284 results about "Service coverage" patented technology

The present invention discloses a city planning simulation system based on real-scene three-dimensional (3D) and relates to the technical field of city planning. The system comprises the following components: a data acquisition module, a real-scene three-dimensional (3D) and disaster simulation module, a comprehensive planning module and a comprehensive evaluation module. The present invention plans the optimal emergency evacuation route by utilizing a path planning algorithm and taking into account the area affected by the damaged infrastructure and the recovery time of the infrastructure, thereby not only ensuring the safety and feasibility of the evacuation route but also greatly improving the evacuation efficiency. At the same time, according to the emergency evacuation route planning results and the infrastructure resilience evaluation results, the type and layout of the rescue facilities are determined, the service scope and coverage of the rescue facilities are analyzed by a geographic information system, the layout of the rescue facilities is optimized, and it is ensured that the rescue resources can efficiently and accurately reach the disaster-stricken area.

The invention provides an intelligent charging pile site selection evaluation method and system. The method comprises the following steps: acquiring communication data of a mobile terminal in a target area in real time, and constructing a demand time period division model to distinguish daytime quick charging and night conventional charging demands; dynamically adjusting the position of an edge computing device based on demand distribution to ensure that the service range is matched with a people flow density peak region in real time; controlling the multi-port wireless charging system to switch an adaptive charging power mode according to the identified charging demand type; and generating a candidate charging pile layout position set in combination with equipment layout and power mode data, and screening out an optimal deployment scheme through safety distance verification. According to the technical scheme provided by the invention, efficient matching between the charging pile layout and the dynamic people flow demand is realized, and the daytime charging efficiency and the night equipment utilization rate are improved.

The invention discloses a large-scale infrastructure intensive land-saving development potential analysis method and system, and the method comprises the following steps: 1) constructing a large-scale infrastructure stock land geospatial database based on Arcgis, and collecting the related element data of the large-scale infrastructure stock land; 2) extracting land suitable for optimizing stock of large infrastructures, and screening and extracting municipal public facility land and road and traffic facility land which are larger than 5 hectare in land scale and are not dangerous; 3) constructing an AHP-entropy weight method hybrid model, optimizing the weight by means of a genetic algorithm to establish a site selection evaluation system, and comprehensively evaluating the alternative land; 4) constructing a land development population service coverage model to obtain the number of each development land service population; and 5) guiding a land redevelopment time sequence in combination with the comprehensive score of the alternative land and the number of serviceable population. The method provides a path for improving the utilization efficiency of land resources, eliminating the neighborhood effect of large infrastructures and realizing high-quality development.

The invention discloses a pension service institution supplementary site selection method based on multi-source data and machine learning, and relates to the technical field of pension service institution site selection. According to the method, site selection is performed on the multi-source data of the pension service through machine learning, so that the labor cost and the dependence on manual analysis are reduced, and the automation degree of site selection is improved; according to the method, multiple machine learning models are optimized, the optimal machine learning model is selected for site selection, the application range is wide, changing requirements can be dynamically responded, it is ensured that service coverage of the old-age care facility is matched with actual requirements, and the method adapts to dynamic changes of city and population structures.

The invention discloses a mobile switching management method, satellite communication equipment, a storage medium and a program product, and relates to the technical field of satellite communication. Whether the target user terminal is directly connected to the current satellite node or not can be quickly determined by using the positive service user list, and whether the target user terminal is in the service area of the current satellite node or not can be determined by using the positive service area list. Whether the target user terminal is in the service range of the adjacent satellite nodes or not can be determined by using the positive service user list of the neighbor nodes, and the position of the target user terminal can be efficiently determined under the high dynamic condition of the satellite network based on the cooperative use of the three lists dynamically maintained in each satellite node. And selecting an optimal path to route the paging message to the target user terminal.

The invention discloses a public service facility blind area and low-efficiency area identification and facility addition method and system based on a knowledge graph, and the method comprises the steps: integrating the current data of a target city, constructing a target city graph which takes spatial form elements and current public service facility elements as entities, and takes a spatial distance as a relation; and screening out a service range sub-graph of each public service facility based on the target city map, and further identifying a service blind area and a low-efficiency area. In addition, for service blind areas and low-efficiency areas, entity nodes in the sub-graphs are intelligently screened according to multi-dimensional elements to serve as newly-added facility site selection points, and results are interactively displayed. According to the method, the multi-dimensional knowledge graph is constructed, so that the relevance characteristics between each element of the crowd and the space and the service facilities can be accurately grasped, and the service blind area and the low-efficiency area can be more scientifically and objectively identified. And meanwhile, the comprehensive site selection credibility based on the multi-dimensional elements is higher, the sub-item site selection optimization is more comprehensive, and the formed three-dimensional interactive display is more stereoscopic and visual.

The invention discloses a vehicle diagnosis service method and system based on dynamic protocol adaptation and context awareness, and the method comprises the steps: analyzing a diagnosis request, and determining a service range and a dependency relationship required by the diagnosis request; obtaining multi-dimensional context information, and based on the obtained information and the dependency relationship, executing a routing decision to select an optimal service instance and a protocol path; dynamically calling a protocol adapter through a protocol adaptation matrix based on the service instance and the protocol path, converting the diagnosis request into a protocol message, and sending the protocol message to a vehicle network; and receiving the original diagnosis data returned by the vehicle network to generate a complete diagnosis report. According to the method, flexible calling of the protocol adapter is realized through the dynamic protocol adaptation matrix, the service range and the dependency relationship are analyzed in combination with the service governance engine, and the routing decision is optimized by utilizing the multi-dimensional context information, so that the method has the advantages of dynamic and flexible protocol adaptation, accurate and intelligent service analysis and global optimization of the routing decision.

The invention discloses a low-orbit constellation beam resource allocation method based on an adaptive evolutionary algorithm, and the method comprises the implementation steps: obtaining a user demand prediction result through a trained user demand prediction neural network, pre-judging user demand fluctuation in advance, and improving the real-time performance and accuracy of resource allocation. On the basis of a preference list, a Gal-Shapley algorithm is utilized to match satellite beams and users in a beam overlapping area, an objective function and a resource allocation constraint condition are defined according to a satellite communication system model, a self-adaptive evolutionary algorithm is proposed to jointly allocate power and bandwidth, and beam resource allocation optimization is achieved. According to the method, the capacity provided by the satellite is matched with the capacity required by the user, so that the user service coverage rate is improved, and meanwhile, the resource utilization rate of the low-orbit satellite is improved.

This application discloses a call method and system, and a related apparatus. When a specific condition is met (for example, a callee fails to be paged), a network device forwards, to a VoIP server, a first call request to a target number, where the first call request is a call request initiated by a calling terminal to the target number, and the target number has been subscribed to a call forwarding service. Then the VoIP server parses a forwarding message from the network device to obtain a called number, searches, based on the called number, for the called terminal associated with the called number, and initiates a VoIP call to the called terminal, so that the callee in an out-of-service state (for example, there is no signal of an operator network or the callee is in an airplane mode) can still receive the call request from the caller.

The invention discloses a group insurance product recommendation algorithm and device based on big data and computer equipment, particularly relates to the field of insurance science and technology, and comprises feature fusion and standardization, space-time adaptation degree calculation, group preference propagation, dynamic demand prediction, multi-objective optimization sorting and feedback self-adaption. According to the method, deep integration of multi-source data is realized through multi-modal feature fusion and encryption standardization, service coverage radius change and policy periodic attenuation characteristics are dynamically captured by using a three-dimensional space-time quantification model, and recommendation timeliness is improved in combination with a group preference propagation mechanism; the innovatively designed double-target Pareto optimization strategy cooperates with enterprise profit and customer utility targets, and a space-time adaptation coefficient and a propagation weight are dynamically adjusted by collecting business indexes in real time, so that a closed-loop feedback system is formed. The technology effectively solves the problems of single data dimension, static rule lagging and benefit imbalance of a traditional method, and has the advantages of privacy protection, dynamic response and multi-target balance.

The invention discloses a dynamic adjustment method and system for a service area of Internet of Things equipment and a terminal, and the method comprises the steps: obtaining data corresponding to all Internet of Things equipment in the service area, and carrying out the preprocessing of the data, and obtaining target data; according to the target data, generating a buffer area corresponding to each piece of Internet of Things equipment, and merging the buffer areas to obtain a joint service coverage area; performing hotspot analysis on the service area to determine a hotspot area, and performing path analysis on the service area to obtain a service effect; judging whether a service blind area or a repeated coverage area exists in the combined service coverage area or the hot spot area, judging whether a service effect meets a preset requirement, and if the service blind area or the repeated coverage area exists or the service effect does not meet the preset requirement, according to the target data, sending the target data to the server; and dynamically adjusting the Internet of Things equipment in the service area through an optimization algorithm. According to the method, the service area is continuously optimized in the equipment operation process, and the response speed and the service quality of the system are improved.

The invention discloses a rural residential area automatic layout method based on shape grammar and multi-objective optimization, and the method comprises the steps: firstly constructing a rasterized construction cost surface based on the slope data of a research area, a basic farmland protection area vector and an ecological protection red line vector, and then constructing a rasterized construction cost surface based on a traditional residential building sample library and survey data; a shape grammar rule base including a building foundation, courtyard topology, residence number configuration, style and feature control and public service facility coverage is constructed, rule parameters are iteratively optimized by taking a land intensification degree, an ecological interference degree, a style and feature coordination degree and a service coverage degree as optimization targets, an optimal solution set is obtained, and finally, a construction cost surface is taken as a guidance, so that the construction cost is optimized. Performing layout generation in the low-cost constructable area according to the optimal solution generation; according to the technical scheme provided by the invention, a high-implementability rural residential area layout scheme with intensive land utilization, ecological protection and regional style and appearance coordination can be generated under various natural and policy constraint conditions, and the layout generation efficiency is improved.

The invention discloses an urban garbage treatment station site selection method and device, electronic equipment and a storage medium, and relates to the technical field of site selection. The method comprises the following steps: dividing a target city area into a plurality of grid areas; acquiring signaling data of each grid region, and estimating population distribution characteristic data; acquiring historical garbage clearance data and commercial interest point data, and processing to obtain garbage prediction data; obtaining road data, establishing a topological road network model, and performing traffic characteristic evaluation on the topological road network model to obtain traffic characteristic data; acquiring ecological data, and acquiring service coverage data of each garbage disposal station; based on the obtained data, obtaining a multi-dimensional evaluation result, and determining a plurality of preliminary site selection of the garbage disposal station; and determining a preset number of addresses from the plurality of preliminary addresses as a final address of the garbage disposal station of the target city. By implementing the technical scheme provided by the invention, the accuracy of site selection of the urban garbage treatment station can be improved.

The invention belongs to the technical field of self-adaptive dynamic planning, and provides a self-adaptive shunting method for a merging layer strategy elevator powered by an emergency power supply, which specifically comprises the following steps of: firstly, identifying a power supply mode of an energy storage power supply by monitoring voltage fluctuation of the elevator; the continuous high-demand areas are collected through target floor data to form a combined floor, then whether load overloading occurs in the service execution range of the elevator is judged according to the elevator load, and finally the service range is redistributed for the elevator group when load overloading occurs. The merging quality of the merging layer is improved through the method of adaptively establishing the merging layer according to the time period, so that the no-load rate can be effectively reduced while the stopping rate is reduced in the application process of the merging layer strategy. And service range adjustment is carried out on the problem of excessive load of individual elevators in the application process of the merging layer strategy, and power consumption balance between the elevators enables cooperation between energy storage power supplies connected in parallel to be more stable.

Example embodiments of the present disclosure relate to a scheme for specifying behaviors of terminal devices and network devices in discontinuous coverage. In the scheme, a first device obtains first information and second information, the first information indicates a first effective duration of an uplink synchronization parameter, and the second information indicates a second effective duration of a service coverage area of a second device. Wherein the uplink synchronization parameter is used by the first device for communication between the first device and the second device. Further, after determining that the first effective duration is about to expire, the first device skips reacquisition of the uplink synchronization parameter based at least in part on the first information and the second information. In this way, unnecessary power consumption can be avoided accordingly.

The invention relates to the technical field of public service networks, in particular to an adaptive network evolution public service radius measuring and calculating method, which comprises the following steps that: according to service contents provided by a public service, the public service is divided into a plurality of functional units, and each functional unit comprises at least one service point; constructing a public service network matched with the public service; setting a network evolution mechanism for the public service network to realize self-adaptive evolution of capacity, connection and modular growth of the public service network; setting a dynamic adjustment strategy to realize resource flexible scheduling of the public service and optimization of a service coverage range; obtaining a service coverage area, obtaining a service radius of each service point in the service coverage area based on a multilayer network model, and forming an optimal service radius vector set in combination with the number of demand points covered by each service point and resource consumption under each service radius; and determining the optimal coverage radius and the optimal service radius of each service point.

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 invention discloses an unmanned aerial vehicle edge federated network task scheduling and resource allocation method, and relates to the technical field of artificial intelligence, wireless communication and unmanned aerial vehicle edge computing. According to the method, dynamic clustering can be carried out according to the feature information of the ground terminal equipment through a clustering algorithm, the state space complexity is reduced through clustering, and a basis is provided for initialization and dynamic updating of the position of the unmanned aerial vehicle. In addition, an attention mechanism, priority experience playback and adaptive noise adjustment are combined to form an improved TD3 deep reinforcement learning algorithm, a better strategy can be found more quickly, and the scheduling efficiency and resource allocation capability of the system in a complex task environment can be improved. By means of the method, the network state, the task priority and the unmanned aerial vehicle resource condition can be intelligently sensed, the unmanned aerial vehicle service coverage rate and the resource utilization efficiency are effectively improved, the network task processing efficiency is improved, and changes of different network environments can be effectively coped with in the task scheduling and resource allocation process.

The invention discloses a public transportation auxiliary unmanned aerial vehicle cooperative distribution method considering client point dynamic demands, introduces a public transportation auxiliary unmanned aerial vehicle with large service range coverage to carry out express distribution, and aims to reduce the terminal logistics distribution cost and improve the distribution timeliness. The method comprises the following steps: constructing a generation model which simulates a dynamic customer demand and considers a time window in combination with an actual scene, and establishing a bus auxiliary unmanned aerial vehicle cooperative distribution optimization model which considers the customer point dynamic demand based on a customer point generation mechanism and a bus unmanned aerial vehicle cooperative operation mechanism in the generation model; and aiming at the established model, designing a dynamic information processing strategy based on bus departure time, and fusing the dynamic information processing strategy into an adaptive large neighborhood search framework for solving, thereby obtaining a heuristic algorithm suitable for solving a bus-assisted unmanned aerial vehicle cooperative distribution problem considering the dynamic demand of a client point. The distribution path can be dynamically planned according to the demand points generated at any time, the logistics delivery efficiency is improved, and the distribution cost is reduced.

This application provides a communication method and an apparatus. The communication method includes: A terminal device in a satellite service range receives first indication information indicating the terminal device to notify a network when the terminal device is in an idle state or a suspended state and is about to leave the satellite service range. The terminal device in the idle state or the suspended state determines that the terminal device is about to leave the satellite service range, and in this case, reports second indication information indicating that the terminal device is about to leave the satellite service range. In this way, a network side learns whether the terminal device in the idle state or the suspended state has left the satellite service range, thereby avoiding invalid paging.

The invention discloses a temporary emergency shelter site selection method and system suitable for a huge disaster scene, and relates to the technical field of natural disaster emergency management. According to the method, disaster data and remote sensing image data of a disaster area are processed, disaster grids and non-disaster grids in the disaster area are identified, the site selection range is narrowed, and the site selection precision and accuracy are further improved; risk evaluation, openness and traffic evaluation are carried out on the non-disaster grids, based on the evaluation result, the grey wolf algorithm is utilized to carry out site selection on the non-disaster grids, a temporary emergency shelter site selection scheme is obtained, through data driving, manual analysis dependence is reduced, the site selection automation degree is improved, the site investigation requirement is reduced, and efficiency is improved. And through integration and rapid analysis of multi-source data, dynamic response to change demands is realized, dynamics is enhanced, and a site selection strategy is updated through real-time data, so that emergency service coverage is ensured to be matched with actual demands.

Provided is a communication method, the method comprising: decoupling system messages coupling network configuration information of a service satellite and an adjacent satellite, a first system message comprising network configuration information of a service satellite (first network device), and a second system message comprising network configuration information of an adjacent satellite (second network device), the first system message is sent in the whole service range (the first area) of the service satellite, and the second system message is only sent in the overlapping area (the second area) of the service satellite and the adjacent satellite, so that the system message sending overhead generated when the network configuration message of the adjacent satellite is sent in the non-overlapping area is avoided, a part of sending resources are saved, and the user experience is improved. The part of sending resources can be used for sending data, so that the data transmission efficiency is improved.

The invention provides an urban resource enjoyment unevenness dynamic evaluation method based on reachable time constraint, which comprises the following steps: independently constructing a supply end model, a demand end model and a connection end model, when any parameter of a supply end, a demand end or a connection end changes, only updating data of an affected model, and when any parameter of the supply end, the demand end or the connection end changes, updating the data of the affected model; recalculating an unevenness evaluation result based on the dynamic reachability; according to a dynamic interaction relationship among the supply end capability, the demand end weight and the connection end accessibility, generating a space resource enjoyment unevenness quantitative index; and in combination with the unevenness quantitative index, a new resource site selection scheme is generated through a particle swarm algorithm, and the scheme meets the minimum spacing constraint, the service coverage rate constraint and the functional diversity constraint.

The invention discloses an urban public facility layout optimization method and system based on multi-source space-time big data, and relates to the technical field of urban planning. Comprising the following steps: firstly, acquiring and fusing multi-source space-time big data such as mobile equipment signaling data and point-of-interest data; identifying and delimiting an urban public service three-level center system based on the fusion data through a spatial clustering and network analysis algorithm, and determining each center level and a spatial influence range; constructing a differentiated service demand quantification model for each level of service center; constructing a multi-stage collaborative layout optimization model, and completing facility hierarchical assignment and site selection optimization; evaluating the layout scheme in the simulation environment and outputting a grading evaluation report; through dynamic analysis and multi-level collaborative optimization driven by multi-source space-time big data, accurate matching of public facility layout and service requirements is achieved, and meanwhile the service coverage rate and cross-level connection efficiency are improved.

The invention discloses an unmanned ship-borne unmanned aerial vehicle cooperative distribution path planning method for a moving ship. The method comprises the steps that a shore-based control center establishes a time extension network and calculates task priorities; calculating the position of each target ship in real time according to the time extension network; generating a task allocation and path planning scheme through a branch-pricing-cut plane algorithm; the unmanned ship starts from a shore base and sails to an optimal parking point for standby, and the unmanned aerial vehicle takes off from the unmanned ship and executes a delivery task along a planned path; the unmanned ship dynamically tracks the position of the unmanned aerial vehicle through LOS guidance and calculates the expected course angle of the unmanned ship, and the course and speed are dynamically adjusted, so that the unmanned ship is always within the effective recovery range of the flight of the unmanned aerial vehicle; and after the current task is completed, continuously executing multi-task collaborative distribution according to requirements. According to the invention, the advantages of aerial carrying capability and medium-range maneuverability of the unmanned ship and high-speed response to the unmanned aerial vehicle are brought into full play, and the service coverage and task continuity are remarkably improved.

The invention discloses a smart park comprehensive management system based on intelligent collection, and relates to the technical field of smart park comprehensive management, and the system comprises a collection and generation module which collects original data, segments a service area through a Voronoi graph, and generates a shortest distance matrix in combination with a Floyd algorithm; the calculation and iteration module is used for calculating facility priority scores, generating a facility start-stop sequence and scheduling individuals in combination with the shortest distance matrix, and carrying out iterative optimization to obtain an initial solution; the optimization module is used for generating an elite and a common population based on the initial solution to perform initialization, and performing optimization through disturbance, path selection probability and a pheromone diffusion mechanism in combination with a Hamming distance difference evaluation and cross replacement strategy to obtain an optimal solution; according to the invention, the position of the facility can be accurately adjusted, the facility arrangement of the park is more reasonable, and the service range is maximized, so that the overall service quality and the operation efficiency are improved.

The embodiment of the invention provides a communication method, device and system and a storage medium. In the method, a first core network device receives a registration request for requesting a terminal device to access a second network. And the first core network equipment sends first information to first access network equipment serving the terminal equipment under the condition that the terminal equipment is allowed to access the second network. The first information is used for indicating that when target access network equipment or a target cell for accessing the second network is selected for the terminal equipment, the access network equipment or the cell of which the service range comprises the coverage range of the second network is preferably selected. Therefore, according to the embodiment of the invention, when the terminal equipment moves between networks (such as between a subnet and an operator large network), the continuity of services can be improved.

The present invention discloses a method for designing inter-layer links of multi-layer constellations with enhanced service coverage capability, comprising: constructing a large-scale multi-layer satellite network spanning T time slots, and obtaining the coordinates of all satellites in the multi-layer satellite network in each time slot under geocentric coordinates; constructing an adjacency matrix of each constellation layer in the multi-layer satellite network; constructing a feasible set of satellite links between two adjacent layers in each time slot multi-layer satellite network; constructing a ground non-uniform service model based on geographic population distribution, dividing the earth's surface into multiple logical regions; calculating the weight of each time slot inter-layer link in the satellite link feasible set; establishing an inter-layer link allocation model based on the weight of the inter-layer link; optimizing the inter-layer link set in the satellite link feasible set to obtain an optimized inter-layer link set. The present invention designs a large-scale satellite network inter-layer topology by constructing inter-layer links, improves the throughput of the multi-layer satellite network, and effectively enhances the service coverage capability for global non-uniform services.

The invention discloses a website logistics display method and device, equipment and a storage medium, and the method comprises the steps: obtaining a plurality of target websites and a target service range of each target website; determining a target service boundary coordinate corresponding to each target service range; reverse geocoding is carried out on each target service boundary coordinate, target area information of each target website is determined, and the target area information comprises a target area name and a target area code; a target interface is constructed, and the target interface takes the target area code as a key and takes target website group information corresponding to the target area code as a value; and in response to a trigger operation on a target area on the preset map display interface, calling the target interface to query area information of the target area in the target database so as to enable the area information to be displayed in a popped target pop-up box. According to the scheme, a multi-dimensional data view angle can be provided for a user, and the visualization degree of information is improved.

The present application provides a communication method for decision-making. The method comprises: deploying a network function in an access network or a core network, collecting decision-making information of each communication device in a service range; and on the basis of the decision-making information, providing assistance information for each communication device to assist each communication device in making a local decision. In this way, the accuracy of local decision-making can be improved.