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Automated Control System for Autonomous Mining Equipment

Automated Control System for Autonomous Mining Equipment

#Back-end

#Front-end

#UX/UI Design

#Automated Control

Project Scope

Development of a software platform for dispatching, monitoring, and managing autonomous mining haul trucks.

Project Duration

May 2024 - April 2025

Industry

Mining • Heavy Equipment Manufacturing

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InDev Solutions develops custom software and industrial digitalization solutions for government organizations, industrial enterprises, and technology-driven businesses.

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Project Overview

  • InDev Solutions developed an automated control system designed to manage and coordinate autonomous mining equipment operating within an industrial mining environment. The solution enables centralized monitoring, control, and coordination of unmanned vehicles and supporting infrastructure, helping improve operational efficiency, safety, and resource utilization.

Challenge

Modern mining operations require advanced technologies that can:

  1. Improve workplace safety by reducing personnel presence in hazardous areas;
  2. Increase operational efficiency and equipment utilization;
  3. Enable real-time monitoring and management of autonomous vehicles;
  4. Support scalable and reliable operation of mining infrastructure;
  5. Facilitate data-driven decision-making.

The customer required a centralized software platform capable of managing autonomous mining equipment and providing operators with comprehensive situational awareness.

Solution

  • InDev Solutions designed and implemented an integrated software platform that enables centralized control and monitoring of autonomous mining operations.

The system provides:

Fleet Monitoring and Control

  • Real-time tracking and management of autonomous mining vehicles and equipment.

Operational Monitoring

  • Continuous monitoring of equipment status, operational parameters, and key performance indicators.

Dispatching and Coordination

  • Centralized coordination of vehicle routes, tasks, and operational workflows.

Data Collection and Analytics

  • Aggregation, processing, and visualization of operational data to support informed decision-making.

Incident Management

  • Detection, notification, and management of operational events and abnormal situations.

Reporting and Visualization

  • Interactive dashboards, reports, and analytical tools for operational control and performance assessment.

Key Features

  1. Real-time equipment monitoring
  2. Fleet management capabilities
  3. Automated operational control
  4. Route and task coordination
  5. Data visualization and analytics
  6. Event and alarm management
  7. Centralized dispatching tools
  8. Scalable system architecture
  9. Integration with industrial infrastructure
  10. High availability and reliability
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Result

The implemented solution provides a reliable platform for managing autonomous mining equipment and supports the customer's long-term strategy for digitalization, operational efficiency, and industrial innovation.

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Operational Impact

  • Increased productivity and utilization of mining equipment
  • Ability to reduce the haul truck fleet from 100 to 87 vehicles while maintaining production volumes
  • Extension of equipment service life from 10 to 11 years
  • Workforce optimization through the transition to centralized dispatch and control operations
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Environmental Impact

  • Reduction in diesel fuel consumption by 12–18%
  • Reduction in nitrogen oxide (NOx) and particulate emissions by 20–25%
  • Fewer idle trips through intelligent route planning and dispatch optimization
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Workforce & Safety Impact

  • Relocation of personnel from hazardous operating areas to centralized control centers
  • Reduced occupational and safety risks
  • Creation of new high-skilled jobs in digital operations and fleet management

Technologies and Expertise

The project combined expertise in:

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Custom Software Development

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Industrial Automation

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Fleet Management

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Real-Time Monitoring;

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Information Security

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System integration

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