As the concepts underlying the Internet of Things evolve, it becomes more clear that the term “IoT” can mean different things to different players. To a large extent this results from the background that they bring to the IoT marketplace. For example, a provider of network devices might be more oriented toward the problem of sensing and gathering data; a “cloud” service provider, in aggregating and organizing collected data and making it available to a user; and a data analytics organization would be most interested in finding useful, actionable interrelationships in the data.
Each of these roles is essential to successful utilization of an IoT application. However, integration of the elements is equally essential to that goal.
When Cimetrics decided to create the Analytika service, we understood the data sensing and collection component quite well, having supplied networking products to the building systems industry for over 20 years and participated in the development of the BACnet standard. Existing network and database software facilitated the creation of a database for aggregating the collected data – in effect, our own “cloud”.
Most of the effort in developing Analytika, then, was expended in the development of software analytical tools. Our team already included professional engineers with decades of experience in building heating and cooling systems. With their domain knowledge, we developed a suite of analytical tools that significantly increased the productivity of the analysts. These tools include algorithms for estimating energy savings, improving equipment maintenance, identifying operating problems, and many other operating factors.
The result of this work, years later, is that Cimetrics offers Analytika for Buildings, a complete end-to-end service for analyzing building performance. From this base, Cimetrics has extended our analytics capabilities into other domains. One of these, Analytika for Processes, provides Pharmaceutical and Life Science manufacturers with tools to improve product quality and process reliability while reducing energy consumption. Another, Analytika for Industrial IoT, provides sophisticated models for analysis of data from many different sources, allowing deeper understanding of cause and effect.
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