ProstěTeam

Problem: The construction of new lines faces many challenges today. When planning a route, it is necessary to take into account many different criteria from an environmental perspective, such as deforestation, floodplains, national parks, erosion risks, and more. The planning process is slowed down by the fact that designers must search for data in many different places and combine the effects of individual factors in an appropriate manner themselves. The risk of human error is high.

Solution: We have developed a service that allows users to view all relevant data on a single map. New data can be added to the map as additional layers in the form of GeoJSON or other vector files. We have also created an environmental index that uses data from the added layers to calculate how suitable a given location is for building a power line tower—for example, in a protected landscape area or flood zone, the index is 0 (do not build here), in a forest the index is lower than in a field, and so on.

Impact: The result of our efforts is a tool that allows designers to obtain all the data they need for their work in a fraction of the time. If it were to be further developed correctly, its focus could be expanded from the environment to other factors, such as land management or consideration of existing infrastructure. The index we have created could also easily be used to develop an algorithm for finding the optimal power line route.

Feasibility & financials: We have a functional, very low-cost demo that demonstrates our idea is feasible. We use free open-source data. However, if the reliability of this data proves insufficient, it would be necessary to purchase some data. Additionally, funding would be required for further development and for hosting the service on a server. However, by speeding up the process, we eliminate significant expenses (including costs of repeatedly planning the same route due to changing circumstances).

What is new about your solution?: Our solution offers a new way to unify all data relevant to power line planning into a single tool, allowing designers to efficiently and reliably account for environmental requirements. By calculating an environmental index, we can reflect the varying impact of different factors and identify the best locations for pylons and routes. This also enables advanced features like optimal route finding, evaluation of existing lines, and heatmap generation across the entire area.

What you have built at the hackathon - text explanation + code (e.g. GitHub link): A web application built with TypeScript, Next.js, and React, using Leaflet as the map renderer. It allows adding map data layers (e.g., GeoJSON) on top of the map. The server runs in Docker and the app works on both desktop and mobile, though performance is not optimized. The code includes an algorithm to calculate an environmental index based on a formula that incorporates user-defined priorities. GitHub repository: https://github.com/lika85456/greenhack2025

What you had before the hackathon, please mention open source as well: We decided on this challenge on the spot, after receiving more details to better understand the issue. Therefore, all the resources we used were found within the past 24 hours. However, although we had no work prepared before the hackathon, we were able to rely on tools and AI assistants we were already familiar with, also on our experience, and the valuable advice from ČEPS experts.

What comes next and what you wish to achieve: - Adding additional specific data layers (e.g. bee protection zones, land management registry, bird migration routes). - Optimizing the map renderer to handle these data sources smoothly and without lag. - Calculating a heatmap for a defined area to support route generation or selection of the optimal path for power line towers. - Developing algorithms that leverage the environmental index (e.g. shortest route within a set threshold, evaluating existing infrastructure)