Infrastructure around the world is being linked together via sensors, machine learning and analytics. We examine the rise of the digital twin, the new leaders in industrial IoT (IIoT) and case studies that highlight the lessons learned from production IIoT deployments. Honeywell will acquire life sciences software company Sparta Systems for $1.3 billion in a move that will expand the reach for the Honeywell Forge platform. Sparta Systems features quality management software delivered as a service with artificial intelligence. Honeywell's plan is to leverage Sparta Systems and combine it with the Forge platform and Experian Process Knowledge System to expand more into life sciences.
Artificial intelligence (AI) provides a wide range of current society applications, including predicting, classifying, and solving both social and scientific problems. As one of the oldest and most traditional engineering disciplines, civil engineering covers various aspects of the built environment, from design and construction to maintenance. Civil engineering offers ample practical scope for applications of AI. In turn, AI can improve human life quality and originate novel approaches to solving engineering problems. AI methods and techniques, including neural networks, evolutionary computation, fuzzy logic systems, and deep learning, have rapidly evolved over the past few years.
The need for Energy Savings has become increasily foundamental to fight Climate Change. We have been working on a cloud-based RL algorithm that can retrofit existing HVAC controls to obtain substantial results. In the last decade, a new class of controls which relies on Artificial Intelligence have been proposed. In particular, we are going to highlight data-driven controls based on Reinforcement Learning (RL), since they showed from the very beginning promising results as HVAC controls . There are two main ways to upgrade with RL the air conditioning systems: to implement RL on new systems or to retrofit the existing ones.
The better the construction site's real-time safety and security monitoring, the more flexible ... [ ] construction processes become. Bottom Line: AI and machine learning are reducing construction site accidents, theft, vandalism and hazardous operating conditions by analyzing 24/7 video feeds in real-time, gaining new predictive insights and contextual intelligence into threats. According to the National Equipment Register, construction theft losses often exceed $1B a year. The latest model equipment, tools and supplies are the most stolen and the least likely to recover. Only 25% of stolen construction equipment is recovered.
When it comes to the construction industry machine learning means many things. However, at its core, it all comes back to one thing: data. The more data that is produced through telematics, the more advanced artificial intelligence (AI) becomes, due to it having more data to learn from. The more complex the data the better for AI, and as AI becomes more advanced its decision-making improves. This means that construction is becoming more efficient thanks to a loop where data and AI are feeding into each other.
Siemens Energy will supply new controllers and other major upgrades as part of an extended service agreement for a Dubai power plant. Dubai Electricity and Water Authority (DEWA) signed Siemens to a new, 20-year long-term service agreement. The service term calls for a wide array of upgrades and supply of new technologies. Among those, Siemens Energy will supply an intelligent controller for each of the four SGT5-4000F gas-fired turbines at the Jebel Ali L2 power and water station. This includes the SPPA-T3000 control system, as well as services for the plant's generators and tools to improve operational flexibility and reduce outage times.
It's fair to say that a typical construction project generates a colossal amount of data. Any project – from a small retrofit to a 100-acre tech campus – requires the creation and sharing of untold data during the lifecycle of the project. Unfortunately, many teams struggle to manage and disperse this information effectively. The poor management that inevitably results for companies that don't have a system in place can lead to errors, rework, missed deadlines, cost overruns, bruised feelings, and even litigation. The good news: there are ways to resolve construction's data overload.
It's been a decade since construction players began embracing digital solutions. In the early- to mid-2010s, thousands of new market entrants offered point solutions that served existing use cases or, in some instances, created new ones. The first widely adopted construction point solutions addressed basic needs; for example, improving design capabilities or digitizing paper-based information. By the second half of the decade, industry players--spurred by end-customer feedback about their difficulty integrating point solutions--began expanding their product portfolios to create suites of integrated solutions. While the construction technology industry is still filled with players offering point solutions or limited suites, our latest annual effort to map and understand the construction technology landscape reveals that the industry is moving toward platforms and predicts that a combination of multiple platforms will coexist in the space.
Conceiving, designing and sustaining the built environment are among the greatest challenges of the 21st century. Now TUM has founded the "TUM Georg Nemetschek Institute Artificial Intelligence for the Built World" to conduct research on this future-oriented technological focus area. TUM recently founded the Munich Data Science Institute (MDSI) as a core element of its TUM AGENDA 2030 with the objective of using the integration of Data Science in specific application fields to leverage new innovation potentials. The financial support from the Nemetschek Innovation Foundation will help accelerate the TUM development strategy as defined in the framework of the Excellence Strategy of the German federal and state governments. Thus the institute will cover the entire lifecycle of buildings and infrastructure elements.
The Cielo Breez Eco Smart AC Controller is the knight in shining armor you need to make your ductless cooling system more high-tech. This device allows you to operate your remote-controlled cooling unit, like a window or mini-split air conditioner, from your smartphone. It can be mounted on the wall or placed on a desk or table; then, you can use the thermostat's companion app to make the most of its features, which include scheduling, location-based control, and access to filter status and usage history. Want your air conditioner to come on right before you arrive home after a long work day or social outing? Turn on the geo-fencing feature, set your preferred conditions, and your ideal room conditions will await you.