18results about How to "Solve inefficiency" patented technology

The invention discloses a two-stage multi-mode bearing fault diagnosis method based on a pre-training large model, and belongs to the technical field of bearing fault diagnosis. The method aims at solving the problems that a traditional method is poor in generalization and poor in robustness under multiple working conditions and small sample conditions. The method comprises the following steps: firstly, constructing a learnable multi-modal Tokens which comprises a multi-scale patch Token, a feature Token and a fault Token, and realizing efficient extraction and fusion of multi-modal features; a time-frequency semantic fusion module is introduced, and comprehensive time-frequency features are output through adaptive frequency coding, time coding and multi-modal fusion; and inputting the multi-modal feature sequence into a pre-training BERT model, and adopting a two-stage training strategy, in the first stage, performing self-supervised pre-training by taking mask signal reconstruction as a target, and in the second stage, performing parameter fine tuning by taking fault classification as a target. According to the method, the diagnosis accuracy and the cross-working-condition generalization ability under the small sample condition can be remarkably improved.

The invention relates to the technical field of vehicle cleaning equipment, in particular to a vehicle cleaning device which comprises a rack, a clamping assembly, a cleaning assembly and a conveying assembly. A stopping area and a cleaning area are arranged at the rack; the clamping assembly is used for clamping a vehicle; the cleaning assembly is arranged in the cleaning area and used for cleaning a to-be-cleaned part of the vehicle; the clamping assembly is arranged on the conveying assembly, the conveying assembly moves to drive the clamping assembly to get close to the cleaning area, the clamping assembly moves and gets close to the cleaning area to drive the vehicle to get close to the cleaning area, and the cleaning assembly can clean the to-be-cleaned part. According to the vehicle cleaning device, the vehicle is clamped through the clamping assembly, then the conveying assembly drives the clamping assembly to move so that the clamping assembly can clamp the vehicle to enter the cleaning area, and the vehicle is suspended so that the to-be-cleaned part of the vehicle can be cleaned in the cleaning area; the problems that in the prior art, manual vehicle cleaning is low in efficiency, and the production process is hindered are solved.

This invention discloses a page-turning method, system, electronic device, and storage medium based on the binary search method, improving page-turning efficiency and user experience in scenarios with a large number of pages. The method includes: page-turning preprocessing: including setting intermediate variables to identify the page search range and the current page; initializing the page-turning interval and button availability: determining the overall page range of the data matrix, establishing an initial search interval, and setting the initial availability of the "forward" and "backward" buttons according to the initial page situation; iteratively executing page-turning operations and updating the search interval: the user triggers intermediate page calculation by clicking the "forward" or "backward" button, updates the search interval according to the positional relationship between the target page and the current page, and repeats this process until the target page enters the page-turning display bar; when the page-turning termination condition is reached, the iteration stops, the target page is located, and the page-turning process is terminated; the page-turning result is output, and the status of the "forward" and "backward" buttons is adjusted according to whether the page-turning boundary or upper limit has been reached.

The utility model relates to a kind of non-excavation light curing repair hose manufacturing technical field, specifically to a kind of light curing hose forming machine. Including the conveying assembly for pushing multiple layers of flat cloth, the cloth folding assembly for the layering folding of multiple layers of flat cloth, cloth folding assembly is located above conveying assembly, cloth folding assembly is fixedly connected with conveying assembly. The utility model is sequentially arranged in conveying direction by multiple cloth folding units (each unit corresponds a layer of cloth), realizes the continuous, sequential folding (from top to bottom) of multiple layers of flat cloth, avoids the low-efficiency problem of traditional manual or single-layer processing, significantly improves production efficiency, and can handle multiple-layered structure simultaneously, facilitating subsequent sewing into hose. Conveying assembly promotes cloth movement, and cloth folding assembly automatically completes folding, without interrupting the process, reducing manual intervention.

This invention discloses an intelligent scheduling system for water conservancy projects that integrates knowledge graphs, belonging to the fields of water conservancy engineering and artificial intelligence technology. It includes: a data access module, a graph construction module, a graph feature module, a decision generation module, and a constraint verification module. The data access module acquires multi-source heterogeneous monitoring data from the water conservancy project monitoring network; the graph construction module maps the data to a water conservancy project knowledge graph; the graph feature module performs feature propagation and aggregation on entity nodes based on a graph neural network to generate node embedding feature vectors; the decision generation module calculates attention weights based on an attention mechanism-based scheduling decision model to generate a preliminary scheduling scheme; the constraint verification module calls the engineering constraint rules in the knowledge graph to perform conflict detection. If a conflict is found, the associated entity nodes are backtracked, the attention weights are corrected, and the scheme is regenerated until a target scheduling scheme satisfying all constraints is obtained. This invention can effectively improve the compliance and global optimization capability of water conservancy project scheduling schemes.

This application discloses a method for reconstructing the spatial distribution of regional rainfall based on deep learning, belonging to the field of deep learning technology. The method includes: acquiring the elevation and monthly rainfall of each grid within a target area; dividing the area into feature sub-regions based on the numerical distribution of the grid's elevation, slope, monthly rainfall, and monthly rainfall variation gradient; randomly deploying rain gauges within each feature sub-region to construct a feature mask; selecting rainfall reference data to correct rainfall observation data to obtain rainfall label data; selecting rainfall label data and feature masks from the training period to train the model; selecting rainfall label data and feature masks from the testing period to test the trained model; and obtaining recommended deployment areas for rain gauges based on the test results. This application can more accurately reconstruct the spatial distribution of regional rainfall under limited rain gauge conditions, effectively supporting extreme weather prediction and water resource assessment, while optimizing the station network layout and achieving a balance between accuracy improvement and cost control.

The invention relates to the technical field of solar cell manufacturing, in particular to a space silicon solar cell and a solar cell array, which comprise a silicon-based solar cell piece and a metalized interconnection electrode, the metalized interconnection electrodes are symmetrically arranged on the front face and the back face of the silicon-based solar cell piece, a plurality of metalized interconnection electrodes are arranged on each face, and the cross section of each metalized interconnection electrode is in a trapezoid shape. And one surface, far away from the silicon-based solar cell, of the section serves as a welding surface and is used for being connected with an interconnection welding strip. According to the space silicon solar cell and the cell array thereof provided by the invention, by adopting the trapezoidal metallization interconnection electrodes, a full-penetration lamination welding interconnection mode and an optimized packaging structure design, the reliability of the solar cell array in a space extreme environment is remarkably improved on the premise that the photoelectric conversion efficiency is maintained; and meanwhile, the cost is effectively reduced.

This invention relates to the field of the Internet of Things (IoT) for power systems, providing a collaborative reasoning method, system, and electronic device for power edge intelligence. The method includes: predicting the computational complexity of a task based on acquired task data by edge intelligent nodes; determining whether to offload the task to multiple edge intelligent nodes in an edge computing network for distributed collaborative reasoning based on the task's computational complexity; when determining to offload the task to multiple edge intelligent nodes for distributed collaborative reasoning, acquiring the status information of the currently available edge intelligent nodes in the edge computing network, and determining a task partitioning strategy among the currently available edge intelligent nodes based on the status information; offloading the task to the currently available edge intelligent nodes according to the task partitioning strategy; and completing the task's reasoning computation collaboratively through the collaboration of the currently available edge intelligent nodes. This invention enables power edge cluster collaboration, optimizing inference latency and load balancing.

The utility model relates to a kind of angle adjustable snow machine, with movable base, multiple rollers are equipped on movable base, snow making cylinder is equipped on movable base, the snow spraying end of snow making cylinder is equipped with water ring and multiple spray pipes, the snow spraying end of snow making cylinder is further equipped with air ring and multiple, air pipe, the tail end of snow making cylinder is equipped with air blower, adjusting assembly is equipped on movable base, adjusting assembly includes drive motor, rotating platform and rotating support, driving gear is fixedly arranged on connecting shaft, adjusting rotating rod is equipped on rotating platform, driven gear is equipped on the lower end of adjusting rotating rod, thread part is equipped on adjusting rotating rod, limit block is equipped on the top of adjusting rotating rod, transmission block is sleeved on thread part, threaded hole is equipped on transmission block, link is equipped on the side of transmission block, side edge sliding slot is equipped on the side wall of snow making cylinder, side edge sliding block is slidably arranged in side edge sliding slot, link is rotatably connected on side edge sliding block.The utility model structure is ingenious, convenient and practical.

This utility model discloses a pen barrel assembly line stacking device, including an X-axis moving mechanism on an injection molding machine that can reciprocate along the Y-axis via a Y-axis lead screw module, lifting electric lead screws A and B mounted on the X-axis moving mechanism that can reciprocate along the X-axis, a stacking robot mounted at the bottom of the lifting electric lead screw B, a material picking and breaking robot mounted at the bottom of the lifting electric lead screw A, and a belt conveyor located on one side of the injection molding machine. The device features an automatic material picking and breaking robot that picks up materials from the injection molding machine, conveys them to a clamping mechanism for pressing and breaking, and then uses the stacking robot to clamp the pen barrels on the clamping mechanism, automatically conveying them to a pen barrel storage box for stacking. The belt conveyor can also move the pen barrel storage box, ensuring that when the box is full, it can be moved to replace it with a new one to continue loading pen barrels. The entire process is more intelligent and efficient, solving the problem of inefficiency in manual operation.

This application relates to the field of flange assembly equipment, specifically disclosing a flange assembly machine, which includes a frame, a pipe clamping mechanism, two storage cylinders, and two flange clamping and moving mechanisms. The device uses the pipe clamping mechanism to precisely position the pipe, and utilizes the coordinated operation of the storage cylinders and the flange clamping and moving mechanisms to achieve automatic storage and precise assembly of the flanges. The storage cylinders employ a unique arched plate structure design, combined with a movable push plate to push materials; the flange clamping and moving mechanisms ensure accurate flange positioning through an outer ring and pressure-holding components. Furthermore, numerous detailed optimizations, such as the application of reinforcing rings, limiting pressure blocks, and sliding components, further enhance overall stability and ease of operation. This application achieves the effects of improving flange assembly efficiency, reducing reliance on manual labor, and ensuring assembly accuracy.

The utility model discloses a kind of milling cutter for aluminium with spiral chip flute structure, including support frame, cylinder, connecting seat, milling cutter for aluminium and brushing assembly, support frame is fixed on external machine tool, cylinder is fixed at support frame top center, connecting seat is connected in the telescopic part of cylinder, and located in support frame, milling cutter for aluminium is locked on connecting seat.The beneficial effects of the utility model are:in the utility model, when driving milling cutter for aluminium up and down movement by cylinder, simultaneously drive roll brush to roll along the surface of milling cutter, realize the collaborative operation of lubricating oil brushing and processing action, solve the low efficiency problem of manual operation, and the mechanical coupling design of brushing assembly and the movement track of milling cutter for aluminium, avoid additional power source intervention, the technical scheme is embedded in milling processing flow by mechanical linkage and structural innovation, lubricating oil brushing process, not only solve the efficiency bottleneck and uniformity problem of manual brushing, but also reduce maintenance cost and environmental pollution risk through accurate oil control.

The invention relates to the technical field of amorphous alloy mechanical and magnetic coupling, and discloses a method for preparing an iron-based amorphous alloy with high toughness and plasticity and excellent magnetic performance through high-throughput monitoring, and the method comprises the following steps: high-throughput preparation, parallel high-throughput detection, performance association and component locking, and component data according to a target component area. According to the method, the research and development efficiency and the performance screening precision of the iron-based amorphous alloy are greatly improved, organic combination of high toughness and plasticity and excellent magnetic performance is successfully achieved through scientific component design and process control, and application and development of the iron-based amorphous alloy in the field of high-end soft magnetic materials are promoted. The method has wide popularization value and application prospect, and can provide powerful technical support and theoretical guidance for material innovation in related fields.

The utility model discloses a kind of frequency converter component and whole machine maintenance testing device, it is related to frequency converter maintenance testing technical field.The device includes multistage test unit, intelligent interface system and control and monitoring unit;The multistage test unit is connected with the measured frequency converter by intelligent interface system, and the control and monitoring unit is electrically connected with multistage test unit, intelligent interface system respectively.The utility model realizes full coverage test from component level to whole machine level by multistage test unit, and it is realized "single board-whole machine" seamless switching in combination with intelligent interface system, and high-precision online monitoring, intelligent fault tracing and self-adaptive energy management are realized using control and monitoring unit, the problems of inefficient separation type test, whole machine test blind area, poor compatibility and high energy consumption in traditional test are solved, test efficiency and accuracy are improved, and test energy consumption is reduced.

This application provides a task processing method, device, medium, and product based on an industrial large-scale model, relating to the field of industrial automation technology. The method includes: constructing a multi-source dataset based on an industrial scenario; training multiple adapters corresponding to the multi-source dataset using an adaptive low-rank adaptation algorithm; fusing the multiple adapters according to learnable weights to obtain a fine-tuned industrial large-scale model; inputting the operation and maintenance tasks of intelligent devices in the industrial scenario into the fine-tuned industrial large-scale model, outputting the operation and maintenance strategy of the intelligent devices, and controlling the intelligent devices in the industrial scenario to execute the operation and maintenance strategy. This method, by introducing an adaptive low-rank adaptation algorithm and a multi-task adapter fusion framework, achieves efficient fine-tuning and capability integration of the industrial large-scale model in multi-source heterogeneous data scenarios, solves the fusion conflict problem of multi-source heterogeneous data, realizes efficient inference for intelligent interaction throughout the entire process of an air compressor, and improves the stability and accuracy of the industrial large-scale model in complex industrial tasks.

This application discloses a high-temperature ceramsite aggregate mixing and calcining device, comprising a calcining box with an opening at the top for high-temperature ceramsite and phosphogypsum to enter, the opening having an opening and closing gate; an outlet at the bottom of the calcining box with an outlet opening and closing gate; a filter element located at the outlet and near the outlet opening and closing gate, allowing phosphogypsum to pass through; and a vibration device located on the side wall of the calcining box for vibrating the calcining box. By incorporating the vibration device and filter element, this application enables phosphogypsum to fully fill the gaps between the ceramsite and achieve efficient mixing and calcination, significantly improving heat utilization and calcination effect. Furthermore, the vibration device can effectively separate phosphogypsum and ceramsite.

The invention relates to the field of path planning, in particular to a dynamic path planning optimization method and system based on reinforcement learning, which remarkably improves the decision robustness in a complex traffic environment through deep coupling of a multi-dimensional reward mechanism and multi-cycle framework training and by adopting a closed-loop feedback parameter optimization system. Real-time road condition characteristics, historical traffic flow rules and weather influence factors are incorporated into a unified state dimension coding system, so that a strategy network can dynamically capture implicit association characteristics in a road network. A dynamic weight adjustment mechanism is introduced in the reward function design, the time efficiency and the safety redundancy can be adaptively balanced according to the scene emergency degree, and the path planning failure probability under the extreme scene is effectively reduced. The meta learning enables the system to quickly absorb new scene experience through a scene similarity weighted parameter updating strategy, avoids the problem of low efficiency of training from zero in a heterogeneous environment in traditional reinforcement learning, and realizes generalization ability improvement of'one-time learning and multi-scene multiplexing '.

The utility model belongs to gear drive and speed reducer technical field, specifically disclose a gear box torque test bench, including device frame, the outer surface of device frame is connected with support frame through fastening mechanism sliding, support frame is provided with a plurality of evenly distributed sleeve, the sleeve is movably inserted with drive shaft, the top fixed mounting of device frame has fixed cylinder, the bottom rotatable connection of fixed cylinder has internal thread, the outer surface fixed connection of internal thread has connecting plate. The gear box torque test bench, through double rotation coordination mechanism can make the friction head in the rotation simultaneously revolve, thereby let the friction head to all drive shafts contact friction, namely can carry out temperature rise test to multiple drive shafts simultaneously, has guaranteed to each drive shaft's friction condition is consistent, this kind of design avoided the test error of traditional test because of the friction condition is not uniform, improved the precision of temperature rise test.