Preserving up to 50% More Cooling Energy

One of the largest challenges that data center owners face is streamlining cooling equipment energy consumption while ensuring that servers operate in the optimal environment. A state-of-the-art platform with wireless technology was created to automate the process of establishing the right balance. Our engineers sought to design a turnkey solution that collected data from a wireless sensor network at regular intervals, and, depending on the outcome, automatically adjusts cooling power when necessary.

Our team was asked to develop a software suite for collecting data from different sensors, calculating metrics and representing finding in easy-to-use graph-like formats. The software would gather information about temperature and humidity through sensors installed in server racks, monitor data center environments and generate thermal maps and alerts to data center engineers.

Our engineers developed a solution that performs monitoring and dynamic adjustment of environmental conditions based on real-time sensor data. In compliance with the customer’s requirements, the architecture also allows the software to operate both as a central management platform and a part of larger control solutions. Upstream and downstream data channels support pluggable protocol handlers, including wireless sensors, BACnet, Modbus and SNMP devices.

Furthermore, the software enables on-the-fly floor plan reconfiguration, dynamic sensor addition or removal, and the ability to work in a failover cluster. The user interface providing real-time monitoring and total control over the environmental conditions is fully localizable. It can be easily adapted to different languages and units of measurement (metric or US customary) depending on user’s preferences.

Our experts completed the task on time; the cost-effective solution requires minimal investment in equipment and delivers all the benefits of cooling management system automation. After implementing the solution, data centers save up to 50% of cooling energy, which results in a significant reduction of general expenses.

System Architecture

• A wireless sensor network with up to several millions of sensors
• Gateway bridging all the equipment into a single network
• Environmental equipment included (air conditioner, air handler, CRAC/CRAH)
• Server performs real-time environmental adjustment

System Architecture

• Room temperature dynamic map
• Historical database, analytics and customizable reports
• Automatic CRAC/CRAH parameters control by predefined patterns
• Network health monitoring, device settings and firmware update

Server performs real-time envTechnologies:

Backend:

• Java EE

Database:

• MySQL
• MirandaDB

DevOps:

• Drools

Other:

• CUDA