Mining Machinery Management

Solution Group

Industry

Intelligent Mining
Mining

PoC Duration

Iotellect Match

5-10 days
AI powered Low Code IoT/IIoT Platform

Optimize mining operations with an end-to-end machinery management and industrial automation solution. Monitor critical equipment, track performance, and predict maintenance needs. Gain real-time visibility into assets to improve productivity, reduce downtime, and lower operating costs. Our cloud-based platform integrates seamlessly with existing systems, providing a centralized hub for all mining machinery data. Leverage advanced analytics and AI-powered insights to make data-driven decisions and drive continuous improvement across mining operations.

Iotellect is a low code IoT/IIoT development platform. It does not work as an out-of-the-box solution or product. Instead, it helps you to monetize your IoT know-how by dramatically lowering labor costs and cutting time-to-market for your product, service, or solution. It allows business-oriented IoT professionals to join the development process by converting their IoT market knowledge directly into product features and specific value delivered to your end customers.

Build Your IoT Application

Connect Your

Mining Equipment

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PLCs
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Smart meters
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Power management equipment
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IIoT gateways
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Smart cameras and AI vision systems
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Industrial network equipment
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Excavators
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Haul trucks
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Loaders
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Drilling rigs
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Crushers
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Conveyors
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GPS/GNSS vehicle trackers
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Environmental sensors
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Ground stability monitors
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Worker wearables and tablets
  • Use of Iotellect's Unified Data Model to connect diverse machinery like excavators, haul trucks, loaders, and dozers in a single platform
  • Real-time monitoring of equipment such as drills and crushers using Iotellect's extensive industrial protocol support, including Modbus and OPC UA
  • Edge computing devices utilize Iotellect's data buffering and encryption features to maintain operational continuity even during intermittent network connections
  • Predictive maintenance alerts for wireless connectivity gateways based on data analysis from vibration and temperature sensors
  • Integration of sensors for hydraulic pressure monitoring in haul trucks to minimize maintenance needs proactively
  • Automated optimization of loader performance via real-time data exchange between edge devices and the cloud platform
  • Connectivity of conveyors through Iotellect’s flexible driver module, simplifying control over material flow in mining operations
  • Remote configuration management of drills using edge gateways to enhance their operational efficiency

Connectivity and Management

  • Low code integration with fleet management software to streamline operations for vehicles such as haul trucks and loaders through Iotellect's unified data model
  • Connection of drill operation metrics to third-party ERP systems enhancing resource allocation planning via structured protocol support like MQTT
  • Integration with supply chain systems via Iotellect’s low code connectors enhancing logistical efficiency related to vibrational sensor outputs from conveyors
  • Streamlined communication of hydraulic pressure sensor data from dozers into centralized reporting systems for enhanced decision-making processes
  • Deployment of loaders’ fuel consumption analytics within financial planning modules using low code solutions offered by the platform
  • Device normalization feature converting raw GNSS tracker data from mobile machinery into standardized inputs usable across various business intelligence tools
  • Aggregation of operational insights generated from excavators into comprehensive dashboards linked to stakeholder communication channels

Integration

  • Utilization of Iotellect's low-code expression language to predict maintenance needs for haul trucks by analyzing historical engine performance data
  • Statistical process control on vibrational data collected from crushers, highlighting potential failure points before they occur
  • Machine learning models running on Iotellect's edge platforms that predict fuel consumption patterns in loaders for cost reduction
  • Digital twin simulations of conveyor operation conditions that optimize energy use during peak load hours
  • Advanced alerting insights to prevent unplanned downtime across interconnected systems like drills and hydraulically operated machinery
  • Real-time analysis of temperature fluctuations in excavators to extend equipment lifespan using AI-driven insights
  • Contextual data scenario modeling providing performance forecasts for entire mining fleets considering seasonal variations

Analytics

  • Centralized panel visualization displaying critical engine performance metrics for wireless connectivity gateway-enabled machinery in intuitive graphical formats
  • Customizable dashboards featuring real-time interactive charts and tables summarizing key analytics around resistance fault patterns in drills and crushers
  • Utilizes touch panel interfaces allowing field operators quick access to equipment status updates ensuring immediate responsive action in high-demand situations
  • Dynamic vector images supporting monitoring visualizations exhibit live conveyor belt operations aligning with predictive maintenance schedules effortlessly configured through drag-and-drop GUI Builder components
  • Responsive HMIs tailored to optimize working environments ensure adaptive visor layout availability across devices interpreting relevant telemetry directly at screen-spanning kiosks or interactive consoles managing excavation projects efficiently

UI/UX

Key Features
of Your Mining Machinery Management Solution

Customers and Partners

  • System Integrators
  • Engineering Companies
  • Original Equipment Manufacturers
  • Mining Enterprises
  • Construction Firms

Solution Users and Developers

  • Dedicated low code developers
  • Industrial automation engineers
  • Mining industry professionals
  • Fleet management specialists
  • Industry 4.0 and IIoT solution architects
Customer success team
Community
Online training

Assistance