INDUSTRIAL

Real-time monitoring means safety, efficiency, and cost-effective maintenance.

KEEPING INDUSTRIES HUMMING

Industries are leveraging wireless technology to increase efficiency, improve safety, and monitor conditions in every corner of their plants and machinery – and GainSpan is helping them by making it easy and low-cost to integrate wireless devices into existing systems.

Monitoring Performance, Minimizing Downtime

Today's aging facilities can be properly maintained via wireless products that monitor, control, detect faults and maximize security and minimize downtimes. Wi-Fi connectivity brings comprehensive monitoring into reach by dramatically reducing the cost and complexity of accessing more measurement points. The reliability and simple installation and management of GainSpan Wi-Fi-enabled solutions lets engineers get the measurements they need, when they need them to improve productivity and prevent unplanned downtime.

While everyone understands the value of predictive maintenance, until now the challenge has been the sheer impracticality of installing wired sensors on every piece of aging infrastructure. Wi-Fi knocks down this barrier and makes possible widespread deployment of condition monitoring equipment. For example, aging pipelines and tanks are a major problem in the industry. Monitoring corrosion using manual processes is extremely costly and unreliable. A network of Wi-Fi corrosion sensors can be economically deployed to reliably identify issues before they become catastrophic failures.

The same is true for large, complex tractors used in mining, construction and other industries. Owners can reliably track the performance and schedule needed maintenance to preempt downtime, ensure safety, and maintain productivity.

GainSpan wireless connectivity solutions can be applied to various monitoring scenarios including:

  • Wellhead monitoring
  • Substation monitoring
  • Temperature and pressure monitoring
  • pH monitoring
  • Vibration monitoring
  • Leak monitoring
  • Valve monitoring
  • Predictive maintenance

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