A New Approach to Sensor Network Control
AIM Systems Network takes a new approach to controlling your sensor network by ensuring the building automation network controller is "load balanced" under heavy network loads or demands. Load balancing is critical when pushing petabytes of data from various buildings throughout the network. Furthermore, our customizable controller allows network provisioning in minutes rather than days, saving hundreds of cumulative labor hours. This frees up your provisionary workload, allowing your staff to focus on other areas of your network.
Our network works perfectly with your existing systems. We ensure our sensor network control technologies integrate seamlessly with other network protocols via a gateway, including:
Utilizing building analytics helps you manage your entire energy portfolio and resolve building operational issues through the use of real-time information. Trending allows you to identify the root causes of problems. Diagnostics give you the ability to determine individual and overall equipment performances, which optimizes energy usage. Powerful algorithms help you turn this information into actionable intelligence. Our network continuously reviews the performance of one piece of equipment or compare hundreds of facilities around the world. This allows you to monitor and report on energy efficiency, pinpoint equipment that's wasting energy, and assess the effectiveness of retrofit projects.
Cloud-Based Data Analytics for Efficient Energy Management
AIM Systems Network's interfaces to wireless lighting products that are Title 24 compliant and focus on energy management for building automation. Our engineering and energy consulting services support your project from conceptualization through installation and commissioning. Furthermore, our software and services can help support LEED accreditation.
Our software provides a unified control point in the network, simplifying management, provisioning, and orchestration. At the same time, the sensors collectively gather and process data, enabling analytics that transform the raw data into actionable information for energy usage optimization in buildings.