11results about How to "Improve safety and reliability performance" patented technology

The application provides a new energy mine truck thrust rod fatigue life prediction method, belonging to the field of federated learning and application technology. First, a multi-mine area multi-source fatigue feature dataset is constructed. Then, a double-layer neural network structure based on Bayesian modeling is designed, including a sparse prior generation module, a thrust rod time series feature encoding module and a thrust rod residual life Bayesian prediction module, to realize model parameter sparsification, time series feature expression and uncertainty quantification. Further, a graph structure based federated training and information aggregation mechanism is adopted, combined with global aggregation and local graph modeling strategy, to realize knowledge sharing and personalized adaptation between different mine areas. Finally, an online fine-tuning mechanism based on uncertainty driving is proposed, realizing rapid adaptive optimization of the global model in the new mine area environment through Bayesian inference. The method can significantly improve the accuracy, robustness and cross-domain generalization ability of thrust rod life prediction while ensuring data privacy.

This utility model relates to the field of bellows control valve technology, and in particular to an integrated welded bellows control valve, comprising a valve body with a flow channel, a matching valve seat and valve core on the flow channel, a valve stem on the valve core, a bellows, an upper valve cover support ring, and a connecting pipe. One end of the connecting pipe is welded to the valve body, and the other end of the connecting pipe is fixedly connected to the upper valve cover. The support ring is sealed between the other end of the connecting pipe and the upper valve cover. In use, this integrated welded bellows control valve replaces the original separate bellows seal with a seal between the integrated welded bellows connecting pipe and the upper valve cover, a seal between the upper valve cover and the valve stem, and a welded seal between the connecting pipe and the valve body. This multi-seal structure greatly reduces the possibility of media leakage. Simultaneously, the anti-rotation mechanism between the valve core and the valve body further stabilizes the valve structure, thereby improving the valve's sealing performance and safety reliability.

This utility model discloses a cyclone separator for a biomass circulating fluidized bed boiler, comprising a flue gas inlet section, a gas-solid two-phase separation section connected to the flue gas inlet section, a flue gas outlet section connected to the top and bottom of the gas-solid two-phase separation section respectively, and a solid return section. The solid return section includes multiple coaxially connected and fixedly connected solid return straight sections and multiple solid return conical sections, which are arranged at intervals in the vertical direction. Flue gas flows in from the flue gas inlet section, rotates along the inner wall of the gas-solid two-phase separation section, and achieves gas-solid two-phase separation through centrifugal force. The gas phase flows out through the flue gas outlet section, and the solid phase is returned from top to bottom through the solid return section. Through segmented and optimized solid return path and gas-solid separation flow field, the intermittent blockage problem caused by alkali metal adhesion in traditional cyclone separators is solved, avoiding forced boiler load reduction or shutdown. It is especially suitable for biomass combustion scenarios with complex fuel types and variable ash composition.

This application provides a machine learning-based intelligent cargo loading method and system, applied in the fields of artificial intelligence and air logistics technology. By collecting and processing multi-dimensional feature data of cargo, feature vectors and physical constraint parameters are constructed. With the help of a pre-trained deep learning model group, the stackability, fragility, and center of gravity stability of cargo after stacking are intelligently predicted. By combining the prediction results and constraint parameters, a multi-objective optimization model is established and the optimal stacking scheme that takes into account space, safety, and efficiency is solved. During execution, a real-time safety verification and dynamic backtracking mechanism are introduced to ensure the stability and reliability of the loading process. Through an online learning mechanism, actual operation data is accumulated to continuously update model parameters and optimization weights, realizing the system's self-evolution and closed-loop optimization. This achieves a fundamental transformation from unreplicable personal experience to sustainable evolution of system intelligence, significantly improving the intelligence level, safety reliability, and long-term operational efficiency of air cargo loading.

This invention relates to a new energy battery cooler, belonging to the field of new energy vehicle battery cooling technology. The new energy battery cooler includes a battery base, a controller, a protective shell, and a battery pack. The controller and protective shell are fixedly installed on the top of the battery base, and the battery pack is disposed inside the protective shell. A cooling flow guiding mechanism is included, comprising a contact shell, a cooling component, and a heat-conducting component. The contact shell is fixedly installed on the outside of the battery pack. By setting a cooling flow guiding mechanism on the outside of the battery pack, a passive adaptive flow guiding function not found in traditional liquid cooling structures is achieved. A composite layer of shape memory alloy memory valves and phase change microgrids is introduced into the cooling channel. When the battery pack locally heats up, the phase change layer absorbs and diffuses heat, while the memory valves deform to expand the channel cross-section, causing the coolant to automatically increase flow to the hot spot area to enhance heat transfer. This dynamically adjusts the local cooling capacity and significantly improves temperature uniformity.

This invention provides a double-layer explosion-proof electric heating tube and its manufacturing method, comprising: a double-layer tube body, the double-layer tube body including an inner tube body and an outer tube body arranged coaxially, a first chamber formed within the inner tube body, and a second chamber formed by a gap between the inner tube body and the outer tube body; a heating wire disposed within the first chamber; end caps fixed at both ends of the double-layer tube body, forming a sealed cavity between the first chamber and the second chamber; a cooling needle disposed on the end caps and electrically connected to the heating wire; and filler made of an insulating and thermally conductive material, filling the first chamber and the second chamber. This double-layer explosion-proof electric heating tube significantly improves the safety, reliability, and service life of the heating tube through structural redundancy, making it particularly suitable for applications with high requirements for explosion protection and insulation.

This utility model belongs to the field of architectural decoration engineering technology, and discloses a large-area roof truss ceiling module and a transfer layer system, including a load-bearing transfer layer. The load-bearing transfer layer is formed by orthogonally welding multiple X-direction and Y-direction transfer angle steels to form a grid structure. Several height-adjustable vertical support rods are connected to the X-direction and Y-direction transfer angle steels of the load-bearing transfer layer. A connecting plate is fixedly connected to the top of the vertical support rod, and expansion bolts are provided on the connecting plate. Hanging rods are provided on the X-direction transfer angle steels of the load-bearing transfer layer, and hangers are connected to the bottom of the hanging rods. Modular ceiling units are provided below the load-bearing transfer layer. This invention achieves a balance of high stability, construction efficiency, safety and reliability, and economy through the innovative combination of a grid-based transfer layer, an adjustable support system, and modular ceiling units. It is particularly suitable for the needs of modern buildings for large spaces, irregular ceiling shapes, and rapid construction.

The application is a kind of bridge ship unloader luffing wire rope replacement method, comprising the following steps: S1, limit removal and program sealing point; S2, arrangement of traction wire rope; S3, new wire rope traction to trapezoidal frame platform and old wire rope connection; S4, old wire rope traction new wire rope into machine room; S5, release old wire rope; S6, new wire rope connection reel and debugging; S7, set luffing zero and restore related limit. The application changes the complex mode of traditional wire rope replacement, optimizes the luffing wire rope replacement method, effectively reduces the maintenance time and maintenance personnel, improves the work efficiency and safety and reliability.

This invention discloses an AI-driven big data fusion-based anti-misoperation interlocking system for wind farm booster stations, relating to the field of anti-misoperation interlocking technology for wind farm booster stations. It includes a data acquisition module that collects real-time electrical parameters, operating status, and environmental parameters of the equipment, and uploads them after preprocessing; a big data fusion storage module that categorizes and stores multiple types of data according to a hierarchical strategy, optimizing access and retrieval; an AI intelligent analysis and decision-making module that integrates multi-source data to generate precise interlocking strategies; an anti-misoperation interlocking execution module that executes interlocking in a three-level mode and provides status feedback; a communication interaction module that achieves internal and external data interaction through a dual-mode architecture; a status monitoring module that monitors the operating status of each module and identifies faults; and an emergency handling module that initiates a response mechanism and restores operation after self-checking following fault resolution. This invention relies on AI and big data fusion technology, dynamically adapting interlocking thresholds to equipment and environmental conditions; supporting unattended operation and intelligent maintenance, providing reliable assurance for the safe operation of wind farm booster stations.

The utility model discloses a kind of self-cleaning reaction kettle, including tank body, the top of tank body is fixedly connected with first driving motor, the driving end of second driving motor is fixedly connected with rotating rod, the outer wall of rotating rod is rotatably connected with tank body by sealing bearing, the bottom both sides of rotating rod are fixedly connected with stirring blade.The utility model relates to the technical field of reaction kettle self-cleaning, by scraper adhering tank body inner wall and reciprocating motion cleaning dirt residue, cooperate bottom annular showerhead real-time flushing to improve cleaning efficiency, utilize mounting plate support threaded rod to realize stable rotation and axial movement, by second driving motor drive threaded rod drive annular magnet and threaded sleeve up and down movement, again through magnetic block transmission realizes the overall vertical movement of scraper assembly, to complete tank body inside omnibearing automation cleaning, completely solve the labor intensity big, efficiency low and the high security risk problem caused by contact corrosive and toxic material existing in traditional manual reaction kettle cleaning.

Embodiments of the present application provide a design method and device for a hydraulic oil tank of a civil passenger aircraft, computer equipment and a medium, wherein the method comprises: determining basic parameters including system inherent volume, oil physical properties and extreme working conditions, calculating system total demand volume and initial oiling volume according to the basic parameters; substituting the initial oiling volume into complete flight profiles under cold and hot temperature working conditions respectively, dynamically analyzing oil tank oil volume change curves caused by temperature changes and actuator actions in each flight stage, and extracting a global minimum oil volume; if the global minimum oil volume does not meet the oil absorption safety margin requirement, iteratively adjusting the initial oiling volume and dynamically simulating and analyzing the oil tank oil volume change curve in combination with the complete flight profile until a new global minimum oil volume meets the oil absorption safety margin requirement, determining the volume of the hydraulic oil tank according to the new global maximum oil volume, and adjusting the structural design of the hydraulic oil tank. The scheme improves the efficiency and accuracy of the hydraulic oil tank design.