Introducing for the first time, hardware-enabled predictive maintenance for the manufacturing industry

Posted October 11, 2018 by InfiniteUptime

What is industry 4.0 really? And what does it mean for the manufacturing sector? These are the most asked questions today. We have the answers. Introducing, for the first time, the IoT powered and hardware enabled “Predictive Maintenance.”

-New meaning to Industry 4.0.
-A refreshing way of ensuring quality production through a patented technology by Infinite Uptime.
-A paradigm shift in how we perceive machine health monitoring.

What is industry 4.0 really? And what does it mean for the manufacturing sector? These are the most asked questions today. We have the answers. Introducing, for the first time, the IoT powered and hardware enabled “Predictive Maintenance.”

We live in a world of fear. The fear of breakdown is nothing less than a nightmare for any manufacturing company, the production managers know best. Any machinery breakdown is costly, not just in terms of money, but also in time, the use of materials as well as the human resource involved in the process. Contributing to breakdown expense is that equipment failure usually seems to occur when least expected and when that particular piece of machinery is most needed.

IT giants, over the period of time, have developed innumerable preventive mechanism, wherein measures are taken beforehand so that the chances of breakdowns are minimized. However, the chances did remain and so the need for a better process still remained.

So, predictive maintenance came into play. Predictive maintenance (PdM) techniques are designed to help determine the condition of operating equipment in order to predict when maintenance should be performed. The chances left for the breakdown in preventive maintenance are no more. The prime purpose of predictive maintenance is to allow convenient scheduling of corrective maintenance and to eliminate unexpected equipment failures. The key is "the right information at the right time". By knowing which equipment needs maintenance, maintenance work can be better planned and initiated in an effective manner i.e planning for replacing a part, spare or the machinery itself. The main components of predictive maintenance analytics are data collection and analytics that leads to early fault detection.

Infinite Uptime is the first company to introduce a product that, through high-frequency edge computing, delivers predictive maintenance analytics on the spot with real-time instantaneous data analytics. This is possible through the IDE - Industrial Data Enabler. It is a solution that can digitize any machine within a minute. The IDE is a compact, portable, battery-operated handheld device for productivity optimization and automated predictive maintenance in the industry. Through IoT (Internet of Things), it detects anomalies and defects in real time through onboard LED indicators and warns an operator immediately. The backup battery allows wireless testing and installation and never stops monitoring, even in a power outage.

Infinite Uptime is a vertically integrated solution in the industrial IoT space for operative and predictive analytics. This analytics is displayed on its IDAP (Industrial Data Analytics Platform).
-Operative analytics means analytics of machines in the industry, characterizing their operations, efficiency, and effectiveness.
-Predictive analytics means predictive maintenance, prediction of anomalous conditions well in advance, and reliability assessment which includes process reliability, process management, and overall asset reliability.

Obtaining and calculating high-frequency mechanical data, which is extremely hard, is now made possible and easily usable only with the IDE through its patented technology. Edge computing allows IDE to make sense of mechanical data in an easy and viable way. Edge computing being faster than cloud computing shows real-time high-frequency analytics. The analytics is based on data from a combination of multiple high-frequency IoT enabled sensor sources that can communicate through wifi, Bluetooth, LoRa and GPRS. This, in turn, provides frequency based analytics on the IDAP which is the best way to pinpoint the source of an anomaly.

Predictive maintenance strategies are based on the combination of operational and predictive maintenance analytics, thus enabling the prediction of machine failures before they occur. IoT and advances in analytics are driving market adoption with users of the technology reporting tremendous efficiency gains. Basically, in Industry 4.0, Infinite Uptime is a stethoscope for machines.
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Contact Email [email protected]
Issued By Infinite Uptime
Country India
Categories Manufacturing , Software , Technology
Tags Predictive Maintenance , IioT , IoT , Industry 4.0 , Machine Monitoring , Smart Factory
Last Updated October 11, 2018