123results about How to "Taking into account efficiency" patented technology

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 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 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 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.

The invention relates to the technical field of power distribution cabinet internal harmonic control, in particular to a power distribution cabinet harmonic suppression method based on multi-source data fusion. By extracting amplitude and phase information at each harmonic frequency point, branch equivalent admittance is calculated, and an admittance distribution state is formed; judging an abnormal branch with admittance deviation at each frequency point, and establishing a corresponding relation between the adjustable electrical parameters and the admittance deviation; in the operation process of the power distribution cabinet, the admittance distribution state and the abnormal branch set are periodically updated, the equivalent admittance of the target branch is dynamically adjusted according to the corresponding relation, and the distribution of the harmonic current among the branches is changed; through the method, the harmonic peak value and the multi-node superposition effect in the power distribution cabinet can be actively reduced, online operation under the condition of multi-frequency and multi-node load fluctuation is adapted, harmonic flow direction reconstruction is achieved on the premise that complex filtering or hardware devices are not added, and the electric energy quality and the system stability of the power distribution cabinet are improved.

This invention relates to the field of traceability auditing and privacy protection technology for medical insurance fund data, specifically to a blockchain-based AI-powered method and system for traceability and privacy auditing of medical insurance fund data. It achieves data encapsulation and self-auditing by defining Executable Audit Semantic Units (EASUs), constructs a two-layer blockchain architecture to handle transactions and solidify audit rules, and leverages federated learning, secure enclaves, and zero-knowledge proof technologies to complete triggered deep auditing while protecting data privacy. This method and system enable reliable traceability of audit data, dynamic rule evolution, and verifiable audit results, solving the problem of balancing privacy protection and audit effectiveness in medical insurance fund auditing, and improving audit accuracy and security.

The invention discloses a small-size high-efficiency large-current lithium battery active equalization circuit and a control method thereof, the small-size high-efficiency large-current lithium battery active equalization circuit comprises active equalization modules which are connected in parallel between two connected battery cells, and each active equalization module is composed of four switching tubes and a group of resonance branch circuit which is formed by connecting an inductor and a capacitor in series; n-1 active equalization modules are needed for a battery pack composed of N battery cells. The LC series branch serves as an energy temporary storage unit to replace a traditional inductance type single inductor or capacitance type multiple capacitors, the number of elements is reduced, meanwhile, low-loss energy transfer is achieved through resonance characteristics, and the equalization scheme has the advantages of being small in size, large in equalization current, small in equalization energy loss between battery cells, high in efficiency and the like.

This invention discloses an electric motor and a household appliance, belonging to the field of electric motor technology. The motor includes a stator and a rotor. The stator includes a stator core, which includes a yoke and multiple teeth. The teeth are arranged at intervals along the circumference of the stator core on the inner side of the yoke, defining a rotor hole. The rotor, located within the rotor hole, includes a rotor core and multiple magnets. The rotor core has multiple magnet slots, which are arranged at intervals along the circumference of the rotor core. Each magnet is installed in a corresponding magnet slot. The minimum inner diameter of the stator core is D1, the maximum radial dimension of the magnet along the rotor core is Lm, the maximum dimension along the magnetization direction is Hm, and the circumference is π, satisfying: 16 ≤ π*(D1-2*Lm) / Hm ≤ 19. The motor designed according to the above constraints has a high magnetic load. For the same volume, the motor of this invention effectively improves operating efficiency compared to existing motors.

The utility model relates to the technical field of building construction, in particular to a node coating structure of an inner wall and a steel column, which comprises the steel column and the inner wall, a positioning column is mounted on the surface of the steel column, at least one buffer piece is mounted on the surface of the inner wall, and the positioning column is matched with the buffer piece to connect the steel column with the inner wall. The surfaces of the steel columns and the inner wall are covered with mortar layers, the surfaces of the steel columns are provided with mortar leveling layers, the surfaces of the mortar leveling layers are covered with galvanized steel wire meshes, the surfaces of the galvanized steel wire meshes are covered with glass fiber gridding cloth, and the glass fiber gridding cloth extends towards the surface of the inner wall until the glass fiber gridding cloth completely covers the surfaces of the inner wall and the steel columns and is pressed by mortar; positioning columns are arranged on the surfaces of steel columns and matched with buffer pieces of an inner wall to form flexible connection, small displacement is allowed to absorb dynamic loads, mounting bases of the buffer pieces are modularly mounted through fixing grooves and corrugated stainless steel mesh belt mounting grooves, and corrugated stainless steel mesh belts elastically adapt to structural deformation by means of adjustable design of mounting blocks; and the cracking risk is further reduced.

This invention provides a data processing method and system based on an AI chip, relating to the field of electronic digital data processing technology. The method includes: acquiring the current data unit in a target data stream; calculating its data similarity C with previous data units; and calculating the entropy decay index D between adjacent computational layers in the layer-by-layer processing of a neural network. {N} The entropy decay index D {N} Used to quantify the degree of decrease in information uncertainty; the data similarity C and entropy decay index D {N} Perform a joint judgment; when C is higher than the similarity threshold and D... {N} When the data falls below the decay threshold, processing of subsequent computational layers is interrupted, and the feature data of the current layer is discarded as redundant data. This invention achieves dynamic pruning of the computational path by constructing a dual verification criterion of input similarity and entropy change in the model's internal processing. This reduces redundant computation and improves the processing efficiency and energy efficiency of AI chips without sacrificing risk identification accuracy.

The embodiment of the invention relates to the technical field of vehicles, and discloses a living object expelling method and device and a vehicle. The living object expelling method comprises the steps that whether a target living object exists in a vehicle blind area or not is determined based on detection data of the vehicle blind area; wherein the detection data of the vehicle blind area is used for reflecting the existence condition of living things in the vehicle blind area; the vehicle blind area refers to an area outside a driver view area and in a vehicle driving track, and the driver view area refers to a sight coverage area when a driver is in a driving position; under the condition that the target living object exists in the blind area of the vehicle, a target expelling strategy for the target living object is determined based on the living object type of the target living object and the area type of the area where the vehicle is located currently; and controlling the vehicle to execute the target expelling strategy. According to the technical scheme, the living body targets in the driving blind area can be repelled, and safety accidents are reduced.

This application discloses a method and system for planning the hoisting trajectory of a UAV based on industrial vision, relating to the field of UAV technology. The planning method includes the following steps: S1: Real-time acquisition of image data of the hoisting scene using industrial vision equipment; S2: Identification of obstacles, target placement area, and the position and shape information of the hoisted object from the preprocessed image; S3: Establishment of a dynamic model of the UAV-hoisted object system based on the information acquired by industrial vision; S4: Construction of a multi-constraint trajectory optimization objective function based on the dynamic model of the UAV-hoisted object system; S5: Generation of an initial hoisting trajectory; S6: Output of the final UAV hoisting trajectory. This method and system for planning the hoisting trajectory of a UAV based on industrial vision uses industrial vision equipment to acquire environmental information in real time, enabling timely perception of changes in the position of obstacles and targets in the dynamic environment, thus improving the adaptability of trajectory planning to the dynamic environment.

The application provides an energy-saving method and device, a terminal, network equipment, a chip and a storage medium, and relates to the field of communication. The method comprises the following steps: in response to the number of time units in which the terminal has not been continuously scheduled by a physical downlink shared channel (PDSCH) reaching a threshold, the terminal is controlled to operate in an energy-saving mode. Thus, the number of time units in which the terminal has not been continuously scheduled by a PDSCH is monitored, and when the number of time units reaches the threshold, the terminal is automatically triggered to operate in the energy-saving mode, thereby realizing an implicit energy-saving mechanism without the need for the network equipment to send explicit signaling. The additional control overhead and response delay caused by the transmission and analysis of the explicit signaling are effectively avoided, the energy-saving operation can be started immediately after the terminal actually enters an idle state, the invalid energy consumption caused by the terminal continuously monitoring a downlink control channel during the waiting period for the signaling is avoided, and the power consumption of the terminal is significantly reduced and the endurance time is prolonged.

The invention relates to the technical field of artificial intelligence image recognition and data mining, and discloses an image data mining processing system and method combining a visual large model and a visual small model. The method aims at solving the problems that in the prior art, the image recognition recall rate and accuracy are difficult to consider, the calculation cost and the processing speed are unbalanced, the data management efficiency is low, and the model generalization ability is insufficient. The system comprises a data input module, a frame extraction deduplication module, a picture library construction module, a visual large model judgment module, a visual small model judgment module, a label preprocessing module, a manual inspection module, a training data generation module, a model training module and a data security module. According to the method, the generalization ability is guaranteed through preliminary screening of an LPM (Deic) large model, missing detection is complemented through secondary verification in cooperation with a YOLO small model, false alarms are eliminated in combination with manual verification, meanwhile, double models are optimized through targeted sample training, the pain point of missing detection or misjudgment of a single model is effectively solved, and accurate and comprehensive consideration of target recognition is achieved.

This invention provides a method and application for the efficient determination of functional components in Acer truncatum leaves, relating to the field of plant functional component detection technology. The method includes the following steps: (1) two ultrasonic-assisted extractions using 70% methanol, followed by merging the extracts; (2) detection using high-performance liquid chromatography-tandem mass spectrometry. This invention achieves simultaneous, accurate, rapid, and stable detection of multifunctional components in Acer truncatum leaves.

The invention provides a data management method and system of a security element, the security element, electronic equipment and a computer program product, belongs to the technical field of intelligent cards, and aims to solve the problems of the existing security element in the aspects of data backup, recovery and the like. The method comprises the following steps: issuing an updating instruction of a current version application program to a security element through a trusted service management platform; in response to the update instruction, the secure execution environment randomly generates a temporary key, and obtains user specific configuration data of the application program of the current version from a secure storage area of the secure element; encrypting the user specific configuration data by using the temporary key to obtain encrypted data, and storing the encrypted data to the secure storage area; and obtaining the application program key from the secure storage area, encrypting the temporary key by using the application program key to obtain an encrypted key, and storing the encrypted key to the secure storage area.

The application discloses a kind of coated ternary positive electrode material and its preparation method, battery, which includes ternary positive electrode material core, gradient Al2O3 inner coating layer and LiAlO2 outer modification layer from inside to outside in sequence;Gradient Al2O3 inner coating layer includes inner layer Al2O3 and outer layer Al2O3, the thickness of inner layer Al2O3 is less than the thickness of outer layer Al2O3, and the density of inner layer Al2O3 is greater than the density of outer layer Al2O3.The application solves the problems of large interface impedance of traditional coating material, easy cracking and falling of coating layer in the cycle process, serious structure degradation under high voltage by gradient Al2O3 inner coating layer and outer layer high ionic conductance LiAlO2 outer modification layer, and prepares coated high-nickel ternary positive electrode material with strong interface stability, low impedance and excellent cycle life, effectively improves the electrochemical performance of battery under high-voltage working condition, and is suitable for high-energy-density power battery and energy storage battery field.

This application discloses a railcar driving control method, system, electronic device, and storage medium. The method includes: receiving the molten iron load of the railcar from an intelligent platform; determining the engine control parameters corresponding to the molten iron load; controlling the railcar to start and move using the start control parameters of the engine control parameters, and uploading the real-time position of the vehicle to the intelligent platform; and controlling the railcar to stop moving according to the brake control parameters of the engine control parameters when a brake signal is received from the intelligent platform. Since the engine control parameters are adapted to the molten iron load, the start control parameters can be used to automatically control the railcar to start and move smoothly, avoiding safety issues caused by spillage of the molten iron. Upon receiving the brake signal from the intelligent platform, the railcar is automatically controlled to stop moving according to the brake control parameters, thereby automating the entire molten iron transportation process and replacing manual operation.

The application discloses a vehicle and unmanned aerial vehicle authentication method based on three factors and PUF, and comprises the following steps: S1, system initialization is completed by an edge server and a consortium chain network; S2, the unmanned aerial vehicle and the vehicle are registered respectively, and initial trust binding between the vehicle, the unmanned aerial vehicle and the edge server is completed; S3, in an online stage, the vehicle sends an access request to the edge server, the edge server sends authentication information to the unmanned aerial vehicle after verification, the unmanned aerial vehicle generates a response after verification, and a shared session key SK is obtained by negotiation between the vehicle and the unmanned aerial vehicle; and S4, after successful completion of authentication, the edge server calls an intelligent contract interface, and metadata of an authentication event is written into a consortium block chain. The application can realize two-way identity authentication and session key negotiation between the vehicle, the edge server and the unmanned aerial vehicle in a single-domain scenario of a low-altitude logistics park, and can guarantee multiple security attributes while controlling online authentication calculation overhead at a low level.

The application discloses a numerical simulation method for spray combustion of an aero-engine combustion chamber, and belongs to the technical field of simulation of spray combustion of an aero-engine combustion chamber. The numerical simulation method is based on an adaptive matching iterative solution control mechanism of liquid droplet and flow field motion scale to perform outer circulation; starting from mixed fraction definition and component transport, a coupling relationship between fuel evaporation and combustion is established by deducing mixed fraction source terms and component transport equation source terms under different definitions, so that the numerical simulation method has high-fidelity coupling simulation capability of flow-spray-combustion; the RCCE method is introduced to establish a flame surface database, a large number of components in a chemical reaction mechanism are mapped to a limited number of constraint variables for dimension reduction solution, and a constraint equilibrium state is obtained according to the maximum entropy principle, and finally, the concentration of each component is reconstructed by using a constraint potential energy; while ensuring the accuracy of key chemical thermodynamic coupling, the generation efficiency of a complex fuel chemical reaction database is improved.

The utility model relates to an adhesive film transportation tool with a jointing function, which comprises power components arranged on a frame and a workbench arranged on the frame, and the power components are uniformly distributed on two sides of the workbench; the tool further comprises a hot pressing assembly, a cutting assembly and a fixing block connected to the frame. The hot pressing assembly and the cutting assembly are both arranged on the fixing block and act on the workbench. A sensing plate is arranged on the surface of the workbench. The tool further comprises a controller. Through interlocking control of the integrated induction plate and the controller and linkage operation of the power assembly, the hot pressing assembly and the cutting assembly, the manual intervention link is eliminated, the production takt is completely matched with a continuous production line, and the productivity is improved.

The utility model belongs to the technical field of anti-dazzle lenses, and discloses a deep cover anti-dazzle lens which comprises a deep cover body, an installation base is installed at the top end of the deep cover body and used for being fixedly connected with an external bearing structure, and a lamp body is installed at the bottom end of the installation base and used for being fixedly connected with the deep cover body. A mounting groove matched with a lamp body for use is formed in the top end of the deep cover body, the deep cover body is of a cup-shaped structure, a light reflecting face is arranged on the inner side wall of the deep cover body, textures which are regularly distributed are arranged on the inner surface of the light reflecting face, and the outer surface of the deep cover body is connected with a lens mounting frame in a sleeved mode. The reflecting surface of the deep cover body is designed to be deepened and matched with the textures regularly distributed on the inner surface, under the synergistic effect of the reflecting surface and the textures, the included angle between the light emitting angle of the lens and the visual angle can be effectively increased, the anti-dazzle effect is remarkably optimized, meanwhile, the lens body made of the PMMA material is matched with the deep cover body made of the aluminum alloy material, and the anti-dazzle effect is improved. The optical transmission efficiency and the structural stability are both considered.

The application belongs to the technical field of software and provides a soft reset retry method applied to an electronic device containing firmware, a host controller and an embedded storage device; when the firmware initializes the storage device, the host controller is initialized and configured as an initial state of a device identification stage, an idle state command is sent to make the storage device enter an idle state; an operation condition command is sent according to a preset polling rule, and whether internal initialization is completed is judged according to a busy state indication in returned information; if the initialization is completed, the device identification stage is entered; if the initialization is not completed continuously within a preset timeout window, it is determined that polling is timed out and the number of retries is judged; when the number of retries does not reach a maximum number, the host controller is soft reset and reconfigured, the idle state command is sent again, and polling is re-performed after waiting; when the number of retries reaches the maximum number, a device error state is returned and the initialization is ended. The application can solve the problem that the embedded storage device is directly determined to fail by the firmware due to polling timeout of the operation condition command in the initialization process.

The utility model discloses a diversion anti-backflow ship drainage structure, and relates to the technical field of ship drainage, the diversion anti-backflow ship drainage structure comprises a deck, one side of the deck is provided with a barrier plate, the lower part of the barrier plate is provided with a connecting pipe, the lower part of the connecting pipe is connected with a communicating pipe, and the communicating pipe is connected with a water inlet pipe. The device comprises a communicating pipe, one end of the communicating pipe is connected with a gathering pipe, the lower portion of the gathering pipe is provided with a backflow prevention assembly, the backflow prevention assembly comprises a cleaning bin and a turbofan, the cleaning bin is installed at the bottom end of the gathering pipe, and the inner wall of the cleaning bin is slidably connected with a filter plate. Impurities are intercepted in a layered mode through the screen and the filter plate, the pipeline blocking risk is reduced, and normal backflow prevention work is guaranteed. The turbofan drives the brush to automatically clean the filter plate, so that the manual maintenance frequency is reduced. Drainage depends on gravity in daily life, a pump is started to accelerate drainage under extreme working conditions, and energy consumption and efficiency are both considered.

This invention relates to a method and apparatus for tuning control parameters of magnetic levitation bearings, a storage medium, and an electronic device, belonging to the technical field of magnetic levitation control parameters. The tuning method includes: S1, constructing a mathematical model of a PID parameter optimization problem; S2, generating a Bayesian optimization sample set, fitting a Gaussian process surrogate model, and globally exploring to generate a PID parameter subspace; S3, executing a dung beetle optimization algorithm within the subspace to obtain the optimal point (x) within the subspace. db y db S4, add the optimal point to the Bayesian optimization sample set and update the Gaussian process model; S5, repeat steps S2 to S4 until the condition is met, and output the optimal PID parameter x. db * By combining the global exploration capability of Bayesian algorithms with the local development capability of the dung beetle algorithm, the Bayesian optimization reduces the dependence on the initial sample size, while the dung beetle algorithm accelerates convergence within the subspace, thus balancing efficiency and accuracy.