7results about How to "Improve site selection efficiency" patented technology

The invention provides a warehouse site selection method and system. The method comprises the following steps: obtaining order information and target demand information corresponding to a target merchant, and network optimization constraint information corresponding to the target demand information; wherein the target demand information comprises a target scene and a target demand; the target demand is the optimal cost or the optimal time efficiency; if the target scene is a long-term optimization scene, determining at least one warehouse according to the commodity demand and network optimization constraint information of each city in the order information; determining a plurality of warehouse combination schemes according to a preset warehouse range, the at least one warehouse and the network optimization constraint information, and determining the service cost and the timeliness of each warehouse combination scheme; and according to the business cost and the timeliness of each warehouse combination scheme, determining the city corresponding to the preposed warehouse in the warehouse combination scheme with the optimal business cost or the optimal timeliness matched with the target demand in each warehouse combination scheme as a preposed warehouse address.

The invention discloses a rapid site selection method and device for a large number of express delivery self-pick-up points, electronic equipment and a storage medium. The method comprises the steps that a target site selection area of an express self-pickup point is determined, site selection related data corresponding to the target site selection area is determined, and the site selection related data comprises multiple self-pickup object data, receiving address data of each piece of self-pickup object data and receiving quantity data of each piece of self-pickup object data; dividing the target site selection area according to the site selection related data to obtain a plurality of sub-site selection areas, and determining a target affiliation relationship between the sub-site selection areas and the site selection related data; for each sub-site selection area, determining site selection key data of the sub-site selection area according to the target affiliation relationship; and determining self-pickup performance parameters of the target self-pickup point, and performing self-pickup point site selection according to the self-pickup performance parameters and the site selection key data to obtain a target site selection result. Based on the technical scheme of the invention, the reasonability of express delivery self-pickup site selection can be effectively improved, and the efficiency of site selection can be effectively improved.

The present invention provides a method, device, equipment and readable storage medium for selecting a site for a battery swap station, and relates to the technical field of battery swap stations. The method comprises: obtaining a set of driving trajectory points of a vehicle; screening edge driving trajectory points in the driving trajectory point set to obtain a first driving trajectory point set other than the edge driving trajectory points in the driving trajectory point set; dividing the first driving trajectory point set into regions to obtain multiple regions and the center point of each region; and determining the recommended address of a battery swap station corresponding to each region according to the center point of each region. The solution of the present invention can accurately select the site address of a battery swap station.

The present invention provides a method for selecting the optimal construction path of pole towers in mountainous areas, which relates to the technical field of power transmission line planning. In the process of line planning, the method reduces the difficulty of calculation by dividing the map into sections, adopts a path-finding algorithm to form an initial optimal path based on the path movement cost, and then combines the consideration of the actual impact range of the obstacle area to design a detour plan when the initial optimal path passes through the obstacle area; then, the path is screened according to the set principles to ensure that the pole towers of the optimal path consume less and the cost is lower; finally, the optimal paths of each section are spliced ​​to form an overall optimal construction path. Compared with the traditional site selection method, the method of the present invention effectively improves the calculation speed, and the final optimal construction path is more accurate in drawing and site selection, which greatly reduces the number of reworks and improves the efficiency of pole tower construction route site selection; the measurement results are more accurate, reducing the waste of redundant pole towers and reducing construction costs.

The invention relates to a lunar surface sampling area site selection method based on multi-source data, and belongs to the technical field of deep space exploration. Determining the site selection constraint of the lunar surface sampling area; integrating site selection constraints, and carding available data sources; determining an analysis model and an analysis chart corresponding to each data source; establishing a site selection constraint analysis method; dividing a site selection constraint analysis stage into a sampling area rapid progressive analysis stage and a fine analysis stage; carrying out analysis stage classification and distribution on each site selection constraint analysis method, sorting each site selection constraint analysis method, and formulating a screening process of a sampling region; carrying out rapid progressive analysis on the sampling area to obtain an optional range covering the final sampling area; carrying out fine analysis on the selectable range covering the final sampling area to obtain several alternative sampling areas; optimal conditions are set for the alternative sampling areas, and a final sampling area is confirmed; according to the method, the site selection efficiency can be improved, the credibility of a data source is enhanced, and balanced optimization selection of rapid asymptotic and refined analysis of the sampling area is realized.

The application discloses an H-ADCP installation position optimization method based on cross-section traversal scanning, which comprises the following steps: 1) selecting a cross-section to be installed, using a sailing ADCP to measure flow and synchronously observing water level under different water level stages or flow velocity stages, and calculating the average flow velocity of each cross-section; 2) importing the flow velocity data into a cross-section terrain model, dividing candidate units, traversing and extracting representative flow velocities, and generating a flow field and a standard deviation distribution diagram; and 3) comprehensively analyzing and determining the final position through multi-dimensional quantitative evaluation of flow velocity standard deviation, random uncertainty and correlation coefficient, combined with on-site conditions such as terrain adaptability and interference degree. The method disclosed by the application has high site selection efficiency and is suitable for H-ADCP installation site selection in rivers, lakes and other water areas, and is helpful to improve the online monitoring accuracy of river flow.

The application discloses a kind of based on multi-factor fusion's electric bicycle battery swap cabinet site selection suitability evaluation method, belong to urban traffic supporting facilities site selection technical field.For the problem that existing battery swap cabinet site selection lacks quantitative analysis, low degree of automation, the application fuses analytic hierarchy process AHP, geographic information system GIS, preference order structure evaluation method PROMETHEE and Python-ArcPy technology, first constructs construction, traffic, ecological three-dimensional index system, and determines the index weight by AHP;Then realize data cleaning, differential normalization and weighted superposition automatic calculation using Python-ArcPy, output comprehensive score;Again, extract high suitable area as candidate point by GIS;Finally, calculate net flow value ranking using PROMETHEE method, combined with service radius and field research screening optimal point.The application realizes site selection whole process automation and spatial visualization, significantly improves evaluation efficiency and accuracy, and can be popularized to similar new energy supporting facilities planning.