Project Background

With the continuous improvement of manufacturing automation levels aimed at enhancing component processing precision and production efficiency while shortening product manufacturing cycles, machine replacement of human labor is becoming an inevitable trend under the pressure of rising labor costs. As Industry 4.0 continues to upgrade, the manufacturing industry, which has a high degree of automation and intelligence, is also beginning to face challenges in business model innovation. Adopting advanced logistics models and logistics technologies to optimize factories is a key means to ensure maximum productivity and minimum costs in production and manufacturing.The unmanned tractor trailer application market is experiencing rapid growth.

 

With the continuous development and maturation of autonomous driving technology, more and more enterprises and organizations are beginning to invest in and promote unmanned tractor trailer applications. Unmanned tractor trailers have enormous potential in the logistics and transportation industry, capable of improving efficiency, reducing costs, and providing safer and more reliable transportation services. The primary consideration is the maturity and reliability of technology – unmanned tractor trailers need to rely on sensors, artificial intelligence, and communication technologies to perceive and process environmental data in real-time and make safe and efficient decisions.

 

Application Introduction

1. Vehicle Perception Module: High-definition cameras, LiDAR, GNSS/IMU systems, and other sensors acquire fundamental data. Through artificial intelligence and deep learning algorithms, the system processes raw data from cameras and LiDAR to obtain positioning and moving object information.

2. Network Communication Module: Employs 4G/5G industrial vehicle gateway systems with multiple Ethernet ports to solve network connectivity issues. These vehicle gateways are equipped with SIM cards and must include WiFi functionality for comprehensive fleet communication management.

3. Cloud Platform System Module:
   1. Operations Monitoring System: Remote viewing of real-time vehicle driving conditions, remote video monitoring with exception notifications, and remote personnel takeover capabilities.
   2. Operations Management System: Automatically generates vehicle reports, operational reports, route reports, etc.
   3. Data Analysis System: Optimizes operating times and routes based on historical data and driving paths.

The solution integrates advanced sensing technologies with robust vehicle gateway infrastructure to enable comprehensive unmanned vehicle fleet management and optimization through cloud-based analytics and monitoring systems.