2results about How to "Clearly identifiable" patented technology

The application relates to a project management method, device, computer equipment and storage medium. The project management method comprises the following steps: acquiring project data; splitting the project data, acquiring data segments, mapping the data segments, and acquiring mapping data; according to the type of the mapping data, merging the mapping data of the same type to acquire marking data; according to the type of the marking data, aggregating the marking data of the same type to acquire a first data unit; presetting a second data unit, comparing the first data unit with the second data unit, positioning problems, and acquiring a management result. Through acquisition of a large amount of project data, the project data is classified, aggregated and analyzed, automatic management of the project is realized, the data processing capacity of the system is enhanced, the data has more definite identification, the work efficiency is improved, and the problem positioning accuracy is improved.

The application discloses a heavy haul train operation state visualization method and related device, and relates to the technical field of heavy haul railway transportation. The method comprises filtering a speed sequence and a safety limit distance sequence of a preceding vehicle to obtain a filtered distance sequence and a speed sequence; adopting a quantum particle swarm optimization algorithm to determine an optimal clustering number, and performing K-medoids clustering on the filtered distance sequence and the speed sequence to obtain a clustering label of each sample point; calculating a point membership of each sample point according to a clustering center of a cluster to which each sample point belongs, and screening a high-confidence point from each cluster based on the point membership; calculating a sphere center and a radius according to coordinates of the high-confidence point in a three-dimensional analysis space to generate a three-dimensional confidence sphere; projecting a real-time collected preceding vehicle state point into the three-dimensional analysis space, and outputting an auxiliary control prompt. The application improves the accuracy of auxiliary decision-making and the safety of tracking operation of a driver of a following vehicle of a heavy haul train.