In the construction industry, the use of artificial intelligence has become a reality. The concept of smart buildings mainly uses Internet technology to realize the interconnection and perception of building facilities, and uses cloud platforms and big data to realize intelligent management. For smart buildings, artificial intelligence technology mainly simulates human thinking and wisdom patterns to make the building's wiring control and integrated management stronger and more intelligent. This study analyzes the application of new artificial intelligence technologies in smart buildings and introduces the main advantages of artificial intelligence in smart buildings, with the hope that emerging technologies of artificial intelligence will have more in-depth applications in my country's construction industry.
With economic development and scientific and technological progress, information technology has brought great changes and convenience to our lives. Artificial intelligence is increasingly used in our lives, ranging from smartphones to aerospace industries. In the 1980s, the term intelligent building was first proposed internationally. Since the 1990s, my country has gradually begun to mention the concept of intelligent building, transforming my country's traditional building concepts into emerging smart buildings. Smart buildings mainly use smart networks and smart information technology to organically combine the structure, layout, management and services of building infrastructure to provide a more convenient, faster and comfortable environment. So, what impact does AI have on the construction industry?
Software tools and programs now make building calculations and environmental analysis a simple task. Today, architects have so much data at their fingertips that extracting information such as temperature and weather data, material grades, and more—all of which would otherwise take a lot of time to compile—can be done much more easily.
Smart technology also offers architects a way to incorporate sustainability into their designs, with solutions such as smart lighting or smart stormwater management systems being incorporated into the blueprint, ensuring better sustainability from the start. sex. Even ten years ago, none of this would have been possible. But with the spread of technology, it has become possible to take on larger projects as they can draw on the internet and all the resources at their fingertips to develop proposals.
New materials with sensors are widely used in the exterior walls, interior walls and decorations of buildings. These materials On the one hand, it provides functions such as structure, thermal insulation, light environment, air circulation, air purification, and decoration. On the other hand, it also dynamically collects and uploads environmental quality information at each location. When environmental quality changes occur, especially those that may affect people's work, Issue an early warning when the living health level is high, and initiate corresponding plans to adjust the environment, thereby providing a continuously healthy, comfortable and warm space environment. This research field belongs to the category of green intelligent buildings, and the system composed of these new materials + sensors + dynamic monitoring and control systems, as well as external building automation systems, intelligent lighting systems, etc. can be called the "breathing system" of the building ” and “skin”. The value of artificial intelligence in these systems is that the system will analyze and judge the overall and local conditions of the space environment based on real-time data from the building's exterior walls and sensors inside, and provide a system adjustment plan after calculation. Run in the set feasible mode.
Artificial intelligence has changed the way the retail supply chain operates. It reduces production downtime, reduces over-supply, and increases Predictability of shipments – all of which significantly reduces costs, logistical burden and variability. As modular and prefabricated structures become more common, supervised learning applications (e.g., gradient-boosting trees) will be directly applicable to E&C. Due to the large volume of materials, more and more projects are using off-site construction and the need for greater supply chain coordination will be key to controlling costs and overall cash flow.
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