CN115991117B - Data processing-based automobile battery operation environment supervision system - Google Patents
Data processing-based automobile battery operation environment supervision system Download PDFInfo
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Abstract
The invention discloses an automobile battery operation environment monitoring system based on data processing, which belongs to the field of automobiles and is used for solving the problem that the operation environment monitoring of an automobile battery is limited to shallow data such as temperature, dust and the like.
Description
Technical Field
The invention belongs to the field of automobile batteries, relates to an operation environment supervision technology, and in particular relates to an automobile battery operation environment supervision system based on data processing.
Background
Automotive batteries are broadly classified into storage batteries and fuel cells. The battery is suitable for pure electric vehicles, including lead-acid batteries, nickel-hydrogen batteries, sodium-sulfur batteries, secondary lithium batteries, air batteries and ternary lithium batteries, and the fuel battery is specially used for fuel cell electric vehicles, including Alkaline Fuel Cells (AFC), phosphoric Acid Fuel Cells (PAFC), molten Carbonate Fuel Cells (MCFC), solid Oxide Fuel Cells (SOFC), proton Exchange Membrane Fuel Cells (PEMFC) and Direct Methanol Fuel Cells (DMFC). With the continuous development of electric automobiles, the requirements on the automobile battery are also higher and higher, so that the monitoring and supervision of the running environment of the automobile battery are also more and more important.
When the operation environment supervision of the automobile battery is limited to shallow data such as temperature, dust and the like, no comprehensive operation environment monitoring measures are set in combination with the past conditions of the automobile battery, and therefore, an automobile battery operation environment supervision system based on data processing is provided.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide an automobile battery operation environment supervision system based on data processing.
The technical problems to be solved by the invention are as follows:
how to realize the comprehensive supervision and monitoring of the running environment of the automobile battery based on the past conditions.
The aim of the invention can be achieved by the following technical scheme:
the system comprises a data acquisition module, a driving environment monitoring module, a supervision level setting module, a storage module, an environment monitoring module, an intelligent early warning module, an appearance analysis module, a vehicle-mounted terminal and a server, wherein the storage module is used for storing maintenance information of the vehicle batteries with different models and different battery numbers; the vehicle-mounted terminal generates a plurality of running routes according to the departure place and the destination and sends the running routes to the server, and after a driver selects the running routes, the server sends road data corresponding to the running routes to the running environment monitoring module;
the running environment monitoring module is used for monitoring the running environment of the automobile where the automobile battery is located, obtaining a running environment blocking value of the running route of the automobile where the automobile battery is located and feeding back to the server, and the server sends the running environment blocking value of the running route of the automobile where the automobile battery is located to the supervision grade setting module; the vehicle-mounted terminal is used for inputting the model number and the battery number of the vehicle battery and sending the model number and the battery number to the server, the server sends the model number and the battery number to the storage module, the storage module sends maintenance information to the supervision level setting module according to the model number and the battery number, the supervision level setting module is used for setting the supervision level of the vehicle battery to obtain the supervision level of the vehicle battery and feeding the supervision level back to the server, and the server sets supervision parameters corresponding to the vehicle battery according to the supervision level;
the data acquisition module is used for acquiring real-time environment data and real-time appearance data of the automobile battery in an environment supervision period and sending the real-time environment data and the real-time appearance data to the server; the storage module is also used for storing environment abnormality threshold values, standard environment data and standard appearance data of the automobile batteries of different models, and sending the corresponding standard environment data and standard appearance data to the server according to the model, wherein the server is used for sending the real-time environment data, the environment abnormality threshold values and the standard environment data to the environment monitoring module and sending the real-time appearance data and the standard appearance data to the appearance analysis module;
the environment monitoring module is used for monitoring the environment condition of the automobile battery, generating an environment abnormal signal or an environment normal signal and feeding the environment abnormal signal or the environment normal signal back to the server, and the server sends the environment abnormal signal or the environment normal signal to the intelligent early warning module; the appearance analysis module is used for analyzing the appearance condition of the automobile battery, generating an appearance abnormal signal or an appearance normal signal and feeding the appearance abnormal signal or the appearance normal signal back to the server, and the server sends the appearance abnormal signal or the appearance normal signal to the intelligent early warning module; the intelligent early warning module is used for carrying out intelligent early warning on the running environment of the automobile battery, feeding back early warning instructions of different grades to the server, sending the early warning instructions of different grades to the vehicle-mounted terminal by the server, and carrying out display operation by the vehicle-mounted terminal according to the early warning instructions of different grades.
Further, the maintenance information comprises the maintenance times of the automobile battery, the maintenance time and the starting use time of each maintenance;
the real-time environment data are a real-time temperature value, a real-time current value and a real-time voltage value of the automobile battery;
the real-time appearance data are real-time battery pictures of six visual angles of the automobile battery and real-time dust values on the real-time battery pictures corresponding to the six visual angles of the automobile battery;
the standard environment data are a temperature standard interval, a current standard interval and a voltage standard interval of the automobile battery;
the standard appearance data are battery standard pictures of six visual angles of the automobile battery;
the road data are the number of deceleration strips, the number of turns and the number of traffic lights on the running road of the automobile where the automobile battery is located.
Further, the monitoring process of the driving environment monitoring module is specifically as follows:
acquiring the number of deceleration strips and the number of traffic lights on an automobile running route where an automobile battery is located;
then obtaining the number of turns on the automobile running route of the automobile battery and the bending degree of each turn, adding and summing the bending degree of each turn, and taking an average value to obtain the bending uniformity of the turn on the automobile running route of the automobile battery;
and calculating the running environment obstruction value of the running route of the automobile where the automobile battery is located.
Further, the setting process of the supervision level setting module is specifically as follows:
obtaining the starting use time of the automobile battery, and subtracting the starting use time from the current time of the server to obtain the input use time of the automobile battery;
then, the maintenance times of the automobile battery are obtained;
the maintenance time of the automobile battery in each maintenance is obtained, the maintenance time of the automobile battery in the last maintenance is obtained according to the time sequence, and the maintenance interval time of the automobile battery is obtained by subtracting the maintenance time of the last maintenance from the current time of the server;
calculating a supervision value of the automobile battery according to a running environment obstruction value of an automobile running route of the automobile battery;
the supervision value is compared with the supervision threshold value to judge that the supervision level of the automobile battery is a third supervision level, a second supervision level or a first supervision level.
Further, the server sets the corresponding supervision parameters of the automobile battery according to the supervision level, specifically:
if the supervision level of the automobile battery is the third supervision level, setting N1 time points in the environmental supervision period;
if the supervision level of the automobile battery is the second supervision level, setting N2 time points in the environmental supervision period;
if the supervision level of the automobile battery is the first supervision level, setting N3 time points in the environmental supervision period; wherein N1, N2 and N3 are all positive integers with fixed values, and N1 is less than N2 and less than N3.
Further, the monitoring process of the environment monitoring module is specifically as follows:
acquiring an environment supervision period corresponding to an automobile battery, setting a plurality of time points in the environment supervision period, and counting the number of the time points to be recorded as time points;
then acquiring a real-time temperature value and a real-time voltage value of the automobile battery at a plurality of time points;
meanwhile, acquiring a temperature standard interval and a voltage standard interval of the automobile battery according to the model, marking a time point of which the real-time temperature value is not in the temperature standard interval as a different-temperature time point, and marking a time point of which the real-time voltage value is not in the voltage standard interval as a different-voltage time point;
counting the number of different temperature time points and the number of time points to obtain a temperature abnormality coefficient, and counting the number of different pressure time points and the number of time points to obtain a pressure abnormality coefficient;
calculating to obtain an environment abnormal value of the automobile battery in an environment supervision period;
and finally, acquiring an environment abnormal threshold corresponding to the automobile battery according to the model, generating an environment normal signal if the environment abnormal value is smaller than the environment abnormal threshold, and generating an environment abnormal signal if the environment abnormal value is larger than or equal to the environment abnormal threshold.
Further, the analysis process of the appearance analysis module is specifically as follows:
acquiring real-time battery pictures corresponding to six visual angles of an automobile battery, and obtaining real-time dust values on six groups of real-time battery pictures;
if the real-time dust value exceeds the dust threshold value, generating an appearance abnormal signal;
if the real-time dust value does not exceed the dust threshold value, the six groups of real-time battery pictures are regarded as a plurality of equally-divided real-time picture squares, and corresponding position coordinates of each real-time picture square are given;
carrying out gray level processing on a real-time picture square of the real-time battery picture to obtain a real-time gray level value of each pixel point on the real-time picture square;
at this time, obtaining battery standard pictures corresponding to six visual angles of the automobile battery, regarding six groups of battery standard pictures as a plurality of equally divided standard picture squares, and giving corresponding position coordinates to each standard picture square;
carrying out gray level processing on a standard picture square of a standard picture of the battery to obtain a standard gray level value of each pixel point on the standard picture square;
according to the same visual angle, calculating the difference value between the standard gray value of each pixel point on the standard picture square and the real-time gray value of each pixel point on the real-time picture square, and taking the absolute value to obtain the gray difference value between the pixel point in the real-time picture square and the corresponding pixel point in the standard picture square;
if the gray level difference value of any pixel point in the real-time picture square exceeds a set threshold value, calibrating the real-time picture square where the pixel point is positioned as an abnormal picture square;
counting the number of abnormal picture grids, generating an environment maintenance signal if the number of abnormal picture grids in any real-time battery picture exceeds one third of the total number of the real-time picture grids, and generating an appearance normal signal if the number of abnormal picture grids in the six groups of real-time battery pictures does not exceed one third of the total number of the real-time picture grids.
Further, the working process of the intelligent early warning module is specifically as follows:
if the environment abnormal signal and the appearance abnormal signal are received at the same time, a first-level early warning instruction is generated;
if the environment abnormal signal or the appearance abnormal signal is received at the same time, a secondary early warning instruction is generated;
and if the environment normal signal and the appearance normal signal are received at the same time, generating a three-level early warning instruction.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, firstly, the running environment of an automobile where an automobile battery is located is monitored through a running environment monitoring module, a running environment blocking value of an automobile running route where the automobile battery is located is obtained and sent to a supervision level setting module, the supervision level of the automobile battery is set through the supervision level setting module, the supervision level of the automobile battery is obtained, a server sets supervision parameters corresponding to the automobile battery according to the supervision level, then, on the one hand, the environment condition of the automobile battery is monitored through an environment monitoring module, an environment abnormal signal or an environment normal signal is generated and sent to an intelligent early warning module, on the other hand, the appearance condition of the automobile battery is analyzed through an appearance analysis module, the appearance abnormal signal or the appearance normal signal is generated and sent to the intelligent early warning module, the intelligent early warning module carries out intelligent early warning on the running environment of the automobile battery by combining different signals, and obtains early warning instructions of different levels to be fed back to a vehicle-mounted terminal, the vehicle-mounted terminal carries out display operation according to the early warning instructions of different levels.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is an overall system block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, the system for supervising the running environment of the automobile battery based on data processing comprises a data acquisition module, a running environment monitoring module, a supervision level setting module, a storage module, an environment monitoring module, an intelligent early warning module, an appearance analysis module, an on-board terminal and a server;
before the system is needed to be used, a driver of the automobile can log in the system after inputting corresponding registration information through the vehicle-mounted terminal, and the vehicle-mounted terminal is a vehicle-mounted machine on the automobile when the vehicle-mounted terminal is specifically used;
the server is in data connection with a storage module, the supervision grade setting module is connected with the storage module, and the storage module is used for storing maintenance information of automobile batteries with different models and different battery numbers;
the maintenance information includes the maintenance times of the automobile battery, the maintenance time and the starting use time of each maintenance;
the vehicle-mounted terminal generates a plurality of running routes according to the departure place and the destination and sends the running routes to the server, and after a driver selects the running routes, the server sends road data corresponding to the running routes to the running environment monitoring module;
the road data is the number of deceleration strips, the number of turns, the number of traffic lights and the like on the running road of the automobile where the automobile battery is located; in this embodiment, considering the engine start-stop technology of the automobile, when the automobile encounters more red lights, the automobile stops running, the engine stops running, and the engine starts at the green lights, so the service life of the automobile will be affected by multiple engine starts;
the driving environment monitoring module is used for monitoring the driving environment of the automobile where the automobile battery is located, and the monitoring process is specifically as follows:
acquiring the number of deceleration strips on an automobile running route where an automobile battery is located, marking the number of deceleration strips as JSu, wherein u=1, 2, … …, z, z is a positive integer, and u represents the number of the automobile battery;
then obtaining the number ZWu of turns on the automobile running route of the automobile battery and the bending degree of each turn, adding and summing the bending degree of each turn, and taking an average value to obtain the bending uniformity JWQu of the turns on the automobile running route of the automobile battery;
finally, the number of traffic lights on the running route of the automobile where the automobile battery is located is obtained, and the number of traffic lights is marked as HLu;
the running environment inhibition value XZu of the running route of the automobile where the automobile battery is located is calculated by the formula XZu = ZWu ×c1+ ZWu ×c2+jwqu×c3+ HLu ×c4; wherein c1, c2, c3 and c4 are weight coefficients with fixed values, and the values of c1, c2, c3 and c4 are all larger than zero;
the running environment monitoring module feeds back a running environment blocking value XZu of a running route of the automobile where the automobile battery is located to the server, and the server sends a running environment blocking value XZu of the running route of the automobile where the automobile battery is located to the supervision grade setting module;
when the system is required to be used, the vehicle-mounted terminal is used for inputting the model number and the battery number of the vehicle battery and sending the model number and the battery number of the vehicle battery to the server, the server sends the model number and the battery number of the vehicle battery to the storage module, the storage module sends maintenance information of the vehicle battery to the supervision grade setting module according to the model number and the battery number, and the supervision grade setting module is used for setting the supervision grade of the vehicle battery, and the setting process is specifically as follows:
obtaining the starting use time of the automobile battery, and subtracting the starting use time from the current time of the server to obtain the input use time TSu of the automobile battery, wherein u=1, 2, … …, z, z is a positive integer, and u represents the number of the automobile battery;
then, the maintenance times of the automobile battery are obtained, and the maintenance times are marked as WCu;
the maintenance time of the automobile battery in each maintenance is obtained, the maintenance time of the automobile battery in the last maintenance is obtained according to the time sequence, and the maintenance interval duration TJu of the automobile battery is obtained by subtracting the maintenance time of the last maintenance from the current time of the server;
finally, acquiring a running environment obstruction value XZu of the running route of the automobile where the automobile battery is located;
the supervision value JGu of the car battery is calculated by the formula JGu = TSu ×a1+wcu×a2+ TJu ×a3+ XZu ×a4; wherein a1, a2, a3 and a4 are weight coefficients with fixed values, and the values of a1, a2, a3 and a4 are all larger than zero, in the specific implementation, the values of a1, a2, a3 and a4 are only required to have no influence on the positive-negative ratio relation between the parameters and the result values, so that the value of a1 can be 0.5, the value of a2 can be 0.7, the value of a3 can be 0.2, the value of a4 can be 0.5, meanwhile, the value of a1 can also be 0.16, the value of a2 can also be 0.59, the value of a3 can also be 0.21, and the value of a4 can be 0.55;
if JGu is less than X1, the supervision grade of the automobile battery is a third supervision grade;
if X1 is less than or equal to JGu and less than X2, the supervision grade of the automobile battery is a second supervision grade;
if X2 is less than or equal to JGu, the supervision grade of the automobile battery is the first supervision grade; wherein X1 and X2 are both supervision thresholds of fixed values, and X1 is less than X2;
the supervision level setting module feeds the supervision level of the automobile battery back to the server, and the server sets supervision parameters corresponding to the automobile battery according to the supervision level, specifically:
if the supervision level of the automobile battery is the third supervision level, setting N1 time points in the environmental supervision period;
if the supervision level of the automobile battery is the second supervision level, setting N2 time points in the environmental supervision period;
if the supervision level of the automobile battery is the first supervision level, setting N3 time points in the environmental supervision period; wherein N1, N2 and N3 are positive integers with fixed values, and N1 is more than N2 and less than N3;
the data acquisition module is used for acquiring real-time environment data and real-time appearance data of the automobile battery in an environment supervision period, and transmitting the real-time environment data and the real-time appearance data to the server, wherein the server transmits the real-time environment data to the environment monitoring module, and the server transmits the real-time appearance data to the appearance analysis module;
the real-time environment data are a real-time temperature value, a real-time current value, a real-time voltage value and the like of the automobile battery; the real-time appearance data are real-time battery pictures of six visual angles of the automobile battery and real-time dust values (dust amounts) on the real-time battery pictures corresponding to the six visual angles of the automobile battery;
in the implementation, the data acquisition module can be a dust sensor, a voltage sensor, a current sensor and a temperature sensor which are arranged on the automobile battery, or a high-definition camera which is arranged on the automobile and can completely shoot the automobile battery;
the storage module is also used for storing environment abnormality thresholds, standard environment data and standard appearance data of the automobile batteries of different models, and sending the corresponding standard environment data and standard appearance data to the server according to the model, wherein the server is used for sending the environment abnormality thresholds and the standard environment data to the environment monitoring module, and the server is used for sending the standard appearance data to the appearance analysis module;
the standard environment data are a temperature standard interval, a current standard interval, a voltage standard interval and the like of the automobile battery; the standard appearance data are battery standard pictures of six visual angles of the automobile battery;
the environment monitoring module is used for monitoring the environment condition of the automobile battery, in this embodiment, two parameters, namely a real-time temperature value and a real-time voltage value, are mainly adopted, and it is understood that the more the parameters are used, the more accurate the monitoring result of the environment condition of the automobile battery is, and the monitoring process is specifically as follows:
acquiring an environment supervision period corresponding to an automobile battery, setting a plurality of time points in the environment supervision period, and counting the number of the time points to be recorded as time points;
then acquiring a real-time temperature value and a real-time voltage value of the automobile battery at a plurality of time points;
meanwhile, acquiring a temperature standard interval and a voltage standard interval of the automobile battery according to the model, marking a time point of which the real-time temperature value is not in the temperature standard interval as a different-temperature time point, and marking a time point of which the real-time voltage value is not in the voltage standard interval as a different-voltage time point;
counting the number of different temperature time points and the number of time points to obtain a temperature abnormality coefficient, and counting the number of different pressure time points and the number of time points to obtain a pressure abnormality coefficient;
the environment abnormal value of the automobile battery in the environment supervision period is obtained through formula calculation, wherein the formula is specifically as follows:
environment anomaly value= (temperature anomaly coefficient×b1+pressure anomaly coefficient×b2)/(b1+b2), wherein b1 and b2 are both proportional coefficients of fixed values, and the values of b1 and b2 are both greater than zero;
finally, acquiring an environment abnormal threshold corresponding to the automobile battery according to the model, generating an environment normal signal if the environment abnormal value is smaller than the environment abnormal threshold, and generating an environment abnormal signal if the environment abnormal value is larger than or equal to the environment abnormal threshold;
the environment monitoring module feeds back an environment abnormal signal or an environment normal signal to the server, and the server sends the environment abnormal signal or the environment normal signal to the intelligent early warning module;
the appearance analysis module is used for analyzing the appearance condition of the automobile battery, and the analysis process is specifically as follows:
acquiring real-time battery pictures corresponding to six visual angles of an automobile battery, and obtaining real-time dust values on six groups of real-time battery pictures;
if the real-time dust value does not exceed the dust threshold value, entering the next step, and if the real-time dust value exceeds the dust threshold value, generating an appearance abnormal signal;
then, regarding six groups of real-time battery pictures as a plurality of equally-divided real-time picture squares, and endowing each real-time picture square with a corresponding position coordinate, wherein the left upper corner of the real-time battery picture is taken as an origin;
carrying out gray level processing on a real-time picture square of the real-time battery picture to obtain a real-time gray level value of each pixel point on the real-time picture square, wherein the gray level value is an RGB value;
at this time, obtaining battery standard pictures corresponding to six visual angles of the automobile battery, regarding six groups of battery standard pictures as a plurality of equally divided standard picture squares, and endowing each standard picture square with corresponding position coordinates, wherein the upper left corner of the battery standard picture is taken as an origin;
carrying out gray processing on a standard picture square of a standard picture of the battery to obtain a standard gray value of each pixel point on the standard picture square, wherein the gray value is an RGB value;
according to the same visual angle, calculating the difference value between the standard gray value of each pixel point on the standard picture square and the real-time gray value of each pixel point on the real-time picture square, and taking the absolute value to obtain the gray difference value between the pixel point in the real-time picture square and the corresponding pixel point in the standard picture square;
if the gray level difference value of any pixel point in the real-time picture square exceeds a set threshold value, calibrating the real-time picture square where the pixel point is positioned as an abnormal picture square;
counting the number of abnormal picture grids, generating an environment maintenance signal if the number of abnormal picture grids in any real-time battery picture exceeds one third of the total number of the real-time picture grids, and generating an appearance normal signal if the number of abnormal picture grids in the six groups of real-time battery pictures does not exceed one third of the total number of the real-time picture grids;
the appearance analysis module feeds back an appearance abnormal signal or an appearance normal signal to the server, and the server sends the appearance abnormal signal or the appearance normal signal to the intelligent early warning module;
the intelligent early warning module is used for carrying out intelligent early warning on the running environment of the automobile battery, and the working process is specifically as follows:
if the environment abnormal signal and the appearance abnormal signal are received at the same time, a first-level early warning instruction is generated;
if the environment abnormal signal or the appearance abnormal signal is received at the same time, a secondary early warning instruction is generated;
if the environment normal signal and the appearance normal signal are received at the same time, a three-level early warning instruction is generated;
the intelligent early warning module feeds back a first-level early warning instruction, a second-level early warning instruction or a third-level early warning instruction to the server, the server sends the early warning instruction to the vehicle-mounted terminal according to different grades, and the vehicle-mounted terminal displays according to the early warning instruction of different grades, specifically:
if the first-level early warning instruction is a first-level early warning instruction, generating an automobile battery shutdown word;
if the second-level early warning instruction is generated, generating an automobile battery check word;
if the early warning command is a three-level early warning command, generating an 'automobile battery normal' word;
the formula is a formula for obtaining the numerical value by removing dimensions, the formula is a formula for obtaining the latest real situation by collecting a large amount of data and performing software simulation, the size of the proportionality coefficient is a specific numerical value obtained by quantizing each parameter, and the proportionality relation between the parameter and the quantized numerical value is not influenced.
Example two
Based on the further conception of the unified invention, a working method of an automobile battery operation environment supervision system based on data processing is provided, and the working method is specifically as follows:
step S100, the vehicle-mounted terminal inputs the model number and the battery number of the vehicle battery and sends the model number and the battery number of the vehicle battery to the server, the server sends the model number and the battery number of the vehicle battery to the storage module, the storage module sends maintenance information of the vehicle battery to the supervision level setting module according to the model number and the battery number, the vehicle-mounted terminal generates a plurality of driving routes according to the departure place and the destination and sends the driving routes to the server, after a driver selects the driving route, the server sends road data corresponding to the driving routes to the driving environment monitoring module, the driving environment monitoring module monitors the driving environment of the vehicle where the vehicle battery is located, obtains the number of deceleration strips on the driving route of the vehicle where the vehicle battery is located, and marks the number of deceleration strips as JSu, then obtaining the number ZWu of turns on the automobile running route of the automobile battery and the curvature of each turn, adding and summing the curvature of each turn to obtain the curvature uniformity JWQu of the turns on the automobile running route of the automobile battery, finally obtaining the number of traffic lights on the automobile running route of the automobile battery, marking the number of the traffic lights as HLu, calculating the running environment obstruction value XZu of the automobile running route of the automobile battery by using a formula XZu = ZWu ×c1+ ZWu ×c2+JWQu×c3+ HLu ×c4, feeding back the running environment obstruction value XZu of the automobile running route of the automobile battery to a server by using a running environment monitoring module, and sending the running environment obstruction value XZu of the automobile running route of the automobile battery to a supervision grade setting module;
step S200, setting the supervision level of the automobile battery by using a supervision level setting module, obtaining the starting use time of the automobile battery, subtracting the starting use time from the current time of the server to obtain the input use time TSu of the automobile battery, obtaining the maintenance times WCu of the automobile battery, finally obtaining the maintenance time of the automobile battery when each time is maintained, obtaining the maintenance time of the automobile battery when the last time is maintained according to the time sequence, subtracting the maintenance time of the last time is maintained from the current time of the server to obtain the maintenance interval time TJu of the automobile battery, finally obtaining the running environment obstruction value XZu of the automobile running route of the automobile battery obtained through calculation, obtaining the supervision value JGu of the automobile battery through the formula JGu = TSu ×a1+WCu×a2+ TJu ×a3+ XZu ×a4, if JGu is less than X1, the supervision level of the automobile battery is a third supervision level, if X1 is less than or equal to JGu and less than X2, the supervision level of the automobile battery is a second supervision level, if X2 is less than or equal to JGu, the supervision level of the automobile battery is a first supervision level, the supervision level setting module feeds back the supervision level of the automobile battery to the server, the server sets supervision parameters corresponding to the automobile battery according to the supervision level, if the supervision level of the automobile battery is the third supervision level, N1 time points are set in the environmental supervision period, if the supervision level of the automobile battery is the second supervision level, N2 time points are set in the environmental supervision period, and if the supervision level of the automobile battery is the first supervision level, N3 time points are set in the environmental supervision period;
step S300, a data acquisition module acquires real-time environment data and real-time appearance data of an automobile battery in an environment supervision period, the real-time environment data and the real-time appearance data are sent to a server, the server sends the real-time environment data to an environment monitoring module, the server sends the real-time appearance data to an appearance analysis module, meanwhile, a storage module also stores environment abnormal threshold values, standard environment data and standard appearance data of automobile batteries of different types, and sends corresponding standard environment data and standard appearance data to the server according to the types, the server sends the environment abnormal threshold values and the standard environment data to the environment monitoring module, and the server sends the standard appearance data to the appearance analysis module;
step S400, the environmental condition of the automobile battery is monitored through an environment monitoring module, a corresponding environment monitoring period of the automobile battery is obtained, a plurality of time points are set in the environment monitoring period, the number of the time points is counted to be time points, then a real-time temperature value and a real-time voltage value of the automobile battery are obtained when the plurality of time points are obtained, meanwhile, a temperature standard interval and a voltage standard interval of the automobile battery are obtained according to models, the time point, in which the real-time temperature value is not in the temperature standard interval, is counted to be an abnormal-temperature time point, the time point, in which the real-time voltage value is not in the voltage standard interval, is counted to be the abnormal-pressure time point, the number of the abnormal-temperature time points is counted to be time points to obtain a temperature abnormal coefficient, the number of the abnormal-pressure time points is counted to obtain a pressure abnormal coefficient, the environmental abnormal value of the automobile battery in the environment monitoring period is calculated through a formula, finally, if the environmental abnormal value is smaller than the environmental abnormal threshold corresponding to the environment abnormal value of the automobile battery is obtained, an environmental normal signal is generated, if the environmental abnormal value is larger than the environmental abnormal threshold, the environmental abnormal signal is generated, and the environmental abnormal signal is fed back to the server by the environment monitoring module to the environment abnormal signal or the intelligent normal signal to the intelligent early warning module;
step S500, analyzing the appearance condition of the automobile battery by utilizing an appearance analysis module, obtaining real-time battery pictures corresponding to six visual angles of the automobile battery, obtaining real-time dust values on six groups of real-time battery pictures, generating appearance abnormal signals if the real-time dust values exceed a dust threshold, regarding the six groups of real-time battery pictures as a plurality of equally divided real-time picture grids, giving corresponding position coordinates to each real-time picture grid, carrying out gray scale processing on the real-time picture grids of the real-time battery pictures, obtaining real-time gray scale values of each pixel point on the real-time picture grids, obtaining battery standard pictures corresponding to six visual angles of the automobile battery at the moment, regarding the six groups of battery standard pictures as a plurality of equally divided standard picture grids, and giving corresponding position coordinates to each standard picture square, carrying out gray processing on the standard picture square of the battery standard picture to obtain a standard gray value of each pixel point on the standard picture square, calculating a difference value between the standard gray value of each pixel point on the standard picture square and the real-time gray value of each pixel point on the real-time picture square according to the same visual angle, taking an absolute value to obtain a gray difference value between the pixel point in the real-time picture square and the corresponding pixel point in the standard picture square, calibrating the real-time picture square where the pixel point is located as an abnormal picture square if the gray difference value of any pixel point in the real-time picture square exceeds a set threshold value, counting the number of the abnormal picture square, generating an environment maintenance signal if the number of the abnormal picture square in any real-time battery picture exceeds one third of the total number of the real-time picture square, if the number of abnormal picture squares in the six groups of real-time battery pictures is not more than one third of the total number of the real-time picture squares, generating an appearance normal signal, feeding back the appearance abnormal signal or the appearance normal signal to a server by an appearance analysis module, and transmitting the appearance abnormal signal or the appearance normal signal to an intelligent early warning module by the server;
step S600, the intelligent early warning module carries out intelligent early warning on the running environment of the automobile battery, if the environment abnormal signal and the appearance abnormal signal are received simultaneously, a first-level early warning instruction is generated, if the environment abnormal signal or the appearance abnormal signal is received simultaneously, a second-level early warning instruction is generated, if the environment normal signal and the appearance normal signal are received simultaneously, a third-level early warning instruction is generated, the intelligent early warning module feeds back the first-level early warning instruction, the second-level early warning instruction or the third-level early warning instruction to the server, the server sends the early warning instructions according to different levels to the vehicle-mounted terminal, and the vehicle-mounted terminal carries out display operation according to the early warning instructions of different levels.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (7)
1. The system is characterized by comprising a data acquisition module, a driving environment monitoring module, a supervision level setting module, a storage module, an environment monitoring module, an intelligent early warning module, an appearance analysis module, a vehicle-mounted terminal and a server, wherein the storage module is used for storing maintenance information of the vehicle batteries with different models and different battery numbers; the vehicle-mounted terminal generates a plurality of running routes according to the departure place and the destination and sends the running routes to the server, and after a driver selects the running routes, the server sends road data corresponding to the running routes to the running environment monitoring module;
the running environment monitoring module is used for monitoring the running environment of the automobile where the automobile battery is located, obtaining a running environment blocking value of the running route of the automobile where the automobile battery is located and feeding back to the server, and the server sends the running environment blocking value of the running route of the automobile where the automobile battery is located to the supervision grade setting module; the vehicle-mounted terminal is used for inputting the model number and the battery number of the vehicle battery and sending the model number and the battery number to the server, the server sends the model number and the battery number to the storage module, the storage module sends maintenance information to the supervision level setting module according to the model number and the battery number, and the supervision level setting module is used for setting the supervision level of the vehicle battery, and the setting process is specifically as follows:
obtaining the starting use time of the automobile battery, and subtracting the starting use time from the current time of the server to obtain the input use time of the automobile battery;
then, the maintenance times of the automobile battery are obtained;
the maintenance time of the automobile battery in each maintenance is obtained, the maintenance time of the automobile battery in the last maintenance is obtained according to the time sequence, and the maintenance interval time of the automobile battery is obtained by subtracting the maintenance time of the last maintenance from the current time of the server;
calculating a supervision value of the automobile battery according to a running environment obstruction value of an automobile running route of the automobile battery;
the supervision value is compared with the supervision threshold value to judge whether the supervision level of the automobile battery is a third supervision level, a second supervision level or a first supervision level;
the supervision level setting module feeds the supervision level of the automobile battery back to the server, and the server sets corresponding supervision parameters of the automobile battery according to the supervision level;
the data acquisition module is used for acquiring real-time environment data and real-time appearance data of the automobile battery in an environment supervision period and sending the real-time environment data and the real-time appearance data to the server; the storage module is also used for storing environment abnormality threshold values, standard environment data and standard appearance data of the automobile batteries of different models, and sending the corresponding standard environment data and standard appearance data to the server according to the model, wherein the server is used for sending the real-time environment data, the environment abnormality threshold values and the standard environment data to the environment monitoring module and sending the real-time appearance data and the standard appearance data to the appearance analysis module;
the environment monitoring module is used for monitoring the environment condition of the automobile battery, generating an environment abnormal signal or an environment normal signal and feeding the environment abnormal signal or the environment normal signal back to the server, and the server sends the environment abnormal signal or the environment normal signal to the intelligent early warning module; the appearance analysis module is used for analyzing the appearance condition of the automobile battery, generating an appearance abnormal signal or an appearance normal signal and feeding the appearance abnormal signal or the appearance normal signal back to the server, and the server sends the appearance abnormal signal or the appearance normal signal to the intelligent early warning module; the intelligent early warning module is used for carrying out intelligent early warning on the running environment of the automobile battery, feeding back early warning instructions of different grades to the server, sending the early warning instructions of different grades to the vehicle-mounted terminal by the server, and carrying out display operation by the vehicle-mounted terminal according to the early warning instructions of different grades.
2. The data processing-based car battery operation environment supervision system according to claim 1, wherein the maintenance information includes the number of maintenance times of the car battery and the maintenance time and the start-up time at each maintenance;
the real-time environment data are a real-time temperature value, a real-time current value and a real-time voltage value of the automobile battery;
the real-time appearance data are real-time battery pictures of six visual angles of the automobile battery and real-time dust values on the real-time battery pictures corresponding to the six visual angles of the automobile battery;
the standard environment data are a temperature standard interval, a current standard interval and a voltage standard interval of the automobile battery;
the standard appearance data are battery standard pictures of six visual angles of the automobile battery;
the road data are the number of deceleration strips, the number of turns and the number of traffic lights on the running road of the automobile where the automobile battery is located.
3. The data processing-based automotive battery operation environment monitoring system according to claim 1, wherein the monitoring process of the driving environment monitoring module is specifically as follows:
acquiring the number of deceleration strips and the number of traffic lights on an automobile running route where an automobile battery is located;
then obtaining the number of turns on the automobile running route of the automobile battery and the bending degree of each turn, adding and summing the bending degree of each turn, and taking an average value to obtain the bending uniformity of the turn on the automobile running route of the automobile battery;
and calculating the running environment obstruction value of the running route of the automobile where the automobile battery is located.
4. The data processing-based vehicle battery operation environment supervision system according to claim 1, wherein the server sets supervision parameters corresponding to the vehicle battery according to the supervision level, specifically:
if the supervision level of the automobile battery is the third supervision level, setting N1 time points in the environmental supervision period;
if the supervision level of the automobile battery is the second supervision level, setting N2 time points in the environmental supervision period;
if the supervision level of the automobile battery is the first supervision level, setting N3 time points in the environmental supervision period; wherein N1, N2 and N3 are all positive integers with fixed values, and N1 is less than N2 and less than N3.
5. The data processing-based automotive battery operation environment monitoring system according to claim 1, wherein the monitoring process of the environment monitoring module is specifically as follows:
acquiring an environment supervision period corresponding to an automobile battery, setting a plurality of time points in the environment supervision period, and counting the number of the time points to be recorded as time points;
then acquiring a real-time temperature value and a real-time voltage value of the automobile battery at a plurality of time points;
meanwhile, acquiring a temperature standard interval and a voltage standard interval of the automobile battery according to the model, marking a time point of which the real-time temperature value is not in the temperature standard interval as a different-temperature time point, and marking a time point of which the real-time voltage value is not in the voltage standard interval as a different-voltage time point;
counting the number of different temperature time points and the number of time points to obtain a temperature abnormality coefficient, and counting the number of different pressure time points and the number of time points to obtain a pressure abnormality coefficient;
calculating to obtain an environment abnormal value of the automobile battery in an environment supervision period;
and finally, acquiring an environment abnormal threshold corresponding to the automobile battery according to the model, generating an environment normal signal if the environment abnormal value is smaller than the environment abnormal threshold, and generating an environment abnormal signal if the environment abnormal value is larger than or equal to the environment abnormal threshold.
6. The data processing-based automotive battery operation environment monitoring system according to claim 1, wherein the analysis process of the appearance analysis module is specifically as follows:
acquiring real-time battery pictures corresponding to six visual angles of an automobile battery, and obtaining real-time dust values on six groups of real-time battery pictures;
if the real-time dust value exceeds the dust threshold value, generating an appearance abnormal signal;
if the real-time dust value does not exceed the dust threshold value, the six groups of real-time battery pictures are regarded as a plurality of equally-divided real-time picture squares, and corresponding position coordinates of each real-time picture square are given;
carrying out gray level processing on a real-time picture square of the real-time battery picture to obtain a real-time gray level value of each pixel point on the real-time picture square;
at this time, obtaining battery standard pictures corresponding to six visual angles of the automobile battery, regarding six groups of battery standard pictures as a plurality of equally divided standard picture squares, and giving corresponding position coordinates to each standard picture square;
carrying out gray level processing on a standard picture square of a standard picture of the battery to obtain a standard gray level value of each pixel point on the standard picture square;
according to the same visual angle, calculating the difference value between the standard gray value of each pixel point on the standard picture square and the real-time gray value of each pixel point on the real-time picture square, and taking the absolute value to obtain the gray difference value between the pixel point in the real-time picture square and the corresponding pixel point in the standard picture square;
if the gray level difference value of any pixel point in the real-time picture square exceeds a set threshold value, calibrating the real-time picture square where the pixel point is positioned as an abnormal picture square;
counting the number of abnormal picture grids, generating an environment maintenance signal if the number of abnormal picture grids in any real-time battery picture exceeds one third of the total number of the real-time picture grids, and generating an appearance normal signal if the number of abnormal picture grids in the six groups of real-time battery pictures does not exceed one third of the total number of the real-time picture grids.
7. The data processing-based automotive battery operation environment monitoring system according to claim 1, wherein the working process of the intelligent early warning module is specifically as follows:
if the environment abnormal signal and the appearance abnormal signal are received at the same time, a first-level early warning instruction is generated;
if any one of the environment abnormal signal or the appearance abnormal signal is received, a secondary early warning instruction is generated;
and if the environment normal signal and the appearance normal signal are received at the same time, generating a three-level early warning instruction.
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