Intelligent automobile maintenance data acquisition system

Abstract

The invention discloses an intelligent automobile maintenance data acquisition system. The system comprises an Android device and a peripheral data acquisition module; the peripheral data acquisitionmodule is directly connected with the Android device through an embedded structure, and the peripheral data acquisition module exchanges data with the Android device in a USB mode; the peripheral dataacquisition module is used for signal acquisition, signal conditioning and USB conversion; the Android device is used for 5V power supply, data display, data processing and data application. According to the invention, an Internet of Things technology, an artificial intelligence technology, big data and a cloud computing technology are used; various problems existing in the current automobile maintenance site are solved; stray data are changed into centralized management, manual recording is changed into automatic acquisition, random operation is changed into a standard process, maintenance records are changed into vehicle inspection reports, experience inference is changed into algorithm judgment, and technology exclusion is changed into common progress, so that automobile maintenance enterprises are helped improve core competitiveness and adapt to continuous changes of automobile maintenance markets.

Description

technical field [0001] The invention relates to the field of automobile maintenance, in particular to an intelligent collection system for automobile maintenance data. Background technique [0002] Automobile maintenance refers to the process of carrying out a new maintenance process for automobiles by using special nursing materials and products of different properties according to the maintenance conditions required by different materials in various parts of the vehicle. Today's car maintenance covers the maintenance range of engines, gearboxes, chassis, cooling systems, fuel systems, etc. Car maintenance is the trend and focus of the automotive aftermarket. "Seven points for maintenance and three points for repairs" is accepted by more and more car owners. [0003] In the existing technology, the automobile maintenance industry has the following problems: 1. The detection data can be discarded as soon as it is used: in the detection process of the automobile maintenance ...

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, the automobile maintenance industry has the following problems: 1. The detection data can be discarded at any time: in the detection process of the automobile maintenance site, most of the obtained data are discarded at any time

Technicians can get all kinds of data through testing instruments and tools. Since there is no data management platform to analyze and store, they just make judgments based on experience or model manuals and then discard them, resulting in a waste of a lot of first-hand data

2. The operation method is original and single: For many years, most of the car maintenance operations have been such a process: the vehicle enters the factory --> the service consultant communicates with the car owner to determine the price according to the item type and manually open the car receipt for the front desk information input --> the front desk Send a work order to the maintenance technician according to the pick-up information according to the station --> the maintenance technician makes a test based on the work order item and then gives a maintenance plan (the original item + the cost of the new item) and facilitates the transaction --> operation / Test drive / purchase / delivery

Some pick-up orders or dispatch orders are still very meticulously designed ( Figure 1 / figure 2 ), but in practical applications, most of them are mere formalities without recording or entering at will, which will affect the accuracy and completeness of the information entered in the front-end ERP system

4. High cost and low efficiency: the structure of front-line personnel in most automobile maintenance enterprises today is still the traditional master (technician) + small worker (apprentice) model, and the salary difference is several times

On the other hand, because the company does not have effective supervision and incentives for technicians to do routine inspections, the work process depends entirely on the status of the technicians.

This is also one of the reasons why most maintenance companies have high labor costs and low efficiency.

5. Random operation and chaotic standards: due to the certain mobility of technicians in car companies, new technicians and original technicians have different operating habits and vehicle inspection standards, resulting in the current inspection and maintenance practices of various car companies. together

In addition, most car companies do not have a training department, so they cannot effectively train and manage operating specifications and technical standards. Different technicians produce different car inspection results, resulting in irregular operations and non-standard inspections.

These chaos gave car owners a very unprofessional feeling, and at the same time restricted the development of the company itself

6. High randomness in vehicle inspection: At present, most of the technicians are "handling" for the vehicle inspection. The reason is that the technician has to fill in the checklist after the inspection. The checklist filled out has too many technical terms and can only be described in words. Most of the car owners do not understand the contents of the checklist, and doubt whether there is a need for maintenance and treatment of the reported fault items, and the car owners will not deal with the reported fault items in time

As a result, maintenance fees or working hours cannot be incurred, and the income of technicians cannot be directly increased, resulting in technicians losing interest in vehicle inspections, looking around casually, and coping with the mentality of inspections

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