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Joy Mining Systems

Joy equipment faces many challenges. The first is machine integration and control. The business end of the machine has a rapidly-spinning cylinder with 6-inch diamond-studded cutting teeth. It chews through rock at rates measured in tens of tons per minute. The system grinds through the rock in front, creating a rectangular mine tunnel. Hydraulic lifters support the ceiling as the machine moves forward. Automated drills and screws drive 3-ft long screws into the ceiling to stabilize it. The rock and coal fall into a set of gathering "fingers" below the cutting cylinder. These fingers scoop up the rock and coal and deposit it onto a conveyor belt. The conveyor passes under the machine and out the back. A train of conveyor belt cars, up to a mile long, follows the cutter into the mine. The rock shoots along this train at over 400 feet per minute until it empties into rail cars at the end. Current systems place an operator cage next to the cutter. Choking dust (potentially explosive), the risk of collapse and the proximity of metal and rock mayhem make the operator cage a hazardous location.

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  • SUPPLIER
  • RTI
    RTI provides the connectivity platform for the Industrial Internet of Things (IIoT). RTI's solutions connect across field, fog and cloud. Its reliability, security, perfomance and scalability are proven in the most demanding industrial systems. Deployed systems include medical devices and imaging; wind, hydro and solar power; autonomous planes, trains and cars; traffic control; Oil and Gas; robotics, ships and defense. RTI is the largest vendor of products based on the Object Management Group (OMG) Data Distribution Service™ (DDS) connectivity framework.
  • INDUSTRIES
  • Mining
  • FUNCTIONS
  • Logistics & Warehousing
  • CUSTOMER
  • Joy Mining is the world's largest underground mining equipment manufacturer with around 11,300 employees globally.

  • CONNECTIVITY PROTOCOLS
  • SOLUTION
  • The new 14CM Continuous Miner system uses Connext DDS. Intelligent control algorithms optimize cutter pressure and rate, follow the coal seam, ensure floor and ceiling levels and enforce machine limits to reduce failures. The operator can be moved back to a safe distance from the action. Connext DDS provides fast data availability from all the working parts of the machine to a local feedback controller. Connext DDS also delivers data up the mine to allow surface monitoring. In the future, it will integrate machine control all the way to cloud-based analysis and production monitoring systems. Software Components - Connext DDS software

  • DATA COLLECTED
  • Cutter Pressure, Cutter Rate, Floor Levels, Number Of Connected Devices, Process Parameters
  • SOLUTION TYPE
  • SOLUTION MATURITY
  • Emerging (technology has been on the market for > 2 years)
  • OPERATIONAL IMPACT
  • Impact #1
    [Efficiency Improvement - Maintenance]
    Real-time status reports enable maintenance personnel to remotely diagnose the status of a device to ensure employee's safety.
    Impact #2
    [Data Management - Data Analysis]
    Cloud solutions enable aggregation of 'big data' to enable more robust analysis and lower costs.
    Impact #3
    [Process Optimization - Real Time Asset Tracking]
    The location of individuals and assets can be identified in near real-time.
  • QUANTITATIVE BENEFIT
  • USE CASES
  • Factory Operations Visibility & Intelligence
    Visualizing factory operations data is a challenge for many manufacturers today. One of the IIoT initiatives some manufacturers are pursuing today is providing real-time visibility in factory operations and the health of machines. The goal is to improve manufacturing efficiency. The challenge is in combining and correlating diverse data sources that greatly vary in nature, origin, and life cycle.Factory Operations Visibility and Intelligence (FOVI) is designed to collect sensor data generated on the factory floor, production-equipment logs, production plans and statistics, operator information, and to integrate all this and other related information in the cloud. In this way, it can be used to bring visibility to production facilities, analyze and predict outcomes, and support better decisions for improvements.  
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