46results about How to "Guarantee data security" patented technology

The application discloses a screen projection method, device and system, electronic equipment and a storage medium. The screen projection method comprises the following steps: receiving a broadcast signal; analyzing the broadcast signal to obtain screen projection information; judging whether to display a screen projection request prompt based on the screen projection information; if it is judged to display the screen projection request prompt, the screen projection request prompt is displayed; and in response to a confirmation operation of the user agreeing to the screen projection request prompt, a screen projection operation is performed. The application triggers the screen projection operation by the screen projection end, specifically, the broadcast signal sent by the screen projection end is received, and the screen projection operation is performed according to the screen projection information carried in the broadcast signal, so that the user does not need to search for the screen projection end on the screen projection end, the operation is convenient, the error rate of the screen projection connection is reduced, and the user experience is improved.

The present application belongs to the technical field of electrocardiosignal data processing, and discloses an electrocardio rhythm feature recognition data processing method, system, medium and program product, which comprises double verification of heartbeat quantity and ventricular premature beat proportion on acquired electrocardio feature data; generation of an instantaneous heart rate sequence, dynamic determination of a total number of bins and a heart rate step, mapping to obtain a symbol array and constructing a word sequence; calculation of Shannon information entropy and P wave disappearance probability; determination of a Shannon information entropy threshold and a P wave disappearance probability threshold, combined feature joint classification matching of the Shannon information entropy and the P wave disappearance probability, and output of a final electrocardio rhythm feature classification label result. The present application solves the problems of insufficient anti-interference ability and dependence on long-range signals in electrocardio data processing of portable devices, and realizes accurate identification of target irregular electrocardio rhythm features in complex environments without long-range signals on the basis of retaining the portability of the devices, thereby better adapting to instant data screening scenes of various terminal devices.

The application discloses a kind of machine learning model inference and forget request collaborative processing method, machine learning online service provider is updated model in real time in background based on forget request, and robustness detection is carried out to user inference request, service scheduling is carried out according to detection result, to realize faster response speed.The method comprises the following steps:1) sub-model training: split data set and train multiple sub-models with independent inference ability and online service;2) forget request processing: corresponding sub-model is updated in real time based on forget request received during service;3) inference request response: high robustness inference request is responded preferentially, and low robustness request is responded based on new model after model is completed updating.The application first proposes the collaborative processing method of multiple requests in the online service scene of machine learning, while guaranteeing privacy and correctness, higher response speed is realized, which is superior to existing method, with the advantages of strong universality, easy to deploy and the like.

This application provides a hard disk isolation method, apparatus, electronic device, and storage medium. In this application, by first determining the pool state of the hard disk pool to which the hard disk to be detected belongs, then detecting whether the hard disk pool is in a steady state, and finally combining the isolation determination method based on fault redundancy type and the number of abnormal devices, the problem of low isolation efficiency caused by repeated isolation determinations triggered by reliance on PG status can be effectively avoided in existing methods. This improves isolation efficiency and minimizes the impact on hard disk-related services.

The invention belongs to the technical field of air-ground cooperative rescue, and discloses a mooring type unmanned aerial vehicle disaster relief system and a working method.The mooring type unmanned aerial vehicle disaster relief system comprises the steps that stable hovering in a complex environment is achieved through an unmanned aerial vehicle by means of a hovering module, releasing and recycling of a robot are accurately controlled through a winch mechanism, and a guiding bin and a UWB recycling positioning sensor are combined; it is ensured that the robot recovery alignment deviation does not exceed a preset threshold value, and the robot delivery and recovery problems are solved; the snakelike robot has excellent complex ruin gap adaptability by means of a multi-section joint structure and multi-sensor fusion, environment data and survivor information are accurately collected, and search and rescue accuracy is improved; the emergency module is used for realizing automatic return flight of the unmanned aerial vehicle, inertial navigation return of the robot or extreme power-saving rescue waiting for faults such as mooring disconnection and signal loss, and the data cache is used for automatically storing key task data, so that task continuity and data safety are guaranteed, and the search and rescue efficiency and reliability in extreme disaster scenes are greatly improved on the whole.

This invention discloses a personalized AI avatar construction and group digital experience asset inheritance system based on a private data domain, relating to the fields of artificial intelligence and digital asset management. This invention uses a user-isolated private data domain as its operating platform to construct a personalized AI avatar that highly matches the user's personality, thinking, and behavioral habits for an individual user or corresponding group. Through continuous collection and structured processing of user interaction and decision-making data, it accumulates storable, iterative, and transferable digital experience assets within the group. The system supports the authorized integration and scheduling of external compliant experience assets under secure isolation, and employs a dual-drive engine of "general knowledge + personalized experience" for intelligent decision-making and scenario-based responses. Based on anticipating potential user needs, it outputs decision references and adaptive services, while relying on the private data domain to achieve end-to-end data isolation, encrypted storage, and controllable permissions. This invention effectively solves the technical problems of insufficient personalization in existing AI avatars, the inability to scalably inherit digital experience, and the single, passive interaction mode. It can be widely applied to scenarios such as personal intelligent assistants, family management, team collaboration, experience inheritance, and digital experience circulation, demonstrating strong technological innovation and rich application scenarios.

The application discloses a multi-source education data attribution analysis system and method based on a large model Function Call, and belongs to the technical field of computers. The system comprises: a multi-source data access module for constructing a unified education data warehouse; an intelligent semantic routing module for identity recognition and intent analysis; a function registration and execution module for triggering atomized analysis functions; and a comprehensive attribution analysis module for generating an attribution report in combination with a knowledge base. The method comprises the following steps: accessing multi-source education data and preprocessing, guiding the large model to identify the intent by using the prompt engineering, outputting a structured instruction to trigger the function call, and finally performing causal reasoning. The application realizes the deep fusion and accurate attribution of multi-source education data, reduces the interaction threshold, and provides a scientific basis for teaching decisions.

This invention provides a campus hardware and software integrated management method and system supporting remote operation via mobile devices. It collects status parameters and business data from heterogeneous devices in the campus teaching, security, and logistics domains, synchronizes them with a hybrid clock, and pushes them to a campus digital twin virtual model incorporating geographic information, achieving full-domain resource virtual-real mapping and 3D visualization. A sliding time window combined with a business weight correction mechanism is used to determine adaptive warning thresholds and cross-device linkage strategies based on device operating time and business scenarios. Mobile devices access the system via an end-to-end encrypted link, enabling remote hierarchical handling based on dynamic hierarchical permissions. Hierarchical warnings are generated when a single parameter exceeds limits or multi-dimensional correlation anomalies are detected. If remote handling is ineffective, maintenance work orders are automatically generated and resources are intelligently scheduled, forming a closed-loop management process. This solution breaks down campus hardware and software data silos, enabling deep mobile control and intelligent operation and maintenance, significantly improving campus management efficiency and emergency response capabilities.

This application provides a component-centric isolation and sharing device and its operating method based on containerized encapsulation. The device includes a component encapsulation and registration center for building and registering container images; a containerized runtime scheduling engine for isolating environment instantiation of components and managing their lifecycle; a centralized access proxy gateway for verifying requests and routing them; and a unified configuration and policy management center for storing and managing various policies and providing query and update interfaces. The advantages of this application are: containerized encapsulation achieves environment decoupling and consistency, eliminating dependency conflicts; strong isolation policies ensure multi-tenant data security and system stability; centralized management enables fine-grained access control; intelligent elastic scaling optimizes resource utilization; and it supports centralized management of the entire component lifecycle, improving reusability, maintainability, and collaborative efficiency.

The application provides a three-dimensional rendering engine for multi-source design model integration of ocean petroleum engineering, relates to the field of computer graphics and three-dimensional visualization technology, and comprises four layers of technical architecture: a cloud rendering layer realizes high-performance graphics processing based on a Vulkan API; a cloud transmission layer is responsible for pixel stream transmission and instruction interaction; an integrated SDK layer encapsulates common interfaces; and an application docking layer realizes business development. A service-side rendering plus pixel stream pushing technical route is adopted, low-delay video transmission is realized through WebRTC, instruction interaction is realized in combination with an MQTT protocol, rendering calculation is concentrated on the service side, and the client only needs to process video stream decoding. The model browsing frame rate of the application is not lower than 20 frames per second, the first preloading time is less than 1 minute, and the system response time after preloading is less than 3 seconds, so that the smooth display problem of large-scale three-dimensional models on ordinary terminal devices is effectively solved, and high-fidelity three-dimensional visualization support is provided for the whole business process of ocean engineering.

This invention provides a method and system for online replacement and automatic reconstruction of a bcache caching system, belonging to the field of computer storage technology. The method adds a replica management layer, a device management layer, and a reconstruction engine layer to the bcache kernel module, and constructs a distributed replica mapping table to record the replica location, status, and version information of each cached data unit on multiple cache devices. During write operations, the replica management layer distributes data in parallel to multiple replicas and waits for all data to be persisted; during read operations, a failover method is used to read data from available replicas. The device management layer monitors device status and triggers online addition, online removal, or fault handling processes; the reconstruction engine layer dynamically adjusts the priority, parallelism, and rate of reconstruction tasks according to system load, supporting breakpoint resumption. This invention eliminates the single point of failure risk of the bcache caching layer, realizes seamless online replacement and automatic reconstruction of cache devices, ensures high data availability and business continuity, and has minimal impact on the original read and write performance.

The application discloses a kind of based on AES-GCM implementation three-dimensional model software online encryption method and device.The method includes the following steps: first, obtain the front three-dimensional model software data, then format, then generate initial fingerprint code;Then using the AES key and initialization vector IV based on AES-GCM, initial fingerprint code is encrypted, and encrypted fingerprint code and authentication label are generated;AES key is obtained by crypto.subtle.generateKey encapsulation function;AES key, initialization vector IV and authentication label are all stored in the local file of front end;AES key, initialization vector IV and authentication label are called from local file, and encrypted fingerprint code is decrypted to obtain decrypted fingerprint code;Finally, the decrypted fingerprint code is compared with initial fingerprint code, to obtain the authorization of front three-dimensional model software data.The method can be completely based on front end without back end to carry out safe AES-GCM encryption and decryption, guarantee the data security of three-dimensional model software.

The application belongs to the technical field of expressway management and control, and particularly relates to an expressway electromechanical terminal cooperative control system based on edge computing, which comprises a multi-source data sensing and fusion module, an edge intelligent analysis and decision module, a terminal cooperative control execution module, a safety protection management module and a remote monitoring center; the original data on the expressway are collected by the multi-source data sensing and fusion module and subjected to fusion processing, the fused data are subjected to real-time analysis and processing by means of edge computing, and an intelligent algorithm is used to generate corresponding control strategies and decision instructions; the control instructions are sent to corresponding electromechanical terminal equipment and the execution status thereof is monitored; the safety protection module safeguards the network security and data security of the system, effectively improves the operation efficiency and safety of the expressway, and provides strong support for intelligent management of the expressway.

The method comprises the following steps: acquiring equipment fingerprint data of login equipment, software environment data and dynamic physical state data generated during operation, encrypting the data and then sending the data to an application server; the application server receives the data, and performs identification based on the sample data stored in the historical data storage module: for the dynamic physical state data, analyzing whether the change rule of the dynamic physical state data along with time has fluctuation or continuity conforming to real physical hardware characteristics so as to perform physical characteristic authenticity identification; for the software environment data, calculating aggregation similarity of characteristic values of the software environment data so as to execute environment similarity identification; and the application server side triggers a safety behavior control module to execute corresponding safety verification or blocking operation on the application client side if the judgment result of the identification logic is the cloud mobile phone characteristic. According to the method, the detection problems of static parameter counterfeiting and clustering deployment of the cloud mobile phone are effectively solved.

The invention relates to an AI-driven rubusoside syrup preparation and milky tea flavor adaptation method, and belongs to the crossing field of artificial intelligence and food processing.The method is driven by AI double engines, specifically, a first engine classifies sweet tea raw materials through a random forest algorithm, extraction parameters are optimized based on a BP neural network and an NSGA-II algorithm, and the extraction parameters are optimized; aI dynamic regulation and control membrane filtration, double-resin chromatography and a double-effect concentration process are utilized to realize stable preparation of highly concentrated syrup with rubusoside extraction rate of greater than or equal to 96%, purity of greater than or equal to 99% and phenol content of less than or equal to 0.05%; and the second engine trains a CNN sensory prediction model by constructing a milk tea and syrup flavor database, inputs milk tea flavor characteristics, rapidly outputs optimal adaptive parameters, and supports AI simulation evaluation and real-time fine adjustment. According to the invention, the standardization and high yield of syrup quality are realized, the milk tea flavor adaptation period is shortened from traditional 15-30 days to within 24 hours, the adaptation success rate reaches 100%, and the taste coordination and production efficiency of the sugar-free milk tea are remarkably improved.

The application discloses a blockchain transaction processing method and device, a storage medium and a product. The method comprises the following steps: in a transaction execution stage, a business function parameter of a target business contract is transmitted to a built-in supervision contract by calling a common transaction; at least one extended supervision contract is called according to the business function parameter by the built-in supervision contract, wherein the built-in supervision contract is a pre-compiled contract integrated in a source code of a bottom layer node of a blockchain; the process of calling the target business contract by the common transaction is supervised and reviewed by the at least one extended supervision contract, and a review result is obtained; and the common transaction is processed according to the review result, so that abnormal behaviors or illegal behaviors occurring in the transaction can be timely blocked.

The invention discloses a recommendation system implementation method, device and equipment based on cloud disk privacy protection. The method comprises the steps that edge nodes are additionally arranged on a client side and a server side of a trusted cloud disk recommendation system; calling a multi-modal visual language model of the server to locally extract standardized file data features, completing generation of user file text description information, and performing desensitization processing on file data; the server modeling adopts a fully homomorphic encryption algorithm to encrypt user data, and user files are subjected to file hash verification; the client adopts an event-driven architecture, monitors and responds to user behaviors in real time, captures user dynamic information in real time through context sensing analysis, and updates user data and cache data of a user interest model; a Transform deep learning architecture is adopted, the relevance of entity user data is analyzed through a self-attention mechanism and a knowledge graph, high-weight core file features are searched, and a client performs personalized content dynamic recommendation based on user real-time context perception.

The application discloses a charging and discharging strategy scheduling method and system of an electric vehicle, relates to the technical field of vehicle network interaction and intelligent power grid scheduling, and comprises the following steps: acquiring current micro power grid area real-time scheduling related data; aggregating the first two layers of parameters of a Critic network in an initial scheduling model of all vehicles in the area to obtain global parameters; updating corresponding parts of local models of the vehicles based on the global parameters to form a collaborative scheduling model; after the models generate charging and discharging strategies based on real-time data, the charging and discharging strategies of each vehicle are output after competitive optimization according to the willingness of users to participate; and the application realizes collaborative optimization while fully protecting the privacy of users by aggregating model parameters instead of sharing original data; the willingness driving mechanism is introduced to improve the acceptability and execution rate of the scheduling scheme; and the adaptive scheduling capability of the system to dynamic environments such as electricity price fluctuation and uncertain user behavior is enhanced by combining federated learning and reinforcement learning.

This invention discloses a multimodal intelligent interactive portable terminal, relating to the field of portable intelligent terminal technology. It includes a hardware security sensing unit, a buttonless voice interaction unit, a covert alarm unit, a tiered alarm unit, a local AI processing unit, a peripheral expansion unit, and an optional hardware isolation unit. It integrates security monitoring, voice interaction, covert alarm, local intelligent assistance, and multi-device linkage functions, supporting offline local operation and hardware-level privacy protection. It features strong alarm concealment and high interactivity. This invention is comprehensive in function, highly secure, and highly portable, suitable for various scenarios such as personal daily life, business communication, and security protection, meeting users' diverse intelligent interaction and security protection needs.

This invention relates to the field of charging pile technology and discloses a self-organizing network charging pile communication module, including a communication unit, a control unit, a storage unit, and a security unit. This self-organizing network charging pile communication module provides efficient and stable communication even in complex environments. The radio frequency module and protocol conversion module of the communication unit work together to ensure stable communication. The radio frequency module can intelligently adjust the receiving sensitivity and transmitting power based on factors such as environmental interference and transmission distance, ensuring signal penetration through obstacles or reducing energy consumption. The protocol conversion module supports multiple mainstream communication protocols and can quickly adapt to external devices such as power grid management systems and payment platforms, breaking down communication barriers and achieving efficient interconnection between charging piles and different devices, thus improving communication compatibility. This invention constructs a security system from multiple aspects. Data transmission uses high-strength encryption algorithms and quantum key distribution technology to prevent data interception and cracking, and provides early warnings for known and unknown threats, ensuring data and network security.

The application provides a terminal device-based video processing method and system, and belongs to the technical field of video processing. The method comprises the following steps: clustering initial video frame data collected by a terminal device to obtain a plurality of video frame sets; performing face and human body correlation recognition on each video frame set to obtain target ID correlation data, determining a target personnel retention area and a non-target personnel elimination area of each video frame based on the target ID correlation data; generating to-be-repaired area data based on the target personnel retention area and the non-target personnel elimination area and performing repair to obtain a target video frame; calculating a video frame highlight score based on the target ID correlation data corresponding to each video frame set and a plurality of target video frames, and screening target highlight segment data from the plurality of target video frames corresponding to each video frame set based on the video frame highlight score. The application can solve the problem of low video processing efficiency in multi-person shooting scenes such as scenic spots, research and kindergartens.

The invention provides a SaaS management cloud system based on a data analysis algorithm and a working method and device thereof. An authentication module of the system obtains tenant information, and performs identity authentication and authority control on tenants; the voice acquisition module preprocesses the audio data; the intelligent transcription and error correction module converts the audio data voice into a text workflow; the scene recognition module performs category classification on scenes to which the text workflows belong and pastes corresponding scene labels; the workflow element extraction module adapts extraction operation based on a scene label of a scene to which the text workflow belongs to obtain workflow elements and performs dual verification; the dual-mode workflow template library maintains a mapping relation between workflow elements and tenant related template parameters; the dynamic workflow construction module generates a workflow supporting personalized configuration of tenants; and the cross-platform verification execution module triggers cross-platform execution of the workflow configured by the tenant in a personalized manner and feeds back an execution result. The whole process from voice acquisition to workflow execution is automatic.

This invention discloses a method and system for automated generation and optimization of database table structures. The method specifically includes: receiving the user's backend project source code; extracting a semantic information network graph related to data persistence through static code scanning; inputting the semantic information network graph into an intelligent parsing engine to analyze code logic relationships and obtain index recommendation strategies and potential table structure design flaws; based on the index recommendation strategies and potential table structure design flaws, identifying sensitive fields and recommending encryption or de-identification schemes to obtain a first table structure; performing automated stress testing on the first table structure and adjusting the index strategy and partitioning scheme based on the test results; and optimizing the first table structure according to the adjusted index strategy and partitioning scheme to obtain a second table structure. This invention achieves intelligent generation and optimization of database table structures, improving development efficiency, enhancing maintainability, improving user experience, and ensuring data security.

The invention relates to the technical field of digital information transmission, and discloses an embedded terminal remote configuration method and device based on the Internet of Things and a medium, and the method comprises the steps that a target embedded terminal receives a configuration parameter set and pre-stores the configuration parameter set in a preliminary buffer area, and the configuration parameter set is in a to-be-activated state; acquiring a background signal sequence in a working condition no-load intermittent period and determining a dynamic trigger threshold value; extracting an energy feature of the physical event trigger signal flow to generate a feature vector; by comparing the feature vector with a dynamic trigger threshold value, locking a feature vector take-off point to identify a synchronous trigger moment; in response to the synchronous triggering moment, the loading instruction is executed to cover the configuration parameter set to the running register, a transient signal generated by a physical event is used as a loading triggering source, so that configuration switching is converted from communication protocol driving to physical field direct triggering, the problem of parameter effectiveness uncertainty caused by transmission delay fluctuation is solved, and the reliability of configuration switching is improved. And accurate alignment of the configuration effective node and the physical production rhythm is ensured.

The invention discloses an aquatic product processing security management and control system based on blockchain traceability, and relates to the technical field of network security and data traceability, and the system comprises the steps that a multi-source data collection module collects processing whole-link parameters and related information, encrypts and uploads the parameters and related information, and associates an identifier; the data preprocessing and encryption module cleans standardized data, encrypts sensitive information and generates a unique identifier; the block chain traceability core module constructs an alliance chain to realize data chaining and non-tampering traceability; the intelligent safety management and control module evaluates compliance in real time and links equipment to dispose risks; the distributed data storage module adopts a hybrid architecture to guarantee data reliability; and the visual interaction and early warning module presents information and pushes early warning. According to the invention, full-chain data credible traceability is realized based on the block chain, risks are intelligently controlled and accurately identified and disposed, multi-agent collaboration is efficient, and data security is guaranteed; the method adapts to multi-scene requirements, improves processing compliance and emergency response capability, and assists in industrial safety management and control upgrading.

The invention discloses a head-up display storage management and firmware upgrade control method based on IIC communication. A storage medium is divided into a Bootloader area, an Application Data area, a User Data area and a Backup Data area to achieve partition management, an IIC communication protocol is adopted to achieve storage and upgrade integrated linkage, a verification mechanism is set for data transmission, and when an IGN power-off signal is detected, user parameters are written into an EEPROM and a power-on mark is set as FALSE. According to the method, the problems of poor storage and upgrade collaboration and the like in the prior art are solved, storage refinement, upgrade standardization and data security are realized, the operation is convenient, and the cost is controllable.

This invention discloses a federated learning privacy-preserving computation data processing method for emotion management, belonging to the field of data processing technology. The method includes the following steps: S1, multi-participant access and environment deployment; S2, emotion data preprocessing; S3, cross-platform training; and S4, blockchain privacy protection. This federated learning privacy-preserving computation data processing method for emotion management achieves multi-center data collaboration without transmitting raw emotion data through a collaborative mechanism of local layered desensitization and federated learning. This effectively avoids the risk of privacy leaks during cross-institutional data transfer. Combined with blockchain notarization and contract authorization, it constructs a full-process privacy protection system to ensure the data security of minors. It successfully breaks down data silos in medical, educational, and family settings, allowing the value of emotion data scattered across different institutions to be fully released. This provides safe, compliant, efficient, and collaborative technical support for multi-center children's emotion intervention research.

The application discloses a kind of server protection methods, belong to information security technical field.It includes: in response to identifying the abnormal behavior on the protected server process chain, activate protection mode;In the activated protection mode, the command to be executed corresponding to abnormal behavior is tracked and intercepted by eBPF-LSM, and it is determined whether the command to be executed satisfies the traction condition;If it satisfies the traction condition, the command is executed in the honeypot execution center pre-deployed in isolated security area, and the execution result is obtained;The execution result is fed back to the business process that initiates the command.The application realizes the kernel-level accurate interception of abnormal command through eBPF-LSM technology, and the attack traffic is tractioned to isolated environment for execution without feeling, which avoids the destruction of real server, and ensures the continuous operation of business process through feedback result, effectively improves the real-time and concealment of server active defense.

The invention discloses an electric power operator behavior edge identification and AR correction method and system based on a double-flow heterogeneous lightweight network. The method comprises the following steps: acquiring a first visual angle video stream and sensor data of a six-axis inertial measurement unit through intelligent equipment; performing normalization and de-noising processing on the video frame, and segmenting the video frame into short-time video clips according to a time window; running the pre-trained double-flow heterogeneous lightweight network, performing real-time reasoning on the video clip, and outputting a current behavior category label; the behavior confidence degree output by the double-flow heterogeneous lightweight network model is compared with a preset threshold value to judge whether the event is a violation event or not; if the event is identified as a violation event, a deviation correction mechanism is triggered immediately; and encrypting and uploading the violation event log to an enterprise security management platform or other third-party platforms for users to check, count and trace. The method can effectively solve the problems of high behavior identification delay, dependence on cloud, low edge equipment operation efficiency, insufficient multi-behavior identification precision and the like in the prior art.

An oral occlusion mark image acquisition and dual-mode display transmission device comprises a handheld collector and a terminal controller, the handheld collector is in a thin and long column shape, the front end of the handheld collector is an acquisition end portion, the rear end of the handheld collector is a grab handle, an IDC flat cable connected with the terminal controller is integrated at the bottom of the grab handle, the acquisition end portion is provided with an acquisition module and an illumination module, and the illumination module is connected with the handheld collector. The illumination module comprises a dual-ring polarization illumination structure and a driving control module, the dual-ring polarization illumination structure is connected with the driving control module, and the output of the acquisition module is connected with the IDC flat cable; the terminal controller is provided with a touch screen and a display module, the IDC flat cable is connected with the display module, and the display module is connected with the touch screen. According to the utility model, the whole process optimization from image acquisition and processing to storage and display is realized.