The Internet of Things Based the Framework of Gannan Yak Disease Early Warning System Design

2014 ◽  
Vol 926-930 ◽  
pp. 2276-2279
Author(s):  
Guo Jun Ma
Keyword(s):  
Internet Of Things ◽  
Information Management ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Management Information ◽  
Model Base ◽  
Base Management ◽  
Internet Of Things Technology ◽  
The Internet Of Things

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.

scholarly journals SISTEM PERINGATAN DINI KEBAKARAN HUTAN MENGGUNAKAN MODUL NODEMCU DAN BOT TELEGRAM DENGAN KONSEP INTERNET OF THINGS (IOT)

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Mohamad Jamil ◽  
Hafid Saefudin ◽  
Sarby Marasabessy
Keyword(s):  
Internet Of Things ◽  
Forest Fire ◽  
Early Warning ◽  
Forest Fires ◽  
Early Warning System ◽  
Warning System ◽  
Fire Department ◽  
The Internet ◽  
Living Things ◽  
The Internet Of Things

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

Dynamic monitoring system of high slope of rock and soil based on internet of things perception

2020 ◽  
pp. 1-10
Author(s):  
Manxia Wu ◽  
Wen Wang ◽  
Rui Han
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Dynamic Monitoring ◽  
Analysis Method ◽  
High Slope ◽  
The Internet Of Things ◽  
Rock And Soil

A large number of high slopes will be formed in the construction of expressways in many mountainous areas, which is very unfavorable to the construction of local expressways. Effective monitoring methods are essential to solving these problems, and the Internet of Things technology is a good dynamic monitoring method. Therefore, it is necessary to carry out research on the dynamic monitoring system of rock and soil high slope based on the Internet of Things perception. The purpose of this article is to solve the problem of dynamic monitoring of high slopes, taking highway slopes in Chongqing as an example, making full use of the literature method, field investigation method, regression analysis method, time series analysis method, and theoretical analysis method. Through real-time monitoring of the entire process of rock and soil high slope construction in different locations in a certain area in the southwest, and continuously adjusting and verifying the monitoring situation and solving related problems, the high slope instability at this point was accurately monitored And at any time find the weak links in the construction process of high slopes, and further find its potential quality and safety risks, and then establish a comprehensive monitoring system and early warning system. The research results show that this comprehensive monitoring and early warning system improves the accuracy of early warning and monitoring from qualitative judgment to quantitative analysis and from macro to micro monitoring, and can provide a reference for other types of projects.

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