237results about How to "Taking into account efficiency" patented technology

The invention provides an intelligent networked automobile dynamics simulation method and system based on a physical engine, and relates to the technical field of intelligent networked automobiles, and the method comprises the steps: obtaining vehicle parameters and road condition information of an intelligent networked automobile, optimizing a multi-agent cooperative control model through a self-adaptive optimization algorithm based on the vehicle parameters and the road condition information, and carrying out the optimization of the multi-agent cooperative control model. Constructing a digital twinborn model, and mapping the optimized multi-agent cooperative control model to an actual intelligent networked automobile control system; the method comprises the following steps: establishing a distributed edge computing network of an intelligent networked automobile group, constructing a decentralized knowledge base by utilizing a block chain technology, forming a decision-making experience data set, designing a multi-level attention mechanism to extract target information based on the decision-making experience data set and multi-modal data of a current traffic scene, and generating a final vehicle control instruction. And transmitting the final vehicle control instruction to a vehicle execution system to realize dynamic adaptive group cooperative control of the intelligent networked vehicle.

The invention discloses a GIS field-electricity fusion real-time state sensing and early warning system and method. The system comprises a signal synchronous acquisition and measurement embedded device and an industrial personal computer, and a simulator, a position searcher and an early warning device are deployed in the industrial personal computer; when the embedded device monitors that the electromagnetic field signal in the GIS contains the partial discharge signal according to the strong correlation characteristics, obtaining a full time domain oscillogram containing a time domain oscillogram and a frequency domain oscillogram of the partial discharge signal; the simulator performs coarse positioning on the partial discharge source based on the full time domain oscillogram of GIS partial discharge, and performs simulation enhancement calculation by taking a coarse positioning result as an initial injection point to obtain simulation enhancement data of the partial discharge source; the position searcher carries out iterative search on the actually measured discharge intensity obtained through calculation according to the full-time-domain oscillogram and the simulation enhancement result, and the actual discharge position of the partial discharge source is obtained; the early warning device carries out early warning based on the time domain full waveform and early warning information including the actual discharge position of the partial discharge source.

The invention discloses a three-dimensional finite element simulation method for a complex slope excavation unloading process, which comprises the following steps of: 1) constructing a three-dimensional model of a complex slope, and establishing a finite element grid; 2) inputting boundary conditions of the model and material parameter information of each stratum; 3) calculating and simulating an initial stress field of the slope before excavation; (4) according to the initial stress field, the unloading load of the slope excavation part is calculated; (5) finite element calculation is conducted on stress deformation of the excavated slope; according to the method, the high-precision three-dimensional finite element model is established, various material parameters and actual boundary conditions are combined, the stress change and the unloading effect of the slope in the excavation process are simulated, the stress redistribution in the unloading process is accurately reproduced, the prediction precision of local instability and stress concentration areas is improved, and the prediction accuracy of the slope is improved. Therefore, a scientific basis is provided for safety assessment of slope excavation.

The invention discloses a practical Byzantine fault-tolerant consensus method, device and equipment for commodity transaction in a block chain, a medium and a product, and relates to the field of block chains. The method comprises the following steps: initializing alliance chain network nodes, and dividing the alliance chain network nodes into a double-layer network structure comprising a main network layer and a secondary network layer; grouping in a secondary network layer according to the nearest neighbor communication time delay of the nodes; after each round of consensus is finished, reputation score calculation is carried out on the nodes based on attribute scores of mechanisms to which the nodes belong and dynamic behaviors of the nodes in the commodity transaction process, the node with the highest reputation score is periodically selected from each group to serve as a main node in the group, and other nodes in the group serve as common nodes; local consensus is carried out on the main node and the common node in each group in the respective group; and adding the main nodes in each group to a main network layer to participate in global consensus. According to the invention, the overall consensus efficiency and stability of the network can be improved, and stable and efficient transaction of commodities on the block chain is ensured.

The invention provides a task scheduling method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of computers. The method comprises the following steps: adjusting the current priority of each task to be scheduled in a main queue according to the current resource load; under the condition that the priority adjustment frequency corresponding to the to-be-scheduled task reaches a preset frequency and the duration of the to-be-scheduled task entering the main queue exceeds a first preset duration, the to-be-scheduled task is stored in a retention queue as a retention task; for the detention tasks with overlong waiting time in the detention queue, the detention tasks are added into the main queue again after the priorities are adjusted, so that the tasks are scheduled to be dequeued and executed according to the dynamically adjusted priority sequence, the tasks with high priorities can be executed as soon as possible, and the situation that the tasks with low priorities cannot be processed for a long time can be avoided; the efficiency and the fairness of task processing are considered under the condition of high concurrency.

The invention discloses an overlapping response separation and peak positioning method for thickness measurement of an ultrathin multilayer transparent material in spectral confocal. The method comprises the following steps: 1, acquiring a spectral confocal calibration spectrum and a transparent material overlapping response spectrum; 2, evaluating random noise distribution, and obtaining an intensity detection threshold value and a shape coefficient; 3, obtaining an overlapping response initial peak value position by using the second derivative of the overlapping response spectrum; 4, calculating a generalized Gaussian function fitting initial parameter of overlapping response; 5, iterating the overlapping response parameters until the fitting residual change before and after iteration meets the precision requirement; 6, discarding overlapping responses which do not meet the measurement constraint; 7, the step 5 and the step 6 are executed again until all the overlapping responses meet the measurement constraint, and the peak value position of each overlapping response is obtained. According to the invention, the separation of spectrum confocal overlapping response is realized, the peak value positioning precision is improved, and the thickness of the ultrathin multilayer transparent material can be measured.

The invention belongs to the technical field of knowledge graph construction, and particularly relates to a multi-source heterogeneous data fusion and knowledge graph automatic construction system, which comprises a semantic extraction module for extracting minimum semantic fragments from multi-source data and performing cross-source alignment to generate a symbolized semantic framework; the data purification module converts multi-source data into symbolic predicates according to the framework, filters low-evidence data and outputs a purification set; the ternary generation module inputs the initial triad candidate set into a minimum rule grammar, and extracts entities, relationships and attributes to generate an initial triad candidate set; the disambiguation calibration module generates entity two-hop topological fingerprints based on the candidate set, completes disambiguation alignment and corrects conflicts, and outputs unambiguous structured knowledge; the mapping fusion module fuses the mapping information with the minimum connected ontology, and constructs and verifies an initial mapping knowledge domain; and the incremental updating module processes newly added data, performs incremental merging and maintains consistency, and forms a complete knowledge graph. According to the method, through full-link automatic construction, efficient fusion and high-quality atlas are realized.

The invention discloses a three-dimensional model package arranging method, device and equipment, a medium and a product, and relates to the technical field of three-dimensional (3D) printing.The method comprises the steps that space parameters of a to-be-printed model and a printing area are determined, the to-be-printed model comprises i three-dimensional models, and i is a positive integer larger than 1; based on the model parameters of the i three-dimensional models, the arrangement sequence of the i three-dimensional models is determined, and the model parameters are the contour parameters of the minimum enclosing rectangles of the three-dimensional models; and the i three-dimensional models are placed in the printing area based on the space parameters of the printing area and the placing sequence of the i three-dimensional models by utilizing a preset model printing rule. According to the method, the arrangement uniformity of the printing models can be improved while the package arrangement speed is ensured, the to-be-printed models are arranged in the printing area as many as possible, excessive analysis on the to-be-printed models is avoided, the calculation amount of a processor is saved, package arrangement efficiency and package arrangement quality are both considered, and the package arrangement experience of a user is improved.

The invention discloses a layout device and method for a semiconductor secondary piping installation project, and the device comprises a file uploading module which receives a layout file of a semiconductor production line; the data analysis module is used for analyzing the layout file, acquiring attribute information and position information of the equipment and transmitting the attribute information and the position information to a secondary piping database; the data analysis layout module is used for giving a secondary piping installation pipeline diagram, and obtaining a corresponding pipeline instrument assembly in a secondary piping database by combining an assembly matching algorithm to form a pipeline instrument flow chart; and the three-dimensional space management module is combined with a three-dimensional model generation algorithm to generate a layout model of the semiconductor secondary piping installation project. Through linkage of semiconductor layout information and a secondary piping database, in combination with a component matching algorithm, information of a secondary piping component is obtained, and according to a three-dimensional model generation algorithm, automatic output of semiconductor secondary piping layout is realized and visual display is performed in a three-dimensional scene.

The invention provides a trusted data exchange and shared space management system supporting multi-party cooperation. The trusted data exchange and shared space management system supporting multi-party cooperation comprises a data exchange and sharing module used for uploading, exchanging and sharing data by a plurality of users in real time and ensuring data consistency, the data exchange and sharing module realizes data consistency through a conflict detection and solution mechanism under the condition of data conflict, and the data exchange and sharing module is used for realizing data exchange and sharing; and intelligently sorting the updated contents through a priority algorithm. According to the trusted data exchange and sharing space management system supporting multi-party collaboration, through modular design, the efficiency, safety and transparency of multi-party collaboration data exchange and sharing are remarkably improved. The data exchange and sharing module solves the data conflict problem when a plurality of users operate data at the same time through a timestamp mechanism, a priority ranking mechanism and a rollback mechanism, and data consistency and accuracy are effectively guaranteed.

The invention relates to an image-text matching analysis method, system and device based on a large model and multiple modes. The method comprises the following steps: 1) image-text analysis: analyzing an image into an image and a text; 2) carrying out fine-tuning multi-mode large model processing on the image, and carrying out word segmentation processing on the characters; 3) constructing a bisection weight; 4) performing Few-shot cue word construction on the processed characters and the constructed equally-divided weight; 5) performing training / fine tuning on the characters and the pictures in the step 4 and the step 2 to serve as a large oracle model; according to the multi-mode image-text matching method, cooperative work of the multi-mode large model and the large language model is introduced, the advantages of the multi-mode large model and the large language model in semantic comprehension, context analysis and dynamic adjustment capacity are comprehensively utilized, a comprehensive image-text matching framework is established, and the accuracy, flexibility and interpretability of matching can be improved.

The invention discloses a fabricated building safety and health detection method and system. The method comprises the following steps: constructing a geometric model of the fabricated building, and carrying out first grid division on the geometric model of the fabricated building by using ANSYSMeshing; importing a geometric model and a grid; configuring a first boundary condition and a first initial condition in the k-epsilon model; running the k-epsilon model for simulation; determining a key area in the fabricated building; carrying out second grid division on the key area; an automatic importing script is used for importing a local grid obtained after the second-time grid division into the ANSYFluent again; configuring a second boundary condition and an initial condition in the LES turbulence model; running the LES turbulence model based on a second boundary condition and a second initial condition until a preset simulation duration is reached; and extracting wind pressure distribution data of the fabricated building according to a simulation result, and importing the wind pressure distribution data into ABAQUS to carry out stress and strain analysis on the fabricated building.

The invention relates to a category label determination method and device, computer equipment, a storage medium and a computer program product, and a labeling model training method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: determining a text data set; predicting a first probability value corresponding to the first text according to the first text; according to a difference value between the first probability values and a difference value between the first probability values and a first reference probability value, first classification evaluation index data of the first text is obtained through calculation; screening out a first text of which the first classification evaluation index data is smaller than a preset threshold value, and updating a labeled category label of the first text; and if the first text with the labeled category label inconsistent with the updated category label exists in the text data set, replacing the labeled category label of the first text with the updated category label. By adopting the method, the efficiency and accuracy of determining the category labels can be improved.

The invention discloses a GIS electromagnetic field coarse simulation data enhancement method and system based on a differential fusion neural network, and a storage medium. The method comprises the steps of obtaining a GIS electromagnetic field coarse grid simulation data set; the GIS electromagnetic field coarse grid simulation data set is input into a difference deep learning network model, the difference deep learning network model comprises an enhancement network and a structural similarity network which are connected in sequence, and the enhancement network comprises a self-adjusting module and a difference convolution module; respectively calculating the coarse grid structure data and the coarse grid field intensity data by using a self-adjusting module and the differential convolution module to obtain fine grid enhanced grid structure features and fine grid enhanced field intensity features; matching the fine grid enhanced grid structure features and the fine grid enhanced field intensity features by using a structure similarity network, and calculating similarity features; calculating GIS fine grid enhanced data based on the similarity features; by adopting the method, the precision and the efficiency of GIS electromagnetic simulation can be considered at the same time.

The invention discloses an ultrasonic guided wave detection method and system for steel-concrete joint surface defects. The method comprises the following steps: S1, selecting an ultrasonic guided wave mode for detection; s2, calibrating an ultrasonic guided wave propagation speed; s3, adopting a twin-crystal probe as an air coupling probe, and rapidly screening defects in a large area by using the twin-crystal probe in a self-transmitting and self-receiving manner; and S4, carrying out quantitative detection on the defects by adopting two air coupling probes in a one-transmitting and one-receiving manner. A cyclic matrix algorithm and a spring model are adopted to calculate ultrasonic guided wave propagation characteristics in a steel-concrete multi-layer plate-shaped structure, an ultrasonic guided wave mode with high steel-concrete joint surface defect recognition sensitivity is selected for detection, and a non-contact air coupling probe is used for scanning imaging. Large-area rapid scanning and local quantitative detection are carried out step by step, efficiency and precision can be taken into account, and efficient and accurate detection of the steel-concrete joint surface defects on the engineering site is achieved.

The invention relates to the technical field of image processing, and discloses an image rain removal method and device, equipment and a storage medium, which are used for improving the image rain removal precision and efficiency. The image rain removal method comprises the following steps: inputting an original rain image into a data preprocessor of a pre-trained target image rain removal model for preprocessing to obtain a candidate rain image; inputting the candidate rain map into a feature extractor, and performing feature extraction through feature extraction layers of a plurality of stages which are connected in sequence to obtain a multi-scale feature map; inputting the multi-scale feature map into a decoder, segmenting the multi-scale feature map through a first feature pyramid network propagating from bottom to top in a cascade feature pyramid fusion module, and processing the initial segmented feature map of each layer through a pyramid pooling module and a multi-scale large-selection kernel attention module; performing segmentation through a second feature pyramid network propagating downwards from the top layer to obtain a target segmentation feature map of each layer; and performing prediction based on the target fusion feature map to obtain a target rain-free map.

The invention discloses a method for measuring the rigidity of paired main bearings of an RV speed reducer. The method comprises the following steps of 1, customizing a bearing mounting tool according to the size of a bearing to be measured; step 2, inputting a test load spectrum and an axial measurement load on the measurement controller; 3, completing the assembly of the bearing installation tool and the two to-be-tested bearings, and connecting a tool upper cover with the top platform; 4, rotating the tool spacer ring and driving the outer rings of the two to-be-tested bearings to rotate, and eliminating gaps between the ferrules of the two to-be-tested bearings and the rolling balls; step 5, applying an axial load to the two to-be-measured bearings until the axial load is consistent with the axial measurement load set on the measurement controller, thereby completing the preloading of the two to-be-measured bearings; step 6, calculating the assembly height of the paired bearings; and step 7, taking the numerical value of the assembly height of the paired bearings as an original point, continuously applying an axial load to the two to-be-tested bearings, and finally drawing a stress-displacement curve by using test data. The method is high in measurement efficiency.

The invention relates to a grid denoising method and device, a three-dimensional scanning system and a storage medium, and the method comprises the steps: obtaining all grid patches in a preset neighborhood of a current grid patch in to-be-processed grid data, and obtaining a patch set; performing curved surface fitting based on the patch set to obtain a target curved surface; determining a denoising normal vector of the current grid patch according to the target curved surface, and updating the vertex position of the current grid patch according to the denoising normal vector; and for each grid patch in the to-be-processed grid data, executing the above steps in sequence. According to the method, the curved surface fitting is carried out based on the collected surface patch set, and a more accurate normal vector can be obtained, so that the accurate correction of the vertex of the current grid surface patch is realized at a relatively high speed, and the denoising efficiency and the denoising scale in the grid denoising process are considered.

The invention provides water pipe rust removal equipment for a water conservancy project, and belongs to the technical field of water pipe rust removal equipment. Comprising a fixed frame, a multi-stage telescopic rod is fixedly connected to the fixed frame, a mounting seat is assembled at the tail end of the telescopic rod of the multi-stage telescopic rod, fixed seats are symmetrically mounted on the two sides of the mounting seat, a supporting frame and a connecting seat are symmetrically connected to the top and the bottom of the mounting seat, and movable seats are arranged in the fixed seats in a sleeved mode; the tail end of the movable seat extends to the outer portion of the fixed seat and is provided with a grinding tool base, and a grinding head is arranged in the grinding tool base in a sleeved mode. According to the water pipe rust removal equipment for the water conservancy project, by arranging the sand blasting assembly, the grinding tool base and the grinding head, sand blasting rust removal and grinding rust removal are combined through the water pipe rust removal equipment for the water conservancy project, primary rust removal is conducted on the inner wall of a pipeline through grinding of the grinding head, and secondary rust removal is conducted through the sand blasting assembly; therefore, the quality and the efficiency of the equipment during pipeline inner wall rust removal operation are both considered.

The embodiment of the invention provides a boost power supply device, a power amplification device, a signal processing system, a power supply control method and electronic equipment. The boost power supply device comprises: a boost power supply unit for supplying power to a power amplifier according to boost power supply parameters, the boost power supply parameters at least comprising a power supply output voltage and a switching clock frequency; and the monitoring unit is electrically connected with the boosting power supply unit, detects the current amplitude of an input signal of the power amplifier, and dynamically adjusts a boosting power supply parameter corresponding to the current amplitude according to the power supply output voltage and the positive correlation between the switching clock frequency and the current amplitude. And the adjusted boost power supply parameters are provided for the boost power supply unit.

The invention discloses a blade aerodynamic robustness evaluation method based on a dual-fidelity collaborative neural network, and relates to the technical field of turbomachinery blade aerodynamic analysis. Acquiring a plurality of groups of uncertainty parameters influencing the aerodynamic characteristics of the blade; inputting the uncertainty parameters into the dual-fidelity collaborative neural network model, extracting feature vectors of the uncertainty parameters through a basic trend prediction module, and predicting low-fidelity aerodynamic performance; weighting the feature vector through a cross-fidelity attention fusion module, fusing the uncertainty parameter and the weighted feature vector, and inputting the fused vector into a residual error correction module to obtain a residual error prediction value; adding the residual prediction value and the prediction value of the low-fidelity aerodynamic performance to obtain a prediction value of the high-fidelity aerodynamic performance; and determining the robustness index of the blade according to the high-fidelity aerodynamic performance predicted values corresponding to the multiple groups of uncertainty parameters. According to the method, the calculation efficiency is ensured while the aerodynamic performance precision of the blade is improved.

The invention belongs to the technical field of path planning and robot motion planning, and particularly relates to a multi-strategy fusion improved RRT * sampling planning method and device and a storage medium, and the method comprises the steps: constructing a dual-search tree through a starting point and a target point in a three-dimensional working space, and selecting a to-be-expanded search tree through a random mode; halton-Bridge mixed sampling is adopted to generate sampling points, so that the global coverage uniformity is improved, and the narrow channel sampling capability is enhanced; calculating the dynamic step length of the exponential decay based on the local obstacle proportion; adopting a hierarchical guidance expansion strategy, preferentially expanding towards a target, introducing an improved artificial potential field to guide expansion when the expansion fails, and taking the bottom with random expansion; performing RRT * neighborhood father node reselection and reconnection optimization on the new node; greedy pruning, self-adaptive interpolation and cubic B-spline smoothing are carried out on a path after the double trees are connected, and an executable smoothing track is output; according to the scheme, planning efficiency, success rate and path quality are improved.

The invention discloses a GIS electromagnetic field distribution rapid high-precision simulation method, simulator, storage medium and system, and the method comprises the steps: carrying out the numerical solution of a three-dimensional simulation model of GIS equipment through a time domain finite difference algorithm or a finite element algorithm, and obtaining a GIS full-wave electromagnetic coarse mesh simulation result; the coarse grid simulation result comprises coarse grid structure data and coarse grid field intensity data; performing enhancement processing on the coarse grid simulation result by adopting an enhancement model to obtain enhanced fine grid data; according to the invention, rapid and high-precision GIS electromagnetic field distribution simulation can be realized.

The application discloses a laser engraving processing device and method based on a five-axis engraving machine, relates to the field of laser engraving equipment control, and loads a three-dimensional CAD model and a process task of a workpiece to be processed, distributes the process task to machining paths of each laser processing assembly, respectively predicts time-space collision of paths of five laser processing assemblies, adjusts speed or paths of low-priority laser processing assemblies through a priority avoidance algorithm when collision risk is predicted, and generates a collision-free pre-planned path. Through reasonable path planning and a collision avoidance mechanism, the application effectively avoids collision risk between multiple laser processing assemblies and guarantees stability of a machining process. Through establishment of a thermal influence monitoring grid and a thermal dose accumulation model, laser machining parameters are adjusted in real time, workpiece deformation caused by thermal dose superposition is avoided, and machining quality is improved. A focal point dynamic following mechanism ensures that the focal point is always in an optimal machining position, and further improves engraving precision.

The invention discloses an arch breaking scraper and a scraper conveyor, and belongs to the technical field of belt conveyor cleaning equipment. The arch breaking plate comprises an arch breaking plate body, a plurality of arch breaking teeth which are continuously distributed are formed at the bottom of the arch breaking plate body, the arch breaking teeth are used for conducting arch breaking treatment on hardened materials, and the materials after arch breaking can freely pass through gaps between the adjacent arch breaking teeth; wherein the ratio of the tooth root width H to the tooth height h of the arch breaking tooth is controlled to be 1-3 times. According to the arch-breaking scraper blade, the tooth height and the tooth root width of the arch-breaking teeth are optimally designed, so that the situation that the service life of the arch-breaking teeth is affected due to the fact that the strength of the arch-breaking teeth is reduced due to the fact that the arch-breaking teeth are too sharp can be effectively prevented; the situation that the space between every two adjacent arch breaking teeth is too large, the arch breaking operation on hardened materials with small hardened areas is missed, and then the arch breaking efficiency is affected can be prevented; therefore, the arch breaking efficiency and the service life can be well considered.

The application provides an engine active clearance design method, and belongs to the technical field of aero-engines. The method comprises the following steps: constructing a rigid-flexible coupling finite element model coupled with multi-body dynamics and finite elements; solving deformation under gyroscopic effect and inertial load and deformation under thermal coupling effect when the engine is in use; extracting clearance deformation between a rotating rotor and a rotating stator and clearance deformation between a rotating rotor and a stationary stator based on the solving of the deformation; identifying a deformation sensitive area; performing multi-objective optimization on the structure of the deformation sensitive area; based on the optimized result, and considering other factors that have an influence on the clearance between the rotor and the stator, designing an initial installation clearance value that takes into account safety and efficiency, wherein the other factors include radial movement of bearing and fulcrum elastic elements, rotor and stator runout, and relative axial position change of the rotor and the stator. Through the processing scheme, the accuracy of the active clearance design is improved, the safety and efficiency of the engine are taken into account, and the risk of engine collision and abrasion is reduced.

This invention relates to the field of automated warehousing technology and discloses an automated storage and retrieval system (AS / RS) based on a heavy-duty stacking robot. A material storage area is located on one side of the material entry / exit area, and a preparation and charging area is located on the other side. An import / export docking area is located inside the material entry / exit area, and a lifting and transferring machine is also included within the import / export docking area. An automated storage and retrieval system with a three-dimensional racking mechanism is located inside the material storage area. This AS / RS based on a heavy-duty stacking robot, through its modular architecture and intelligent collaborative design, effectively solves the problems of low space utilization, high cost, and poor flexibility in traditional AS / RS. It achieves precise and efficient handling of heavy-duty goods, eliminates the need for dedicated tracks, reduces modification costs, and significantly improves the overall automation level, space utilization, and operational stability of warehousing operations. It caters to both new construction and renovation needs, providing enterprises with a low-cost, highly adaptable heavy-duty warehousing solution.

The application discloses a kind of based on flow pattern recognition's deep sea mining multiphase flow particle delivery prediction and regulation method, the method includes: by acquisition equipment periodic acquisition pressure in pipeline, flow, bubble or droplet volume fraction, solid particle volume fraction in different positions;According to pipe diameter and the gas-liquid ratio obtained by calculation, mixed flow velocity, call pre-built flow pattern division algorithm, distinguish bubble flow, slug flow, vortex, annular flow;Solve the gas-liquid discrete unit volume fraction of any diameter in different flow patterns;According to the gas-liquid discrete phase volume fraction, obtain the delivery speed of solid particles in multiphase flow;Whether the solid particle delivery speed obtained is judged to reach the best interval, according to the result control multiphase flow in pipeline flow pattern or gas-liquid ratio, to adjust the delivery speed of solid particles.The present application can improve the efficiency of seabed mineral exploitation, and avoid the dangerous flow pattern formed by unreasonable gas-liquid distribution ratio, efficiency and safety are taken into account.

The application relates to the technical field of battery rubberizing, and discloses a lithium battery pole piece rubberizing device which comprises a battery pole piece conveying assembly, a buffer assembly, a power assembly, an adjusting assembly and a burr cutting assembly. The battery pole piece conveying assembly conveys the battery pole piece. The buffer assembly and the power assembly are coordinated to realize seamless adaptation of continuous conveying and intermittent rubberizing, greatly improve production efficiency, the burr cutting assembly is integrated in a pre-rubberizing process, burrs on the pole piece are accurately removed, the risk of film breakage and battery short circuit is avoided, product quality is guaranteed, the adjusting assembly can flexibly adjust the cutting width, the pole piece is prevented from deviating, different specifications of pole pieces are adapted for processing, a waste material collecting structure realizes closed-loop recovery of burrs, and the working environment is kept clean. The overall device has high integration, is convenient to operate, considers precision and efficiency, significantly reduces production cost, and adapts to the automatic production demand of lithium batteries.

The application discloses a kind of inventory optimization methods of charging facility spare parts replacement cycle and failure rate analysis, and the core process of this method includes building data layer, multidimensional data is cleaned and optimized, to realize standardized storage;Based on the LSTM algorithm, a multidimensional linkage prediction model is built, the loss effect of design defects and environmental factors is quantified to optimize the model, and the accurate spare parts replacement cycle threshold and equipment failure rate are output;According to the flow properties of spare parts, a differentiated inventory management mode is designed, and the optimal management mode of slow-moving parts is selected;A full-cost quantification model is built to calculate the total cost and service level under each mode;Finally, with the goal of minimizing cost, an intelligent inventory control model is built, which dynamically outputs inventory warning thresholds, replenishment quantities and times;Through the algorithmization and parameter quantification of the whole process, the application realizes fine and intelligent management of inventory, significantly reduces operating costs and stockout risk, and improves the stability of charging facilities.