Climate Control with Real Time Analytics

By combining smart infrastructure with real time analytics processing, your smart building can gather huge amounts of data in order to make second-by-second alterations to the temperature and air quality in each individual room of your building.

For instance, imagine if the mysterious draft chilling your tenants every Wednesday at 3:00pm was
being caused by a high-speed elevator creating an air vacuum. A correlation that could take weeks for a building manager to come across would be obvious to an algorithm within seconds using real time analytics.

It is impractical to achieve this advanced level of smart climate control manually. Internet of things applications can ensure not only maximum comfort for tenants, but that energy is being used efficiently across the facility.

With occupancy sensors integrated into your smart infrastructure, you can ensure that no heat or air conditioning is wasted on empty rooms. Additionally, real-time analytics can quickly identify anomalies, and even eliminate them.

How Climate Control with Real Time Analytics Works

1. Data Acquisition

Compiles big data using sensors and Internet of things applications integrated into your smart infrastructure.

2. Data Analysis

Processes the wide variety of data on a second-by-second basis to identify anomalies and contributing variables.

3. Eliminate Inefficiencies

Once the cause of the inefficiency is identified, your smart building will either eliminate it automatically, or generate an action plan for manual removal.

With real time analytics and fault detection integrated into your smart building technology, climate control to an unheard-of level is possible.

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