1793 results about "Functional module" patented technology

The invention discloses a software development result traceability analysis system based on version control, and relates to the technical field of intelligent software analysis. According to the method, the non-tampering property of code submission records is ensured through a block chain technology, a credible basis is provided for traceability, the code semantic analysis module generates a data set containing semantic association in combination with a clustering algorithm and weighted calculation, and the function influence positioning module constructs a function association graph by applying a graph neural network algorithm, so that the traceability is improved. An influence path of code change on system functions is automatically identified, the time cost of complex project function influence positioning is remarkably reduced, an evolution path generation module analyzes and tracks a code evolution path in combination with a time sequence, and a core module identification module clusters key nodes and positions a core function module. And the time-tracing source data storage module generates a visual relation graph and a queried data set, so that the whole-process management from code submission to result tracing is realized.

The invention relates to the field of chip fault positioning, in particular to a chip fault rapid positioning method and device, equipment and a storage medium. The method comprises the following steps: acquiring temperature sensing data and time sequence signals in a chip operation process; performing multi-index deviation calculation on the temperature sensing data and the time sequence signal to generate a state deviation index; performing real-time comparison detection on the state deviation degree index based on a preset first deviation threshold value, and when the state deviation degree of the index deviation curve exceeds the preset first deviation threshold value, triggering a fault early warning mode; identifying abnormal function parameters based on the fault early warning mode; identifying the dependency relationship of each functional module of the chip; constructing a fault propagation model based on the dependency relationship; and inputting the abnormal function parameters into the fault propagation model for analysis, and outputting a fault source candidate set. According to the method, by focusing on a high-probability area, the defect searching time is remarkably shortened, and the chip fault position is efficiently and quickly positioned.

The invention discloses a mechanical arm control method and system based on fuzzy self-adaptive PID control, relates to the technical field of mechanical arm control, and solves the problem that mechanical arm control is insufficient in flexibility when facing different working conditions. According to the embodiment of the invention, the universe expansion and contraction factor is adjusted through the error, then the close linkage of the quantization factor and universe expansion and contraction is realized through the self-adaptive quantization factor calculation, the fuzzy reasoning technology is combined, the intelligent mapping from the error information to the PID parameter increment is realized, the real-time updating of the PID parameter and the control output calculation are realized, and the real-time updating of the PID parameter is realized. The flexibility and adaptability of the control system are improved; and then output is controlled through incremental PID, so that a complete control link from parameter increment to actuator driving is realized, a complete closed loop is formed by a cascade control architecture, functional modules are tightly coupled, parameters are coordinated, and the whole-process intelligence from error sensing to execution control is realized.

The invention relates to the technical field of gastrointestinal tracts, in particular to a gastrointestinal tract ultrasonic virtual simulation nursing teaching platform which comprises a function module and a hardware configuration module. The function module comprises an anatomy learning module, an ultrasonic simulation module, a case training module and an examination and evaluation module; the hardware configuration comprises a VR head-mounted display, an ultrasonic simulator and an operation panel. The system has the advantages of safe and risk-free training, standardized process learning, immersive scene experience and instant feedback evaluation, a high-fidelity gastrointestinal tract ultrasonic virtual simulation teaching platform for critically ill patients is constructed, a 3D virtual model is constructed by using a virtual simulation technology, knowledge is presented dynamically and visually, real situations such as ICU wards and the like are simulated through VR, and real-time feedback evaluation of the gastrointestinal tracts of the critically ill patients is realized. The learning initiative and the sense of participation are stimulated; an ICU environment is virtualized, an unlimited'trial-and-error 'practice space is provided, the equipment cost is reduced, potential safety hazards are avoided, and space-time and safety barriers are broken.

The invention discloses an IP event counting device and method, equipment and a storage medium. Comprising an IP function module and a power management module. The IP function module comprises a counting register; the power management module comprises a counting mirror image register and a cardinal number register; the counting register is connected with the counting mirror image register through a hardware connection line; when the IP function module is powered off, the IP function module reads the first count value from the count register and reads the third count value from the cardinal number register, the first count value and the third count value are accumulated, and an accumulation result is written into the cardinal number register to serve as a new third count value; and when the IP function module is in a power-on state, the power management module reads the second count value from the counting mirror image register every set duration, accumulates the read second count value and the third count value through the adder, and determines an accumulation result as a target count value of the preset IP event. And occupation of software and hardware resources of the power management system is reduced.

The invention relates to the technical field of integrated circuit design, computer system structures and embedded systems, in particular to a high-real-time interrupt management system and method based on an RISC-V. The system comprises an improved platform-level interrupt controller and an optimized processor internal interrupt processing unit. The system and the method are in tight coupling cooperative work through a special interruption field interface and a system bus, and the system further comprises a core local interrupter, an SRAM, an APB bus matrix and other components. The improved platform-level interrupt controller is responsible for sampling, gating, arbitration, flow control and direct memory access transmission of external interrupt, and a plurality of functional modules are arranged in the improved platform-level interrupt controller; an interrupt processing unit in the processor is responsible for hardware handshake, vector jump, nested control and tail biting mechanism implementation. Through hardware field management, multi-level priority arbitration, hardware nesting and tail biting mechanisms, delay and overhead caused by software intervention in a traditional architecture are eliminated, nanosecond response is achieved, the system throughput rate is increased, the software development threshold is lowered, and the method is suitable for strong real-time scenes.

The invention discloses a lightweight low-delay quantum key distribution method and system adaptive to an electric power scene, and belongs to the technical field of quantum communication and electric power communication crossing. The method comprises the steps cooperatively executed by a sending end and a receiving end: the sending end determines a basis vector based on a pre-associated quantum fingerprint sequence and a timestamp, sends a key through polarization-phase two-dimensional coding, generates a selection mark and executes privacy amplification; and a receiving end synchronizes a timestamp to determine a basis vector, compares the basis vector with the quantum fingerprint to complete authentication, decodes through an integrated module, performs collaborative error correction and executes privacy amplification. The system comprises functional modules of a sending end and a receiving end, is integrated on a miniaturized board card, and supports common-fiber transmission and protocol conversion. According to the method, the problems of high time delay, high deployment cost and poor adaptability of the traditional QKD are solved, the end-to-end time delay is reduced to 14 microseconds, the deployment cost is reduced by more than 60%, the requirements of high safety, low time delay and lightweight deployment of a power system are met, and the method is suitable for key services such as power dispatching and relay protection.

The invention provides a construction site laboratory digital management method and system based on information sharing, and the method comprises the steps: firstly collecting the information sharing demands of a quality supervision mechanism, a project owner, a grade detection mechanism, a construction site laboratory and other subjects on the business processing, supervision and guidance, cooperative management and other aspects of the construction site laboratory; secondly, building a multi-subject adaptation module by utilizing an NET research and development framework, selecting and combining functional modules according to acquired requirements to complete building, then setting a transfer node and associating subject operation authority based on a sub-pressing sharing requirement type so as to dynamically configure an information sharing approval process, and then utilizing a front-end tool with a table editing function to complete the information sharing approval process. Sharing information items are integrated according to business scenes, transfer nodes are associated, a scenarized sharing information template is generated, finally, directional information sharing among multiple subjects is executed based on the scenarized sharing information template, feedback information is collected to optimize adaptation module function combination and information sharing approval process configuration, and construction site laboratory digital efficient management is achieved.

The invention belongs to the field of robot control, and discloses a robot task scheduling method and system, a robot and a storage medium, and the method comprises the steps: responding to a request of a target task, and querying the state of a global task lock in the robot; under the condition that the global task lock is not occupied, whether the target task can be executed currently or not is determined according to the running state of a function module associated with the target task in the robot and a preset conflict strategy table; wherein the preset conflict strategy table is used for describing the running state of the robot and the logic relation between the tasks; under the condition that the target task can be executed currently, the global task lock is updated to be in an occupied state, an independent scheduling thread is created, a task starting instruction is issued to an associated function module through the independent scheduling thread, and then the robot is controlled to execute the target task. According to the method provided by the invention, the robot tasks can be uniformly and efficiently scheduled and managed.

The invention provides a remote sensing data processing system construction method adaptive to distributed multi-cloud nodes, which can be applied to the technical field of cloud computing. The method comprises the following steps: constructing a system function library, wherein the system function library comprises a general capability library used for providing basic support and general processing capability, and a special plug-in library used for registering a specific business processing module; performing feature modeling on the remote sensing data processing task to generate a multi-dimensional task feature vector containing a control feature, a data feature, a resource feature and a performance feature; automatically selecting a function module from a system function library based on the multi-dimensional task feature vector, and performing multi-dimensional constraint verification on the selected module; and after the constraint verification is passed, completing automatic assembly and operation of the task in the distributed multi-cloud node environment.

The invention discloses a server input and output system and an application method thereof, and electronic equipment, and relates to the technical field of computers, a plurality of groups of general physical channels corresponding to different interface protocols are reserved in a high-speed signal area of the same standard slot, and a first controller identifies the protocol type of an insertion module in real time, so that the interface protocol of the insertion module is identified; and the signal transceiving channel is automatically and dynamically switched to the target differential pair channel matched with the signal transceiving channel, so that the same physical slot can be compatible with external equipment of various different protocols, and the universality of input and output interfaces and the expansion flexibility of the whole system are improved. Due to the fact that the standard slot adopts a unified standard design in the power supply area and the control signal area, consistent electrical and logic interfaces are provided for functional modules from different sources, it is ensured that the modules can be accurately recognized and configured when inserted, and the success rate and safety of hot plug operation are improved.

The invention discloses a substrate management controller firmware integrity verification method and electronic equipment, and relates to the technical field of server management, and the method comprises the steps: building a tree structure layered according to a storage path prefix through obtaining the storage path and content data of each function module, the full-coverage verification of all functional modules of the firmware of the baseboard management controller is realized; according to the method, the security level labels in the structured description information are screened, and the verification path is determined for the target function module, so that the redundant operation of full firmware mirror image hash calculation is avoided, and the calculation amount and time consumption in the verification process are reduced; hash is recalculated based on the target function module and path consistency is verified, whether the target function module is tampered or not can be rapidly judged, all firmware data does not need to be traversed, verification comprehensiveness and efficiency are both considered, and bandwidth resource consumption is reduced; all function modules are associated through a storage path and content data, tree structure verification logic is combined, and refinement of firmware verification from a full mirror image level to a function module level is achieved.

The invention relates to a reconfigurable equipment simulation system based on software radio, and the system achieves the high-integration, user-friendly and efficient-management reconfigurable equipment simulation system through the modularization and seamless integration of a radio waveform design function, an equipment simulation user operation interface design, a business logic function design and a project management function. Therefore, even if a user does not have a deep programming capability, the user can quickly construct, test, manage and deploy the equipment simulator with complete functions. The system is rich in waveform component and UI component library, customizable in function and good in flexibility, software radio waveform design and equipment simulation are innovatively and seamlessly integrated, automatic non-inductive or manual upgrading can be achieved, the universality is good, various equipment simulators can be designed, the designed equipment simulators have open function expansion, and the system is suitable for popularization and application. And a complete project management process is provided.

The embodiment of the invention discloses a virtual-real linkage experiment system based on digital twinning. The virtual-real linkage experiment system comprises hardware experiment equipment and computer equipment for operating a virtual simulation platform. The hardware experiment equipment comprises a simulator and a plurality of pluggable function modules. And the simulator is in communication connection with the virtual simulation platform through a computer equipment communication interface and communicates with each functional module. And the virtual simulation platform runs the virtual simulation model, receives an operation instruction input by a user through the computer equipment input assembly, performs logic simulation, updates the simulation state of the virtual simulation model, generates simulation state information and sends the simulation state information to the simulator. The simulator converts the simulation state information into a driving signal, drives the corresponding function module to update the physical state, and collects the physical state of each function module to obtain physical state information. The physical state is generated by operation of a user on the corresponding functional module or by the functional module responding to the driving signal. And the virtual simulation platform updates the simulation state of the virtual simulation model according to the physical state information.

The invention provides an AI auxiliary code generation method and system applied to a low-code platform, and relates to the technical field of low-code platforms.The AI auxiliary code generation method comprises the steps that firstly, component demand scenarized information is obtained and analyzed to obtain a scenario feature set, and a dynamic evolution rule set is generated in combination with platform real-time metadata; calling an AI code generation module, inputting the scene feature set and the rule set, and generating an initial component code; then deploying the initial code to a test environment, collecting and analyzing operation data, generating an iterative optimization instruction adjustment code and a rule set, and obtaining a target component code; and finally, embedding the target code into a platform specified function module to complete code generation. The method can adapt to diversified scene requirements, has a self-optimization capability in combination with the real-time state of the platform, and can improve the development efficiency and code quality of the low-code platform.

The invention discloses an amorphous alloy motor operation efficiency monitoring method and system based on artificial intelligence, and relates to the technical field of electrical engineering, the system is composed of a plurality of functional modules, and the system comprises a multi-dimensional data acquisition module for acquiring motor operation multi-field coupling parameters, environment condition data and motor operation multi-field coupling parameters; comprise electrical coupling parameters, thermal coupling parameters and mechanical coupling parameters; the edge calculation module is used for preprocessing motor operation multi-field coupling parameters and environment working condition data, introducing multi-field coupling features and extracting multi-dimensional features and multi-sensor time sequence features; and the cloud artificial intelligence analysis module constructs a dynamic mapping model based on historical motor operation data by adopting an improved LSTM and Attention mechanism and fusing a Transform architecture, inputs multi-dimensional features into the dynamic mapping model, outputs an energy efficiency level, and fuses multi-sensor time sequence features by using a graph neural network based on the energy efficiency level.

The invention provides a hydraulic fracturing simulation device, which comprises a pressure pump, a function module, an execution module, a visual display module and a valve assembly, the function module comprises a sand mixing unit and an oil-water separation unit, the execution module comprises a shaft simulation unit and a multi-stage crack simulation unit, and the shaft simulation unit and the multi-stage crack simulation unit are communicated. A gradient pressure triggering structure is arranged in the multi-stage crack simulation unit so as to realize multi-stage crack progressive expansion; the valve assembly comprises a first valve, a second valve, a third valve and a fourth valve, the first valve is connected with the pressure pump and the sand mixing unit, the second valve is connected with the sand mixing unit and the shaft simulation unit, the third valve is connected with the pressure pump and the oil-water separation unit, and the fourth valve is connected with the oil-water separation unit and the shaft simulation unit; thus, through integrated design, a valve assembly double-loop switching mechanism and gradient triggering and visual collaborative layout, the requirements for integration, continuity, high simulation and high precision of the hydraulic fracturing experiment are met, and the hydraulic fracturing experiment system fully meets the requirements for industry core development.

The embodiment of the invention provides a GaAs-based HBT epitaxial wafer multi-parameter cooperative control growth processing system. The GaAs-based HBT epitaxial wafer multi-parameter cooperative control growth processing system comprises a data acquisition module which is used for monitoring the actual temperature of different positions of a substrate tray and the growth thickness of an epitaxial layer in real time; the temperature regulation and control module is used for independently regulating the temperature of each area according to a preset target temperature range to form temperature gradient distribution; the carrier gas control module is used for dynamically adjusting the carrier gas flow according to the temperature adjustment result to maintain uniform distribution of reaction gas and stable reaction rate; the growth rate monitoring module is used for comparing the actually measured growth thickness with the theoretical design thickness and triggering compensation adjustment when the deviation exceeds a set threshold value; and the model processing module is used for establishing a mathematical model among the temperature, the gas carrying capacity and the growth rate to predict and optimize the growth process. By systematically integrating each functional module, accurate control and intelligent management of the epitaxial growth process are realized, and the product consistency and the production efficiency are remarkably improved.

The invention relates to the field of artificial intelligence, in particular to an agent processing system and method, a readable storage medium and a computer program. The intelligent agent processing system comprises a plurality of functional modules, and the plurality of functional modules comprise a concurrent execution engine which is configured to obtain a dependency relationship among tasks according to a task plan analyzed by a task target of an intelligent agent, the tasks which can be executed concurrently are identified according to the dependency relationship among the tasks; and the plurality of cooperative function modules are configured to acquire respective tasks and concurrently execute and complete the respective tasks so as to cooperatively complete the task target of the intelligent agent.

The invention discloses a distributed control-based stacker scheduling method, system and device and a medium, the stacker comprises a lifting module, a walking module and a pallet fork module, the lifting module, the walking module and the pallet fork module are each provided with a control module, and the method comprises the following steps of: aiming at a target task, controlling the lifting module, the walking module and the pallet fork module; optimal action sequences are calculated through control modules configured for the lifting module, the walking module and the pallet fork module respectively; based on the optimal action sequence, a scheduling strategy is generated in a bus negotiation conflict mode; and performing scheduling control on the stacker according to the scheduling strategy. By adopting a distributed control mode, each functional module of the stacker is independently configured with a control module, so that each module can autonomously calculate an optimal action sequence, the coupling degree among the modules is greatly reduced, and the scheduling efficiency and reliability of the stacker are improved.

The invention provides an intelligent building operation and maintenance management and control platform based on digital twinning, and relates to the technical field of intelligent buildings. A data preprocessing module; a digital twinborn model construction module; a simulation test space construction module; an instruction execution and evaluation module; a synchronous execution module; an information guarantee module; according to the invention, equipment operation parameters, environment data and historical fault information data in a building are collected, data transmission and protocol conversion are carried out through a standardized communication protocol, a simulation test space for evaluating the safety of a function module is constructed, and a fault knowledge graph is generated based on historical fault information; building equipment fault modes, energy consumption rules and space use efficiency are analyzed and excavated based on a fault knowledge spectrogram, and data fusion, intelligent analysis and closed-loop control are realized by constructing virtual mapping of a physical building through a digital twinning technology, so that a traditional operation and maintenance pain point is broken.

The invention discloses an outsourcing management monitoring system and method for maintenance, and relates to the technical field of outsourcing maintenance management. Comprising the steps of task and permission template binding, initial permission token generation, task state machine and smart contract association, context data capture and storage, task recovery and permission synchronization, permission recovery after acceptance and blockchain log storage. The system comprises ten functional modules and two core databases. Dynamic adjustment of the authority along with the task stage, seamless connection of data, automatic recovery of the authority and operation tracing can be realized, and the security and efficiency of outsourcing maintenance management are improved. The invention aims to solve the problems of permission staticization, task switching data breakage, permission recovery lagging and difficulty in tracing of the existing system.

The invention relates to the technical field of code security, in particular to a data stream compliance detection method and device based on code semantic rule-driven LLM, and the method comprises the steps: carrying out the normalization processing of a to-be-detected source code: removing annotation, null lines, unifying branch circulation into an if-else structure, and establishing lt; code lines and line numbers gt; performing mapping; constructing a code semantic rule knowledge base; generating a code intermediate expression by using LLM; generating an execution path for the intermediate expression, constructing a symbol table, and reasoning and positioning non-compliant variables and corresponding code lines according to a data flow rule; generating a detection report; the device comprises a code standardization processing function module, a knowledge base construction function module and other function modules for achieving the method, manual intervention is not needed, C / C + + code compliance can be automatically detected, the detection precision and efficiency are remarkably improved, and non-compliance positions can be accurately traced.

The invention discloses a multi-modal interaction method and system, electronic equipment and a storage medium, and relates to the technical field of image understanding, and the method comprises the steps: obtaining a language instruction input by a user and a target image, and extracting an interaction content region pointed by the language instruction from the target image; inputting the language instruction, the target image and the interaction content area into a multi-modal interaction model for multi-modal information fusion processing to obtain an interaction function identifier and a basic interaction parameter; generating complete interaction parameters according to the basic interaction parameters; and calling an interaction function module corresponding to the interaction function identifier to generate an answer to the language instruction according to the complete interaction parameter, and returning the answer to the user. According to the method, the image-text and interaction content area is identified through the multi-modal interaction model, and the text is complemented through light-weight OCR, so that the time delay can be effectively reduced, and the real-time efficient response requirement of a learning scene is met.

The invention discloses an inspection task configuration method and system based on a mandatory behavior interface and a structured scene file, and the method comprises the steps: providing functional module items which forcibly achieve a unified behavior interface in a graphical designer, and enabling a user to form an inspection flow chart through dragging; writing the flow chart into a structured scene file through a serialization method defined by an interface; the emulator and the deployment tool load the file respectively, function module items are reconstructed through deserialization, an execution method of the function module items is directly called for logic verification, or robot instructions are generated through analysis. According to the method, a unified interface is used for binding graphs and logics, a single scene file is used for connecting the whole process of design, simulation and deployment, the problems that in a traditional scheme, operation is complex, and data splitting and semantics are inconsistent are solved, the purpose that line is achieved through programming is achieved, the configuration threshold is remarkably lowered, and development efficiency and system reliability are improved.

The application discloses an installation prompting method, which comprises the following steps: acquiring first module information and second module information; the first module information is information of a first functional module to be installed corresponding to a preset area of the air conditioner; the second module information is information of a second functional module currently installed in the preset area of the air conditioner; determining a recommended installation position according to the first module information and the second module information; the recommended installation position comprises positions of the first functional module and the second functional module respectively recommended for installation in the preset area; and outputting installation prompting information according to the recommended installation position. The application also discloses an air conditioner and a computer readable storage medium. The application aims to improve the accuracy of the installation position of the functional module on the air conditioner, so as to improve the effect of the air conditioner on improving indoor air quality.

The invention relates to the technical field of very large scale integrated circuit design verification, and discloses a hierarchical cross-clock domain signal verification method, device and equipment and a medium. According to the method, on the basis of the physical layout information file corresponding to each functional module, the target functional module to be verified is dynamically, intelligently and accurately determined from the plurality of functional modules. And performing cross-clock domain signal verification on the previous level of the target function module by extracting the target sign-off abstract model of the target function module, and performing cross-clock domain signal verification on the top system of the whole chip by analogy. As clock domain crossing signal verification does not need to be carried out on all functional modules, the efficiency of chip verification can be improved, clock domain crossing signal verification, module level focusing functional module internal logic integrity verification and top layer enhanced module crossing asynchronous path analysis are carried out on the chip layer by layer through the target sign-off abstract model, and the chip verification efficiency is improved. Therefore, the accuracy of chip verification can be improved.

The invention discloses a multi-role collaborative transportation safety management and responsibility tracing method and system. The method comprises the following steps: S1, reporting an event, collecting travel data, identifying a security event through AI, and generating a unique event number for associated storage; s2, role and flow distribution: grading based on event information, determining participation roles by means of a built-in rule engine, and generating a processing flow and a task list containing logic association through a workflow engine; s3, multi-role cooperative processing and recording are carried out, the roles are operated according to a list, and the system automatically records the operation and forms a corresponding event processing chain; and S4, automatic responsibility tracing: based on the processing chain, generating a responsibility chain and a responsibility affiliation result through a hybrid mechanism. The system comprises a database, an event report and other functional modules for supporting the method. According to the invention, full-process closed-loop management from event grading and role allocation to cooperative processing and automatic tracing is realized, and the problems of low efficiency and difficult responsibility determination of multi-role cooperation are solved.

The invention provides an SoC system control method and device, electronic equipment and a readable storage medium, and the method comprises the steps: controlling a CPU large core to generate a control instruction, and writing the control instruction into a register; the control register analyzes the control instruction, determines at least one target function module associated with the control instruction, generates a corresponding enable signal and sends the enable signal to a control circuit corresponding to each target function module; and aiming at the control circuit of each target function module, controlling the control circuit to receive and analyze the corresponding enable signal, generating control information and sending the control information to the corresponding target function module, so that each target function module is configured according to the control information and executes the control instruction. Therefore, the configuration time of the CPU for configuring the functional modules one by one through the on-chip internet can be reduced, and the control efficiency of the SoC system is further improved.

The invention discloses an intelligent monitoring method and device based on thermal power plant shutdown energy-saving management. Aiming at the problems of alarm flooding, static prompt, dependence on artificial experience and the like existing in a traditional DCS alarm mode, shutdown related equipment is divided into 40 functional modules, historical operation data are modeled by combining a multivariate regression and multivariate state estimation method, parameter deviation conditions are monitored in real time, and a real-time monitoring result is obtained. And abnormal identification is realized through three types of functions of a fluctuation value, a reference value and a predicted value. Each module is provided with state judgment and fault diagnosis logic, and stop reminding and expert processing suggestions are automatically triggered according to conditions such as current, rotating speed and MFT signals. According to the invention, man-machine cooperative intelligent disk monitoring is effectively realized, potential risks are early warned in advance, energy-saving operation is guided, the operation and maintenance cost is remarkably reduced, and the safety, economy and automation level of the unit in the shutdown stage are improved.