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Land Transport

Major Equipment Transportation and Delivery Safety Management and Control System

 

Solution Background

With the continuous improvement of national infrastructure construction and defense requirements, the scale of transportation and delivery of major equipment (such as wind power equipment, large machinery, military equipment, etc.) is expanding. However, traditional transportation modes have numerous safety hazards and management difficulties:

  • High safety risks: Major equipment is bulky and overweight, and prone to accidents such as overturning and collision during transportation.
  • Difficult supervision: Complex transportation routes involve cross-regional and multi-department coordination, leading to low efficiency in manual supervision.
  • Slow emergency response: Sudden situations (such as bad weather, road obstacles) are difficult to pre-warn and handle in a timely manner.
  • Lack of data transparency: Real-time monitoring of transportation status and environmental data is lacking, making it difficult to optimize scheduling decisions.
  • To solve these problems, the Safety Control System for Transportation and Delivery of Major Equipment came into being, achieving visualized, precise, and automated management of the entire transportation process through intelligent technology, ensuring transportation safety and efficiency.

 

Solution Introduction

Solution Overview

  • This system is based on Internet of Things (IoT), Beidou/GPS positioning, big data analysis, and AI intelligent early warning technology, building an “end-edge-cloud” collaborative transportation safety control platform to achieve:
  • Real-time monitoring: Full-process visualization of transportation vehicles, cargo status, and environmental data.
  • Intelligent warning: Automatically identify risks (such as overspeeding, route deviation, equipment anomalies) and issue alerts.
  • Collaborative dispatch: Cross-department data sharing, optimizing transportation routes and emergency response mechanisms.
  • Full traceability: Transportation data archiving, supporting post-event analysis and accountability.

 

Applicable Scenarios

  • Transportation of oversized equipment such as wind turbine blades and transformers
  • Confidential transportation of military equipment, aerospace equipment, etc.
  • Cross-border, cross-provincial large-scale engineering equipment delivery

 

Core Functions

Function Module

Description

Intelligent Monitoring Terminal

Onboard sensors collect cargo posture, temperature, humidity, and vibration data in real-time to prevent tilting or damage.

High-precision Positioning

Beidou/GPS dual-mode positioning, real-time tracking of vehicle location, electronic fence to prevent deviation.

Risk Warning System

AI algorithms analyze data, automatically warning of risks such as overspeeding, fatigued driving, road height restrictions, and obstacles.

Digital Twin Simulation

3D modeling simulates transportation routes, pre-enacting bridge passability, turning radii, etc., to optimize path planning.

Data Analysis Dashboard

Visual display of data such as transportation mileage, risk events, and energy consumption, assisting management decisions.

 

Technical Advantages

  • Military-grade security: Encrypted data transmission, meeting confidential transportation requirements.
  • Low-latency response: 5G + edge computing, warning delay <1 second.

 

Application Case Case

1: Safety Upgrade for Blade Transportation of a Wind Power Group

Pain Point Blade length exceeds 80 meters, frequent accidents in mountain transportation, annual losses exceeding ten million yuan.

Solution Deploy intelligent monitoring terminals + AI warning system, real-time adjustment of vehicle speed and route.

Effect Transportation accident rate decreased by 90%, single transportation time shortened by 15%.

 

 

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Solution Introduction

Application Cases

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