8results about How to "Fast iteration" patented technology

This invention relates to a method and system for automated generation of TSN network configurations based on a reflective agent. The system comprises a network state perception and intent reflection module, a YANG model configuration parameter and structure decision module, and a YANG model intelligent generation module. The network state perception and intent reflection module is responsible for structurally perceiving network state and resource information. The YANG model configuration parameter and structure decision module integrates multi-source knowledge and contextual information, intelligently generating deployable TSN scheduling parameters and YANG configuration structures based on business needs. The YANG model intelligent generation module automatically generates the corresponding YANG configuration model based on the optimized results, performs syntax and semantic verification, and then distributes it to the target device, achieving automated deployment of network configurations. This invention significantly improves the intelligence level and deployment automation capability of TSN network configuration by introducing reflective reasoning and feedback optimization techniques.

This application discloses a method, system, device, and medium for improving the activation rate of intelligent driving functions. The method includes: receiving user behavior data and vehicle status data sent by the vehicle; constructing a user profile based on the user behavior data and vehicle status data, and identifying key negative scenarios affecting the activation rate; generating an intelligent driving function activation guidance strategy based on the user profile and the key negative scenarios; and pushing the intelligent driving function activation guidance strategy to the vehicle, so that the vehicle activates the intelligent driving function according to the strategy. This application achieves precise personalization and rapid iteration of the guidance strategy, thereby systematically and efficiently improving the user activation rate of intelligent driving functions.

The application discloses a low-redundancy minimal data table design method and system for industrial ERP / MES, and belongs to the technical field of industrial digitization and database architecture. The application realizes low redundancy, low association, high performance and easy maintenance of the data table through full-service field collection, default single-table aggregation, controllable split constraint, weak association mapping, unified data entry and minimal query control. The application forces single-table priority, splits at most into two tables, and performs at most one association in regular query, thereby solving the problems of excessive split, complex association, poor performance and difficult maintenance in traditional design from the root, and has the advantages of minimalism, high efficiency, stability and easy expansion, and is suitable for various ERP / MES / WMS industrial management systems and has been applied in actual production environment.

This utility model relates to the field of infrared detection technology, specifically to a portable intelligent infrared diagnostic instrument. It includes a housing and an infrared lens mounted on the upper part of the housing, as well as a clamp mounted on the lower part of the housing and a downward-protruding platform on the lower left or right side of the housing. The clamp includes a fixed base plate on the lower part of the housing, a rear baffle fixed to the rear end of the fixed base plate, a front baffle spaced at the front end of the fixed base plate, a mounting hole and an adjusting screw hole on the front end of the fixed base plate, a clamping spring and a guide rod in the mounting hole, an adjusting through hole on the front baffle, an adjusting screw in the adjusting through hole, and a knob on the outer end of the adjusting screw. This design achieves stable clamping of the infrared diagnostic instrument to a smartphone through the clamp, and enables data communication with the phone via a Type-C connector. It fully utilizes the powerful computing capabilities and rich interface resources of the smartphone, achieving a miniaturized, lightweight, and high-performance infrared diagnostic instrument.

This utility model relates to an electrolyzer device and hydrogen production equipment, which includes a support assembly, an electrolyzer assembly, and a hydraulic assembly. The electrolyzer assembly includes multiple electrolysis chambers arranged sequentially along a first direction, and each electrolysis chamber is slidably connected to the support assembly; the power output end of the hydraulic assembly is fixedly connected to one end of the electrolyzer assembly; and the hydraulic assembly can drive the electrolysis chambers to move along the first direction. In the above-mentioned electrolyzer device and hydrogen production equipment, since the power output end of the hydraulic assembly is fixedly connected to one end of the electrolyzer assembly, the movement of the electrolysis chambers along the first direction can be achieved by driving the hydraulic assembly, thereby changing the distance between the multiple electrolysis chambers, thus realizing the rapid sealing or disassembly of the electrolyzers, making the disassembly and assembly efficiency of the entire electrolyzer high, thereby improving the development progress of the electrolyzer and meeting the needs for rapid testing, rapid iteration, rapid development and market launch of new materials and new products.

The present application relates to a kind of physical reinforcement neural network-based fabric constitutive parameter fast identification method, comprising the following steps: 1), the macroscopic tensile, shear and bending test are carried out to the fabric sample to be identified, while collecting microstructure image, obtain multiscale feature dataset;2), physical reinforcement neural network model forward inference: the multiscale feature dataset is input into pre-trained physical reinforcement neural network;3), the complete constitutive parameter vector of target fabric is inferred and output by physical reinforcement neural network model;4), physical consistency verification: with constitutive parameter vector as input, drive finite element simulation, compare quantitatively the mechanical response curve of simulation output and measured curve, if error exceeds threshold value, then trigger adaptive fine-tuning process;5), physical reinforcement neural network model is continuously trained and updated.The present application can realize the constitutive parameter identification of fast, small sample, high precision for new variety fabric.

This invention proposes an integrated touch display testing device and system, belonging to the field of automated testing technology for flat panel displays and touch modules. The system includes: a network construction module: identifying multiple interface protocols of the touch display module and generating interface compatibility data; dynamically configuring LVDS, MIPI, and EDP multi-channel transmission links based on the interface compatibility data to construct an adaptive interface communication network; this integrated touch display testing method significantly improves the compatibility of the testing equipment with multi-protocol modules such as LVDS, MIPI, and EDP through multi-interface adaptive transmission technology, eliminating test interruption problems caused by interface incompatibility.

This application relates to the field of aero-engine aerodynamic stability design and simulation technology, and discloses a method for predicting the stability boundary under compressor back pressure disturbance in a whole-engine environment. The method includes the following steps: constructing a low-dimensional lumped parameter model of the whole system, including a rotating component excitation disk model and a stationary component cavity piping model. By injecting time-varying unsteady heat source terms into the combustion chamber cavity energy equation, the pressure pulsation environment inside the combustion chamber is simulated. While maintaining a constant rotational speed, a numerical propulsion strategy is used to gradually increase the average heat release rate to improve the back pressure, and a set of unsteady conservation equations is used for transient solution. The aerodynamic parameter response is monitored in real time, and the instability state is identified based on backflow or oscillation criteria to accurately locate the surge boundary point. Finally, the dynamic stability boundary line under back pressure disturbance is generated by fitting across the entire rotational speed range. This invention can quantitatively evaluate the impact of combustion unsteady disturbances on compressor stability, providing an accurate basis for engine stability design.