440results about How to "Increase coverage" patented technology

The invention discloses an agent task scheduling planning method, and relates to the technical field of agent scheduling. The method comprises the steps of analyzing a task instruction to generate atomic tasks capable of being independently executed, constructing a subtask dependency graph, and defining association constraints between the tasks; determining the real-time resource occupancy state of the intelligent agent to obtain a resource state tensor, completing resource-task association anchoring and dependency priority ranking in combination with the sub-task dependency graph, and generating a task priority sequence with resource constraint; performing dynamic capability matching and predictive load balancing calculation on the sequence through a task-agent adaptation model, and determining a target execution agent of each atomic task; and based on the target execution agent and the subtask dependency graph, performing time sequence scheduling arrangement and conflict resolution, and generating a collaborative execution scheme. The method improves the reasonability and efficiency of agent task scheduling, reduces resource conflicts and execution timeout risks, and is suitable for agent cluster collaborative scheduling in a complex scene.

The invention belongs to the field of thin films, and particularly discloses an atomic layer deposition method and a thin film prepared through the atomic layer deposition method. According to the deposition method, the reaction cavity, the two input pipeline systems, the outlet valve and the vacuum pump in the atomic layer deposition system are used for controlling precursor pulse deposition and inert gas purging conditions in the atomic deposition process, and the film deposition state is improved; the efficiency of purging and removing substances and impurity residues such as a precursor and a reaction product thereof is improved, the problem that the quality of a deposited film is affected by the impurity residues in a reaction system or on the surface of a sample in the film deposition process is avoided, the uniformity and compactness of film deposition and the coverage rate and conformal rate of a film on the surface of a base material hole are improved, the defects of the film are reduced, and the yield is improved. And the method can be applied to a substrate with a high aspect ratio structure to deposit the film, so that the purpose of manufacturing a large-size complicated special-shaped structure device is achieved.

The invention provides a multi-path information retrieval method and system based on a language model and uncertainty evaluation. The multi-path information retrieval method comprises the following steps: receiving a user query; performing semantic analysis on user query by using a pre-trained language model so as to output a quantitative uncertainty index in an unsupervised manner; dynamically determining a quantity ratio for controlling query generation and a balance parameter for controlling result sorting based on the index; based on the user query and the strategy parameters, generating and executing two groups of differential queries at least comprising exploratory queries and utilizable queries to obtain multiple paths of retrieval results; and combining multiple paths of results, and carrying out dynamic balance reordering between the correlation and diversity of the results according to balance parameters by adopting an ordering mechanism. According to the method, the retrieval strategy can be adaptively adjusted according to the uncertainty of query, and the coverage degree and diversity of results are remarkably improved.

The invention discloses a two-stage space-time diagram network and multi-source information fusion time sequence probability prediction method and device, and relates to the technical field of artificial intelligence and big data analysis. The method comprises the following steps: acquiring historical wind speed sequence data and corresponding target variable sequence data; preprocessing the data, and constructing a training sample according to a preset time sliding window; constructing a time sequence probability prediction framework of the two-stage space-time diagram network and multi-source information fusion; based on the fluctuation correlation of the historical sequence data, constructing an adjacent matrix between nodes; inputting the training sample and the adjacent matrix between the nodes into a wind speed prediction model, training the model through a designed threshold perception loss function of a wind speed-power nonlinear relationship, and outputting a multi-node wind speed prediction probability of a first stage; and inputting the multi-node wind speed prediction probability and the multi-source environmental factor data into the gradient boosting tree model for second-stage prediction, and outputting a multi-node wind power prediction result. According to the invention, prediction errors can be reduced.

The invention discloses a complex knowledge conflict-oriented retrieval enhancement generation method and system. The method comprises three steps of data set construction and type identification, retrieval enhancement generation assembly line construction and reasoning, and evaluation test. The assembly line comprises four modules: a fact mining module generates self-knowledge and self-facts in an unlabeled manner; the context alignment module constructs multiple queries, and obtains diversified evidences through MMR rearrangement; the structured generation module obtains the consistency degree through JSON controlled decoding and multiple sampling voting; and the answer refusing judgment module realizes accurate answer refusing in combination with the comprehensive confidence coefficient. The system is tested on a common and antagonistic data set, the effectiveness of each module is verified through an ablation experiment, and the robustness, the safety and the answer loyalty under a complex knowledge conflict and confrontation scene can be improved.

The invention discloses an enhanced generation query method and system based on multi-granularity retrieval and reinforcement learning strategies. According to the method, semantic analysis is carried out on an original query by utilizing a large language model, the original query is decomposed into a plurality of sub-problems, and each sub-problem generates a query vector; in the multi-granularity vector knowledge base, respectively executing vector similarity retrieval on the query vector of each sub-problem to obtain a related document fragment vector of each sub-problem under each granularity, and further generating a multi-granularity vector set of each sub-problem; weighting the multi-granularity vector set of each sub-problem to obtain a comprehensive context information block, determining the weight of the multi-granularity vector set of each sub-problem through a multi-arm reinforcement learning strategy, and inputting the comprehensive context information block into a large language model to output a query result. According to the method, the retrieval accuracy is improved through semantic decomposition and multi-granularity knowledge collaborative retrieval, results are intelligently integrated through a self-learning mechanism, and lightweight self-adaptive optimization is achieved.

The invention belongs to the technical field of cosmetics, and particularly relates to a cosmetic delivery system based on a natural wall material, a preparation method and application. The cosmetic delivery system is of a core-shell structure, a core is a cosmetic active component, and a shell layer is a composite polymer gel network of sodium alginate, sophorolipid and cellulose. The natural polysaccharide composite wall material is green and safe, has good biocompatibility and strong compatibility with cosmetic formulas, and does not irritate the skin. The delivery system can effectively protect cosmetic active ingredients from being damaged by illumination and oxygen, and the storage stability of the active ingredients is remarkably improved; meanwhile, slow release and targeted transdermal absorption of active ingredients are realized, and the bioavailability is improved.

The invention discloses a plasma rotation type large-area polycrystalline MPCVD diamond growth method, and relates to the technical field of microwave plasma chemical vapor deposition, and the method comprises the following steps: S1, setting environmental parameters of diamond growth in a reactor through a microwave feeder, sampling plasma state data in the reactor, and calculating the plasma state data; if the plasma is stably started, executing S2; and S2, the plasma state in the reactor is adjusted through the plasma regulator according to the plasma state data in the reactor, the coverage area of plasma discharge is increased, and then the growth area of the polycrystalline diamond is increased.

The invention discloses a quadruped robot autonomous exploration method and system based on hierarchical programming, a terminal and a storage medium, and the method comprises the steps: unifying the data of a laser radar and an inertial measurement unit of a quadruped robot, and obtaining a calibrated sensor data stream; the sensor data flow is calculated, and the real-time pose of the quadruped robot under the global coordinate system is output; on the basis of real-time poses, the sensor data flow and an existing point cloud map are registered and fused, a global point cloud map is constructed and updated in an incremental mode, and a local occupation map is generated and updated under a coordinate system of a quadruped robot body; performing macroscopic decision according to the global point cloud map, generating a target viewpoint, performing local viewpoint evaluation and path planning according to the local occupation map and the target viewpoint, and generating path points leading to the target viewpoint; and generating a motion instruction based on the path points to drive the quadruped robot to perform autonomous exploration. According to the invention, stable operation of the quadruped robot in a complex environment is ensured.

The invention discloses a segmented combined type worm grinding wheel based on spiral surface structuring and a laser finishing method, and belongs to the technical field of precise gear grinding. The working surface of the inner side of a spiral tooth groove of the worm grinding wheel at least comprises a section of structured area and a section of unstructured area in the axial direction; the structured area is provided with a crescent groove used for forming a grinding fluid storage and abrasive dust discharge channel in the grinding process. And the unstructured area keeps a continuous grinding surface and is used for finishing the surface of the machined workpiece in the structured area. According to the method, the laser processing head is controlled through multi-axis linkage to accurately describe an arc-shaped processing track in a spiral expansion coordinate system, the morphology consistency and the space precision of grooves are guaranteed, and the manufactured worm grinding wheel has good cooling, chip removal and accurate grinding performance and is suitable for high-efficiency and high-precision gear manufacturing.

This utility model discloses a tunnel fire-fighting foam liquid filling system, belonging to the field of fire-fighting equipment technology. It includes several fire boxes, a foam liquid filling vehicle, and a monitoring center. Both the fire boxes and the foam liquid filling vehicle are networked with the monitoring center to achieve data exchange. Specifically, each fire box contains a foam liquid storage tank and a first control device. The foam liquid storage tank is equipped with a first liquid level sensor, a solenoid valve, a variable frequency delivery pump, and a first flow meter. A flow regulating valve and a second flow meter are installed on the pressure water pipe. All components are connected to the first control device. The foam liquid filling vehicle contains a foam liquid storage tank, a variable frequency high-pressure pump, a battery, a third flow meter, and a second control device. Both the first and second control devices are connected to the monitoring center. This utility model provides a highly efficient, intelligent, and easy-to-maintain tunnel fire-fighting foam liquid filling system.

This invention discloses a netlist-level automated ESD inspection method compatible with multiple processes, belonging to the field of electronic design automation technology. The method includes acquiring the netlist file of the circuit under test, loading an ESD constraint configuration file independent of the netlist file, defining the logical types of the physical networks in the netlist file according to the ESD constraint rule set, classifying them into network types including at least power networks, ground networks, input / output networks, and internal signal networks, performing at least one ESD protection structure check on the circuit under test based on the network types and device pin connections, summarizing the results of each check, and outputting an ESD inspection report. This invention decouples ESD inspection rules from process parameters, enabling replaceable configuration files and improving process portability; it also possesses multi-power domain identification and automatic derivation capabilities for multi-level protection networks, enhancing adaptability to complex designs and inspection accuracy.

The application belongs to the technical field of network security testing and network target range, and discloses an attack simulation script variation method, equipment and medium. The application enables a server to strengthen the direction of a risk problem based on a current attack simulation script and a built-in expert knowledge base. The abnormal coverage of the risk problem direction is improved through variation of the risk problem direction. Meanwhile, a random disturbance strategy is used to ensure that as many risk problems as possible can be found in multiple rounds of variation iteration. The variation script is merged into the built-in script library of the system after the risk is found, so as to achieve the purposes of automatically expanding the script library and reducing the input of artificially generated scripts.

The utility model relates to battery technical field discloses a battery and battery package, a kind of battery, including shell, cover plate, electric core and baffle;Shell has accommodating cavity and open mouth;Cover plate is capped in open mouth, and cover plate is equipped with liquid injection hole;Electric core is located in accommodating cavity;Baffle is connected to the one end of electric core in first direction close to cover plate;Along first direction, the orthographic projection of liquid injection hole on auxiliary plane falls into the orthographic projection range of baffle on auxiliary plane;Wherein, along first direction, the size of baffle is hmm, and the spacing distance between electric core and cover plate is H1mm satisfy: 0.5<=h / H1<=0.8;The battery of the utility model sets up baffle on electric core, and baffle can guide electrolyte from liquid injection hole into accommodating cavity, to avoid forming liquid seal phenomenon, improve electrolyte overall infiltration efficiency;By limiting 0.5<=h / H1<=0.8, can realize the uniform infiltration of electric core from bottom to top, improve the coverage degree of electrolyte to pole piece and diaphragm.

This invention discloses a method for preparing a partitioned buffer layer, a patterned composite substrate, and the same method. The preparation method includes: providing a patterned substrate; the three-dimensional pattern on the surface of the patterned substrate has inclined sidewalls, and gap planes exist between adjacent three-dimensional patterns; forming an argon ion accumulation layer, utilizing the repulsive effect between argon ions to bombard the patterned substrate, making the inclined sidewalls positively charged; sputtering negatively charged aluminum atoms that electrostatically adsorb onto the inclined sidewalls to form an aluminum atom thin film; the sputtered aluminum atoms react with at least nitrogen gas to form a first thin film on the gap plane, and the aluminum atom thin film reacts with nitrogen and oxygen gas to form a second thin film on the inclined sidewalls; the first and second thin films constitute a buffer layer. This invention achieves partitioned film formation of a buffer layer on a patterned substrate, where the film elements, proportions, and crystal quality differ and are controllable in different regions, effectively matching the stress and crystal quality during epitaxial growth and reducing defect density.

The application discloses a gas turbine, a gas turbine blade and a leaf-shaped film cooling hole structure of the gas turbine blade. The existing traditional cylindrical film cooling hole is reshaped into a leaf-shaped structure including a left half circular arc, a right upper half elliptical arc, a right middle half elliptical arc and a right lower half elliptical arc, so that the cooling gas can be divided into three paths when being sprayed out of the hole, and is sprayed out along the passage secondary flow same direction, the film hole center line direction and the passage secondary flow opposite direction respectively, thereby the blowing-off effect of the passage secondary flow on the cooling film is inhibited, the wall-attaching ability and the along-flow development ability of the cooling film are enhanced, the covering uniformity of the cooling film on the base surface is improved, and the cooling efficiency and the service life of the blade are improved. The leaf-shaped film cooling hole structure has the characteristics of strong functionality and wide applicability, and can be widely applied to the cooling technical field of the gas turbine blade of an aero-engine or a ground gas turbine.

A kind of test method based on the combination of large model and test simulation tool, for testing input file, the method comprises the following steps: S1, receiving interface description document and interface request message, and performing check to input file;S2, interface description document and interface request message are parameterized, and interface parameter configuration is generated;S3, according to interface parameter configuration and test target, intelligent generation simulation response content;S4, interface parameter configuration, response message and simulation scene generated are loaded to test simulation engine, and test simulation engine generates or matches corresponding response according to configuration, and returns to the output end of the file to be tested;And a kind of system based on large model and test simulation tool, the present application has the advantages of flexibility and coverage.

The utility model relates to the open -pit mining technical field, and specifically is a kind of open -pit mining operation's reduce dust device, including fixed seat, fixed seat is installed with support mechanism, support mechanism is fixed with water inlet mechanism, water inlet mechanism is communicated with dust suppression mechanism, dust suppression mechanism includes shunt pipe and connecting pipe, fixed seat is fixedly installed with shunt pipe, and the end portion of shunt pipe is communicated with connecting pipe, two groups of pipes are fixedly installed on shunt pipe symmetry, and one end of pipe, away from shunt pipe, is fixed with drain pipe, and a plurality of sector nozzles are fixedly installed on drain pipe equidistantly;Arc shunt pipe, drain pipe cooperate with the sector nozzle of inclined, horizontal setting, form low altitude, ground, high altitude's three-dimensional spray cover, compared with traditional linear type spray pipe, coverage area has somewhat promoted, can effectively inhibit mining area mine car transportation, ore loading and unloading, ore storage and other multi-scene dust.

The utility model relates to the technical field of acid gas treatment, in particular to a multi-stage treatment system for acid gas, which comprises a first-stage alkaline tower, a second-stage alkaline tower, a dehydration facility and an activated carbon adsorption facility which are connected in sequence, the device disclosed by the utility model has the beneficial effects that the two stages of alkaline washing towers are connected in series, so that the total gas-liquid contact area is increased, and the removal efficiency of acid gas is improved; through the dense design of nozzles on the periphery of the tower body, the liquid film coverage rate of the tower wall area is increased, gas escape is avoided, and the alkali washing efficiency is further improved; the Pall ring packing is made of CPVC materials, the corrosion resistance is better than that of traditional PP materials, the service life is prolonged, meanwhile, the packing layer is high in anti-blocking capacity, and the shutdown cleaning frequency is reduced.

The application discloses an intelligent dust removal device for waste gas treatment of a coal-fired power plant, and relates to the technical field of waste gas treatment.The device comprises a dust removal box, an air inlet fixedly connected to the side wall of the dust removal box, a filter plate fixedly connected to the inside of the dust removal box, and a filter effect real-time detection mechanism and a dust cleaning and collecting mechanism.The device can reduce unnecessary troubleshooting and maintenance frequency, thereby reducing maintenance cost and time cost, and can maintain or replace the clogged or damaged filter plate in time when the filter plate is damaged, so that the continuous and efficient operation of the spray dust removal system can be ensured, and the overall operation efficiency is improved.Further, the device can avoid long-time use of the filter plate without timely maintenance or replacement, so that impurities and particulate matter can be prevented from entering the spray dust removal system, the cleanliness of water resources is ensured, and the overall performance of the spray dust removal system is improved.

This application relates to an intelligent four-head electromagnetic clay pot cooker, belonging to the technical field of electromagnetic clay pot cookers. It includes a support plate, a support mechanism slidably connected to the top of the support plate, and a cleaning mechanism slidably connected to the top of the support plate. The cleaning mechanism includes a drive assembly for driving; a rotating rod is rotatably connected to the outside of the drive assembly; the drive assembly is fixedly connected to the outside of the support plate; a support column is fixedly connected to the outside of the rotating rod; a rotating rod is rotatably connected to the outside of the support column; and a connecting ring is rotatably connected to the outside of the rotating rod. This application has the advantages of improving the surface cleanliness of the support plate, having a stable and reliable mechanical transmission structure, automatically starting the cleaning program during idle periods without occupying cooking time, ensuring continuous and efficient operation of the equipment, avoiding scratch damage to the support plate surface by cleaning tools, and extending the service life of the equipment.

This invention belongs to the field of robotic vacuum cleaner technology, specifically relating to an adaptive cleaning method and system for robotic vacuum cleaners based on debris recognition. The invention includes generating a deviation cleaning path from an initial cleaning path. Specifically, this involves acquiring images of debris within the cleaning area, determining the distribution location information of the debris based on the images, generating an initial cleaning path based on the distribution location information, identifying the intersection area between the initial cleaning path and the debris distribution location information, and generating a deviation cleaning path to cover the debris corresponding to the intersection area. By generating a deviation cleaning path, this invention achieves precise cleaning of the debris's distribution location information, thereby improving the cleaning task coverage and ensuring thorough cleaning of the debris area. Simultaneously, the closed-loop optimization process established in this invention enables the robotic vacuum cleaner to possess adaptive learning and continuous optimization capabilities, enhancing its autonomy and robustness in complex environments.

The application relates to the technical field of industrial automation, and provides an unlabeled fault diagnosis method based on sample structure perception and cluster feature learning. The method considers the domain distribution of data clusters in the data space by referring to the ideas of unsupervised clustering and contrast self-supervised learning, performs sample enhancement and sample pairing on the clustered data clusters, obtains a training sample set, constructs a fault diagnosis model of an asymmetric twin architecture, trains the fault diagnosis model based on a bidirectional forward alignment mechanism and a gradient stagnation mechanism using the training sample set, extracts robust fault representations of the samples by learning the feature consistency of the samples in the cluster domain, improves the diversity, coverage and structure learnability of the unlabeled data in the feature space, provides more sufficient and more robust training data basis for subsequent self-supervised representation learning, and further improves the fault diagnosis performance of the fault diagnosis model under the condition of unlabeled data.

The invention relates to the technical field of unmanned aerial vehicle control, in particular to a GIS-based unmanned aerial vehicle collaborative inspection scheduling method and system, and the method comprises the steps: obtaining the geographic information data of a target inspection region and the real-time state data of a plurality of unmanned aerial vehicles; generating an initial task set according to the geographic information data and a preset inspection task, and mapping each inspection point in the initial task set to a coordinate grid corresponding to the geographic information data; judging whether the initial task set meets a preset distribution condition or not; and determining a target task packet corresponding to each unmanned aerial vehicle according to the initial task set and the real-time state data of the plurality of unmanned aerial vehicles in response to the initial task set satisfying a preset distribution condition. According to the invention, by acquiring the state and geographic information data of the unmanned aerial vehicle in real time, the inspection task can be reasonably allocated according to the electric quantity and position of each unmanned aerial vehicle, and the efficiency and timeliness of task execution are ensured.

The invention discloses a high-altitude glass curtain wall cleaning device based on an unmanned aerial vehicle, and relates to the technical field of glass curtain wall cleaning, the high-altitude glass curtain wall cleaning device comprises an unmanned aerial vehicle mounting platform, and the unmanned aerial vehicle mounting platform is mounted at the bottom of the unmanned aerial vehicle; the water tank is mounted in the unmanned aerial vehicle mounting platform; the adsorption type cleaning actuator is arranged at the end, away from the water tank, of the unmanned aerial vehicle mounting platform, and the water tank is connected with the adsorption type cleaning actuator through a pipeline; the pushing mechanism is arranged on the unmanned aerial vehicle mounting platform and located between the water tank and the adsorption type cleaning actuator, and a locking mechanism used for separation / connection of the adsorption type cleaning actuator is arranged between the adsorption type cleaning actuator and the pushing mechanism; and the safety rope winding mechanism is arranged in the unmanned aerial vehicle mounting platform and is connected with the adsorption type cleaning actuator. The unmanned aerial vehicle serves as an intelligent transportation platform and is responsible for accurately transporting the integrated adsorption type cleaning actuator to an operation starting point and recycling the integrated adsorption type cleaning actuator.

The application discloses a kind of photovoltaic power probability prediction method and system, it is related to photovoltaic power generation power prediction field, including: obtaining historical meteorological data and photovoltaic power data and pre-processing and division, constructs daily meteorological feature vector and carries out density peak clustering, generates the soft assignment vector of daily meteorological feature vector;Based on the input feature matrix of pre-processed historical meteorological data, variational autoencoder is input with the input feature matrix and soft assignment vector, and the decoupled initial hidden variable is obtained;SDE-Net is constructed, and the photovoltaic power prediction mean is solved to obtain with initial hidden variable, and final prediction distribution is generated;Variational autoencoder and SDE-Net are jointly trained, and photovoltaic power prediction model is obtained;Obtain the sample to be predicted, and predict using photovoltaic power prediction model, and obtain photovoltaic power probability prediction result.The application greatly improves the reliability and engineering practicability of photovoltaic power probability prediction.

A method for generating typical watershed hydro-wind-solar hybrid scenarios based on an improved C-vine Copula model is proposed. First, based on long-term multi-energy complementarity requirements, multi-year runoff data from a power station and power output data from wind and solar power stations within the watershed are selected, outliers are removed, and missing values ​​are filled, completing data preprocessing. Next, runoff and wind / solar output are set as random variables, and nonparametric kernel density estimation is used to obtain the marginal distribution functions of each variable. Then, the improved C-vine Copula model is used to accurately characterize the spatiotemporal correlation between water, wind, and solar resources, deriving the joint probability distribution. Then, Latin hypercube sampling is used to collect uniformly random samples stratified, and K-means clustering is used to generate typical scenarios. Finally, the effectiveness of the scenarios is evaluated from the perspectives of temporal and spatial correlation and randomness. This technology can effectively address the randomness and complexity of water, wind, and solar resources, generating realistic typical scenarios, providing valuable reference for the planning and scheduling of watershed hydro-wind-solar hybrid systems.

The invention relates to a glue mixing assembly which comprises a base, a lifting mechanism and a weighing mechanism are arranged on the base, and a stirring barrel is arranged on the weighing mechanism and the lifting mechanism; a stirring barrel cover is further erected on the base, the position of the stirring barrel cover corresponds to the upper portion of the stirring barrel, and a stirring mechanism and a feeding mechanism are arranged on the stirring barrel cover; wherein the output end of the lifting mechanism extends and drives the stirring barrel to ascend, the lower end of the stirring barrel is separated from the weighing mechanism, the upper end of the stirring barrel is in sealing contact with the stirring barrel cover, the feeding mechanism conveys materials into the stirring barrel, and the stirring mechanism stirs the materials in the stirring barrel; the output end of the lifting mechanism shrinks and drives the stirring barrel to descend, the upper end of the stirring barrel is separated from the stirring barrel cover, the lower end of the stirring barrel is supported on the weighing mechanism and separated from the output end of the lifting mechanism, and the weighing mechanism weighs the stirring barrel. The whole process is automatically and continuously operated, reliable and stable performance of the glue is ensured, glue preparation can be completed within specified time for use, the preparation efficiency is high, and the reliability is good.

The invention provides a three-phase electromagnetic coupling mechanism and a wireless power transmission system, and relates to the technical field of wireless power transmission. The three-phase electromagnetic coupling mechanism comprises a magnetic core layer, an A-phase coil, a B-phase coil and a C-phase coil, wherein the A-phase coil, the B-phase coil and the C-phase coil are arranged on the magnetic core layer in a stacked mode and form a three-layer stacked structure. The A-phase coil, the B-phase coil and the C-phase coil respectively comprise two coil sections which are electrically connected, each coil section covers a 180-degree corresponding area in the circumferential direction of the magnetic core layer, and orthographic projections of the two coil sections of each phase coil on the magnetic core layer are in central symmetry; and each layer of the three-layer laminated structure is provided with coil parts of coil sections of at least two different-phase coils. Multi-layer participation and symmetrical coverage of the three-phase coils are realized in the three-layer laminated structure, and each layer comprises different-phase coil sections, so that the problems of low space utilization rate and non-uniform magnetic field of a planar structure are effectively solved, and the magnetic coupling stability and the power transmission performance are improved.

The utility model discloses an airport big top aluminum honeycomb board composite pre -buried section bar mounting structure, including pre -buried section bar, honeycomb board, bolt, Z type hanger spare and keel. Pre -buried section bar is aluminum section bar extrusion molding, and the length bolt sliding slot is established on it along the length direction, and bolt can move in sliding slot and adjust installation position, pre -buried section bar and honeycomb board panel contact one side are equipped with V -shaped tooth saw tooth surface, and through the adhesion and vacuum composite technology fixed in the back surface structure of honeycomb board, Z type hanger spare is connected with pre -buried section bar through bolt, and is connected fixedly with keel, realizes the quick installation and disassembly of board material. The utility model discloses simple structure, firm installation, strong adaptability, high safety, is applicable to the efficient construction and maintenance of big space top of airport etc.