WAYTOUS

With our roots in the academic world, WAYTOUS has developed the industry-leading Intelligent Mining Operating System, YUGONG. By integrating intelligent mining theory, ACP -based (Artificial societies, Computational experiments, Parallel execution) parallel intelligence approaches initially proposed by our Chief Scientist, Fei-Yue Wang, and the latest Artificial Intelligence (AI) technologies. With adaptation of full models, multiple minerals, and full scenarios, the YUGONG system is transforming the mode of mining operations into intelligent and sustainable.

About YUGONG

Supported by the "parallel theory", WAYTOUS. has developed an independent and controllable parallel mining operating system - "YUGONG", which includes six sub-systems: autonomous transportation platform, parallel simulation platform, remote takeover system, collaborative loading management, intelligent roadside cooperative platform, and autonomous fleet management. The six sub-systems have realized the softwareization, hardwareization, productization, products serialization, and systems platformization, and can enhance safety and efficiency through the virtual-real interaction technology of the parallel simulation platform. The combination of sub-systems supports various scenarios and all of them are adapted to various types of mining vehicles, and the remote takeover system can run independently to ensure safety. As a technology and service provider of intelligent mines, WAYTOUS will continue to empower the transformation and upgrading of intelligent and unmanned mines.

Advantages

SIX SUB-SYSTEMS

Autonomous Fleet Management System
Autonomous Fleet Management System

The system is a “cloud-based brain" commanding the operation of the intelligent and unmanned mining areas. It connects all kinds of mining machinery and equipment to the control center. It has excellent computing, planning, management, scheduling, analysis, and statistical capabilities, creating a modern and efficient development engine for mine production activities.
  • High Precision Mapping
  • Global Path Planning
  • Intelligent Scheduling
  • Collaboration with Manned Vehicles
  • Fleet Traffic Management
  • Data Statistics and Analysis
Autonomous Mining Truck System
Autonomous Mining Truck System

The system can integrate the software with hardware by matching up with a self-developed "Xuanwu" high-performance domain controller. It makes autonomous mining trucks obtain a high degree of intelligent automatic driving capabilities and the intelligent system more reliable, compatible, and safe. Autonomous mining trucks have been updated with uniform productization and standardization, and could achieve complex mining operations without drivers and human-being supervision at first in China.
  • Data Collection and Update
  • Obstacle Detour/Passing/Reporting
  • Bumpy Road Detection and Automatic Speed Reduction
  • Anti-rutting Balanced Crushing
  • Precise Detection of Non-Standard Retaining Walls and Adaptive Parking
Collaborative Loading Management System
Collaborative Loading Management System

The system deploys intelligent excavating, engineering, and auxiliary production equipment with the relative system to complete the full production process while ensuring the safety of both personnel and vehicles. Each of them interacts with autonomous fleet management in the open-pit mine to guarantee smooth and precise operations.
  • Real-Time Communication
  • Path Planning
  • Collaborative Operation
  • Fault Reporting
Avatar Driver System
Avatar Driver System

It is the first centralized solution including remote operations, production monitoring, and emergency takeover based on the 5G network in China. By utilizing accurate real-time video coding/decoding technology, video anti-congestion algorithms, intelligent network connection technology, intelligent control algorithms, and adaptive algorithms on deep networks, videos and control signals can be transmitted with high reliability and ultra-low latency, which solves key technical difficulties in remote driving and guarantees real-time capability, stability, and safety.
  • Vehicle Monitoring
  • Emergency Takeover
  • Remote Operation
  • Fleet Controlling
  • Multi-Level Security Policy
Intelligent Roadside Cooperative System
Intelligent Roadside Cooperative System

The system has key functions of full-scene object detection, intelligent scheduling, and intelligent management on roads benefiting from our self-developed algorithms, which include a fusion-based perception algorithm for multiple sensors, a high precision synchronization algorithm, a decision-making algorithm at junctions, an intelligent monitoring algorithm at mining areas, and a few standardized communication protocols on V2X. It can be applied to several scenarios in open-pit mines, such as at junctions, loading and unloading areas, blinding areas, and crushing stations, which can solve problems of the perception limitation of a single vehicle, multi-vehicle scheduling, and real-time supervision in the dynamic environment.
  • Vehicle-Road Collaboration Perception
  • Path Planning and Decision Making
  • Traffic Control and Scheduling
  • Information Service
  • Road Warning
Parallel Mine Simulation System
Parallel Mine Simulation System

The system can be seen as a crucial validation tool for the pre-deployment of the "YUGONG" system, ensuring the safety of the autonomous vehicles every time and everywhere. It reduces the negative impact of debugging in regular production, while improving the deployment efficiency. The system performs a simulation testing of autonomous vehicles in virtual mines via 3D reconstruction technology of the real mines. Based on the authentic and real-time dispatching platform, autonomous driving controllers, and accurate dynamics kernel on vehicles (the vehicle suspension, tire deformation, and the oil pressure for steering can be simulated). The system allows hundreds of virtual mining trucks to run in the whole virtual mining area, and can complete the parallel test between the real and virtual scenarios and vehicles.
  • Verification of Autonomous Driving Algorithms
  • Verification of Cloud Scheduling and Management Functions
  • Verification of Deep Virtual-Real Hybrid in Extreme Scenarios
  • Testing on Stability of Software and Hardware
  • Upgrade Autonomous Driving Algorithms Training