As the cost for “Big Data” is driven down, more and more organizations are looking to embed sensors within critical infrastructure where the value add is irrefutable. The conversation is turning now to ‘Data Transformation’ & Artificial Intelligence (AI) as a key accelerant of an organization’s digitization. Recognizing early symptoms of malfunction and being able to predict when remedial action is required allows businesses and governments to avoid failure and resultant downtime; this facilitates huge cost savings from the more efficient use / increased uptime that can be derived from continuous monitoring.
A seismic global shift is occurring which will affect every industry and particularly large-scale organizations with 24x7 operations and high downtime costs; COVID-19 rapidly pushed organizations to consider more remote, digital-first options. The Industrial Internet of Things (IIOT - embedded sensors, software, and other technologies to connect and exchange data) is paramount for critical mechanical machinery and electrical infrastructure when organizations are looking to strategically weather all types of disruption.
Sound far-fetched? It’s already happening. Billions of dollars are being invested by the giants of the internet world in both A.I. and cloud platforms. Cisco is predicting that cloud traffic will quadruple within the next 3 years. Global OEMs are also racing to position themselves in readiness for the next chapter in the “Data Revolution”.
Gartner research estimates that by 2022, 90% of corporate strategies will explicitly state that information and analytics are essential requirements, critical to their organizations.
The adoption challenges can seem steep from an end-user perspective – how do you avoid building obsolescence when specifying new build projects and how do you bring existing assets up to date?
The first step is simple: sensors.
This whitepaper outlines how, within the physical environment of critical electrical infrastructure, sensors and continuous thermal monitoring technology can detect and predict compromised joints/terminations. The output of 24x7 thermal monitoring can be used to provide real-time information, to input to other systems for analytics, or as markers to initiate automated processes as organizations pivot further towards data transformation.
The selection of sensor technology to embed in electrical equipment is of critical importance to end-users. Those wishing to avoid significant future on-costs from sensor technologies that require either maintenance or replacement during the life of the electrical equipment should read the whitepaper research: