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Machine Condition Monitoring for a Distribution Center

A distribution center used a conveyor belt systems to transport a wide variety of products to appropriate locations. When all went well, products were delivered, stored and shipped back out with a minimum of trouble. But a breakdown in any of the motors running the conveyor belts could interfere with operations and cause unacceptable shipping delays. The distribution center decided to use remote monitoring and decision analytics to predict where and when, preventative maintenance could keep small problems from ballooning into major disruptions.

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  • SUPPLIER
  • Advantech B+B SmartWorx (Advantech)
    Founded in 1981, B+B SmartWorx, formerly B&B Electronics, provides intelligent M2M and IoT connectivity solutions for wireless and wired networks. The company designs and builds device connectivity and network infrastructure products that deliver intelligent connectivity at the “edge” of networks in remote and demanding environments. At the start of 2016, B+B SmartWorx became part of the global Advantech family, and will be operating as Advantech B+B SmartWorx. As part of the company’s Global Industrial IoT Business group, B+B SmartWorx will lead Advantech’s new Intelligent Networking Business Sector in developing smart networking products.
  • INDUSTRIES
  • Equipment & Machinery
  • FUNCTIONS
  • Logistics & Warehousing
  • CONNECTIVITY PROTOCOLS
  • USE CASES
  • Machine Condition Monitoring
    Machine condition monitoring is the process of monitoring parameters such as vibration and temperature in order to identify changes that indicate a reduction in performance or impending fault. It is a necessary component of Predictive Maintenance solutions and allows maintenance to be scheduled prior to failure, or other actions to be taken to prevent damages to the machine and loss of production. Condition monitoring also provides value beyond improving maintenance schedules. For example, improved visibility into machine operations can indicate the root causes of product defects and can support optimization of energy consumption.
  • CUSTOMER
  • A distribution center

  • SOLUTION
  • One of B+B’s value-added resellers solved the problem with B+B’s Wzzard Sensor Platform and decision analytics. They placed current, vibration and temperature sensors on each of the motors and connected the sensors to Wzzard Intelligent Edge Nodes. The Intelligent Edge Nodes used SmartMesh IP mesh networking to report sensor data to the Spectre Network Gateway, which can connect to analytics applications via wired or cellular networks. The entire system was wireless, so there was no need to clutter the distribution center with a lot of new cabling.

  • DATA COLLECTED
  • Condition Based Monitoring, Engine Temperature, Maintenance Requirements, Shipping Time, Vibration
  • SOLUTION TYPE
  • SOLUTION MATURITY
  • Emerging (technology has been on the market for > 2 years)
  • OPERATIONAL IMPACT
  • Impact #1
    [Process Optimization - Predictive Maintenance]
    The analytics application monitored the incoming data and compared it to previous reports. Increases in motor temperature, vibration or current use are all indications that a motor’s condition is deteriorating, and the analytics application was therefore
    Impact #2
    Impact #3
  • QUANTITATIVE BENEFIT
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