Jakarta Lightning Detection System

2019 International Conference on Electrical Engineering and Informatics (ICEEI) Pub Date : 2019-07-01 DOI:10.1109/ICEEI47359.2019.8988802

A. Wibowo, R. Zoro

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引用次数: 3

Abstract

Lightning is a serious problem for modern community. Direct lightning stroke can damage or destroy an obect and hurt or even kill a living thing. Indirect lightning stroke can damage elecronic and microcontroller stuff because it has very small or thin insulation. For all of that reason, Lightning Detection System (LDS) is needed to minimize the loss that caused by lightning strike. LDS can split into real time application and historical application. Real time application of LDS used as early warning of lightning strike. Historical application of LDS used as consideration in long planning such as structure planning, work shift planning, and lightning protection planning, etc. Observation area is DKI Jakarta from 4th April 2017 until 18th July 2018. In this study, the data collection is done through documentation studies. Data collection done by collecting data from existing database that belong to PT PLN Puslitbang using software Vaisala FALLS. The data that collected is the location, time, and peak current of flash. Lightning data then get processed using Microsoft Excel and Google Earth then shown as flash density map, variance of monthly lightning events, and peak current probability.

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雅加达雷电探测系统

闪电是现代社会的一个严重问题。直击雷击可以损坏或摧毁物体，伤害甚至杀死生物。间接雷击会损坏电子和微控制器器件，因为它们的绝缘层很小或很薄。因此，需要闪电探测系统(LDS)来最大限度地减少雷击造成的损失。LDS可以分为实时应用和历史应用。LDS在雷击预警中的实时应用。LDS在长期规划中的历史应用，如结构规划、班次规划、防雷规划等。从2017年4月4日至2018年7月18日，观测区为雅加达DKI。在本研究中，数据收集是通过文献研究法完成的。数据收集通过使用Vaisala FALLS软件从属于PT PLN Puslitbang的现有数据库中收集数据完成。采集的数据为闪蒸的位置、时间和峰值电流。然后使用Microsoft Excel和Google Earth处理闪电数据，然后显示为闪电密度图，每月闪电事件的方差和峰值电流概率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2019 International Conference on Electrical Engineering and Informatics (ICEEI)

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