CN102680244A - Automobile detection system and method - Google Patents
Automobile detection system and method Download PDFInfo
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- CN102680244A CN102680244A CN2012101198078A CN201210119807A CN102680244A CN 102680244 A CN102680244 A CN 102680244A CN 2012101198078 A CN2012101198078 A CN 2012101198078A CN 201210119807 A CN201210119807 A CN 201210119807A CN 102680244 A CN102680244 A CN 102680244A
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Abstract
The invention discloses an automobile detection system and method, relating to the technical field of automobile detection. The system comprises a detection front end, a detection host, and a server, wherein the detection front end is used for detecting a detected vehicle; the detection host is used for receiving the detection parameter setting of a legal user, transmitting a detection command to the detection front end, receiving the detection data, assessing damage, generating a detection report, and displaying, storing and transmitting the detection data and the detection report to the server; and the server is used for verifying the legality of the user, assessing the damage of the detected vehicle, and storing the legal user information, the detection data and the detection report. Through the adoption of the system and the method, provided by the invention, a plurality of detection hosts can access the server to acquire the corresponding assessment information of secondhand cars for trading, so that the assessment precision of the secondhand cars is improved for trading, and a trading service for secondhand cars is provided fast and conveniently; and furthermore, a more convenient detection means can be provided, the detection flow is specified, and the detection efficiency for the secondhand cars is greatly increased.
Description
Technical field
The present invention relates to the vehicle testing technique field, relate in particular to a kind of automobile detection system and method.
Background technology
In recent years; The consumer progressively improves the degree of recognition of used car; The develop rapidly of used car market can recognize that in order to ensure the consumer information such as the technology status, price, distance travelled, reparation experience of used car need carry out used car and detect in the used car process of exchange.Used car detects (vehicle detection), is for confirming the inspection of technical condition of vehicle or ability to work.
Traditional used car checkout equipment problem bulky, inefficiency exists always, is difficult to good support is made in used car transaction.
Summary of the invention
The technical matters that (one) will solve
The technical matters that the present invention will solve is: a kind of portable, automobile detection system and method that detection efficiency is high are provided.
(2) technical scheme
For addressing the above problem, the invention provides a kind of automobile detection system, comprising: detect front end, be used for seized vehicle being detected, and will detect data and be sent to the detection main frame according to sense command; Detect main frame; Be used to receive the detected parameters setting of validated user; Be provided with to said detection front end transmission sense command according to said detected parameters, receive said detection data, carry out assessment of impairments according to said detection data; Generate examining report according to said detection data and assessment of impairments information, show, storage and said detection data and examining report are sent to server; Server is used to verify user's legitimacy, receives said examining report and detects data, carries out the assessment of impairments of seized vehicle according to said detection data, storage validated user information, detects data and examining report.
Preferably, said detection front end comprises: detecting module is used to gather said seized vehicle coatings thickness; First communication module is used for said detection data are sent to said detection main frame.
Preferably, said detection front end also comprises: image pickup module is used to gather the picture and/or the image of said seized vehicle.
Preferably, said detection main frame comprises: load module is used to receive user profile and detected parameters setting; Processing module is used for according to said detected parameters the generation sense command being set, and generates examining report according to assessment of impairments information and detection data; Output module is used to show said detected parameters setting, assessment of impairments information, detects data and examining report; Memory module is used to store said detection data, assessment of impairments information and examining report; Second communication module is used for said sense command is sent to said detection front end; Third communication module is used for said detection data and examining report are sent to said server.
Preferably, said first communication module and said second communication module are bluetooth.
Preferably, said third communication unit is sent to said server through the 3G communication with said detection data and examining report.
Preferably, said detection main frame also comprises four-way letter module, is used for communicating with the car running computer of seized vehicle.
Preferably, said detection main frame has general unique identifier UUID, and said server also stores every pairing UUID of detection main frame.
The present invention also provides a kind of Automobile Detection method based on said system, and the method comprising the steps of:
S1. detect main frame seized vehicle is carried out identity registration, the relevant information of gathering seized vehicle according to the detected parameters setting successively.
S2. detect main frame and gather the parameter to be detected of seized vehicle and/or use the detection front end that seized vehicle is detected, information that collects and said detection data are sent to server respectively;
S3. detect main frame and carry out the assessment of impairments information that the server of assessment of impairments or reception sends according to detecting data; Relevant information, detection data and assessment of impairments information in conjunction with seized vehicle generate the examining report corresponding with this seized testing vehicle register, and the examining report that generates is sent to server.
Preferably, said detected parameters is provided for pointing out parameter to be detected, sets detection order and type of impairment.
(3) beneficial effect
Use system and method for the present invention; How a plurality of detection main frames all can be through server of visit; Obtain corresponding pass-along deal automobile appreciation information, improved the assessment accuracy of used car transaction greatly, the used car trading service platform is provided fast and easily; In addition, detect the detection means that can provide more portable of selecting for use of main frame, and testing process is made standard, and the earth has improved the detection efficiency that used car detects.
Description of drawings
Fig. 1 is the automobile detection system structural representation according to one embodiment of the present invention;
Fig. 2 is the process flow diagram according to the Automobile Detection method of one embodiment of the present invention;
Fig. 3 is the detail flowchart according to the Automobile Detection method of one embodiment of the present invention;
Fig. 4 is the method for attachment process flow diagram according to detection main frame in the Automobile Detection method of one embodiment of the present invention and detection front end.
Embodiment
Automobile detection system and method that the present invention proposes specify as follows in conjunction with accompanying drawing and embodiment.
As shown in Figure 1, the automobile detection system of accordinging to one embodiment of the present invention comprises: detect front end, detect main frame and server.
Detect front end and be used for seized vehicle being detected, and will detect data and be sent to the detection main frame according to sense command.The detection front end (refers to the used car appraiser especially by the staff of each check point; But be not limited thereto) hand-held; (this sense command is provided with generation according to detected parameters according to the sense command that detects the main frame transmission; Detected parameters is provided for pointing out the parameter that needs detection, has set the detection order of acquiescence and the type of impairment option that is used for assessment of impairments, and prompting detects each detected parameters of automobile successively according to the detection order) seized vehicle is detected; Collect to detect data, the mode through radio communication will detect data and send to the detection main frame.In this embodiment, detect front end and further comprise: detecting module, be used to gather seized vehicle coatings thickness, be preferably the sensor probe of detectable coating thickness; First communication module is used for the detection data are sent to the detection main frame, is preferably bluetooth; Image pickup module is used to gather the picture and/or the image of seized vehicle.
Server is used to verify the legitimacy of using the user who detects main frame; Receive examining report and detect data; Under specific detecting pattern; Carry out the assessment of impairments of seized vehicle according to detecting data, storage validated user information, detection data, assessment of impairments information and examining report, and access platform is provided.Server is exactly a webpage that sets up detection system basically; Behind the webpage that game server showed; Detection data and examining report to the corresponding detection main frame of receiving sends are preserved, are handled; And the data access that provides each branch to detect main frame, so that network service platform easily is provided for the vehicle transaction of each working point.
Detect the detected parameters setting that main frame is used to receive validated user; Be provided with to detecting front end transmission sense command according to this detected parameters; Receive and detect the detection data that front end sends; Carry out assessment of impairments according to detecting data, generate the corresponding examining report of seized vehicle, show, storage and will detect data, assessment of impairments information and examining report and be sent to server according to detecting data and assessment of impairments information.
Detecting main frame can be panel computer, in this embodiment, is preferably the panel computer based on Android operating system, but is not limited thereto.Each detects main frame and all has general unique identifier UUID; Server stores has every pairing UUID of detection main frame; Preserve the UUID of every equipment in dealer's hand; And each UUID numbered, record number and dealer's corresponding relation can be found the pairing dealer of UUID in case of necessity.Server can also be set up the relation of user account and UUID, and principle is: the user account that meets certain condition can detect on the main frame at all and land, and not limited by UUID; The user who belongs to the dealer then can only land the detection main frame of registering UUID under the own exabyte, can not land other and detect main frame, delimits user's legitimacy according to this.
(user account and password are all correct by legal users to detect main frame; And/or meet user account that server sets up and the relation of UUID) land use, gather automobile relevant information (by the validated user input) and afterwards, the generation sense command is set according to detected parameters; According to this sense command seized vehicle is carried out the pointwise detection so that detect front end; Whenever after obtaining an effective detection information, just carry out next detection, up to all being detected data; Carry out data and preserve, utilize then the 3G communication related data transmission to terminal server.In this embodiment, detect main frame and comprise: load module is used to receive user profile and detected parameters setting; Processing module is used for according to detected parameters the generation sense command being set, and generates examining report (this assessment of impairments information is formulated the assessment of impairments information of assessment of impairments information and/or server transmission for detecting main frame self) according to assessment of impairments information and detection data; Output module is used to show detected parameters setting, assessment of impairments information, detects data and examining report; Memory module is used for storage and detects data, assessment of impairments information and examining report; Bluetooth is used for sense command is sent to said detection front end; The 3G wireless communication module is used for detection data, assessment of impairments information and examining report are sent to server; Four-way letter unit is used for communicating by letter with vehicle-mounted car running computer.
As shown in Figure 2, comprise step according to a kind of Automobile Detection method of the present invention based on above-mentioned automobile detection system:
S1. detect main frame seized vehicle is carried out identity registration, the relevant information of gathering seized vehicle according to the detected parameters setting successively.
S2. detect main frame and gather the parameter to be detected of seized vehicle and/or use to detect front end seized vehicle is detected, with the information that collects and detect front end and be sent to the detection data that detect main frame automatically and all be sent to server.
S3. detect main frame and carry out the assessment of impairments information of assessment of impairments or reception server transmission according to detecting data; Relevant information, detection data and assessment of impairments information in conjunction with seized vehicle; Generate the examining report corresponding, and the examining report that generates is sent to server with this seized testing vehicle register.
In the method for the invention, confirm that the seized vehicle identity information of registration is errorless after, no matter proceed to which operation, with the optional end current detection of selecting per family, in such cases, the detection main frame still can generate and the corresponding examining report of seized vehicle of registering.When login next time should detect main frame, can select to increase newly to other vehicle detection, also can inquire about the detection of having accomplished, or continue uncompleted detection.
Before step S1, need be by user's login with the detection starting main frame.Show the input field of username and password on the login interface of detection main frame; The user inputs user account and password detects main frame with login; Can delete the content of having imported simultaneously, each step after the validated user after server authentication can promote to carry out during the input user account.In the system of this embodiment, detect the user name that can keep the user of this detection main frame of last login on the main frame.In addition, detect main frame during User login and detect the software version number of moving on the main frame automatically, upgrade if redaction is arranged then force, otherwise can't start software, update method is installed for downloading new edition installation kit (like Android installation kit APK) covering.
In step S1, seized vehicle carries out the identity registration and only selects to carry out after newly-increased the detection the user.In the identity enrollment process; Carry out vehicles identifications sign indicating number (Vehicle Identification Number; VIN) show, manually select vehicle, vehicle displaying, number-plate number displaying and Motor Number to show, be used to confirm to detect the type of vehicle, need judge the VIN sign indicating number of input; Be divided into three kinds of different situations: one, the VIN sign indicating number is correctly discerned, and is then directly demonstrating corresponding vehicle; Two, corresponded to wrong type of vehicle after the identification of VIN sign indicating number; Three, the VIN sign indicating number can not be discerned fully.All can manually select vehicle by the user under three kinds of different situations, comprise brand, car system and three grades of drop-down menus of vehicle, brand is a maximum kind, according to brand screening car system, again according to car system screening vehicle.Two contents of the number-plate number and Motor Number are used for the violation information of enquiring vehicle.After accomplishing, all information registering need confirmation errorless.
The parameter to be detected of prompting comprised during detected parameters was provided with: vehicle relevant information, the information of taking pictures, dominance damage information, stealthy damage information, operating mode statement and circuit prospecting, the collection of these several kinds of information is preferably carried out according to above-mentioned set detection in proper order.
Wherein, comprise vehicle essential information and vehicle out of Memory in the vehicle relevant information.Essential information comprises: gearbox-type, air capacity, the milimeter number that goes, vehicle standard configuration (functional configuration, comfortableness configuration and security configuration etc.), the configuration of car owner's individual character, vehicular seat, registration date, vehicle date of production, use character, environmental protection standard or the like; Wherein necessary item of information and optional item of information can be set arbitrarily, at this not as limitation of the present invention.The vehicle out of Memory comprises: seized vehicle whether be a handcart, original purchase car fare, last time transfer ownership the date, whether business risk, business risk date of expiry, the business risk amount of money, vehicle color, state of yearly examination arranged, whether have whether compulsory insurance for traffic accident of motor-drivenvehicle, compulsory insurance for traffic accident of motor-drivenvehicle date of expiry, Motor Number change, the vehicle and vessel tax date of expiry, whether information such as whether complete maintenance log, purchase tax, the vehicle frame number number of opening up are arranged; Wherein necessary item of information and optional item of information can be set arbitrarily, at this not as limitation of the present invention.
After the relevant information collection is accomplished; The collection of the information of need taking pictures; Selection is taken pictures behind the position; Detect main frame and send relevant detection and order, for example take pictures the position to detecting front end: left front 45 degree, operator seat left side (containing left B post), left front door inboard, mileometer, row's seat left side, back, middle control and bearing circle, left side vehicle body, boot integral body, boot base plate, right back 45 degree, right side vehicle body, after arrange on the left of a right side, copilot right side (containing right B post), dead ahead, engine integral body, nacelle right side, the nacelle, go etc.Detect the detection data (photo) that main frame shows that the detection front end returns; To a certain photo, detect main frame and can send the order that detects again, to obtain effectively to detect data to detecting front end; And it is preserved and show, can simultaneously one or more photo be made amendment or delete.
The collection of dominance damage information comprises successively the collection to the damage information of vehicle appearance, interior trim, skeleton and annex.
For outward appearance, be that check point is selected and marked to benchmark with the vehicle body outward appearance, comprise the type of impairment and the damage photographic intelligence of acquisition testing point, or confirm not damaged.Diverse location type of impairment for vehicle body is different, is divided into lacquer painting, tire, three kinds of situation of glass.The type of impairment of lacquer painting is: plastotype, scuffing, corrosion, be full of cracks, aberration, pit; The type of impairment of glass is: slight crack, cut, pit; The type of impairment of tire is: polish, bulge, wheel hub are hindered, tire brand/decorative pattern is inconsistent.The collection of damage photographic intelligence is by generating relevant detection order back through detecting front-end collection.In the method for this embodiment; Detecting main frame can number and preserve check point and corresponding damage information (type of impairment and damage photo) thereof; Can delete the corresponding informance of one or more check points, along with the deletion numbering change automatically of information, for example: existed to be numbered three damage records of 1,2,3; If the user deletes record No. 2, then No. 3 record cis-positions push away forward and become record No. 2.
For interior trim, be that check point is selected and marked to benchmark with the vehicle body interior trim, comprise the type of impairment and the damage photographic intelligence of acquisition testing point, or confirm not damaged.The type of impairment of interior trim is: slight crack, breakage, pine be spacious, burn trace, disappearance, seriously stained, wearing and tearing.Can number and preserve check point and corresponding damage information (type of impairment and damage photo) thereof; Can delete the corresponding informance of one or more check points; Deletion numbering change automatically along with information; For example: existed to be numbered three damage records of 1,2,3, if the user deletes record No. 2, then No. 3 record cis-positions push away forward and become record No. 2.
For skeleton, be that check point is selected and marked to benchmark with the body frame, comprise the type of impairment and the damage photographic intelligence of acquisition testing point, or confirm not damaged.The type of impairment of skeleton is: no glue, plasticity difference, slight crack, corrosion.Can number and preserve check point and corresponding damage information (type of impairment and damage photo) thereof; Can delete the corresponding informance of one or more check points; Deletion numbering change automatically along with information; For example: existed to be numbered three damage records of 1,2,3, if the user deletes record No. 2, then No. 3 record cis-positions push away forward and become record No. 2.
For annex, annex is divided into big type of vehicle body light fixture, driver's tool, spare tyre, Men Shousi, every type type of impairment for normal, damage, lose three kinds and corresponding text description.
The collection of implicit damage comprises quick mode and accurate pattern; All can generate sense command as required under two kinds of patterns; This sense command comprises lacquer painting sense command and skeleton sense command, according to sense command the coherent detection point is detected (one or many) by detecting front end.This part all is sent to server for saving by detecting the photo that front end collected, and on the detection main frame, does not show.
Under the fast detecting pattern, it is benchmark that lacquer painting detects with the vehicle body, and vehicle body is divided into several portions; And choose and mark check point to each part; Detect main frame directly or according to the type of impairment (lacquer painting reparation or panel beating reparation) that detects each check point of data judging, and carry out the integral body damage Comprehensive Assessment of vehicle body part, for example: detect at left front door section according to the most serious type of impairment in all check points of vehicle body part; Detection numbering altogether is respectively three impaired locis of 1,2,3; No. 1 point and No. 3 points are the lacquer painting reparation, and No. 2 points are the panel beating reparation, and then Comprehensive Assessment is the panel beating reparation.Detecting main frame can number and preserve check point, check point damage information (type of impairment and damage photo) and damage Comprehensive Assessment; Also can carry out the deletion or the modification of single check point relevant information; For example: existed to be numbered three damage records of 1,2,3; If the user deletes record No. 2, then No. 3 record cis-positions push away forward and become record No. 2.Need to prove, in the time can directly judging type of impairment, can carry out the judgement of " full car lacquer painting is repaired ", at this moment, also can carry out the judgement that panel beating is repaired the part.
Under the fast detecting pattern, it is benchmark that skeleton detects with the skeleton, and vehicle body is divided into several portions; And choose and mark check point to each part; Detect main frame directly or according to the type of impairment (lacquer painting reparation or panel beating reparation) that detects each check point of data judging, and carry out the integral body damage Comprehensive Assessment of vehicle body part, for example: detect at left front door section according to the most serious type of impairment in all check points of vehicle body part; Detection numbering altogether is respectively three impaired locis of 1,2,3; No. 1 point and No. 3 points are the lacquer painting reparation, and No. 2 points are the panel beating reparation, and then Comprehensive Assessment is the panel beating reparation.Detecting main frame can number and preserve check point, check point damage information (type of impairment and damage photo) and damage Comprehensive Assessment; Also can carry out the deletion or the modification of single check point relevant information; For example: existed to be numbered three damage records of 1,2,3; If the user deletes record No. 2, then No. 3 record cis-positions push away forward and become record No. 2.
Under accurate detecting pattern, it is benchmark that lacquer painting detects with the vehicle body, and each check point that can detect on the vehicle body is all tested.Detection for being starting point from bonnet, encloses vehicle body to rotate a circle in proper order counterclockwise, detects right front beater or beat-up at last; Wherein, the detection of each part of vehicle body in proper order for from left to right, from top to bottom.Accurate detecting pattern detection data down all are sent to server, by server according to detect data to vehicle body regional carry out assessment of impairments (type of impairment).
Under accurate detecting pattern, skeleton detects skeleton as benchmark, and each check point that can detect on the skeleton is all tested.Detection for being starting point from left A post, encloses vehicle body to rotate a circle in proper order counterclockwise, detects the cover inner edge at last; Wherein, the detection of each part of skeleton is in proper order for from top to bottom, from left to right.Accurate detecting pattern detection data down all are sent to server, by server according to detect data to vehicle body regional carry out assessment of impairments (type of impairment).
Check point and quick mode number in the accurate pattern have increased by one times, each original bulk all is divided into 2 once more detects.Also can gather some detailed literal that increase by the user (setting number of words, for example 30 words) descriptor.
The collection of operating mode statement comprises the collection of starter/power steering, engine, variator, shock absorber, chassis/go, detent, exhaust system, electric system eight big category informations; No abnormal, unusual two states (Dan Xuan) can be selected in every type, detailed description can be imported every type of back.
Car running computer and car running computer are arranged just often on seized vehicle, detect main frame and carry out the circuit prospecting through being connected with the formation computer.
Need to prove that in accurate testing process, server carries out whole assessment of impairments and can be based on following algorithm according to detecting data:
To dissimilar check points: for planar point position (like machine cover, roof): selecting the coating thickness determination value is that the coating thickness determination value of the following check point of the above 120um of 80um averages; Obtain mean value; If for each zone; In this zone, have at least the coating thickness determination value of 1 check point to meet this mean value, then, judge the type of impairment of each check point with this with this mean value substitution formula (1); If in this zone, there is not the check point that meets this mean value, be 110um then, and substitution formula (1) calculate with " mean value " assignment, judge the type of impairment of each check point with this.
Formula (1): mean value+300＞measured value＞mean value+25=lacquer painting is repaired; Measured value＞mean value+300=panel beating is repaired.
| The check point sequence number | Coating thickness determination value (um) |
| 55 | 92 |
| 5 | 102 |
| 64 | 103 |
| 7 | 104 |
| 16 | 105 |
| 53 | 105 |
| 59 | 108 |
| 9 | 110 |
| 15 | 110 |
| 54 | 110 |
| 4 | 112 |
| 13 | 112 |
| 12 | 113 |
| 2 | 116 |
| 3 | 116 |
| 61 | 116 |
| 8 | 117 |
| 14 | 119 |
| 6 | 120 |
| 52 | 120 |
| 58 | 123 |
| 1 | 124 |
| 11 | 124 |
| 10 | 126 |
| 63 | 133 |
| 56 | 135 |
| 57 | 145 |
| 60 | 145 |
| 62 | 182 |
Table 1: data are detected in part planar point position
Detection data instance with each the planar point position shown in the table 1: coating thickness side value is that the coating thickness determination value mean value of the check point below the above 120um of 80um is 110.5um; No matter which zone above-mentioned each check point belongs to; All not having measured value is the check point of 110.5um; Therefore, be 110um with " mean value " assignment, and judge the type of impairment of each check point according to formula (1): the type of impairment of the check point of 410＞measured value＞135 is " lacquer painting reparation "; The type of impairment of the check point of measured value＞410 is " panel beating reparation ".
For cylinder point position (like A post, B post): selecting the coating thickness determination value is that the coating thickness determination value of the following check point of the above 120um of 60um averages; Obtain mean value; If for each zone; In this zone, have at least the coating thickness determination value of 1 check point to meet this mean value, then, judge the type of impairment of each check point with this with this mean value substitution formula (2); If in this zone, there is not the check point that meets this mean value, be 100um then, and substitution formula (2) calculate with " mean value " assignment, judge the type of impairment of each check point with this.
Formula (2): mean value+300＞measured value＞mean value+25=lacquer painting is repaired; Measured value＞mean value+300=panel beating is repaired.
| The check point sequence number | Coating thickness determination value (um) |
| 85 | 68 |
| 84 | 75 |
| 36 | 82 |
| 83 | 93 |
| 35 | 101 |
| 34 | 116 |
| 69 | 125 |
| 68 | 132 |
| 50 | 136 |
| 51 | 140 |
| 26 | 162 |
| 94 | 166 |
| 25 | 178 |
| 93 | 181 |
Table 2: data are detected in part cylinder point position
Detection data instance with each the cylinder point position shown in the table 2: coating thickness side value is that the coating thickness determination value mean value of the check point below the above 120um of 60um is 89.2um; No matter which zone above-mentioned each check point belongs to; All not having measured value is the check point of 89.2um; Therefore, be 100um with " mean value " assignment, and judge the type of impairment of each check point according to formula (2): the type of impairment of the check point of 400＞measured value＞125 is " lacquer painting reparation "; The type of impairment of the check point of measured value＞400 is " panel beating reparation ".
For the interior position (like cover inner edge, boot coaming plate) that is coated with: selecting the coating thickness determination value is that the coating thickness determination value of the following check point position of the above 100um of 35um averages; Obtain mean value; If for each zone; In this zone, have at least the coating thickness determination value of 1 check point to meet this mean value, then, judge the type of impairment of each check point with this with this mean value substitution formula (3); If in this zone, there is not the check point that meets this mean value, be 65um then, and substitution formula (3) calculate with " mean value " assignment, judge the type of impairment of each check point with this.
Formula (3): mean value+300＞measured value＞mean value+40=lacquer painting is repaired; Measured value＞mean value+300=panel beating is repaired.
| The check point sequence number | Coating thickness determination value (um) |
| 66 | 59 |
| 112 | 60 |
| 114 | 63 |
| 110 | 64 |
| 113 | 71 |
| 106 | 90 |
| 65 | 117 |
| 111 | 124 |
| 67 | 262 |
| 107 | 277 |
| 109 | 350 |
| 108 | 526 |
Table 3: be coated with a position in the part and detect data
To be coated with the detection data instance of a position in each shown in the table 3: coating thickness side value is that the coating thickness determination value mean value of the check point below the above 100um of 35um is 67.8um; No matter which zone above-mentioned each check point belongs to; All not having measured value is the check point of 67.8um; Therefore, be 65um with " mean value " assignment, and judge the type of impairment of each check point according to formula (3): the type of impairment of the check point of 365＞measured value＞105 is " lacquer painting reparation "; The type of impairment of the check point of measured value＞365 is " panel beating reparation ".
After judging the type of impairment that obtains each check point in each zone, carry out the integral body damage Comprehensive Assessment in this zone according to the most serious type of impairment in all check points in each zone.
In addition; Detect main frame when the examining report of detection has been accomplished in storage; Can use Label automatically all reports to be carried out collating sort according to time sequencing; Before nearest report is illustrated in, the division of Label for example: for before today, yesterday, week X (having only the detection in this week just can show week X), last week, three weeks, last month, more early.Every report having accomplished in the detection list can be showed according to detection time (being accurate to second, like 2012-02-0715:19:27), vehicle (as: the automatic corium type of FAW-Volkswagen/Sagitar/06 section 1.6L), the order or the like of calling state.For the examining report of not accomplishing detection too.But the examining report of storing in the detection main frame of accomplishing detection can not be made amendment and can only be shown checking, and can continue perfect to not accomplishing the examining report that detects.When accomplishing examining report, examining report is uploaded to server, cannot deletes or revise report in the upload procedure by detecting main frame.
To sum up, method detailed process of the present invention is shown in 3 figure.
Need to prove; In above-mentioned testing process, as long as need when detect front end transmission sense command, detect main frame and all need detect main frame and the connection judgment that detects front end; And when not having connection, connect; And in detecting data transfer,, need rebulid connection if detect main frame and the disconnection that is connected that detects between the front end; Detect main frame with detect between the front end to be connected flow process as shown in Figure 4, comprising detecting situation about communicating through bluetooth between main frame and the detection front end.
Above embodiment only is used to explain the present invention; And be not limitation of the present invention; The those of ordinary skill in relevant technologies field under the situation that does not break away from the spirit and scope of the present invention, can also be made various variations and modification; Therefore all technical schemes that are equal to also belong to category of the present invention, and scope of patent protection of the present invention should be defined by the claims.
Claims (10)
1. an automobile detection system is characterized in that, comprising:
Detect front end, be used for seized vehicle being detected, and will detect data and be sent to the detection main frame according to sense command;
Detect main frame; Be used to receive the detected parameters setting of validated user; Be provided with to said detection front end transmission sense command according to said detected parameters, receive said detection data, carry out assessment of impairments according to said detection data; Generate examining report according to said detection data and assessment of impairments information, show, storage and said detection data and examining report are sent to server;
Server is used to verify user's legitimacy, receives said examining report and detects data, carries out the assessment of impairments of seized vehicle according to said detection data, storage validated user information, detects data and examining report.
2. the system of claim 1 is characterized in that, said detection front end comprises:
Detecting module is used to gather said seized vehicle coatings thickness;
First communication module is used for said detection data are sent to said detection main frame.
3. system as claimed in claim 2 is characterized in that, said detection front end also comprises:
Image pickup module is used to gather the picture and/or the image of said seized vehicle.
4. system as claimed in claim 3 is characterized in that, said detection main frame comprises:
Load module is used to receive user profile and detected parameters setting;
Processing module is used for according to said detected parameters the generation sense command being set, and generates examining report according to assessment of impairments information and detection data;
Output module is used to show said detected parameters setting, assessment of impairments information, detects data and examining report;
Memory module is used to store said detection data, assessment of impairments information and examining report;
Second communication module is used for said sense command is sent to said detection front end;
Third communication module is used for said detection data and examining report are sent to said server.
5. system as claimed in claim 4 is characterized in that, said first communication module and said second communication module are bluetooth.
6. system as claimed in claim 4 is characterized in that, said third communication unit is sent to said server through the 3G communication with said detection data and examining report.
7. system as claimed in claim 4 is characterized in that, said detection main frame also comprises four-way letter module, is used for communicating with the car running computer of seized vehicle.
8. system as claimed in claim 4 is characterized in that, said detection main frame has general unique identifier UUID, and said server also stores every pairing UUID of detection main frame.
9. Automobile Detection method based on each described system of claim 1-8 is characterized in that the method comprising the steps of:
S1. detect main frame seized vehicle is carried out identity registration, the relevant information of gathering seized vehicle according to the detected parameters setting successively.
S2. detect main frame and gather the parameter to be detected of seized vehicle and/or use the detection front end that seized vehicle is detected, information that collects and said detection data are sent to server respectively;
S3. detect main frame and carry out the assessment of impairments information that the server of assessment of impairments or reception sends according to detecting data; Relevant information, detection data and assessment of impairments information in conjunction with seized vehicle generate the examining report corresponding with this seized testing vehicle register, and the examining report that generates is sent to server.
10. method as claimed in claim 9 is characterized in that, said detected parameters is provided for pointing out parameter to be detected, sets detection order and type of impairment.
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103488803A (en) * | 2013-09-11 | 2014-01-01 | 天脉聚源(北京)传媒科技有限公司 | Method and device for generating car inspection reports |
| CN103493081A (en) * | 2012-04-05 | 2014-01-01 | 丰田通商株式会社 | Vehicle paint film thickness estimation system, paint film thickness estimation method and computer program |
| CN105223028A (en) * | 2015-10-10 | 2016-01-06 | 福州车友网络科技有限公司 | A kind of remote machine motor-car comprehensive detection appraisal procedure and system |
| CN105336176A (en) * | 2015-11-24 | 2016-02-17 | 大连楼兰科技股份有限公司 | Second-hand vehicle detection method and system |
| CN105620434A (en) * | 2015-12-18 | 2016-06-01 | 周桂英 | Intelligent vehicle repair system of vehicle repair plant |
| CN106289796A (en) * | 2016-06-22 | 2017-01-04 | 吴明 | Sheets specifically used for automobile calls the method for vehicle parameter |
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| CN107271198A (en) * | 2017-06-26 | 2017-10-20 | 苏州艾酷玛赫设备制造有限公司 | Automobile detection system |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20020074541A (en) * | 2001-03-20 | 2002-10-04 | 카체커스(주) | Method of Inspecting Used Car through Network System |
| CN1818967A (en) * | 2006-03-23 | 2006-08-16 | 北京泰智咨询有限公司 | Status assessing system of vehicle |
| US20070293997A1 (en) * | 2006-05-31 | 2007-12-20 | Manheim Investments, Inc. | Computer-assisted and/or enabled systems, methods, techniques, services and user interfaces for conducting motor vehicle and other inspections |
| CN101419646A (en) * | 2007-10-26 | 2009-04-29 | 深圳职业技术学院 | Old automobile identification and assessment system and method |
| CN201378320Y (en) * | 2009-03-26 | 2010-01-06 | 苏州市职业大学 | Second-hand car evaluating and pricing system |
| CN101793611A (en) * | 2010-03-04 | 2010-08-04 | 王铁忠 | Portable automatic identifying system for second-hand vehicles |
-
2012
- 2012-04-20 CN CN201210119807.8A patent/CN102680244B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20020074541A (en) * | 2001-03-20 | 2002-10-04 | 카체커스(주) | Method of Inspecting Used Car through Network System |
| CN1818967A (en) * | 2006-03-23 | 2006-08-16 | 北京泰智咨询有限公司 | Status assessing system of vehicle |
| US20070293997A1 (en) * | 2006-05-31 | 2007-12-20 | Manheim Investments, Inc. | Computer-assisted and/or enabled systems, methods, techniques, services and user interfaces for conducting motor vehicle and other inspections |
| CN101419646A (en) * | 2007-10-26 | 2009-04-29 | 深圳职业技术学院 | Old automobile identification and assessment system and method |
| CN201378320Y (en) * | 2009-03-26 | 2010-01-06 | 苏州市职业大学 | Second-hand car evaluating and pricing system |
| CN101793611A (en) * | 2010-03-04 | 2010-08-04 | 王铁忠 | Portable automatic identifying system for second-hand vehicles |
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103493081A (en) * | 2012-04-05 | 2014-01-01 | 丰田通商株式会社 | Vehicle paint film thickness estimation system, paint film thickness estimation method and computer program |
| CN103493081B (en) * | 2012-04-05 | 2016-08-24 | 丰田通商株式会社 | The coating thickness of vehicle calculates system, computational methods |
| CN103488803A (en) * | 2013-09-11 | 2014-01-01 | 天脉聚源(北京)传媒科技有限公司 | Method and device for generating car inspection reports |
| CN106525446B (en) * | 2015-09-14 | 2019-02-12 | 广州汽车集团股份有限公司 | Car-mounted terminal detection method and system |
| CN106525446A (en) * | 2015-09-14 | 2017-03-22 | 广州汽车集团股份有限公司 | Vehicle terminal detection method and system |
| CN106557939B (en) * | 2015-09-25 | 2020-02-28 | 优信拍（北京）信息科技有限公司 | Motor vehicle detection system and method |
| CN106557939A (en) * | 2015-09-25 | 2017-04-05 | 优信拍（北京）信息科技有限公司 | A kind of motor vehicle detecting system and method |
| CN105223028A (en) * | 2015-10-10 | 2016-01-06 | 福州车友网络科技有限公司 | A kind of remote machine motor-car comprehensive detection appraisal procedure and system |
| CN105336176A (en) * | 2015-11-24 | 2016-02-17 | 大连楼兰科技股份有限公司 | Second-hand vehicle detection method and system |
| CN105620434A (en) * | 2015-12-18 | 2016-06-01 | 周桂英 | Intelligent vehicle repair system of vehicle repair plant |
| CN105620434B (en) * | 2015-12-18 | 2018-06-26 | 李建勋 | Auto repair shop intelligently repairs system |
| WO2017147842A1 (en) * | 2016-03-03 | 2017-09-08 | 上海开新汽车服务有限公司 | Commodity auction system and method |
| CN106289796A (en) * | 2016-06-22 | 2017-01-04 | 吴明 | Sheets specifically used for automobile calls the method for vehicle parameter |
| CN107271198A (en) * | 2017-06-26 | 2017-10-20 | 苏州艾酷玛赫设备制造有限公司 | Automobile detection system |
| CN108255457A (en) * | 2018-02-24 | 2018-07-06 | 优信拍（北京）信息科技有限公司 | A kind of multi-screen sees vehicle method, device and system |
| CN108255457B (en) * | 2018-02-24 | 2021-03-09 | 优信拍（北京）信息科技有限公司 | Multi-screen vehicle watching method, device and system |
| CN111929079A (en) * | 2020-10-09 | 2020-11-13 | 北京智科车联科技有限公司 | Annual inspection pre-examining method for vehicle and vehicle |
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| CN114034495A (en) * | 2021-11-18 | 2022-02-11 | 北京起重运输机械设计研究院有限公司 | Industrial vehicle comprehensive detection system |
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Application publication date: 20120919 Assignee: Beijing May 8th clapping Information Technology Co., Ltd Assignor: YOUXIN HULIAN (BEIJING) INFORMATION TECHNOLOGY Co.,Ltd. Contract record no.: X2020990000162 Denomination of invention: Automobile detection system and method Granted publication date: 20150527 License type: Common License Record date: 20200407 |