The Utility Model of Early Warning System for Train Operation

2013 ◽  
Vol 325-326 ◽  
pp. 1249-1252
Author(s):  
Shi Yi
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Weather Conditions ◽  
Vibration Sensor ◽  
Utility Model ◽  
Photoelectric Detection ◽  
Train Operation

The utility model of early warning system for train operation detects and analysis all the information from the weather detection, photoelectric detection, vibration sensor and signal of the tracks comprehensively. It determines the position of the train by the weighted coefficients and controls the interval signal and locomotive signal accurately. This system should be barely affected by the weather conditions, the results detected by this system are reliable, and it can ensure the train operates safely.

scholarly journals Development of Low Cost Vibration Sensor Network for Early Warning System of Landslides

2016 ◽  
Vol 89 ◽  
pp. 417-420 ◽  
Author(s):  
Somchai Biansoongnern ◽  
Boonyang Plungkang ◽  
Sriwichai Susuk
Keyword(s):  
Sensor Network ◽  
Early Warning ◽  
Early Warning System ◽  
Low Cost ◽  
Warning System ◽  
Vibration Sensor

Sensor-Actuator-Based Network for an early-warning system in extreme weather conditions

2010 ◽  
Vol 43 (23) ◽  
pp. 7-12 ◽  
Author(s):  
Ulrike Hempel ◽  
Joerg Auge ◽  
Manfred Schütze ◽  
Christoph Engel
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Weather Conditions ◽  
Extreme Weather ◽  
Sensor Actuator

Design of early Warning System of Agricultural Products in the Data Warehouse

2011 ◽  
Vol 217-218 ◽  
pp. 656-661
Author(s):  
Li Juan Zhou ◽  
Kang Li ◽  
Xiao Xu He
Keyword(s):  
Early Warning ◽  
Agricultural Production ◽  
Early Warning System ◽  
Agricultural Sector ◽  
Supply And Demand ◽  
Warning System ◽  
Weather Conditions ◽  
System Structure ◽  
Government Control ◽  
The Government

As Chinese socialist market economy gradually has been improved, there is a lag in the agricultural production.It is a very possible research for the agricultural sector to make agricultural production policies to develop appropriate based on the government control means, consumer behavior, agricultural supply and demand balance, the outside weather conditions and other factors. In this paper, we proposed agricultural early warning system structure and function modules. It is based on the external conditions for agricultural production, agricultural consumer groups, consumer habits, especially focusing on the production and analysis module, analysis module prices and consumer modules.

scholarly journals IoT-based Lava Flood Early Warning System with Rainfall Intensity Monitoring and Disaster Communication Technology

2021 ◽  
Vol 4 ◽  
pp. 154-166
Author(s):  
Iswanto Suwarno ◽  
Alfian Ma’arif ◽  
Nia Maharani Raharja ◽  
Adhianty Nurjanah ◽  
Jazaul Ikhsan ◽  
...  
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Communication Systems ◽  
Warning System ◽  
Rain Gauge ◽  
Disaster Mitigation ◽  
Vibration Sensor ◽  
Decision Algorithm ◽  
Disaster Communication ◽  
Flood Detection

A lava flood disaster is a volcanic hazard that often occurs when heavy rains are happening at the top of a volcano. This flood carries volcanic material from upstream to downstream of the river, affecting populous areas located quite far from the volcano peak. Therefore, an advanced early warning system of cold lava floods is inarguably vital. This paper aims to present a reliable, remote, Early Warning System (EWS) specifically designed for lava flood detection, along with its disaster communication system. The proposed system consists of two main subsystems: lava flood detection and disaster communication systems. It utilizes a modified automatic rain gauge; a novel configured vibration sensor; Fuzzy Tree Decision algorithm; ESP microcontrollers that support IoT, and disaster communication tools (WhatsApp, SMS, radio communication). According to the experiment results, the prototype of rainfall detection using the tipping bucket rain gauge sensor can measure heavy and moderate rainfall intensities with 81.5% accuracy. Meanwhile, the prototype of earthquake vibration detection using a geophone sensor can remove noise from car vibrations with a Kalman filter and measure vibrations in high and medium intensity with an accuracy of 89.5%. Measurements from sensors are sent to the webserver. The disaster mitigation team uses data from the webserver to evacuate residents using the disaster communication method. The proposed system was successfully implemented in Mount Merapi, Indonesia, coordinated with the local Disaster Deduction Risk (DDR) forum. Doi: 10.28991/esj-2021-SP1-011 Full Text: PDF

scholarly journals Sensor Network Based Testbench Implementation of Landslide Early Warning System

2021 ◽  
Vol 8 (3) ◽  
pp. 134-139
Author(s):  
Kamal K. Chapagai
Keyword(s):  
Moisture Content ◽  
Sensor Network ◽  
Early Warning ◽  
Early Warning System ◽  
Low Cost ◽  
Warning System ◽  
Vibration Sensor ◽  
Sensing Element ◽  
Moisture Sensor ◽  
Multiple Sensing

The paper presents an implementation of prototype based Early Warning System (EWS) to detect and provide early warning of Landslide activities. The main aim of this work is to implement the prototype with low cost sensor network. A simulation setup and a table based prototype setup was implemented to study the capability and effectiveness of the system. The setup consists of table based setup of landslide with multiple/changing angle from 30° to 90°. Multiple sensing elements including rain sensor to detect presence of rain, soil moisture sensor to detect the moisture content, temperature and humidity sensor to detect humidity in the environment and vibration sensor to detect movement in the soil was implemented. The data captured by the sensing element is transmitted to a microcontroller which sends early warning signal represented by LED, Buzzer and sending of SMS or call. Through the setup, it is found that the sensitivity of the moisture sensor is rather limited however the range of moisture content detected by the sensor is functional. The vibration sensor can be tuned to have high sensitivity to the movement of the soil however, a number of false positive outcome may be detected. The early warning system is still possible by using multiple sensing element and averaging over their outcomes. The early warning system using low cost components as prototype has been successfully demonstrated. This setup can be scaled up to a real field implementation after careful tuning.

MODIFIKASI ASESMEN EARLY WARNING SYSTEM UPAYA PENINGKATAN PENERAPAN KESELAMATAN PASIEN

2020 ◽  
Vol 6 (2) ◽  
pp. 112
Author(s):  
Veronika Hutabarat ◽  
Enie Novieastari ◽  
Satinah Satinah
Keyword(s):  
Action Research ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Planning Action

Salah satu faktor dalam meningkatkan penerapan keselamatan pasien adalah ketersediaan dan efektifitas prasarana dalam rumah sakit. Early warning system (EWS) merupakan prasarana dalam mendeteksi perubahan dini  kondisi pasien. Penatalaksanaan EWS masih kurang efektif karena parameter dan nilai rentang scorenya belum sesuai dengan kondisi pasien. Tujuan penulisan untuk mengidentifikasi efektifitas EWS dalam penerapan keselamatan pasien. Metode penulisan action research melalui proses diagnosa, planning action, intervensi, evaluasi dan  refleksi. Responden dalam penelitian ini adalah  perawat yang bertugas di area respirasi dan pasien dengan kasus kompleks respirasi di Rumah Sakit Pusat Rujukan Pernapasan Persahabatan Jakarta. Analisis masalah dilakukan dengan menggunakan diagram fishbone. Masalah yang muncul belum optimalnya implementasi early warning system dalam penerapan keselamatan pasien. Hasilnya 100% perawat mengatakan REWS membantu mendeteksi kondisi pasien, 97,4 % perawat mengatakan lebih efektif dan 92,3 % perawat mengatakan lebih efesien mendeteksi perubahan kondisi pasien. Modifikasi EWS menjadi REWS lebih efektif dan efesien dilakukan karena disesuaikan dengan jenis dan kekhususan Rumah Sakit dan berdampak terhadap kualitas asuhan keperawatan dalam menerapkan keselamatan pasien. Rekomendasi perlu dilakukan monitoring evaluasi terhadap implementasi t.erhadap implementasi REWS dan pengembangan aplikasi berbasis tehnologi

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