Intelligent automobile maintenance data acquisition system

A technology of acquisition system and data acquisition module, applied in general control system, control/regulation system, registration/indication of vehicle operation, etc. The effect of improving core competitiveness, reducing procurement costs and being easy to manage

Pending Publication Date: 2020-09-01
四川知车科技有限公司
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Intelligent automobile maintenance data acquisition system
  • Intelligent automobile maintenance data acquisition system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] Such as Figure 1 to Figure 2 As shown, the automobile maintenance data intelligent acquisition system includes an Android device and a peripheral data acquisition module, the peripheral data acquisition module adopts an embedded structure to directly connect with the Android device, and the peripheral data acquisition module is connected to the Android device in a USB mode Exchanging data; the peripheral data acquisition 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;

[0044] The peripheral data acquisition module can automatically collect data, automatically store and automatically upload cloud database, including brake oil detection module, battery detection module, wind speed and temperature detection module, sonar detection module, illuminance detection module, wheel data collection module, USB Endoscope module, OBD module;

[0045]...

Embodiment 2

[0055] Such as Figure 1 to Figure 2 As shown, the difference between this embodiment and Embodiment 1 is that the signal acquisition of the peripheral data acquisition module is realized by a sensor, and the corresponding sensor device is selected according to the acquisition object, and the module corresponding to the sensor interface and the peripheral data acquisition module The signal conditioning unit and the USB conversion unit of the instrument are designed on the same circuit board; the signal conditioning of the peripheral data acquisition module passes through each module inside the instrument according to the characteristics of various sensor signals, and the signal conversion is realized by different signal conditioning modules, including :

[0056] Current signal conditioning, the commonly used sensor current signals of 0-20mA or 4-20mA are adjusted to a voltage signal of 0-5V, which is supplied to the input port of the subsequent A / D converter;

[0057] Voltage...

Embodiment 3

[0063] Such as Figure 1 to Figure 2 As shown, the peripheral data acquisition module also includes a pH value detection module, a temperature and humidity detection module, a current detection module, a light transmission detection module, a coating thickness detection module, an infrared temperature detection module and a torque detection module;

[0064] The PH value detection module is used to quickly detect the pH of the antifreeze solution of the automobile engine, and the PH value detection module is embedded in the Android device, and transmits data through USB communication;

[0065] The temperature and humidity detection module is used to quickly measure the temperature and humidity around the vehicle and in the cab, the temperature and humidity detection module is embedded in the Android device, and transmits data through USB communication;

[0066] The current detection module is used to quickly measure the starting current, charging current, electrical appliance o...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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 ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/042G01D21/02G07C5/00G07C5/08
CPCG05B19/0423G07C5/008G07C5/085G01D21/02G05B2219/25257
Inventor 陈晓云蒋显春徐湘
Owner 四川知车科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products