| Popis: |
Filling liquefied natural gas (LNG) into the vehicles onboard tanks is one of the most dangerous production operations when using LNG as a motor fuel. Technical requirements form the volume of hazardous substance (LNG) stored at the refueling facility and restrictions on fire distances (gaps) and measures, which leads to an increase in the facilitys area and the cost of its construction and operation. One of the ways to reduce costs associated with protective measures is to limit the amount of fuel stored at the facility, while providing the flow of vehicles with fuel with its limited reserves at refueling facilities. To solve this problem, it is proposed to use the planning of the process of refueling vehicles using fuzzy logic methods using artificial intelligence. As a result, the fueling companys fuel information service provides drivers with recommendations on possible refueling locations, fuel costs, available fuel volumes, and waiting times. |
