The Study of Siltation State Assessment Method of Urban Sewer Network Based on the Internet of Things

2014 ◽  
Vol 668-669 ◽  
pp. 1430-1433
Author(s):  
Cui Qing Jiang ◽  
Rui Ya Wang ◽  
Fa Xiang Chen ◽  
Zhao Wang
Keyword(s):  
Internet Of Things ◽  
Evaluation Method ◽  
Assessment Method ◽  
Assessment Model ◽  
The Internet ◽  
Fusion Algorithm ◽  
Weighted Fusion ◽  
Sewer Network ◽  
Data Acquisition Program ◽  
The Internet Of Things

To provide siltation state information for dredging of urban sewer network, an evaluation method of siltation state based on data collected through the Internet of things is proposed. We present a data acquisition program, and use the adaptive weighted fusion algorithm as a data preprocessing method. Based on Manning formula, an assessment model of siltation state is established. The experiment proves that this assessment model of siltation state is effective for sewer network.

scholarly journals Reliability Analysis of the Internet of Things Based on Ordered Binary Decision Diagram

2018 ◽  
Vol 14 (08) ◽  
pp. 20 ◽  
Author(s):  
Guan Wei
Keyword(s):  
Internet Of Things ◽  
Large Scale ◽  
Evaluation Method ◽  
Assessment Method ◽  
Binary Decision Diagram ◽  
The Internet ◽  
Ordered Binary Decision Diagram ◽  
Binary Decision ◽  
Reliability Design ◽  
The Internet Of Things

The reliability of the Internet of Things (IoT) system is analyzed and studied through ordered binary decision diagram (OBDD) to improve its design, application, and development. Based on the OBDD analysis, a reliability evaluation method named as enhanced node expansion (ENE) is proposed. This method provides an effective solution for the reliability assessment of IoT with large scale and complex network structure. A link importance assessment method based on OBDD analysis is also established. The proposed method can accurately and effectively evaluate the reliability of the IoT network and is practical for discussing the reliability, design, and development of this system.

scholarly journals Upgrade Path and Strategy of Logistics Industry Cluster Based on the Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Jie Du
Keyword(s):  
Internet Of Things ◽  
Evaluation Method ◽  
Service Industry ◽  
Rapid Development ◽  
The Internet ◽  
Industry Cluster ◽  
Analytic Hierarchy ◽  
Logistics Industry ◽  
Expert Evaluation Method ◽  
The Internet Of Things

As the economy grows rapidly and IoT technology advances rapidly, the logistics industry as a service industry is growing rapidly around the world. The logistics industry, meanwhile, is the one that can best play the role of IoT. The rapid development of the logistics industry has brought great competition challenges to the logistics industry. To solve the competitive problems of the logistics industry cluster, this article introduces the research on the upgrade path and strategy of the logistics industry cluster based on the Internet of Things and uses the analytic hierarchy process, investigation method, and expert evaluation method to build the IoT technology information model and logistics cost. According to the established optimization model, the following are proposed: analyzing the problems existing in the logistics industry cluster, giving an upgrade path from the four aspects of manufacturing, technology, structure, and service, and giving specific strategic suggestions from the aspects of talents and enterprises. The accuracy rate of current analysis is as high as 90%, and the implementation rate of upgrade paths and strategy recommendations is as high as 95%.

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 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.

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.

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