Georgia Tech research: smart-building andIoT technology are highly fragmented

Georgia Tech research: smart-building andIoT technology are highly fragmented

Data gathered by traditional building systems goes overlooked because it is formats aren’t compatible with data formats used by newer IoT devices, slowing the advance of smart cities.

Credit: Max Bender / Gerd Altmann

Greater cooperation among standards bodies, corporations, city governments and other stakeholders is needed so IoT and existing smart-building technology can work together to deliver the full potential of smart cities, according to a Georgia Tech study.

The problem is that standards are lacking for current in-building systems, let alone having standards so they can share with newer IoT devices.

One vendor of automation software for, say, elevators might use a much different data format than the manufacturer of a given building’s HVAC systems, making it difficult to integrate these two critical systems into the same framework.

Part of what makes the problem of standardization at the building level so difficult is that most systems currently being used for digital facilities administration were originally designed to perform a wide range of functions. For example, the Green Building XML schema, or gbXML, was created to be a standard format for sharing CAD-based information between different building blueprints, but it’s now in use as a tool for live analysis of energy usage in smart buildings, for example.

The centralization of these myriad systems is, nevertheless, underway at the National Institute of Standards and Technology. The “IoT-Enabled Smart City Framework,” or IES-City Framework, that NIST is working on with groups in other  countries, is largely a conceptual one at this point, but highlights several potential concrete use cases for more unified standards down the line.

Some of the hypothetical use cases proposed by the Georgia Tech researchers include:

  • A facilities management system that can track whether people are occupying a given space in a building or not, allowing for better decision-making around space usage, accurate dispatch of emergency services in case of a fire or mass shooting, and even energy management, turning off computers and HVAC when spaces are unoccupied.
  • A smart screw gun that can recognize who is using it and count the number of screws used. This can help track worker productivity, maintenance information on the screw gun, and time/location data.
  • An automated maintenance and cleaning service that can dispatch Roombas to clean up automatically detected minor stains on a floor, while filing maintenance requests for larger messes.

The full report is available here.

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