09-11, 14:00–14:30 (America/Chicago), Grand F
The manual design of a new electric power line is a time consuming and costly activity that requires massive .
Thus the need of platforms model such as open street map as to meaningfully contribute electricity infrastructure using open source platforms
According to recent statistics for Zimbabwe, 8,500,000 inhabitants are without electrification. 60% of the total population lack electrification. Furthermore, in the urban area, 20% are without electricity access while an alarming 79% resides in rural areas. The overwhelming electricity deficit identified in the study area has drawn the attention of energy practitioners and policymakers(Samu, Bekun, & Fahrioglu, 2019).This therefore shows the need for new technologies to fill in the gap
The previous methods of designing electricity distribution lines, which mainly depended on drawings and work experience, not only lags behind but also affects work efficiency(Jakubiec & Reinhart, 2013). With the advent of the open street map platform which is a space to add missing information on real world features. However whenever electricity lines are constructed there is a pathway which is known as a wayleave which meant give space for the line such that whenever it is constructed, maintained or repaired there aren’t any disturbances with the local community
The introduction of 3D GIS has proven to be a sustaining tool in terms of reducing labor and time thus increasing efficiency. OSM and remote sensing are important tools in electrіfіcatіon projects (Sekhar et al., 2008). Data collection is a fundamental tool in network planning for remote areas. These tools will help planners to avoid those areas which are prone to high faults for example water lodged areas. The provision of affordable electricity energy is necessary for development(Mentіs et al., 2015).
Almost all of the systems used by the OSM community to date were mainly based on two-dimensional or two and a half dimensional spatial data. In other words one may find it difficult processing and manipulating spatial data greater than 2D in the existing systems, resulting in inaccurate or at least incomplete information. Furthermore, manipulating and representation of real world objects in 2D GIS with are no longer adequate because new applications demand and increasingly deal with more complex hierarchical spatial data than previously supported(Abdul-Rahman & Pilouk, 2007).
One of the sіgnіfіcant drivers of socіo-economic development of a country іs the access to electricity which contributes a lot in health, education, agriculture and environmental sustaіnabіlіty(Kemausuor, Obeng, Brew-Hammond, & Duker, 2011). In Zimbabwe, the current approach of designing of electrical power lines is flawed and leads to time consuming and wastage of resources.
Since the beginning of 2010s, OSM has developed into an advanced system for preserving and analyzing geographical and thematic data on spatial objects. The need for 3D information is rising quickly. In some circumstances, such as those involving noise prediction models, water flood models, air pollution models, and geological models, 2D analysis has proven to have drawbacks. The requirement for 3D geo-information has also been answered by 3D urban planning, environmental monitoring, telecommunications, public rescue operations, and landscape design, among other fields(Stoter & Zlatanova, 2003).
