Digital Maps Based Customer Data and Asset Management System for Electric Power Sector in Nigeria
Year: 2025
Type: article
Abstract: Electricity is one of the most important and basic needs of today’s community. It is an aspect of the utility sector that is very essential to the smooth and meaningful development of any country's economy. Customers' data are tied to a property, asset, and the property owner which makes it difficult for meter transfer within the Local Distribution Company (LDC) Electricity utility network. Asset Registration data is fixed to a particular property and owner of a property which makes the problem of settling outstanding bills owed by customers while residing in a particular property difficult to recover thereby leaving the burden of payment of the debt to the property owner and LDC recovering its debt difficult. GIS maps the exact location and survey coordinates of an object in space to provide answer to queries using a computer system. For the purpose of this research work, GIS will be used to develop a detailed mapping where the assets and customers of a LDC are located at. This will help in fast and easier retrieval of information for instantaneous use in the area of planning, monitoring and management of their assets and customers. The research work is aimed at using hand-held Global positioning system (GPS) to obtain the geographic coordinates of all assets and customers other detailed information which will be used to build the attribute. Series of spatial search/query operation will be carried out on the electric poles, feeder pillars, buildings and transformers to provide answers to the pending questions that will lead to effective management of the assets and customers within LDC network. Keywords: digital map, LDC, GIS, GPS, PHCN Ikporo Stehen Chibueze; Emewu Benedict Mbanefo; Ugwu Gabriel Evo & Ogbaga, Ignatius Nwoyibe(2025): Digital Maps Based Customer Data and Asset Management System for Electric Power Sector in Nigeria. Journal of Advances in Mathematical & Computational Science. Vol. 13, No. 2. Pp 35-44. Available online at www.isteams.net/mathematics-computationaljournal. dx.doi.org/10.22624/AIMS/MATHS/V13N2P3
Language: English
Subfield: Geography, Planning and Development
Field: Social Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4411280406