Efficiency Through Innovation
Call us any time +918860308318
Call us any time +918860308318

Metal & Minning

Efficiency Through Innovation > Metal & Minning
undefined (1)
Operational Benefits & ROI
  • By preventing unplanned downtime on critical bottleneck assets like crushers and main conveyors, overall mine tonnage output is significantly increased.
  • Shifts maintenance from a costly time-based schedule (replacing parts too early or too late) to a condition-based schedule, extending component life and reducing parts inventory.
  • Reduces the need for manual inspections in hazardous areas (e.g., near moving conveyors or unstable slopes) and monitors environmental risks.
  • By preventing unplanned downtime on critical bottleneck assets like crushers and main conveyors, overall mine tonnage output is significantly increased.
  • Shifts maintenance from a costly time-based schedule (replacing parts too early or too late) to a condition-based schedule, extending component life and reducing parts inventory.
  • Reduces the need for manual inspections in hazardous areas (e.g., near moving conveyors or unstable slopes) and monitors environmental risks.

System Overview & Architecture

Alphacore’s solution for the Metal & Mining sector is an ultra-ruggedized Industrial IoT (IIoT) platform built to survive the harshest industrial conditions on earth. It is designed to withstand extreme shock, vibration, abrasive dust, moisture, and variable temperatures common in surface and underground operations. The system transforms isolated, heavy machinery into connected, intelligent assets to maximize tonnage throughput.

The Data Flow Pipeline:

  • Sensor Layer (The Hardened Edge):
    IP68/IP69K-rated sensors encased in hardened steel housings are welded or bolted directly onto critical equipment. This includes piezoelectric accelerometers on crusher drives, infrared thermography on conveyor idlers, and hydraulic pressure sensors on drill rigs.
  • Connectivity Layer:
    Data is transmitted via robust, industrial mesh networks (e.g., Rajant, Cisco) or private LTE/5G networks capable of propagating signals through deep pits and underground tunnels where traditional Wi-Fi fails.
  • Processing Layer (Alphacore AI Engine):
    Edge gateways perform initial signal processing (filtering out noise from blasting or impact). The central AI engine uses machine learning models trained on specific failure modes of mining equipment (e.g., gear tooth cracking, bearing spalling).
  • Application Layer:
    A unified Mine Operations Center dashboard giving pit superintendents, reliability engineers, and maintenance planners real-time visibility into asset health across the entire value chain.

Safety & Environmental Engine

Tailings Dam Integrity

Deploys geotechnical sensors (piezometers, inclinometers) on tailings storage facilities to monitor slope stability and pore water pressure in real-time, providing early warning signs of potential dam failures.
services_1.jpg

Air Quality & Ventilation

Monitors dust concentrations (PM2.5/PM10) and toxic gas levels in underground operations, automatically adjusting ventilation fans to ensure safe working conditions and energy efficiency.
services_2.jpg
Metal & Minning

Core Functional Modules

Metal & Minning
  • Predictive Maintenance for Drives & Bearings: High-frequency vibration analysis identifies early signs of bearing fatigue, gear mesh faults, and shaft misalignment in gyratory, jaw, and cone crushers. This prevents catastrophic failures that stop the entire mine output.
  • Choke Feed & Liner Wear Optimization: By correlating power draw, hydraulic pressure, and vibration, the AI models optimize the feed rate to maintain a “choke feed” condition for maximum efficiency, while also tracking liner wear to predict the optimal time for replacement.
22
  • Belt Rip Detection: Advanced sensor arrays or vision systems detect small tears or punctures in conveyor belts early. This prevents massive longitudinal rips that can destroy kilometers of expensive belting and cause multi-day outages.
  • Idler & Pulley Monitoring: Thermal cameras or acoustic sensors monitor thousands of conveyor idlers to detect seized bearings that cause friction and pose significant fire risks in coal or sulphide ore mines.
33
  • Drill Bit Wear & Performance: Sensors on rotary rotary-percussive drills monitor vibration patterns and pull-down pressure to determine real-time bit wear. This allows operators to change bits at the optimal time—avoiding slow drilling due to worn bits or catastrophic failure down-the-hole.
  • Haul Truck VIMS Integration: Integrates with existing Vehicle Information Management Systems (VIMS) on haul trucks to correlate engine and hydraulic health with haul road conditions, optimizing routes and maintenance schedules.
Metal & Minning
  • Predictive Maintenance for Drives & Bearings: High-frequency vibration analysis identifies early signs of bearing fatigue, gear mesh faults, and shaft misalignment in gyratory, jaw, and cone crushers. This prevents catastrophic failures that stop the entire mine output.
  • Choke Feed & Liner Wear Optimization: By correlating power draw, hydraulic pressure, and vibration, the AI models optimize the feed rate to maintain a “choke feed” condition for maximum efficiency, while also tracking liner wear to predict the optimal time for replacement.
22
  • Belt Rip Detection: Advanced sensor arrays or vision systems detect small tears or punctures in conveyor belts early. This prevents massive longitudinal rips that can destroy kilometers of expensive belting and cause multi-day outages.
  • Idler & Pulley Monitoring: Thermal cameras or acoustic sensors monitor thousands of conveyor idlers to detect seized bearings that cause friction and pose significant fire risks in coal or sulphide ore mines.
33
  • Drill Bit Wear & Performance: Sensors on rotary rotary-percussive drills monitor vibration patterns and pull-down pressure to determine real-time bit wear. This allows operators to change bits at the optimal time—avoiding slow drilling due to worn bits or catastrophic failure down-the-hole.
  • Haul Truck VIMS Integration: Integrates with existing Vehicle Information Management Systems (VIMS) on haul trucks to correlate engine and hydraulic health with haul road conditions, optimizing routes and maintenance schedules.
Why Choose Us

Expertise and Experience

We bring decades of industry experience and expertise to every project Our team complexities

Alphacore has a strong track record of delivering measurable ROI through its solutions. Their case studies highlight significant savings across various sectors:

  • Forging & Automotive: Saved up to $1.2 million on press lines by predicting gearbox failures and cutter life.
  • Manufacturing: Prevented $1 million in losses by avoiding just 24 hours of unplanned downtime on a single machine.
  • FMCG & Chemical: Saved between $25,000 and $80,000 by predicting pump and cooling tower failures before they occurred.
Award-Winning "Life-Saving" Technology

In 2019, the company was honored by the Indian Express Group with an award for solutions that “Save Lives.” Their monitoring systems don’t just protect machinery; they prevent catastrophic industrial accidents, ensuring a safer environment for your workforce.

Unlike generic IT firms, Alphacore specializes in Condition-Based Monitoring (CBM) and IoT-based PdM. Their patented technology focuses on:

  • Early Defect Detection: Identifying issues in the production process before they escalate.
  • Real-time Monitoring: Tracking temperature, vibration, and performance metrics 24/7.

Extended Equipment Life: Reducing the total cost of ownership for heavy machinery.

They offer tailored solutions across diverse and demanding verticals:

  • Cement & Steel: Handling high-vibration and harsh environments.
  • FMCG & Pharma: Ensuring precision and uptime for high-speed packaging and processing.

Automotive: Optimizing complex assembly lines and robotic systems.

Alphacore doesn’t just provide software; they provide a partnership that includes:

  • Custom Training: Tailored mentoring in Vibration Analysis, Infrared Thermography, and Ultrasonic hardware.

Client Success Management: Dedicated support to ensure your team realizes the full value of the deployed IoT ecosystem.

Industry Case Studies

image

Case Study 1


Open-Pit Copper Mine (Crusher Reliability)
  • The Challenge: A primary gyratory crusher at a large open-pit mine was experiencing unexpected failures of its eccentric bushing, costing upwards of $250,000 per hour in lost production during downtime.
  • The Alphacore Solution: Rugged vibration sensors and oil debris monitors were installed on the crusher’s drive train and lubrication system.
  • The Result: The system detected a specific vibration signature indicating early-stage bushing wear four weeks before failure. Maintenance teams planned a changeout during a scheduled 12-hour shutdown, avoiding a potential 3-day catastrophic failure event.
image

Case Study 2


Underground Gold Mine (Conveyor Uptime)
  • The Challenge: A critical 3km underground decline conveyor system suffered from frequent belt tears caused by sharp rock tramp metal, leading to significant downtime and replacement costs.
  • The Alphacore Solution: Implementation of an IoT-based belt rip detection system and a smart tramp metal detector that automatically stops the feeder belt before damaged rock hits the main line.
  • The Result: Belt damage incidents were reduced by 85%. When tears did occur, the system stopped the belt instantly, limiting damage to a small repairable section rather than ruining the entire belt length, saving hundreds of thousands of dollars annually in belting costs.
Contact Us

Supporting You in Shaping Communities Worldwide

contact-map

Mumbai

Mumbai

Get In Tech

    Our Clients