Iotellect - Solution

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

Conveyor belts

PLCs and IIoT gateways

Sensors for environmental monitoring

(air quality, water quality, soil conditions)

Sensors for equipment monitoring

(machinery vibration, temperature, pressure)

Drill rigs and blasting equipment

Crushers and grinders

Mills and smelters

Flotation and leaching systems

GPS/GNSS trackers

for haul trucks, loaders and excavators

Personnel safety wearables

Drones and unmanned vehicle control systems

Power distribution and monitoring systems

Connect Devices

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

Mine Operations Management