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What is M2M:
If your vehicle could talk.
- I’m on time for delivery .
- I’m driving too fast.
- My engine need tune up! etc
What would you say?
Above is a example of Machine to machine(M2M).
Machine to machine (M2M) is a broad label that can be used to describe any technology that enables networked devices to exchange information and perform actions without the manual assistance of humans.
M2M refers to direct communication between devices using any communications channel, including wired and wireless.
Machine to machine communication can include industrial instrumentation, enabling a sensor or meter to communicate the data it records (such as temperature, inventory level, etc.) to application software that can use it (for example, adjusting an industrial process based on temperature or placing orders to replenish inventory).
M2M communication is often used for remote monitoring. In product restocking, for example, a vending machine can message the distributor when a particular item is running low. M2M communication is an important aspect of warehouse management, remote control, robotics, traffic control, logistic services, supply chain management, fleet management and telemedicine. It forms the basis for a concept known as the Internet of Things (IoT).
Products built with Machine to Machine communication capabilities are often marketed to end users as being “smart.”
Such communication was originally accomplished by having a remote network of machines relay information back to a central hub for analysis, which would then be rerouted into a system like a personal computer.
Key components of an M2M system include sensors, RFID, a Wi-Fi or cellular communications link and autonomic computing software programmed to help a networked device interpret data and make decisions.
M2M wireless networks can use to improve the efficiency and production of machines, to increase the reliability and safety of complex systems, and to encourage the life-cycle management for key assets and products.
The following goals can be achieved or improved by applying Prognosis and Health Management (PHM) techniques in machine networks,
- Health management of a fleet of similar machines.
- Near-zero downtime performance of machines and system.
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