Smart building sensors are much more than motion detectors and provide one of the best sources of data capture for predictive analytics.
Predictive analytics leverage physical data, like temperature, lighting level, humidity and occupant locations, to gather actionable information about a facility. However, predictive analytics would not be possible without smart building sensors, using the Internet of Things (IoT). Unfortunately, devices using the IOT are subject to potential problems based on reliability, cybersecurity risk, and other challenges. However, the potential benefits outweigh the risks and drive data capture for predictive analytics.
Smart Building Sensors Leverage Different Collection Methods
Smart building sensors are much more than a motion to consumers. The best sensors combine IP cameras with video analytics determine occupant location. However, the processing power needed to make such determinations is impractical. However, smart building sensors leverage similar factors, without the burden of performing additional video analytics in a centralized location, reports Itamar Roth of Smart Buildings Magazine.
Cost-Effective, Smart Building Sensors Perform Analytics In Real-Time, and Output Meaningful Data
Smart building sensors are cost-effective by performing advanced analytics on-board. In other words, the sensor itself uses analytics to generate data, which also reduces the perception of privacy invasion and cybersecurity risk. In other words, the device only outputs the processed data, so deployment is easier.
Self-Learning and Self-Optimizing Enable Better Future Modeling
Another benefit of smart building sensors involves their ability to self-learn and self-optimize. Self-learning and self-optimizing mean sensors are intuitive and improve in efficiency and accuracy as more data is gathered.
Smart Sensors Offer Agility With Low-Cost Processing Power
Smart sensors also provide agility in implementing and integrating predictive analytics. Since smart sensors reduce the processing power necessary, additional resources can be used to derive actionable insights at a centralized location. This enables facilities managers to make strategic, data-based decisions.
Smart Sensors Use Real-Time Data Capture for Real-Time, Accurate Forecasting
Strategic decisions are only as valuable as the most recent analysis of data, and smart sensors capture real-time data to provide real-time, accurate forecasting and modeling. In a sense, forecasting and modeling are two sides of the predictive analytics’ coin.
Overcome Traditional Obstacles to “Smart Buildings”
Traditional barriers to smart buildings, like the demand for extreme processing power, trouble integrating sensors and cybersecurity risks in networking can make predictive analytics seem far-fetched. However, wireless technology within the IoT ecosystem have built-in mechanisms to support rapid integration and connection to your existing systems, reports Sensors Online.
T-based sensors will continue enabling facilities managers seeking to take advantage of predictive analytics.
Install Modern Smart Building Sensors Now to Take Advantage of Predictive Analytics
Predictive analytics have wide-ranging benefits in facilities management, including reducing costs and extending HVAC life expectancy. However, predictive analytics requires a vast network of IoT-enabled smart sensors to function. To learn more about how to retrofit or upgrade your existing systems with IoT-sensors, contact ENTOUCH online today or by calling 1-800-820-3511.