19 results about "Mobile search" patented technology

The invention belongs to the field of unmanned aerial vehicle mobile search, and particularly relates to an optimal search method under an unmanned aerial vehicle SAR (synthetic aperture radar) grid scene, which comprises the following steps: constructing an SAR unmanned aerial vehicle search system model; constructing a search target function of maximizing the residual resources and the number of searched people according to the recognized people number constraint, the search region area constraint and the unmanned aerial vehicle resource constraint; solving the residual resource minimization and search number maximization search objective function by using a deep reinforcement learning method to obtain an optimal search path; the system optimizes the deflection angle and the moving distance of the unmanned aerial vehicle in the search model in real time according to the optimal search path scheme; and detecting the finally generated path area by using a target detection algorithm to identify trapped persons, and optimizing the search efficiency of the search model. According to the method, the optimal search path of the unmanned aerial vehicle under the condition of minimum resource consumption in the search scene can be reflected, meanwhile, human eye recognition is replaced by the recognition algorithm, manpower is liberated, and the search efficiency is improved.

The invention relates to the technical field of public traffic accessibility evaluation, and discloses a virtual rail transit accessibility evaluation method based on a fuzzy function and a Haff model, which comprises the following steps: acquiring latitude and longitude data and line data of a virtual rail transit station, urban road network data and population raster data; converting the population grid data into point data, taking the population weighted centroid of each grid as a demand point position, taking a virtual rail transit station as a supply point position, and determining the supply capability of the supply point; and calculating the spatial accessibility of the supply point corresponding to the demand point by adopting a two-step mobile search method based on a fuzzy function and a Hough model. The rationality and comprehensiveness of the public transport accessibility evaluation method can be improved.

The invention discloses an autonomous search method in combination with semantics in a large-scale unknown environment and related equipment, and relates to the technical field of automatic control, the method comprises the following steps: constructing a semantic octree comprising aligned point cloud data and semantic tags of objects in a panorama based on a Bayesian probability method; analyzing the panorama by using a Gaussian mixture model to determine the probability of the target position, and constructing a multi-layer task probability graph according to the probability of the target position; obtaining task description and judging whether the search task corresponding to the task description is a repeated task or not; if not, determining a search direction by utilizing a large language model according to the task description and the panorama, and further determining a local target point; if yes, determining a search direction according to a semantic octree and a multi-layer task probability graph, and further determining a local target point; generating a search path of a local target point, and optimizing a track of the search path according to a semantic octree and a multilayer task probability graph; and controlling the robot to move and search according to the trajectory. The real-time performance and the efficiency can be improved.

The present invention discloses a heterogeneous unmanned cluster collaborative search method based on emergence, including: dividing a task area into multiple grid units; constructing the target existence probability of the grid unit and its update mechanism; constructing the digital pheromone of all grid units corresponding to the heterogeneous unmanned cluster and its update mechanism; setting the interaction rules between the cluster monomer and its neighboring same cluster monomers; setting the interaction rules between the cluster monomer and the environment; setting the interaction rules between the cluster monomer and the heterogeneous unmanned cluster; according to the interaction between the cluster monomer and its neighboring same cluster monomer, the interaction between the cluster monomer and the environment, and the interaction between the cluster monomer and the heterogeneous unmanned cluster, the movement direction and speed of the cluster monomer are calculated, and the cluster monomer is controlled to perform mobile search. The present invention can realize complementary collaborative search of heterogeneous unmanned clusters, realize efficient full coverage search of the task area, and improve the efficiency of collaborative target search of heterogeneous unmanned clusters.

The invention belongs to the technical field of load identification and analysis, and particularly relates to an effective extraction method, program and equipment for a peak value and a period of an ice load of a ship structure and a storage medium. According to the method, on the basis of mobile retrieval and local judgment thoughts, the valley value decline factor is introduced, multiple judgment is carried out on the position relation between two adjacent peak values and the valley value between the two adjacent peak values, and the refinement degree of extraction of characteristic parameters such as the ice force peak value event, the corresponding ice load peak value and the period can be remarkably improved. According to the method, a peak value interval factor is introduced before peak value extraction, and interference of signal burrs on the extraction process can be effectively eliminated by judging the relation between the time interval of two adjacent peak values and the data sampling period; threshold value screening is carried out after peak value extraction, and convenience can be provided for accurate calculation and synchronous extraction of the ice load period. The method is novel in form and high in subsequent expansibility, and can be used as a novel, efficient and reliable ship structure ice load peak value and period extraction tool.

The invention relates to the field of path planning, and provides a hybrid positioning method for a moving object in massive ordered coordinate points, which comprises the following steps: acquiring an electronic map, acquiring navigation point information from the electronic map, and grouping the navigation point information to obtain grouped navigation points; determining a navigation target, obtaining a first navigation point relative distance between the navigation target and the first navigation point of the grouped navigation points, and obtaining an optimal group; performing grouping optimal point search for multiple times in the optimal group to obtain an optimal point search result, and performing traversal search to obtain a nearest navigation point; the navigation target moves according to the nearest navigation point and searches in the mobile search window to obtain a future nearest point; the navigation target moves according to the future nearest point and obtains motion parameters of the navigation target, the future position is calculated through the motion parameters, the future position and the future nearest point are compared, the moving state of the navigation target is determined, the track of the navigation target is corrected, and positioning and control over the navigation target are completed.

This invention discloses a site selection and capacity optimization method for electric vehicle charging stations that considers user charging accessibility, belonging to the field of electric vehicle charging infrastructure planning technology. The method includes constructing a dynamic traffic network considering road impedance, planning the shortest path using an improved Dijkstra algorithm, predicting the spatiotemporal distribution of charging demand using Latin hypercube sampling and Monte Carlo simulation, innovatively proposing an electric vehicle user charging accessibility index based on a Gaussian two-step moving search method to quantify the matching degree between charging station layout and demand, establishing a dual-objective optimization model with the goals of minimizing annual comprehensive cost and maximizing charging accessibility, and solving for the Pareto optimal solution set using the NSGA-II algorithm, and finally ranking the candidate schemes using the entropy weight method and the TOPSIS method to determine the optimal scheme. This invention balances the economic benefits for operators and the convenience for users, achieving precise allocation of charging resources and providing a scientific basis for urban charging facility planning.

The application discloses a method and system for evaluating the accessibility of service facilities in urban and rural community life circles. First, high-precision road networks, residential plots, four types of public service facilities, and population statistics data are obtained. A walking travel impedance map containing traffic obstacles is constructed based on the road network. The single accessibility index is calculated using an improved two-step mobile search method. The facility weight is determined by the analytic hierarchy process, and the comprehensive accessibility index is obtained. The accessibility is spatially superimposed with population density and aging degree to identify the short-board area of facility configuration. The comprehensive accessibility, population size, and aging degree are used to calculate the rectification priority, and a hierarchical rectification priority map is generated. The application fully considers the walking traffic obstacles, facility service capacity, and distance attenuation, and quantitatively evaluates the actual situation. The short board can be accurately identified, and the rectification priority is given. The application provides efficient and reliable data support and intelligent decision-making basis for the layout optimization of public service facilities in urban and rural community life circles.

The invention belongs to the technical field of medical resources, and discloses a medical resource accessibility evaluation and layout optimization system, which comprises a medical resource accessibility calculation module, a medical service aggregation evaluation module, a main control module and a medical resource spatial layout optimization module, the invention provides an improved reachability calculation model, namely a space syntax-Gaussian two-step mobile search method (SS-Ga2SFCA), the space syntax model and the Gaussian two-step mobile search method are fused, and the reachability of medical resources in the Uruwood city is evaluated by considering the competitive effect of a supply side and a demand side. In the improved model, the spatial syntax can utilize spatial structure information to guide search and help to better utilize spatial correlation, and the Gaussian two-step mobile search method can flexibly move in the space, so that the combination of the spatial syntax and the Gaussian two-step mobile search method is more perfect.

The invention discloses a spatial reachability factor analysis method and system based on a two-step mobile search method, and the method comprises the steps: building a comprehensive evaluation index model based on a Shannon diversity index and a multi-source index deviation; determining influence factors to be analyzed through a gravity type two-step mobile search model; obtaining a comprehensive evaluation index based on the comprehensive evaluation index model, and determining an optimal combination of the influence factors to be analyzed through a response surface method in combination with the comprehensive evaluation index; and analyzing the sensitivity of the to-be-analyzed influence factors to obtain an analysis result. According to the method, the sensitivity of a plurality of influence factors in the gravity type two-step mobile search model is explored, the defects of advantages and disadvantages of a traditional qualitative evaluation reachability result and method can be overcome through the proposed comprehensive evaluation index model, and a brand new quantitative evaluation reference basis is provided for improving the gravity type two-step mobile search model.

The present invention discloses a method for selecting the location of an emergency medical site based on the urgency of the demand for emergency medical resources, comprising the following steps: respectively obtaining the real road distances between different areas and the emergency medical sites closest to them; using a two-step mobile search algorithm to respectively calculate the accessibility of different areas to obtain emergency medical resources, and selecting areas that cannot obtain emergency medical resources; calculating the urgency of the demand for the areas that cannot obtain emergency medical resources U k ; Genetic algorithms are used to comprehensively evaluate the location of emergency medical stations based on the urgency of the needs of areas without access to emergency medical resources and the number of areas without access to emergency medical resources that can be covered by emergency medical stations. The present invention improves the overall resource allocation efficiency, ensuring that the supply of emergency medical resources in remote areas will not be neglected even when population distribution and demand intensity change, thereby improving the overall public health and welfare level.

The present invention relates to a method, system, electronic device and medium for generating a random distribution of fibers, and particularly relates to the technical field of composite materials. The method includes taking the first fiber as the center, and repeatedly using the artificial fish swarm algorithm to generate an initial fiber cluster within the fiber generation window; moving a search box within the fiber generation window where the initial fiber cluster is generated, and when the fiber volume fraction within the search box after each movement is less than a preset volume fraction, then based on the hardcore model, scatter points within the search box after each movement to obtain new fibers until the search box finishes moving within the fiber generation window, and deleting the fibers within the fiber generation window according to the preset volume fraction to obtain the finally generated fibers. The present invention can effectively generate a random distribution structure of fibers and can solve the cluster problem.

A method includes receiving one or more search terms at a mobile computing device while the mobile computing device is located at a particular location. A search query that includes the one or more search terms and a location history of the mobile computing device is transmitted to a server. The method also includes receiving one or more search results in response to the search query, where the one or more search results include content identified based on a predicted destination of the mobile computing device. An interface identifying the one or more search results is displayed at the mobile computing device.

The invention discloses a two-step mobile search reachability calculation method fusing aspect-level sentiment analysis, and relates to the technical field of geographic information. According to the technical scheme, the method comprises the steps of obtaining public facility data, population data, traffic data and a public facility evaluation text of a user, and preprocessing the data; performing fine tuning on the general sentiment analysis model, constructing a domain-specific model, performing intelligent selection between the general model and the specific model through a dynamic confidence routing algorithm, and outputting a sentiment score; the service capability of the public facilities is evaluated by adopting a range standardization method and an information entropy method in combination with the scale and other attributes of the public facilities; and calculating the accessibility of the public facilities in combination with traffic network data and population space distribution multi-source data. The method has the beneficial effects that the limitation that traditional reachability analysis only depends on spatial distance and facility scale is broken through, subjective feeling of a user is brought into a quantitative evaluation system, organic fusion of objective indexes and subjective evaluation is realized, and a new analysis framework is provided for urban public service facility planning.

The application provides an improved two-step moving search method considering selection probability and variable radius, which combines the advantages of Huff model and variable radius 2SFCA. The distance attenuation between supply and demand, the service capacity of supply points, the selection probability of the population to the facilities and the variable search radius of supply and demand points are comprehensively considered. The travel time cost between supply and demand is obtained through the path planning interface of Gaode API, the selection probability of demand points to all supply points within the search radius range is calculated according to the Huff model, and the search radius of each demand point and supply point is dynamically determined, and the spatial accessibility of the public service facilities is calculated at the population grid scale and the street scale. Experiments show that the application can minimize the overestimation and underestimation of the accessibility, the spatial distribution result is more continuous and real, and the spatial accessibility of the urban public service facilities can be effectively measured.

The invention provides a two-step mobile search method-based reachability evaluation method for an old-age care meal assistance mechanism, and relates to the field of reachability evaluation. The method comprises the following steps: firstly, acquiring old-age care meal assistance mechanism and demand point information; secondly, taking the old-age care meal-assisting institutions as a center, taking a preset time threshold value as a search radius, searching all demand points in a range, introducing a Gaussian attenuation function, and calculating a supply-demand ratio of each old-age care meal-assisting institution; and finally, taking the demand point as a center, taking a time threshold value as a search radius, and summing the supply-demand ratios of all the old-age care meal-assisting institutions in a search range to obtain an old-age care meal-assisting institution reachability value of each demand point. According to the invention, the Gaussian 2SFCA is adopted to truly simulate the distance attenuation characteristics of the old in the actual travel process, and the travel time is used to replace the Euclidean distance between the old-age care meal assistance mechanism and the demand point as the travel cost, and the reachability evaluation is carried out on the old-age care meal assistance mechanism according to the facility grade. And the reachability value of the elderly going to the old-age care meal-assisting institution can be more accurately calculated.

The present invention relates to a method, device and equipment for site selection of a slow-moving traffic station based on multi-model coupling, and belongs to the technical field of site selection of traffic stations. The method, device and equipment loosely couple a two-step mobile search model, an immune optimization algorithm model, an investment allocation model and a single judgment model by means of multi-model coupling, thereby constructing a site selection model; by using comprehensive analysis technology by means of model coupling, the two-step mobile search model is improved, and spatial element site selection indicators are added by means of the model, and then the immune optimization algorithm site selection result is optimized with the help of the investment allocation model and the single judgment model; finally, by means of multi-model coupling, the problems of one-sided site selection and excessive scaling workload caused by too few or too many influencing factors are optimized, and a relatively reasonable site selection result can be obtained.

The invention discloses an ambulance locating and sizing method considering fairness. According to the method, ambulance stops can be optimally selected, and the number of ambulances parked at each stop is optimized on the basis of ambulance stop site selection. The method relates to three models, namely a multi-target optimization model of an emergency demand coverage maximization model, an ambulance reachable fairness maximization model based on a two-step mobile search method and an ambulance travel cost minimization model. Integrating a plurality of objective functions into a single objective function by utilizing a weight coefficient method, establishing a mixed integer nonlinear programming model, solving by utilizing a Gurobi solver, inputting the definition of the model, including variables, constraint conditions and the objective functions, and outputting the solution of the model, namely the value of the variables and the optimal value of the objective functions. And simultaneous decision-making of ambulance stop site selection and constant volume is realized. According to the method, the time and errors of manual judgment are reduced, and the scheduling efficiency and response speed of the ambulance are improved.

The invention discloses an intelligent physical evidence instrument and a physical evidence collection method. The intelligent physical evidence instrument comprises a cooperative physical evidence table, and a to-be-collected physical evidence is placed on the cooperative physical evidence table; the collaborative robot is integrated on the AGV intelligent trolley and moves to one side of the collaborative material evidence table through the AGV intelligent trolley; the material evidence collection assembly is integrated at the working end of a mechanical arm of the collaborative robot, and the material evidence collection assembly is based on a full-spectrum intelligent scanning camera and is used for photographing material evidences on the collaborative material evidence table; the system further comprises a control system. And the control system identifies the shot material evidence photo based on an internal algorithm so as to distinguish the class trace formed by the biological material evidence and the class trace formed by the non-biological reason. According to the physical evidence instrument, the cooperative robot is adopted to achieve all-dimensional dead-corner-free automatic intelligent mobile searching and photographing of different physical evidences through a preset operation program, manual intervention is not needed at all, and automatic searching, finding, photographing and imaging are achieved.