8results about How to "Consistency and stability" patented technology

The invention discloses a bridge bearing capacity dynamic evaluation method based on multi-source monitoring data driving, and aims to solve the problem that the bearing evaluation precision is difficult to guarantee under a sparse sensing coverage condition. According to the method, through cross-modal attention alignment guided by event anchor points, mask codes influencing line and propagation time delay constraints and geometric position coding, Green function kernels and time-varying boundary flexibility latent variables are introduced into a physical constraint neural operator model, symplectic integral propulsion is adopted, and block shape-preserving interval estimation and order-preserving calibration weighted according to working conditions are adopted. According to the method, the full-bridge space-time response and the bearing utilization coefficient are calculated, the risk level and the load limiting suggestion are output, and the technical effects of reliability improvement, physical consistency and long-time energy stability evaluation under the complex working conditions and the low signal-to-noise ratio are achieved.

The application provides a fiber-optic Fabry-Perot sensor based on light beam convergence and a manufacturing method thereof, and relates to the technical field of semiconductors. The sensor comprises a diaphragm layer, an intermediate layer and a bottom layer which are arranged in layers; the diaphragm layer is provided with a first groove, the intermediate layer is attached to the diaphragm layer in a manner that a first layer surface thereof faces the first groove, so as to form a Fabry-Perot cavity based on the first groove; the bottom layer is provided with a second groove, the intermediate layer is attached to the bottom layer in a manner that a second layer surface thereof faces the second groove, so as to form a nano-containing cavity based on the second groove; the second layer surface of the intermediate layer is formed with a micro-nano anti-reflection structure comprising array-distributed anti-reflection units located in the nano-containing cavity; and the bottom layer is formed with a micro-nano collimation structure comprising array-distributed collimation units located in the nano-containing cavity and in a symmetrical positional relationship with the micro-nano anti-reflection structure. The application at least reduces the manufacturing complexity.

The application discloses a kind of 3D printing composite material and preparation method thereof, it is related to 3D printing functional composite material and flexible electronic material technical field.The application is prepared when composite material, with thermoplastic polyurethane as flexible matrix, graphene, carbon nanotube is synergistic conductive filler, by solution dispersion, melt blending, fused deposition forming and microwave surface enhancement is obtained.The application utilizes graphene sheet layer support and carbon nanotube bridging effect, constructs continuous efficient conductive network under low filler, solves the industry pain point that traditional material filler is highly dependent, printing is poor, electrical stability is insufficient, has excellent printability, piezoresistive response and cycle stability, and is suitable for flexible sensing, wearable electronics, structure function integrated device.

The application provides a kind of unmanned ship consistency control method and equipment, it is related to unmanned system cooperative control technical field.The method comprises: according to the real-time state of the unmanned ship and the state of the unmanned ship at last event trigger time, construct real-time local measurement error;According to the state of the unmanned ship at last event trigger time and the state of all adjacent unmanned ships of the unmanned ship, construct joint error;Based on the real-time local measurement error and joint error of each unmanned ship, judge whether event trigger condition is satisfied, when any unmanned ship satisfies event trigger condition, obtain and according to the state of the unmanned ship at event trigger condition satisfying time, the state of the adjacent unmanned ship of the unmanned ship and unmanned ship controller gain matrix, update the controller output of the unmanned ship and the adjacent unmanned ship of the unmanned ship, carry out consistency control to each unmanned ship according to controller output;The application can accurately and safely carry out multi-unmanned ship consistency control under the condition that system model is unknown.

This utility model discloses an ultrasonic scanning sealing fixture for power modules, including a positive pressure waterproof sealing box. The positive pressure waterproof sealing box includes an upper cover plate, a sealing box base, sealing box buckles, and sealing box pins. The sealing box buckles are disposed on the upper cover plate, and the sealing box pins are installed on the sealing box base via pins. The pins are equipped with elastic elements for switching the sealing box pins to an engaged state with the sealing box buckles. Multiple sealing box buckles are provided, and each side of the upper cover plate has a sealing box buckle. This utility model's ultrasonic scanning sealing fixture for power modules solves the problem of uneven product locking force by adding multi-sided multi-pin locking and adopting a vertical closing method, making the overall locking consistency and product stress more stable, improving the overall sealing performance of the fixture and the service life of the cover plate.

The invention discloses a point cloud map determination method and device, equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: acquiring point cloud data, inertial measurement data and GNSS data; based on the point cloud data and the inertial measurement data, utilizing a laser mileage calculation method to obtain corrected point cloud data, first global pose data and relative pose data; determining second global pose data under the GNSS data coordinate system; based on the corrected point cloud data, the relative pose data and the second global pose data, constructing an initial factor graph to determine a relative pose constraint in the window and a relative pose constraint between the windows; determining a GNSS relative pose constraint based on the second global pose data and the GNSS data; and obtaining a target factor graph based on the initial factor graph, the GNSS data, the in-window relative pose constraint, the inter-window relative pose constraint and the GNSS relative pose constraint, and carrying out graph optimization processing on the target factor graph to obtain a point cloud map.

This invention relates to a method and system for predictive and proactive control of cigarette machine production quality based on operating condition parameters, belonging to the fields of tobacco machinery manufacturing, industrial automation control, and artificial intelligence. It includes: real-time acquisition of multi-dimensional operating condition parameters during cigarette machine operation; data preprocessing; acquisition of multi-dimensional time-series feature input sequences; construction of a time-series prediction model based on a long short-term memory network and incorporating an attention mechanism; training the time-series prediction model using the time-series feature input sequences; inputting the real-time operating condition feature sequences into the trained model to obtain key quality indicators; establishing a multi-index quality evaluation system using the analytic hierarchy process (AHP); comprehensively evaluating key quality indicators and other key quality indicators to obtain quantitative scores; and initiating graded quality early warning signals based on the degree to which the quantitative scores deviate from target values, using the early warning signals to drive parameter adjustments in the cigarette machine control system, thereby achieving proactive correction of quality deviations.

The application discloses an intelligent control OCA integrated processing control system, and relates to the technical field of automatic processing equipment control. The process time sequence acquisition module continuously acquires the execution time, the running beat, the material position change, the code spraying moment and the detection triggering state of each process during the integrated processing control operation process, and combines them according to the actual occurrence sequence to form a process time sequence record. The application continuously acquires the process execution time, the beat and the state information, establishes the process time sequence record, accurately reflects the actual execution sequence and realizes the time sequence backtracking. The time difference record drives the beat revision and the execution control, the time compensation and the beat misplacement insertion are utilized to realize the process synchronization and self-adjustment, and the stable coordination of the processing process, the consistent quality and the control precision improvement are guaranteed.