Slope Monitoring and Early Warning System Implementation Based on the Internet of Things Technology

Author(s):  
Xiaorong Zhou ◽  
Qianghua Shi
Author(s):  
Mohamad Jamil ◽  
Hafid Saefudin ◽  
Sarby Marasabessy

Forests have an important role in the life of living things. Nowadays forest fires (Karhutla) become a serious problem that can disrupt the symbiosis and life chain of living things. This problem has become a concern for the community, government and the world. Data obtained until August 2019 recorded 328,724 hectares and burned forest land. To overcome this problem, the government has made various efforts in the form of appeals or legal sanctions on actions that threaten forest sustainability whether carried out individually or in groups. Many cases of forest fires are known when a fire has occurred and little can be detected early. Information on the occurrence of many fires was obtained by residents around the location of the fire. To get the help of the fire department, community participation is needed, to contact the fire department so that they can anticipate the fire disaster early. The aim of this research is to develop a forest fire early warning system using the nodemcu module and the Telegram BOT with the Internet of Things (IOT) concept. Based on the test results of the Forest Fire early warning system using the Nodemcu module and the Telegram BOT with the concept of the Internet of Things (IOT) it is very helpful to provide quick information to find out fires that occur in the forest, by using the Internet of Things method, the officer will be able to know the conditions in real time, because this technology is capable of monitoring hardware using internet communication tools such as Telegram so that distance and location are not affected as long as the sensor used detects changes that occur.Keywords: Internet Of Things, Nodemcu, Telegram, Thingspeak, Forest fires


2014 ◽  
Vol 926-930 ◽  
pp. 2276-2279
Author(s):  
Guo Jun Ma

In view of the Gannan Tibetan yak breeding situation, proposed the Gannan yak disease early warning system based on Internet of things technology, from the model base management, information management, assessment prediction of disease,disease alarm four aspects of the design of the system framework.


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>


2014 ◽  
Vol 484-485 ◽  
pp. 577-580
Author(s):  
Chen Ping Zeng

As a wisdom water conservancy, mountain torrent disaster monitoring and early-warning system is an especially information part of flood prevention and drought resisting information support, and plays a very important role in the flood prevention and drought resisting in the water conservancy industry. The integration of mountain torrent disaster monitoring and early-warning system in water conservancy with the internet of things and the establishment of intelligent things networking system based on automation and control provide decision-making supports for flood prevention and mountain torrent disaster early-warning, aiming at safeguard the life and property securities of people. Therefore, by taking Zhaojue County of Liangshan Yi autonomous prefecture (an area with frequent mountain torrent disaster in Sichuan province) as an example, the implementation plan of mountain torrent disaster monitoring and early-warning system is reviewed in this paper.


2021 ◽  
Vol 3 (1) ◽  
pp. 42-58
Author(s):  
Vito Hafizh Cahaya Putra ◽  
Mokhamad Hendayu ◽  
Purnomo Yustianto

River conditions in Bandung City are currently in critical condition. This study aims to create an early warning system and monitoring of river water quality based on the Internet of Things in the hope that early warnings sent through the telegram application belonging to the Bandung City DLHK officer and the Twitter social media website, can inform the Bandung City DLHK officer that a river is in a polluted condition and the officer can immediately go to the location of river water to carry out mitigation, and give warnings to the community. The research method used using the waterfall method which consists of: needs analysis, system design, implementation, testing, and maintenance with sequential implementation. Data collection methods were carried out in several ways, namely: interviews, giving questionnaires, and literature studies used in this study sourced from books, journals, seminar presentations, and the internet as references in the research conducted. Based on the research that has been carried out, the following test results are obtained: black box testing is carried out in accordance with those contained in the test plan with the results of each test having valid results. The results obtained from the user acceptance test which are calculated using the Likert scale have an average value of 86.94% which fall into the category of strongly agree, and there are three guidelines which are a follow-up to the output of the early warning system that can be carried out either by the Environmental Service. and Cleanliness (DLHK) of Bandung City and the community.


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