262results about How to "Strong expandability" patented technology

The invention provides a twin power station collision visual simulation method and system based on physical simulation, and relates to the technical field of data processing, and the method comprises the steps: obtaining a three-dimensional geometric model of a twin power station, carrying out space division, extracting geometric parameters, obtaining material data, constructing a material correlation model and a mechanical model, and carrying out fusion to obtain a physical simulation model; acquiring initial collision condition parameters as boundary conditions, performing local grid encryption, constructing a nonlinear kinetic equation of a collision process, performing time domain solution, determining equivalent stress distribution and equivalent plastic strain distribution, and generating a collision result; judging whether plastic deformation or fracture failure occurs, generating full collision process physical field data, generating a collision animation frame sequence, generating a stress distribution cloud picture and a plastic strain cloud picture, constructing a fracture special effect, and comprehensively generating a collision visual scene.

The invention discloses a manufacturing method of a two-dimensional semiconductor field effect transistor based on a high-k gate dielectric integration technology capable of eliminating a buffer layer. The manufacturing method comprises the following steps: depositing a back gate electrode and a back gate dielectric on a substrate in sequence; transferring the channel layer to the back gate medium; sequentially forming a buffer layer, a source electrode, a drain electrode, a top gate dielectric layer formed by a high-k dielectric material and a top gate electrode on the channel layer; and annealing treatment is carried out in a vacuum environment, and the buffer layer sublimates, so that Van der Waals interfaces are formed between the channel layer and the top gate dielectric layer and between the channel layer and the source electrode as well as between the channel layer and the drain electrode. According to the high-k gate dielectric integration technology based on the erasable buffer layer, the erasable buffer layer after vacuum annealing is utilized, damage to a two-dimensional material is avoided, a high-quality high-k gate dielectric is deposited, interface regulation and control between a channel layer and a top gate dielectric are achieved, and the equivalent oxide thickness is reduced; and good contact between the channel layer and source and drain metal is realized, the contact resistance of the transistor is reduced, and the electrical performance of the transistor is improved.

The invention discloses a method for determining metal fuel multi-phase structure irradiation microstructure evolution and performance change. Related physical property parameters are calculated through molecular dynamics and a first principle, and a diffusion coefficient is corrected by utilizing an irradiation acceleration theory to obtain a diffusion coefficient under a metal fuel irradiation condition; the method comprises the following steps: constructing a metal fuel polycrystalline multiphase organization structure evolution phase field model, defining phase field variables required in the model, and determining an evolution equation of the phase field variables; calculating to obtain a phase-field variable initial value, then solving the phase-field variable evolution equation, and obtaining a phase-field variable numerical solution; the phase field variable numerical solution is subjected to visualization processing, and a metal fuel polycrystalline multiphase structure distribution diagram is obtained; calculating the size and distribution of an irradiation structure in the metal fuel to obtain an evolution rule of the irradiation structure along with fuel consumption; and calculating the thermal conductivity, swelling and stress in the metal fuel by using the size and distribution of the irradiation structure in the metal fuel, and obtaining the change rule of the performance of the metal fuel along with fuel consumption.

The invention provides an in-situ 3D printing secondary lining and propelling device based on a main beam type TBM. The device comprises a main beam, a three-dimensional motion module installed at one end of the main beam, a propelling module installed at the other end of the main beam and an in-situ 3D printing module installed on the three-dimensional motion module. The three-dimensional motion module is used for controlling the moving speed of an in-situ 3D printing spray head in the circumferential direction, the radial direction and the axial direction of a tunnel, the in-situ 3D printing module comprises a spray head and a structured light camera, and the structured light camera is used for scanning to generate tunnel wall morphology and providing data support for planning printing process parameters; the secondary lining with high mechanical reliability is manufactured in situ; and the propelling module supports and propels the whole device to advance along the tunnel on the premise of ensuring that the in-situ 3D printing secondary lining is not damaged. The method has great application potential in the aspects of self-adaptive regulation and control of secondary lining construction parameters and intelligent construction.

The invention belongs to a robot navigation method, and aims to solve the technical problems of difficulty in establishing a geometric map in a non-structural scene, dependence on tags from laser radar data, easiness in ignoring long-distance features and slow reasoning time in the conventional navigation or exploration method. According to the robot visual navigation method based on comparative learning and the related device, after current observation is obtained, the current observation is input into a trained observation encoder to obtain a corresponding feature vector, and then a pre-selected batch action sequence passes through an action encoder to extract the corresponding feature vector; and calculating the similarity between the current observation and each action sequence through a vector inner product, selecting the action sequence with the highest similarity, and inputting the selected action sequence into a robot controller for controlling the robot to execute corresponding actions. Compared with a method for directly generating the action sequence, the method has the advantages that the difficulty of selecting one action sequence is lower, and the expansibility and generalization are better.

The invention provides a 3D printing lining ground test device fusing in-situ laying of reinforcing steel bars. The device comprises a stirring and pumping module, a 3D printing lining module, a 3D printing lining mechanical arm, a reinforcing steel bar in-situ laying module, a reinforcing steel bar in-situ laying mechanical arm and a tunnel ring, the 3D printing lining module comprises a spray head, and the reinforcing steel bar in-situ laying module comprises a flexible reinforcing steel bar clamping head and a structured light camera; the stirring and pumping module stirs to prepare a fresh concrete material and pumps the material to the 3D printing lining module, the material pumped to the 3D printing lining module is printed in the tunnel ring through the spray head, and the flexible steel bar clamping head clamps and places a steel bar on the printed concrete. And the structured light camera scans the tunnel section morphology and the surface morphology of the printed lining part, and provides data support for motion planning of the mechanical arm. The method has great application potential in simplifying the lining construction process and efficiently building the long-term stable tunnel.

The invention discloses a method for improving the efficiency of a perovskite solar cell, and belongs to the technical field of solar cells. The insulating spacer film prepared between the electron transport layer and the perovskite layer of the perovskite solar cell by adopting the electron beam evaporation method has high uniformity, the cell interface structure can be optimized, defects are reduced, charge recombination loss is reduced, and the photoelectric conversion efficiency and stability are effectively improved. The insulating spacer layer not only can block external moisture and pollutants, reduce direct contact between the perovskite layer and the electron transport layer and prolong the service life of the cell, but also can inhibit internal ion migration and slow down performance degradation. By accurately regulating and controlling the thickness of the insulating spacer layer, charge transmission optimization and compound loss minimization are realized. An innovative technical path is provided for research and development of efficient and stable perovskite solar cells, and further development of the solar cell technology is expected to be promoted.

The invention relates to a field inspection method and device based on a quadruped robot and the quadruped robot. The method comprises the following steps: determining position information and pose information of an inspection key point; in the field inspection process of the quadruped robot based on the position information and the pose information of the inspection key point, acquiring a field environment image acquired by the quadruped robot; segmenting an inspection path area image from the field environment image, and determining obstacle point information from the inspection path area image; performing local path planning by combining a dynamic window method according to the obstacle point information; the local path planning is used for guiding the quadruped robot to inspect according to the inspection path center line; and based on the path of the local path planning, performing routing inspection on the field routing inspection site in combination with the position information and the pose information of the routing inspection key points. According to the invention, the deviation can be corrected in real time, so that the inspection navigation precision is improved, and the quadruped robot can inspect according to an ideal route.

The invention discloses a method for realizing signal identification of a frequency hopping unmanned aerial vehicle based on wireless spectrum analysis, which comprises the following steps: acquiring image transmission data and frequency hopping remote control data of the unmanned aerial vehicle, acquiring 50 parts of data as original data by each unmanned aerial vehicle, converting an acquired one-dimensional unmanned aerial vehicle time domain signal into a two-dimensional time frequency signal through short-time Fourier transform, the method comprises the following steps: performing signal calibration on data, constructing a model framework, extracting features of unmanned aerial vehicle signals by means of a multi-layer convolutional network of a vgg model, performing feature extraction through reasonable design of a convolution kernel and the number of network layers, and after a stable model is trained, performing feature extraction on the unmanned aerial vehicle signals. An output result of the model is converted into possible position information of each signal element of the frequency hopping unmanned aerial vehicle signal in time axis prediction on a time-frequency graph, accurate signal element positions obtained by signal matching are detected one by one to ensure independence of the signal elements, and data subjected to signal verification is subjected to data arrangement; and removing statistically redundant and repeatedly detected elements, and classifying.

The invention relates to the technical field of machine learning, in particular to a boiler energy saving method based on IOT data analysis, which comprises the following steps: acquiring a boiler operation parameter set in real time through an Internet of Things sensor, and substituting the boiler operation parameter set into a parameter optimization model to obtain a plurality of different boiler operation parameter combinations; the multiple different boiler operation parameter combinations are substituted into the boiler operation state prediction model, and then multiple sets of prediction results in one-to-one correspondence with the boiler operation parameter combinations are obtained; the fitness is evaluated based on the prediction result corresponding to each boiler operation parameter combination, the boiler operation parameter combination with the highest fitness is marked as the optimal boiler operation parameter, and a corresponding boiler operation parameter optimization suggestion is generated based on the optimal boiler operation parameter. According to the method, the boiler operation data collected in real time are analyzed, the optimization suggestions are generated, operators are helped to reasonably adjust the operation parameters of the boiler under various working conditions, and the effects of energy conservation and emission reduction are achieved.

The invention relates to an intelligent fish community stability evaluation method and system based on a network model, and the method comprises the steps: optimizing species distribution data based on the influence of a single species on community biodiversity and the influence of interspecific interaction on a community structure, obtaining species distribution optimization data, and constructing a community association network model; quantifying the functional diversity overlapping degree of the species by adopting a PCoA method and constructing a functional ecological niche network model; constructing a comprehensive network model according to the community association network model and the functional ecological niche network model; and constructing a radar map according to the community association network model, the functional ecological niche network model and the comprehensive network model, and evaluating the network stability based on a radar map area method. According to the method, the deficiency of the interaction relationship between the species caused by incomplete sampling can be better reflected, the network structure is more complex and closer to the real situation, the interaction relationship between the species can be deeply mined, and the accuracy of the evaluation result and the comparability between different biocenosis networks are improved.

The invention belongs to but not limited to the technical field of electrode materials, and particularly relates to a preparation method of a bamboo-based hard carbon sodium battery negative electrode material, which comprises the following specific steps: S1, cleaning and drying natural bamboo, scraping surface bamboo green with a knife, and cutting into small blocks; s2, a dilute acid solution is prepared, the bamboos are soaked in the dilute acid solution in a vacuum mode, then the bamboos and the dilute acid solution are transferred into a hydrothermal kettle together, a solvothermal acidolysis reaction is conducted under the high-temperature and high-pressure condition, ash removal and impurity removal are conducted, and meanwhile the bamboos are softened; s3, the bamboo wood subjected to solvothermal acidolysis is washed with water and dried, and a tubular furnace is used for pre-carbonization treatment; after pre-carbonization, a sample is subjected to ball milling, grinding and screening, then is transferred into a graphite mold, and is put into a discharge plasma sintering furnace for high-temperature sintering carbonization; and S4, carrying out ultrasonic oscillation on the carbon powder subjected to discharge plasma treatment, re-screening, and carrying out chemical vapor deposition carbon coating to obtain the bamboo-based hard carbon sodium battery negative electrode material.

The invention discloses a multi-dimensional monitoring and intelligent fire extinguishing module linkage system for transformer fire. The system comprises a fire early warning system, a fire detection system, a mobile track system, an intelligent fire extinguishing module and an interactive communication system. The fire early warning system judges the overload risk by collecting the real-time operation data of the transformer, and sends out an early warning signal through the early warning unit when detecting that the load fluctuation exceeds a preset threshold value. The fire detection system monitors the environment in the transformer room in real time, positions the abnormal signal generation position, dispatches the multiple intelligent fire extinguishing modules, and cools temperature abnormal points or starts fire extinguishing measures in a centralized mode through the transformer surface moving track system. The intelligent fire extinguishing module and the multi-dimensional monitoring system are interconnected in real time, and the fire extinguishing posture is dynamically adjusted. Through real-time monitoring, accurate positioning, flexible regulation and control and real-time interconnection, early-stage temperature and fire abnormity of the transformer substation can be found in time, and a reliable intelligent protection scheme is provided for fire extinguishing.

The invention relates to the technical field of motor driving, and discloses a universal integrated motor driving device, which comprises an optocoupler isolation module, an integrated logic module, a power MOS (Metal Oxide Semiconductor) tube driving module, a power module and a current-limiting protection module, the optical coupler isolation module is connected with the integrated logic module; the integrated logic module is connected with the power MOS tube driving module; the power MOS tube driving module is connected with the power module; the power module is connected with a load motor; and the current-limiting protection module is connected with the power module. According to the invention, the optical coupler isolation module, the logic processing module, the MOS tube driving module and the current-limiting protection module are modularly integrated, so that the circuit design is simplified, and the reliability and maintainability of the system are improved.

The invention discloses a transformer area topology identification method and system based on Kirchhoff's law, and relates to the technical field of low-voltage transformer area topology identification, and the method comprises the steps: obtaining low-voltage rural power grid transformer area LMUs and user meter data, and carrying out the preprocessing; for LMUs data, establishing an LMUs-LMU identification relation model based on the Kirchhoff's law; based on the sequence of the LMUs from high to low, establishing an LMU-LMU relation model based on the Kirchhoff's law for the LMUs to be compared and the LMUs in the existing LMU-LMU topological structure one by one, and obtaining the real positions of the LMUs to be compared in the LMU-LMU structure; establishing an LMU-user meter identification relation model; and based on the identified complete LMU-LMU structure, establishing an LMU-household meter identification model based on Kirchhoff's law for each household meter and all LMUs, and finally determining the LMU to which the current household meter belongs. According to the invention, in a power topology identification scene based on data analysis, the investment of resources such as manpower and material resources is reduced, the topology identification accuracy can be ensured, and a set of transformer area topology identification system with low cost and high efficiency is formed.

The invention provides a visual testing method and equipment for display information in an automobile, and relates to the technical field of visual testing. The method provided by the invention comprises the following steps: photographing an information display area through an image acquisition instrument to obtain a target image; identifying display information from the target image, and judging whether the display information has double images or not; if no ghosting exists, determining a first visual size of the display information body, and determining a body view angle of the display information according to the first visual size; if the display information body has the double image, determining a first visual size of the display information body and a second visual size of the double image of the display information, and determining a double view angle of the display information according to the first visual size and the second visual size; and performing visual testing on display information according to the body view angle and the duplicate view angle. According to the invention, the performance of in-vehicle visual display can be tested, and whether information content can be expressed timely and effectively or not is judged.

The invention discloses a coronary artery segmentation method in combination with MambaASPP and a combined loss function. The method comprises the following steps: 1, through non-zero data cutting and resampling adjustment, computing resources are saved, and a model can better process images with different resolutions; and 2, on the basis of the U-Net model, a residual structure is added to each block in an encoder and a decoder, and then a MambaASPP module is added to a bottleneck layer, so that local boundary positioning and background and foreground contrast are enhanced, and small blood vessel segmentation accuracy is improved. And 3, in the U architecture of the model, adding a segmentation head to each layer to obtain a segmentation result, and supervising the module of each layer through a loss function to enable the model to learn detail information in advance. And 4, supervising model training: combining the cross entropy, Dice and cbDice according to a weight ratio of 3: 1: 2 to form a loss function, supervising from different angles, and improving the segmentation effect.

The invention relates to a distributed self-adaptive signal control method considering downstream traffic pressure conduction influence, which comprises the following steps of: estimating the number of queuing vehicles at an entrance lane of a downstream intersection to obtain real-time information of a downstream traffic state; constructing a signal control agent considering the body and traffic states of a plurality of downstream intersection entrance lanes, bringing the number of queuing vehicles into an input state and a reward function of the agent at the same time, and covering all possible signal phase combinations in an action set; a correction coefficient is introduced to adjust a control scheme selection strategy of the intelligent agents, a deep reinforcement learning framework based on a near-end strategy optimization algorithm is constructed, and the intelligent agents continuously optimize the control strategy through a distributed training method; and outputting an optimal control scheme by using the trained intelligent body, and adaptively controlling the intersection signal lamp. Compared with the prior art, the method can achieve the coordination control optimization of the traffic of the whole road network under the condition that only a small number of agents are deployed in the road network.

The utility model discloses a rope driving type goods storing and taking system which comprises a goods shelf, and the goods shelf is provided with multiple layers of storage positions. The driving system can drive the taking and placing mechanism to reach each storage position; the taking and placing mechanism can take out the goods from the storage positions and can store the goods into the storage positions; the driving system comprises at least three groups of rope pulling devices, each rope pulling device is provided with a rope directly or indirectly acting on the taking and placing mechanism, and the force application directions of the ropes are different; and the maintaining device is used for maintaining the posture of the taking and placing mechanism. According to the utility model, the plurality of groups of pull rope devices drive the pick-and-place mechanism to move transversely and longitudinally through the ropes, the pull rope devices are convenient to install, and the pull rope devices act on the pick-and-place mechanism through the soft ropes, so that the installation position of the pull rope devices is less limited, and the overall expansibility of the goods access system is strong; and only the pull rope device needs to be reinstalled, so that the expansibility of the system is greatly improved.

The invention provides a multifunctional terminal integrating capturing, locking, driving output and power supply. The multifunctional terminal comprises a capturing and locking module, a driving output module and a positioning module, the capture locking module and the drive output module both adopt a structure with parallel shafting input and output, and the capture locking module converts the input of a motor into translational output and drives a gripper at the tail end to realize coarse positioning of a target to be captured and pullback of the target to be captured in the whole capture process; the positioning module is used for realizing middle positioning and fine positioning of a to-be-captured target after coarse positioning and capturing of the gripper, and providing a locking force for the captured target together with the capturing and locking module when the target is captured in place; and the driving output module is used for providing power supply, rotating speed and torque output for the captured target according to requirements after the target is captured in place.

The invention provides a method and system for evaluating the contribution rate of a driving factor to vegetation carbon sequestration change, and relates to the field of data processing, and the method comprises the steps: calculating the vegetation carbon sequestration data of a to-be-evaluated region in a to-be-evaluated time period according to the vegetation net primary productivity data of the to-be-evaluated region in the to-be-evaluated time period; obtaining driving factor data of the to-be-evaluated area in the to-be-evaluated time period, and calculating a change trend of a plurality of driving factors according to the driving factor data of the to-be-evaluated area in the to-be-evaluated time period; according to the vegetation carbon sequestration data and the driving factor data of the to-be-evaluated region in the to-be-evaluated time period, calculating correlation between the plurality of driving factors and vegetation carbon sequestration; and based on the change trend of the plurality of driving factors and the correlation between the plurality of driving factors and the vegetation carbon sequestration, calculating the contribution rates of the plurality of driving factors to the vegetation carbon sequestration change of the to-be-evaluated area in the to-be-evaluated time period, and having the advantage of evaluating the contribution rates of different driving factors to the vegetation carbon sequestration change.

The invention discloses a full-automatic connector assembling machine which is good in stability, high in precision, simple in structure and good in expansibility. According to the technical scheme, the device comprises a workbench and a plastic shell conveying station arranged on the workbench, the plastic shell conveying station comprises a main material channel and a plastic shell conveying mechanism used for conveying a plastic shell into the main material channel, and the main material channel is provided with at least one pin conveying, cutting and inserting integrated station. The device has the beneficial effects that the conveying, cutting, inserting, bending and detecting work of the contact pin can be completed on one device at the same time, and the stability is good.

The invention discloses a catalyst for synthesis of methane by electrocatalytic reduction of carbon dioxide and a preparation method and application thereof, and the preparation method comprises the following steps: adding soluble copper salt, hexadecylamine and glucose into water, and carrying out ultrasonic dispersion to obtain a mixed solution; performing a first hydrothermal reaction on the mixed solution at 110-130 DEG C, mixing the mixed solution with a mixed solution of silver salt and imidazole, and then performing a second hydrothermal reaction at 45-55 DEG C for 20-30 minutes; and after the reaction is completed, carrying out solid-liquid separation, and washing and drying the solid. The bimetallic catalyst is jointly formed by copper and silver, the activity of the catalyst can be improved through the synergistic effect between catalytic components, more catalytic active sites are provided through the special morphology of the bimetallic catalyst, and the problems that in the existing electrocatalytic reduction process, the catalyst is poor in stability, low in yield, serious in side reaction and the like are solved; and the method has the advantages of simple synthesis process, strong electrocatalytic activity, good stability and the like.

The invention provides an in-situ growth PEMEC anode, a preparation method thereof and application of the in-situ growth PEMEC anode in PEM hydrogen production. The preparation method comprises the following steps: soaking a Ti substrate in an etching reagent solution to obtain a Ti-F substrate; the Ti-F substrate is placed in an alkaline solution for a hydrothermal reaction, and a Ti-OH substrate is obtained; the surface of a Ti-OH substrate is coated with a metal source, and the in-situ growth PEMEC anode is obtained through drying and calcination. The invention also provides the in-situ growth PEMEC anode prepared by the method and application of the in-situ growth PEMEC anode in PEM hydrogen production. According to the invention, the carrier is activated under a mild condition, and an inert TiO2 film on the surface of the Ti substrate is changed into an active Ti-OH species, so that chemical bonding between the Ti substrate carrier and metal catalytic layers such as iridium, gold and the like is realized, the interaction between the carrier and the catalytic layers is enhanced, and the stability of the anode is effectively improved.

The invention relates to the field of active equalization of a series lithium ion battery pack, in particular to an equalization topological structure of a DC-DC multi-winding flyback battery equalization topological unit. Comprising an inversion unit, a multi-winding transformer and M battery equalization topology units. The voltage of the battery pack is used for supplementing electric energy to the under-voltage battery after passing through the converter, so that the aim of equalization is fulfilled. Compared with the existing flyback equalization technology, the switching frequency is improved to ultrahigh frequency of 10MHz, the equalization response speed is greatly improved, and meanwhile, the soft switching technology is adopted, so that the full-control switches are switched on in a zero-voltage manner, and the diodes are switched off in a zero-current manner. Along with the improvement of the switching frequency, the passive device can be reduced into a small-capacity patch package, for example, a planar air-core transformer can be adopted as a transformer, so that the power density is effectively improved. The circuit has the advantages of simple and reliable structure, fast response capability, few passive devices, small circuit loss, strong expansibility and stable output of direct current.

The invention discloses an indoor positioning method for constructing a fingerprint map based on multi-chain interpolation, and belongs to the technical field of wireless device positioning method research. The method comprises the following steps: sampling a sample target according to a sampling rule, and sampling to obtain a sampling point data set, wherein the sampling point data set comprises position coordinate information of the sampling point and an RSS value of the sampling point; inputting the sampling point data set into the system for constructing a fingerprint map based on multi-chain interpolation; the system for constructing a fingerprint map based on multi-chain interpolation performs internal processing to obtain a complete fingerprint map, wherein the complete fingerprint map comprises a sampling point data set and a data set of points to be inserted, wherein the data set of points to be inserted comprises position coordinate information of the points to be inserted and an RSS value of the points to be inserted; and obtaining the position coordinate information of the points to be detected through the complete fingerprint map and the RSS value of the points to be detected. Compared with a traditional indoor positioning method, the method of the invention improves positioning accuracy and stability.

The invention provides a vehicle-mounted unmanned aerial vehicle clustering automatic operation platform, and a multi-rotor unmanned aerial vehicle operation system comprises a selection mechanism used for moving a selected unmanned aerial vehicle from a collection area to a take-off and landing area, and / or moving the unmanned aerial vehicle landing in the take-off and landing area to the collection area; and the pulling and lifting homing mechanism operation units are arranged in the take-off and landing areas and used for adjusting the poses of the unmanned aerial vehicles relative to the vehicle platform, the number of the pulling and lifting homing mechanism operation units is not less than one, and not less than one unmanned aerial vehicles collected in the same collection area utilize the same pulling and lifting homing mechanism operation unit. The method has the beneficial effects that the unmanned aerial vehicle operation unit comprises a homing platform responsible for homing operation of the unmanned aerial vehicle and a fixed platform responsible for collection and storage of the unmanned aerial vehicle, the unmanned aerial vehicle achieves cross-platform movement through matched mechanisms and control, the number of two sets of homing platforms can be reduced through the method, and then the problems of the size, weight, space and the like of the platforms are solved.

The invention discloses a variable-structure self-powered marine riser vortex-induced vibration suppression bionic robot which comprises a flow dividing tip, an upper fixing ring, a lower fixing ring, a rear cavity and two spoilers. The shunting tip and the rear chamber are oppositely mounted on the upper fixing ring and the lower fixing ring; the upper end and the lower end of the rear cavity are each provided with an annular extending part, and spoiler plate clamping grooves are formed in the annular extending parts. The front ends of the two spoilers are installed in the spoiler clamping groove in a V-shaped sliding mode, and vortex starting plates are arranged at the front ends of the spoilers. A crawling device is arranged in the shunting tip and is used for enabling the whole robot to do up-and-down or rotary motion; universal wheels and a floating and sinking device are arranged in the rear cavity, and the floating and sinking device is used for driving the whole robot to float and sink up and down; and an ocean current sensor and a pressure sensor are arranged on the shunting tip. Compared with a fixed passive vibration suppression scheme, the method has the advantages of being flexible, efficient, convenient to maintain and good in expansibility.

The invention discloses a preparation method of a self-supporting three-dimensional electrocatalyst with an adjustable pore structure and ordered metal distribution. The method is divided into the following two methods according to different adding steps of metal nanoparticles or metal precursors: the method I comprises the following steps: 1) preparing a porous organic polymer by adopting an ice template method; 2) dissolving a metal precursor in an ethanol solution at room temperature, mixing with the porous organic polymer carrier, and standing until ethanol is completely volatilized to obtain a porous organic polymer with orderly distributed metals; and 3) performing high-temperature carbonization on the porous organic polymer with orderly distributed metals to obtain the porous organic polymer. The method II comprises the following steps: a) preparing a porous organic polymer with orderly distributed metals by adopting an ice template method; and b) carrying out high-temperature carbonization on the porous organic polymer with orderly distributed metals. The application of the porous organic polymer material in the fields of catalysis, composite material modification, supercapacitors and the like in other fields can be expanded through copolymerization or addition of functional fillers (such as magnetic particles, conductive fillers and the like).

The utility model relates to the technical field of atomization, in particular to an electronic atomization device which comprises a shell. An atomizing core; the display screen assembly comprises a display screen, a screen control panel and a first connector which are connected into a whole, and the screen control panel is electrically connected with the display screen and the first connector; the circuit board is electrically connected with the atomizing core and the first connector. The display screen, the screen control panel and the first connector are connected into a whole to form the display screen assembly; when the electronic atomization device is installed, the display screen assembly and the circuit board can be respectively installed on the shell firstly, and then the circuit board is connected with the first connector of the display screen assembly, so that the electronic atomization device is greatly convenient to assemble due to the fixed connection mode. Moreover, the display screen assembly forms a modular structure and is provided with a screen control panel, so that the display screen assembly has higher expansibility and compatibility and can be easily applied to other types of electronic atomization devices, and the development cost of other products is effectively reduced.