32results about How to "Improve site selection efficiency" patented technology

The invention provides a base station position determination method and device, equipment and a storage medium. The method comprises the following steps: a server acquires base station parameters anduser characteristics by collecting various existing network data; and the server determines a base station portrait according to the base station parameters. The server determines a micro-grid index according to the user characteristics and the base station parameters. The server determines a high-service-value area according to the micro-grid indexes. The server determines a 5G value area according to the base station portrait on the basis of the high service value area. The server determines a 5G station address capable of covering the 5G value area according to the 5G value area so as to obtain a 5G station address library. According to the method provided by the invention, the effect of improving the site selection efficiency in large-scale site selection is realized on the basis of meeting the slicing and personalized network coverage requirements in the 5G era and the functional requirements of mobile internet rapid iteration.

The invention discloses a farm site selection method and device, equipment and a computer readable storage medium, and the method comprises the steps: obtaining the remote sensing satellite map data of a to-be-selected region, and extracting the site selection consideration factor information in the to-be-selected region based on the remote sensing satellite map data; based on a preset farm site selection rule and the site selection consideration factor information, determining alternative positions from the to-be-selected area; and determining a final site selection position of the farm basedon the alternative positions. According to the method, various factors influencing farm site selection are fully considered, so that the farm address is scientifically planned and designed, alternative positions meeting conditions can be automatically screened out on the basis of a computer algorithm, the labor cost is reduced, and the overall site selection efficiency is improved.

The invention relates to a store site selection method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a regional map, dividing the regional map into a plurality of grid units, and receiving a region be subjected to site selection selected from the regional map; determining a grid unit be subjected to site selection according to the region be subjected to site selection, wherein the grid unit be subjected to site selection is a grid unit corresponding to the regionbe subjected to site selection in the regional map; performing statistics on site selection influence data in the region mapped by the grid unit be subjected to site selection; according to a store site selection model and the site selection influence data, calculating an operation income prediction value of a store to be subjected to site selection in a region mapped by the grid unit to be subjected to site selection, wherein the store site selection model is a pre-trained model; and determining a site selection region of the store to be subjected to site selection according to the operation income prediction value. By adopting the method, the manual work amount can be saved, the store site selection period is optimized, and the store site selection efficiency is improved.

The embodiment of the invention provides a macroscopic site selection method and system for a wind power plant and related equipment, which are used for improving the efficiency of wind power plant macroscopic site selection. The method provided by the embodiment of the invention comprises the following steps: receiving project attribute information, wherein the project attribute information at least comprises a project site selection range; obtaining a first type of drawings, wherein the first type of drawings comprise land property information in the project site selection range; identifyingland property information of each region in the first type of drawings by adopting an image identification algorithm, and screening out a first available region from a project site selection range according to the land property information; acquiring a satellite map of the project site selection range, identifying land geographic features in the satellite map by adopting an image identification algorithm, and screening out a second available area from the project site selection range according to the land geographic features; and taking an overlapping region of the first available region andthe second available region as a wind power plant pre-selection distribution region.

The invention provides a photovoltaic module arrangement plot determination method and device, and the method comprises the steps: removing remote or isolated small plots according to the coordinate point of each photovoltaic module in a photovoltaic module pre-arrangement diagram corresponding to a total plot region under the condition of determining the total plot region, and determining a plurality of high-aggregation-degree plot combinations; on the basis, calling a pre-constructed internal yield model, comprehensively considering the multi-dimensional evaluation index values of the high-aggregation-degree plot combinations, calculating the internal yield of each high-aggregation-degree plot combination, and determining the high-aggregation-degree plot combination with the highest internal yield as a final photovoltaic module arrangement plot. The current simple and extensive land parcel selection mode based on manual delineation is changed, accurate selection of photovoltaic module arrangement land parcels is realized by integrating multi-dimensional evaluation indexes, and the site selection efficiency of photovoltaic power station construction is further improved.

The invention discloses a store site selection method, which comprises the following steps of: acquiring a store coordinate, and determining a corresponding store business district according to the store coordinate; determining honeycomb grid division information according to a preset H3 resolution; determining a target honeycomb grid where the store coordinates are located according to the honeycomb grid division information; by taking the target honeycomb grid as a center, outwards expanding a preset number of layers to obtain a honeycomb grid set; calculating the coverage rate of each honeycomb grid in the honeycomb grid set to the store business district; and performing store site selection in the honeycomb grid set according to each coverage rate. By applying the technical scheme provided by the invention, faster and more efficient store site selection can be realized. The invention further discloses a store site selection device, computer equipment and a computer readable storage medium which all have the above beneficial effects.

The invention provides a site selection method, device and equipment. The site selection method comprises the steps of determining a first set of reference points in a to-be-selected region; selectinga plurality of pairs of reference points of which the distances are not less than a second threshold value from the first set as candidate points, wherein the second threshold value is greater than the first threshold value; constructing a network graph based on the plurality of pairs of candidate points, the network graph comprising the candidate points and edges between the candidate points, the network graph being a directed graph, and the direction of each edge in the network graph being a first direction; dividing the network diagram into n sub-network diagrams, distributing the n sub-network graphs to n servers, thereby enabling each server to sequentially exclude candidate points of which the distances from the candidate points adjacent to the the received candidate points in the sub-network diagram in the first direction are not less than the second threshold; and determining the candidate points of which the distances from the candidate points adjacent to the received candidate points in the sub-network diagram in the first direction are less than the second threshold as site selection points.

The invention discloses a charging station site selection system and method based on a sensing network, and the system comprises a speed sensor used for collecting N vehicle speed signals of a targetstraight road in a preset site selection region in a preset time period; a carbon monoxide sensor used for acquiring a target carbon monoxide signal in the target straight road at the end of the preset time period; a central processing unit used for converting the N vehicle speed signals into N speed values and converting the target carbon monoxide signals into target carbon monoxide values, estimating the number of electric vehicles in the target straight road according to the N speed values and the target carbon monoxide value; and when the number of the electric vehicles is greater than a preset number threshold value, setting the target straight road as a charging station alternative place; and an image acquisition device used for acquiring license plate image information of vehicles passing through the charging pile alternatively so as to determine a target charging station address in the preset site selection area. According to the invention, cost and time for site selection of the charging station are reduced.

The invention provides a quick land selection method for panax notoginseng planting areas. The steps include: looking for land blocks with good Alnus cremastogyne growth conditions to obtain type A land blocks; excluding Oxalis corniculata growth land blocks from the type A land blocks to obtain type B land blocks; excluding panax notoginseng and vegetable crop planted land blocks suffering stem leaf yellowing to obtain type C land blocks; in the type C land blocks, excluding the land blocks in which forecrop plants have more than 10 tuberous roots and root knots, thus obtaining type D land blocks; in the type D land blocks, selecting land blocks with more than 20 years of crop rotation, thus obtaining type E land blocks; and in the type E land blocks, excluding land blocks using non-decomposed organic fertilizers so as to obtain type F land blocks, i.e. panax notoginseng planting areas. The method provided by the invention improves the land selection efficiency, lowers the risk of planting, lays a good foundation for guaranteeing the yield and quality of panax notoginseng plants, effectively reduces the field management difficulty in the process of planting, the method is simple and reliable, and is easy to popularize.

The invention discloses an energy storage system site selection method and system and a storage medium, node voltage square term sensitivity is adopted to replace traditional node voltage sensitivity, evaluation indexes are calculated through the node voltage square term sensitivity, energy storage system site selection is carried out, compared with a traditional method, the calculation complexity is greatly reduced, and the energy storage system site selection efficiency is improved. And the site selection efficiency is enhanced.

The invention provides a resource-based site selection method and device, computer equipment and a storage medium, and the method comprises the steps: determining a target field corresponding to a target resource; determining a plurality of resource evaluation index sets with father-son hierarchical relationships corresponding to the target domain, wherein each resource evaluation index in each resource evaluation index set is configured with a corresponding weight; for each candidate region associated with the target resource, obtaining an index value of each final-stage resource evaluation index of the candidate region in a final-stage resource evaluation index set corresponding to the target domain; based on the index value of each final-stage resource evaluation index and the weight ofeach resource evaluation index in each resource evaluation index set, determining the matching degree of the candidate region and the target resource in the target domain; and determining the candidate region corresponding to the matching degree reaching the matching degree threshold in the matching degrees corresponding to the plurality of candidate regions as the site selection region of the target resource. According to the embodiment of the invention, the site selection efficiency is improved.

The invention provides an efficient site selection method for a multi-satellite shared SAR comprehensive calibration field, which comprises the following steps: S1, determining a calibration position range of the multi-satellite shared SAR comprehensive calibration field according to the breadth of each satellite; S2, roughing the positions of the comprehensive calibration fields in the calibration position range to obtain position coordinates of a plurality of comprehensive calibration fields; s3, analyzing site terrains corresponding to the position coordinates of the plurality of comprehensive calibration fields to obtain a plurality of first comprehensive calibration fields meeting interference calibration conditions; and S4, performing backscattering coefficient calculation on the plurality of first comprehensive calibration fields, and selecting at least one second comprehensive calibration field meeting the condition of each satellite on the signal-to-clutter ratio of the field from the plurality of first comprehensive calibration fields according to a backscattering coefficient calculation result. The invention further provides an efficient site selection device for the SAR comprehensive calibration field shared by multiple satellites.

The invention discloses a site selection method and device for a commercial complex, electronic equipment and a storage medium, and the method comprises the steps: obtaining at least one evaluation index of each candidate region for each candidate region in at least one candidate region; according to a preset classification rule, constructing an index system corresponding to each evaluation index to obtain at least one index system; for each index system in the at least one index system, determining the weight of each sub-index in each index system according to each index system; performing weighted summation on at least one sub-index in each index system according to the weight of each sub-index in each index system to obtain at least one comprehensive evaluation score; and according to the at least one comprehensive evaluation score, determining a final site selection in the at least one candidate area, wherein the comprehensive evaluation score corresponding to the final site selection is larger than or equal to a preset threshold value.

The invention discloses a site selection method and device for a relay station, electronic equipment and a storage medium. The method comprises the following steps: determining the number of relay stations between two stations and the initial deployment position of each relay station according to the station spacing between the two stations and a rail route map; determining an environment where the initial position of each relay station is located based on the initial position deployed by each relay station and the live-action map; and determining a target position deployed by each relay station according to the initial position of each relay station and the corresponding environment.

The invention provides a site selection method and device for a business operation site, electronic equipment and a storage medium. The method comprises the steps of obtaining candidate operation positions and operation levels of a to-be-operated site, and corresponding first feature matrixes under different influence factors; obtaining at least one place class cluster set under each influence factor under the operation level, a second feature matrix of a central place in the place class cluster set, and a position evaluation value of the place class cluster set; determining the position similarity between the to-be-operated site and the central site; determining a position score value of the place to be operated based on the position similarity, the position evaluation value and a predetermined position score weight of each influence factor; and according to the position score value of the to-be-operated place, determining whether the candidate operation position is a target operation position of the to-be-operated place. Therefore, the candidate positions of the to-be-operated sites are evaluated based on the information of the existing operated sites, so that the site selection accuracy and the site selection efficiency can be improved.

The invention discloses an investment attraction building site selection system and method based on a recursive algorithm. The system comprises a database module, data coarse screening modules and a building site selection module. The database module is used for collecting house resource information; the first data coarse screening unit is used for presetting a first screening condition, receivingthe house resource information and acquiring the first house resource information according to the first screening condition; the second data coarse screening unit is used for presetting a second screening condition, receiving the first house resource information and acquiring second house resource information according to the second screening condition; the site selection resource pool unit is used for presetting a site selection condition, receiving second house resource information and obtaining a resource pool according to the site selection condition, and the house resource information in the single room site selection resource pool is target house resource information; and the recursion calculation unit is used for receiving the resource pool, and performing recursion calculation onthe different-building site selection resource pool, the same-building site selection resource pool and the same-floor site selection resource pool to obtain target house resource information. Different-building, same-building, same-floor and single-room query modes are added according to requirements, and the query modes are enriched.

The invention discloses a quotient address recommendation system and method based on multi-dimensional aggregated traffic analysis user demands. The system comprises an operator SP, a merchant BS, a mobile phone traffic aggregator MA and a mobile phone user User. Supposing that the statistical range is divided into m areas, each area allows n mobile phone users at most, and the data of each user is one-dimensional, namely one mobile phone application; only one operator SP is provided and is a safe third party; the mobile phone traffic aggregator MA is used for collecting and aggregating traffic data of one mobile phone application of all regional users in real time and then sending the aggregated traffic to the operator SP; and the operator SP decrypts the aggregated traffic and then stores the aggregated traffic in different types of application databases; the merchant BS as an inquirer sends a new facility site selection query request to the operator SP, and the operator SP recommends a site selection area conforming to the merchant application type according to the new facility type of the merchant. According to the invention, the privacy information of the user is not leaked while the site selection range is recommended to the merchant, and the security of the user information is ensured.

The invention discloses a warehouse visualization method, device and equipment and a storage medium, and the method comprises the steps: collecting the multi-dimensional space-time information of a candidate warehouse and a plurality of reference objects, and generating a warehouse comparison view according to the multi-dimensional space-time information; outputting a warehouse comparison result based on the warehouse comparison view, and screening out an interested warehouse based on the comparison result and a screening condition; determining a multi-dimensional site selection considerationindex of the warehouse of interest according to the multi-dimensional space-time information of the warehouse of interest and the plurality of reference objects, and generating a visual analysis graphof the warehouse of interest based on the multi-dimensional site selection consideration index. Therefore, the warehouse visualization analysis graph is obtained based on the multi-dimensional space-time information of the warehouse and the reference object, and the warehouse comparison analysis efficiency and the warehouse site selection efficiency can be improved by providing the multi-dimensional warehouse visualization analysis graph.