AutomatedBuildings.com Editorial

What is Performance Software? If you do not know you need to find out, because the market for Performance Software in Smart Buildings generated $12.72Bn in 2015, and will grow at a CAGR of 8.1% to $18.78Bn by 2020. It is made up of the below categories;

Energy Software in Smart Buildings, Enterprise Energy Management Systems, Smart Building to Smart Grid Interface Software, Software for Security and Fire Systems & Property Management Software.

So how is this evolving with self learning? Every software cloud service provider is now looking at how they can use machine self learning from their collected big data to enhance their services and provide more value.

From IBcon keynote Cade Metz WIRED senior staff writer; While recently covering the match between Google’s Artificial Intelligence (AI) platform, Deep Mind and the Korean Go Master Champion Lee Sedol, in which the AI platform, “capable of mimicking intuitive thought,” beat the human opponent four out of five times. Cade was able to observe and witness not only the technological breakthrough, but also the reaction of the world class technologists participating in the challenge.

The approach was to collect and analyse the big data by watching and recording the moves of several master players and then mimicking intuitive thought while playing the game.

I just returned from an amazing IBcon event in the silicon valley, San Jose. Be sure to read My take IBcon 2016

More to last month's article: Machine Learning in HVAC Controls Mike Donlon, Computrols. Mike is presenting at the BOMA conference in DC. Here is his Elevator Speech: Artificial intelligence and machine learning technologies are rapidly evolving. With significant advancements in these technologies buildings are becoming smarter and smarter. Smart building control systems are on the cusp of utilizing these technologies to reduce operating cost and provide significant value to building owners, property management, and building engineers. This presentation will introduce these new computer techniques and show how they are being applied in the HVAC industry.

Infusing Machine Learning with Artificial Intelligence As anyone who endures a call with an automated customer “help line” quickly learns, robots have a frustrating inability to understand sarcasm. - Sophie Loire, Ph.D., Research and Technology Fellow, Chris Tagge, Ph.D., CEO, Igor Mezic, Ph.D., Chief Scientific and Technical Advisor, Co-Founder, Ecorithm, Inc.

Software combines several key elements of artificial intelligence with machine learning to rapidly and automatically identify and classify building data with exceptional accuracy. Similar to the metadata embedded in the communication example described above, each time series of building data and its underlying dynamic can be completely described by a set of triplets corresponding to its magnitude (similar to volume, this is the height of the oscillation), period (similar to pitch, this is the time scale of the oscillation), and phase (similar to timing, this is the starting point alignment of two time series of data with respect to a common time origin). The result is called the spectral pattern, which provides an automatically measurable and classifiable signature of behavior.

The Strategy and Payoffs of Meta-Data Tagging Value creation is happening in the buildings industry as systems integrators transition to an open, industry-standard methodology for meta-data tagging and data modeling. - B. Scott Muench, Vice President of Marketing & Business Development, J2 Innovations

Summary; With software that leverages tagging and data modeling, we are beginning to greatly reduce the number of mouse clicks required to implement a solution. Following Muench’s Corollary to Metcalfe’s Law, this streamlining of the user experience is unlocking the true value of a connected system. Participation in Project Haystack is giving property managers, building owners and system integrators a big head start in the establishment of an in-house point taxonomy. They can then enforce vendor specifications that call for standardized tagging and data modeling across a portfolio and for all aspects of building operations. Project Haystack is supported by an active and growing open-source community of developers who are collaborating on improving its definitions and modeling methodology. For all these reasons, it is the most future-proof approach to monetizing your building data.

Edge-Analytics Sensors For Smart Buildings Smart sensors are crucial devices for enabling next-generation building automation, providing the actionable data that optimize building operations, conserve energy and boost workplace intelligence. - Itamar Roth, Chief Business Officer, PointGrab

It is a brave new world in which we need to understand the importance of; Performance Software Evolving with Self Machine Learning.

As always this new issue is an amazing resource of great articles, columns, reviews, new products, interviews and of course the steady stream of news depicting our rapid evolution and Self Learning journey.

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