scholarly journals Intelligent Building Data Fusion Algorithm by Using the Internet of Things Technology

2021 ◽  
Vol 2143 (1) ◽  
pp. 012030
Author(s):  
Duo Peng ◽  
Jingqiang Zhao ◽  
Tongtong Xu
Keyword(s):  
Internet Of Things ◽  
Data Fusion ◽  
Minimum Variance ◽  
The Internet ◽  
Fusion Algorithm ◽  
Intelligent Building ◽  
Variance Matrix ◽  
Optimal Information ◽  
Internet Of Things Technology ◽  
The Internet Of Things

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.

scholarly journals Security Technology of Wireless Sensor Internet of Things Based on Data Fusion

2017 ◽  
Vol 13 (11) ◽  
pp. 25
Author(s):  
Jie Zhang
Keyword(s):  
Internet Of Things ◽  
Data Fusion ◽  
Original Data ◽  
Wireless Sensor ◽  
The Internet ◽  
Fusion Technology ◽  
Security Technology ◽  
Fusion Algorithm ◽  
The Impact ◽  
The Internet Of Things

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: DE; mso-bidi-language: AR-SA;" lang="EN-US">In order to prove the effect of data fusion technology in the Internet of things, a wireless sensor Internet of things security technology based on data fusion is designed, and the impact of data fusion in the field of communication technology is studied. Therefore, two security fusion algorithms are designed on the basis of analyzing and comparing the advantages and disadvantages of various security fusion algorithms, namely, data security fusion algorithm EDCSDA and approximate fusion algorithm PADSA. By analyzing the probability distribution model of the data collected by the nodes, the disturbance data is superimposed on the original data to hide the effect of the original data. A test bed system for perception layer of the Internet of things is designed and implemented. The test results prove the feasibility of the two algorithms. Meanwhile, it shows that the two algorithms can reduce the transmission overhead of the network while guaranteeing the security. Based on the above finding, it is concluded that data fusion technology is very effective for improving network efficiency and prolonging the network life cycle as one of the key technologies in the perception layer of Internet of things.</span>

Application in Data Fusion of Internet of Things Based on the KL Distance of Reputation Model

2013 ◽  
Vol 760-762 ◽  
pp. 587-591 ◽  
Author(s):  
Xu Ping Zhu
Keyword(s):  
Internet Of Things ◽  
Data Fusion ◽  
Interconnection Network ◽  
Limited Resource ◽  
The Internet ◽  
User Privacy ◽  
Fusion Algorithm ◽  
Other Information ◽  
Reputation Model ◽  
The Internet Of Things

The Internet of Things is a bearer network based on the Internet, the traditional telecommunications network, wireless self-organizing networks etc, so that all can be individually addressable ordinary physical objects to achieve the interconnection network. The Internet of Things is evolved from the wireless sensor network, which has limited resource in energy, memory, calculation, bandwidth and etc,. In addition, many applications in the Internet of Things are related to user privacy. In the process of data collection and transmission, the data may be forged , tampered, and a variety of other information security threats. In order to extend the network lifetime, to protect the authenticity and reliability of data fusion, this paper presents a reputation model of data fusion algorithm. The algorithm is verified by simulation, the experimental results show that the proposed algorithm is effective and the result of data aggregation is reliable.

scholarly journals Application research of perception data fusion system of agricultural product supply chain based on Internet of things

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Xu Sun ◽  
Kunliang Shu
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Data Fusion ◽  
Agricultural Products ◽  
Current Status ◽  
Agricultural Product ◽  
The Internet ◽  
Market Demand ◽  
Internet Of Things Technology ◽  
The Internet Of Things

AbstractThere are often agricultural product quality problems in the production and circulation of agricultural products. Therefore, there are more and more people on the agricultural product supply chain based on the Internet of things. This article mainly introduces the research on the perception data fusion of agricultural product supply chain in the context of the Internet of things. This is a simple research result based on the Internet of things technology platform, which analyzes the current status of the product according to market demand. After analysis and comparison, a sensory data fusion model suitable for the supply chain of agricultural products is obtained, and information technology based on the Internet of things is used to transform and optimize the Internet of things in the circulation of agricultural products. The experimental results of this article show that data fusion technology based on the Internet of things can solve and track 69.45% of the problem of unknown sources of agricultural products, improve the supply efficiency of agricultural products by 43%, reduce the health problems of agricultural products by 31.24%, and reduce the prices of agricultural products by 13–20%. Improving logistics efficiency can save 5 million tons of agricultural products.

Research on Industrial Field Diagnostics and Management System Based on the IOT

2011 ◽  
Vol 63-64 ◽  
pp. 765-769 ◽  
Author(s):  
Jing Zhao Li ◽  
Jian Cheng ◽  
Xing Jin
Keyword(s):  
Internet Of Things ◽  
Information Fusion ◽  
Management System ◽  
Fault Isolation ◽  
The Internet ◽  
Fusion Algorithm ◽  
Diagnosis And Management ◽  
Management Functions ◽  
Internet Of Things Technology ◽  
The Internet Of Things

Industrial field diagnosis and management system based on the Internet of things which has advanced technologies and perfect functions was designed, through the analysis on industrial field diagnosis technology, information fusion methods and the framework of industrial the Internet of things,. Field fault detection, fault diagnosis and fault isolation and the structures of the sensing layer, the middleware layer and the application layer of the Internet of things of industrial as well as information fusion algorithms of data level, feature level and decision level were made to correspond to each other and site diagnosis knowledge, the Internet of things technology and information fusion algorithm were used to achieve remote monitoring center or handheld terminal on site for industrial site diagnosis and management functions. A good solution was provided for equipment manufacturers and industrial applying the Internet of things to do site diagnosis and management.

scholarly journals Heracles: A Context-Based Multisensor Sensor Data Fusion Algorithm for the Internet of Things

Information ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 517
Author(s):  
Flávia C. Delicato ◽  
Tayssa Vandelli ◽  
Mario Bonicea ◽  
Claudio M. de Farias
Keyword(s):  
Internet Of Things ◽  
Data Fusion ◽  
Smart Cities ◽  
Sampling Rate ◽  
Value Added ◽  
Sensor Data ◽  
The Internet ◽  
Fusion Algorithm ◽  
The Internet Of Things ◽  
Analyze Data

In the Internet of Things (IoT), extending the average battery duration of devices is of paramount importance, since it promotes uptime without intervention in the environment, which can be undesirable or costly. In the IoT, the system’s functionalities are distributed among devices that (i) collect, (ii) transmit and (iii) apply algorithms to process and analyze data. A widely adopted technique for increasing the lifetime of an IoT system is using data fusion on the devices that process and analyze data. There are already several works proposing data fusion algorithms for the context of wireless sensor networks and IoT. However, most of them consider that application requirements (such as the data sampling rate and the data range of the events of interest) are previously known, and the solutions are tailored for a single target application. In the context of a smart city, we envision that the IoT will provide a sensing and communication infrastructure to be shared by multiple applications, that will make use of this infrastructure in an opportunistic and dynamic way, with no previous knowledge about its requirements. In this work, we present Heracles, a new data fusion algorithm tailored to meet the demands of the IoT for smart cities. Heracles considers the context of the application, adapting to the features of the dataset to perform the data analysis. Heracles aims at minimizing data transmission to save energy while generating value-added information, which will serve as input for decision-making processes. Results of the performed evaluation show that Heracles is feasible, enhances the performance of decision methods and extends the system lifetime.

scholarly journals Perception Data Fusion of Agricultural Products Supply Chain Based on Internet of Things

2020 ◽  
Author(s):  
Xu Sun ◽  
Kunliang Shu
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Data Fusion ◽  
Agricultural Products ◽  
Agricultural Product ◽  
The Internet ◽  
Logistics Industry ◽  
The Status ◽  
Internet Of Things Technology ◽  
The Internet Of Things

Abstract With the continuous development of the logistics industry and big data technology, the integration of traditional industries and the Internet of Things has become the trend of the times. However, agricultural product quality problems occur from time to time in multiple links such as the production and circulation of agricultural products. Therefore, the agricultural product supply chain based on the Internet of Things has gradually received attention. The purpose of this paper is to study the application of perception data fusion of agricultural products supply chain based on internet of things. In order to study the application of perception data fusion of agricultural products supply chain based on Internet of things, this paper analyzes the status quo of agricultural products industry traceability platform and extracts other product supply modes based on the Internet of things technology. After analysis and comparison, it comes to the perception data fusion mode suitable for the agricultural product supply chain, and uses the information technology based on the internet of things to carry out the agricultural product circulation process Internet of things transformation and process optimization. The results show that the application of data fusion based on the internet of things can solve 69.45% of the agricultural products whose origins are unknown and cannot be traced, improve the supply efficiency of agricultural products by 43%, reduce the health problems of agricultural products by 31.24%, reduce the prices of agricultural products by 13%-20%, improve the logistics efficiency and save about 5 million tons of agricultural products. Therefore, it is necessary to study the application of agricultural product perception data fusion based on internet of things.

Data collection of safety accidents in sports training of athletes with Internet of Things technology

2021 ◽  
pp. 1-7
Author(s):  
Zhiping Wang ◽  
Xinxin Zheng ◽  
Zhichen Yang
Keyword(s):  
Information Technology ◽  
Data Collection ◽  
Internet Of Things ◽  
The Internet ◽  
Sports Training ◽  
Accident Data ◽  
And Performance ◽  
Control Technologies ◽  
Internet Of Things Technology ◽  
The Internet Of Things

The Internet of Things (IoT) technology is an information technology developed in recent years with the development of electronic sensors, intelligence, network transmission and control technologies. This is the third revolution in the development of information technology. This article aims to study the algorithm of the Internet of Things technology, through the investigation of the hazards of athletes’ sports training, scientifically and rationally use the Internet of Things technology to collect data on safety accidents in athletes’ sports training, thereby reducing the risk of athletes’ sports training and making athletes better. In this article, the methods of literature research, analysis and condensing, questionnaire survey, theory and experiment combination, etc., investigate the safety accident data collection of the Internet of Things technology in athletes’ sports training, and provide certain theories and methods for future in-depth research practice basis. The experimental results in this article show that 82% of athletes who are surveyed under the Internet of Things technology will have partial injuries during training, reducing the risk of safety accidents in athletes’ sports training, and better enabling Chinese athletes to achieve a consistent level of competition and performance through a virtuous cycle of development.

Design and Implementation of Smart Classroom Based on Internet of Things and Cloud Computing

2021 ◽  
Vol 14 (2) ◽  
pp. 38-51
Author(s):  
Kai Zhang
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Classroom Management ◽  
Classroom Environment ◽  
The Internet ◽  
Smart Classroom ◽  
Technology Innovations ◽  
Internet Of Things Technology ◽  
Smart Classrooms ◽  
The Internet Of Things

With the development of emerging technology innovations such as the internet of things, classroom management has also shown an informatization trend. Among them, smart classrooms are an important part of the current university information environment construction. The purpose of this article is to build a smart classroom into an intelligent teaching environment with many functions such as intelligent perception and identification, real-time monitoring based on the internet of things technology and cloud computing technology. A questionnaire survey was conducted among freshman students in some majors, and interviews were conducted with the instructors. It was found that 92.19% of the students were satisfied with the classroom learning in the smart classroom environment, and most teachers thought that the teaching effect had been improved. Experiments have proven that the operation of smart classrooms based on the internet of things and cloud computing realizes the intelligence of teaching management services and improves the level of education informationization in schools.

The Correlation Between the Development of IoT Robot Technology and the Effect of Economic Development

2021 ◽  
Author(s):  
Haiting Huang
Keyword(s):  
Economic Development ◽  
Internet Of Things ◽  
System Structure ◽  
Ultra Wideband ◽  
The Internet ◽  
Intelligent Robot ◽  
Traditional Technology ◽  
Robot Technology ◽  
Internet Of Things Technology ◽  
The Internet Of Things

In order to explore the application of IoT technology in robots and the promotion of IoT robot technology to the economy, by comparing traditional technology and IoT intelligent robot technology, this article combines it with economic development to analyze the promotion of IoT robot to economic development. Based on the ultra-wideband ranging method, this paper designs an ultra-wideband radio frequency positioning system and applies it to the robot’s positioning process. Moreover, this article combines the application of robots in the current social and economic development to construct the system structure, and conducts functional analysis with manufacturing robots and monitoring robots as the main body. After constructing an intelligent robot based on the Internet of Things technology, by comparing the traditional technology and the intelligent robot technology of the Internet of Things, this article combines it with economic development to analyze the promotion of IoT robot to economic development. From the analysis results of this article, it can be seen that the advancement of IoT robot technology can effectively promote economic development.

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