203 results about "Location area" patented technology

The invention relates to the technical field of account authentication, in particular to an account authentication method and system and a storage medium. The method comprises the following steps of collecting account and password information of a user, detecting synchronous reaction of equipment for the account and password information of the user, performing character error elimination and structure standardization on the account of the user based on a detection result, generating account block data, obtaining IP positioning of terminal equipment and performing longitude and latitude mapping. Generating a positioning area number to construct a dynamic fingerprint, performing key matrix projection based on the dynamic fingerprint of a user, generating projection fingerprint data, constructing a layered authentication code, performing disturbance offset simulation on the layered authentication code, generating an offset authentication key, performing dynamic rule verification, and generating dynamic token data; and constructing a terminal equipment trust link by using the dynamic token data, and performing authority control mapping, thereby constructing an authentication account session. According to the invention, a safer and more flexible account authentication method is realized.

The invention provides a water network monitoring method and system based on intelligent water supply and drainage, and the method comprises the steps: obtaining multi-source heterogeneous monitoring data of a water network in real time, carrying out the unified format conversion and time-space synchronization processing of the multi-source heterogeneous monitoring data based on a protocol adaptive fusion mechanism, and obtaining a standardized multi-source time series data set; performing exception identification processing on the standardized multi-source time sequence data set based on the time-varying statistical characteristics and the dynamic control limit to obtain a candidate exception event set; performing multi-sensor cross validation processing on the candidate abnormal event set based on a pipe network topological space association knowledge graph to obtain a high-confidence abnormal event set; performing reverse scene matching analysis on the high-confidence abnormal event set based on a hydraulic numerical simulation model to obtain a preliminary positioning area; performing positioning optimization processing on the preliminary positioning area based on a graph theory pressure wave propagation algorithm to obtain an abnormal position; and performing multi-dimensional fusion display processing on the abnormal position to generate a monitoring report. According to the method, accurate positioning of the abnormal position is realized.

The invention relates to the technical field of warehouse management, in particular to an intelligent warehouse management system based on deep learning, which constructs a space-time diagram model comprising nodes and edges by combining historical warehouse-in and warehouse-out records, AGV (Automatic Guided Vehicle) tracks and scheduling logs on the basis of spatial distribution information and channel communication relations of warehouse goods locations and function bits. And through deep space-time diagram convolution modeling, outputting a goods allocation value score and a traffic congestion probability, and identifying a goods allocation area which should be preferentially allocated by the high-frequency SKU. And a goods allocation strategy is generated through a reinforcement learning model, and excessive occupation and deadlock of channels are avoided while high-frequency goods are quickly put in and put out of a warehouse. And finally, generating an AGV scheduling instruction set through a path planning algorithm, and issuing and executing the AGV scheduling instruction set. Dynamic collaborative optimization of goods allocation planning and AGV scheduling is realized, the high-frequency goods operation efficiency is improved, meanwhile, path congestion and conflicts are effectively avoided, and the throughput rate and the operation reliability of the system are improved.

A channel state information determination method and device, in the method, a network device determines N rows of base vectors corresponding to N time units based on mobile state information and a channel map of a terminal device, each row of the N rows of base vectors comprises X base vectors, and the channel map is used for indicating channel characteristics based on a location area; the network equipment sends first indication information, wherein the first indication information is used for indicating N rows of base vectors; the network equipment respectively sends pilot signals in N time units; the network equipment receives second indication information, the second indication information is used for indicating weighting coefficients of Y base vectors in the X base vectors, and the weighting coefficients of the Y base vectors are determined based on the pilot signal; and the network equipment determines channel state information corresponding to M time units based on the weighting coefficients of the Y base vectors and the N rows of base vectors, and the M time units comprise N time units. The method can improve the accuracy of the channel state information.

The invention discloses a fire-fighting intelligent early warning system and method based on the Internet of Things, and belongs to the technical field of fire-fighting intelligent early warning. Temperature, smoke concentration and CO concentration data are obtained through an Internet of Things detector, and site position, regional function division and object flammability degree distribution data are synchronously collected; after preprocessing, generating a composite attribute label containing space coordinates, function partitions and flammability grades; constructing an equipment operation state spatial-temporal feature network based on equipment historical data, extracting multi-dimensional time sequence features, calculating a regional risk conduction coefficient in combination with a composite attribute tag, and fusing multiple parameters to generate a differentiated early warning threshold matrix; virtual monitoring grids are divided according to the correlation degree of regional functions and flammability grades, and early warning is triggered after a suspected risk area is identified and judged as an effective risk through space-time cross validation; when early warning is triggered, fire spreading is simulated in combination with site topological data, a dynamic risk map is generated, early warning information is pushed, and an emergency scheme is generated.

The invention provides an air-ground wireless network deployment method, device and equipment, a medium and a program product, and relates to the technical field of wireless communication. The method comprises the following steps: determining the number of air base stations in the air-to-ground wireless network and the positions of a plurality of ground user terminals required to be covered by the air-to-ground wireless network; based on the number of the base stations and the position of each ground user terminal, performing clustering processing on the plurality of ground user terminals to obtain a plurality of clusters; respectively determining the initial position of each air base station based on the central position of the position area represented by each cluster; and based on the initial position of each air base station, solving the optimization problem to obtain the deployment position of each air base station. According to the method, the influence of burst flow caused by dynamic change of user positions in a disaster scene on the network and the condition of dynamic change of interference are fully considered, and the ground user terminals are clustered by adopting clustering so as to reasonably deploy the positions of air base stations, so that the coverage integrity of the air-ground wireless network is improved.

To provide a home electric appliance control information generation system for generating control information that can more optimally operate a home electric appliance in accordance with an installed environment.SOLUTION: A home electric appliance control information 1 for generating control information of a home electric appliance on the basis of operation history information from a plurality of home electric appliances is provided with a server 31 having a storage part for storing acquired data to process data. The operation history information includes position information that can specify a region at which each of a plurality of home electric appliances is installed, setting information, and power consumption, and an information processing part acquires location region weather information with the plurality of home electric appliances are installed on the basis of the operation history information and the position information from the plurality of home electric appliances through a network, classifies the operation history information about the plurality of home electric appliances belonging to the location region to be location-based operation history information, classifies the location-based operation history information into a plurality of groups on the basis of the amount of power consumption, analyzes the location-based operation history information belonging to the same group, and outputs control information of home electric appliances.SELECTED DRAWING: Figure 1

The invention discloses an intelligent vehicle control method and device based on a multi-Bluetooth system and a vehicle, and relates to the field of automobiles. The method comprises the following steps: acquiring an RSSI (Received Signal Strength Indicator) signal generated by communication between a Bluetooth key and at least one Bluetooth anchor point under the condition that the Bluetooth key establishes communication connection with the at least one Bluetooth anchor point; determining a target sub-area where the Bluetooth key is located according to the RSSI signal and the position of the corresponding Bluetooth anchor point; wherein the space region taking the vehicle as the base point is divided into a plurality of sub-regions, and the target sub-region is one of the sub-regions; and executing a vehicle control instruction corresponding to the target sub-region. According to the invention, the position area of the Bluetooth key can be evaluated according to the RSSI signal and the position of the Bluetooth anchor point, so that the digital key is effectively supported to execute specific operation in a specific area, and the control of the vehicle-mounted terminal is non-inductive to a user, so that the vehicle-mounted terminal is more intelligent.

The invention provides a single-terminal line defect detection method and system based on image processing, and the method comprises the steps: extracting a standard sequence of each detection target from a template image of a single-terminal line with a detection frame, and extracting the feature information of each detection frame of the standard sequence and the image feature information of the detection target in each detection frame; according to the standard sequence, mapping each detection frame of the to-be-detected image detected by the deep learning model, marking the position not mapped by the standard sequence as a missing position, and according to the position information of the detection frame adjacent to the missing position and the position information of each detection frame in the standard sequence, determining the position area of the missing position, extracting image feature information of the position area, performing multi-dimensional feature matching on the image feature information and a standard sequence, and determining whether matching succeeds or not; the standard sequence and the feature information of each detection target of the single-terminal line are extracted, and detection and feature matching are performed on the missing position of the to-be-detected image based on the standard sequence, so that missing detection and error detection can be effectively prevented.

The invention discloses a power equipment fault prediction method based on multi-modal data and related equipment, and belongs to the technical field of power operation safety monitoring, and the method comprises the steps: collecting the multi-modal data of a power operation site; inputting the data into a target detection model, determining a target category and position information in combination with a target identity re-association algorithm, and performing position tracking; performing preprocessing according to the channel state information of the real-time position of the target, performing attitude reasoning in combination with a deep neural network to obtain a target attitude, and determining an abnormal state of a target behavior; determining a position area of the target according to the real-time position of the target and an electronic fence technology; and when the target is in the dangerous operation area, determining the abnormal wearing state of the protection equipment of the target personnel based on the image of the target and by adopting a personal protection equipment detection model, and outputting early warning information through edge cloud cooperative early warning. High-precision safety monitoring of an electric power operation site is realized, the personnel behavior identification capability is improved, and the operation risk is comprehensively reduced.

The invention provides a communication method, communication equipment and a storage medium. The communication method applied to a first communication node comprises the following steps: sending indication information; wherein the indication information comprises at least one of the following information: a position; an area; an SSB; and a beam. In the scheme, the first communication node actively sends the indication information including at least one of the position, the area, the SSB and the beam to the second communication node so as to assist the second communication node to select the SMTC and / or the GAP and / or configure the SMTC configuration information and / or the GAP configuration information, so that the situation that the first communication node adopts the SMTC and / or the GAP of an unnecessary adjacent cell for measurement is avoided, and the measurement efficiency is improved. Therefore, the energy consumption of the first communication node is effectively reduced, and the measurement efficiency is improved.

The invention discloses a risk assessment method and device, electronic equipment, a storage medium and a program product, and aims to solve the problems of relatively high labor cost and relatively low risk assessment efficiency when an existing risk assessment mode is adopted. The method comprises the steps of obtaining historical claim settlement data of a position area where a target property insurance object is located; determining a conduction risk value of the historical claim settlement event to the target property insurance object according to the historical claim settlement data, and determining an aggregation risk value of the claim settlement disaster cause of the historical claim settlement event to the target property insurance object; wherein the conduction risk value is used for representing the risk influence degree of the historical claim settlement event on the target property insurance object; the aggregation risk is used for representing a nonlinear risk amplification effect generated by the interaction relationship among the multiple claim settlement disaster causes on the target property insurance object; determining an environment risk value of a position area where the target property insurance object is located; and evaluating risk information of the target property insurance object according to the conduction risk value, the aggregation risk value and the environment risk value.

An access network satellite network element receives an access request from a terminal, obtains network topology information of a plurality of core network satellite network elements from an interface management function network element, determines a candidate core network satellite network element set based on a location area in which the access network satellite network element is located and the network topology information, where the candidate core network satellite network element set is a subset of the plurality of core network satellite network elements, and determines, from the candidate core network satellite network element set, a core network satellite network element set corresponding to the terminal based on an identifier of the access network satellite network element, an identifier of the terminal, and / or a location of the terminal.

The present invention discloses a broiler abnormality monitoring method, system, medium, and terminal based on data analysis, relating to the field of data processing technology. The method primarily aims to address the accuracy and effectiveness issues of existing broiler abnormality monitoring. The method comprises: collecting multiple broiler image data from a broiler breeding facility using cameras located at different monitoring angles; parsing location region identifiers in the broiler image data, and performing pixel segmentation on the broiler image data according to the location region identifiers to obtain multiple block-level image data; performing feature extraction on the multiple block-level image data to obtain feature images, and comparing the multiple feature images according to the comparison time length to determine the abnormal area; and generating the broiler abnormality monitoring result if the abnormal area matches a preset broiler abnormality contour range.

Disclosed are a wireless communication method, controller, apparatus, NTN base station, device, medium, and program wherein the wireless communication method is applied to a controller of an anchor cell, the anchor cell representing a pre-delimited ground fixed cell for NTN communication; the method comprises the following steps: establishing an associated registration relationship with an NTN base station under the condition that the coverage range of the NTN base station in a mobile cell mode and the range of an anchor cell have an overlapping region; sending the first TAC and the first PCI of the anchor cell to the NTN base station based on the association registration relationship; the first TAC comprises a TAC of an anchor cell or a TAC of each overlapping sub-region; the overlapped sub-region is a sub-region corresponding to the overlapped region; the sub-regions are obtained by dividing the anchor point cell; the NTN base station is used for broadcasting the first PCI and the first TAC to the terminal in the overlapping area, and the first PCI and the first TAC are used for determining the location area of the terminal.

We provide a traffic management system, traffic management method, and traffic management program suitable for bus operations. [Solution] The operation management system includes: a setting unit that sets multiple location areas surrounded by multiple location information points in a continuous sequence in the direction of travel of the bus at the entrance and exit of a traffic facility where the bus is parked; an acquisition unit that acquires bus location information relating to the position of the bus running with a positioning sensor and bus time information relating to the time when the position is measured; a determination unit that determines whether the bus has passed through a location area based on the travel trajectory consisting of multiple bus positions recorded in the bus location information; and a recording unit that, if the determination unit determines that the bus has passed through a location area, records the bus's travel time based on the time recorded in the corresponding bus time information when the bus's position was measured.

The invention discloses a mobile ad hoc network route planning method and device based on LSTM node trajectory prediction, and the method comprises the steps: S1, adding mobile data containing the speed and position of a node into a Hello message, and periodically broadcasting the Hello message by each node in a mobile ad hoc network; s2, obtaining discrete mobile data of each node in the mobile ad hoc network through a Hello message, preprocessing the discrete mobile data, predicting the position of each node after a certain time period by using a trained LSTM model, and further obtaining position area data of a hop neighbor node of a local node within a certain time period; s3, based on the position prediction data of each node, a local node performs multi-point relay MPR selection in a one-hop neighbor node set by adopting a greedy algorithm; according to the method, while the balanced routing overhead is ensured, the data packet delivery rate is effectively improved, the average end-to-end delay is reduced, and the reliability requirement of the ad hoc network in the dynamic environment is met.

The present invention discloses a method for disassembling frames, assembling frames and transmitting data frames of the space-ground link for low-orbit satellite hopping beams, which relates to the adaptation technology between the link layer and the physical layer in the field of satellite communication. Aiming at the adaptation problem between the fixed-length carrier blocks in the downlink burst and the variable-length high-layer link frames in the application of low-orbit satellite hopping beams, the present invention proposes to form a high-layer data stream queue based on the location area and the station type. This data stream is disassembled into frames at the on-board base station modulator based on the virtual location area number and the virtual channel number of the physical layer, and assembled into frames after filtering out the burst fixed-length carriers of non-this location area and virtual channel at the ground terminal. This method can achieve a high transmission efficiency and reduce the processing difficulty at the modulation end of the on-board baseband platform. The present invention can be used in the design of disassembling and assembling frames of the downlink TDM carrier in the satellite communication system based on on-board processing.

The application provides a network element state management method and device, electronic equipment and a storage medium, wherein the method comprises: decoupling a service area in a to-be-processed satellite network from a preset satellite, and defining the service area as a geographical location area, wherein the service area in the to-be-processed satellite network is coupled with the preset satellite; determining a mobile network location state of the to-be-processed satellite network based on the geographical location area; hosting other states of the to-be-processed satellite network to a local user equipment to obtain a distributed local state library; running a state management process of key signaling of the to-be-processed satellite network based on the distributed local state library; and obtaining a stateless space-ground integrated mobile network based on the mobile network location state, the distributed local state library and the state management process, wherein the stateless space-ground integrated mobile network is a network composed of satellites and ground networks without state migration. The application can avoid signaling storm.

The present application relates to a method, device and equipment for generating chassis stop points in compound robot operations, the method comprising: obtaining a location area where the compound robot's operation object is located; determining a set of candidate chassis stop points of the compound robot based on the location area; determining the coverage rate, operation time and operability of the compound robot when it is located at each of the initial candidate stop points; and determining a target stop point for the compound robot to complete the operation on the operation object based on at least one condition of the coverage rate, operation time and operability of each of the initial candidate stop points, thereby improving the deployment efficiency of the compound robot's chassis stop points.

Range finding devices and target object management systems each having one or more features that enhance their functionality. In some embodiments, a disclosed range finding device includes a target object location area calculation unit that defines near and far edges and side edges of a target location area. In some embodiments, a disclosed range finding device is a passive range finding device that inserts a scale marker into an output image, varies the size of the scale marker in response to user actuation of a scale input, and determines the size of the scale marker and an estimated range to a target object. In some embodiments, a disclosed target object management system includes a processing unit operable to manage new location records for existing and new target objects via target object registers. Other embodiments are disclosed, as are corresponding methods and software.

The present application provides a dynamic attendance information flow method and an attendance system, wherein the attendance system can automatically determine a reference sign-out location and a reference sign-out time in advance based on the user's pre-entered and approved single-day business trip application information within the city, and display them explicitly in the sign-out reminder area of ​​the dedicated business trip sign-out page, eliminating the need for the user to manually set the off-site sign-out reference location and off-site sign-out reference time for business trip sign-out. This can effectively improve the accuracy, timeliness, and intelligence of the sign-out condition processing and activation when the system supports the off-site sign-out function, and, by comparing the explicit information with the first system current location in the sign-out location area and the first system current time in the sign-out time area of ​​the off-site sign-out page, and responding to the user's off-site sign-out submission operation according to the comparison result, improve the intelligence and accuracy of the sign-out compliance processing when the system supports the off-site sign-out function.

In one embodiment, a method executed by at least one processor includes receiving first historical location information identifying a first location area at which a first user was present at a first time and receiving second location information identifying a second location area at which a second user was present at a second time. The method includes determining that the first historical location information and the second location information each correspond to a particular location area and determining that a characteristic related to the first user corresponds to a preference related to the second user. In response to these determinations, the method includes causing information related to the first user to be presented to the second user. The information related to the first user includes the first location area of the first user relative to the second location area of the second user.

A map construction method and a related device, which can be used in the field of intelligent driving in the field of artificial intelligence. The method comprises: a first device acquires first information, wherein the first information comprises first voice information for describing a first location area (i.e., a geographic location area), and the first voice information is inputted by a user; and inputting the first information into a machine learning model to obtain first map information of the first location area generated by the machine learning model. That is, another map information acquisition method is provided. Additionally, personalized map information generated by the machine learning model for the user on the basis of the voice information inputted by the user is conducive to meeting more diverse requirements of users on map information, thereby improving the user viscosity of the present solution.

1. Name of the product in this design: Graphical User Interface for Displaying Test Results in Electronic Equipment. 2. Intended use of this design: for use in an electronic device. 3. The key design features of this product are the graphical user interface displayed in the electronic device. 4. The image or photo that best illustrates the design points: Design 1 Interface Change State Diagram 1. 5. The hardware design is a conventional design, omitting the rear view, left view, right view, top view, and bottom view. 6. Design 1 is designated as the basic design. 7. Purpose of the graphical user interface: This graphical user interface is used to display and locate detection results, etc. Design 1's main view is the primary interface, with a circular icon control with a lightning shield displayed in the upper right corner. Design 1's interface change state diagram 1 shows the interface state obtained after clicking the circular icon control in the main view of Design 1, with multiple "location" controls displayed at the bottom of the interface. Design 1's interface change state diagram 2 shows the interface state obtained after clicking any of the "location" controls in Design 1's interface change state diagram 1, which highlights the corresponding location area on the 3D terrain map. Design 2's main view serves as the primary interface. Design 3 uses the main view as the primary interface to display the detection results. The main view of the design is the first interface, used to display the location results of the detection results. The map background (i.e., the three-dimensional topographic map background) in Designs 1 to 4 does not constitute part of the claimed design, and it represents the area as the content screen. The areas (i.e., multiple positioning areas) obscured by color blocks within the background of the three-dimensional topographic map in Designs 1 to 4 do not constitute part of the protected appearance design, and the areas referred to therein are content images.

This application relates to a positioning method and system based on multi-source fusion communication. The method first determines whether the target object has entered an indoor area using RTK and Bluetooth location data associated with it. If the target object is detected as having entered an indoor area, coarse positioning is performed using the Bluetooth location data associated with it to quickly determine the estimated location area of ​​the target object. Then, based on the estimated location area and the set coordinates of UWB beacons, at least three target UWB beacons are powered on and establish communication with the target object for high-precision positioning, thereby obtaining the precise location coordinates of the target object. Using this positioning method, the UWB beacons enter a sleep state when positioning is not needed to save energy. When positioning is required, the UWB beacons are woken up to perform the positioning operation, which reduces the number of UWB beacons operating simultaneously during high-precision indoor positioning, thereby reducing the overall power consumption of UWB beacons in the indoor area and extending battery life.

Aspects of the present disclosure relate to techniques for session management signaling supported by partial network slices in a registration area. An apparatus (800) is configured to: receive a first session management (SM) message for a protocol data unit (PDU) session associated with a network slice and a user equipment (UE); determining that the network slice is not supported or unavailable in a location area of the UE; and transmitting a second SM message and an indication that the network slice is not supported or unavailable in the location area of the UE.

The invention relates to a method for locating user equipment relative to a motor vehicle, comprising the steps performed iteratively, when the user is moving, of determining (E2, F2) the so-called "inter-object" distance between an ultra-wideband communication module of the vehicle and the user equipment, of calculating (E6, F5) the so-called "inter-step" distance taken by the user between two consecutive steps from the measured acceleration and orientation values, and of cross-referencing (E7, F6) the determined inter-object distance and the calculated inter-step distance in order to determine at least one probable location area of the user equipment, the iterations ending when a single probable location area of the user equipment whose surface area is less than a predefined surface area has been determined,said unique probable location area then corresponding to the location of the user equipment around the vehicle. Figure for the abstract: Figure 1,

The invention provides a plane parking space state recognition method and system based on deep learning. The plane parking space state recognition method comprises the steps that an overall image of a parking space area is collected in real time; an improved YOLOv11 target detection algorithm is adopted to identify the overall image of the storage location area, an image containing storage location angle information is obtained, and the improved YOLOv11 target detection algorithm introduces multi-dimensional dynamic convolution in the feature extraction network; carrying out centroid coordinate calculation on the image containing the storage location angle information through an adaptive denoising centroid positioning algorithm to generate a centroid coordinate point set, and inputting the centroid coordinate point set into a grid type storage location construction algorithm to generate a storage location layout; and according to the storage location layout, obtaining a corresponding storage location area local image in real time, and performing state recognition on the storage location area local image through an image classification algorithm to obtain storage location state information. According to the invention, through integration of deep learning and a target detection algorithm, the storage location angle and the mass center are automatically extracted, the identification accuracy can be improved, and the cost is reduced.

The disclosure relates to a method for warehouse storage-location monitoring, a computer device, and a storage medium. The method includes the following. Video data of a warehouse storage-location area is obtained, and a target image corresponding to the warehouse storage-location area is obtained based on the video data, where the warehouse storage-location area includes an area of a storage-location and an area around the storage-location. The target image is detected based on a category detection model, to determine a category of each object appearing in the target image. A detection result is obtained by detecting a status of each object based on the category of each object. The detection result is transmitted to a warehouse scheduling system, where the detection result is used for the warehouse scheduling system to monitor the warehouse storage-location area.