169 results about "Hotspot (Wi-Fi)" patented technology

This application provides a strategy scheduling method, system, electronic device, and storage medium that combines method-level strategy encapsulation with pre-compiled execution, relating to the fields of software architecture and runtime scheduling optimization. The method encapsulates multiple strategy methods with the same predefined commonalities within each strategy category using a small number of methods, changing "class-level" encapsulation to "method-level" encapsulation to reduce the number of strategy classes at the source. It optimizes calls by replacing traditional reflection calls with pre-compiled execution handles and constructs a hierarchical concurrent caching structure, designing a concurrent index layer and a hotspot caching layer. High-frequency strategies are directly retrieved from the hotspot caching layer, and all strategies are distributed across the two caching layers to reduce hash collisions. A hotspot update mechanism maintains the caching of high-frequency strategies in the hotspot caching layer, improving retrieval and scheduling efficiency under high concurrency. Compared to traditional class-level strategy implementation schemes, this method achieves significant performance and resource optimization in scenarios with a large number of strategies and high concurrency scheduling.

This invention relates to the field of multi-source data processing technology, specifically disclosing a data governance method and system for multi-source heterogeneous data fusion. The method includes receiving unstructured data fed back by a data acquisition agent, performing virtual mapping on the unstructured data, recursively adjusting the access parameters corresponding to the data source node, and generating simulation data based on the virtual mapping when a data source node experiences a data upload anomaly. It also includes receiving data increment density and data hotspot distribution fed back by the data acquisition agent, planning the scheduling path of the unstructured data parsing end based on the data hotspot distribution, and receiving the parsing results fed back by the parsing end. This invention acquires unstructured data by deploying edge nodes, identifies the unstructured data, constructs a data domain model, synchronously determines the data state of the unstructured data, marks hotspot areas in the data domain model, and then determines the parsing order, enabling important data to be parsed faster.

This application discloses a communication device and a data transmission method. The communication device includes a wireless communication module and a processor. The wireless communication module is used to transmit or receive multiple wireless signals and provide a hotspot. The wireless communication module receives a connection request from a peer communication device to connect to the hotspot, and establishes a wireless connection with the peer communication device in response to the connection request. The processor is coupled to the wireless communication module and controls the operation of the communication device. After the wireless connection is successfully established, the processor uses a forced entry mechanism to transmit download link information to the peer communication device through the wireless communication module, and in response to a download request received from the peer communication device, the processor transmits predetermined data to the peer communication device through the wireless communication module.

The application discloses a kind of encryption control information nonlinear mapping methods based on chip self-heating, it is related to chip circuit's encryption information nonlinear mapping technical field, comprising: chip is divided into several physical area blocks according to two-dimensional matrix form, each physical area block is correspondingly provided with a hotspot unit and a network node, each physical area block corresponds different data representation;Each network node is numbered in disorder;Each array of heat intensity control information obtained according to encryption control information is transmitted to each corresponding network node;For a certain network node, the heat intensity control information received is transmitted to the corresponding hotspot unit, and the hotspot unit generates heat;According to the thermal imaging of chip and the data representation corresponding to each physical area block of chip, the nonlinear mapping result of encryption control information is obtained.The application improves the effectiveness of information mapping, better protects the transmission process of control information, and improves the security of information mapping.

This invention discloses a task scheduling method and system based on an ITSM platform, belonging to the field of IT service management technology. The method includes the following steps: acquiring an available execution node cluster; collecting task execution records of nodes within a second scheduling set to generate a true performance baseline; performing periodic node rotation operations between the first and second scheduling sets based on historical execution data and the true performance baseline; calibrating the historical execution data of the first scheduling set; monitoring the real-time load distribution of the first scheduling set to trigger emergency node rotation operations; performing emergency node rotation operations and resetting historical data for nodes that have undergone rotation; and updating the initial node quantity ratio. This invention solves the problems of hotspot solidification, self-fulfilling oracle, and cluster resource utilization imbalance caused by historical affinity bias in existing technologies by dividing execution nodes into a first scheduling set and a second scheduling set.

This application provides a method, apparatus, medium, and electronic device for an in-vehicle system to access the Internet. After determining a priority management mode, this application obtains the mobile resource information of multiple mobile terminals registered in the vehicle, each associated with the priority management mode. If the mobile resource information of one of the multiple mobile terminals meets the preset priority network conditions associated with the priority management mode, then it is determined that this mobile terminal can provide hotspot service to the in-vehicle system. An access request for Internet access is sent to this mobile terminal so that the in-vehicle system can access the Internet through the hotspot of this mobile terminal. This automatically selects a mobile terminal from multiple mobile terminals that meets the user's Internet access needs, avoiding arbitrary selection, improving selection accuracy, realizing intelligent management of the in-vehicle system's Internet access, ensuring the effectiveness of the in-vehicle system's Internet access, and improving the user experience.

The application provides a positioning method, device, system, electronic equipment and storage medium, and relates to the technical field of communication. The method comprises the following steps: acquiring mobile information of a plurality of wireless local area network hotspots; determining Doppler shift information according to communication channel information between the base station; screening the plurality of wireless local area network hotspots according to the Doppler shift information and the mobile information of the wireless local area network hotspots, and obtaining a plurality of stationary hotspots; and determining the position information of the current device according to the plurality of stationary hotspots. The high-precision positioning requirement of the user is met, the position information of the current device is obtained in time and accurately, and the use experience of the user is improved.

This application relates to the field of mobile phone accessory technology, and in particular to a WIFI phone case that supports module rotation. It includes a case for housing a mobile phone, the case being composed of a back panel and a frame. A functional platform is fixed to the side of the back panel away from the frame. The functional platform extends along the length of the case and has a first groove and a second groove respectively formed from top to bottom. An NFC tag for pairing with a functional module is embedded in the bottom of the first groove. A main control chip and a WIFI module are disposed in the second groove. The WIFI module communicates with the main control chip via an I / O port. When the user embeds the functional module into the first groove, the built-in NFC tag is read by the mobile phone, which automatically parses the module type and loads the driver, thereby triggering a preset function mode. The WIFI module in the second groove communicates with the main control chip via the I / O port to provide a hotspot network for the mobile phone. This application features improved compatibility of phone case modules.

The application relates to the technical field of computation, and provides a CFD solution acceleration method and system based on parallel computation and load dynamic balancing. Physical characteristic quantities such as CFL numbers and residuals are quantified as load indexes, so that load balancing decisions are closely coupled with flow field evolution rules. By using an asynchronous communication overlap framework which is deeply coupled with a CFD solver, blocked communication waiting time is converted into effective calculation time, and communication delay is systematically hidden. Based on a real-time load evaluation incremental grid migration strategy, high-load grid blocks in hotspot processes can be intelligently identified and migrated, and differentiated and efficient use of computing power is realized.

The application discloses a data storage method and device, which can store data corresponding to a row key in a data table in an original partition according to a preset original correspondence between the row key and the original partition, and in the case that a data re-storage request of the data table is received, distribute data access or storage pressure of one partition to multiple partitions by migrating data to be adjusted stored in the partition to other partitions, so as to relieve a data hotspot problem. In addition, after data re-storage, the application modifies the correspondence between the row key of the data to be adjusted and the original partition in the original correspondence to the correspondence between the row key of the data to be adjusted and a target partition, so that the partition to which the data to be searched belongs can be determined according to the modified original correspondence in subsequent data searching.

The present application belongs to the field of vehicle-mounted, and relates to a wireless debugging method and device for a vehicle-mounted terminal, computer equipment and a storage medium. The method comprises the following steps: obtaining SSH source code, integrating an executable program generated from the SSH source code into the vehicle-mounted terminal; authorizing and configuring the running and closing of the SSH executable program; authorizing the vehicle-mounted terminal to run the SSH executable program; opening a vehicle terminal hotspot of the vehicle-mounted terminal; debugging the vehicle-mounted terminal through an external electronic device connected to the vehicle terminal via the vehicle terminal hotspot; and when the debugging is completed, authorizing the vehicle-mounted terminal to stop running the SSH executable program. The method improves the debugging efficiency, enhances the system security, simplifies the operation process, and ensures the stable operation of the vehicle-mounted terminal. The embedded software can be wirelessly connected and debugged during the debugging stage to facilitate problem troubleshooting and effective encryption protection. Even when the upgrade cannot be realized after the sale, the terminal can be wirelessly entered at any time for upgrade, and the customer does not need to wait for a long time.

The application discloses a channel distribution scheduling management method and system for IPTV live broadcast service, relates to the technical field of IT and software development, and aims to solve the problem that IPTV live broadcast service application mainly includes different application scenarios such as live broadcast unicast, live broadcast time shift, live broadcast review, and the number of access channels based on different province live broadcast sources is more than 300 channels, and the number of channels is relatively large, so that higher requirements are needed for storage system capacity, read-write IO ability and program saving redundancy security strategy, technical solution points are as follows: S1: intelligent channel distribution management, live broadcast cache flow service nodes realize multi-node channel access distribution management based on an intelligent channel distribution management mechanism, S2: accurate scheduling of terminal service request, accurate scheduling redirection mechanism is combined with different node associated different channel list configuration, and it is guaranteed that terminal request supports hotspot channel service service direct response to any live broadcast cache flow service node. The effect of reducing end-to-end network data transmission and reducing transmission delay is achieved.

This application provides a message queue-based transaction execution method, apparatus, and system. The method includes, upon receiving a transaction request from a requester, determining whether the requester is a "hotspot requester," where a hotspot requester is one whose transaction frequency exceeds a preset frequency threshold; if the requester is a hotspot requester, storing the transaction request in a register, where the register is a table recording transaction requests; generating temporary information and sending the temporary information to the requester, where the temporary information indicates temporary successful transaction execution; and using message queue technology to process the transaction requests in the register until all transaction requests in the register have been executed. This method solves the problem of slow response time and poor user experience in existing technologies when dealing with large database transaction volumes.

The application relates to the technical field of data processing, and discloses a network public opinion hotspot evaluation system based on sentiment analysis, which comprises the following modules: a data analysis module, which is used for receiving an interactive flow extraction identifier and text and calculating a basic sentiment polarity value; a window control module, which outputs a current time window span based on a topological entropy gradient of a previous period; a topological layering module, which constructs a local directed graph to calculate a global topological entropy, and takes a shortest path hop count as a topological depth; a polarization rate calculation module, which allocates and calculates a variance of the polarity value according to the topological depth and outputs a sentiment polarization rate; and a comprehensive evaluation module, which combines a word frequency, the sentiment polarization rate and an activation function to output a comprehensive hotness evaluation value. The application adaptively adjusts data truncation according to network public opinion fluctuation, prevents feature dilution through spatial layering sentiment analysis, and automatically peels off abnormal concurrent flow based on a topological base, so that the hotspot evaluation is real and objective.

This invention discloses a digital twin multi-field coupled sodium mobile power station air-cooled thermal management system and control method, belonging to the field of electrochemical energy storage thermal management. Addressing the problems of easy leakage in liquid cooling schemes and the inability of traditional air cooling to adapt to deformation under vibration conditions in mobile power stations, this invention proposes using sodium-ion batteries without configuring liquid cooling pipelines. A reduced-order digital twin model based on intrinsic orthogonal decomposition and Galerkin projection is constructed to reconstruct the flow and temperature fields in real time. Microscopic deformation of the air duct is estimated using an inertial measurement unit and extended Kalman filter, combined with Grassmann manifold interpolation for online compensation of the model. A physically constrained LSTM-XGBoost hybrid model is used to predict hotspots, and model predictive control is employed to collaboratively optimize multi-zone variable frequency fans, active air guide louvers, and dynamic spoilers. This invention achieves efficient temperature control and thermal safety early warning for the air-cooled system under vibration conditions, improves temperature consistency, and reduces system complexity and maintenance costs.

The application relates to a method and system for Hudi asynchronous compression based on hotspot prediction, which comprises the following steps: step one, inputting original data into a lake and inputting data after an update operation into the lake; step two, obtaining a data set after the data is input into the lake; step three, based on the obtained timestamp and the number of data operations, a trained LSTM model is used to predict a hotspot time period and a non-hotspot time period; and step four, based on the predicted hotspot time period and the non-hotspot time period output by the trained LSTM model, data asynchronous compression is performed. The application considers both improving query efficiency and obtaining newer data. The problem that synchronous compression of the MOR table by default causes waste of computing resources is solved, so that the load balancing of computing resources is realized, and the resource utilization rate is improved.

This invention discloses a computing power multiplication pre-storage system, method, and embedded device, belonging to the field of computing architecture and data reuse technology. Addressing the problems of redundant repetitive computation, conflict risks and irreparable damage in data integrity verification, and inefficient request-response modes in existing technologies, this invention proposes a closed-loop "pre-storage-reuse-verification" system. The system includes: a hotspot identification and adaptive pre-storage module, used to identify high-frequency computing tasks, dynamically adjust the pre-storage range, and automatically eliminate low-frequency data, achieving self-evolution and convergence of the data set; a multi-level trusted caching module, adopting a layered storage architecture to achieve layered management of data value, and possessing automatic backfilling between layers, periodic consistency verification, and automatic repair mechanisms; a mathematically based integrity verification module, configuring corresponding differential or recursive verification logic for a wide range of computing tasks, from basic data types and various mathematical functions to operational operators, providing a zero-conflict, reversible, and repairable lightweight data verification and restoration method; and an asynchronous push processing engine, which immediately returns after receiving a request, submitting the computing task to a background lock-free queue for batch processing, achieving decoupling between computation and requests. This invention pioneers the deep integration of differential verification and computation acceleration, reconstructing the traditional "request-computation-response" logic into a "pre-store-query-retrieve" push-pull interaction logic. By reusing repeated calculations through module collaboration, it not only significantly reduces computation latency, but more importantly, it improves the effective utilization of computing power, greatly saves hardware resources and energy consumption, and ensures data credibility and integrity. It is applicable to fields such as artificial intelligence, scientific computing, engineering simulation, financial technology, and video processing.

The application provides a spatial query performance optimization method in a geographic information system, and belongs to the technical field of geographic information systems.The application adopts three-dimensional Hilbert space-time filling curve coding and memory level columnar storage format to maintain the locality of space-time data and reduce invalid memory loading, introduces a consistent hash and adaptive space grid dynamic partitioning load balancing strategy to migrate hotspot tiles to idle nodes, adaptively distributes query requests based on a deep Q network artificial intelligence space-time load routing decision model, and dynamically adjusts the strategy update mode through an adaptive exploration rate adjustment function, triggers a repartitioning process when the query response delay exceeds a threshold, and performs garbage collection on a low-frequency version chain, thereby solving the technical problem that the spatial query performance of the geographic information system rapidly decreases with the increase of the data scale in a high-concurrency streaming spatial data input scene.

This invention relates to the field of switchgear technology, and provides a switchgear hotspot analysis method, heat dissipation design method, and electronic device, including: calculating the fitness of each sample individual based on an objective function, storing them in a database in descending order, wherein the objective function is set based on the hotspot temperature of the switchgear; and sorting the top N... P Using sample individuals as the parent population, a child population is generated based on an improved mountain gazelle optimizer, an incremental kriging model, and the parent population. The improved mountain gazelle optimizer generates the child population based on a sinusoidal scaling factor and an adaptive distribution. The optimal candidate individuals in the child population are determined based on the incremental kriging model and the expected improvement criterion, and the evaluation count is incremented by one. When the maximum number of evaluations is reached, the optimal solution for the objective variable is determined based on the corresponding optimal candidate individuals, which is used to determine the optimal location of the heat dissipation components. This approach addresses the difficulty in balancing accuracy and efficiency when performing hotspot analysis on switchgear in related technologies.

The embodiment of the present disclosure discloses a method for determining the optimal placement orientation of a terminal device, relates to the technical field of wireless communication, and comprises the following steps: acquiring the current multiple-input multiple-output rank value of a target communication link between a terminal device and a target connection device. When the rank value is less than a rank value threshold, a user is guided to intervene in changing the terminal orientation by outputting prompt information. In this process, the new multiple-input multiple-output rank value after each orientation change is determined, and finally the optimal multiple-input multiple-output rank value is screened from the at least one multiple-input multiple-output rank value, so that the orientation corresponding to the optimal multiple-input multiple-output rank value is established as the target placement orientation. By directly optimizing the spatial orientation of the terminal device, which is a fundamental factor affecting the channel matrix, it is ensured that the optimal MIMO performance can be obtained at the current physical location, and the throughput rate of the terminal device as a hotspot is effectively improved.

This application relates to a method and system for IGBT hotspot identification based on transient thermal resistance curves, belonging to the field of IGBT thermal monitoring technology. The method includes: loading the junction-shell transient thermal resistance curve from the datasheet to construct a fractional-order thermal network model containing equivalent thermal resistance, thermal capacity, and fractional order; obtaining model parameters through parameter identification; real-time acquisition of electrical quantities and temperature to calculate power loss; substituting the power loss into the fractional-order differential equation to solve for the junction-shell temperature difference, and combining this with the operating temperature to obtain a real-time estimated junction temperature; and identifying hotspots based on the estimated junction temperature to obtain hotspot status information. This method achieves a complete closed loop from offline modeling and parameter identification to real-time junction temperature monitoring and hotspot identification. This application solves the problems of low reliability of a single junction temperature criterion and the inability to distinguish the location of thermal aging in the chip layer, solder layer, and substrate layer in IGBT thermal monitoring.

The application discloses a trajectory coverage sensor layout method based on layered deep reinforcement learning, comprising the following steps: constructing a trajectory dataset of a target area and a sensor deployment constraint model, including a deployable area, a minimum spacing constraint and a coverage criterion; decomposing a global layout task into two levels of hotspot center selection and local offset optimization: in the high-level strategy, the global trajectory density is analyzed based on environment observation, and a soft actor-critic algorithm is used to generate hotspot center instructions; in the low-level strategy, a continuous action optimization method with a mixed density network and a Gumbel-Softmax selector is used to solve the multi-modal of the sensor offset in each hotspot. The application introduces a random network distillation module at the high and low levels, and through a cross-layer reward injection mechanism, the high-level strategy can be adaptively updated according to the actual coverage gain of the low level, so as to improve the coordination and convergence efficiency of the overall layout.

This application provides a data storage method, apparatus, and business system across an HBase cluster. The method includes: upon receiving a data upload message, obtaining the location information, first time information, and first identification information of the data to be stored; encoding the location information, first time information, and first identification information to obtain an index number, which uniquely identifies the data to be stored; reversing the index number to obtain the row key value of the data to be stored; and storing the data to be stored in a first target partition on a target server according to the row key value. The first target partition is the storage partition corresponding to the byte of the first identification information in the row key value, and the byte order of the row key value and the index number is reversed. This method solves the problem in existing technologies where storing files sequentially in the same area causes hotspot phenomena and reduces data storage speed.

The present application relates to artificial intelligence technology, disclose a kind of hot video segment identification method, comprising: using pre-trained graphic-text matching model, extract the video feature of each video segment and the text feature of each barrage text, in turn select a barrage text as a text to be matched, the initial video segment corresponding to the text to be matched and the video segment in the preset adjacent range are taken as the video segment set to be matched, the similarity between the text feature of the text to be matched and the video feature corresponding to the video segment set to be matched is calculated, the video segment that meets the preset similarity condition is selected as the matching video segment of the text to be matched, the barrage text after graphic-text matching is classified, according to the number of barrage text in each classification, the hot degree of video segment in the corresponding classification is calculated, and the hot video is determined according to the hot degree.The present application also proposes a kind of hot video segment identification device, equipment and medium.The present application can improve the accuracy of hot video segment identification in medical related video.

The application relates to a hotspot public opinion monitoring method and device, electronic equipment and a storage medium, and is applied to the technical field of computers. The method comprises the following steps: obtaining to-be-monitored public opinion data, wherein the to-be-monitored public opinion data comprises public opinion elements and public opinion content, and the public opinion elements comprise key attribute information for describing the to-be-monitored public opinion data; target public opinion data satisfying a preset hotspot screening condition is screened from the to-be-monitored public opinion data; a public opinion heat influence parameter of the target public opinion data is determined according to the public opinion elements and the public opinion content, the public opinion heat influence parameter is used for representing the influence degree of the target public opinion data on public opinion heat; a hotspot index is determined based on the public opinion heat influence parameter of the target public opinion data, the hotspot index is used for representing the heat of the public opinion indicated by the target public opinion data; and in the case that the hotspot index is greater than a preset index threshold, an early warning information is generated.

This invention relates to the field of transformer condition monitoring technology, specifically a transformer condition monitoring and protection system utilizing a wireless sensor network. The system includes a sensor optimization deployment module for determining the optimal physical installation location of each wireless sensor node within the wireless sensor network based on thermal imaging analysis of the transformer; and a data acquisition module for collecting transformer condition data through multiple wireless sensor nodes deployed at the optimal physical installation locations. This condition data includes at least temperature data, vibration data, and electrical parameter data. This invention obtains a continuous temperature change map of the transformer through thermal imaging analysis and employs algorithms for calculating the deflection angle and distance. Using the hotspot area with the largest temperature change rate as a benchmark, and combining this with the physical offset of the thermal field propagation, the optimal sensor installation location is calculated, overcoming the shortcomings of traditional manual sensor placement that relies on experience.

The application provides a hotspot event detection method and device, the method comprises the following steps: obtaining at least one time series data stream containing multi-time period text data; extracting keywords of the text data of each time period of the time series data stream to obtain a plurality of keywords and form a keyword set of each time period; obtaining two semantic vectors and their correlation values corresponding to any two keyword pairs appearing in the same text in the set; taking the semantic vectors as nodes, determining the weight values of the edges based on the correlation values of the two semantic vectors, constructing a keyword network graph of the corresponding time period based on the weight values of the nodes and the edges, and forming a time series network graph from the keyword network graphs of the multi-time periods; iteratively updating the weight values of the nodes and the corresponding edges based on the neighborhood nodes of each node in the time series network graph; clustering the nodes in the updated time series network graph to obtain at least one time series sub-network graph representing a hotspot event and its development under a specified event theme, and realizing the identification of at least one hotspot event.

The application discloses a kind of quick fatigue analysis systems based on eye movement data, belong to fatigue monitoring and analysis field, including: data acquisition module, for obtaining the eye movement flight data and eye movement hotspot map of pilot, and the eye movement hotspot map is pre-processed with addition;Data screening module, based on the hotspot map of pre-processed with addition, using deep convolution generation counterwork network and width learning system to construct final simulation database;Fatigue judgment module, for the final simulation database and the pre-processed hotspot map of standard pilot with addition are input into FBLS-BLS network to obtain fatigue degree classification result;Result output module, for fatigue degree classification result is valued to obtain fatigue degree score, and according to fatigue degree score trigger warning.The application can dynamically adjust model parameters according to new input data to maintain network optimization, so as to realize real-time fatigue diagnosis.

The application provides a cross-camera video recommendation method and device, electronic equipment and computer program product, and relates to the technical field of video monitoring. The method comprises the following steps: constructing a pedestrian route network according to cross-camera pedestrian re-identification records of all monitoring device nodes in a monitoring platform; calculating the propagation efficiency value of each monitoring device node by using a pre-constructed node propagation efficiency algorithm model based on the pedestrian route network; determining a monitoring device node whose propagation efficiency value meets a preset first condition as a key monitoring device node of the monitoring platform; and performing a hotspot area real-time monitoring strategy on the key monitoring device node. The embodiments of the application can automatically identify the key areas of the current monitoring platform through an algorithm, so as to dynamically recommend real-time hotspot videos for these key areas, and thus effectively improve the real-time performance and accuracy of hotspot video selection in a cross-camera monitoring scene.

This invention discloses a photovoltaic panel infrared hotspot detection method based on an improved RT-DETR and feature enhancement, belonging to the interdisciplinary field of intelligent operation and maintenance technology for photovoltaic systems. The method includes constructing and training an improved RT-DETR model, acquiring a dataset of photovoltaic panel infrared images, preprocessing the images, inputting the preprocessed images into the trained improved RT-DETR model, and outputting the detection results of hotspot defects. This invention optimizes the attention structure, activation function, and loss function of the backbone network on RT-DETR, proposing several modular improvements based on RT-DETR. It demonstrates good performance in real-time applications and accuracy, significantly improving the accuracy and robustness of hotspot detection.