Microcontroller based Substation Disaster Monitoring System

2021 ◽  
Author(s):  
Divit Kalathil ◽  
Kuldeep Vaishnav ◽  
Aditya Tarade ◽  
Kiran Talele ◽  
Manisha Bansode
Keyword(s):  
Monitoring System ◽  
Disaster Monitoring

PROTOTYPE ALAT PEMANTAU SALURAN AIR BAWAH TANAH DENGAN MENGGUNAKAN WEBCAM C170 BERBASIS RASPBERRY PI

2015 ◽  
Vol 1 (1) ◽  
pp. 37-45
Author(s):  
Irwansyah Irwansyah ◽  
Hendra Kusumah ◽  
Muhammad Syarif
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Public Awareness ◽  
Underground Water ◽  
Raspberry Pi ◽  
Laptop Computer ◽  
Web Browser ◽  
Disaster Monitoring ◽  
The Times ◽  
Human Desire

Along with the times, recently there have been found tool to facilitate human’s work. Electronics is one of technology to facilitate human’s work. One of human desire is being safe, so that people think to make a tool which can monitor the surrounding condition without being monitored with people’s own eyes. Public awareness of the underground water channels currently felt still very little so frequent floods. To avoid the flood disaster monitoring needs to be done to underground water channels.This tool is controlled via a web browser. for the components used in this monitoring system is the Raspberry Pi technology where the system can take pictures in real time with the help of Logitech C170 webcam camera. web browser and Raspberry Pi make everyone can control the devices around with using smartphone, laptop, computer and ipad. This research is expected to be able to help the users in knowing the blockage on water flow and monitored around in realtime.

scholarly journals Online Near real-time Mine Disaster Monitoring System Based on Geosensor Networks

2016 ◽  
Vol 12 (03) ◽  
pp. 64
Author(s):  
Haifeng Hu
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Satellite System ◽  
Open Pit ◽  
Observation Data ◽  
Complex Data ◽  
Disaster Monitoring ◽  
Process Observation ◽  
Global Navigation Satellite ◽  
Safety And Stability

Abstract—An online automatic disaster monitoring system can reduce or prevent geological mine disasters to protect life and property. Global Navigation Satellite System receivers and the GeoRobot are two kinds of in-situ geosensors widely used for monitoring ground movements near mines. A combined monitoring solution is presented that integrates the advantages of both. In addition, a geosensor network system to be used for geological mine disaster monitoring is described. A complete online automatic mine disaster monitoring system including data transmission, data management, and complex data analysis is outlined. This paper proposes a novel overall architecture for mine disaster monitoring. This architecture can seamlessly integrate sensors for long-term, remote, and near real-time monitoring. In the architecture, three layers are used to collect, manage and process observation data. To demonstrate the applicability of the method, a system encompassing this architecture has been deployed to monitor the safety and stability of a slope at an open-pit mine in Inner Mongolia.

The Design of Landslide Hazard Remote Monitoring System Based on STM32 MCU and GPRS

2014 ◽  
Vol 599-601 ◽  
pp. 1115-1119 ◽  
Author(s):  
Jing Luo Cai ◽  
Guan Li ◽  
Xiang Li Bu ◽  
Xian Guo Liu ◽  
Hua Lu Xing
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Landslide Hazard ◽  
Remote Monitoring System ◽  
Geological Disaster ◽  
Disaster Monitoring ◽  
Stable Performance ◽  
Slope Displacement ◽  
Landslide Disaster

By studying the occurrence and distribution of landslide disaster, remote monitoring system for landslide hazard was developed which using STM32 microcomputer and GPRS comunication technology. The changes of slope inclination, slope displacement and rainfall were acquained in real time. Experimental results showed that the use of the system on the slope of geological disaster monitoring is convenient and with stable performance.

Discussion on Power Grid Magnetic Storm Disaster Monitoring System Based on Cloud Computing

2011 ◽  
Vol 341-342 ◽  
pp. 641-645
Author(s):  
Di Liu ◽  
Ying Wang ◽  
Lian Guang Liu
Keyword(s):  
Cloud Computing ◽  
Monitoring System ◽  
Data Storage ◽  
Power Grid ◽  
Observation Data ◽  
Security Problem ◽  
Disaster Monitoring ◽  
System Data ◽  
Current Monitoring ◽  
Communication Methods

The power grid storm disaster monitoring system involves power system data，geomagnetic data, satellite data and other earth space observation data. To solve such problems as the system's large quantity of data, storage and processing difficulties, using cloud computing in the system is putting forward. The basic concepts and the services of cloud computing are introduced first. From the aspects of the front-end data collection and communication methods to the background software data processing, the GIC (geomagnetically-induced current) monitoring system is showed. Then the issues of the continuous expansion of the system are analyzed in detail. The architecture of the power grid storm disaster monitoring system based on cloud computing is given. Security problem of implementation of the system using cloud computing technology are finally discussed.

scholarly journals Application of Video Recognition Technology in Landslide Monitoring System

2018 ◽  
Vol 153 ◽  
pp. 07001
Author(s):  
Meng Qingjia ◽  
Wang Chenhui
Keyword(s):  
Monitoring System ◽  
Remote Monitoring ◽  
Video Monitoring ◽  
Video Frame ◽  
Landslide Monitoring ◽  
Monitoring And Control ◽  
Remote Monitoring System ◽  
Video Recognition ◽  
Disaster Monitoring ◽  
And Control

The video recognition technology is applied to the landslide emergency remote monitoring system. The trajectories of the landslide are identified by this system in this paper. The system of geological disaster monitoring is applied synthetically to realize the analysis of landslide monitoring data and the combination of video recognition technology. Landslide video monitoring system will video image information, time point, network signal strength, power supply through the 4G network transmission to the server. The data is comprehensively analysed though the remote man-machine interface to conduct to achieve the threshold or manual control to determine the front-end video surveillance system. The system is used to identify the target landslide video for intelligent identification. The algorithm is embedded in the intelligent analysis module, and the video frame is identified, detected, analysed, filtered, and morphological treatment. The algorithm based on artificial intelligence and pattern recognition is used to mark the target landslide in the video screen and confirm whether the landslide is normal. The landslide video monitoring system realizes the remote monitoring and control of the mobile side, and provides a quick and easy monitoring technology.

Slope Disaster Monitoring System Using Battery-Operated Wireless Sensor Network

2013 ◽  
pp. 109-116
Author(s):  
Keigo Koizumi ◽  
Kenji Hirata ◽  
Kazuhiro Oda ◽  
Yukishige Fujita ◽  
Sadayuki Kamide
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Monitoring System ◽  
Wireless Sensor ◽  
Disaster Monitoring
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