Overview of Vehicle Information Self-Inspection Monitoring System Based on IoT Gateway

He Qin, Xie Yinggang, Zhao Minglang

(Beijing Information Science and Technology University, School of Information and Communication Engineering, Beijing 100101)

Abstract: In response to vehicle pollution emissions and real-time vehicle monitoring issues, a vehicle information self-inspection monitoring system based on Internet of Things (IoT) technology is designed. The system uses an OBD simulator to replace real vehicles and connect to the IoT gateway development board, simulating the car status and collecting the data for reporting, which facilitates real-time monitoring of engine operation, exhaust treatment status, fuel conditions, etc. The collected OBD data is transmitted to Huawei Elastic ECS cloud server via 4G transmission, and the data is stored in the SQL Server database. The vehicle self-inspection information reporting platform based on the IoT gateway retrieves data from the database and displays it on the platform page, allowing vehicle owners to understand the current status of their vehicles more intuitively, providing important evidence for diagnosing vehicle faults and monitoring exhaust emissions.

Keywords: Vehicle information self-inspection monitoring; IoT technology; IoT gateway; 4G transmission; OBD simulator; SQL Server

Classification number: TP391 Literature identification code: A

Article number: 2095-1302 (2022) 08-0013-02

0 Introduction

As of June 2020, the number of cars in the country has reached 360 million, of which 270 million are passenger cars. This has led to many problems, such as frequent traffic accidents and serious environmental pollution caused by exhaust emissions. To strengthen real-time status monitoring and information collection of vehicles, this paper designs and implements a vehicle self-inspection information reporting system based on the IoT gateway, using OBD to obtain real-time data of vehicles, and uploading it to the platform via the IoT gateway, facilitating monitoring of vehicle pollution emissions and sharing real-time vehicle detection results. [1-3]

1 System Design

The vehicle information self-inspection monitoring system based on the IoT gateway utilizes OBD to connect with the IoT gateway development board and obtain real-time data of the vehicle. The collected OBD data is sent to the cloud server via 4G transmission and stored in the SQL Server database. The vehicle self-inspection information reporting platform based on the IoT gateway retrieves data from the database and displays it on the platform page, allowing vehicle owners to easily understand the current data of their vehicles, providing evidence for diagnosing vehicle faults and measuring exhaust emissions. The vehicle information self-inspection system provides a good idea for the transformation and development of the automotive industry in our country.

By obtaining OBD data and positioning information via 4G mobile networks, data is transmitted to the cloud server using the TCP protocol. The service program stores the received data from the IoT gateway development board in the cloud SQL Server database, utilizing a .net written website to retrieve and display data from the database. The system framework is shown in Figure 1.

The functions of each framework of the vehicle information self-inspection monitoring system are as follows:

(1) OBD Module. It uses the OBD module to obtain vehicle information and connect with the IoT gateway development board to acquire real-time data of the vehicle. By processing the data, it facilitates users to monitor the engine’s operating status, exhaust treatment working status, fuel conditions, etc.

(2) IoT Gateway Development Board. The gateway module is a component of the system hardware, which can extract real data from the OBD, establish a TCP connection through 4G, and set up TCP listening on the cloud server side to store the read data in the database.

(3) Server. The server system can retrieve data from the database and dynamically display it on the data display page. After authentication, users can access the cloud server, visit the default server IP address, enter the login page, and view real-time vehicle data after entering their account and password.

After logging into the server via a computer, vehicle owners can enter the system to view data. The system’s web end mainly includes the following functions:

(1) Start the system;

(2) Log into Huawei cloud server;

(3) Log into local IP address;

(4) Access the vehicle information display page. The web end system process is shown in Figure 2.

In this design, the server continuously receives uploaded TCP data, the GPS module continuously obtains GPS positioning information, and the OBD module continuously obtains OBD data. The task relationship of the IoT gateway is shown in Figure 3.

2 System Implementation

The effect of the data display page dynamically showing real-time data is shown in Figure 4.

During driving, the car status (ACC, off, ignition) and specific data values (engine RPM, vehicle speed, engine coolant temperature, fuel system status, etc.) can be displayed in a list format, as shown in Figure 5.

3 Conclusion

Although our country has been committed to improving vehicle engineering technology and has achieved significant results, the gap compared to some European and American countries is still evident. The OBD technology is becoming increasingly mature, and the designed vehicle information self-inspection monitoring system can detect whether relevant vehicle components are functioning normally and calculate the emissions of exhaust gases during normal driving. At the same time, this system can also monitor the current status of the vehicle, such as whether there are faults and the causes of the faults. This system has a good effect on ensuring the safety of vehicle owners and their property, and it is of great significance for environmental protection.

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