Most commercial buildings today integrate a number of different systems, ranging from power distribution to heating and cooling to physical security. Perhaps no facility is a better example than the data center. In addition to maintaining the type of environment that enables employee productivity, the data center must also enable continuous (and, preferably, efficient) operation of sensitive IT equipment and networks. But keeping eyes on all the systems necessary for a functioning data center is virtually impossible—unless you go the route of automation using some form of management system.

Building Energy Management Systems (or BEMS) are computer-based systems that help to manage, control and monitor building technical services (HVAC, lighting etc.) and the energy consumption of devices used by the building.

Signals Control is ready to help you achieve an optimum data center solution – reliable, efficient, and cost-effective – for one location or many. A solution that provides you with the control, flexibility and security you need to manage the growing volume of data your business requires.

Basic DCIM components and functions include:
  • A Single Repository: One accurate, authoritative database to house all data from across all data centers and sites of all physical assets, including data center layout, with detailed data for IT, power and HVAC equipment and end-to-end network and power cable connections.
  • A Holistic Approach: Bridge across organizational domains – facilities, networking and systems, filling all functional gaps; used by all data center domains and groups regardless of hierarchy, including managers, system administrators and technicians.
  • Visualization: Graphical visualization, tracking and management of all data center assets and their related physical and logical attributes – servers, structured cable plants, networks, power infrastructure and cooling equipment.
  • Real-Time Data Collection: Integration with real-time monitoring systems to collect actual power usage/environmental data to optimize capacity management, allowing review of real-time data vs.assumptions around nameplate data.
  • Capacity Planning: Capacity planning tools to determine requirements for future floor and rack space, power, cooling expansion, what-if analysis and modeling.
  • Provisioning New Equipment: Automated tools to support reliable deployment of new systems and related physical and logical resources.
  • Process-Driven Structure: Change management WorkFlow procedures to ensure complete and accurate adds, changes and moves.
  • Asset Discovery and Asset Tracking: Tools to capture assets, their details, relationships and interdependencies.
  • Reporting: Simplified reporting to set operational goals, measure performance and drive improvement.
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