scholarly journals Study of intelligent building system based on the internet of things

2017 ◽  
Author(s):  
Liyong Wan ◽  
Renbo Xu
2013 ◽  
Vol 361-363 ◽  
pp. 263-266
Author(s):  
Bin Guan

The power supply of large number of sensors in the Internet of Things is the bottleneck technology of intelligent building. Piezoelectric energy harvesting is introduced as it is a perfect way to solve the problem. The vibration energies in intelligent building are analyzed and concluded with two important common characters. The five difficulties for the application of piezoelectric energy harvesting technology in intelligent building are introduced and solved. The module topology of energy harvester for sensor net in intelligent building application is presented.


2021 ◽  
Vol 2143 (1) ◽  
pp. 012032
Author(s):  
Jiaojiao Wu

Abstract As an important part of today’s intelligent building engineering, the construction quality of the Internet of Things system automation system largely determines the reliability, security and operation order of the engineering construction. When building the Internet of Things system, the construction personnel must strictly follow the rules and regulations and design scheme, and also strengthen the control and management of field work design, construction material quality, project processes and procedures. Based on the above requirements, combined with the current status of the project, this paper studies and discusses the improvement measures of the construction of intelligent building networking system, hoping to provide reference for the industry [1].


2021 ◽  
Vol 2143 (1) ◽  
pp. 012030
Author(s):  
Duo Peng ◽  
Jingqiang Zhao ◽  
Tongtong Xu

Abstract Analyzed in this paper based on the Internet of things technology for intelligent building data, redundancy of data fusion are pointed out, based on the dynamic Kalman filter algorithm of multi-sensor fusion, first using the theory of fuzzy and covariance matching technique to adjust the noise covariance of traditional algorithm, combined with weighted minimum variance matrix under the optimal information fusion algorithm of data fusion, Finally, the simulation results show that this algorithm can effectively reduce the redundancy of intelligent data and make the estimated value of data fusion more close to the actual value.


2020 ◽  
Vol 17 (8) ◽  
pp. 3621-3626
Author(s):  
Rishi Agarwal ◽  
Rahul Iyer ◽  
A. Vinnarasi ◽  
Hari Chandan Gooda ◽  
Vibhor Aggarwal

In the ever-so-growing technological world, the Internet of things is one of the most prevalent technologies that is being utilized in offices, hospitals, and even at homes. However, IoT, when integrated with other technologies, becomes more powerful and user interactive. Our system utilizes microcontroller (NodeMCU) as a Wifi based gateway which would connect different sensors with cloud-based servers and unlike conventional automation, face recognition would be introduced in IoT frameworks for room personalization, along with communication among the appliances, which will be beyond the interaction with the internet. The focus is to minimize human intervention and personalize it as accurately as possible. People accessing a room will have different settings for an archetype. For each person, the settings of the room will be altered using facial recognition. The machine learning would consist of two classes, i.e., known and unknown. For an unknown person approaching a room, a notification will be sent to the administrator. The collective data received from sensors (temperature, pressure, gas, humidity, current, and potentiometer) will be monitored and controlled using relays connected with Arduino which transfers data to the cloud through NodeMCU.


2013 ◽  
Vol 834-836 ◽  
pp. 1854-1857
Author(s):  
Shou Wen Ji ◽  
Hui Yun Teng ◽  
Jian Feng Su

The Internet of things (IOT) technology leads the third wave of the information industry having broad application prospects in intelligent building. This paper briefly introduces the background and concept of the IOT, the basis of the integration of intelligent building and the IOT. Intelligent building automation system, safety system, fire alarm system and OA system are the main applications of the IOT in intelligent building. We illustrate the disadvantage of traditional intelligent building and propose that the IOT and intelligent building have a good basis for integration. At the end, this paper analyzes the relationship between green building and intelligent building. The ultimate development goal of them is green building and smart city. It will make a huge impact in people's normal production and life in the future.


2020 ◽  
pp. 1-12
Author(s):  
Zhang Caiqian ◽  
Zhang Xincheng

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.


2019 ◽  
pp. 4-44 ◽  
Author(s):  
Peter Thorns

This paper discusses the organisations involved in the development of application standards, European regulations and best practice guides, their scope of work and internal structures. It considers their respective visions for the requirements for future standardisation work and considers in more detail those areas where these overlap, namely human centric or integrative lighting, connectivity and the Internet of Things, inclusivity and sustainability.


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