31 results about "Location planning" patented technology

The invention discloses an unmanned aerial vehicle-based distribution network uninterruptible operation site investigation method and system, and the method comprises the steps: respectively calculating the distance cost of a vehicle moving to an operation point, the key equipment association risk and a road traffic efficiency factor according to a topographic feature index TFI, a power grid association degree GCR and a road traffic index RPI; according to a preset dynamic weight distribution rule, weight distribution is carried out on the operation point distance cost, the key equipment association risk and the road traffic efficiency factor; based on a preset constraint condition, taking the operation point distance cost after the weight distribution, the key equipment association risk after the weight distribution and the road traffic efficiency factor after the weight distribution as objective functions to construct an operation vehicle position planning optimization model, and solving the operation vehicle position planning optimization model. And obtaining an operation scheme of the operation vehicle. The rapid and reasonable planning of the position of the operation vehicle is realized, and the power-off-free operation efficiency and safety of the distribution network are improved.

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.

The present invention relates to the technical field of tent pitching location planning based on drones, and discloses a method, apparatus, device, and storage medium for outdoor tent pitching location planning. Based on the target user's daily outdoor activity start time and outdoor activity end time limit, and taking into account a fixed trajectory point planning reference set geographic parameter feature set and a target user's movement speed and path feature mapping comparison table, a detection drone is driven to perform a location planning cruise of several outdoor tent pitching locations between two adjacent first outdoor activity planning trajectory points in an initial outdoor activity planning path, ultimately obtaining a final outdoor activity planning path that includes several first outdoor activity planning trajectory points and several second outdoor activity planning trajectory points as outdoor tent pitching locations. Thus, while improving the tent pitching condition compliance of the tent pitching locations, the path sections and activity times of daily outdoor activities are planned as reasonably as possible.

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 present application discloses a method, device, equipment, and storage medium for stacking location planning for container unloading. The method includes: clustering containers by type for the first time to obtain a set of containers of different types as a first set; clustering each first set for the second time according to the size and transportation time of the containers to obtain a second set; calculating the sum of the distances from the unloading position of each container in the second set to the stacking location for each container unloading, and constructing a distance matrix as a matrix element; constructing several auxiliary matrices; multiplying the distance matrix with each auxiliary matrix to obtain a corresponding target matrix, and calculating the sum of each element in the target matrix to obtain the path length under different combinations; determining the target matrix corresponding to the shortest path length as the optimal target matrix, and determining the stacking location planning for container unloading based on the auxiliary matrix corresponding to the optimal target matrix. In this way, the unloading efficiency can be improved.

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.

The invention discloses a public service facility site selection planning method and device, equipment, a medium and a product, and the method comprises the steps: obtaining multi-source spatio-temporal data of a target public service facility, and carrying out the preprocessing of the multi-source spatio-temporal data, and obtaining related multi-source data; determining site selection related factors according to the related multi-source data; eliminating invalid site selection related factors by adopting a geographic detector model to obtain final site selection related factors and calculating weight values of the final site selection related factors; pearson correlation analysis is adopted to determine that the final site selection correlation factors are positive / negative correlation, and objective weight values of the final site selection correlation factors are calculated; and calculating a site selection result of the target public service facility according to the final site selection related factors and the corresponding objective weight values. According to the method, the site selection result of the public service facility can be evaluated based on the multi-source spatio-temporal data of the public service facility in combination with the Pearson correlation analysis and geographic detector model, and a scientific basis is provided for site selection layout planning of the public service facility.

This invention discloses a game theory-based method for optimizing the location of electric vehicle charging stations, relating to the field of electric vehicle charging station location technology. The method includes the following steps: randomly placing charging station nodes and recording the initial coordinates of all nodes; constructing a game theory model for the electric vehicle charging station; calculating the utility function values ​​corresponding to all strategies for each charging station node in the current iteration, identifying the strategy corresponding to the maximum utility, and updating the node coordinate set; ending the iteration when a Nash equilibrium is reached or the maximum number of iterations is reached; and applying the obtained optimal Nash equilibrium solution to the location planning of the electric vehicle charging station to achieve a balance between the total cost and coverage of the charging station. This invention can provide the optimal location for electric vehicle charging stations, improving coverage and reducing costs.

The invention discloses an ammeter collector installation position evaluation method and system, and relates to the technical field of electric power Internet of Things data acquisition management, and the method comprises the steps: collecting the multi-source environment data of an installation region, constructing a candidate installation position model, and screening installation conditions; for the candidate installation positions, calling a multi-factor inference rule to output candidate position suitability scores; and on the basis of the candidate position suitability score, according to the scene weight adjustment rule and the index weight, outputting a comprehensive evaluation score of the candidate position. According to the method, the multi-source environment data of the installation area is collected, the candidate installation position model is constructed, the multi-factor inference rule and scene weight dynamic optimization are combined, the comprehensive adaptability of the candidate positions is scientifically evaluated, the scientificity and fineness of installation position planning can be effectively improved, the communication performance is optimized, the electromagnetic interference risk is reduced, and the reliability of installation position planning is improved. And the maintenance convenience and controllability are enhanced, the capability of adapting to a complex environment is stronger, and the overall operation quality and reliability of an ammeter acquisition system are improved.

The invention discloses an optimization method for overall planning of a space situation awareness station, and the method comprises a target simulation subsystem, an awareness node simulation subsystem, an efficiency evaluation subsystem, and a parallel optimization subsystem. Wherein the parallel optimization subsystem calls a plurality of computing nodes to search a space situation awareness station position planning scheme with high observation efficiency and low expenditure demand in a solution space, and through a multi-thread parallel heuristic optimization algorithm, the search speed and the optimization efficiency are improved, and the space situation awareness station position planning scheme is optimized. The space situation awareness system planning is efficiently and quickly realized under the condition of considering factors such as space target observation quantity, cataloguing and orbit determination efficiency and total expenditure overhead.

The present invention relates to the field of multi-UAV relay communications, and more specifically, to a method for planning UAV communication relay locations based on online self-optimization. The method includes narrowing the search area and establishing a visibility model for relay UAVs. A UAV is added between the UAVs and a ground control terminal, acting as a communication relay to maintain communication transmission between the two. Data is collected and pre-processed on an offline map, and the large amount of data is compressed. The relay UAV then autonomously searches for a location with line of sight based on the visibility. This method addresses the problem of signal loss between UAVs and the ground control terminal due to mountain obstruction when flying at low altitude in complex mountainous areas. The narrowing of the search area significantly reduces the algorithm runtime for a single iteration cycle, and the establishment of a visibility model enables the relay UAV to find a location with line of sight within a limited number of iterations, further improving algorithm efficiency. Applying this method to multi-UAV relay communications ensures communication transmission during low-altitude flight in complex mountainous areas.

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.

The invention discloses a self-adaptive loading position planning method and device, a storage medium and equipment. The self-adaptive loading position planning method comprises the steps that set initial loading position data and topographic data of a loading area at the current sampling moment are acquired; according to the obtained initial loading position data and the topographic data of the loading area at the current sampling moment, obtaining a plurality of candidate loading positions meeting operation conditions; obtaining an optimal loading position from a plurality of candidate loading positions meeting operation conditions according to the obtained topographic data of the loading area at the current sampling moment and an access path planning requirement; and in response to the difference between the topographic data of the loading area at the next sampling moment and the topographic data of the loading area at the current sampling moment, updating the optimal loading position. The invention can shorten the time spent on setting the loading position of the loading equipment and improve the working efficiency.

The present invention discloses a multi-candidate location SNOP planning method and system based on an improved JAYA algorithm. The method includes: obtaining a plurality of historical data samples of the operation of the distribution network, clustering the plurality of historical data samples to generate a typical day source-load scenario; establishing distribution network operation risk assessment indicators and constructing a two-layer optimization model for SNOP configuration; solving the two-layer optimization model for SNOP configuration by using the improved JAYA algorithm based on the typical day source-load scenario and the distribution network operation risk assessment indicators to obtain the optimal SNOP configuration result. The present invention can output the optimal SNOP planning configuration result, thereby facilitating the improvement of the operation safety and economy of the distribution network.

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 invention relates to the field of power supply, and discloses a new energy optimal location planning method. The method comprises the following steps: for each photovoltaic partition, obtaining a load increment, a new energy increment and a new energy increment upper limit in a planning time period; based on the relationship between the output change of each photovoltaic partition and the river-crossing channel power flow change, establishing the relationship between the source, network, load and new energy planning factors and the power flow through the output power transfer distribution factor of the generator, and establishing an objective function of a new energy distribution optimal model. And determining constraint conditions of the new energy distribution optimal model based on the load increment, the new energy increment and the new energy increment upper limit. And on the basis of the constraint condition, solving the target function, obtaining the optimal increment of the new energy of each photovoltaic partition, obtaining the optimal scheme of the new energy distribution of the source network load, and enabling the sum of the river-crossing channel power flow to be minimum. Through the method, the problems of single consideration factor, model staticization, improper constraint processing and low calculation efficiency in the prior art can be solved, the optimal location selection problem of the newly added new energy capacity is solved, the power flow increment of the key river-crossing channel is minimized, and the power grid load distribution is balanced.

The invention discloses a storage location planning method, and the method comprises the steps: obtaining the amount of goods in a warehouse on that day, predicting the predicted amount of goods in future time, determining the amount of goods for storage location planning according to the amount of goods in the warehouse on that day and the predicted amount of goods in future time, and determining the amount of goods for storage location planning when the future time is closer to that day. The goods quantity in the warehouse in the same day is the goods quantity for determining the storage location planning and the goods quantity in the future is the goods quantity for determining the storage location planning and the goods quantity in the future is the goods quantity for determining the storage location planning and the goods quantity for determining the storage location planning and the goods quantity for determining the storage location planning are more accurately determined. And then, an objective function with the minimum storage location remaining width in the goods storage locations is determined, and the storage location width capable of guaranteeing the minimum objective function is determined, so that the storage location utilization rate is increased, and the storage location accuracy is guaranteed.

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]

The invention provides an indoor path dynamic planning method and system, and relates to the technical field of path planning, and the method comprises the steps: obtaining a real-time position and a target position of an indoor environment user, and an accumulated path of the user, and extracting accumulated indoor elements in the accumulated path; according to the real-time position and the target position, planning to obtain a plurality of indoor paths, and extracting indoor elements in the plurality of indoor paths to obtain a plurality of indoor element sets; the association degree of the multiple indoor element sets and the accumulated indoor elements is analyzed, and multiple element association degrees are obtained; and acquiring a plurality of congestion parameters of the plurality of indoor paths, configuring congestion weights and element weights according to historical moving paths of the user, calculating to obtain a plurality of path scores by combining a plurality of element association degrees, and screening to obtain an optimized indoor path as a path planning result. The technical problem that in the prior art, a static path planning method cannot provide personalized path planning for a user is solved.

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 embodiment of the invention discloses a stacking position planning method and device for container unloading, equipment and a storage medium, and the method comprises the steps: carrying out the first clustering of containers according to types, and obtaining different types of container sets as a first set; for each first set, carrying out second clustering according to the size of the container and the carrying time to obtain a second set; calculating the sum of the distances from the unloading position of each container to the stacking position in the second set according to the unloading stacking position of each container, and taking the sum as a matrix element to construct a distance matrix; constructing a plurality of auxiliary matrixes; multiplying the distance matrix by each auxiliary matrix to obtain a corresponding target matrix, and calculating the sum of each element in the target matrix to obtain path lengths under different combinations; and determining a target matrix corresponding to the shortest path length as an optimal target matrix, and determining a stacking position plan of container unloading based on an auxiliary matrix corresponding to the optimal target matrix. Therefore, the unloading efficiency can be improved.

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.

The invention provides an infrastructure site selection decision-making system and method based on territorial space planning, and relates to the technical field of space planning, and the system comprises a relation mining module which is used for mining territorial space elements and traffic elements, carrying out the bidirectional correspondence, and constructing a space-traffic interactive coupling relation; the relation decoupling module is used for decoupling the interactive coupling relation condition by condition and determining a single-dimensional coupling relation; and the site selection planning module is used for constructing a composite reachability model according to the two-order planning logic, performing two-order decision and fusion calibration based on a one-dimensional coupling relationship in parallel by taking the whole domain of the pre-planning space as a range, and determining a site selection planning strategy. The technical problems that in the prior art, due to the fact that a systematic space element and traffic element interactive analysis mechanism is lacked, site selection decision is one-sided, and traffic convenience and space sustainability are difficult to consider at the same time are solved, and the technical effect of improving the site selection accuracy and the performability of the infrastructure is achieved.