CN116151809B - Personalized detection item generation method and system suitable for vehicle detection of maintenance factory - Google Patents
Personalized detection item generation method and system suitable for vehicle detection of maintenance factory Download PDFInfo
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- CN116151809B CN116151809B CN202310428306.6A CN202310428306A CN116151809B CN 116151809 B CN116151809 B CN 116151809B CN 202310428306 A CN202310428306 A CN 202310428306A CN 116151809 B CN116151809 B CN 116151809B
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Abstract
The invention discloses a personalized detection item generation method and a personalized detection item generation system suitable for vehicle detection in a maintenance factory, wherein the method comprises the steps of judging whether a vehicle needs maintenance, judging service item and detection item mapping and generating personalized detection items of vehicles entering the factory; according to the invention, the vehicle detection items are carded and defined through the full detection item library, the problem that the detection items are not uniform and standard is avoided, and the configuration of the configuration platform to the strategy can well adapt to various personalized requirements of a maintenance factory.
Description
Technical Field
The invention relates to the technical field of big data calculation, in particular to a personalized detection item generation method and a personalized detection item generation system suitable for vehicle detection in a maintenance factory.
Background
The automobile maintenance factory is a place specially used for automobile maintenance repair, namely, the automobile is cleaned regularly, parts are inspected and lubricated, damaged parts are replaced and maintained, and the like.
In order to improve the detection efficiency of the vehicle, some auto repair factories start to apply repair management software in the detection process, but the existing repair management software has single functions, the detection projects are generally aggregated together in the form of a preset template, an auto repair technician sequentially inspects the vehicle according to the content of the detection template, and the detection result is stored, wherein the template definition mainly comprises the following forms:
1. full detection item: detection items including all vehicle parts such as an air conditioning system, an engine compartment, a transmission, a brake system, and tires;
2. special detection item: according to the system of the automobile, for example, only detection items such as engine oil, spark plugs, air filters and the like are configured for the maintenance of the automobile, and detection items such as tire patterns, tire treads, tire pressures and the like are configured for the replacement of tires;
3. simplifying the detection project: aiming at the defect of excessive total detection projects, a maintenance factory can combine the self detection experience according to industry experience, and keep the detection projects which are basically needed to be done after the vehicle enters the factory;
there are several problems with the template definition described above:
1. the vehicle detection time is long: for a full volume of test items, up to 100 test items, the technician spends a significant amount of time in the test process;
2. it is easy to cause overdetection: the detection items of the fixed detection templates are easy to cause the irrelevant detection of the service items of the present factory entry, such as the current tire replacement items, and the detection items of the engine compartment are also arranged in the templates;
3. the detection flow is disordered: the special detection project template has no defect of full detection, but can cause fragmentation of the detection process, a technician switches back and forth among a plurality of detection documents in the detection process, and the detection process cannot be smoothly executed;
4. easily cause missing detection: the simplified detection project is seen to be that all the systems of the vehicle are detected, and in fact, only certain parts of the vehicle systems are detected, for example, the detection of a brake system usually comprises a brake pad and a brake disc, and a vacuum pump is rarely placed in a detection template;
5. the detection template cannot be suitable for local conditions: for a regional chain maintenance factory, different detection project requirements can be possibly generated in different places, and the single template mode is difficult to cope with the use situation;
therefore, the invention provides a personalized detection item generation method and a personalized detection item generation system suitable for vehicle detection in a maintenance factory, which are used for solving the problems in the prior art.
Disclosure of Invention
Aiming at the problems, the invention aims to provide a personalized detection item generation method and a personalized detection item generation system suitable for vehicle detection in a maintenance factory, and solves the problems that the detection efficiency of a store is low due to too many detection items and too long detection process in the vehicle entering factory in the existing automobile maintenance factory.
In order to achieve the purpose of the invention, the invention is realized by the following technical scheme: the personalized detection item generation method suitable for the vehicle detection of the maintenance factory comprises the following steps:
step one: defining all vehicle detection items in a maintenance factory through a full detection item library, performing strategy configuration and detection activity configuration through a configuration platform, calculating vehicle information and service item information of vehicles entering the factory through a big data calculation platform, and judging whether the vehicles entering the factory need maintenance or not according to the type of the vehicles, the driving mileage and the vehicle age;
step two: if the maintenance judging result in the first step judges that maintenance is needed, mapping judgment of service items and detection items of the vehicles in the factory is carried out, and if the maintenance judging result in the first step judges that maintenance is not needed, corresponding selection detection items and necessary detection items are generated according to the last detected data of the vehicles in the factory;
step three: and step two, according to the service item and the detection item mapping judgment of the in-service vehicle in the step two, dividing the detection item of the in-service vehicle into a detection item in the mapping and a detection item in the non-mapping, and generating a personalized detection item of the in-service vehicle according to the obtained detection item in the mapping and the detection item in the non-mapping.
The further improvement is that: in the first step, the maintenance type refers to that the service items are engine oil filter replacement and engine oil, air and air conditioner three filters replacement, judging whether the vehicle in the factory needs maintenance or not, if the vehicle is of maintenance type, detecting the priority of the project strategy in the mapping as follows: the vehicle type judgment > last detection result > mileage judgment > vehicle age judgment, and the priority of the detection item strategy in the unmapped is as follows: vehicle type judgment > last detection result > must check > mileage judgment > vehicle age judgment.
The further improvement is that: in the first step, when the driving mileage of the vehicle in the factory is judged, if the driving mileage is less than the non-inspection mileage, the detection item is selected for inspection, if the driving mileage is more than or equal to the non-inspection mileage, the detection item is necessary for inspection, when the driving age of the vehicle in the factory is judged, if the current date of the vehicle is less than the registration date of the vehicle, the detection item is selected for inspection, and if the current date of the vehicle is more than or equal to the registration date of the vehicle, the detection item is necessary for inspection.
The further improvement is that: in the third step, when the personalized detection project of the vehicle in the factory is generated, strategies including vehicle type judgment, last detection judgment, inspection-free kilometer judgment, inspection-free vehicle age judgment and whether inspection is necessary or not are carried out.
The personalized detection item generation system suitable for vehicle detection in a maintenance factory comprises a full detection item library, a configuration platform and a big data calculation platform, wherein the configuration platform is respectively connected with the full detection item library and the big data calculation platform in a wireless mode, the full detection item library is used for defining all vehicle detection items in an automobile maintenance factory, the configuration platform is used for strategically configuring and detecting activity configuration and strategically detecting the attribute of the activity falling to the vehicle detection items, the big data calculation platform calculates the vehicle information and the service item information of the vehicle entering the factory and marks the detection items to generate personalized detection items including the necessary detection items and the unnecessary detection items, and the big data calculation platform comprises a service item judgment module used for judging the type of the service items of the vehicle, a vehicle judgment module used for judging the type of the vehicle, a mileage judgment module used for judging the service years of the vehicle, a detection item judgment module used for judging whether the detection items are necessary detection items and a last detection judgment module used for judging whether the detection items are necessary detection items.
The further improvement is that: the data structure of the detection items defined by the full detection item library is a detection major class, a detection minor class and detection items, and the attributes of the detection items comprise detection item codes, non-detection kilometers, non-detection time and detection item results.
The further improvement is that: the configuration platform carries out strategy configuration and detection activity configuration according to the attributes of the vehicles entering the factory, wherein the vehicle attributes comprise vehicle types, inspection-free vehicle ages and inspection-free mileage, the strategy configuration comprises the relation between service items and detection items, whether detection is recommended to be carried out or not and whether judgment is carried out according to the last detection result of the vehicles, and the detection activity configuration carries out detection items on specific activities.
The further improvement is that: the vehicle judging module judges whether the vehicle entering the factory is an oil car or an electric car by inquiring a vehicle model library, the mileage judging module judges the driving mileage of the vehicle according to an odometer of the vehicle entering the factory, and the vehicle age judging module judges the vehicle age according to the registration date of the vehicle.
The beneficial effects of the invention are as follows: according to the invention, the problem that the detection items are not uniform and standard is avoided by combing and defining the vehicle detection items through the full detection item library, various personalized requirements of a maintenance factory can be well adapted through configuration of the configuration platform on the strategy, in addition, the problems that the detection items are too many in the vehicle factory entering and the detection process is overlong in the maintenance factory entering and detecting process are solved through calculation of a big data model of the big data calculation platform according to factors such as vehicle types, mileage, vehicle age, last detection result, service items of the current shop entering and the like, the detection items which are necessary and not necessary are intelligently recommended, the detection items which are necessary to be detected in the factory entering and the detection items which are necessary to be detected each time can be dynamically generated according to the vehicle attribute and the configuration of the strategy, the one-vehicle inspection is realized, the technician inspection time is shortened, the detection efficiency is improved, and the detection accuracy is also improved.
Drawings
FIG. 1 is a flow chart of a generating method according to a first embodiment of the invention;
fig. 2 is a schematic diagram of a generating system according to a second embodiment of the present invention.
Description of the embodiments
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present embodiment provides a personalized inspection item generation method suitable for inspection of a repair shop vehicle, including the steps of:
step one: defining all vehicle detection items in a maintenance factory through a full detection item library, performing strategy configuration and detection activity configuration through a configuration platform, calculating vehicle information and service item information of vehicles entering the factory through a big data calculation platform, and judging whether the vehicles entering the factory need maintenance according to the type of the vehicles, the driving mileage and the vehicle age, wherein the maintenance type refers to three types of filtering for replacing engine oil and three types of filtering for replacing engine oil, air and air conditioner;
judging whether the vehicle in the factory needs maintenance or not, if the vehicle is of maintenance type, detecting the priority of the project strategy in the mapping as follows: the vehicle type judgment > last detection result > mileage judgment > vehicle age judgment, and the priority of the detection item strategy in the unmapped is as follows: judging the type of the vehicle, judging whether the last detection result is detected, judging the mileage, and judging the vehicle age;
when the vehicle driving mileage of the factory is judged, if the vehicle mileage is less than the inspection-free mileage, the detection item is selected for inspection, if the vehicle mileage is more than or equal to the inspection-free mileage, the detection item is necessary for inspection, when the vehicle age of the factory is judged, if the current date of the vehicle is less than the inspection-free age of the vehicle, the detection item is selected for inspection, and if the current date of the vehicle is more than or equal to the registration date of the vehicle, the detection item is necessary for inspection;
step two: if the maintenance judging result in the first step judges that maintenance is needed, mapping judgment of service items and detection items of the vehicles in the factory is carried out, and if the maintenance judging result in the first step judges that maintenance is not needed, corresponding selection detection items and necessary detection items are generated according to the last detected data of the vehicles in the factory;
step three: according to the service item and the detection item mapping judgment of the in-service vehicle in the second step, the detection items of the in-service vehicle are divided into in-mapping detection items and non-mapping detection items, and personalized detection items of the in-service vehicle are generated according to the obtained in-mapping detection items and the non-mapping detection items, and when personalized detection items of the in-service vehicle are generated, strategies including vehicle type judgment, last detection judgment, no-inspection kilometer judgment, no-inspection vehicle age judgment and no-inspection judgment are carried out.
In this embodiment, when judging whether the detected item is a necessary detection, the logic for detecting the relationship data of major class-minor class-detected item-necessary detection is followed, and the recommended logic is as follows: if the item is hit, the item is detected, and if the item is not hit, other rules are executed to continue judgment.
In this embodiment, when judging the last detection result, the logic of detecting item-normal/abnormal-arrival time-detection time is followed, wherein the normal meaning has two kinds, respectively: the last time normal detection and last time abnormal detection are performed, but the completed work order has corresponding service items, and the recommendation logic is as follows: the detection item has the last detection data within 30 days, if normal, the detection item is selected, and if abnormal, the detection item is necessary.
Referring to fig. 2, the present embodiment provides a personalized inspection item generating system suitable for inspection of a vehicle in a repair shop, characterized in that: the system comprises a full detection item library, a configuration platform and a big data computing platform, wherein the configuration platform is respectively and wirelessly connected with the full detection item library and the big data computing platform, the full detection item library is wirelessly connected with the big data computing platform, the full detection item library is used for defining all vehicle detection items in an automobile maintenance factory, the data structure of the full detection item library is a detection major class, a detection minor class and a detection item, and the attributes of the detection items comprise detection item codes, inspection-free kilometers, inspection-free time, detection item result options and the like;
the configuration platform is used for policy configuration and activity configuration detection, and the policy and the activity fall into the attribute of a vehicle detection item, the configuration platform carries out policy configuration and activity configuration detection according to the vehicle attribute of a factory entering, the vehicle attribute comprises a vehicle type, a vehicle age without inspection and a mileage without inspection, the policy configuration comprises the relation between a service item and a detection item, whether detection is recommended, and whether judgment is carried out according to the last detection result of the vehicle, and the activity configuration operation configuration detection item is detected to a specific activity;
the big data computing platform calculates vehicle information and service item information of a vehicle entering a factory and marks the detection items to generate personalized detection items including the items to be detected and the items not to be detected, the big data computing platform comprises a service item judging module for judging the type of the service items of the vehicle, a vehicle judging module for judging the type of the vehicle, a mileage judging module for judging the driving mileage of the vehicle, a vehicle age judging module for judging the service life of the vehicle, a detection item judging module for judging whether the detection items are to be detected or not and a last detection judging module for judging the last detection data, wherein the vehicle judging module judges whether the vehicle entering the factory is an oil vehicle or an electric vehicle by inquiring a vehicle model base, and the mileage judging module judges the driving mileage of the vehicle according to a mileage table of the vehicle entering the factory and judges the service life of the vehicle according to the registration date of the vehicle.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (6)
1. The personalized detection item generation method suitable for the vehicle detection of the maintenance factory is characterized by comprising the following steps of:
step one: defining all vehicle detection items in a maintenance factory through a full detection item library, carrying out strategy configuration and detection activity configuration through a configuration platform, calculating vehicle information and service item information of vehicles entering the factory through a big data calculation platform, judging whether the vehicles entering the factory need maintenance according to vehicle types, driving mileage and vehicle age, wherein the maintenance type refers to three filtering of a service item for replacing engine oil and engine oil, air and an air conditioner, judging whether the vehicles entering the factory need maintenance or not, and if the vehicles entering the factory need maintenance, judging the priority of the detection item strategy in the mapping is as follows: the vehicle type judgment > last detection result > mileage judgment > vehicle age judgment, and the priority of the detection item strategy in the unmapped is as follows: judging whether the last detection result is required to be checked or not and judging the vehicle age, when judging the driving mileage of the vehicle in a factory, selecting the detection item if the driving mileage is less than the non-checking mileage, if the driving mileage is more than or equal to the non-checking mileage, selecting the detection item if the driving mileage is more than or equal to the non-checking mileage, and if the current date of the vehicle is more than or equal to the registration date of the vehicle and the non-checking vehicle age, selecting the detection item if the current date of the vehicle is more than or equal to the registration date of the vehicle and the non-checking vehicle age;
step two: if the maintenance judging result in the first step judges that maintenance is needed, mapping judgment of service items and detection items of the vehicles in the factory is carried out, and if the maintenance judging result in the first step judges that maintenance is not needed, corresponding selection detection items and necessary detection items are generated according to the last detected data of the vehicles in the factory;
step three: and step two, according to the service item and the detection item mapping judgment of the in-service vehicle in the step two, dividing the detection item of the in-service vehicle into a detection item in the mapping and a detection item in the non-mapping, and generating a personalized detection item of the in-service vehicle according to the obtained detection item in the mapping and the detection item in the non-mapping.
2. The personalized inspection item generation method suitable for inspection of vehicles in a repair shop according to claim 1, wherein: in the third step, when the personalized detection project of the vehicle in the factory is generated, strategies including vehicle type judgment, last detection judgment, inspection-free kilometer judgment, inspection-free vehicle age judgment and whether inspection is necessary or not are carried out.
3. A personalized inspection item generating system adapted for inspection of a vehicle in a repair shop for implementing the method of claim 1 or 2, characterized by: the system comprises a full detection item library, a configuration platform and a big data computing platform, wherein the configuration platform is respectively in wireless connection with the full detection item library and the big data computing platform, the full detection item library is in wireless connection with the big data computing platform, the full detection item library is used for defining all vehicle detection items in an automobile maintenance factory, the configuration platform is used for strategically configuring and detecting activity configuration, strategically configuring and detecting the attribute of the vehicle detection items, the big data computing platform calculates the vehicle information and service item information of the vehicles entering the factory and marks the detection items, personalized detection items including the necessary detection items and the unnecessary detection items are generated, and the big data computing platform comprises a service item judging module used for judging the type of the vehicle service items, a vehicle judging module used for judging the type of the vehicle, a mileage judging module used for judging the running mileage of the vehicle, a vehicle age judging module used for judging whether the detection items are necessary detection items and a last detection judging module used for judging the last detection data.
4. A personalized inspection item generating system adapted for inspection of a repair shop vehicle according to claim 3, wherein: the data structure of the detection items defined by the full detection item library is a detection major class, a detection minor class and detection items, and the attributes of the detection items comprise detection item codes, non-detection kilometers, non-detection time and detection item results.
5. A personalized inspection item generating system adapted for inspection of a repair shop vehicle according to claim 3, wherein: the configuration platform carries out strategy configuration and detection activity configuration according to the attributes of the vehicles entering the factory, wherein the vehicle attributes comprise vehicle types, inspection-free vehicle ages and inspection-free mileage, the strategy configuration comprises the relation between service items and detection items, whether detection is recommended to be carried out or not and whether judgment is carried out according to the last detection result of the vehicles, and the detection activity configuration carries out detection items on specific activities.
6. A personalized inspection item generating system adapted for inspection of a repair shop vehicle according to claim 3, wherein: the vehicle judging module judges whether the vehicle entering the factory is an oil car or an electric car by inquiring a vehicle model library, the mileage judging module judges the driving mileage of the vehicle according to an odometer of the vehicle entering the factory, and the vehicle age judging module judges the vehicle age according to the registration date of the vehicle.
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| CN108628902A (en) * | 2017-03-23 | 2018-10-09 | 北京爱德盛业科技有限公司 | A kind of Motor Maintenance Digital Detecting report-generating method and system based on cloud platform |
| US12008455B2 (en) * | 2019-06-18 | 2024-06-11 | Driverbase Inc. | Personalized vehicle recommender system |
| CN112001509B (en) * | 2020-08-31 | 2024-04-09 | 南京爱福路汽车科技有限公司 | Intelligent bill opening recommendation system and bill opening method for automobile maintenance |
| CN113610245A (en) * | 2021-05-11 | 2021-11-05 | 南京爱福路汽车科技有限公司 | Service reminding method for managing multiple vehicle types and multiple items in after-market maintenance store |
| CN115775069A (en) * | 2021-09-07 | 2023-03-10 | 广西金奔腾车联网科技有限公司 | Method and system for detecting automobile movement |
| CN113822447A (en) * | 2021-09-23 | 2021-12-21 | 深圳市星卡科技有限公司 | Intelligent detection method and device for automobile maintenance and vehicle-mounted equipment |
| CN114330766A (en) * | 2021-12-10 | 2022-04-12 | 重庆长安汽车股份有限公司 | Fuel automobile subentry maintenance reminding method and reminding system based on Internet of vehicles |
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