物流园区每天涌入大量运输车辆，包括物资采购的送货车辆、产成品销售的提货车辆，上百辆大型货运车辆汇集在园区内外，不但占用道路资源，出现道路拥堵，管理混乱，也给企业带来安全隐患，给社会交通带来压力。一旦遇到危险事故，不可避免会带来生命和财产损失。园区将运用物流车辆智能调度引导系统，实时监控和智能调度等方式，对园区内物流车辆进行调度规划，监控车辆信息、行驶路线、运输物品等信息，通过物流车辆智能调度引导系统来合理安排车辆运输计划，提高车辆运营效率，实现对企业园区物流车辆的智能调度和高效管理。
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A large cargo transportation company
This project is about the application of a one-stop solution for smart logistics transportation by a large freight transportation company. Through the use of technologies such as the Internet of Things, cloud computing, and big data, it realizes real-time monitoring, data tracing, risk warning, and other functions throughout the entire process of goods, drivers, and transportation vehicles. The client company is built into an Internet intelligent platform in the freight industry. Effectively reducing logistics transportation risks and losses, improving safety and efficiency. The implementation of this plan has improved the safety and reliability of logistics transportation, enhanced the competitiveness of the enterprise, and increased customer satisfaction and trust in the enterprise. Support JT/T808 positioning data reporting and JT/T808 message analysis
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The ecological and environmental protection department of a certain city
This project is about a customized emission supervision system solution for heavy-duty diesel vehicles and their actual conditions, which is developed by our company against the background of the Action Plan for Diesel Truck Pollution Control and the Notice on Special Fund Task List for Fighting Pollution Control jointly issued by the ecological and environmental protection department of a certain city by 11 national departments. Through real-time vehicle status inspection, the OBD system automatically alarms and records in real time Analyze and display the exhaust emissions of vehicles. Promoting the improvement of fuel efficiency and environmental performance of heavy-duty vehicles and non road diesel mobile machinery ensures the safety and stability of vehicles, reduces accident risks, and has a positive impact on the environmental image of customer enterprises.
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