165 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 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 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.

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 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 a store layout optimization method and device, computer equipment and a storage medium, belongs to the technical field of artificial intelligence, and is suitable for the field of finance, in particular to store layout optimization of insurance companies. The method comprises the following steps: firstly, identifying a user aggregation area through user position data, constructing a preliminary layout grid, and identifying a high-density area based on clustering analysis; and then, by introducing a service bearing capacity model and a hypersphere spatial index structure, the coverage range and the service capacity of the store layout are comprehensively evaluated, and the scientificity and the rationality of resource allocation are improved. And meanwhile, the comprehensive performance of the stores is quantified in combination with a pre-trained store scoring model, so that the value of each store is accurately evaluated. And finally, optimizing the store layout grid by integrating the multi-dimensional indexes, and outputting an optimal layout result. The intelligent level of the store network in the aspects of space resource configuration, user service coverage and overall operation efficiency is remarkably improved, and the problem that the service capability of partial regions is insufficient is effectively relieved.

The embodiment of the invention provides a satellite communication service configuration method and device, equipment, a medium and a product. The method comprises the following steps: acquiring a satellite communication software support state of a terminal, and issuing a corresponding first OMA-DM management instruction based on a service provisioning instruction; if the terminal has the satellite communication support condition, activating a satellite communication function of a baseband chip of the terminal, and if the terminal does not have the satellite communication support condition, triggering the terminal to obtain and install support software; and meanwhile, in response to the service closing instruction, issuing a second OMA-DM management instruction to log out the function and stop sending related signaling to the satellite network. The method is used for achieving the effects of reducing the user use threshold, expanding the service coverage range and improving the terminal endurance and the satellite network resource utilization efficiency.

A method performed by a first user equipment, UE. The method comprising the first UE detecting that the first UE is out of a coverage of a network. The method further comprises, after detecting the first UE is out of the coverage of a network, the first UE detecting that the first UE is no longer out of the coverage of the network (e.g., the UE determining that it can obtain system information broadcast by a network node of the network). The method further comprises, after detecting that the first UE is no longer out of the coverage of the network, the first UE transmitting to a network node of the network a message comprising: i) location information that the first UE obtained in response to detecting that the first UE is no longer out of coverage and indicating a location of the first UE and / or ii) an indicator indicating a) whether or not the UE could discover a second UE and / or b) whether or not the UE could establish sidelink communication with the second UE.

The invention provides an end-to-end opening method, device and equipment for a customer collection service accessed by renting a special optical fiber, and the method comprises the steps: firstly, providing an autonomous portal for dynamic form arrangement, enabling a customer to carry out the self-service ordering according to a service demand, responding to a service order submitted by the customer self-service portal, automatically matching a corresponding service grade protocol rule, and carrying out the self-service ordering according to the service order; and determining the service coverage of the access point based on the address in the service order. According to the resource access mode and the service level protocol rule of the access point, the resource arrangement scheme is generated, and then the pre-configuration template is called to carry out equipment automatic deployment, so that the configuration accuracy and efficiency are remarkably improved. After deployment is completed, optical power self-adaptive adjustment and multi-dimensional service verification are executed, it is ensured that network performance reaches an expected standard, then end-to-end topology information is generated and input into a monitoring system, and real-time monitoring and management of the network are achieved. The full-process automation not only greatly shortens the service opening time, but also effectively reduces the manual configuration error rate.

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 invention discloses an intelligent metasurface detection method and device and electronic equipment, and the method comprises the steps: firstly obtaining an RIS report parameter, then obtaining an RIS information source cell according to the RIS report parameter, obtaining an RIS service range according to the RIS information source cell, carrying out the prediction and judgment according to the RIS service range, obtaining a first predicted user parameter, and carrying out the detection of a metasurface according to the first predicted user parameter. And obtaining a first preset scheme, and implementing a playing service based on the first preset scheme. Namely, the corresponding first predicted user parameters can be obtained more accurately based on the RIS information source cell and the RIS service range, and then the first preset scheme is obtained based on the first predicted user parameters, so that the scheme keeps high accuracy under the condition of low cost.

The application provides an infrastructure service range analysis method, device and electronic equipment, and relates to the field of space planning. The infrastructure service range analysis method comprises the following steps: determining a starting point data set and an ending point data set for OD analysis of at least one target area including a basic service infrastructure; calculating an OD distance corresponding to the basic service infrastructure based on a road network data set, the starting point data set and the ending point data set; and determining a service range of the basic service infrastructure according to the OD distance corresponding to each basic service infrastructure. The infrastructure service range analysis method provided by the embodiment of the application can efficiently and accurately determine the infrastructure service range in a large range.

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.

A method, apparatus, and electronic device for detecting abnormal input to an intelligent agent based on a large model are disclosed, relating to the fields of large models, intelligent agents, and artificial intelligence. The method includes: acquiring input content for the intelligent agent; wherein the intelligent agent is associated with a first large model, which outputs model processing results based on the input content; performing semantic understanding on the input content and the service scope description information corresponding to the intelligent agent based on a second large model, and determining the abnormal detection result corresponding to the input content based on the semantic differences between the input content and the service scope description information; wherein the service scope description information corresponding to the intelligent agent is determined based on the intelligent agent's configuration file, which at least describes the definition of the service functions provided by the intelligent agent. This effectively identifies abnormal inputs using semantic transformation techniques such as synonym replacement, sentence reconstruction, and the addition of interfering words, thereby improving the accuracy and reliability of abnormal detection of the intelligent agent's input content.

The invention provides a country passenger and cargo mail trunk road bus scheduling method considering off-station connection, which comprises the following steps of: dividing all-day operation time into a plurality of unit time domain windows, distributing in-station passenger, cargo and mail demands in a time domain to bus shifts running in the time domain, and generating an initial bus shift path; inserting an off-station passenger request into a current time domain shift path by adopting minimum cost nearest neighbor insertion, and calculating a path cost increment for bypassing to a demand point; accepting or refusing of the out-of-station request is dynamically decided by maximizing the objective function, and refused out-of-station passengers are served by the branch connection vehicle; and outputting an out-of-station request acceptance / rejection matching result of the passenger end, the bus income and time cost, and a trunk bus running diagram of the bus end, and obtaining a final scheduling path. According to the invention, no-load bus resources are fully utilized, the carrying efficiency, the response flexibility and the tail end accessibility of the trunk bus are improved, and the service coverage capability of the area outside the station is enhanced.

The present application relates to a network access method, apparatus, computer equipment, storage medium and computer program product, which are applied to the PCF network element of the home location corresponding to the user terminal. The method includes: in response to a general DNN session establishment request initiated by the user terminal at the visited location, obtaining a target service range mapping table corresponding to the dedicated DNN contracted with the user terminal; in the target service range mapping table, determining the nearest home service range that matches the location information of the visited location as the target home service range; sending the policy information obtained based on the target home service range to the SMF network element of the visited location; the SMF network element of the visited location is used to send a dedicated DNN session establishment request to the target nearest home location SMF network element that matches the target home service range and the dedicated DNN contracted with the user terminal according to the policy information, so as to connect the user terminal to the private network of the nearest home location. The use of this method can optimize the service delay of dual-domain private network users in multi-home access scenarios.