TY - JOUR
T1 - Asset Monitoring of Water Meters Using Integration of GIS and Low-Cost GNSS
AU - Susanto, L. O.F.
AU - Raharjo, A. B.
AU - Haq, F.
N1 - Publisher Copyright:
© 2023 Institute of Physics Publishing. All rights reserved.
PY - 2023
Y1 - 2023
N2 - The high growth rate of the City of Surabaya increases the use of clean water services. The Regional Drinking Water Company (PDAM) of Surya Sembada, as the main provider of clean water in the city of Surabaya and its surroundings needs to carry out optimal asset management to maintain the expected level of service. In this study, an analysis of the condition of PDAM Surabaya's assets will be carried out on a WebGIS platform that is connected to a database for optimal and sustainable PDAM water meter asset management. Location, water consumption history, and condition data of water meter assets from January to April 2022 are recorded using an Android-based GIS application that is connected to low-cost GNSS. The data recorded in the android application is integrated with WebGIS in real time for accurate positioning and cost-effective asset monitoring. Analysis of asset conditions will be carried out in the form of risk analysis to determine the risk of an asset in each service zone. The resulting data shows that zone 102, 104 and 105 was categorized as a very high risk zone for meter failure. This means, that there are a higher probability of a meter failure incident within that subzones.
AB - The high growth rate of the City of Surabaya increases the use of clean water services. The Regional Drinking Water Company (PDAM) of Surya Sembada, as the main provider of clean water in the city of Surabaya and its surroundings needs to carry out optimal asset management to maintain the expected level of service. In this study, an analysis of the condition of PDAM Surabaya's assets will be carried out on a WebGIS platform that is connected to a database for optimal and sustainable PDAM water meter asset management. Location, water consumption history, and condition data of water meter assets from January to April 2022 are recorded using an Android-based GIS application that is connected to low-cost GNSS. The data recorded in the android application is integrated with WebGIS in real time for accurate positioning and cost-effective asset monitoring. Analysis of asset conditions will be carried out in the form of risk analysis to determine the risk of an asset in each service zone. The resulting data shows that zone 102, 104 and 105 was categorized as a very high risk zone for meter failure. This means, that there are a higher probability of a meter failure incident within that subzones.
UR - http://www.scopus.com/inward/record.url?scp=85147288176&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/1127/1/012005
DO - 10.1088/1755-1315/1127/1/012005
M3 - Conference article
AN - SCOPUS:85147288176
SN - 1755-1307
VL - 1127
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012005
T2 - 7th Geomatics International Conference, GEOICON 2022
Y2 - 26 July 2022
ER -