28 results about "Service coverage" patented technology

The present application belongs to the field of medical resource space layout optimization, and is a fever outpatient clinic space layout optimization method, comprising the following steps: S1, collecting and obtaining basic data and supplementing multi-source dynamic and constraint data; S2, preprocessing the data, eliminating invalid data and standardizing and unifying various types of data; S3, constructing a Thiessen polygon and performing medical preference coupling analysis, dividing the basic service range and correcting it, calculating the supply-demand ratio by time period and demarcating the dynamic pressure area; S4, setting up a multi-dimensional basic buffer zone and dynamically optimizing the accessibility, superimposing a multi-factor screening area to be selected; S5, forming a comprehensive optimization scheme through stock, increment and operation strategy; S6, after the scheme is verified by simulation, a monitoring feedback mechanism is established to realize dynamic optimization and adjustment.

The present application relates to the technical field of cluster communication, and proposes an intelligent fusion cluster group call method, steps of which include: configuring group members and member types thereof, wherein the member types at least include a cluster terminal, a dispatch station, and a non-cluster terminal, wherein the non-cluster terminal includes at least one of a traditional fixed phone, a mobile phone and a smart camera; a cluster core network performs corresponding media adaptation operation and right adaptation operation on different types of group members in a group call establishment process and a group call process according to the pre-configured member types, so that the non-cluster terminal can access and participate in the cluster group call service. The present application enables the public network terminal and the intelligent device originally not supporting the group call and the right operation to be integrated into the cluster communication process, expands the terminal compatibility and the service coverage range of the cluster system, and meanwhile maintains the necessary media control and right management characteristics in the cluster dispatch.

The application discloses a method and device for information sorting based on multi-dimensional data weighting and personalized model and a medium, belongs to the technical field of internet data processing, and comprises candidate information screening, basic comprehensive scoring, personalized preference modeling, recommended merchant screening, mixed insertion list generation and several steps. In the application, a service range is first determined based on the user position and the current time, and effective candidate merchants are screened out. After authorized operation data processing, a basic comprehensive score is calculated. A multi-dimensional preference model is constructed based on the user's full historical effective behavior, and the personalized preference score of the user for each merchant is obtained. After an initial sorting list is generated according to the basic score, high-matching-degree merchants are inserted into preset fixed positions to generate a final list. The application is matched with a new merchant supporting and user cold start adjustment mechanism, all rules are unified and disclosed, the user decision efficiency and consumption experience are improved, and the platform overall traffic distribution efficiency and conversion level are also improved.

The application discloses a pre-hospital care helicopter optimization deployment method fusing weighted K-means and IABC, first, patient data is acquired and the geographical position coordinates thereof are standardized pretreated, the patients are classified according to the injury degree and corresponding weight values are given, and a weighted data set is formed; subsequently, a weighted clustering square error and a silhouette coefficient are calculated, the elbow rule and the silhouette coefficient method are cooperatively decided, and the optimal helicopter deployment number k is determined; then, the weighted data set is taken as input, and the initial deployment position coordinates of the k helicopters are solved through a weighted K-means algorithm; then, a single-target fitness function integrated by three sub-functions including service coverage, rescue response time and economic cost is constructed, and a multi-target optimization problem is integrated into a single-target optimization problem; finally, an improved artificial bee colony (IABC) algorithm with a directional learning mechanism is adopted, the initial deployment position of the helicopter is taken as an initialization population for iterative updating, and the final pre-hospital care helicopter deployment coordinates are output.

This application relates to the field of smart city technology, and in particular to a method, electronic device, readable storage medium, and computer program product for the dynamic configuration of urban service facilities based on multi-source data. The method includes acquiring multi-source data of a target area; generating a human-scale spatial quality score based on dynamically sensed data, obtaining the spatiotemporal distribution characteristics of residents' activities, and calculating the coupling coordination degree between residents' behavior and the spatial environment; constructing an index system of built environment influencing factors at the urban scale based on static spatial data, and identifying key factors and their impact thresholds affecting spatial quality using the human-scale spatial quality score as the target variable; delineating service areas of different levels of living circles based on the spatiotemporal distribution characteristics of residents' activities, coupling coordination degree, key factors, and impact thresholds, and generating optimized configuration schemes and dynamic allocation instructions for public service facilities. This enables quantitative diagnosis of spatial quality and dynamic optimization of facility configuration.

Aspects herein provide a system, media, and methods for / of an application that utilizes and leverages machine learning techniques, infrastructure information (e.g., existing and planned cell sites, lease agreement sites, fiber-optic networks, geographic landmarks), and collected telecommunication data, to accurately identify and determine specific solutions and specific locations for those solutions to be deployed in a geographic area. In embodiments, the application autonomously identifies an optimized specific solution type for various clusters of poor-service coverages areas within the geographic areas. The application also determines a precise location for deployment of each optimized specific solution type for each cluster.

The present application relates to an electronic device in a communication and perception integrated system, a method for the communication and perception integrated system, and a computer readable storage medium. The electronic device performs: transmitting a reference signal to a user equipment within a service range of the electronic device via at least one communication beam for beam adjustment, and obtaining a correspondence between a communication parameter related to at least part of the at least one communication beam and position information of the user equipment, transmitting a reference signal to an object within a coverage range of the electronic device via at least one perception beam, and obtaining an echo parameter related to at least one echo of the object, and inferring the position information of the object based on the echo parameter and a correspondence set constructed according to the correspondences corresponding to a plurality of user equipments respectively.

The application discloses a multi-depot open vehicle route planning method based on an ALNS algorithm, and specifically comprises the following steps: S1, a vehicle path mathematical model is constructed with the optimization target of minimizing the total path length; S2, detailed addresses of each relay station where vehicles are located after completing end distribution are input, and the locations of large customers within the service range of the network points and relevant ticket and piece data are input; S3, a distance matrix is generated according to the address information; S4, in the iteration process of the ALNS algorithm, the model solution is initialized based on the Multi-Deport scene, and the iteration calculation is performed on each route; and S5, in the iteration process of the ALNS algorithm, the route adopts a Single-trip strategy to match the vehicle, and the matching strategy of the route and the vehicle is implemented. Through the initial solution calculation and the processing method of the destruction and repair operators of the multi-depot open vehicle route planning problem, the application links two operation tasks of collection and end delivery, and improves the efficiency of the delivery and collection of the network points.

This invention relates to a method and apparatus for site selection of low-altitude aircraft take-off and landing facilities based on three-dimensional airworthiness evaluation. Belonging to the technical field of low-altitude transportation system planning and low-altitude infrastructure site selection, it solves the technical problem of existing technologies struggling to quantify the volume, continuity, and actual accessibility of the three-dimensional flyable airspace above candidate facilities. The method involves acquiring multi-source spatial data to generate a set of candidate take-off and landing facilities; constructing a local three-dimensional voxel airspace model; generating hard inaccessibility markers and probabilistic flyable attribute values ​​based on three-dimensional airspace hard constraints and semantic constraints; calculating coverage index, modified continuity index, and accessibility index; determining the three-dimensional flyable airspace index; and combining five types of constraints—inaccessibility rate, service coverage, number of facilities, safety distance, and minimum index threshold—to screen and optimize the layout of candidate take-off and landing facilities, outputting the site selection results for low-altitude aircraft take-off and landing facilities. This invention is used to achieve integrated ground-airspace site selection for low-altitude aircraft take-off and landing facilities.

This invention discloses a multi-UAV collaborative resource allocation method based on a hierarchical graph attention network, belonging to the fields of wireless communication and edge intelligence. By constructing a time-slotted collaborative computing scenario composed of multiple UAVs and mobile users, UAV trajectory planning, collaborative target selection, and offload ratio control are incorporated into a unified decision-making framework, and the system optimization problem is modeled as a partially observable Markov decision process. Simultaneously, a hierarchical graph attention-enhanced multi-agent twin-delay deep deterministic policy gradient algorithm is employed to jointly encode and represent the UAV's own state, neighbor states, and user task states. The collaborative relationships between UAVs are learned through a graph attention mechanism, and key user-side information is filtered through the attention mechanism. Combined with a dual-fairness reward mechanism based on long-term service coverage and underservice status, joint optimization of latency, energy consumption, user service fairness, and UAV load fairness is achieved.

The application discloses an eVTOL landing site location method, comprising the following steps: determining an initial candidate landing site set based on a three-dimensional city model constructed according to city geographic space data combined with a GIS platform; establishing a mixed integer programming model with the maximum coverage area, the minimum flight energy consumption and the minimum flight time as the target; using a simulated annealing algorithm to perform iterative search based on the initial candidate landing site set to generate an initial layout scheme meeting preset conditions as an initial solution; using an exact solver to take the initial solution as a search starting point to perform accurate optimization on the mixed integer programming model and output an optimal eVTOL landing site layout. The application comprehensively considers the multi-objective trade-off between the complex three-dimensional space constraints of the city and the operation of the eVTOL, can plan a landing site layout scheme that is safe, efficient and optimal in service coverage, and can effectively improve the operation efficiency of the urban air transportation system.

The application discloses a communication method and device, the method comprises the following steps: a first session management function (SMF) in a first network receives a first session establishment request sent by a terminal device through an access network device, the request is used for requesting to establish a session connection related to the terminal device; in the case that the terminal device requests to perform a first service of a second network, the first SMF establishes a session connection between a first user plane function (UPF) and a first communication device in the second network, and a session connection between the first UPF and the access network device. The first service is within the service range of the second network, the first communication device is a device connected with a server of the first service in the second network, and the service range of the first network includes the service range of the second network. The method of the embodiment of the application takes the first communication device in the second network as the session anchor point of the terminal device in the case that the terminal device accesses the first network to perform the service of the second network, and can guarantee the security of service data.

This disclosure provides a method, apparatus, storage medium, and program product for sending V2X messages, relating to the field of communication technology, and is used to reduce the transmission latency of V2X messages and network resource consumption. The method includes: a network device receiving a first vehicle-to-everything (V2X) wireless communication message sent by a first terminal, and broadcasting the first V2X message within the service range of the first V2X broadcast service.

The application provides a lock card data processing method, device and system and a storage medium, and relates to the technical field of terminals. The method comprises the following steps: acquiring at least two lock card demand configuration information of target software, the lock card types of the at least two lock card demand configuration information being different, the lock card types comprising a network lock, a sub-network lock, a service provider lock, a group lock and a user lock; the at least two lock card demand configuration information being used for jointly indicating a service range after lock card verification; and writing the target software and the at least two lock card demand configuration information into a specified position of a terminal. The scheme can be compatible with at least two lock card demand configuration information of different lock card types, can be used for indicating a service range after lock card verification, and can improve the flexibility and scalability of lock card limitation.

This application provides a communication method. The method includes: receiving, within a service range of a first network device, a first reporting condition sent by the first network device, where the first reporting condition includes an identifier of the first network device and an identifier of a user equipment, and the first reporting condition indicates a condition for reporting user equipment history information UHI of the user equipment to the first network device; and sending feedback information of the user equipment, the identifier of the user equipment, and the identifier of the first network device to a second network device within a service range of the second network device, where the feedback information of the user equipment includes UHI that satisfies the first reporting condition. The technical solution of this application can implement a user equipment path feedback transmission mechanism across network devices.

The application discloses a community scale automatic external defibrillator layout optimization method and related equipment, which can be applied to the technical field of public health facility configuration and urban emergency resource optimization. The application constructs a community cardiovascular event risk prediction model by obtaining a research database for optimizing the layout of an AED in a target area, extracts key influence features and community-specific risk thresholds, generates a community-specific AED service response radius, constructs a multi-scenario traffic impedance surface and an AED accessibility evaluation model according to the research database, calculates the AED accessibility of each community, couples the community-specific risk to obtain an AED layout optimization scheme to be optimized, and performs multi-objective optimization to obtain a target AED optimization layout scheme, so that the service range of the AED facility in the target area can be more fitted to the real risk and travel ability difference of the community, and the emergency response efficiency, layout fairness and resource utilization efficiency in the target area are improved.

The application provides a communication method and device, belonging to the technical field of communication, to guarantee the service experience of group members. In the method, the service range or internal range of the group can indicate a restricted area for the group members to obtain the service provided by the application network element, that is, the group members can only obtain the service provided by the application network element within the restricted area, otherwise, the group members cannot obtain the service provided by the application network element. In this way, it can be ensured that the group members obtaining the service are located within the restricted area of the service provided by the application network element, thereby guaranteeing the consistent service experience of the group members.

The application discloses a kind of considering the random programming method of multi-port flexible charging system of electric vehicle charging power dynamic limit.This method includes: collecting power distribution network data, identifying power supply subarea functional attribute and peak charging demand, combined with Voronoi diagram division service range;Build multi-port flexible charging system operation model and charging regulation model considering SOC dynamic limit;Monte Carlo sampling is used to generate joint random scenario set, and representative random scenario and weight are extracted by hierarchical PCA and Wasserstein distance forward selection;With the minimum annual total social cost as the goal, a random programming model containing power distribution network power flow, charging regulation and system operation constraints is established, which is converted into MISOCP by second-order cone relaxation and solved, to obtain power module capacity and charging port number configuration scheme.The application can significantly improve the planning economy and system adaptability.

Provided in the present disclosure are a vehicle-to-everything (V2X) message sending method and apparatus, and a storage medium and a program product. The method comprises: a network device receiving a first V2X message sent by a first terminal, and broadcasting the first V2X message within the service range of a first V2X broadcast service.

This invention belongs to the field of elderly care service scheduling technology. It provides an integrated scheduling platform for elderly care service resources based on county-level coordination. The platform includes: firstly, constructing a geofence for communication blind spots in the county's elderly care service coverage area; secondly, monitoring the communication status of elderly care service terminals in real time; thirdly, recording the entry time and entry vector parameters when a terminal enters the fence; fourthly, combining the entry parameters with preset service tasks to calculate the expected duration of the terminal in the blind spot and marking it as a spatiotemporally locked state; fifthly, maintaining the terminal in a backup active state within the expected duration and temporarily storing new scheduling instructions in a silent buffer; and sixthly, releasing instructions or triggering resource reallocation based on the deviation between the actual duration and the expected duration after the terminal resumes communication. This reduces service costs, ensures continuous and efficient scheduling of county-level elderly care services, and is suitable for the needs of special elderly care scenarios in remote mountainous areas and village-township border areas.

Has: estimated position calculation section (112), which calculates the estimated position of mobile station (100); database (115), which saves information indicating areas in which mobile station (100) can be in service range, information indicating anchor points utilized in each area, and information of communication parameters; Area determination section (113), which determines the area to which mobile station (100) belongs based on the estimated position of mobile station (100) and the information of database (115); Utilize anchor point decision section (114), which decides the anchor point utilized by mobile station (100) based on the area to which mobile station (100) belongs and the information of database (115); Positioning information acquisition section (116), which acquires positioning information indicating the positional relationship between the decided anchor point and mobile station (100); And position calculation section (117), which calculates the position of mobile station (100) based on the positioning information and the information of database (115).

This application discloses a method, equipment, and medium for collaborative optimization of low-altitude airfield site selection and transportation network, belonging to the technical field of data processing methods for management purposes. The method identifies target travel origin-destination pairs and target customer groups, predicts the probability and potential demand for low-altitude transportation modes, determines a set of candidate airfield locations, and establishes airfield service capacity parameters and service radii, creating a service coverage relationship matrix. A mixed-integer programming model is constructed. Cluster analysis of the demand point set generates an initial site selection scheme. Local optimization is performed based on airfield service capacity constraints, and the locally optimized site selection scheme is then globally optimized to output the final airfield site selection scheme and demand allocation scheme. Flight frequencies, timetables, and connection schemes are configured for each route in the initial low-altitude transportation network. Multi-scenario operation is performed based on a simulation model, iteratively optimizing model parameters until the optimized airfield site selection scheme, transportation network scheme, and operation scheme are output.

The application provides a life circle planning evaluation method and device based on space supply-demand matching, and belongs to the technical field of urban planning technology, and specifically comprises the following steps: obtaining multi-dimensional geographic data of a target region, determining an isochrone service area of an existing device, obtaining service coverage of the device, determining a service blind area that is not covered by the service, performing spatial discrete grid processing on the target region to generate an evaluation grid set, determining initial site selection of facilities that can be reached within a predetermined time range based on the service blind area and the evaluation grid set, performing weighted calculation on service population of the initial site selection of the facilities, obtaining a site selection efficiency index, screening and optimizing a theoretical planning land block and the initial site selection of the facilities based on the site selection efficiency index, and generating a relatively optimal site selection scheme combination. Through the processing scheme, global traversal search is realized, global optimal solution is ensured, a quantitative evaluation system is established, scientific decision support is provided, blind areas are accurately focused, and efficient supply-demand matching is realized.