Price: 1000000
Number of applications: 14
18.03.26 (inclusive)
Cash (tenge)
MVP
ICT tasks
Extraction and processing of hydrocarbons raw materials
Other technological solutions
Software/ IS
The company operates a fleet of special equipment at several oil fields. Dozens of applications for work on wells and other facilities are generated daily. The dispatcher schedules applications a week or more in advance, assigns equipment and drivers manually, and monitors movements in real time through the Wialon monitoring system. The road network of the deposits includes both official roads and rolled field paths reconstructed from GPS tracks of equipment. Manual planning leads to system losses in several areas: • The dispatcher does not take into account the actual road network of the field when assigning equipment, focusing on approximate distances. • The future employment of equipment and the estimated time of release are not taken into account, which leads to downtime and delays. • There is no mechanism for combining applications: the ability to execute several close applications with one car at a time is not used. • Application priorities are handled informally, without quantifying the impact on the overall efficiency of the fleet. Consequences: excessive mileage and fuel overruns, equipment downtime, delays in the execution of high-priority applications, inefficient use of the fleet as a whole.
A working prototype of the backend + API, tested through Postman/curl or a simple frontend.
Kubekova Symbat Kulbarakovna
Purpose and description of task (project)
To develop a prototype of a backend service that solves the problem of optimal routing of special equipment. The service must: 1. Recommend the optimal technique for the application with the justification of the choice: distance along the graph of roads, estimated time of arrival (ETA), priority of the application, availability of equipment. 2. Build routes according to the graph of roads of the deposit (the graph has already been restored from GPS tracks and is provided ready-made). 3. Take into account the priorities of applications: for a high priority, it is allowed to choose a more distant but free technique; for a low priority, it is allowed to wait for the nearest one. 4. Evaluate multitasking: analyze the feasibility of combining several applications with one machine in one trip. 5. Provide the result via the REST API and support the visualization of routes (minimally — coordinates / geometry, on the demo — on the map).
Note
Stages of the event: 1. Decision-making until 03/18/2026 2. Diagnostics and selection by 03/25/2026 (the expert commission will review and evaluate all solutions presented by the participants, as a result of which the teams that have passed the final stage of the hackathon will be determined) 3. Demo Day of the finalists on 30.03.2026 at 15:00 at the Astana Hub
Whatsapp
