IoT predictive maintenance is a maintenance strategy that uses the Internet of Things to gather and analyse data about assets and equipment. Sensors are implemented to collect data about the condition of apparatus, and detect any issues that may need to be addressed to prevent future outages and unnecessary downtime.
A traditional and common approach
to maintenance is to simply wait until a piece of equipment or machinery breaks and then make a repair to fix it. Whilst this approach works for some things, it is unrealistic for large-scale industrial organisations that rely on thousands or even millions of assets in their everyday operations.
A smarter strategy for these enterprises is to take a proactive approach to maintenance, which means making regular repairs to equipment to prevent failure and outages. Many problems that occur are internal or not obvious to the naked eye, and IoT predictive maintenance detects these.
Reduce Maintenance Costs
Increase Asset Utilization
Extend Asset Life
Improve Field Crew Efficiency
Improve Safety and Compliance
Various industries can minimise downtime and increase output by integrating IoT predictive maintenance with their maintenance strategies. Some industries that heavily rely on IoT predictive maintenance include Pharmaceutical, Utilities, Transportation and Manufacturing. Virtually any industry that depends on physical assets for production can take advantage of IoT predictive maintenance.
According to a report by PwC, on average, predictive maintenance in factories could:
Reduce costs by 12%
Improve uptime by 9%
Reduce safety, health, environment, and quality risks by 14%
Extend the lifetime of an aging asset by 20%
If you are interested in starting your smart journey, get your FREE consultation now with Promptus Ltd, by visiting our homepage or contacting us via email at: email@example.com.