Closed-loop control manages your cooling infrastructure.
The Vigilent Dynamic Cooling Management® System is designed from the ground up to meet the most demanding requirements of mission critical facilities. It deploys quickly and with minimal to no interruption to ongoing operations or tenants. And its components are fine-tuned to work together to deliver optimum cooling efficiency while dramatically saving on energy costs.
Here’s a look at the key components of the system and their roles in creating a comprehensive approach to cooling optimization.
Wireless sensors are used to collect return and discharge temperature readings every minute, and are placed at strategic locations throughout a facility to measure input and output temperatures. Typically they are applied using fasteners, and can be stuck on walls, racks or devices. When used in a data center, two remote thermistors are connected to each sensor – one to capture temperature at rack bottom, the other at rack top. For administrative buildings, a wall mount version of the sensor includes an integrated thermistor.
Sensors are available to monitor a variety of environmental conditions. Temperature sensors, either rack or wall mount, are the most common. Humidity, air pressure, and power sensors are also available to monitor additional aspects of the environment.
The sensors are based on advanced mesh networking technology, which allows each node to be both a source and repeater for other nodes, allowing the network to automatically self-configure and be resilient to intermittent outages or changes in site layout.
Data from the wireless sensors is distributed over the mesh network, and aggregated by one or more network managers. A network manager can typically accommodate 150-200 sensors, subject to the layout of the facility. Each network manager is then wired with Ethernet to the same network as the AI Engine, to which it delivers data and from which it receives commands.
The AI Engine is the brain of the Vigilent system. This appliance runs the algorithms that analyze the real-time data against current and historic trends to optimize the system to achieve the best temperature results with the least amount of energy. It then sends those control decisions back out to the network manager, which delivers them to the Wireless AHU Control Modules.
AHU Control Module
As directed by the AI Engine, the control module can turn machines on or off, or adjust fan speeds, to ensure the perfect facility temperature using the smallest amount of energy. As those changes are implemented, the temperature sensors gather new temperature data, and the cycle continues again.