12results about How to "Clear responsibilities" patented technology

The invention discloses an airborne equipment acceleration monitoring and outrange control method and system, which cover acceleration monitoring of the whole flight process, combine dynamic scene modeling and a hierarchical response mechanism, and can timely identify an abnormal state and start corresponding measures. Through system calibration, noise identification, dynamic filtering, mistaken touch prevention parameter setting and a collision algorithm, false alarm and missing alarm caused by vibration, impact or sensor faults are effectively avoided, double modes of automatic collision detection alarm and manual triggering alarm are supported, the flexibility and safety of the system are improved, and once it is confirmed that the system is in distress, the system is safe and reliable. Rescue signals including position, time, height and other key information can be automatically sent, and the emergency response time is remarkably shortened.

The invention discloses a man-machine instruction automatic generation external control system and method based on physical isolation perception. The system comprises an external execution body, a display sensing module, an artificial intelligence decision module and an input execution module. The local independent proxy device operates independently of the controlled system, acquires a screen display signal of the controlled system in one direction through an external display acquisition link, generates a control instruction based on acquired interface information, acts on the controlled system through a standard man-machine input interface, and constructs a closed-loop verification mechanism taking the screen display signal as a judgment basis. The information acquisition constraint, the judgment constraint and the execution authenticity constraint are followed, and verifiable confirmation of a control instruction execution result is realized. The system supports multi-mode triggering and external physical equipment extension control, solves the problems of insufficient safety, limited compatibility and poor verification reliability in the prior art, and is suitable for application scenes with high safety requirements.

The present application belongs to the field of embedded system and video stream processing technology, in particular to a method and system for dynamically processing multi-channel video data stream by dual operating systems, the first operating system and the second operating system are simultaneously run in the heterogeneous multi-core processor subsystem, the second operating system collects hardware state in real time and reports, the first operating system executes global resource allocation optimization algorithm and then issues to the second operating system for accurate execution, and can trigger part of reconfiguration. The second operating system creates real-time processing tasks for each video stream and executes in parallel, and reports performance indicators to the first operating system for global optimization decision, and completes configuration switching in the video frame gap. The present application organically combines the flexible management capability of general operating system and the deterministic response of real-time operating system, and realizes high concurrency, low delay, dynamic adaptation and high reliable processing of multi-channel video stream.

This invention discloses a multi-task operation ticket continuous printing system and method. The system includes: a status management module for centrally maintaining and managing the status of tasks, steps, and page numbers during the printing process; a dynamic layout calculation module for real-time measurement and pagination decisions on the operation ticket content, including a paginator unit to determine whether drawing is allowed based on the real-time remaining space on the page; and a structured drawing module for executing page drawing based on the layout calculation results, with its drawing cycle following a "measurement, decision, execution" process and synchronously updating the status. The method, based on the above system, forms a closed-loop control process through four steps: initializing the printing status, performing dynamic layout calculation, performing structured page drawing, and updating the printing status, which is executed cyclically until all tasks are completed. This invention achieves accurate dynamic content adaptation, intelligent pagination, globally continuous page numbers, and unified format output for multi-task, multi-step operation tickets, solving the problems of chaotic layout and difficult status management in existing technologies. The system architecture is clear and easy to maintain and expand.

The invention provides a maintenance data storage method based on an encryption technology, and relates to the technical field of industrial equipment maintenance data security. The method comprises the following steps that: terminal equipment acquires maintenance data, constructs an original data packet, and calculates an initial trust score of each transmission node; encrypting the original data packet and generating a digital signature, and constructing a security data unit; the transmission node performs verification and encrypted transmission in sequence to form an encrypted data link; the server calculates a dynamic trust score after receiving the data, verifies data integrity and updates a node trust score; generating a unique full-link traceability label for the verified data, and storing the unique full-link traceability label to the block chain; if verification fails, triggering an alarm and generating a responsibility definition report; and the authorized user can query full-link data through the traceability label. According to the method, the full-link credible traceability and tamper-proof protection of the maintenance data from generation to storage are realized, and the problem that the tamper link cannot be positioned and the responsibility cannot be defined by a traditional afterward verification mechanism is effectively solved.

The invention provides an aluminum wire forming control system, method and device based on load feedback, and relates to the technical field of material processing industry control. Comprising a load acquisition and historical window construction module, a load window segmentation identification module, a load memory feature extraction module, a load memory feature vector construction module, a load decoupling and equivalent load generation module, a control parameter inversion calculation module and a load memory state updating module. According to the method, a load historical window is taken as a core, continuous acquisition and segmented identification are carried out on a formed load, a load hysteresis characteristic and a historical residual effect are introduced, and the problem that traditional control only depends on an instantaneous load and is difficult to reflect historical influence is solved. A real-time load is split into an instant response component and a historical residual component, and historical residual influence is dynamically reduced, so that excessive compensation and control oscillation caused by load memory are avoided. By constructing a load intelligent control system, collaborative optimization of load sensing and control in the aluminum wire forming process is achieved.

The present application relates to the technical field of digital asset management, in particular to a digital asset right and interest management system, which comprises a right and interest identification module, a right and interest distribution optimization module, an operation instruction generation module, a right and interest circulation optimization module and an instruction distribution module.In the present application, through accurate collection and analysis of digital asset state information, efficient identification and dynamic distribution of digital asset right and interest are realized, the rights and responsibilities in the asset life cycle are ensured to be clear and transparent, the standardization and safety in the asset circulation process are improved, and through intelligent decision set optimization and abnormal processing, the response capability and efficiency of the system are enhanced.The optimized asset right and interest distribution and circulation decision, combined with real-time data and historical trends, reduces the efficiency bottleneck and information lag in the traditional management mode, improves the transparency, traceability and safety of asset management, and enables more accurate control and protection of digital assets in a decentralized environment.

The invention relates to the technical field of campus security and protection management, in particular to a smart campus intelligent security and protection early warning system, which comprises a data acquisition module used for acquiring campus security and protection data through a multi-dimensional security and protection device and a patrol robot; the vulnerability thermodynamic diagram construction module is used for constructing a risk simulation model to calculate the security vulnerability coefficient of each geographic grid unit of the campus, dividing risk levels and generating a vulnerability thermodynamic diagram; the early warning module is used for carrying out multi-dimensional analysis, identifying a security anomaly type and triggering corresponding early warning; the patrol scheduling module is used for dynamically planning patrol routes of the patrol robots, and when early warning is triggered, the patrol robot closest to an early warning area is scheduled to go to the site for checking; and the role collaboration module is used for pushing differentiated tasks to different security roles based on the risk level distribution and the early warning type of the vulnerability thermodynamic diagram. Therefore, the problems of single data dimension, risk perception lagging, resource scheduling stiffness, low efficiency of multi-role collaboration and the like are solved.

The invention discloses a method for supporting real-time development of marketing activities, and the method comprises the steps: enabling branches to autonomously maintain activity numbers, standard judgment types and white list data through a branch intelligent management platform which comprises a data storage module, a parameter checking module, a judgment execution module and an interface calling module; when a customer participates in an activity, a head office platform forwards a standard judgment transaction to a branch system, after the branch system checks parameters, judgment is executed in three types including white list judgment, real-time judgment and white list and real-time judgment, whether the customer is in a white list or not is judged and verified in the white list, and the state of the customer is verified by calling an external interface in real time. According to the method, the problems of slow response and incapability of real-time judgment of the head office are solved, the activity period is shortened, and the marketing efficiency is improved.

The application relates to a planetary gearbox fault diagnosis algorithm automatic generation system and method based on a large language model, which comprises the following modules: a large language model generation module, which is used for receiving prompt words, selecting parent planetary gearbox fault diagnosis algorithm and architecture component knowledge, and combining with the characteristics of the planetary gearbox fault diagnosis task to call the large language model to generate new planetary gearbox fault diagnosis algorithm code; a dynamic code execution and verification module, which is used for code execution and verification; an architecture evaluator module, which is used for training and performance evaluation; an intelligent evolution strategy module, which is used for analyzing the training history and obtaining an analysis result; a program database module, which is used for storing and managing the population of the planetary gearbox fault diagnosis algorithm and constructing prompt words; and an evolution control engine, which is used for coordinating and controlling the work processes of the modules and controlling the number of iterative evolutions to realize evolution circulation. Compared with the prior art, the application has the advantages of automatic generation, iterative evolution and the like.

The invention discloses a compound control method and system for oxygen content and furnace pressure in a hydrogen furnace. The method comprises the steps that oxygen information and pressure information in the hydrogen furnace and flow information of hydrogen entering and exiting the hydrogen furnace are obtained in real time; determining the type of a trigger adjustment mode according to the oxygen information and the pressure information; when the oxygen information is larger than an oxygen safety control parameter, an oxygen control adjusting mode is triggered, when the pressure information exceeds a pressure safety constraint condition, a pressure control adjusting mode is triggered, and when the oxygen information and the pressure information are both in a normal state, a steady-state adjusting mode is maintained; according to the determined adjusting mode, through cooperative calculation of the hydrogen flow information, the oxygen information and the pressure information, the opening degree of a gas inlet adjusting valve and / or a gas outlet adjusting valve arranged at the inlet and outlet of the hydrogen furnace is obtained; and the opening degree of the valve is adjusted. The problem that in an existing hydrogen furnace pressure control system, oxygen content and pressure control are mutually independent and cannot be cooperatively regulated and controlled can be solved.

The invention relates to the technical field of power system safety monitoring, and provides an intelligent power fire early warning system with a self-learning capability, which comprises a field sensing layer, a gateway layer, a server layer and an interaction layer, the field sensing layer comprises an electrical parameter acquisition module, a thermal parameter acquisition module and a fault feature acquisition module; the gateway layer comprises a data acquisition module which is responsible for collecting, converting, synchronizing and uploading data of each sensor of the field sensing layer; the server layer comprises a data processing module, a feature extraction module, a historical database, a self-learning analysis module, a disposal suggestion generation module and a man-machine interaction interface; the interaction layer comprises a linkage control interface and a user terminal. According to the invention, through two key technologies of multi-parameter fusion and closed-loop self-learning, two core defects of single monitoring dimension and static stiffness of an early warning model of a traditional power fire early warning system are fundamentally solved.