Fundamentally, remote monitoring is the ability to gain insight into machine and or equipment health status, performance, and behavior patterns. Accomplished through a combination of Internet of Things (IoT) technology and cloud based computing. All of this achieved from a considerable distance, hence the “remote”.
So how does it work?
Traditionally, remote monitoring involved equipment and or machine data being captured on a continuous basis. However, the reviewing of the data would be done so manually and incrementally. Usually the frequency in which status and performance data would be reviewed would depend on the age and the projected durability, as well as the cost of the asset too. Impact resulting from downtime would also require consideration too. Maintenance operators and service technicians may wish to review data and perform checks and inspections, this off of what the analytics are showing.
To contrast this, remote monitoring today, mainly relies on 3 key aspects: Connectivity (in most cases) in order to capture data, a place to process as well as store the data, and mechanisms for alerting, notifying and presenting data in a way that it can be actioned.
The process of remote monitoring will start with sensors that are attached to the equipment or machinery and that will then relay a consistent stream of the required performance data. Remote monitoring technology can even be easily inserted into newly assembled equipment and machinery if required.
For older mechanisms, the technology can easily be added onto the existing structures too. When dealing with new the collection of data from various sites this will always include industrial connectivity and will be best approached by having a plethora of different devices as well as a platform that is built to accommodate any type of premises, regardless of how complex or unique the environment may be.
The following step will involve the processing of and storage of data. In most cases the data will be sent directly to the cloud based platform but if required, data can also be processed then and there, and in turn enable the transmission of data that can be actioned within the cloud based platform. From there, the IIoT platform will take custody of the data, allowing its use for analysis and logging reports or for other remote monitoring analytical applications.
Delivery of actionable data is also crucial, and this will often involve dashboards, applications or mobile alerts and notifications. The exact form of this actionable data will almost always be determined by the type of role the remote monitoring has been programmed to undertake, or the type of equipment and machinery being monitored. The common theme being that the monitoring applications are delivering actionable data in live real-time form.
Remote monitoring solutions that have been built on the leading applications will in most cases lead to greater understanding and greater intelligent insight.
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