CN113865879A - Guide system for automobile detection - Google Patents
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Abstract
The invention discloses a guiding system for automobile detection, which comprises an automobile fault acquisition terminal, a fault analysis and evaluation module and a detection guiding terminal; the automobile fault acquisition terminal is connected with the fault analysis and evaluation terminal, and the fault analysis and evaluation terminal is respectively in communication connection with the detection guide terminal. The invention analyzes the vehicle parameter information in the running process of the vehicle to analyze the fault types of the vehicle, analyzes the maintenance emergency degree of the fault types of the vehicle, is convenient to guide the vehicle to maintain each fault, and can accurately predict the time point of the fault type when the fault type fails again according to the occurrence frequency and the occurrence time point of each fault type, thereby realizing early warning of the fault, providing the predicted time for maintenance personnel, further guiding the detection personnel to predict and maintain before the fault occurs, improving the safety in the running process of the vehicle and realizing the intelligent guidance of the vehicle detection.
Description
Technical Field
The invention belongs to the technical field of automobile maintenance, and relates to a guiding system for automobile detection.
Background
Vehicle detection, is an examination to determine the technical state or operational capability of a vehicle. When the automobile is used, parts of the automobile are gradually worn, corroded, deformed and aged along with the prolonging of the service time (or the increase of the driving mileage) and lubricating oil is deteriorated, so that the clearance of a matching pair is enlarged, loose movement, vibration, sounding, air leakage, water leakage, oil leakage and the like are caused, the technical performance of the automobile is reduced, and the core of the automobile maintenance operation is to maintain the integrity of the technical condition of the automobile.
Automobile detection is generally used for the automobile maintenance in-process, the inspection personnel overhaul the vehicle that needs maintenance, can't predict the problem that the maintenance back car may exist to the detection of vehicle maintenance in-process car, especially when the car does not reach the maintenance time, the car breaks down, if not timely maintenance, can cause car itself to be impaired, in case the trouble is serious can influence car owner and pedestrian's safety even, prior art can't carry out the analysis to the vehicle parameter of vehicle driving process, whether in order to judge the vehicle has the trouble, when the vehicle trouble, the inspection personnel only rely on work experience to detect, can't realize because of the different guide inspection personnel of fault type carry out troubleshooting to the vehicle, the intellectuality of troubleshooting has been reduced, in addition, because of the problem that can't guide the trouble production wastes inspection personnel's repair time.
Disclosure of Invention
The invention aims to provide a guiding system for automobile detection, which analyzes vehicle parameters in the automobile running process to obtain the fault types of vehicles so as to guide detection personnel to troubleshoot the automobile detection faults according to the fault types, can predict the time of the next fault occurrence, realizes the intelligent guiding of the automobile fault detection, and has the intelligent characteristic.
The purpose of the invention can be realized by the following technical scheme:
a guiding system for automobile detection comprises an automobile fault acquisition terminal, a fault analysis and evaluation module and a detection guiding terminal;
the automobile fault acquisition terminal is connected with the fault analysis and evaluation terminal, and the fault analysis and evaluation terminal is respectively in communication connection with the detection guide terminal; the automobile fault acquisition terminal is used for acquiring vehicle parameter information in the automobile running process in real time, preprocessing the acquired vehicle parameter information and sending the preprocessed vehicle parameter information to the fault analysis and evaluation module;
the fault analysis and evaluation module is used for receiving the preprocessed vehicle parameter information sent by the automobile fault acquisition terminal, respectively extracting each vehicle parameter in the vehicle parameter information, comparing the extracted vehicle parameter with a set standard vehicle parameter in a non-fault state of the vehicle to screen out an abnormal vehicle parameter, extracting the abnormal vehicle parameter to perform fault analysis, judging a fault type and a maintenance emergency degree corresponding to the fault in the running process of the vehicle, sending the fault type corresponding to the vehicle and the maintenance emergency degree corresponding to each fault type to the detection guide terminal, and sending the fault type corresponding to the vehicle to the detection feedback terminal;
the detection guiding terminal is used for receiving the fault types corresponding to the vehicles and the maintenance emergency degrees corresponding to the fault types sent by the fault analysis and evaluation module, screening out the fault problem points corresponding to the fault types with the highest priority levels corresponding to the maintenance emergency degrees, and guiding the maintainers to maintain the fault problem points corresponding to the fault types until the fault types are eliminated.
Furthermore, the automobile fault acquisition terminal comprises a noise volume acquisition unit, a vehicle speed acquisition unit, an oil consumption acquisition unit, a temperature acquisition unit, a shake amount acquisition unit and a preprocessing unit, wherein the preprocessing unit is respectively connected with the noise volume acquisition unit, the vehicle speed acquisition unit, the oil consumption acquisition unit, the temperature acquisition unit and the shake amount acquisition unit;
the noise volume acquisition unit is used for acquiring the noise volume in the driving process of the vehicle in real time;
the vehicle speed acquisition unit adopts a vehicle speed sensor and is used for acquiring the vehicle speed in the driving process of the vehicle in real time;
the oil consumption acquisition unit adopts a liquid level sensor and is used for acquiring the liquid level height in the oil tank in real time;
the temperature acquisition unit adopts a temperature sensor, is arranged on the surface of the engine and is used for acquiring the temperature of the surface of the engine in real time;
the shaking amount acquisition unit is used for acquiring the frequency of the left-right swing of the vehicle body larger than the set swing amplitude in the running process of the vehicle in real time;
the preprocessing unit is used for extracting the noise volume collected by the noise volume collecting unit, filtering the noise volume, extracting noise in the noise volume, extracting the liquid level height in the oil tank collected by the oil consumption collecting unit, analyzing the oil consumption per fixed kilometer, extracting the surface temperature of the engine sent by the temperature collecting unit, analyzing the rising rate of the surface temperature of the engine, extracting the left-right swinging frequency of the vehicle body sent by the jitter quantity collecting unit, and analyzing the swinging frequency of the vehicle body in unit time.
Further, the fault analysis and evaluation module constructs fault types corresponding to the abnormal vehicle parameters in advance, and analyzes the acquired parameter information of the vehicles, wherein the specific analysis process comprises the following steps:
step 1, comparing each acquired vehicle parameter information of the vehicle with each standard vehicle parameter of the vehicle in a non-fault state when the vehicle leaves a factory;
step 2, screening out abnormal vehicle parameters, and comparing the abnormal vehicle parameters with standard vehicle parameters corresponding to the vehicle parameters to obtain parameter variation;
step 3, extracting the speed v of the vehicle under the abnormal vehicle parameters;
step 4, extracting the maximum value bi of each vehicle parameter information allowed by the vehicle speed in the step 3maxAnd extracting a standard parameter variation amount delta beta i corresponding to the maximum value of each vehicle parameter informationStandard of merit＝bimax-bimin。
Further, the analysis process of the fault analysis and evaluation module further comprises a step 5 and a step 6;
step 5, screening out the parameter variation amount corresponding to the abnormal vehicle parameter information in the step 2, comparing the parameter variation amount corresponding to each abnormal vehicle parameter information with the standard parameter variation amount corresponding to the vehicle parameter information respectively, and screening out the vehicle parameter information larger than the standard parameter variation amount;
and 6, extracting the parameter variation rate corresponding to the vehicle parameter information larger than the standard parameter variation amount in the step 5.
Further, the fault analysis and evaluation module performs fault analysis on abnormal vehicle parameter information, and the fault analysis and evaluation module comprises the following steps:
s1, sequentially carrying out fault priority sequencing on the parameter information of the abnormal vehicles according to the sequence of the parameter change rate from large to small;
step S2, sequentially screening fault types corresponding to abnormal vehicle parameter information with high fault priority order from a database, modeling in advance in the database, and constructing the abnormal vehicle parameter information corresponding to each fault type and the overhaul emergency degree corresponding to each fault type;
and step S3, extracting the maintenance emergency degree corresponding to the vehicle fault type, and feeding back the maintenance emergency degree corresponding to the vehicle fault type to the detection guide terminal.
The guiding system further comprises a detection feedback terminal, the detection feedback terminal is connected with the fault analysis and evaluation module, the detection feedback terminal is used for receiving fault types sent by the fault analysis and evaluation module, screening out the occurrence frequency of each fault type and the time point of the fault occurrence, meanwhile, obtaining the fault types eliminated by the detection feedback terminal for rechecking, judging whether the fault continues to exist in the rechecking process, and feeding back the rechecking result to the mobile phone terminal of the vehicle owner.
Furthermore, the guidance system further comprises a detection, analysis, guidance and replacement module, wherein the detection, analysis, guidance and replacement module is used for extracting the frequency of occurrence of each fault type screened by the detection feedback terminal and the time point of occurrence of the fault, analyzing and obtaining the frequency of occurrence of each fault in a fixed time period, sending the frequency to the mobile phone terminal of the vehicle owner, extracting the time interval of continuous occurrence of the fault of the same fault type, and guiding the maintainer to replace the vehicle parts which are easy to fail by processing the time interval.
Further, the detection, analysis, guidance and replacement module analyzes the time point when the same fault type occurs to predict the time when the same fault type occurs again, and the specific steps are as follows:
step H1, extracting the time point of the same fault type;
step H2, counting a time interval Tg between the occurrence of the same fault type, where Tg is a time interval between the occurrence of the g-th fault and the occurrence of the g-1-th fault of the fault type, and Tg is T ' g-T ' (g-1), and T ' g is a time point corresponding to the occurrence of the g-th fault of the fault type;
step H3, count the time reduction rate
Step H4, calculating the time tt of the fault according to the time shortening rate in step H3, realizing the prediction of the fault, and predicting the time tt of the fault
T' g is the time point corresponding to the g-th fault of the fault type, and Tg is the time interval between the g-th fault and the g-1 st fault of the fault type.
The invention has the beneficial effects that:
the guiding system for automobile detection provided by the invention analyzes the vehicle parameter information in the running process of the automobile to analyze the fault types of the automobile and analyzes the maintenance emergency degree of the fault types of the automobile, so that the automobile is conveniently guided to repair each fault, and the intelligence in the fault detection and maintenance process is improved.
According to the invention, the priority order corresponding to each fault type is sequentially screened out through the detection guide terminal, the maintenance personnel is guided to sequentially maintain the faults according to the priority order until the faults are eliminated, and the faults are rechecked by adopting the detection feedback terminal, so that double stability in the fault detection process is realized, and the possibility of existence of the faults is reduced.
The invention analyzes the occurrence frequency and the occurrence time point of each fault type through the detection analysis guide replacement module, is convenient to accurately predict the time point of the fault type when the fault type fails again, realizes early warning of the fault, is convenient to provide prediction time for maintainers, further guides the maintainers to predict and overhaul before the fault occurs, improves the safety of the automobile in the driving process, and realizes intelligent guide of automobile detection.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of a guidance system for vehicle detection according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
As shown in fig. 1, a guidance system for automobile detection includes an automobile fault collection terminal, a fault analysis and evaluation module, a detection guidance terminal, and a detection feedback terminal;
the automobile fault acquisition terminal is connected with the fault analysis and evaluation terminal, the fault analysis and evaluation terminal is respectively in communication connection with the detection guide terminal and the detection feedback terminal, and the detection guide terminal is connected with the detection feedback terminal.
The automobile fault acquisition terminal is used for acquiring vehicle parameter information in the automobile running process in real time, preprocessing the acquired vehicle parameter information and sending the preprocessed vehicle parameter information to the fault analysis and evaluation module.
The automobile fault acquisition terminal comprises a noise volume acquisition unit, a vehicle speed acquisition unit, an oil consumption acquisition unit, a temperature acquisition unit, a jitter amount acquisition unit and a preprocessing unit, wherein the preprocessing unit is respectively connected with the noise volume acquisition unit, the vehicle speed acquisition unit, the oil consumption acquisition unit, the temperature acquisition unit and the jitter amount acquisition unit.
The noise volume acquisition unit is used for acquiring the noise volume in the driving process of the vehicle in real time;
the vehicle speed acquisition unit adopts a vehicle speed sensor and is used for acquiring the vehicle speed in the driving process of the vehicle in real time;
the oil consumption acquisition unit adopts a liquid level sensor and is used for acquiring the liquid level height in the oil tank in real time;
the temperature acquisition unit adopts a temperature sensor, is arranged on the surface of the engine and is used for acquiring the temperature of the surface of the engine in real time;
the shaking amount acquisition unit is used for acquiring the frequency of the left-right swing of the vehicle body larger than the set swing amplitude in the running process of the vehicle in real time.
The preprocessing unit is used for extracting the noise volume collected by the noise volume collecting unit, filtering the noise volume, extracting noise in the noise volume, extracting the liquid level height in the oil tank collected by the oil consumption collecting unit, analyzing the oil consumption per fixed kilometer, extracting the surface temperature of the engine sent by the temperature collecting unit, analyzing the rising rate of the surface temperature of the engine, extracting the left-right swinging frequency of the vehicle body sent by the jitter quantity collecting unit, and analyzing the swinging frequency of the vehicle body in unit time.
The processed vehicle parameter information comprises noise, vehicle speed, oil consumption, engine temperature, vehicle shaking frequency in unit time, execution state corresponding to the vehicle in a shaking state and the like in the vehicle running process, the vehicle parameter information forms a vehicle parameter information set A (a1, a2, ai,.., an) according to the sequence of each vehicle parameter combination, n represents the number of vehicle parameter elements formed by the set, and ai is a numerical value corresponding to the ith vehicle parameter.
The vehicle shaking state includes shaking of the vehicle when the clutch is released, shaking of the vehicle when the vehicle is at a low speed or just started, shaking when the vehicle is at a high speed, and the like.
Fault analysisThe evaluation module is used for receiving the preprocessed vehicle parameter information sent by the vehicle fault acquisition terminal, respectively extracting each vehicle parameter ai in the vehicle parameter information, and comparing each extracted vehicle parameter with a set standard vehicle parameter B (B1, B2.., bi.,. ang., bn) in a non-fault state of the vehicle, wherein each standard vehicle parameter of the vehicle in the non-fault state is a numerical range, for example, bi belongs to bimin-bimaxAnd meanwhile, screening out abnormal vehicle parameters, extracting the abnormal vehicle parameters to perform fault analysis, judging the fault type and the overhaul emergency degree corresponding to the fault in the running process of the vehicle, sending the fault type corresponding to the vehicle and the overhaul emergency degree corresponding to each fault type to the detection guide terminal, and sending the fault type corresponding to the vehicle to the detection feedback terminal.
The fault analysis and evaluation module is used for constructing fault types corresponding to abnormal vehicle parameters in advance, and analyzing the acquired vehicle parameter information, wherein the specific analysis process comprises the following steps:
step 1, comparing each piece of acquired vehicle parameter information of the vehicle with each standard vehicle parameter B (B1, B2, B, bi, B, bn) in a non-fault state when the vehicle leaves a factory, wherein bi is a numerical range corresponding to the ith standard vehicle parameter;
step 2, screening out abnormal vehicle parameters Ci, comparing the abnormal vehicle parameters Vi with standard vehicle parameters corresponding to the vehicle parameters to obtain parameter variation
biminAnd bimaxRespectively expressed as the minimum value and the maximum value corresponding to the ith standard vehicle parameter.
For example, the abnormal vehicle parameter is noise in the vehicle running process, the noise in the vehicle running process is compared with the standard noise volume average value corresponding to the vehicle of the model number to obtain a noise variation amount, and the noise variation amount is equal to the difference value between the noise volume corresponding to the acquired abnormal vehicle parameter information and the maximum standard noise volume;
if the abnormal vehicle parameter information is the engine temperature in the vehicle running process, analyzing the engine temperature of the vehicle and the highest engine temperature of the type of vehicle in a non-fault state to obtain the engine temperature fluctuation quantity, wherein the engine temperature fluctuation quantity is equal to the difference value between the acquired engine temperature in the vehicle running process and the highest engine temperature in the non-fault state;
similarly, the fuel consumption of the automobile is the same as the processing mode of the engine temperature and the noise in the running process of the automobile, and the fuel consumption variation of the automobile can be obtained.
And if the abnormal vehicle parameter information is the shaking frequency of the vehicle in unit time, analyzing the shaking frequency of the vehicle in unit time in the running process of the vehicle and the shaking frequency of the vehicle in unit time under the non-fault state of the vehicle to obtain the shaking variation quantity in the running process of the vehicle, wherein the shaking variation quantity is equal to the difference value between the collected shaking frequency of the vehicle in unit time and the shaking frequency of the vehicle in unit time under the non-fault state.
Step 3, extracting the speed v of the vehicle under the abnormal vehicle parameters;
step 4, extracting the maximum value bi of each vehicle parameter information allowed by the vehicle speed in the step 3maxAnd extracting a standard parameter variation amount delta beta i corresponding to the maximum value of each vehicle parameter informationStandard of merit＝bimax-bimin；
Step 5, screening out the parameter variation amount corresponding to the abnormal vehicle parameter information in the step 2, comparing the parameter variation amount corresponding to each abnormal vehicle parameter information with the standard parameter variation amount corresponding to the vehicle parameter information respectively, and screening out the vehicle parameter information larger than the standard parameter variation amount;
step 6, extracting the parameter variation rate corresponding to the vehicle parameter information larger than the standard parameter variation in the step 5
The larger the parameter variation rate is, the higher the possibility that the vehicle failure corresponding to the abnormal vehicle parameter is indicated to be。
And the fault analysis and evaluation module carries out fault analysis on abnormal vehicle parameter information, and the fault analysis and evaluation module comprises the following steps:
step S1, sequentially carrying out fault priority sequencing on the parameter information of the abnormal vehicles according to the sequence of the parameter change rates from large to small, wherein the parameter change rates M1, M2, a.
Step S2, sequentially screening fault types corresponding to abnormal vehicle parameter information with high fault priority order from a database, modeling in advance in the database, and constructing the abnormal vehicle parameter information corresponding to each fault type and the overhaul emergency degree corresponding to each fault type;
and the inspection emergency degree priority level corresponding to the fault type with the larger danger degree caused by the continuous running of the vehicle is higher.
And step S3, extracting the maintenance emergency degree corresponding to the vehicle fault type, and feeding back the maintenance emergency degree corresponding to the vehicle fault type to the detection guide terminal.
The vehicle parameter information is analyzed and processed through the fault analysis and evaluation module, abnormal vehicle parameter information is screened out, fault types corresponding to the abnormal vehicle parameter information are screened out according to the abnormal vehicle parameter information, then maintenance emergency degree analysis is carried out on the fault types, priority processing is carried out on vehicle faults with large maintenance emergency degree in sequence, priority processing sequence in the automobile fault detection process is achieved, and convenience is brought to later-stage emergency fault maintenance processing conducted by guiding detection personnel according to the priority sequence.
The detection guiding terminal is used for receiving the fault types corresponding to the vehicles and the maintenance emergency degrees corresponding to the fault types sent by the fault analysis and evaluation module, screening out the fault problem points corresponding to the fault types with the highest priority levels corresponding to the maintenance emergency degrees, and guiding the maintainers to maintain the fault problem points corresponding to the fault types until the fault types are eliminated.
The detection feedback terminal is used for receiving the fault types sent by the fault analysis and evaluation module, screening the occurrence times of the fault types and the time points of the faults, meanwhile, obtaining the fault types eliminated by the detection guide terminal for rechecking, judging whether the faults continue to exist in the rechecking process, and feeding back the rechecking result to the mobile phone terminal of the vehicle owner.
Example 2
This guiding system that automobile inspection detected, still include detection analysis guide replacement module, a time point for drawing the number of times that each trouble kind that detects feedback terminal screening appears and trouble takes place, the analysis obtains the frequency that each trouble appears in the fixed time quantum and sends to car owner's cell-phone terminal, draw the time interval that same trouble kind breaks down in succession simultaneously, and through handling the time interval, guide the maintainer to change the vehicle spare part that easily breaks down, in order to guarantee the security of vehicle driving in-process, be convenient for guide the maintainer in time to change the spare part that causes the vehicle trouble.
The detection, analysis and guidance replacing module analyzes the time points of the same fault type to predict the time when the same fault occurs again, and the method specifically comprises the following steps:
step H1, extracting the time point of the same fault type;
step H2, counting a time interval Tg between the occurrence of the same fault type, where Tg is a time interval between the occurrence of the g-th fault and the occurrence of the g-1-th fault of the fault type, and Tg is T ' g-T ' (g-1), and T ' g is a time point corresponding to the occurrence of the g-th fault of the fault type;
step H3, count the time reduction rate
Step H4, calculating the time tt of the fault according to the time shortening rate in step H3, realizing the prediction of the fault, and predicting the time tt of the fault
T' g is the time point corresponding to the g-th fault of the fault type, and Tg is the time interval between the g-th fault and the g-1 st fault of the fault type.
The detection analysis guide replacement module is adopted to analyze the time point and the frequency of the same fault type, the interval time of each fault under each fault type can be accurately judged, the time point of the same type of fault is predicted again, the predicted time is conveniently provided for the maintainers, then the maintainers are guided to predict and overhaul before the fault occurs, the safety of the automobile driving process is improved, and the intelligent guide of the automobile detection is realized.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (8)
1. A guidance system for automobile inspection, characterized in that: the system comprises an automobile fault acquisition terminal, a fault analysis and evaluation module and a detection guide terminal;
the automobile fault acquisition terminal is connected with the fault analysis and evaluation terminal, and the fault analysis and evaluation terminal is respectively in communication connection with the detection guide terminal; the automobile fault acquisition terminal is used for acquiring vehicle parameter information in the automobile running process in real time, preprocessing the acquired vehicle parameter information and sending the preprocessed vehicle parameter information to the fault analysis and evaluation module;
the fault analysis and evaluation module is used for receiving the preprocessed vehicle parameter information sent by the automobile fault acquisition terminal, respectively extracting each vehicle parameter in the vehicle parameter information, comparing the extracted vehicle parameter with a set standard vehicle parameter in a non-fault state of the vehicle to screen out an abnormal vehicle parameter, extracting the abnormal vehicle parameter to perform fault analysis, judging a fault type and a maintenance emergency degree corresponding to the fault in the running process of the vehicle, sending the fault type corresponding to the vehicle and the maintenance emergency degree corresponding to each fault type to the detection guide terminal, and sending the fault type corresponding to the vehicle to the detection feedback terminal;
the detection guiding terminal is used for receiving the fault types corresponding to the vehicles and the maintenance emergency degrees corresponding to the fault types sent by the fault analysis and evaluation module, screening out the fault problem points corresponding to the fault types with the highest priority levels corresponding to the maintenance emergency degrees, and guiding the maintainers to maintain the fault problem points corresponding to the fault types until the fault types are eliminated.
2. The guiding system for automobile detection according to claim 1, characterized in that: the automobile fault acquisition terminal comprises a noise volume acquisition unit, a vehicle speed acquisition unit, an oil consumption acquisition unit, a temperature acquisition unit, a jitter amount acquisition unit and a preprocessing unit, wherein the preprocessing unit is respectively connected with the noise volume acquisition unit, the vehicle speed acquisition unit, the oil consumption acquisition unit, the temperature acquisition unit and the jitter amount acquisition unit;
the noise volume acquisition unit is used for acquiring the noise volume in the driving process of the vehicle in real time;
the vehicle speed acquisition unit adopts a vehicle speed sensor and is used for acquiring the vehicle speed in the driving process of the vehicle in real time;
the oil consumption acquisition unit adopts a liquid level sensor and is used for acquiring the liquid level height in the oil tank in real time;
the temperature acquisition unit adopts a temperature sensor, is arranged on the surface of the engine and is used for acquiring the temperature of the surface of the engine in real time;
the shaking amount acquisition unit is used for acquiring the frequency of the left-right swing of the vehicle body larger than the set swing amplitude in the running process of the vehicle in real time;
the preprocessing unit is used for extracting the noise volume collected by the noise volume collecting unit, filtering the noise volume, extracting noise in the noise volume, extracting the liquid level height in the oil tank collected by the oil consumption collecting unit, analyzing the oil consumption per fixed kilometer, extracting the surface temperature of the engine sent by the temperature collecting unit, analyzing the rising rate of the surface temperature of the engine, extracting the left-right swinging frequency of the vehicle body sent by the jitter quantity collecting unit, and analyzing the swinging frequency of the vehicle body in unit time.
3. The guiding system for automobile detection according to claim 1, characterized in that: the fault analysis and evaluation module is used for constructing fault types corresponding to abnormal vehicle parameters in advance, and analyzing the acquired vehicle parameter information, wherein the specific analysis process comprises the following steps:
step 1, comparing each acquired vehicle parameter information of the vehicle with each standard vehicle parameter of the vehicle in a non-fault state when the vehicle leaves a factory;
step 2, screening out abnormal vehicle parameters, and comparing the abnormal vehicle parameters with standard vehicle parameters corresponding to the vehicle parameters to obtain parameter variation;
step 3, extracting the speed v of the vehicle under the abnormal vehicle parameters;
step 4, extracting the maximum value bi of each vehicle parameter information allowed by the vehicle speed in the step 3maxAnd extracting a standard parameter variation amount delta beta i corresponding to the maximum value of each vehicle parameter informationStandard of merit＝bimax-bimin。
4. The guiding system for automobile detection according to claim 3, characterized in that: the analysis process of the fault analysis and evaluation module further comprises a step 5 and a step 6;
step 5, screening out the parameter variation amount corresponding to the abnormal vehicle parameter information in the step 2, comparing the parameter variation amount corresponding to each abnormal vehicle parameter information with the standard parameter variation amount corresponding to the vehicle parameter information respectively, and screening out the vehicle parameter information larger than the standard parameter variation amount;
and 6, extracting the parameter variation rate corresponding to the vehicle parameter information larger than the standard parameter variation amount in the step 5.
5. The guiding system for automobile detection according to claim 4, characterized in that: the fault analysis and evaluation module carries out fault analysis on abnormal vehicle parameter information and comprises the following steps:
s1, sequentially carrying out fault priority sequencing on the parameter information of the abnormal vehicles according to the sequence of the parameter change rate from large to small;
step S2, sequentially screening fault types corresponding to abnormal vehicle parameter information with high fault priority order from a database, modeling in advance in the database, and constructing the abnormal vehicle parameter information corresponding to each fault type and the overhaul emergency degree corresponding to each fault type;
and step S3, extracting the maintenance emergency degree corresponding to the vehicle fault type, and feeding back the maintenance emergency degree corresponding to the vehicle fault type to the detection guide terminal.
6. The guiding system for automobile detection according to claim 5, characterized in that: the guiding system further comprises a detection feedback terminal, the detection feedback terminal is connected with the fault analysis and evaluation module, the detection feedback terminal is used for receiving fault types sent by the fault analysis and evaluation module, screening the occurrence frequency of each fault type and the time point of the fault occurrence, meanwhile, obtaining the fault types eliminated by the detection guiding terminal for rechecking, judging whether the fault continues to exist in the rechecking process, and feeding back the rechecking result to the mobile phone terminal of the vehicle owner.
7. The guiding system for automobile detection according to claim 6, characterized in that: the guiding system further comprises a detection, analysis, guidance and replacement module, wherein the detection, analysis, guidance and replacement module is used for extracting the times of occurrence of various fault types screened by the detection feedback terminal and the time points of the occurrence of the faults, analyzing and obtaining the frequency of occurrence of the faults in a fixed time period and sending the frequency to the mobile phone terminal of the vehicle owner, extracting the time interval of continuous occurrence of the same fault type, and guiding a maintainer to replace vehicle parts which are prone to faults by processing the time interval.
8. The guiding system for automobile detection according to claim 7, characterized in that: the detection, analysis and guidance replacing module analyzes the time points of the same fault type to predict the time when the same fault occurs again, and the method specifically comprises the following steps:
step H1, extracting the time point of the same fault type;
step H2, counting a time interval Tg between the occurrence of the same fault type, where Tg is a time interval between the occurrence of the g-th fault and the occurrence of the g-1-th fault of the fault type, and Tg is T ' g-T ' (g-1), and T ' g is a time point corresponding to the occurrence of the g-th fault of the fault type;
step H3, count the time reduction rate
Step H4, calculating the time tt of the fault according to the time shortening rate in step H3, realizing the prediction of the fault, and predicting the time tt of the fault
T' g is the time point corresponding to the g-th fault of the fault type, and Tg is the time interval between the g-th fault and the g-1 st fault of the fault type.
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