Agricultural water management based on the Internet of Things and data analysis

The article considers the issues of system architecture IoT-Fog-Cloud, considers the interaction between the three levels of IoT, Fog and Cloud for the effective implementation of programs for big data analysis and cybersecurity. The article also discusses security issues, solutions and directions for future research in the field of the Internet of Things and nebulous computing.

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Information Security Terminal Architecture of Power Transportation Mobile Internet of Things Based on Big Data Analysis

Wireless Communications and Mobile Computing ◽

10.1155/2021/5544716 ◽

2021 ◽

Vol 2021 ◽

pp. 1-9

Author(s):

Xianzhi Tang ◽

Chunyan Ding

Keyword(s):

Big Data ◽

Data Analysis ◽

Information Security ◽

Internet Of Things ◽

Power System ◽

Big Data Analysis ◽

The Internet ◽

Mobile Information ◽

Internet Of Things Technology ◽

The Internet Of Things

The progress of the social economy and the rapid development of the power field have created more favorable conditions for the construction of my country’s power grid. In this network age, how to further realize the connection between the power system and the Internet of Things is the key content of many scholars’ research. In the Internet of Things environment, there have been many excellent results in the collection, storage, and management of electric power big data, but the problem of information security has not been completely solved. Based on big data analysis and Internet of Things technology, this paper studies the architecture design of power information security terminals. In view of the diverse types of power grid mobile information and the large amount of data, this paper designs a power transportation mobile information security management system structure, which improves the effective management of power data by the system through big data, smart sensors, and wireless communication technology. According to the experiment, the power information security terminal constructed in this paper can effectively reduce communication resources and save communication costs in the process of aggregating multidimensional data. In the user satisfaction survey, residents’ satisfaction with the convenience and safety of the intelligent power system is also as high as 9.312 and 9.233. On the whole, the application of big data and Internet of Things technology to the construction of power information security terminals can indeed improve the service efficiency of power companies under the premise of ensuring safety and allow users to have a better experience.

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An IOT and Blockchain Approach for the Smart Water Management System in Agriculture

Scalable Computing Practice and Experience ◽

10.12694/scpe.v22i2.1869 ◽

2021 ◽

Vol 22 (2) ◽

Author(s):

Yunyan Chang ◽

Jian Xu ◽

Kayhan Zrar Ghafoor

Keyword(s):

Water Management ◽

Internet Of Things ◽

Real Time ◽

Remote Monitoring ◽

The Internet ◽

Water Management System ◽

Smart Water ◽

Block Chain ◽

The Internet Of Things ◽

Agriculture Water

In all the smart applications, evolution of the Internet of Things (IOT) is utilized as a complete matured technology and in the future internet generations, established itself. Blockchain is also the blooming technique like Internet of things in which the distributed ledger which enhances the security contained in the each node of the block-chain. In the block-chain network, any fault transaction is not done by the illegal users. The block-chain is combined with the Internet of Things for the improvement of real time application performance. IOT based smart water management system is designed in this paper for the agriculture which ensures the effectiveness of the agriculture water management. The remote monitoring with the IOT is used for this purpose. By linking with 2D modelling, the control and management of the agriculture water were performed. Finally, a system is implemented for the agriculture water management through the real time data collection. The obtained result shows the data that updates the water monitoring interface with the varying number of hours. The IoT technology and remote monitoring technology is utilized to the existing water management infrastructure. For water resources management and water supply, this is the very efficient technology.

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Utilizing the Internet of Things (IoT) to Develop a Remotely Monitored Autonomous Floodgate for Water Management and Control

Water ◽

10.3390/w12020502 ◽

2020 ◽

Vol 12 (2) ◽

pp. 502 ◽

Cited By ~ 1

Author(s):

Sami Salama Hussen Hajjaj ◽

Mohamed Thariq Hameed Sultan ◽

Muhammad Hafizuddin Moktar ◽

Seng Hua Lee

Keyword(s):

Water Management ◽

Internet Of Things ◽

Rural Areas ◽

Flood Mitigation ◽

The Internet ◽

Proof Of Concept ◽

Flood Monitoring ◽

Coordination System ◽

And Control ◽

The Internet Of Things

In recent years, floods have increased in frequency and intensity, causing tremendous hardship. In badly affected regions, mostly the rural areas, Weir-type floodgates are the only measure against floods. However, these manually operated gates are numerous and scattered over vast areas. This makes flood mitigation efforts very challenging, which causes severe devastation. Current solutions to automate the floodgates are expensive, black-boxed, and focused on individual gates. In this paper, we present a Centralized Flood Monitoring and Coordination System developed through the Internet of Things (IoT) and other open-source technologies. For this work, we developed a working prototype of an autonomous floodgate that opens/closes according to the level of water. We also developed the required program to allow the gate controller to publish its data through the IoT gateway to the cloud. The data was then captured and viewed on a number of IoT clients, both for individuals and groups of floodgates, in real time. The developed system proved successful as the autonomous gates were monitored remotely through the established IoT framework, with room for future development and improvement. This paper serves as a proof of concept and a preparation for real, on-site implementation of the IoT-floodgates.

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Predicting Heart Diseases from Large Scale IoT Data Using a Map-Reduce Paradigm

Open Computer Science ◽

10.1515/comp-2020-0204 ◽

2020 ◽

Vol 10 (1) ◽

pp. 422-430

Author(s):

Faris Mohammad Abd ◽

Mehdi Ebady Manaa

Keyword(s):

Big Data ◽

Data Analysis ◽

Internet Of Things ◽

Heart Diseases ◽

Large Data ◽

Machine Learning Algorithms ◽

Healthcare Sector ◽

Map Reduce ◽

The Internet ◽

The Internet Of Things

AbstractOver the last few years, the huge amount of data represented a major obstacle to data analysis. Big data implies that the volume of data undergoes a faster progress than computational speeds, thereby demanding a larger data storage capacity. The Internet of Things (IoT) is a main source of data that is closely related to big data, as the former extends to a variety of fields such as healthcare, entertainment, and disaster control. Despite the different advantages associated with the composition of Big Data analytics and IoT, there are a number of complex difficulties and issues involved that need to be resolved and managed to ensure an accurate data analysis. Some of these solutions include the utilization of map-reduce techniques, processing, and large data scale, particularly for the relatively less time that this method requires to process large data from the Internet of Things. Machine learning algorithms of this kind are often implemented in the healthcare sector. Medical facilities need to be advanced so that more appropriate decisions can be made in terms of patient diagnosis and treatment options. In this work, two datasets have been used: the first set, used in the prediction of heart diseases, obtained an accuracy rate of 84.5 for RF and 83 for J48, whereas the second dataset is related to weather stations (automated sensors) and obtained accuracy rates of 88.5 and 86.5 for RF and J48, respectively.

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Research and Implementation of Muck Truck Regulatory System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.475-476.719 ◽

2013 ◽

Vol 475-476 ◽

pp. 719-722

Author(s):

Li Zhou

Keyword(s):

Data Analysis ◽

Internet Of Things ◽

Real Time ◽

Monitoring System ◽

Regulatory System ◽

The Internet ◽

Construction Site ◽

3G Networks ◽

The Internet Of Things ◽

Embedded Intelligence

To solve site muck truck regulation difficulty, a muck truck monitoring system is designed and implemented based on 3G networks and the Internet of Things. The system consisted of Hi3515 processors embedded intelligence analyzer, RFID, grating and camera. With the data send from the construction site, a B/S remote regulatory website is built to provide real-time monitoring, evidence preservation, data analysis and data summary.

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