5results about How to "Evenly divided" patented technology

The invention discloses a ship path search and arrival time prediction method based on AIS historical data. The method comprises the following steps: S1, setting grid feature codes of AIS data; s2, constructing an AIS track network and weights; and S3, searching and simplifying a ship path. The method has the advantages that the abnormal data is removed based on the geographic space features and the track features, and the quality of ship data and the path searching effect in the global range are improved. An AIS data gridding method based on a Google S2 spatial coding principle is provided, and the grid size is intelligently planned according to the density of AIS data. The dynamic weight strategy is introduced into the edge weight endowing of the AIS trajectory network, the weight is dynamically adjusted according to the daily density condition of the ship, the method adapts to the change of ship distribution in different time periods, and the path search accuracy is improved. A directed path search optimization method based on a Bellman-Ford algorithm and a path trajectory simplification method based on Kalman filtering are provided, the efficiency of the path search algorithm is improved, and efficient expression of the path trajectory is achieved.

The utility model discloses a strawberry cleaning and conveying integrated structure. The strawberry cleaning and conveying integrated structure comprises a feeding mechanism, a conveying mechanism arranged at the discharging end of the feeding mechanism, a picking mechanism erected above the conveying mechanism, a cleaning mechanism arranged at the discharging end of the picking mechanism, a circulating system arranged below the cleaning mechanism and a conveying mechanism arranged below the feeding mechanism and the conveying mechanism. The picking mechanism, the cleaning mechanism and the circulating system are electrically connected with the controller; according to the strawberry cleaning and conveying integrated structure, automatic conveying, automatic recognizing and grabbing, automatic strawberry pedicle removing, automatic cleaning and automatic sorting are facilitated, and strawberries are evenly separated, lifted, conveyed, grabbed, pedicle removing, cleaning and sorting are achieved through the system. The whole process adopts a plurality of operation processes such as visual guidance, intelligent identification, automatic pedicle removal, automatic cleaning and automatic sorting, and solves a plurality of quality problems in the strawberry processing and production process.

The invention relates to a cluster division method of a building direct current interconnection power distribution system for photovoltaic consumption rate improvement. The cluster division method comprises the following steps: acquiring building group data; obtaining a spanning tree representing the interconnection condition in the cluster; calculating the interest-considered interconnection cost of the spanning tree, and generating a cluster division result, an interconnection condition and a maximum photovoltaic consumption rate when the fitness is optimal; and (3) changing the interest rates and the energy storage coefficients, returning to the step (2), generating a cluster division interconnection diagram under different interest rates and different energy storage coefficients, and analyzing the influence of the interest rates and the energy storage coefficients on the cluster division result and the maximum photovoltaic consumption rate when the fitness is optimal. According to the method, the advantage of iterative optimization of the particle swarm algorithm and the advantage of uniform cluster division of the K-means algorithm are combined, cluster division can be more uniform, the electricity purchase demand of the building for the power grid is reduced, the consumption rate of photovoltaic energy is improved to the maximum extent, and the load demand, namely the peak load, of the power utilization peak period of the building is reduced.

The application discloses a soft material bubble dynamics finite element analysis method, electronic equipment and medium, and the method comprises the steps of constructing a soft material bubble model; the method comprises the steps of establishing a hollow sphere model, dividing the hollow sphere model into blocks and dividing the grid, so that the grid forms a uniformly distributed wedge-shaped grid in space; defining the physical parameters of the soft material bubble model; defining the gas pressure on the inner surface of the bubble and setting the contact condition; applying a dynamic load and superimposing an initial defect including displacement and / or pressure; based on the orthogonality of spherical harmonics, identifying the relationship between the amplitude of the asymmetric deformation of the bubble and time.

The present invention relates to the field of big data technology, and discloses a method for generating long-term and short-term user portraits, including the following steps: obtaining Hbase information of a distributed storage system from broadcast variables; pulling user behavior data in the Hbase information according to the user number, calculating real-time interest scores and historical interest scores, and obtaining long-term and short-term user interest tags according to the preset mapping relationship between the real-time interest score and the user interest tag, and the preset mapping relationship between the historical interest score and the user interest tag; converting the long-term and short-term user interest tags into Jason json format, encrypting the user's sensitive information through the information digest algorithm MD5, and storing it in a preset storage system; obtaining long-term and short-term user interest tags, and generating long-term and short-term user portraits based on the long-term and short-term user interest tags. The present invention also provides a long-term and short-term user portrait generation device, equipment, and readable storage medium, and the long-term and short-term user portrait generation method provided by the present invention improves the accuracy of user portraits.