231 results about "Service coverage" patented technology

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 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 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.

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.

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 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.

The invention discloses a take-out delivery service range division method, device and equipment and a storage medium. The method comprises the following steps: dynamically calculating delivery time through store position information, a dynamic traffic factor, a dynamic meal delivery factor, a rider type factor, an optimization factor and an end point delivery difficulty factor; calculating the shortest passing time from the store to each node in the road network according to the delivery time, and generating a special delivery isochrone and a fast delivery isochrone according to the shortest passing time; according to a preset transport capacity density threshold value and a preset historical punctuality rate threshold value, carrying out dynamic optimization on the dedicated delivery isochrone, and according to an optimization result and the fast delivery isochrone, generating a fast delivery service area, the problems that a traditional take-out delivery range division method depends on a static distance and cannot adapt to resource waste and service blind areas caused by transport capacity distribution, weather changes and order density fluctuation in real time are effectively solved, accurate dynamic adjustment of the delivery service range can be achieved, and the delivery punctuality rate, the resource utilization rate and the user order placing experience are remarkably improved.

Embodiments of the present disclosure provide a signal measurement method and apparatus, a storage medium, and an electronic device. The method comprises: determining the range to which a transmitted signal received by a terminal device from a base station belongs, and on the basis of a receiver state corresponding to the range, measuring a serving cell corresponding to the terminal device to obtain a measurement result, wherein a first coverage range is the service range where a low power wake-up receiver (LR) is located, a second coverage range is the service range where a main radio unit (MR) is located, and the transmission power of the transmitted signal is configured by the base station; and on the basis of the result of comparison between the measurement result and a threshold configured by the base station, generating a handover control instruction for the terminal device, and handing over to the range on the basis of the handover control instruction.

The invention discloses a hierarchical analysis-based emergency material storage site selection method under an extreme disaster condition. The hierarchical analysis-based emergency material storage site selection method under the extreme disaster condition comprises the following steps: S101, carrying out regional constraint hierarchical screening; s102, a disaster risk level assessment step; s103, a step of function constraint hierarchical optimization; and S104, planning a constraint hierarchy decision step. Through layer-by-layer progressive analysis of four levels of construction area, disaster, function and planning, multi-dimensional factors such as geographical environment, disaster risk, traffic accessibility, service coverage, policy compliance and the like are comprehensively considered, decision-making deviation caused by dominance of a single target or local indexes in a traditional method is avoided, the site selection process is more scientific and reasonable, and the site selection efficiency is improved. And the application range is wider.

The application relates to the technical field of public service network, in particular to a public service radius calculation method of adaptive network evolution, which comprises the following steps: dividing the public service into multiple functional units according to the service content provided by the public service, wherein 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 adaptive evolution of capacity, connection and modular growth; setting a dynamic adjustment strategy to realize resource elastic scheduling of the public service and optimization of a service coverage range; obtaining the service coverage range, obtaining the service radius of each service point in the service coverage range based on a multilayer network model, combining the number of demand points covered by each service point and resource consumption under each service radius to form an optimal service radius vector set; and determining the optimal coverage radius and the optimal service radius of each service point.

The present disclosure relates to a multi-cloud domain task processing method and device, electronic equipment and storage medium, and relates to the technical field of cloud services. The present disclosure solves the problem that the service range of a cloud domain is limited by the resources included in the cloud domain, resulting in a small service range of the cloud domain and poor user experience. The method comprises the following steps: determining a second cloud domain from a plurality of cloud domains according to a target task and resource information corresponding to each cloud domain in the plurality of cloud domains, the resources of the second cloud domain including target resources for implementing the target task; the resource information of different cloud domains corresponds to different resources; sending a task execution request to a collaborative service platform of the second cloud domain, the task execution request being used to request the collaborative service platform of the second cloud domain to execute the target task based on the target resources; and receiving an execution result of the target task returned by the collaborative service platform of the second cloud domain, the execution result being sent in the case that the collaborative service platform of the second cloud domain accepts the task execution request.

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 invention belongs to the technical field of satellite communication data processing, and particularly relates to a satellite communication data prediction method, system and device and a storage medium. The objective of the invention is to solve the problem of insufficient data generation authenticity in the prior art. Beam service range division is unreasonable; and the adaptability of the demand prediction model is poor. Comprising the following steps: randomly distributing required flow in a geographic grid range covered by each beam according to beam configuration information to obtain analog data; analyzing the simulation data, and calculating influence data of each wave beam; according to the time dimension, the demand capacity in the geographic grid range served by each wave beam is counted, and historical demand time sequence data of each wave beam is obtained; constructing a prediction model and training to obtain a trained prediction model; and using the trained prediction model to predict the demand of each beam in the future time period, and correspondingly obtaining the demand prediction value of each beam in the future time period.

The invention provides an electric power data multi-dimensional multi-subset edge dense state fusion calculation system, and belongs to the technical field of data processing, and the system comprises user side terminal equipment which is used for converting collected multi-dimensional electric power data into a one-dimensional intermediate code by using a weight coefficient sequence, determining sub-interval tags based on a current super-increasing tag sequence corresponding to the current subset division version so as to determine homomorphic encrypted power data; the aggregation gateway is used for determining the data category of each homomorphic encrypted power data transmitted by each user side terminal device according to the sub-interval labels, and aggregating the homomorphic encrypted power data of the same data category into similar aggregated data; and the cloud server side is used for processing the same kind of aggregated data transmitted in the service coverage area based on the sub-interval labels to obtain multi-dimensional user distribution data. The method supports accurate aggregation and separation of multi-dimensional information in a ciphertext state of not decrypting original data, and is particularly suitable for multi-terminal heterogeneous data fusion requirements of the power internet of things.

According to some embodiments, a method is performed by an analytics system network node. The method comprises obtaining a static service coverage map for a cell of a wireless network. The static service coverage map comprises an association of service quality and coordinates in the cell. The method further comprises: calibrating the service coverage map using one or more of drive test measurements and crowdsource data; blending the calibrated service coverage map with one or more per-flow key performance indicator (KPIs) associated with one or more wireless devices in the cell; training a machine learning (ML) model using the blended service coverage map and one or more per-flow KPIs resulting in a labeled service coverage map; and operating the ML model using actual network load, network configuration and external conditions to generate a dynamic sub-cell service coverage map.

The invention discloses an early warning data screening method based on rule analysis and dynamic triggering, and belongs to the technical field of data early warning. The method comprises the following steps: analyzing an early warning rule configuration table, generating workdays, dynamically calculating weekly / monthly valid dates in combination with a holiday table, recursively generating annual sequence screening on natural days, and customizing and directly extracting three frequency type dynamic screening logics of a preset date; a dynamic task scheduling mechanism is constructed based on Spring Boot, data rescreening and timed early warning state check of dynamic screening logic are triggered in real time during rule change through priority improvement and thread semaphore control, and in the dynamic updating process, B-Tree single-column index, composite index and function index are adopted to optimize query efficiency. The service coverage capability, the real-time response speed and the high concurrency performance of the early warning system are remarkably improved, and the method is particularly suitable for complex scenes needing high-frequency rule adjustment such as finance and government affairs.

The present disclosure provides a relay communication method, relay communication apparatus, network equipment, terminal, and medium, relating to the field of Internet of Things technology. The relay communication method based on a cellular network terminal includes: after a first duration has passed since the initial excitation signal was sent to a backscatter device, if no upload information feedback from the backscatter device is received, broadcasting relay demand information to notify the cellular network terminals within the service range that they need to relay the backscatter device. The relay demand information carries the geographic location of the backscatter device and the distance requirement for relaying. The geographic location and the distance requirement are used to select a relay terminal from the cellular network terminals. Through the technical solution of the present disclosure, by integrating backscattering and cellular networks, cellular network terminals can achieve backscattering Internet of Things-assisted communication.