Mine Condition Monitoring

Solution Group

Industry

Intelligent Mining
Mining

PoC Duration

Iotellect Match

3-10 days
AI powered Low Code IoT/IIoT Platform

Optimize productivity, safety, and compliance in mining operations through a comprehensive solution for real-time monitoring of critical mine conditions. Our platform enables centralized collection, analysis, and visualization of data from a wide range of systems and sensors deployed across a mining site. Empower shaft-men teams with data-driven insights to make informed decisions, improve operational efficiency, and ensure a safe working environment. Enhance productivity, reduce downtime, and maintain regulatory compliance with a comprehensive mine condition monitoring solution.

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

Mine Condition Monitoring Devices

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Temperature sensors
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Strain gauges
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Vibration sensors
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Industrial PCs and PLCs
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Leak, moisture and humidity sensors
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Air quality sensors
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Gas and dust detectors
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Seismic monitors
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Structural integrity and deformation sensors
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Ground pressure sensors
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Emergency response systems
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Personnel safety devices
(health trackers, proximity tags, etc.)
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Wireless sensor networks and sensor hubs
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Mining equipment and machinery
  • Utilize Iotellect's support for over 100 communication protocols, including Modbus and MQTT, for effortless integration with diverse mining sensors
  • Enable wireless sensor networks and gateways to transmit data from vibration and performance monitoring sensors through secured channels back to centralized control systems
  • Offer advanced management features like automatic enrollment and onboarding of new environmental sensors across different mine shafts with minimal human intervention
  • Optimize real-time equipment health tracking by leveraging programmable logic controllers (PLCs) that can send performance metrics to the edge computing network
  • Deploy a reliable network of industrial PCs at mine sites for local data collection and immediate issue detection
  • Provide robust tools for easy configuration updates and batch operations across groups of deployed environmental parameter sensors

Connectivity and Management

  • Integrate seamlessly with existing SCADA infrastructure using Iotellect's vast array of supported industrial protocols such as OPC UA and BACnet
  • Utilize low-code connectors to integrate mine condition data with external systems like ERP solutions, keeping all stakeholders informed of current site conditions
  • Connect mining operational insights directly into corporate compliance software using structured data exchange protocols provided by Iotellect
  • Establish a direct link between remote sensing data streams from humidity sensors and cloud-based weather forecast platforms for adaptive operational planning
  • Implement low-code integration methods to synchronize alert notifications with enterprise-grade communication tools used by field teams
  • Facilitate cross-system data exchange where it's possible to visualize aggregate metrics with third-party geological analysis software for enriched decision-making workflows
  • Establish two-way connections between vibration sensor data at the supervisory level and MES systems for enhanced production efficiency assessments

Integration

  • Leverage Iotellect's predictive maintenance algorithms to analyze data from equipment tracking sensors, anticipating failure, and optimizing maintenance schedules
  • Use the low-code expression language for creating custom alert triggers based on environmental sensor data collected from mine shafts
  • Employ statistical process control using Iotellect's Round-Robin Database (RRD) for capturing air quality trends over time for regulatory compliance reporting
  • Establish advanced AI-driven models that predict potential seismic hazards by analyzing data from rock deformation sensors combined with historical site data
  • Implement anomaly detection algorithms to identify unusual patterns in gas level readings, ensuring timely interventions before reaching critical safety levels
  • Analyze key safety parameters in real-time, offering scoring metrics that help prioritize maintenance tasks based on potential risk
  • Develop a comprehensive model using predictive analytics tools that forecast operational efficiencies related to equipment utilization rates over time
  • Transform raw temperature readings into actionable insights to optimize cooling processes within operational tunnels

Analytics

  • Design intuitive dashboards using Iotellect's web UI components, displaying air quality indices, temperature variances, and more in engaging charts and gauges
  • Employ the visual GUI Builder for crafting operational layouts: drag-and-drop sensor status components, alarm logs, or system performance charts without coding expertise
  • Produce custom layout workspaces aligned with specific roles such as site safety officers or maintenance managers, providing data feeds relevant to their tasks
  • Generate interactive vector-based depictions of mining operations where graphical elements update as live sensor data changes — aiding both real-time assessment and longer-term strategic planning
  • Tailor dashboards that allow miners direct interaction with their HMIs via any standard web browser interface, thus promoting ubiquitous access across various locations or site divisions
  • Offer specific reporting functions aimed both at highlighting historical trends over chosen intervals (eg, daily/weekly/monthly), as well ensuring automated PDF report dissemination paths when pre-defined conditions merit it

UI/UX

Key Features
of Your Mine Condition Monitoring 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
  • Mining automation specialists
  • IIoT solution architects
  • Industrial data analysts
Customer success team
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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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