calculation formula of the vehicle power supply status data is: ； in, is the voltage safety status data, is the current safety status data, is the temperature safety status data, is the grounding state data, Leakage status data and It is the lightning protection status data.

4. The vehicle-mounted power supply remote data early warning analysis method according to claim 3 is characterized in that: The determining of the vehicle power supply status data and obtaining the electrical parameter warning index by calculating the real-time electrical parameter data and the standard electrical parameter data through a preset electrical parameter warning index model specifically includes: Determining the vehicle power supply status data; If the data is in a dangerous state, the power will be automatically cut off and a safety reminder will be sent to the preset contact; If it is safe state data, the effective voltage data, effective current data, effective temperature data, standard voltage data, standard current data and standard temperature data are input into a preset electrical parameter early warning index model to calculate and obtain an electrical parameter early warning index; The calculation formula of the electrical parameter early warning index in the electrical parameter early warning index model is: ； in, is the electrical parameter warning index, is the effective voltage data, is the effective current data, is the effective temperature data, is the standard voltage data, is the standard current data, is the standard temperature data, , , , , is the preset characteristic coefficient.

5. The vehicle-mounted power supply remote data early warning analysis method according to claim 4 is characterized in that: The step of comparing the electrical parameter warning index with a preset electrical parameter warning index threshold to obtain vehicle power warning level data specifically includes: Comparing the electrical parameter warning index with a preset electrical parameter warning index threshold to obtain vehicle power warning level data; Extracting a first threshold and a second threshold according to the electrical parameter warning index threshold, wherein the first threshold is greater than the second threshold; comparing the electrical parameter warning index with the first threshold and the second threshold; If the electrical parameter warning index is greater than the first threshold, the vehicle power warning level data is critical level data; If the electrical parameter warning index is greater than the second threshold and less than or equal to the first threshold, the vehicle power warning level data is buffer level data; If the electrical parameter warning index is less than or equal to the second threshold, the vehicle power warning level data is normal level data.

6. The vehicle-mounted power supply remote data early warning analysis method according to claim 5 is characterized in that: The obtaining a corresponding processing method according to the vehicle power warning level data and sending it to the mobile terminal specifically includes: Determining the vehicle power warning level data; If the vehicle power warning level data is normal level data, maintain the current state; If the vehicle power warning level data is critical level data, the vehicle power is automatically cut off and a warning voice is sent to a preset mobile terminal and contact; If the vehicle power warning level data is buffer level data, the collection time data of the real-time electrical parameter data is obtained, and the distance critical warning time data is obtained by processing it according to the first threshold and the electrical parameter warning index through a preset distance critical warning time prediction model, and the distance critical warning time data is sent to a preset mobile terminal.

7. The vehicle-mounted power supply remote data early warning analysis method according to claim 6 is characterized in that: The obtaining of the receiving warning time data and the confirming feedback warning time data of the mobile device, obtaining feedback duration data according to the receiving warning time data and the confirming feedback warning time data, and comparing the feedback duration data with a preset feedback duration threshold to obtain feedback status data specifically includes: Acquire the receiving warning time data and the confirmation feedback warning time data of the mobile device, and subtract the confirmation feedback warning time data from the receiving warning time data to obtain feedback duration data; Comparing the feedback duration data with a preset feedback duration threshold to obtain feedback status data; Extracting a third threshold and a fourth threshold according to the feedback duration threshold, wherein the third threshold is greater than the fourth threshold; Comparing the feedback duration data with the third threshold and the fourth threshold; If the feedback duration data is greater than the third threshold, the feedback status data is no response status data; If the electrical parameter warning index is greater than the fourth threshold and less than or equal to the third threshold, the feedback state data is delayed response state data; If the electrical parameter warning index is less than or equal to the fourth threshold, the feedback status data is timely response status data.

8. The vehicle-mounted power supply remote data early warning analysis method according to claim 7 is characterized in that: The obtaining a corresponding processing solution according to the feedback status data specifically includes: Determining the feedback status data; If the feedback status data is timely response status data, performing an operation according to the user feedback instruction; If the feedback status data is delayed response status data, sending information to the mobile terminal and notifying the preset emergency contact; If the feedback status data is no response status data, a voice reminder is sent to the preset contact.

9. A vehicle-mounted power supply remote data early warning analysis system, characterized in that: The invention comprises a memory and a processor, wherein the memory comprises a vehicle power supply remote data early warning analysis method program, and the vehicle power supply remote data early warning analysis method program is executed by the processor to implement the following steps: Obtain standard electrical parameter information, equipment safety status information and a preset amount of real-time electrical parameter information of the vehicle power supply, and extract standard electrical parameter data, equipment safety status data and real-time electrical parameter data respectively; The electrical parameter safety status data is obtained by comparing the real-time electrical parameter data with the preset electrical parameter safety threshold, and the electrical parameter safety status data is combined with the equipment safety status data to calculate the vehicle power supply status data; Determine the vehicle power supply status data, and calculate an electrical parameter warning index through a preset electrical parameter warning index model according to the real-time electrical parameter data and the standard electrical parameter data; Comparing the electrical parameter warning index with a preset electrical parameter warning index threshold to obtain vehicle power warning level data; Obtaining a corresponding processing method according to the vehicle power warning level data, and sending it to the mobile terminal; Acquire the receiving warning time data and the confirming feedback warning time data of the mobile device, obtain feedback duration data according to the receiving warning time data and the confirming feedback warning time data, and compare the feedback duration data with a preset feedback duration threshold to obtain feedback status data; A corresponding processing solution is obtained according to the feedback status data.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a vehicle power remote data warning analysis method program, and when the vehicle power remote data warning analysis method program is executed by a processor, the steps of the vehicle power remote data warning analysis method according to any one of claims 1 to 8 are implemented.

Images