16 results about "Location planning" patented technology

The invention discloses a site planning method, which comprises the steps of performing multi-source data fusion to form a planning data basis; based on the planning data basis, determining a raw material field material storage rule and a material supply relation between a material supply point and a production line; integrating the raw material field material storage rule and the material supply relation between the material supply point and the production line so as to construct a raw material field position planning analysis system; based on the raw material field position planning analysis system, executing a material storage planning algorithm, and performing system optimization through rule definition under constraint conditions of the raw material field position planning analysis system to obtain an optimization result; and generating a site storage planning scheme according to the optimization result and the material planning. The characteristics of short batching period, high-frequency material change, multiple transportation paths, multiple feeding points and the like are comprehensively integrated, scientific planning of the raw material field is achieved, the planning efficiency, the material circulation rate and the field utilization rate are improved, and the production and operation cost of iron and steel enterprises is reduced.

Title: Vehicle UWB Location Planning A planning method implemented by a vehicle UWB system (hereafter referred to as the planning method) is proposed. The UWB system includes one or more UWB sensors. The UWB system has stored a plurality of wearable identifiers. The plurality of wearable identifiers includes a remote key fob (100). The method includes a reception S10, for each wearable identifier, of a respective programming of UWB locations with the vehicle UWB system. The method includes a detection S20 of an overlap between at least two programmed UWB locations. The at least two overlapping UWB locations include a UWB location with the key fob. The method includes an offset S30, in the respective programming of the key fob, of the overlapping UWB location. The method offers improved use of the vehicle UWB system [Fig. 2]

The application provides a positioning device position planning method and device, electronic equipment and medium, the method comprises: acquiring indoor three-dimensional map and wireless signal data, acquiring environment feature data according to the indoor three-dimensional map, inputting the environment feature data and the wireless signal data into the trained positioning device position prediction model for processing, outputting the initial positioning device position, calculating the signal coverage intensity, the positioning device uniformity and the positioning device deployment cost in the indoor three-dimensional map according to the initial positioning device position, and then calculating the positioning device fitness, adjusting the initial positioning device position according to the positioning device fitness, and obtaining the target positioning device position. The application utilizes accurate three-dimensional map data and positioning device position prediction model to realize automatic planning of the positioning device position, can obtain the best positioning device arrangement scheme through optimization, and ensures the comprehensiveness and uniformity of the positioning signal coverage.

The blind path positioning method and device based on high-precision GNSS positioning and MAP message of the application relate to the technical field of guide dog devices. The method comprises: acquiring a first position of a first user based on high-precision GNSS positioning, including latitude and longitude coordinates; receiving and decoding a V2X map MAP message broadcast by a roadside device to acquire data items of all first roads within a preset distance of the first position; traversing latitude and longitude coordinates of each adjacent two points of all first road point sequence data items of the first roads; converting the latitude and longitude coordinates into rectangular coordinate system coordinates; calculating the perpendicular distance between the first position and all the first roads and determining the shortest perpendicular distance; and generating a guide planning path of the first road corresponding to the shortest perpendicular distance from the first position. The application is based on high-precision GNSS positioning and MAP message, locates the position of the blind path closest to the blind person, plans the most convenient and safe guide path, and realizes efficient and safe travel of the blind person.

This invention discloses a method for selecting and planning electric vehicle charging facilities based on multi-source data. First, a user optimal choice model is constructed. Based on this model, a set of optimal user choices is obtained, which is then used as initial parameters to solve the electric vehicle charging facility location model. This set includes a set of optimal search results and a set of driver optimal addresses. Next, an electric vehicle charging facility location model is constructed. Based on the set of optimal search results and the driver optimal address set, the model is solved, leading to a charging facility planning scheme. This scheme includes adjustments to the number of charging piles in current charging facilities and future charging facility location planning. This invention can provide a scientific number of charging piles for candidate sites without existing charging facilities and solve the problem of resource waste caused by excess charging piles for candidate power stations with existing charging facilities.

The invention provides an unmanned aerial vehicle nest position planning method and system based on a communication iron tower and a medium, and relates to the field of unmanned aerial vehicles, in the method, existing infrastructure resources are integrated by constructing a comprehensive database, site selection planning is carried out based on multi-objective optimization and an adaptive genetic algorithm, and dynamic adjustment and optimization are carried out in combination with three-dimensional simulation verification. According to the method, system integration and optimal utilization of urban infrastructure resources are realized, the nest deployment cost is reduced, and the scientificity and feasibility of a site selection scheme are improved; meanwhile, through multi-objective optimization and simulation verification, the coverage efficiency and the operation reliability of the unmanned aerial vehicle nest network are ensured, and reliable infrastructure support is provided for urban unmanned aerial vehicle application.

Title: Location Planning with Periodicity Consideration. A planning method implemented by a vehicle UWB system is proposed. The UWB system has stored a plurality of portable identifiers. Each portable identifier is configured to perform periodic UWB location sessions with the UWB system at a respective periodicity. The method includes a reception S10, for each portable identifier, of a respective programmed UWB location. The method includes a detection S20 of an overlay of UWB locations programmed with at least two portable identifiers. The method includes a determination S30 of a priority identifier. The priority identifier determined is the one with the longest periodicity. The method includes a deprogramming S40 of each UWB location included in the overlay other than the UWB location with the portable identifier determined as priority.The process offers improved utilization of the vehicle's UWB system. [Fig. 2].

The system according to the embodiment aims to analyze big data and identify the optimal location for opening a store. [Solution] A system according to an embodiment includes a collection unit, an analysis unit, an identification unit, and a planning unit. The collection unit collects big data. The analysis unit analyzes the data collected by the collection unit. The identification unit identifies the optimal store location based on the analysis results obtained by the analysis unit. The planning unit formulates a store opening plan based on the store location identified by the identification unit.

A robot location planning method and apparatus based on reinforcement learning. The location planning method comprises: performing, by means of a preset positioning pen module, digital description on the location, shape and posture information of an object to be manipulated by means of a robot, so as to obtain digital object data; by using the digital object data as an input to a deep neural network of a simulation platform corresponding to the robot, and using, as an output, a manipulation location at which the robot controls the object, performing training to obtain an initial location planning model of the robot; on the basis of an application scenario of the object, selecting a corresponding observation space and task return logic to perform scenario optimization on the initial location planning model, so as to obtain a robot location planning model; and on the basis of the robot location planning model, predicting the digital object data of the object to be manipulated, so as to obtain a target location at which the robot manipulates the object to be manipulated. Therefore, on the basis of a trained robot location planning model, the robot planning accuracy meets the requirements of various industrial scenarios, and the workload involved in manual operations is greatly reduced.

Title: Location Planning with Dynamic Priority Adjustment A planning method implemented by a vehicle UWB system is proposed. The system is configured to record an associated priority score for each wearable identifier. The method includes receiving, for each wearable identifier, a respective UWB location program from the system. The method includes detecting at least one overlap between programmed UWB locations.The method comprises, for each detected overlay, determining a priority identifier, the priority identifier having the highest priority score, deprogramming each UWB location included in the overlay other than the UWB location with the handheld identifier determined as priority, and, for each deprogrammed UWB location, increasing the priority score of the handheld identifier involved in the deprogrammed UWB location. The method provides improved utilization of the vehicle's UWB system. [Fig. 2]

This disclosure relates to the field of computer technology and provides a picking location planning method, a picking location planning device, a computer-readable storage medium, and an electronic device. The picking location planning method includes: constructing a total picking cost function for the order based on the picking decision variables and picking costs corresponding to each location; constructing an initial problem model based on the total picking cost function of the order combined with a first demand constraint associated with each target item category; transforming the initial problem model to obtain K knapsack problem models corresponding to the K target item categories; solving each knapsack problem model using a dynamic programming algorithm to obtain each initial non-picking location set corresponding to each target item category; and determining the picking location set corresponding to each target item category based on the K initial non-picking location sets. This disclosure enables faster acquisition of optimal picking locations.

The application provides a distributed photovoltaic power station position planning method and system, which comprises the following steps: controlling a UAV to move to a preset height, taking an aerial view, circumscribing a region to be planned, and determining a first region and a second region; controlling the UAV to scan from top to bottom in the preset region and towards the second region, judging whether the region to be planned has an inclined surface; if yes, marking the region belonging to the inclined surface, and determining the effective use region of the region corresponding to the inclined surface respectively, calculating the actual area of each effective use region and the total effective use actual area; obtaining the electric appliance energy consumption in the second region, determining the photovoltaic panel installation area according to the electric appliance energy consumption; judging whether the photovoltaic panel installation area is less than the total effective use actual area; if yes, arranging the photovoltaic panel according to the size of a single photovoltaic panel and the total effective use actual area, and pushing the arrangement result to the user, so as to assist the user in planning the position of the distributed photovoltaic power station and reduce the burden of the user.

Title: Vehicle UWB Location Planning A planning method implemented by a vehicle UWB system (hereafter referred to as the planning method) is proposed. The UWB system includes one or more UWB sensors. The UWB system has stored a plurality of wearable identifiers. The plurality of wearable identifiers includes a remote key fob. The method includes a reception S10, for each wearable identifier, of a respective programming of UWB locations with the vehicle UWB system. The method includes a detection S20 of an overlap between at least two programmed UWB locations. The at least two overlapping UWB locations include a UWB location with the key fob. The method includes an offset S30, in the respective programming of the key fob, of the overlapping UWB location. The method offers improved use of the vehicle UWB system [Fig. 2]

This invention discloses a method and system for on-site surveying of uninterrupted power distribution network operations based on unmanned aerial vehicles (UAVs). The method includes: calculating the distance cost of vehicle movement to the work site, the associated risk of critical equipment, and the road traffic efficiency factor based on the Terrain Feature Index (TFI), the Power Grid Correlation Index (GCR), and the Road Traffic Index (RPI); allocating weights to the distance cost of the work site, the associated risk of critical equipment, and the road traffic efficiency factor according to a preset dynamic weight allocation rule; constructing an optimization model for the location planning of the work vehicle based on preset constraints, using the weighted distance cost of the work site, the weighted associated risk of critical equipment, and the weighted road traffic efficiency factor as objective functions; and solving the optimization model to obtain the work plan for the work vehicle. This method enables rapid and reasonable planning of the work vehicle's location, improving the efficiency and safety of uninterrupted power distribution network operations.

The application discloses an intelligent warehouse location planning optimization method based on a hybrid particle swarm algorithm, which comprises the following steps: step 1, establishing a warehouse space model based on Manhattan distance and designing an overall fitness function; step 2, establishing an in-out warehouse frequency prediction model based on a long short-term memory network; step 3, performing random disturbance and stretching processing on the prediction result of the in-out warehouse frequency prediction model to expand the frequency distribution range; step 4, based on the particle swarm algorithm, realizing dynamic search and convergence balance of the location optimization by adaptively adjusting the inertia weight; step 5, based on the genetic algorithm, introducing crossover and mutation operations in the particle updating process to enhance the diversity of the location distribution; and step 6, based on the simulated annealing algorithm, introducing a temperature parameter and a poor solution acceptance mechanism to jump out of a local optimal solution and improve the global location optimization capability. The application effectively reduces the material flow path length and time consumption and significantly improves the operation efficiency and management capability of the intelligent warehouse system.

This invention discloses a method and system for evaluating the installation location of electricity meter collectors, relating to the field of power Internet of Things (IoT) data acquisition and management technology. The method includes collecting multi-source environmental data of the installation area, constructing a candidate installation location model to screen installation conditions; for each candidate installation location, using multi-factor inference rules to output a candidate location suitability score; and based on the candidate location suitability score, adjusting rules and indicator weights according to scenario weights to output a comprehensive evaluation score for the candidate location. This method, by collecting multi-source environmental data of the installation area, constructing a candidate installation location model, and dynamically optimizing it using multi-factor inference rules and scenario weights, scientifically evaluates the comprehensive suitability of candidate locations. This effectively improves the scientific rigor and precision of installation location planning, optimizes communication performance, reduces electromagnetic interference risks, enhances maintenance convenience and controllability, strengthens adaptability to complex environments, and improves the overall operational quality and reliability of the electricity meter acquisition system.