Smart buildings – how will it impact the future?
As the world of technology and architecture develops, we are getting closer and closer to imagined future science fiction. We may not be gliding on hovercrafts yet, but if the construction industry is anything to go by, there are some amazing innovations coming out.
Smart technology, or “self-monitoring analysis and reporting technology,” is currently transforming the construction industry and informing how we will live our lives in the coming years.
Based on connectivity and analytics, smart technology allows devices to connect to each other and share information, whether it’s about the wearer, location or anything else.
We are all used to smart technology in our daily lives – where would we be without phones, tablets and smartwatches? But as our cities and infrastructure evolve, the construction industry is integrating smart technology into every industry.
From smart refrigerators to smart metropolises, let’s take a look at how smart technology continues to change our world and how the construction industry is taking advantage of it.
INTELLIGENT BUILDING
Imagine a building that can respond to its inhabitants, changing itself slightly to suit your every need, without even a light touch You can do it all with the flip of a switch. Smart technology has made this possible. In a smart building, a specially designed wearable device can transmit information to the building and adjust it to your needs.
Smart buildings are designed around the concepts of comfort and happiness, focusing on people's satisfaction. For example, if you start to feel a little too hot, your wearable device will transmit this information to the air conditioning system, which will adjust the temperature for you.
However, this design certainly has its complications. For example, how does a building respond to the needs of everyone in it? One option is to take an average reading for each resident and create a reactive "average" atmosphere. Alternatively, highly accurate sensors could be installed that can pinpoint and respond to specific individuals.
Drones and Artificial Intelligence
Drones and artificial intelligence will also play an integral role in the future of the construction industry. Drones are already being used to map construction sites, plan work, and guide autonomous vehicles like cherry pickers around construction sites. In fact, it only takes about 15 minutes for a drone to scan a location and map its terrain. In comparison, this work usually takes several days.
Smart technology works to share data collected from a bird's-eye view by drones with self-driving cars on the ground, then allowing the cars to act on their own without human intervention.
SMART CITIES
It won’t stop at buildings and certain construction sites – smart technology will transform entire cities, creating incredible things everywhere information and analysis network. Similar to smart buildings, smart cities aim to monitor systems and citizens while working to improve the flow of the city, thereby increasing overall well-being.
Many cities around the world have turned to smart technology and experimented with ways to improve transportation systems, energy use and public safety. Amsterdam, Boston and Baltimore are three early adopters of smart infrastructure, which so far has proven helpful for many things, including "smart trash cans" that can determine the most efficient route for sanitation workers.
These smart technology methods are also being tested on a small scale. For example, college campuses often function as micro-cities and are therefore perfect testing grounds for smart city technologies. In a "smart campus," each student's smartwatch can remind them of their next class, let them know library books need to be returned, keep you up to date on assignments, and more. The future of the construction industry is certainly bright and starting to reflect everything imagined in science fiction. Smart technologies will take our infrastructure to dizzying new heights as we embrace new “smart” lifestyles.
The above is the detailed content of Smart buildings – how will it impact the future?. For more information, please follow other related articles on the PHP Chinese website!
Hot AI Tools
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Undress AI Tool
Undress images for free
Clothoff.io
AI clothes remover
AI Hentai Generator
Generate AI Hentai for free.
Hot Article
Hot Tools
Notepad++7.3.1
Easy-to-use and free code editor
SublimeText3 Chinese version
Chinese version, very easy to use
Zend Studio 13.0.1
Powerful PHP integrated development environment
Dreamweaver CS6
Visual web development tools
SublimeText3 Mac version
God-level code editing software (SublimeText3)
Hot Topics
1377
52
Bytedance Cutting launches SVIP super membership: 499 yuan for continuous annual subscription, providing a variety of AI functions
Jun 28, 2024 am 03:51 AM
This site reported on June 27 that Jianying is a video editing software developed by FaceMeng Technology, a subsidiary of ByteDance. It relies on the Douyin platform and basically produces short video content for users of the platform. It is compatible with iOS, Android, and Windows. , MacOS and other operating systems. Jianying officially announced the upgrade of its membership system and launched a new SVIP, which includes a variety of AI black technologies, such as intelligent translation, intelligent highlighting, intelligent packaging, digital human synthesis, etc. In terms of price, the monthly fee for clipping SVIP is 79 yuan, the annual fee is 599 yuan (note on this site: equivalent to 49.9 yuan per month), the continuous monthly subscription is 59 yuan per month, and the continuous annual subscription is 499 yuan per year (equivalent to 41.6 yuan per month) . In addition, the cut official also stated that in order to improve the user experience, those who have subscribed to the original VIP
Context-augmented AI coding assistant using Rag and Sem-Rag
Jun 10, 2024 am 11:08 AM
Improve developer productivity, efficiency, and accuracy by incorporating retrieval-enhanced generation and semantic memory into AI coding assistants. Translated from EnhancingAICodingAssistantswithContextUsingRAGandSEM-RAG, author JanakiramMSV. While basic AI programming assistants are naturally helpful, they often fail to provide the most relevant and correct code suggestions because they rely on a general understanding of the software language and the most common patterns of writing software. The code generated by these coding assistants is suitable for solving the problems they are responsible for solving, but often does not conform to the coding standards, conventions and styles of the individual teams. This often results in suggestions that need to be modified or refined in order for the code to be accepted into the application
The largest domestically produced unmanned transport aircraft successfully made its maiden flight: equipped with China Aviation Engineering Group's AEP100-A engine
Aug 23, 2024 am 07:32 AM
According to news from this website on August 22, China Aviation Engine Group Co., Ltd. issued an official announcement today. At 6:28 today, the 900-kilowatt turboprop engine AEP100-A, which was completely independently developed by China Aviation Industry Corporation, powered the SA750U large unmanned transport aircraft in Shaanxi. Successful first flight. According to reports, the AEP100-A turboprop engine was designed by the China Aerospace Engineering Research Institute and manufactured in the South. It has the ability to adapt to high temperatures and plateaus. It uses three-dimensional aerodynamic design and unit design technology to provide power for aircraft while improving fuel economy. Improve overall aircraft operating efficiency. The AEP100 turboprop engine series can be equipped with 2 to 6 ton general-purpose aircraft or 3 to 10 ton unmanned aerial vehicles, and its comprehensive performance has reached the international advanced level of the same level currently in service. This site reported earlier
Can fine-tuning really allow LLM to learn new things: introducing new knowledge may make the model produce more hallucinations
Jun 11, 2024 pm 03:57 PM
Large Language Models (LLMs) are trained on huge text databases, where they acquire large amounts of real-world knowledge. This knowledge is embedded into their parameters and can then be used when needed. The knowledge of these models is "reified" at the end of training. At the end of pre-training, the model actually stops learning. Align or fine-tune the model to learn how to leverage this knowledge and respond more naturally to user questions. But sometimes model knowledge is not enough, and although the model can access external content through RAG, it is considered beneficial to adapt the model to new domains through fine-tuning. This fine-tuning is performed using input from human annotators or other LLM creations, where the model encounters additional real-world knowledge and integrates it
Seven Cool GenAI & LLM Technical Interview Questions
Jun 07, 2024 am 10:06 AM
To learn more about AIGC, please visit: 51CTOAI.x Community https://www.51cto.com/aigc/Translator|Jingyan Reviewer|Chonglou is different from the traditional question bank that can be seen everywhere on the Internet. These questions It requires thinking outside the box. Large Language Models (LLMs) are increasingly important in the fields of data science, generative artificial intelligence (GenAI), and artificial intelligence. These complex algorithms enhance human skills and drive efficiency and innovation in many industries, becoming the key for companies to remain competitive. LLM has a wide range of applications. It can be used in fields such as natural language processing, text generation, speech recognition and recommendation systems. By learning from large amounts of data, LLM is able to generate text
To provide a new scientific and complex question answering benchmark and evaluation system for large models, UNSW, Argonne, University of Chicago and other institutions jointly launched the SciQAG framework
Jul 25, 2024 am 06:42 AM
Editor |ScienceAI Question Answering (QA) data set plays a vital role in promoting natural language processing (NLP) research. High-quality QA data sets can not only be used to fine-tune models, but also effectively evaluate the capabilities of large language models (LLM), especially the ability to understand and reason about scientific knowledge. Although there are currently many scientific QA data sets covering medicine, chemistry, biology and other fields, these data sets still have some shortcomings. First, the data form is relatively simple, most of which are multiple-choice questions. They are easy to evaluate, but limit the model's answer selection range and cannot fully test the model's ability to answer scientific questions. In contrast, open-ended Q&A
SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time
Jul 17, 2024 pm 06:37 PM
Editor | KX In the field of drug research and development, accurately and effectively predicting the binding affinity of proteins and ligands is crucial for drug screening and optimization. However, current studies do not take into account the important role of molecular surface information in protein-ligand interactions. Based on this, researchers from Xiamen University proposed a novel multi-modal feature extraction (MFE) framework, which for the first time combines information on protein surface, 3D structure and sequence, and uses a cross-attention mechanism to compare different modalities. feature alignment. Experimental results demonstrate that this method achieves state-of-the-art performance in predicting protein-ligand binding affinities. Furthermore, ablation studies demonstrate the effectiveness and necessity of protein surface information and multimodal feature alignment within this framework. Related research begins with "S
my country's first large-scale unmanned transport aircraft with a load exceeding 3 tons, the 'SA750U', successfully made its maiden flight, with nationally produced systems and materials
Aug 23, 2024 am 07:31 AM
According to news from this site on August 22, according to the official public account of "Shanhe Huayu", at 6:28 today, the SA750U large unmanned transport aircraft independently developed by Sunward Huayu Aviation Technology and completed by the strategic coordination of Sunward Star Airlines flew from Jingbian, Xi'an. The experimental drone test center successfully made its first flight. ▲Picture source "Shanhe Huayu" official public account, the same as below. According to reports, during the 40-minute flight test, all system equipment of the aircraft worked normally and were in good condition. The attitude of the aircraft was stable and the performance met the design specifications. After completing the scheduled flight subjects Afterwards, the plane returned smoothly and the first flight was a complete success. The SA750U is my country's first large-scale unmanned transport aircraft with a load of over 3 tons. It only took Shanhe Huayu Company 2 years and 8 months to complete the entire process from concept design to the successful first flight of the first aircraft.
