Data Compression and Transmission Method of Vehicle Monitoring Information Collection Based on CAN Bus

Data Compression and Transmission Method of Vehicle Monitoring Information Collection Based on CAN Bus

Yingji Liu, Kan Zhao, Chen Ding, Yu Yao
DOI: 10.4018/IJITN.2015040102
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Abstract

Real-time remote monitoring and fault diagnosis for commercial buses has important significance in reducing the occurrence of potential accidents. This paper presents a real-time remote monitoring system for the running state of commercial passenger buses. The vehicle Controller Area Network (CAN) bus is able to collect the information of key indicators being monitored, such as brake pressure, oil pressure and fault code. Then, the collected data are uploaded to the central remote monitoring platform through a General Packet Radio Service (GPRS) module for further analysis and decision-making. In this work, a classification based data acquisition method and a hybrid configuration data transmission method are proposed to improve the efficiency of data acquisition and transmission. The authors also proposed a Run-length based relative coding algorithm to compress the massive monitoring data. Experimental results shows the average data compression ratio is 32.17%, which effectively reduces the data transmission cost.
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System Architecture Of Data Acquisition

We take YuTong ZK6117H as the example to illustrate the vehicle CAN bus. The vehicle CAN bus is consisted by two CAN buses using different protocols: one is denoted as CANA, which is based on the SAE J1939 protocol and it is centered on electronic control diesel engine (J08E-UP); another is denoted as CANB, which is based on the Viti CAN protocol and it is centered on the whole network of the vehicle. The electronic control diesel engine has a good internal monitoring and self-diagnosis system, which is able to broadcast the real-time monitoring data and fault code in the CANA bus. The running state indicators, like the front and rear brake pressure, mileage, speed, fault of lights, brake pressure, water temperature, are mainly broadcast in CANB.

The remote state information acquisition system is realized by modular expansions in the basis of using the existing CAN network equipped on the passenger cars. The system architecture includes two man parts, as shown in figure 1.

Figure 1.

Architecture of the remote state information acquisition system

IJITN.2015040102.f01

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