CN115206002A - Intelligent networking automobile detection system and method - Google Patents
Intelligent networking automobile detection system and method Download PDFInfo
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- CN115206002A CN115206002A CN202211118193.1A CN202211118193A CN115206002A CN 115206002 A CN115206002 A CN 115206002A CN 202211118193 A CN202211118193 A CN 202211118193A CN 115206002 A CN115206002 A CN 115206002A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
- G07C5/085—Registering performance data using electronic data carriers
- G07C5/0866—Registering performance data using electronic data carriers the electronic data carrier being a digital video recorder in combination with video camera
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M17/00—Testing of vehicles
- G01M17/007—Wheeled or endless-tracked vehicles
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/02—Registering or indicating driving, working, idle, or waiting time only
- G07C5/06—Registering or indicating driving, working, idle, or waiting time only in graphical form
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0808—Diagnosing performance data
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Abstract
The invention relates to the field of automobile detection, and discloses an intelligent network-connected automobile detection system and method, which comprises a main control module, a three-dimensional construction module, a position marking module, a position tracking module, an automobile marking module, a driving state control module, a vibration sensing module and a temperature sensing module, wherein the three-dimensional construction module is used for three-dimensional visual modeling of a detection field, the position marking module is used for line grading marking of a driving line in the driving field during automobile detection, the position tracking module is used for three-dimensional space coordinate marking of each position node on a driving road, the automobile marking module is used for marking an automobile on each driving road, the driving state control module is used for driving parameter control of the automobile during driving, the vibration sensing module and the temperature sensing module are respectively installed on the automobile to be detected, the vibration sensing module is used for detecting vibration intensity parameters of lithium batteries connected with the vibration sensing module, the temperature sensing module is used for detecting temperature parameters and temperature change rate of the lithium batteries connected with the temperature sensing module, the analysis module is used for analyzing and processing vibration parameters and temperature parameter information, and the monitoring camera shooting module is used for detecting the monitoring camera during driving of the automobile.
Description
Technical Field
The invention relates to the field of automobile detection, in particular to an intelligent networking automobile detection system and method.
Background
The intelligent networking automobile is the organic association of car networking and intelligent car, it has advanced control system to carry on, it is modern communication and network technology to ally oneself with, realize intelligent information exchange sharing such as car and people, car, road, backstage, realize safety, it is comfortable, energy-conserving, high-efficient driving, to the new energy automobile who uses the lithium cell, the incident high frequency that the lithium cell generates heat and intensifies and cause, so, for its security in the use, need carry out safety inspection to the lithium cell before it is produced by a large amount, when carrying out safety inspection to the lithium cell, need set up a plurality of experimental groups, because calculated amount and other factors, need the intelligent networking to cooperate, consequently, to sum up, need carry out relevant innovative design to equipment.
Disclosure of Invention
In order to solve the technical problems, the invention provides an intelligent networked automobile detection system and a method, wherein the intelligent networked automobile detection system comprises: the device comprises a main control module, a position module, a control module and a detection module;
the main control module comprises a signal display unit and a data processing unit, wherein the signal display unit is used for displaying images and signals, and the data processing unit is used for receiving and processing data transmission of the whole system and sending control commands to other equipment;
the position module comprises a three-dimensional construction module, a position marking module and a position tracking module, wherein the three-dimensional construction module is used for three-dimensional visual modeling of a detection field, the position marking module is used for line grading marks of a driving route in the driving field during automobile detection, and the position tracking module is used for three-dimensional space coordinate marks of each position node on a driving road;
the control module is applied to the tested vehicle, and comprises an automobile label module and a driving state control module, wherein the automobile label module is used for labeling the automobile on each driving road, and the driving state control module is used for controlling driving parameters of the automobile in the driving process;
the detection module, the detection module includes response module and monitoring module, the response module includes the module of shaking the sense, temperature sensing module and analysis module, the car that needs the detection is installed respectively to the module of shaking the sense and temperature sensing module, the module of shaking the sense is used for detecting the vibration intensity parameter of the lithium cell rather than being connected, temperature sensing module is used for detecting the temperature parameter and the temperature rate of change of the lithium cell rather than being connected, analysis module is used for the analysis processing of vibration parameter and temperature parameter information, monitoring module is used for detecting the control of vehicle in the driving and makes a video recording.
Preferably, the signal display unit includes the display screen, and the display screen setting is outside the car, and can supply outside measurement personnel to carry out the car outer regulation through the display data of display screen to the car, and the data processing unit is connected with the control system of every car, can regulate and control the various states of car.
Preferably, the three-dimensional construction module calls a three-dimensional platform visualization analysis function in the intelligent internet system according to the imported ground landmark database, analyzes a visible three-dimensional image of the whole field occupied by the automobile during the running process, and performs spatial three-dimensional display on the three-dimensional image through a display screen in the signal display unit.
Preferably, the position marking module comprises a driving route grading unit, the driving route grading unit combines the site data in the three-dimensional construction module, divides the driving site for automobile detection into a plurality of driving routes, grades and labels the driving roads of each driving route, grades the driving roads according to the bumping intensity standard of the driving roads, and marks the driving roads with the bumping intensity of 0 as Q 0 The road is marked as Q according to the sequence of the low to high of the bump intensity 1 、Q 2 、……、Q n Where n =0,1,2 \8230 \, i.e. in order of the bump strength, from low to high: q 1 <Q 2 <……<Q n 。
Preferably, the position tracking module combines a ground landmark three-dimensional model imported by the three-dimensional construction module, performs positioning identification on each position node on each driving road in the three-dimensional model, and also performs three-dimensional space coordinate marking on each position node, and marks the corresponding position node as (X) a ,Y a ,Z a ) Wherein a is a natural number.
Preferably, the automobile mark module is combined with the driving roads, the automobiles on the driving roads are marked according to the marks on each driving road, the marks correspond to the marks on the driving roads one by one, and the automobile is marked as H 0 、H 1 、H 2 、……、H i Wherein i =0,1,2 \8230;, and the reference number is H i Automobile and sign Q n The driving roads in one-to-one correspondence are taken as an experimental group, and the experimental group is labeled with a label S m Wherein m =0,1,2 \8230 \ 8230;, the driving parameters of the automobile in the driving process are regulated and controlled according to the requirements of detection personnel, so that the driving parameters of the detected automobile are in the same state.
Preferably, the monitoring module is used for monitoring and shooting corresponding vehicles in the running detection process, processing videos obtained after shooting and establishing folders, wherein each folder corresponds to a detected and processed vehicle and is named according to a vehicle label or an experimental group label, all the folders are collected and arranged into a record list, the record list is displayed on a display screen, and a detection person can expand the record list by clicking to display detection video records of the vehicle for the detection person, and the detection data processing and backtracking are assisted.
Preferably, the vibration sensing module comprises a vibration sensor, the vibration sensor is electrically connected with the lithium battery and is used for detecting the vibration intensity parameters of the lithium battery on the running roads with different labels, and the vibration intensity parameters are U-shaped r Denotes, wherein r =0,1,2 \8230;, U 0 Reference symbol H 0 The car is marked as Q 0 Is running roadThe vibration intensity parameter received during the upward driving is used as the reference data of the test, S 1 To S m For test set, U 1 Reference symbol H 1 The car is marked as Q 1 The temperature sensing module comprises a temperature sensor, the temperature sensor is electrically connected with the lithium battery and is used for detecting the temperature change parameters generated by the vibration of the lithium battery on the running road with different marks, and the temperature change parameters are T for the temperature change parameters g Shows that g =0,1,2 \8230;, T 0 Reference symbol H 0 The car is marked as Q 0 When driving on the driving road, real-time temperature variation parameters generated by vibration are used as the comparison data of the test, S 1 To S m For test group, in test group S 1 In, T 1 Reference symbol H 1 The car is marked as Q 1 The temperature variation parameter received while driving on the driving road.
Preferably, the analysis module extracts the automobile label corresponding to the detection, the vibration parameter and the temperature parameter information and generates an experiment record sheet, the experiment record sheet is sent to a detector, and the analysis module sends the vibration intensity parameter U r And a temperature variation parameter T g Corresponding to the tested vehicles and arranging the tested vehicles into a data table, wherein the analysis module is used for analyzing the vibration intensity parameter U r And a temperature variation parameter T g Respectively plotted as a table, in which the vibration intensity parameter U r As vertical axis, position node markers (X) recorded in the position tracking module a ,Y a ,Z a ) On the horizontal axis, in the temperature change table, the temperature change parameter T g As vertical axis, position node markers (X) recorded in the position tracking module a ,Y a ,Z a ) For the cross shaft, the data form is combined with the folder established by the monitoring module and displayed on the display screen, and the detection personnel can expand the data form by clicking so as to be convenient for the detection personnel to view the dataAnd (6) measuring and analyzing.
Preferably, the intelligent networked automobile detection method comprises the following steps:
s1: the control module marks the automobile and regulates and controls the driving state;
s2: the position module marks the driving route in a grading way and marks position nodes in the driving process of the automobile in real time;
s3: the detection module detects vibration parameters and temperature parameters of a running automobile, and performs imaging table processing after analysis processing;
s4: and uploading the processed data to the main control module, and displaying the processed data through a display screen.
The invention has the technical effects and advantages that: the classification of going of route in the place of going when will the automobile inspection through the position module, be convenient for realize the influence to the car under the different intensity road conditions of jolting, increase experiment sample volume, make the test data volume abundanter, improve the accuracy of surveing, through the module of feeling of vibration and the temperature sensing module in the detection module, detect the vibration intensity parameter and the temperature parameter of lithium cell, survey under different vibration intensity, to the influence of lithium cell temperature variation, realize the safety analysis to the lithium cell.
Drawings
Fig. 1 is a structural block diagram of an intelligent networked automobile detection system and method provided by the invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments. The embodiments of the present invention have been presented for purposes of illustration and description, and are not intended to be exhaustive or limited to the invention in the form disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiment was chosen and described in order to best explain the principles of the invention and the practical application, and to enable others of ordinary skill in the art to understand the invention for various embodiments with various modifications as are suited to the particular use contemplated.
Example 1
Referring to fig. 1, in this embodiment, an intelligent networked automobile detection system and method are provided, including: the device comprises a main control module, a position module, a control module and a detection module.
The main control module comprises a signal display unit and a data processing unit, the signal display unit comprises a display screen, the display screen is used for displaying images and signals, the display screen is arranged outside the automobile, external detection personnel can adjust the outside of the automobile through display data of the display screen, the data processing unit is used for receiving and processing data transmission of the whole system, and sends control commands to other equipment, the data processing unit is connected with a control system of each automobile, and various states of the automobile can be regulated and controlled.
The position module comprises a three-dimensional construction module, a position marking module and a position tracking module, the three-dimensional construction module calls a three-dimensional platform visual analysis function in the intelligent network system according to a lead-in ground landmark database, visual field three-dimensional image analysis is carried out on the whole site occupied by the automobile in the detection process, the three-dimensional image is displayed in a space three-dimensional mode through a display screen in a signal display unit, the position marking module comprises a driving route grading unit, the driving route grading unit is combined with site data in the three-dimensional construction module, a plurality of driving routes are divided from the site driven during automobile detection, driving roads of each part are graded and marked according to the bumping intensity standard of the driving roads, the driving roads with the bumping intensity of 0 are marked as Q 0 The road is marked as Q according to the sequence of the low to high of the bump intensity 1 、Q 2 、……、Q n Where n =0,1,2 \8230 \, i.e. in order of the bump strength, from low to high: q 1 <Q 2 <……<Q n Wherein, the judgment of the bumping intensity is set by a human or an external control system, the grading setting of the bumping intensity is carried out according to the bumping factor required by the vehicle in the running process, the bumping is arranged on the route of the running road and acts on the running vehicle, the position tracking module combines with the ground landmark three-dimensional model led in by the three-dimensional construction module and carries out the positioning identification on each position node on each running road in the three-dimensional model,each location node is also labeled with three-dimensional space coordinates, and the location tracking module labels the corresponding location node as (X) a ,Y a ,Z a ) The position coordinate aims to mark real-time position nodes corresponding to the lithium battery when the lithium battery heats due to bumping on a driving road, and the temperature change during heating and the position of the driving road are marked in a one-to-one correspondence mode.
The control module is applied to the tested vehicle, and comprises an automobile labeling module and a driving state control module, wherein the automobile labeling module is combined with the driving roads, the automobiles on the driving roads are labeled according to the labels on each driving road, the labels correspond to the labels on the driving roads one by one, and the automobiles are labeled as H 0 、H 1 、H 2 、……、H i Wherein i =0,1,2 \8230;, will be designated by the reference numeral H i Automobile and sign Q n The driving roads in one-to-one correspondence are taken as an experimental group, and the experimental group is labeled with a label S m Wherein m =0,1,2 \8230;, S 0 Reference symbol H 0 Automobile being marked as Q 0 The experimental group is used as a control group for the test, and then a test group is used, for example: s 1 Reference symbol H 1 The car is marked as Q 1 Is driven on the driving road, S 2 Reference symbol H 2 The car is marked as Q 2 The driving state control module is used for controlling driving parameters of the automobile in the driving process, and regulating and controlling the automobile to be detected according to the requirements of detection personnel, so that the driving parameters of the detected automobile are in the same state, for example: braking, acceleration and steering of the vehicle while driving.
The detection module comprises an induction module and a monitoring module, the monitoring module is used for monitoring and shooting corresponding vehicles in the running detection process, processing videos shot and establishing folders, each folder corresponds to a detected and processed automobile and is named according to the labels or experiment group labels of the automobiles, all the folders are collected and arranged into a record list, and the record list comprises a plurality of folders, a plurality of groups of folders and a plurality of groups of foldersThe record table shows on the display screen, the measurement personnel can expand through clicking, the purpose is to the detection video recording of measurement personnel show car, supplementary detection data processing and backtracking, the response module is including the sense of vibration module, temperature sensing module and analysis module, the sense of vibration module and temperature sensing module are installed respectively on the car that needs detected, the sense of vibration module is used for detecting the vibration intensity parameter of the lithium cell rather than being connected, the sense of vibration module is including the vibration inductor, vibration inductor and lithium cell electric connection, be used for detecting on the road of traveling under different grade, the vibration intensity parameter that the lithium cell received, this vibration intensity parameter is with U for the vibration intensity parameter, vibration intensity parameter is including vibration inductor, vibration inductor and lithium cell electric connection, a driving path, the vibration intensity parameter that the lithium cell received, this vibration intensity parameter is with U r Denotes the formula, wherein r =0,1,2 \8230;, U 0 Reference symbol H 0 The car is marked as Q 0 The vibration intensity parameter received while driving on the driving road, the vibration intensity parameter being used as the reference data of the test, S 1 To S m For test group, U 1 Reference symbol H 1 The car is marked as Q 1 The temperature sensing module comprises a temperature sensor, the temperature sensor is electrically connected with the lithium battery and is used for detecting the temperature change parameters generated by the vibration of the lithium battery on the running road with different marks, and the temperature change parameters are T for the temperature change parameters g Shows that g =0,1,2 \8230;, T 0 Reference symbol H 0 The car is marked as Q 0 When driving on the driving road, real-time temperature variation parameters generated by vibration are used as the comparison data of the test, S 1 To S m For test set, in test set S 1 In, T 1 Is denoted by the reference numeral H 1 The car is marked as Q 1 The analysis module extracts the automobile label corresponding to the detection, the vibration parameter and the temperature parameter information and generates an experiment record list, the experiment record is sent to a detector, and the analysis module sends the vibration intensity parameter U r And a temperature variation parameter T g Corresponding to the tested vehicle and arranging it into a data table, whichIn the method, the analysis module analyzes the vibration intensity parameter U r And a temperature variation parameter T g Respectively plotted into a table, in which the vibration intensity parameter U r As vertical axis, position node markers (X) recorded in the position tracking module a ,Y a ,Z a ) On the horizontal axis, in the temperature change table, the temperature change parameter T g As vertical axis, position node markers (X) recorded in the position tracking module a ,Y a ,Z a ) For the cross axis, the data table monitoring is combined with the folder established by the control module and displayed on the display screen, and the data table can be expanded by clicking by a detector, so that the detector can conveniently observe and analyze the data.
The operation mechanism is as follows:
s1: the control module marks the automobile as H 1 Regulating and controlling the driving state, regulating the driving state parameters of the automobile to be consistent, and discharging other interference factors;
s2: the position module grades the driving route with a label Q 1 And marking the position nodes in the driving process of the automobile in real time as (X) a ,Y a ,Z a );
S3: the detection module detects the vibration parameters and the temperature parameters of the running automobile and combines the position nodes (X) of the running automobile a ,Y a ,Z a ) Carrying out imaging table processing after analysis processing;
s4: and uploading the processed data to the main control module, and displaying the processed data through a display screen.
It is to be understood that the described embodiments are merely a few embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by one of ordinary skill in the art and related arts based on the embodiments of the present invention without any creative effort, shall fall within the protection scope of the present invention. Structures, devices, and methods of operation not specifically described or illustrated herein are not specifically illustrated or described, but are instead contemplated to be practiced in the art by those skilled in the art.
Claims (10)
1. The utility model provides an intelligence networking automobile detecting system which characterized in that, intelligence networking automobile detecting system includes: the device comprises a main control module, a position module, a control module and a detection module;
the main control module comprises a signal display unit and a data processing unit, wherein the signal display unit is used for displaying images and signals, and the data processing unit is used for receiving and processing data transmission of the whole system and sending control commands to other equipment;
the position module comprises a three-dimensional construction module, a position marking module and a position tracking module, wherein the three-dimensional construction module is used for three-dimensional visual modeling of a detection field, the position marking module is used for line grading marks of a driving route in the driving field during automobile detection, and the position tracking module is used for three-dimensional space coordinate marks of each position node on a driving road;
the control module is applied to the tested vehicle, and comprises an automobile label module and a driving state control module, wherein the automobile label module is used for labeling the automobile on each driving road, and the driving state control module is used for controlling driving parameters of the automobile in the driving process;
the detection module, the detection module includes response module and monitoring module, the response module includes the module of shaking the sense, temperature sensing module and analysis module, the car that needs the detection is installed respectively to the module of shaking the sense and temperature sensing module, the module of shaking the sense is used for detecting the vibration intensity parameter of the lithium cell rather than being connected, temperature sensing module is used for detecting the temperature parameter and the temperature rate of change of the lithium cell rather than being connected, analysis module is used for the analysis processing of vibration parameter and temperature parameter information, monitoring module is used for detecting the control of vehicle in the driving and makes a video recording.
2. The intelligent networked automobile detection system according to claim 1, wherein the signal display unit comprises a display screen, the display screen is arranged outside the automobile and can be used for external detection personnel to adjust the automobile through display data of the display screen, and the data processing unit is connected with a control system of each automobile and can regulate and control various states of the automobile.
3. The system according to claim 1, wherein the three-dimensional construction module invokes a three-dimensional platform visualization analysis function in the intelligent internet system according to the imported ground landmark database, performs visual field three-dimensional image analysis on the whole field occupied by the automobile during driving in the detection process, and performs spatial three-dimensional display on the three-dimensional image through a display screen in the signal display unit.
4. The system of claim 1, wherein the position marking module comprises a driving route grading unit, the driving route grading unit combines field data in the three-dimensional construction module to divide a driving field for automobile detection into a plurality of driving routes, grades driving roads of each driving route according to a bumping intensity standard of the driving roads, and marks the driving roads with a bumping intensity of 0 as Q 0 The road is marked as Q according to the sequence of the low to high of the bump intensity 1 、Q 2 、……、Q n Where n =0,1,2 \8230 \, i.e. in order of the bump strength, from low to high: q 1 <Q 2 <……<Q n 。
5. The system according to claim 1, wherein the position tracking module combines a ground landmark three-dimensional model imported by the three-dimensional construction module, performs positioning identification on each position node on each driving road in the three-dimensional model, and performs three-dimensional space coordinate marking on each position node, and the position tracking module marks the corresponding position node as (X) a ,Y a ,Z a ) Wherein a is a natural number.
6. The intelligent networked automobile detection system according to claim 1The system is characterized in that the automobile label module is combined with the driving roads, the automobiles on the driving roads are labeled according to the labels on each driving road, the labels correspond to the labels on the driving roads one by one, and the automobile is labeled as H 0 、H 1 、H 2 、……、H i Wherein i =0,1,2 \8230;, will be designated by the reference numeral H i Automobile and sign Q n The driving roads in one-to-one correspondence are taken as an experimental group, and the experimental group is labeled with a label S m Wherein m =0,1,2 \8230 \ 8230;, the driving parameters of the automobile in the driving process are regulated and controlled according to the requirements of detection personnel, so that the driving parameters of the detected automobile are in the same state.
7. The intelligent internet automobile detection system according to claim 1, wherein the monitoring module is configured to perform monitoring camera shooting on a corresponding vehicle during driving detection, process a video after camera shooting and establish folders, each folder corresponds to a detected and processed automobile and is named according to a label of the automobile or an experiment group label, all folders are collected and arranged into a record list, the record list is displayed on a display screen, and a detection person can expand the record list by clicking to show a detection video record of the automobile to the detection person, thereby assisting detection data processing and backtracking.
8. The system according to claim 1, wherein the vibration sensing module comprises a vibration sensor electrically connected to the lithium battery for detecting a vibration intensity parameter of the lithium battery on the road under different labels, and the vibration intensity parameter is U-shaped r Denotes the formula, wherein r =0,1,2 \8230;, U 0 Reference symbol H 0 The car is marked as Q 0 The vibration intensity parameter received while driving on the driving road, the vibration intensity parameter being used as the reference data of the test, S 1 To S m For test set, U 1 Is denoted by the reference numeral H 1 The car is marked as Q 1 The temperature sensing module comprises a temperature sensor, the temperature sensor is electrically connected with the lithium battery and is used for detecting the temperature change parameters generated by the vibration of the lithium battery on the running road with different marks, and the temperature change parameters are T for the temperature change parameters g Shows that g =0,1,2 \8230;, T 0 Reference symbol H 0 The car is marked as Q 0 When driving on the driving road, real-time temperature variation parameters generated by vibration are used as the comparison data of the test, S 1 To S m For test set, in test set S 1 In, T 1 Reference symbol H 1 The car is marked as Q 1 The temperature variation parameter received while driving on the driving road.
9. The system according to claim 1, wherein the analysis module extracts the vehicle identification number, vibration parameter and temperature parameter information corresponding to the detection and generates an experiment record sheet, the experiment record sheet is sent to the detection personnel, and the analysis module sends the vibration intensity parameter U r And a temperature variation parameter T g Corresponding to the tested vehicles and arranging the tested vehicles into a data table, wherein the analysis module is used for analyzing the vibration intensity parameter U r And a temperature variation parameter T g Respectively plotted as a table, in which the vibration intensity parameter U r As vertical axis, position node marker (X) recorded in position tracking module a ,Y a ,Z a ) On the horizontal axis, in the temperature change table, the temperature change parameter T g As vertical axis, position node marker (X) recorded in position tracking module a ,Y a ,Z a ) For the cross axis, the data table monitoring is combined with the folder established by the control module and displayed on the display screen, and the data table can be expanded by clicking by a detector, so that the detector can conveniently observe and analyze the data.
10. An intelligent networking automobile detection method applied to the intelligent networking automobile detection system of any one of claims 1-9, wherein the intelligent networking automobile detection method comprises the following steps:
s1: the control module marks the automobile and regulates and controls the driving state;
s2: the position module marks the driving route in a grading way and marks position nodes in the driving process of the automobile in real time;
s3: the detection module detects vibration parameters and temperature parameters of a running automobile, and performs imaging table processing after analysis processing;
s4: and uploading the processed data to the main control module, and displaying the processed data through a display screen.
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Publication number | Priority date | Publication date | Assignee | Title |
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CN115932609A (en) * | 2023-03-15 | 2023-04-07 | 中交一公局第五工程有限公司 | Test method, device and platform for intelligent networked automobile |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109270466A (en) * | 2017-07-16 | 2019-01-25 | 南京理工大学 | A kind of dynamic checkout unit and method of battery pack |
CN110853393A (en) * | 2019-11-26 | 2020-02-28 | 清华大学 | Intelligent network vehicle test field data acquisition and fusion method and system |
CN111127651A (en) * | 2020-03-31 | 2020-05-08 | 江苏广宇科技产业发展有限公司 | Automatic driving test development method and device based on high-precision visualization technology |
CN111562518A (en) * | 2020-07-14 | 2020-08-21 | 成都成保发展股份有限公司 | System and method for detecting stability of vehicle-mounted power supply of electric vehicle |
CN113466731A (en) * | 2021-07-29 | 2021-10-01 | 广东博力威科技股份有限公司 | Method, device, equipment and medium for detecting maximum duration of battery oscillation |
CN114750764A (en) * | 2022-05-17 | 2022-07-15 | 安徽大学江淮学院 | New energy automobile safety of going on-line intelligent monitoring early warning management system |
CN114754815A (en) * | 2022-04-13 | 2022-07-15 | 郭子琪 | Battery monitoring system for new energy automobile |
CN114976306A (en) * | 2022-03-29 | 2022-08-30 | 上海师范大学 | Intelligent echelon utilization method of power lithium battery based on vehicle-connected cloud |
-
2022
- 2022-09-15 CN CN202211118193.1A patent/CN115206002A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109270466A (en) * | 2017-07-16 | 2019-01-25 | 南京理工大学 | A kind of dynamic checkout unit and method of battery pack |
CN110853393A (en) * | 2019-11-26 | 2020-02-28 | 清华大学 | Intelligent network vehicle test field data acquisition and fusion method and system |
CN111127651A (en) * | 2020-03-31 | 2020-05-08 | 江苏广宇科技产业发展有限公司 | Automatic driving test development method and device based on high-precision visualization technology |
CN111562518A (en) * | 2020-07-14 | 2020-08-21 | 成都成保发展股份有限公司 | System and method for detecting stability of vehicle-mounted power supply of electric vehicle |
CN113466731A (en) * | 2021-07-29 | 2021-10-01 | 广东博力威科技股份有限公司 | Method, device, equipment and medium for detecting maximum duration of battery oscillation |
CN114976306A (en) * | 2022-03-29 | 2022-08-30 | 上海师范大学 | Intelligent echelon utilization method of power lithium battery based on vehicle-connected cloud |
CN114754815A (en) * | 2022-04-13 | 2022-07-15 | 郭子琪 | Battery monitoring system for new energy automobile |
CN114750764A (en) * | 2022-05-17 | 2022-07-15 | 安徽大学江淮学院 | New energy automobile safety of going on-line intelligent monitoring early warning management system |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115932609A (en) * | 2023-03-15 | 2023-04-07 | 中交一公局第五工程有限公司 | Test method, device and platform for intelligent networked automobile |
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