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M2M FEATURE NEWS

Remote Monitoring and Management Solutions Harness M2M Communication

By Special Guest
Jonathan Quint, Chairman & CEO, Ontegrity, Inc.
April 17, 2015

Businesses with geographically dispersed operations face a serious challenge when trying to improve reliability and operate efficiently while simultaneously meeting an unwavering demand for uninterrupted services. Infrastructure maintenance teams, often working with reduced staff, naturally tend to be reactive, responding to situations rather than anticipating and handling them preemptively. However, a reactive approach often proves inefficient and expensive.

To rein in costs and minimize the risk of downtime, businesses are turning to modern sensors and data analytics that enable them to monitor operations, identify trends, generate real-time alarms about site conditions, and predict—and thereby preempt—outages.

Transforming Data into Action
Machine-to-machine (M2M) communications can provide a mechanism for cost-effectively keeping systems on line by communicating with sensors to collect real-time data about site equipment and conditions. Remote monitoring and management solutions enable the capture of data related to equipment health, site access and security, environmental conditions, and energy consumption. However, the big data generated by M2M communications must be analyzed before it can be put to use effectively.

Algorithms, data mining, advanced predictive analytics, a knowledge base, and application expertise must all be applied to interpret the data. Analysis of data enables the development of concrete actions that reduce operating costs, enhance reliability, and extend asset life. It makes it possible for companies to recognize issues that demand immediate attention and to identify those that can be predicted and prevented. In short, analysis transforms data into actionable information that leads to superior performance.

Visualizing Conditions Makes Taking Action Easier and Faster
The most useful remote monitoring and management solutions enable companies to visualize the condition of their equipment. A digital web-based dashboard provides a window into equipment health, clearly displaying site conditions and alarm status, making it easier to see if corrective action is, or is not, required. However, if it only shows current status, it simply supports yet another reactive solution.

Awareness of equipment readings, the context of the readings, environmental conditions, and pertinent related equipment readings are necessary prerequisites for anticipating events and rectifying negative circumstances before they result in downtime. A remote monitoring and management solution that provides such information enables support professionals—whether in-house staff or contract-management services—to monitor sites, alert the operations center to issues, create trouble tickets, recommend the right course of action, avoid or resolve the problem, and track results through to resolution.

Translating Data into Real Business Value
A remote monitoring and management solution should enable companies to leverage historical trending and real-time data relating to site conditions, equipment baselines, operational conditions, and site audits. Such data forms the basis of expert situational analysis that produces recommendations for current and future actions.

Armed with this information, companies can sustain and prolong service availability, predict and manage site performance during emergency conditions, and minimize unplanned, reactive maintenance resulting in fewer emergency truck rolls. Further, it helps to forecast equipment and maintenance budgets and expenditures.

Non-Stop Product and Service Availability
Remote monitoring and management solutions provide a clear picture of current conditions and asset health. However, the goal for those using such tools is to gain insight into future conditions and future performance of critical assets. The most effective monitoring solutions utilize predictive analytics to transform data into actionable information. This helps operational teams determine the steps essential to providing the non-stop product and service availability their customers demand.




Edited by Ken Briodagh
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