DESIGN AND IMPLENTATION IOT-BASED DATA ANCQUSITION SYSTEM FOR URBAN HEAT ISLAND OBSERVATION

Along with development of big cities and emergence of urbanization, there are many phenomena have occurred that have an impact on surrounding environment. One of the phenomena of urban environment is urban heat island or what we usually call UHI. UHI is a phenomenon where air temperature in urban...

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Bibliographic Details
Main Author: Ilman Fauzandi, Fachri
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/70814
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Institution: Institut Teknologi Bandung
Language: Indonesia
Description
Summary:Along with development of big cities and emergence of urbanization, there are many phenomena have occurred that have an impact on surrounding environment. One of the phenomena of urban environment is urban heat island or what we usually call UHI. UHI is a phenomenon where air temperature in urban areas can be higher than surrounding temperature. This phenomenon triggers many environmental changes in urban areas, starting from changes in services, ecosystem functions, local weather, and microclimate. UHI is one of main issues that must be considered in the urban planning process. For this reason, a fix station with the name Heat Island Telemetry (HIEL) is proposed by authors to facilitate process of observing UHI phenomenon using IoT consept at beginning of study. However, at the time of its implementation, there were some usage problems and perfomance issues. Therefore, author propose a dedicated data acquisition system for UHI observation purposes as the next generation of HIEL. This system is divided into telemetry which functions to perform data retrieval, cloud service which is used as an endpoint for data collection and retrieval, and a desktop application which is used for telemetry configuration, telemetry management and data measurement. This system goes through 4 stages of testing, unit testing, integration testing, system testing, and acceptance testing. From test results, it was found that the system can carry out data acquisition process from initial data collection using sensors, data management, and accessing data by client. This system can handle MQTT requests up to 370 messages/sec with latency of 52 ms and REST API requests of 30 messages/sec with a latency of 3353 ms.