Development and Application of Video Monitoring System for Poles Based on Ubiquitous Internet of Things Technology

Author(s):  
Hongli Liu ◽  
Nan Li ◽  
Ye Zhao ◽  
Liyun Zhang ◽  
Xuetao Zhou
2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Tingting Yang ◽  
Yangyang Li ◽  
Chengzhe Lai ◽  
Jie Dong ◽  
Minghua Xia

Depending on the actual demand of maritime security, this paper analyzes the specific requirements of video encryption algorithm for maritime monitoring system. Based on the technology of Internet of things, the intelligent monitoring system of unmanned surface vessels (USV) is designed and realized, and the security technology and network technology of the Internet of things are adopted. The USV are utilized to monitor and collect information on the sea, which is critical to maritime security. Once the video data were captured by pirates and criminals during the transmission, the security of the sea will be affected awfully. The shortcomings of traditional algorithms are as follows: the encryption degree is not high, computing cost is expensive, and video data is intercepted and captured easily during the transmission process. In order to overcome the disadvantages, a novel encryption algorithm, i.e., the improved Hill encryption algorithm, is proposed to deal with the security problems of the unmanned video monitoring system in this paper. Specifically, the Hill algorithm of classical cryptography is transplanted into image encryption, using an invertible matrix as the key to realize the encryption of image matrix. The improved Hill encryption algorithm combines with the process of video compression and regulates the parameters of the encryption process according to the content of the video image and overcomes the disadvantages that exist in the traditional encryption algorithm and decreases the computation time of the inverse matrix so that the comprehensive performance of the algorithm is optimal with different image information. Experiments results validate the favorable performance of the proposed improved encryption algorithm.


2018 ◽  
Vol 14 (06) ◽  
pp. 165
Author(s):  
Xiaobing Hou

<p class="0abstract"><span lang="EN-US">T</span><span lang="EN-US">o improve the monitoring system of rock and soil engineering slope, based on the technology of Internet of things, the monitoring of rock and soil slope </span><span lang="EN-US">wa</span><span lang="EN-US">s studied. A multi parameter remote monitoring system based on the technology of Internet of things </span><span lang="EN-US">wa</span><span lang="EN-US">s proposed.</span><span lang="EN-US">By combining GPS locator with several sensor instruments, many parameters, such as ground displacement, deep displacement, groundwater level, stress and strain, </span><span lang="EN-US">we</span><span lang="EN-US">re collected.</span><span lang="EN-US">Through the Internet of things technology, the key data </span><span lang="EN-US">we</span><span lang="EN-US">re transmitted to the monitoring room. The wireless transmission of the monitoring data </span><span lang="EN-US">wa</span><span lang="EN-US">s completed. Using information fusion technology, database management and Web service, the monitoring data </span><span lang="EN-US">we</span><span lang="EN-US">re classified and managed.</span><span lang="EN-US">Through the data analysis, the reliability theory </span><span lang="EN-US">wa</span><span lang="EN-US">s used to predict the slope. Finally, the rock and soil engineering slope monitoring based on the Internet of things </span><span lang="EN-US">wa</span><span lang="EN-US">s verified.</span><span lang="EN-US">The results show</span><span lang="EN-US">ed</span><span lang="EN-US"> that the stability of the slope </span><span lang="EN-US">wa</span><span lang="EN-US">s influenced by many factors. At the same time, the effectiveness and accuracy of monitoring data </span><span lang="EN-US">we</span><span lang="EN-US">re important for slope prediction. T</span><span lang="EN-US">o sum up, t</span><span lang="EN-US">he reliability theory is more suitable for the stability analysis of the local slope and the section.</span></p>


2017 ◽  
Vol 13 (10) ◽  
pp. 21 ◽  
Author(s):  
Xijuan Wang

<p style="margin: 1em 0px;"><span lang="EN-US"><span style="font-family: 宋体; font-size: medium;">To realize the remote monitoring and intelligent management of the home environment, intelligent home remote monitoring system is developed based on the Internet of things technology. By using RF transceiver chip and GPRS technology, a smart home system scheme for wireless networks is established. The hardware and software design of sensor nodes and GPRS wireless communication base station is completed. Sensor nodes are used to monitor the acquisition of field data. Based on GPRS technology, the wireless communication base station realizes the uploading of monitoring data. The wireless communication between the node and the base station is realized by radio frequency transceiver chip SI4432. The results show that the system reaches the aim of expected design function. Therefore, it can be concluded that the system can meet the intelligent monitoring of the home environment.</span></span></p>


Boundary detection and alert system is a straightforward and effective idea, which utilizes Internet of Things technology. By utilizing this framework border monitoring is 100% protected and secure. It naturally alarms the intruder when the vehicle goes over the specific range in borders. This is finished by a sensor called Global positioning system (GPS). It detects the current position of the vehicle and switch on the caution framework naturally. In this anticipate, no need of manual operations like on time and off time setting. GPS and IoT are the fundamental segments of the task. The resistances of the alert system changes as per the distance between the current position of the vehicle and the border get decreased or increased.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Shunzhi Fan

In order to improve the stability of the electrical control system, based on the Internet of Things technology, this paper constructs an online monitoring system for electrical control based on the Internet of Things. Based on actual needs, communication requirements, and common communication methods in the remote monitoring system, this paper combines the requirements of actual remote communication to conduct a detailed comparative analysis of the principles, performance characteristics, reliability, cost, maintenance, and other aspects of various communication methods, proposes a plan that can meet the communication requirements of the system, and completes the design of the wireless linear link communication network. In addition, according to the three-tier architecture of the Internet of Things, this paper comprehensively uses the technologies related to the Internet of Things to design and develop the perception layer, transmission layer, and application layer. Finally, this paper designs experiments to test the performance of the system constructed in this paper. The research results show that the online monitoring system based on the Internet of Things constructed in this paper meets the needs of intelligent monitoring of the electrical control system.


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