Context: the company operates a fleet of more than 300 trucks and 70 sand / gravel quarries. Materials are loaded both in quarries and on site (e.g. salt). Weighing trucks on stationary scales is an expensive and time consuming process. There is a need for quick calculation of truck weight or weight change after materials have been loaded.
Possible solution: contactless truck real-time weighing technology that can be implemented both in permanent weighing locations and in temporary, single-weighing locations.
Context: large quantities of bulk materials (salt, sand, sand-salt mixture) causes problems when trying to estimate warehouse balances in real time. Conventional methods for the calculation of residues of bulk materials are slow, requiring many hours of both surveying equipment and human labor.
Possible solution: methodology or technical solution to calculate the amount of bulk material stored in both closed and open areas. The calculation the quantities of materials in both volume (m3) and weight (t) units.
Context: an array of precise coordinates is obtained from all self-propelled mechanisms during the road works. According to the existing contracts, the company has to provide data on the completed road work, the road number and the exact kilometer where the work was completed. Currently, the coordinates are converted according to the available road network using GIS calculation algorithms, but this process takes too long and the resulting data is not accurate enough.
Possible solution: an algorithm, which would be capable of converting work location point packets presented in coordinates into road numbers and kilometers. Each location in terms of road numbers and kilometers according to the Lithuanian state road network must be provided with an accuracy of at least 0.01 km compared to the coordinates of a point.
Context: in winter road maintenance, it is very important to have at least a minimum supply of the necessary materials at all times. It takes about 14 days from ordering the salt to delivery to the warehouse, making it difficult to ensure sufficient stock. At present, decisions are based on general weather forecasts and common sense or years of experience, which is not accurate nor effective.
Possible solution: an algorithm or tool that evaluates publicly available long-term weather forecasts from reliable sources (15-30 days ahead) and provides a recommendation on when to value and how much materials should be ordered based on potential consumption under expected weather conditions. Potential source of meteorological data: sdc.climate.copernus.eu