50 results about "System level" patented technology

A system is provided for managing and coordinating communication between STT / TTS systems and these systems during online conferences, and for mitigating connectivity issues that may occur during online conferences to provide a seamless and reliable conference experience with real-time captioning and / or presented audio. Initially, online conference communication is transmitted via a lossy connectionless protocol / channel. Then, in response to detected connectivity issues with one or more systems involved in the online conference (e.g., which may cause jitter or packet loss), instructions are dynamically generated and processed to enable one or more of the connected systems to utilize a more reliable connection / protocol (such as a connection-oriented protocol) to transmit and / or process the online conference content. Codecs are used at the system level when it is necessary to convert speech to text with associated speech attribute information and to convert text to speech.

The present application relates to the technical field of product warehouse dynamic cleaning, and particularly relates to a product warehouse customized dynamic cleaning implementation method and system.The implementation method comprises the following steps: a business layer is responsible for scene logic implementation, and has a system type, an environment and a time range set by a user;S2: setting a cleaning rule, adopting a time priority scheduling algorithm, arranging a cleaning task execution order according to a task execution priority and a current product warehouse load state;S3: an execution layer is responsible for screening out products needing to be cleaned in a logic layer, and performing product cleaning by calling a system level command.The present application realizes accurate product warehouse cleaning, maximizes storage space release, reduces operation and maintenance costs, and improves product warehouse storage efficiency and service stability on the premise of guaranteeing core product safety.

The application discloses a kind of energy router cascade failure defense and recovery method, comprising: obtaining the operating state data of multiple ports of energy router, wherein current control mode of each port is contained;Based on operating state data, by constructing a dynamic coupling matrix dependent on real-time control mode, to assess the cascade failure risk of system level, obtain system cascade failure risk index;In response to risk index over-limit or actual failure occurs, by solving an optimization problem with control mode as the core decision variable, generate and execute control instructions for suppressing cascade failure propagation;In response to fault clearance, execute risk-aware ordered recovery process, and perform closed-loop safety review after each step of the recovery sequence to ensure the stability of the recovery process.The application can improve the accuracy of cascade failure risk prediction, the effectiveness of active failure defense and the safety of system failure recovery.

This application provides a hardware-software heterogeneous data processing system and method for atmospheric sounding lidar, relating to the technical field of embedded architecture for atmospheric remote sensing and scientific instruments. The system includes: a PL (Plug-in) terminal, which performs preliminary processing on lidar signal data to generate target data; a PS (Power Controller) terminal, including an internal cache and a processing core, with a virtual spatial filter configured within the processing core; the target data is stored in the internal cache via an ACP (Automatic Component Processing Filter); the processing core schedules the PL terminal to perform preliminary processing on the digital signal, reads the target data from the internal cache, and runs the virtual spatial filter to filter the target data; the virtual spatial filter performs register-level single-loop fusion of each independent algorithm node, completing the calculation of each independent algorithm within the single loop fusion, and all intermediate data resides in the register file. Relying on the ACP and single-loop fusion architecture, the bus occupancy rate and system latency of data flow are reduced, thereby achieving high throughput and zero bottlenecks at the system level.

The application discloses a kind of AIGC content generation and GEO optimization distribution method and system based on knowledge graph constraint.The core of the method is to change the AIGC content generation process from "unconstrained free generation" to "knowledge graph hard constraint generation", and change the content distribution from "passive waiting for inclusion" to "active reverse optimization distribution".The method first establishes the brand exclusive text business travel structured knowledge graph, and uses the hard facts such as merchant coordinates, joint IP and product SKU as mandatory boundary prompt words to constrain the text generation of large language model;At the same time, through the reverse analysis of the recommendation preference of mainstream generative AI engine by automatic probe, the preference vector matrix is formed to guide corpus generation;Then, through the full-automatic distribution platform, the corpus is fed to the whole network in batches through multiple channels;Finally, through the inclusion tracking probe and feedback closed-loop mechanism, the dynamic rectification of strategy is realized.The application realizes the generative engine optimization (GEO) for large model for the first time at the system level, effectively eliminates AI content illusion, realizes more than 80% automation of core operation process, and significantly reduces the cost of enterprise customer acquisition.

The application provides a kind of energy storage battery state simulation and prediction system and method based on digital twinning, aiming at solving the problems of inaccurate state modeling, insufficient perception granularity, uninterpretable prediction and response lag of existing energy storage system.The method uses equivalent thermal model, electrochemical model and aging mechanism model to model the battery, introduces adaptive gating parameter fusion mechanism and data characteristics, realizes cross-scale state mapping and feature reconstruction from cell to system level;Using the electric-thermal-aging coupling relationship to generate baseline trajectory, combined with the data-driven residual correction mechanism to realize multi-time domain closed-loop prediction, identify potential faults and risks in advance through multi-time domain anomaly judgment system;Build a three-dimensional topological model to dynamically display state parameters, generate hierarchical alarm signals and provide operation suggestions.The system constructed by the application has high precision, interpretability, prediction and visualization capabilities, which can significantly improve the intelligent operation and maintenance level of energy storage battery system.

The application discloses a dynamic security protection method and system based on behavior workflow and Kalman filtering, and relates to the technical field of network security management and control.The application comprises the following steps: collecting multi-source heterogeneous original logs and performing standardized processing to obtain a standardized event stream; mapping the standardized event stream into an attack stage sequence, constructing and incrementally updating an attack semantic graph, and extracting attack progress observation values; establishing a state space model including attack progress and attack speed based on Kalman filtering, performing attack state estimation and trend prediction, and obtaining attack progress estimation and attack speed estimation; calculating threat urgency, and adjusting a two-way mandatory access control strategy based on the threat urgency classification. A dynamic security protection system capable of realizing real-time perception of attack process evolution, dynamic adjustment of access control strategy, high interpretability and strong adaptability is constructed, and deep coupling of attack semantic understanding, attack state estimation and access control strategy adjustment at the system level is realized.

The application relates to the field of intelligent control of circuit protection devices, and particularly discloses a control method for power line carrier communication of a universal circuit breaker, which is applied to a controller with a built-in high-speed power line carrier communication module and comprises the following steps: when a controller determines a tripping instruction generated by a line fault, the controller synchronously generates a priority communication identifier containing a fault feature; then the HPLC module is driven to broadcast the identifier in an enhanced mode; subsequently, within the inherent delay before the mechanical action of the circuit breaker, the module listens to a public response channel to receive a special communication resource authorization dynamically issued by a power distribution master station according to the identifier; finally, the module transmits complete fault data in an exclusive mode without conflict on the authorized special time slot or frequency band. Through deep coupling of communication scheduling and protection action timing, the application realizes dynamic resource cooperation at the system level and ensures the absolute reliability and ultra-low delay of key information transmission.

The application discloses a kind of lightweight high-reliability rotor position detection method and device of large hollow permanent magnet motor, belong to permanent magnet synchronous motor control technical field.The method includes: S1 in stator slot opening embedded installation 3N linear hall sensor, wherein N is positive integer and N≥1, according to slot pitch angle α Calculation common offset, 3N original signal is time shift processing, obtain 3 (N+M) reconstructed hall signal, M is integer and M≥0;S2 executes amplitude range detection and phase relationship detection, reconstructs fault signal using adjacent leading phase normal sensor signal;S3 is calculated rotor position by vector space decoupling transformation and phase extraction method;S4 upper motor controller carries out fault detection and feedback channel switching instruction, realizes system level fault tolerance.The application realizes structure lightweight, high-precision detection, sensor level fault tolerance and system level fault tolerance, is suitable for space power station solar sail etc. Motor drive system high-reliability control demand.

The application relates to the technical field of cooperative control, and particularly discloses a kitchen intelligent processing cooperative work control system. The system comprises: a reference extraction module which determines a transmission calibration sequence in a wind-disturb-free environment; a disturbance judgment module which judges whether a phase lock loss signal is triggered, and then identifies a space interference source to obtain a shear disturbance event; a thermal loss evaluation module which controls a cooking utensil to perform heat compensation at a system level; a heat compensation module which tracks a temperature recovery curve after heat compensation to verify heat recovery efficiency, and converts a control instruction into a compensation gear when the efficiency meets the standard; and a state reconstruction module which is used for performing efficiency regression analysis, and identifies a drift state of a physical boundary based on an analysis result, and adjusts historical calibration. The application is beneficial to shear airflow disturbance in a kitchen environment, and realizes dynamic adaptive control of the system through experience accumulation and efficiency regression analysis.

This application relates to the field of integrated circuit technology and provides a physical IP verification device, verification method, computer equipment, and medium. The physical IP verification device includes: a first reusable multi-mode test sequence generator, a verification component physical interface, a second reusable multi-mode test sequence generator, and a verification component serial interface. This allows for the consideration of different simulation needs and scenarios, such as accelerating simulation efficiency and integrating verification. It supports protocol consistency verification, physical layer subsystem-level functional verification completeness, and standardized protocol verification. It provides a rich set of test vectors to meet the interfacing test scenarios and completeness verification needs of different layers, including the transaction layer, data link layer, and physical layer. It supports richly layered debugging interfaces and debugging methods, different physical interface versions and interface data bus widths, and also supports hierarchical and fine-grained low-power management.

This application provides a vehicle reversing radar off-line detection system and method, including: a multi-bus data acquisition device, which synchronously acquires CAN, LIN, and Ethernet data streams during a standardized vehicle reversing process and configures time markers for each data stream based on the same hardware clock source; a spatiotemporal alignment determination module, which identifies the response signals of the same physical event in different buses, calculates the maximum timing deviation between time markers, and determines whether each data stream meets timing consistency requirements; a multimodal joint verification module, which, when timing consistency is met, performs joint determination on acoustic response, optical response, and image response characteristics based on the aligned time axis and outputs the detection result; and a response handling module, which triggers a vehicle interception command and maintenance scheduling process when the detection result is a failure. This application solves core problems such as the inability to synchronize cross-protocol data, the lack of acoustic-optical-image collaborative verification, the fact that faults are only located at the system level, and the lack of an automatic handling mechanism.

This invention discloses a predictive maintenance method for intelligent logistics systems, belonging to the field of intelligent logistics equipment operation and maintenance technology. Under the premise of ensuring that the original component-level data does not leave the local area, the method of this invention efficiently aggregates the scattered, heterogeneous and real-time changing equipment health information into degradation cognition that can be directly executed at the system level, and drives causal fault chain reasoning covering components, subsystems and business consequences based on this cognition, thereby realizing the synchronous closed loop of automated operation and maintenance and production line scheduling.

The application discloses a phase change carbon capture one-key starting system and a control method, which comprises a control system level and a device system level connected with the control system level, the control system level comprises a control module, a feedback module and an input module, the control module comprises a control core and a control panel, the system is suitable for a phase change absorbent, the comprehensive performance of the phase change absorbent, such as absorption rate, absorption capacity and corrosion resistance, is superior to that of a conventional absorbent, under the high synergy of the phase change absorbent and a matched phase separation unit, deep energy saving can be further realized, the system is compatible with the conventional absorbent, can be used for experimental verification of various absorbents, the process is stable and controllable, can timely and adaptively adjust and correct, and can automatically and intelligently realize a complex and tedious starting program, greatly compresses the system starting time, meanwhile, the system is simple to operate, the content visibility is high, the working steps of an operator are simplified, the risk of misoperation of the operator is reduced, manpower and material resources are saved, and the safety of personnel and equipment is effectively ensured.

This invention discloses a comprehensive collaborative energy-saving optimization method and system for industrial pumps, encompassing the equipment, system, and operating conditions. This method abandons traditional single-point or offline optimization, constructing a real-time dynamic optimization system with a closed-loop "perception-analysis-decision-execution" mechanism. The core of this method lies in: deploying intelligent edge nodes at the equipment level to achieve microsecond-level adaptive adjustment based on real-time operating conditions; building a digital twin model of the pump group at the system level to perform global topology and scheduling optimization; and analyzing process requirements at the operating condition level to generate a dynamic "optimal operating condition curve." Using a unique "system energy efficiency entropy" model as a unified optimization target, and leveraging a cloud-based collaborative optimization engine, it coordinates decisions across the three levels in real time, achieving optimal energy efficiency across the entire chain, from single pump efficiency and pipeline losses to process matching. This invention achieves real-time, adaptive, and globally optimal energy-saving effects.

The application provides a kind of detection processing method of car domain controller hibernation exception, it is related to car electronic control technical field.The method comprises: in response to hibernation trigger instruction, the flow of system level chip enters low-power hibernation state is started;When detecting hibernation failure, the target resource and target module causing failure are identified by hibernation wake-up management process;Perform hierarchical recovery operation, and at least twice resource release notification of different priority is successively initiated to target module;If target resource is not released after hierarchical recovery operation, then send assistance request to external micro control unit by external communication module, and hardware level recovery operation is performed by external micro control unit.The application can effectively solve the problem of car domain controller hibernation exception by the multi-level processing mechanism of software hierarchical recovery combined with hardware forced intervention, avoid battery feed, and improve the reliability and safety of the system.

This invention discloses a collaborative optimization design method for bearing systems based on TRIZ theory, belonging to the field of mechanical design and innovation methods. First, based on the optimization requirements of the bearing system performance, this invention establishes a three-level functional model of supersystem-system-subsystem and identifies key problem clusters. The functional model includes at least one of the following: useful functions, harmful functions, insufficient functions, and excessive functions. Then, based on the three-level functional model, contradiction solutions and resource analysis are performed at the component level, system level, and supersystem level to obtain contradiction solutions. Subsequently, a matter-field model is constructed and solved, and the TRIZ evolutionary law is applied to guide system reconstruction to obtain a system evolution scheme. Finally, the contradiction solutions and the system evolution scheme are cross-integrated and their feasibility is evaluated to generate an innovative conceptual design scheme for the bearing system. This invention effectively solves the problems of existing technologies being limited to single problems and isolated components.

The application discloses a kind of based on edge computing's Internet of Vehicles low latency communication method and system, method includes: edge node obtains historical operation data and obtains real-time evaluation network communication link and the state parameters of edge node itself performance;Edge node is based on historical operation data and real-time state parameter prediction generates communication delay value, and real-time monitoring edge node resource to generate comprehensive load index;When communication delay value exceeds preset delay threshold or comprehensive load index shows that edge node is overloaded, triggers edge node to carry out task migration;Edge node selects another edge node as migration target node, and part of task is transferred to migration target node execution.The application identifies potential high latency state in advance by delay prediction, and then triggers migration, transfers task from high load node to low delay or resource sufficient target node, so as to significantly reduce average response latency at system level, improve service continuity.

The application discloses a naming method, system, device and medium for modules in a distributed operating system, and can realize the following technical effects: (1) a standardized input is provided for dynamically generating a URL and a two-dimensional code through a structured naming rule; (2) the functional properties, action ranges or system levels of the modules can be more intuitively reflected; (3) a clear and manageable path is provided for the fine classification and expansion of the system under the premise of maintaining the stability of the core architecture through the introduction of a predefined and protected secondary classification mechanism; (4) the global uniqueness of the module naming is ensured in combination with user information, and the naming conflict between the system key modules and the user modules is avoided through the reserved word mechanism of the secondary classification; and (5) the readability, recognizability and processing efficiency of the module names in the user interface, command line operation and network transmission are improved through the standardized naming structure and length limitation.

This application discloses a function management method, apparatus, electronic device, and computer-readable storage medium, belonging to the field of computer technology. The method includes: in response to receiving a target configuration file, parsing the target configuration file to obtain target configuration parameters for a target system module; and updating the functions of the target system module based on the target configuration parameters. This enables remote dynamic updates of system module functions, extending the depth of function control to the system level, thereby improving the flexibility and maintenance efficiency of configuration management, while also supporting rapid functional iteration after product delivery, enhancing product operational capabilities and user experience.

This invention discloses a method and apparatus for cross-level radio frequency (RF) system data modeling. The method includes: acquiring scattering parameters of RF devices and performing defolding and normalization preprocessing; training a first neural network based on the processed scattering parameters to construct a device-level surrogate model; training a second neural network based on the device-level surrogate model and electrical behavior data to construct a unit-level surrogate model; encapsulating the unit-level surrogate model to generate a time-domain behavior model of the RF channel; and verifying the accuracy of the RF channel time-domain behavior model in a test link. This invention achieves automated, high-precision, integrated modeling from device to system level.

The application provides a NUMA-aware optimization system and method for an NVM key-value database, comprising a proxy module: creating a proxy thread pool for each node of the NUMA; the thread pool converts data operation requests sent from each node to the local node into local access through a proxy mode; a monitoring module: monitoring the running state of the system and collecting running data; the running data comprises running data at the proxy thread level, running data at the proxy node level and running data at the system level; a scheduling module: scheduling the proxy threads in the proxy module. The application proposes a node multi-proxy mode, which can convert any node access request to the local NVM into local access through a certain number of proxy threads, thereby solving the performance decline problem of NVM database cross-end access and high concurrency access under the NUMA architecture.

This invention discloses a data model-based dynamic management method and system for financial assets, belonging to the field of financial technology. The method includes: constructing a unified and trustworthy data foundation by generating data passports with confidence labels for multi-source financial data, and generating a unified digital profile integrating the confidence labels based on these passports; constructing a dynamic correlation graph using the profiles as nodes; executing hierarchical decision-making steps by generating financial asset operation instructions for different management dimensions through parallel micro-control loops, meso-control loops, and macro-control loops; and monitoring the execution results through time-lapse and continuous learning feedback steps, triggering a re-decision closed loop in response to loss events. This invention achieves full-spectrum, three-dimensional dynamic management from the instruction level to the system level, significantly improving risk identification accuracy, response speed, and system automation level.

The application discloses a design method of a macroscopic anisotropy structure based on a porous gas bearing, solves the problems of inaccurate performance prediction, non-systematic optimization design and the fact that the existing production conditions cannot realize micro anisotropy due to the isotropic assumption of the material of the porous gas bearing, and comprises the following steps: micro characteristic foundation and parameterization characterization: a prediction model of anisotropic permeability tensor is established; radial / circumferential low segmentation design: a partition design is adopted, and high permeability material is arranged in a bearing area; axial sandwich gradient design: a sandwich functional gradient design is adopted, and the thickness of high permeability material at both ends of the bearing is smaller than the thickness of low permeability material in the middle; system level performance simulation verification: macroscopic control equations coupled with porous medium seepage and gas film lubrication are solved, the bearing capacity, stiffness and gas film stability of the macroscopic anisotropic bearing are accurately predicted; performance comparison and optimization: performance comparison and verification are carried out with the performance of a traditional isotropic design.

The application belongs to the field of electric power, and discloses a risk early warning method and device for an energy storage power station, which comprises the following steps: collecting multi-source heterogeneous operation data of battery monomer level, battery cluster level, battery cabin level and system level in the energy storage power station, and preprocessing the multi-source heterogeneous operation data; extracting a dynamic feature set related to battery fault evolution from the preprocessed data, and constructing a state vector for representing the safety state of the system based on the dynamic feature set; constructing a system state space model based on the dynamic fault evolution process, and initializing model parameters based on test data; predicting the future evolution path of the state vector based on the system state space model and real-time operation data, and calculating the probability and early warning time of the evolution path entering a predefined fault region; determining the current early warning level according to the probability and early warning time, and triggering a linkage control strategy corresponding to the early warning level.

This invention provides a method for constructing a safety architecture for hydrogen-powered trains, belonging to the field of rail transit train safety control technology. This invention elevates safety design from isolated components to the system level, covering the entire lifecycle and all operating conditions of the hydrogen-powered system, achieving comprehensive safety management both horizontally and vertically. It transforms passive protection into proactive defense, enabling early intervention through a closed-loop "monitoring-response-handling" system and rapid control intervention, effectively preventing the escalation of risks. The three-tiered defense architecture, in synergy with three levels of protection, ensures backup measures are available even when a single safety measure fails, significantly improving the system's fault tolerance and overall safety level. Closely addressing the risk characteristics of hydrogen-powered systems, with "blocking propagation" and "suppressing coupling" as its core principles, it effectively addresses specific risks such as hydrogen leakage, combustion and explosion, and cascading failures in electrochemical systems.

The application discloses a kind of wind power layered dynamic optimization scheduling methods based on high reliability guidance, belong to power grid dispatching technical field.The method includes:1. constructing node power prediction benchmark, and introducing frequency domain feature analysis module, the predictability and reliability index of each level prediction result is quantified in real time by discrete fourier transform;2. construct dynamic hybrid coordination mechanism, according to the relative strength of system level and node level reliability, dynamically switch from bottom to top aggregation and from top to bottom decomposition coordination path;3. in from top to bottom decomposition path, introduce physical constraint neural network, reconstruct node power under the premise of strictly meeting power balance equation constraint and line capacity, node voltage and other physical constraints.The application can effectively break the limitation of single coordination direction, significantly reduce voltage deviation and network loss under the premise of guaranteeing system power balance and physical safety, improve new energy consumption efficiency.

The invention provides an upgrading method, an upgrading system, electronic equipment, a storage medium and a program product, and the method comprises the steps: under the condition that firmware of a micro-control unit runs in a first partition in a storage space, obtaining upgrading data of a second partition, and sending the upgrading data to the micro-control unit, the second partition is a partition different from the first partition in the storage space, and the upgrading data is used for firmware upgrading of the micro-control unit in the second partition; in the sending process of the upgrade data, a first data volume of a data transmission channel is obtained, and the data transmission channel is a channel for data transmission between the system-on-chip and the micro-control unit; and under the condition that the first data volume is inconsistent with the preset data volume, adjusting the transmission rate of the upgrade data, so that the data volume of the data transmission channel is the preset data volume.

The application relates to the technical field of integrated circuits and provides a verification platform, a verification method, electronic equipment and a medium. The verification platform comprises: an application layer bus function level model, which comprises a customized interface for a design under test for interaction with the design under test, wherein the design under test is a PCIe protocol interface and protocol compliance test suite, the PCIe protocol interface and protocol compliance test suite supports verification requirements of a physical layer intellectual property core and supports verification requirements of PCIe controller plus physical layer subsystem level protocol consistency; and the design under test interacts with the application layer bus function level model through the customized interface. In this way, the integration and through-flow debugging cost of subsystem protocol consistency verification is reduced, the verification period of PCIe subsystem protocol standardization interface testing is shortened, and the completeness of PCIe subsystem full-quantization protocol interface verification and the platform reuse efficiency are improved.

The application discloses a pop-up window display and scheduling method for a car machine system. The method first acquires a pop-up window instance from a unified class library in response to an application call, which standardizes the visual implementation of the pop-up window and solves the problem of inconsistent styles caused by multi-source development. Secondly, the display level of the pop-up window instance is determined according to a predefined pop-up window level matrix, which sets clear coverage rules for application-level, system-level and high-level pop-up windows, thereby fundamentally avoiding level conflicts and occlusion between pop-up windows. Finally, through an independent scheduling center, the pop-up window is globally scheduled to be displayed or hidden based on the level and the real-time monitored interface state (such as application switching and pop-up window triggering events). The method decouples the creation, level management and behavior scheduling of the pop-up window at the system level and uniformly controls them, thereby ensuring the consistency of all pop-up windows of the car machine in vision and behavior, and improving the interactive experience and interface aesthetics.