7 results about "Mobile search" patented technology

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.

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 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.