CN112699490B - Vehicle maintenance result verification method and device - Google Patents
Vehicle maintenance result verification method and device Download PDFInfo
- Publication number
- CN112699490B CN112699490B CN202110003171.XA CN202110003171A CN112699490B CN 112699490 B CN112699490 B CN 112699490B CN 202110003171 A CN202110003171 A CN 202110003171A CN 112699490 B CN112699490 B CN 112699490B
- Authority
- CN
- China
- Prior art keywords
- verification
- vehicle
- data
- vehicle maintenance
- acquisition
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012795 verification Methods 0.000 title claims abstract description 290
- 238000012423 maintenance Methods 0.000 title claims abstract description 120
- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000004590 computer program Methods 0.000 claims description 11
- 238000004422 calculation algorithm Methods 0.000 claims description 8
- 238000010586 diagram Methods 0.000 claims description 6
- 230000008439 repair process Effects 0.000 claims description 4
- 238000013524 data verification Methods 0.000 claims description 3
- 238000012360 testing method Methods 0.000 claims description 3
- XSQUKJJJFZCRTK-UHFFFAOYSA-N Urea Chemical compound NC(N)=O XSQUKJJJFZCRTK-UHFFFAOYSA-N 0.000 description 25
- 239000004202 carbamide Substances 0.000 description 25
- 239000000446 fuel Substances 0.000 description 12
- 238000004364 calculation method Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 238000002347 injection Methods 0.000 description 5
- 239000007924 injection Substances 0.000 description 5
- 230000001186 cumulative effect Effects 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000010200 validation analysis Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000008929 regeneration Effects 0.000 description 1
- 238000011069 regeneration method Methods 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 230000004143 urea cycle Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/15—Vehicle, aircraft or watercraft design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/12—Timing analysis or timing optimisation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Data Mining & Analysis (AREA)
- Geometry (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Quality & Reliability (AREA)
- Computer Hardware Design (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Economics (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Artificial Intelligence (AREA)
- Computational Mathematics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Automation & Control Theory (AREA)
- Aviation & Aerospace Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Evolutionary Biology (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Vehicle Cleaning, Maintenance, Repair, Refitting, And Outriggers (AREA)
Abstract
The invention discloses a vehicle maintenance result verification method and device, which are characterized in that a verification request signal comprising a vehicle maintenance project and a verification period thereof is sent by a mobile terminal, and a data acquisition task is generated according to the vehicle maintenance project by acquiring a verification model and a verification condition corresponding to the vehicle maintenance project from a server under the condition that the verification period is larger than a set time threshold value, and acquisition configuration information of a vehicle is generated according to the data acquisition task and is sent to T-BOX equipment of the vehicle; the acquisition data returned by the T-BOX equipment is received, the acquisition data is input into the verification model to obtain verification parameters, whether the verification parameters meet verification conditions or not is judged to judge whether the vehicle is successfully maintained, the automatic acquisition verification data of the vehicle is used for replacing the traditional manual vehicle following, the verification cost of the vehicle maintenance result is reduced, the manual misjudgment and missed judgment are avoided, and the accuracy and the efficiency of the verification of the vehicle maintenance result are improved.
Description
Technical Field
The invention relates to the field of vehicle detection, in particular to a vehicle maintenance result verification method and device.
Background
At present, a technical or manufacturer technician is often required to manually follow the vehicle after the vehicle is repaired in a manner of judging whether the vehicle is successfully repaired or not, and in the process of repairing the vehicle failure, a part of failures can be reproduced (such as exceeding emission standard) due to the fact that the vehicle is required to run under specific conditions or for a period of time, and the failures bring a certain difficulty to verification after the vehicle is repaired.
Most of the existing vehicle maintenance result verification modes are manually judged, verification efficiency is low, and misjudgment is easy to occur.
Disclosure of Invention
The invention aims to overcome the defects and shortcomings of the prior art and provide a vehicle maintenance result verification method and device for improving the accuracy of vehicle maintenance result verification.
In a first aspect, an embodiment of the present application provides a method for verifying a maintenance result of a vehicle, where a T-BOX device is provided on the vehicle;
the vehicle maintenance result verification method comprises the following steps:
receiving a verification request signal sent by a mobile terminal; wherein the verification request signal comprises a vehicle maintenance project and a verification period thereof;
if the verification period is greater than a set time threshold, obtaining a verification model and verification conditions corresponding to the vehicle maintenance project from a server;
generating a data acquisition task according to the vehicle maintenance project;
generating acquisition configuration information of the vehicle according to the data acquisition task and sending the acquisition configuration information to the T-BOX equipment;
receiving acquisition data returned by the T-BOX equipment, inputting the acquisition data into the verification model to obtain verification parameters, and judging whether the verification parameters meet verification conditions or not;
and if the verification parameters always meet the verification conditions, judging that the vehicle maintenance is successful, and feeding back the vehicle maintenance verification result to the mobile terminal.
Optionally, after the step of receiving the authentication request signal sent by the mobile terminal, the method further includes:
if the verification period is less than or equal to a set time threshold;
acquiring maintenance data corresponding to the vehicle maintenance project;
generating a prompt signal for reminding a user to control the vehicle to execute corresponding operation according to the vehicle maintenance project;
collecting verification data after a user executes corresponding operation;
and comparing the verification data with the maintenance data to determine whether the vehicle is successfully maintained.
Optionally, the collected data returned by the T-BOX device is the running data of the vehicle in the verification period or in the verification mileage.
Optionally, the verification conditions include a verification parameter threshold range and a verification period of vehicle operation;
the step of judging whether the verification parameters meet the verification conditions comprises the following steps:
and in the verification period, if the verification parameter is always within the verification parameter threshold range, judging that the verification parameter meets the verification condition.
Optionally, the verification conditions comprise a verification parameter threshold range and a verification mileage of vehicle operation;
the step of judging whether the verification parameters meet the verification conditions comprises the following steps:
and in the verification mileage, if the verification parameter is always within the verification parameter threshold range, judging that the verification parameter meets the verification condition.
Optionally, the verification parameter threshold range is a first verification parameter threshold range obtained based on expert experience and/or bench test.
Optionally, the verification request signal further includes a vehicle model;
before the step of acquiring the verification condition corresponding to the vehicle maintenance item from the server, the method further includes:
acquiring historical data corresponding to the vehicle model and the vehicle maintenance project, and removing outliers in the historical data;
clustering the historical data by using a clustering algorithm, and selecting the first N categories with the most data points for data merging; wherein N is less than the number of clusters;
acquiring a distribution interval of the combined data by using a box diagram algorithm to obtain a second verification parameter threshold range;
and if the second verification parameter threshold range is smaller than the first verification parameter threshold range, taking the second verification parameter threshold range as a verification parameter threshold range.
In a second aspect, an embodiment of the present application provides a vehicle maintenance result verification apparatus, where a T-BOX device is provided on a vehicle;
the vehicle maintenance result verification apparatus includes:
the request signal receiving module is used for receiving a verification request signal sent by the mobile terminal; wherein the verification request signal comprises a vehicle maintenance project and a verification period thereof;
the verification condition acquisition module is used for acquiring a verification model and a verification condition corresponding to the vehicle maintenance project from a server if the verification period is larger than a set time threshold;
the data acquisition task generating module is used for generating a data acquisition task according to the vehicle maintenance project;
the configuration information generation module is used for generating acquisition configuration information of the vehicle according to the data acquisition task and sending the acquisition configuration information to the T-BOX equipment;
the acquisition data verification module is used for receiving acquisition data returned by the T-BOX equipment, inputting the acquisition data into the verification model to obtain verification parameters, and judging whether the verification parameters meet verification conditions or not;
and the vehicle maintenance result acquisition module is used for judging that the vehicle maintenance is successful if the verification parameters always meet the verification conditions, and feeding back the vehicle maintenance verification result to the mobile terminal.
In a third aspect, embodiments of the present application provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of a vehicle repair result verification method as described in any one of the preceding claims.
In a fourth aspect, embodiments of the present application provide a vehicle diagnostic system, including a memory, a processor, and a computer program stored in the memory and executable by the processor, the processor implementing the steps of the vehicle repair result verification method as described in any one of the above when the computer program is executed.
In the embodiment of the application, by receiving a verification request signal including a vehicle maintenance project and a verification period thereof sent by a mobile terminal, aiming at the situation that the verification period is larger than a set time threshold, a verification model and a verification condition corresponding to the vehicle maintenance project are acquired from a server, a data acquisition task is generated according to the vehicle maintenance project, acquisition configuration information of a vehicle is generated according to the data acquisition task, and the acquisition configuration information is sent to T-BOX equipment of the vehicle; the acquisition data returned by the T-BOX equipment is received, the acquisition data is input into the verification model to obtain verification parameters, whether the verification parameters meet verification conditions or not is judged to judge whether the vehicle is successfully maintained, the automatic acquisition verification data of the vehicle is used for replacing the traditional manual vehicle following, the verification cost of the vehicle maintenance result is reduced, the manual misjudgment and missed judgment are avoided, and the accuracy and the efficiency of the verification of the vehicle maintenance result are improved.
For a better understanding and implementation, the present invention is described in detail below with reference to the drawings.
Drawings
FIG. 1 is a flow chart of a method of verifying vehicle maintenance results in an exemplary embodiment of the invention;
fig. 2 is a schematic structural view of a vehicle maintenance result verification apparatus in an exemplary embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the following detailed description of the embodiments of the present application will be given with reference to the accompanying drawings.
It should be understood that the described embodiments are merely some, but not all, of the embodiments of the present application. All other examples, which may be made by one of ordinary skill in the art without undue burden based on the embodiments herein, are within the scope of the embodiments herein.
The terminology used in the embodiments of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the embodiments of the application. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims. In the description of this application, it should be understood that the terms "first," "second," "third," and the like are used merely to distinguish between similar objects and are not necessarily used to describe a particular order or sequence, nor should they be construed to indicate or imply relative importance. The specific meaning of the terms in this application will be understood by those of ordinary skill in the art as the case may be.
Furthermore, in the description of the present application, unless otherwise indicated, "a number" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.
The method and the device can be applied to detecting the vehicle after maintenance, T-BOX equipment is arranged on the vehicle, the T-BOX equipment is an intelligent vehicle-mounted terminal of a vehicle network, and information interaction can be carried out with the vehicle through a vehicle communication protocol to obtain running data of the vehicle.
As shown in fig. 1, an embodiment of the present application provides a vehicle maintenance result verification method, including the following steps:
step S1: receiving a verification request signal sent by a mobile terminal; wherein the verification request signal comprises a vehicle maintenance project and a verification period thereof;
the verification request signal is a vehicle maintenance result verification request signal input by a user at the mobile terminal.
The verification period is the time required to verify whether a certain vehicle maintenance item was successfully serviced. For example, when the vehicle malfunction items are that urea consumption is high and regeneration is frequent, etc., and it is necessary to perform verification by traveling hundreds or thousands of kilometers after maintenance, the verification period may be the time required for the vehicle to travel to reach the above mileage.
Step S2: if the verification period is greater than a set time threshold, obtaining a verification model and verification conditions corresponding to the vehicle maintenance project from a server;
the set time threshold can be set according to actual requirements.
The verification model is used for carrying out logic calculation on the acquired data to obtain verification parameters. The verification model comprises various calculation formulas corresponding to verification parameters of vehicle maintenance projects.
The verification condition is used for judging whether the verification parameter meets the condition of successful maintenance or not, and the vehicle maintenance verification result is obtained according to the judgment result.
Specifically, in one embodiment, the verification conditions include a verification parameter threshold range and a verification period of vehicle operation;
the step of judging whether the verification parameters meet the verification conditions comprises the following steps:
and in the verification period, if the verification parameter is always within the verification parameter threshold range, judging that the verification parameter meets the verification condition.
In another embodiment, the verification conditions include a verification parameter threshold range and a verification mileage of vehicle operation;
the step of judging whether the verification parameters meet the verification conditions comprises the following steps:
and in the verification mileage, if the verification parameter is always within the verification parameter threshold range, judging that the verification parameter meets the verification condition.
Step S3: generating a data acquisition task according to the vehicle maintenance project;
the data acquisition tasks include various vehicle parameters required to verify whether the vehicle maintenance project is successfully maintained, such as the urea cycle injection quantity, the vehicle speed, the fuel cycle injection quantity, the engine speed, the clutch signals and other relevant parameters. In one embodiment, a plurality of data acquisition tasks may be generated, wherein a vehicle parameter corresponds to a data acquisition task.
Step S4: generating acquisition configuration information of the vehicle according to the data acquisition task and sending the acquisition configuration information to the T-BOX equipment;
in one embodiment, based on a communication protocol of the vehicle, the vehicle generates acquisition configuration information of the vehicle according to the data acquisition task, and the vehicle executes the data acquisition task according to the received acquisition configuration information and returns acquisition data.
The data is collected and monitored by means of the T-BOX equipment of the vehicle, so that the maintenance and verification cost of the vehicle is reduced.
Step S5: receiving acquisition data returned by the T-BOX equipment, inputting the acquisition data into the verification model to obtain verification parameters, and judging whether the verification parameters meet verification conditions or not;
in one embodiment, the collected data returned by the T-BOX device is operation data of the vehicle in a verification period or in a verification mileage, and when the collected data returned by the T-BOX device meets a certain verification period or verification mileage, a collection stopping instruction is sent to the T-BOX device to control the T-BOX device to stop data collection.
The verification condition may be a verification parameter threshold value or a verification parameter threshold range preset by a user for judging whether the vehicle is successfully repaired. In one embodiment, the validation parameter threshold range is a first validation parameter threshold range based on expert experience and/or bench test.
Step S6: and if the verification parameters always meet the verification conditions, judging that the vehicle maintenance is successful, and feeding back the vehicle maintenance verification result to the mobile terminal.
And returning the vehicle maintenance verification result to the mobile terminal so that a user or a maintenance person can know the vehicle maintenance result in time.
In the embodiment of the application, by receiving a verification request signal including a vehicle maintenance project and a verification period thereof sent by a mobile terminal, aiming at the situation that the verification period is larger than a set time threshold, a verification model and a verification condition corresponding to the vehicle maintenance project are acquired from a server, a data acquisition task is generated according to the vehicle maintenance project, acquisition configuration information of a vehicle is generated according to the data acquisition task, and the acquisition configuration information is sent to T-BOX equipment of the vehicle; the acquisition data returned by the T-BOX equipment is received, the acquisition data is input into the verification model to obtain verification parameters, whether the verification parameters meet verification conditions or not is judged to judge whether the vehicle is successfully maintained, the automatic acquisition verification data of the vehicle is used for replacing the traditional manual vehicle following, the verification cost of the vehicle maintenance result is reduced, the manual misjudgment and missed judgment are avoided, and the accuracy and the efficiency of the verification of the vehicle maintenance result are improved.
In an exemplary embodiment, after the step of receiving the authentication request signal transmitted by the mobile terminal, the method further includes:
if the verification period is less than or equal to a set time threshold;
acquiring maintenance data corresponding to the vehicle maintenance project;
generating a prompt signal for reminding a user to control the vehicle to execute corresponding operation according to the vehicle maintenance project;
collecting verification data after a user executes corresponding operation;
and comparing the verification data with the maintenance data to determine whether the vehicle is successfully maintained.
Aiming at the vehicle maintenance project with short verification period, the prompt signal can be directly generated, so that a user can execute corresponding operation according to the prompt signal to acquire data, and the vehicle maintenance verification result can be quickly obtained by comparing the data with maintenance data.
In a preferred embodiment, the verification request signal further includes a vehicle model number;
before the step of acquiring the verification condition corresponding to the vehicle maintenance item from the server, the method further includes:
acquiring historical data corresponding to the vehicle model and the vehicle maintenance project, and removing outliers in the historical data;
clustering the historical data by using a clustering algorithm, and selecting the first N categories with the most data points for data merging; wherein N is less than the number of clusters;
acquiring a distribution interval of the combined data by using a box diagram algorithm to obtain a second verification parameter threshold range;
and if the second verification parameter threshold range is smaller than the first verification parameter threshold range, taking the second verification parameter threshold range as a verification parameter threshold range.
The box graph is a statistical graph used to display a set of data dispersion profiles. By first finding the upper edge, lower edge, median and two quartiles of a set of data; then, connecting two quartiles to draw a box body; and then the upper edge and the lower edge are connected with the box body, the median is in the middle of the box body, and the abnormal value and the distribution interval in a batch of data can be determined through a box diagram. In the embodiment of the application, the upper limit and the lower limit of the merged data are obtained through a box diagram algorithm, and a section formed by the upper limit and the lower limit is used as a second verification parameter threshold range.
The more accurate verification parameter threshold range is obtained by combining manual experience with big data analysis, and the accuracy of vehicle maintenance result verification is ensured.
The following describes a vehicle maintenance result verification process according to the embodiment of the present application, with vehicle urea consumption as a vehicle maintenance project and a range of a driving range and urea fuel consumption ratio normal range as verification conditions, where the verification process is as follows:
obtaining a vehicle urea consumption verification model from a server, wherein the verification model takes a vehicle urea fuel consumption ratio (hundred kilometers of urea consumption/hundred kilometers of fuel consumption) as a verification parameter, and the verification parameter is calculated as follows:
and acquiring related parameters such as urea circulation injection quantity, vehicle speed, fuel circulation injection quantity, engine speed, clutch signals and the like in the running process of the vehicle through TBOX, calculating hundred kilometers of urea consumption and hundred kilometers of fuel consumption by using the latest 500 kilometers of data every 5 minutes, and calculating the ratio of the two. The calculation formula is as follows:
interval accumulated driving mileage (kilometers) = Σcurrent vehicle speed (unit m/s) acquisition interval/1000;
urea accumulated consumption in 1 km interval is = Σcurrent urea injection quantity (unit second) the acquisition interval;
in actual calculation, according to the difference of the accumulated driving mileage of the vehicle, the urea consumption calculation formula is different, specifically:
when the accumulated driving distance of the vehicle is more than 500 km:
100 km urea consumption = interval urea cumulative consumption value/5 of 500 km of the nearest interval cumulative driving mileage;
range = current urea level value/100 km urea consumption;
when the accumulated driving distance of the vehicle is less than 500 km:
100 km urea consumption = total interval urea cumulative consumption/total interval cumulative mileage;
range = current urea level value/100 km urea consumption;
determining that the range of the urea fuel consumption ratio normal interval of a specified vehicle model is 3% -7% based on expert experience, for further accurate value of the range, extracting the latest 2000 km data collected by the vehicle history of 100 vehicles of the vehicle model, calculating the latest 500 km urea fuel consumption ratio every 5 minutes through the calculation formula to obtain the latest 2000 km urea fuel consumption ratio distribution of 100 vehicles, totally closing 3 tens of thousands of data points, clustering 3 tens of thousands of data points by using a clustering method after abnormal values are removed, verifying to find that the data are clustered into 7 types with the best effect, wherein the group with the largest 3 data points occupies 87% of the total data points, merging the combined data with the largest 3 data points, calculating the upper and lower limit intervals of the data by using a box diagram algorithm, and finally determining that the range of the urea fuel consumption ratio normal interval of the vehicle model is 3.3% -7.1% by large data, namely, the threshold range of verification parameters is 3.3% -7.1%.
When a verification request signal is received, as the verification period is longer, the verification model is automatically imported from the server to monitor the urea fuel consumption ratio, when the vehicle operates in a specified time or in a specified mileage process, the urea fuel consumption ratio is in a configured normal interval range, namely, the maintenance is considered to be effective, and a maintenance result is returned to the mobile terminal.
As shown in fig. 2, the embodiment of the present application further provides a vehicle maintenance result verification device, including:
a request signal receiving module 1, configured to receive an authentication request signal sent by a mobile terminal; wherein the verification request signal comprises a vehicle maintenance project and a verification period thereof;
the verification condition acquisition module 2 is used for acquiring a verification model and a verification condition corresponding to the vehicle maintenance project from a server if the verification period is larger than a set time threshold;
the data acquisition task generating module 3 is used for generating a data acquisition task according to the vehicle maintenance project;
the configuration information generating module 4 is used for generating acquisition configuration information of the vehicle according to the data acquisition task and sending the acquisition configuration information to the T-BOX equipment;
the collected data verification module 5 is used for receiving collected data returned by the T-BOX equipment, inputting the collected data into the verification model to obtain verification parameters, and judging whether the verification parameters meet verification conditions or not;
and the vehicle maintenance result acquisition module 6 is used for judging that the vehicle maintenance is successful if the verification parameters always meet the verification conditions, and feeding back the vehicle maintenance verification result to the mobile terminal.
It should be noted that, when the vehicle maintenance result verification apparatus provided in the foregoing embodiment performs the vehicle maintenance result verification method, only the division of the foregoing functional modules is used as an example, in practical application, the foregoing functional allocation may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to complete all or part of the functions described above. In addition, the vehicle maintenance result verification device and the vehicle maintenance result verification method provided in the foregoing embodiments belong to the same concept, which embody the implementation process in detail in the method embodiment, and are not repeated here.
The embodiment of the application also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the vehicle maintenance result verification method according to any one of the above.
The present invention may take the form of a computer program product embodied on one or more storage media (including, but not limited to, magnetic disk storage, CD-ROM, optical storage, etc.) having program code embodied therein. Computer-readable storage media include both non-transitory and non-transitory, removable and non-removable media, and information storage may be implemented by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to: phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium, may be used to store information that may be accessed by the computing device.
The embodiment of the application also provides a vehicle diagnosis system, which comprises a memory, a processor and a computer program stored in the memory and executable by the processor, wherein the steps of the vehicle maintenance result verification method are realized when the processor executes the computer program.
According to the vehicle maintenance result verification method, the TBOX equipment of the vehicle is utilized to conduct data monitoring, manual vehicle following is replaced, maintenance result verification cost is reduced, a method used by manufacturer technicians for vehicle following is converted into an on-line analysis model, the specificity of maintenance result verification is guaranteed, meanwhile, data are monitored and calculated in real time, manual misjudgment and missed judgment are avoided, and the verification result is guaranteed to be more accurate through means such as manual experience combined with big data analysis to be accurate in threshold range.
The present invention is not limited to the above-described embodiments, but, if various modifications or variations of the present invention are not departing from the spirit and scope of the present invention, the present invention is intended to include such modifications and variations as fall within the scope of the claims and the equivalents thereof.
Claims (10)
1. The vehicle maintenance result verification method is characterized in that a T-BOX device is arranged on a vehicle;
the vehicle maintenance result verification method comprises the following steps:
receiving a verification request signal sent by a mobile terminal; wherein the verification request signal comprises a vehicle maintenance project and a verification period thereof;
if the verification period is greater than a set time threshold, obtaining a verification model and verification conditions corresponding to the vehicle maintenance project from a server;
generating a data acquisition task according to the vehicle maintenance project;
generating acquisition configuration information of the vehicle according to the data acquisition task and sending the acquisition configuration information to the T-BOX equipment;
receiving acquisition data returned by the T-BOX equipment, inputting the acquisition data into the verification model to obtain verification parameters, and judging whether the verification parameters meet verification conditions or not;
and if the verification parameters always meet the verification conditions, judging that the vehicle maintenance is successful, and feeding back a vehicle maintenance verification result to the mobile terminal.
2. The vehicle maintenance result verification method according to claim 1, further comprising, after the step of receiving the verification request signal transmitted by the mobile terminal:
if the verification period is less than or equal to a set time threshold;
acquiring maintenance data corresponding to the vehicle maintenance project;
generating a prompt signal for reminding a user to control the vehicle to execute corresponding operation according to the vehicle maintenance project;
collecting verification data after a user executes corresponding operation;
and comparing the verification data with the maintenance data to determine whether the vehicle is successfully maintained.
3. The method for verifying the maintenance results of a vehicle according to claim 1, wherein the collected data returned from the T-BOX device is operation data of the vehicle in a verification period or in a verification mileage.
4. A vehicle maintenance result verification method according to claim 3, wherein the verification conditions include a verification parameter threshold range and a verification period of vehicle operation;
the step of judging whether the verification parameters meet the verification conditions comprises the following steps:
and in the verification period, if the verification parameter is always within the verification parameter threshold range, judging that the verification parameter meets the verification condition.
5. A vehicle maintenance result verification method according to claim 3, wherein the verification conditions include a verification parameter threshold range and a verification mileage of vehicle operation;
the step of judging whether the verification parameters meet the verification conditions comprises the following steps:
and in the verification mileage, if the verification parameter is always within the verification parameter threshold range, judging that the verification parameter meets the verification condition.
6. The vehicle maintenance result verification method according to claim 4 or 5, wherein the verification parameter threshold range is a first verification parameter threshold range obtained based on expert experience and/or bench test.
7. The vehicle maintenance result verification method according to claim 6, wherein the verification request signal further includes a vehicle model number;
before the step of acquiring the verification condition corresponding to the vehicle maintenance item from the server, the method further includes:
acquiring historical data corresponding to the vehicle model and the vehicle maintenance project, and removing outliers in the historical data;
clustering the historical data by using a clustering algorithm, and selecting the first N categories with the most data points for data merging; wherein N is less than the number of clusters;
acquiring a distribution interval of the combined data by using a box diagram algorithm to obtain a second verification parameter threshold range;
and if the second verification parameter threshold range is smaller than the first verification parameter threshold range, taking the second verification parameter threshold range as a verification parameter threshold range.
8. The vehicle maintenance result verification device is characterized in that a T-BOX device is arranged on the vehicle;
the vehicle maintenance result verification apparatus includes:
the request signal receiving module is used for receiving a verification request signal sent by the mobile terminal; wherein the verification request signal comprises a vehicle maintenance project and a verification period thereof;
the verification condition acquisition module is used for acquiring a verification model and a verification condition corresponding to the vehicle maintenance project from a server if the verification period is larger than a set time threshold;
the data acquisition task generating module is used for generating a data acquisition task according to the vehicle maintenance project;
the configuration information generation module is used for generating acquisition configuration information of the vehicle according to the data acquisition task and sending the acquisition configuration information to the T-BOX equipment;
the acquisition data verification module is used for receiving acquisition data returned by the T-BOX equipment, inputting the acquisition data into the verification model to obtain verification parameters, and judging whether the verification parameters meet verification conditions or not;
and the vehicle maintenance result acquisition module is used for judging that the vehicle maintenance is successful if the verification parameters always meet the verification conditions and feeding back the vehicle maintenance verification result to the mobile terminal.
9. A computer-readable storage medium having stored thereon a computer program, characterized by: the computer program, when executed by a processor, implements the steps of the vehicle repair result verification method as claimed in any one of claims 1 to 7.
10. A vehicle diagnostic system characterized by: comprising a memory, a processor and a computer program stored in the memory and executable by the processor, the processor implementing the steps of the vehicle repair result verification method according to any one of claims 1 to 7 when the computer program is executed.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110003171.XA CN112699490B (en) | 2021-01-04 | 2021-01-04 | Vehicle maintenance result verification method and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110003171.XA CN112699490B (en) | 2021-01-04 | 2021-01-04 | Vehicle maintenance result verification method and device |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112699490A CN112699490A (en) | 2021-04-23 |
CN112699490B true CN112699490B (en) | 2024-04-09 |
Family
ID=75514501
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110003171.XA Active CN112699490B (en) | 2021-01-04 | 2021-01-04 | Vehicle maintenance result verification method and device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112699490B (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115842686B (en) * | 2023-02-21 | 2023-05-12 | 深圳桥通物联科技有限公司 | Processing and verifying method and system for remote dynamic data |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2012093309A (en) * | 2010-10-28 | 2012-05-17 | Honda Motor Co Ltd | Failure diagnosis method and failure diagnostic device |
CN108776452A (en) * | 2018-05-25 | 2018-11-09 | 李智彤 | A kind of special equipment scene maintenance monitoring method and system |
KR101941279B1 (en) * | 2017-08-29 | 2019-01-22 | 한국수력원자력 주식회사 | Method for Verificating quality of mechanical governor of emergency diesel generator |
CN111399464A (en) * | 2020-04-08 | 2020-07-10 | 中车青岛四方机车车辆股份有限公司 | Intelligent vehicle quality inspection method and system |
CN112009719A (en) * | 2019-05-13 | 2020-12-01 | 波音公司 | Method for inspecting and repairing a structure and unmanned aerial vehicle |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101545984B1 (en) * | 2013-05-16 | 2015-08-21 | 현대하이카손해사정 주식회사 | System for verifying details of car maintenance and method thereof |
CN105260529B (en) * | 2015-09-30 | 2018-07-03 | 西安航空制动科技有限公司 | The verification method of airplane brake system mean repair time |
CN108171346B (en) * | 2018-01-25 | 2022-03-29 | 中广核核电运营有限公司 | Method and device for processing instrument control maintenance data of nuclear power plant and computer equipment |
CN108470218A (en) * | 2018-03-27 | 2018-08-31 | 上海复旦后勤服务发展有限公司 | Public utility operation management system |
CN108416534A (en) * | 2018-03-27 | 2018-08-17 | 上海复旦后勤服务发展有限公司 | Common equipment operation management system |
-
2021
- 2021-01-04 CN CN202110003171.XA patent/CN112699490B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2012093309A (en) * | 2010-10-28 | 2012-05-17 | Honda Motor Co Ltd | Failure diagnosis method and failure diagnostic device |
KR101941279B1 (en) * | 2017-08-29 | 2019-01-22 | 한국수력원자력 주식회사 | Method for Verificating quality of mechanical governor of emergency diesel generator |
CN108776452A (en) * | 2018-05-25 | 2018-11-09 | 李智彤 | A kind of special equipment scene maintenance monitoring method and system |
CN112009719A (en) * | 2019-05-13 | 2020-12-01 | 波音公司 | Method for inspecting and repairing a structure and unmanned aerial vehicle |
CN111399464A (en) * | 2020-04-08 | 2020-07-10 | 中车青岛四方机车车辆股份有限公司 | Intelligent vehicle quality inspection method and system |
Non-Patent Citations (2)
Title |
---|
一款汽车维修进厂检验程序软件的研发;马振勇;;汽车维护与修理(15);全文 * |
汽车维修质量监管措施研究;杨一兰;;时代汽车(11);全文 * |
Also Published As
Publication number | Publication date |
---|---|
CN112699490A (en) | 2021-04-23 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103135515B (en) | Diagnostic method for vehicle condition | |
CN107918382B (en) | Automobile fault diagnosis method, automobile fault diagnosis device and electronic equipment | |
CN102096760B (en) | Detecting anomalies in field failure data | |
CN111823952B (en) | Battery cell temperature diagnosis method, storage medium and electronic equipment | |
US20170024943A1 (en) | System and Method for Service Assessment | |
CN102375452B (en) | Event-driven data mining method for improving fault code settings and isolating faults | |
CN106406273A (en) | Method for determining the cause of failure in a vehicle | |
CN111781911A (en) | Automobile remote diagnosis method and system | |
CN111241154A (en) | Storage battery fault early warning method and system based on big data | |
CN108053075B (en) | Scrapped vehicle prediction method and system | |
CN110633905B (en) | Intelligent Che Yun platform reliability calculation method and system | |
CN110471395B (en) | Fault detection method, device, equipment and storage medium | |
JP2018073363A (en) | Vehicle operation data acquisition apparatus, vehicle operation data acquisition system, and vehicle operation data acquisition method | |
CN116880454A (en) | Intelligent diagnosis system and method for vehicle faults | |
CN112699490B (en) | Vehicle maintenance result verification method and device | |
CN109894476B (en) | Fault diagnosis method and device for hydraulic equipment of cold-rolled silicon steel production line | |
WO2022237266A1 (en) | Method, apparatus and device for determining vehicle maintenance information, and medium | |
CN112345869A (en) | Automobile electronic equipment testing method and system, electronic equipment and storage medium | |
CN112859805A (en) | Engine controller online diagnosis method and related device | |
CN113640594A (en) | Method and system for rapidly detecting state of charging system | |
CN111207932A (en) | Motor vehicle exhaust monitoring method and related equipment | |
CN115933619A (en) | Remote diagnosis method, system, electronic equipment and storage medium | |
CN114858480A (en) | Component fault early warning method, device, equipment and medium applied to vehicle | |
CN113888775A (en) | Vehicle early warning method, server, storage medium, vehicle early warning system and vehicle | |
CN116691715B (en) | Vehicle starting difficulty identification method and system based on Internet of Vehicles big data |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |