Mine Operations Management

Solution Group

Industry

Intelligent Mining
Mining

PoC Duration

Iotellect Match

6-18 days
AI powered Low Code IoT/IIoT Platform

Uplift to IIoT-based mining with a comprehensive solution for monitoring and controlling critical equipment, infrastructure, and processes. Leverage industrial automation, supervisory control, data acquisition, and real-time data insights to improve productivity, safety, and sustainability across your mining sites. Empower teams with intuitive dashboards and automated workflows to make informed decisions and drive operational excellence. Transform mining operations with a tailored solution that combines industry expertise, advanced analytics, and intuitive user experiences. Unlock new levels of efficiency, safety, and sustainability to stay ahead in a competitive market.

Iotellect is a low code IoT/IIoT platform and ecosystem that includes out-of-the-box industrial automation and digitization products, such as SCADA, MES and BI. It allows business-oriented IoT professionals to join the solution development process by converting their Industry 4.0 knowledge directly into product features and specific value delivered to your end customers.

Build Your IoT Application

Connect Your

Mine Infrastructure

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Conveyor belts
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PLCs and IIoT gateways
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Sensors for environmental monitoring
(air quality, water quality, soil conditions)
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Sensors for equipment monitoring
(machinery vibration, temperature, pressure)
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Drill rigs and blasting equipment
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Crushers and grinders
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Mills and smelters
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Flotation and leaching systems
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GPS/GNSS trackers
for haul trucks, loaders and excavators
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Personnel safety wearables
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Drones and unmanned vehicle control systems
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Power distribution and monitoring systems
  • Use the Iotellect platform's extensive communication protocol support to integrate with sensors monitoring mining equipment vibration, temperature, and pressure, ensuring robust data collection
  • Leverage Iotellect's edge computing capabilities to ensure real-time processing and control of gate functions and personnel safety wearables, even in remote locations
  • Enable connectivity with PLCs via Iotellect's Unified Data Model, allowing centralized management and automated process control across mining facilities
  • Implement a sophisticated personnel tracking system using RFID tags integrated through Iotellect's edge devices to enhance safety compliance and workforce management
  • Utilize environmental sensors to monitor air quality across mine sites, potentially alerting personnel through direct integration with personnel tracking wearables for immediate safety responses
  • Deploy SCADA systems for centralized control, connecting seamlessly with edge-enabled gateways to ensure comprehensive monitoring and control of mining site operations
  • Aggregate data from diverse devices like environmental sensors at the edge for initial analytics before secure transmission to cloud-based databases for in-depth analysis
  • Utilize the platform's device normalization approach to seamlessly integrate programmable logic controllers (PLCs) for automated process monitoring in mining operations

Connectivity and Management

  • Utilize low code connectors to integrate fieldbus protocol support with proprietary environmental monitoring solutions, ensuring accurate representation of conditions inside adverse mining environments
  • Expand SCADA system applications by bridging via low code integration into broader ERP systems managing materials logistics or workforce scheduling modules seamlessly from within a single pane of glass
  • Open standardized connections via Modbus or MQTT between legacy PLC networks and cutting-edge environmental monitoring platforms, enhancing cross-system harmonization without significant overhauls
  • Link existing databases with equipment health systems through low-code connections to JDBC/ODBC protocols, bringing insights from disparate datasets together for consolidated reporting metrics
  • Connect predictive maintenance tools directly with CMMS platforms via configurable integrations, streamlining work-order creation in response to flagged events from real-time analysis engines on edge devices
  • Orchestrate mining operations workflows by integrating personnel safety systems for enhanced risk assessment triggered by abnormal activity detections in restricted zones
  • Establish direct links between energy consumption monitors and building management systems using low-code integrations that derive efficiency profiles to assist future-proof operational planning scenarios
  • Integrate external transportation management systems into fleet tracking services through API-based device adaptations, optimizing material and resource movement virtually

Integration

  • Utilize the statistical process control module to visualize trends in equipment health metrics derived from predictive maintenance analytics, supporting proactive decision-making
  • Apply machine learning models directly on the edge to identify fault patterns in vehicle vibration data, enabling early detection of potential breakdowns that could disrupt operations
  • Employ historical data analysis using Time-to-Failure (TTF) metrics from vibration sensors to predict RUL and schedule maintenance activities that minimize downtime and extend equipment lifespan
  • Integrate environmental sensor data such as air quality and soil conditions to develop advanced sustainability reports that highlight emission trends and aid regulatory compliance efforts
  • Implement complex event processing (CEP) on distributed controllers to correlate machinery pressure drops with operational events across multiple mine sites, providing real-time insights into systemic issues
  • Use predictive analytics on aggregated machine temperature data to forecast machinery wear patterns, enabling cost-effective maintenance scheduling and parts inventory management
  • Analyze vehicle telemetry data with statistical methods to optimize fleet operation efficiency, mitigating unnecessary emissions through planned best-route directives that reflect real-time conditions
  • Create a digital twin model incorporating machinery status from SCADA systems, simulating operational improvements before actual deployment

Analytics

  • Design intuitive dashboards displaying sensor-read data such as vehicle telemetry alongside location contexts using Iotellect's comprehensive GUI builder for rapid insights on fleet health metrics
  • Utilize dynamic vector image support within the interface builder for detailed visualizations of infrastructure layouts overlayed with real-time sensor alerts like machinery temperature spikes or pressure warnings
  • Develop a role-specific interface delineating operational KPIs crucial at individual decision points along varied processes within the mines using customizable workspaces effectively tailored toward targeted user engagement goals
  • Foster accessibility consciousness by ensuring similar functionality of web HMIs across broad device categories ranging desktop deployments down through mobile engagements tailored specifically around field-agency task needs

UI/UX

Key Features
of Your Mine Operations Management Solution

Customers and Partners

  • System Integrators
  • Engineering Companies
  • Original Equipment Manufacturers
  • Industrial Automation Companies
  • Construction/Mining Companies

Solution Users and Developers

  • Dedicated low code developers
  • SCADA/HMI engineers
  • Mining automation specialists
  • IIoT solution architects
Customer success team
Community
Online training

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Keep an eye on Server health and analyze its performance with the detailed Monitoring dashboard

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improve your business with a perfectly self-tailored

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in-house service

Proved Worldwide
Across Industries
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15 000 000 000 000+

data samples collected and processed

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25 000 000+

devices under monitoring and supervision

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40 000+

types of devices and data sources connected via more than 50 supported communication protocols

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300+

SaaS and on-premise partner products created

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80+

countries leverage Iotellect technology

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