Prevention of Disasters Supported on the Internet of Things and Early Warning Systems

2018 ◽  
pp. 360-370
Author(s):  
Jimena Peña Muñoz ◽  
Roberto Ferro Escobar
Keyword(s):  
Internet Of Things ◽  
Early Warning ◽  
Early Warning Systems ◽  
The Internet ◽  
Warning Systems ◽  
The Internet Of Things

scholarly journals Real-Time Warning Model of Highway Engineering Construction Safety Based on Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Haoran Song ◽  
Hao Yu ◽  
Dianliang Xiao ◽  
Yuexiang Li
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Early Warning ◽  
Construction Safety ◽  
The Internet ◽  
Engineering Construction ◽  
Highway Engineering ◽  
Early Warning Model ◽  
Warning Model ◽  
The Internet Of Things

Real-time and effective early warning of highway engineering construction sites is the key to ensuring the safety of highway engineering construction. At present, highway engineering construction safety early warning is limited by the experience of relevant personnel at the site and the dynamic changes of the project site environment. Therefore, the creation of a more active, smarter, and more effective real-time early warning model for construction safety is a strong complement to current research and has important theoretical and practical implications. The Internet of Things is the third wave of the information industry after computers, the Internet, and mobile communication networks. It is of great significance to promote the development of science and technology, economic growth, and social progress. Aiming at the shortcomings of the inadequate safety management methods for highway engineering construction in China, the inefficient efficiency of safety production supervision and management, and the emphasis on single and sporty supervision methods, a real-time early warning model for highway engineering construction safety based on the Internet of Things technology was constructed. By quantifying, scoring, and statistics of the safety situation during the construction process, the model achieves the goals of real-time monitoring, early warning, and handling hidden safety hazards. It overcomes problems such as untimely and unscientific safety issues in the past and effectively improves China’s highway engineering construction. The experimental comparison between the real-time early warning model and the traditional early warning model in this paper shows that the accuracy of the early warning model proposed in this paper is improved by nearly 5%, and the false alarm rate is reduced by nearly 4%.

Pengembangan Smart Home Dengan Microcontrollers ESP32 Dan MC-38 Door Magnetic Switch Sensor Berbasis Internet of Things (IoT) Untuk Meningkatkan Deteksi Dini Keamanan Perumahan

2019 ◽  
Vol 3 (3) ◽  
pp. 451-457
Author(s):  
Andi Setiawan ◽  
Ade Irma Purnamasari
Keyword(s):  
Internet Of Things ◽  
Early Detection ◽  
Early Warning ◽  
Smart Home ◽  
Detection System ◽  
The Internet ◽  
Magnetic Switch ◽  
Web Framework ◽  
Closed Angle ◽  
The Internet Of Things

The objective developed from this research is to utilize Smart Home with an integrated ESP32 microcontroller with a camera and MC-38 door magnetic switch sensor based on the Internet of Things (IoT) as a research base to detect the security of arumsari earth housing in Cirebon District when left by its inhabitants. ESP32 microcontroller which can be programmed via arduino IDE, then functioned to respond to the integrated camera so that it can transmit images when the MC-38 sensor door magnetic switch sensor is active. Technically the combination of the ESP32 microcontroller and MC-38 door magnetic switch sensor, which was developed as a prototype in this study is called the arumsari housing early detection system. The mechanism of the arumsari housing early detection system is when a house door or window is successfully forcibly broken without going through the system mechanism, then automatically an image or can also be developed into a video from a camera mounted on an ESP32 microcontroller will send the image through a web framework or smartphone as a form early warning of security to housing owners. The results obtained from this study are at the angle of normally open MC-38 door magnetic switch sensor of 60 - 1800, will work sending an image signal which means there is an indication of a burglar or unknown person entering the house. Whereas at the normally closed angle MC-38 door magnetic switch sensor is 00-50, it will not work sending an image signal which means the house is safe.

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

scholarly journals Methodology for Simulation of IoT-Based Flood Data Collection Infrastructure

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Azimah Abdul Ghapar ◽  
Salman Yussof
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Early Warning ◽  
Real World ◽  
Research Work ◽  
Early Warning Systems ◽  
Warning Systems ◽  
Flood Prediction ◽  
Software Simulation ◽  
Related Data

Internet of Things (IoT) is a potential technology to be used for data collection tasks in real-world environments. However, due to the difficulty of deploying and testing a real IoT implementation, many researchers end up having to use software simulation to evaluate their proposed techniques. This paper focuses on the use of IoT for collecting flood-related data, which would then use by flood-related applications such as flood prediction applications and flood early warning systems. This paper proposed a methodology for simulating the IoT system used for flood data collection. The proposed methodology consists of four main steps which are identifying the flood environment, defining the architecture for flood data collection, simulating the IoT-based flood data collection infrastructure and analyzing the results. The activities for each step are described in detail as to guide other researchers in the same area to adapt the methodology to their research work.

Research on Application of Internet of Things on Intelligent Traffic Safety early Warning

2012 ◽  
Vol 263-266 ◽  
pp. 2890-2894
Author(s):  
Ru Xia Hong
Keyword(s):  
Internet Of Things ◽  
Traffic Safety ◽  
Early Warning ◽  
Traffic Accidents ◽  
Simulation Analysis ◽  
Warning System ◽  
Early Warning Systems ◽  
Calculation Model ◽  
Warning Systems ◽  
Research On Application

In order to avoid potential traffic dangers, as well as to prevent the occurrence of traffic accidents, this paper manages to build a traffic safety early warning system by using Technology of Internet of Things. First, this paper has a general review of related researches. Then, it analyzes basic structures of intelligent traffic safety early warning systems based on Technology of Internet of Things, and establishes data collection and calculation model for traffic flow, following with analysis of traffic safety early warning and responding technologies. Finally, this paper conducts a simulation analysis, the results of which indicate that the said method proposed by this paper has a better robustness.

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