15results about How to "Improve landing efficiency" patented technology

The present invention belongs to the field of new energy technology, and discloses a new energy storage configuration method and system. The method comprises the following steps: constructing a regional integrated new energy generation and storage distribution map; classifying several new energy storage systems in the new energy generation and storage distribution map; collecting real-time operation data of new energy power stations, and using a power generation prediction model to predict power generation; constructing a consumption target function of the new energy power station and a cost target function of the attached energy storage cluster; according to the consumption target function and the corresponding cost target function, using a new energy storage configuration model, performing new energy storage configuration, and obtaining a new energy storage configuration plan; visually displaying several new energy storage configuration plans in combination with the new energy generation and storage distribution map. The present invention solves the problems of poor energy storage configuration effect, low accuracy, lack of value of the plan, poor real-time performance, and poor timeliness in the prior art.

The application discloses an industrial robot predictive maintenance system based on machine learning, and relates to the technical field of industrial robot maintenance.The application comprises a data acquisition module, a preprocessing module, a feature engineering module, a hybrid prediction model unit, a meta-learning and field adaptation module, a federal learning coordination module, a digital twin sample generation module and a dynamic decision engine unit.The application has the following advantages: through the collaborative mechanism of the meta-learning and field adaptation module, a model-agnostic meta-learning algorithm is used to train a cross-brand general feature extractor;different brand data distributions are confused by combining an adversarial field adaptation network;the "data gap" caused by the definition of sensor parameters and the difference in sampling frequency in traditional modeling is broken through;the model is collaboratively trained under the premise that the data of each brand is not out of the local;the global model containing the commonness of cross-brand faults is generated;and the "data island" problem caused by commercial security requirements in the industrial scene is solved.

The invention belongs to the technical field of fuel cells, and particularly relates to a high-power closed cathode air-cooled fuel cell metal bipolar plate, an electric pile, a system and a design method.The metal bipolar plate specifically comprises an anode plate, a cooling plate and a cathode plate which are arranged in an upper-layer structure, a middle-layer structure and a lower-layer structure; a plurality of anode runners for anode fuel gas to flow are arranged in the anode plate; a plurality of cathode runners for cathode reaction air to flow are arranged in the cathode plate; a plurality of cooling straight flow channels for cooling gas to flow are formed in the cooling plate; the effects of high power density and low cathode voltage of the fuel cell are achieved by a regionalized metal bipolar plate configuration, and the problems of high parasitic power consumption and the like of an air compressor caused by low power density and large cathode voltage drop of the fuel cell under a high-power working condition in the prior art are effectively solved.

The present invention provides an image migration method and system for reducing domain differences, including: obtaining a virtual image; based on the virtual image, using different shaders to generate multiple auxiliary images of the virtual image; based on the multiple auxiliary images of the virtual image, using a generator based on a convolution kernel-based generative adversarial network to obtain a migration image; wherein the generator based on the convolution kernel-based generative adversarial network uses a convolution layer to convolve the multiple auxiliary images respectively, performs an addition operation on the output of the convolution layer and inputs it into a convolution layer to obtain a fused feature map, and obtains a migration image based on the fused feature map. The domain difference between the generated migration image and the real image is reduced, and the authenticity of the generated migration image is improved.

The invention discloses a convergent parachute and a flight device, and relates to the technical field of parachutes, the convergent parachute comprises a supporting piece, a canopy and a retracting and releasing assembly, the center of the canopy is connected with one end of the supporting piece, the retracting and releasing assembly comprises a main rope and a plurality of branch ropes, the main rope is slidably arranged on the supporting piece, one end of the main rope is connected to one ends of the branch ropes, and the other end of the main rope is connected to the other end of the branch ropes. The other ends of the branch ropes are connected around the peripheral side of the canopy, and the branch ropes can pull the canopy to be folded and unfolded when the main rope slides back and forth relative to the supporting piece. The convergent parachute can be installed in a parachute cabin of the aircraft, when the aircraft needs to land, the main rope can be controlled to slide away from the parachute canopy relative to the supporting piece so as to pull the branch ropes to be folded, the branch ropes pull the parachute canopy to be folded to a small wind receiving area, at the moment, due to the fact that the parachute is not completely unfolded, the borne air resistance is small, and the parachute can not fall off. The joint of the parachute and the aircraft bears small acting force and is not prone to being snapped.

The application discloses a method for designing and controlling relative motion configuration of spacecraft formation in the Earth-Moon libration point orbit, and belongs to the technical field of spacecraft orbit dynamics and control. The method firstly constructs a double-level dynamics model composed of a circular restricted three-body problem model and a high-precision ephemeris model, and defines the orbit amplitude difference and phase difference as configuration parameters; then, according to different combinations of the orbit amplitude difference and phase difference, three types of natural relative motion configurations are set, periodic orbits are quickly generated under the circular restricted three-body problem model, and multiple turns are corrected by using the high-precision ephemeris model and two-stage multiple shooting; for the controlled tasks of fixed position, plane and space encirclement, a hierarchical constraint model is established, and a two-stage optimization strategy is adopted to solve the control pulse. The application realizes efficient design and stable control of the formation configuration in a complex dynamics environment, and is suitable for various libration point orbit tasks.

The present invention discloses a method for controlling the take-off and landing of an unmanned aerial vehicle, a helipad, an unmanned aerial vehicle and a system, comprising: receiving a landing request sent by each unmanned aerial vehicle through a first receiver to obtain a plurality of first landing requests; generating a plurality of first landing signals according to each of the first landing requests and preset helipad information; performing weighted calculation on the first landing signals according to the first landing signals and the first landing requests corresponding to the first landing signals to obtain a landing plan corresponding to each unmanned aerial vehicle; and sending each of the landing plans to the corresponding unmanned aerial vehicle through a base station to improve the control efficiency of the unmanned aerial vehicle.

The application discloses a kind of based on activated sludge heterotrophic bacteria cultivation and sulfur autotrophic directional domestication bacterial agent and wastewater treatment method, the bacterial agent mainly with municipal wastewater treatment plant surplus activated sludge as raw material, first through heterotrophic bacteria cultivation to improve sludge activity and biomass, then under the synergistic effect of elemental sulfur, sodium bicarbonate and nitrate, sulfur autotrophic denitrification directional domestication is carried out, and efficient, stable, impact-resistant composite denitrification bacterial population is formed;The mature bacterial population after separation, purification, mixed expansion is made into bacterial agent, directly added to actual wastewater treatment project, to realize the depth denitrification of wastewater.The application does not depend on single strain, does not use expensive reagent, completely from ordinary activated sludge, using two-stage precise domestication process, retains the natural synergy of bacterial population, has the advantages of fast start, low cost, salt and low temperature tolerance, without additional carbon source, stable operation, etc., can significantly improve the denitrification efficiency and stability of wastewater treatment system.

The present invention discloses a method for autonomous tracking and landing of a dynamic platform UAV based on vision, which relates to the field of autonomous landing technology of UAV, and aims to solve the problem of large positioning deviation and low landing accuracy caused by nonlinear motion and excessive interference in the dynamic situation of non-uniform linear motion of the landing platform. The key points of the technical solution are to use AprilTag as a landing mark, detect and locate the landing platform through vision, and obtain the coordinates of the landing platform in the body coordinate system through coordinate conversion. The relative speed of the landing platform is estimated using the coordinates of the two moments before and after, and the abnormal speed data caused by the detection error is eliminated by the local weighted K nearest neighbor algorithm. The observed data is used as the input of the attenuated memory volume Kalman filter for trajectory prediction, and the UAV is controlled to track the landing platform. In addition, during the landing process, the height of the UAV is adaptively estimated in real time by integrating the camera, laser rangefinder and the barometer data of the UAV, and the rotor is stopped in time within the landing height, and the electromagnet is turned on to adsorb the landing platform to prevent the UAV from falling from the landing platform and being damaged. This method performs well in velocity estimation, trajectory prediction and landing accuracy. The average error of trajectory prediction is 28% higher than that of the standard volumetric Kalman filter method, and the average landing deviation can be controlled within 12 cm.

The application provides a kind of unmanned aerial vehicle landing control method and device, it is related to unmanned aerial vehicle technical field.The unmanned aerial vehicle landing control method includes: the video stream information including nested positioning label and direction positioning label is input into neural network model, obtains the output value including first center point coordinate value, second center point coordinate value, third center point coordinate value, the width pixel value of nested positioning label and the height pixel value of nested positioning label, determines the angle between unmanned aerial vehicle and landing landmark and actual displacement difference by these output values, generates the control instruction of unmanned aerial vehicle according to the height of unmanned aerial vehicle, angle and actual displacement difference, controls unmanned aerial vehicle landing.The technical scheme of the application only needs to input video stream information into neural network model to obtain output value, the number of output value is less, the time for determining angle and actual displacement difference by less output value is shorter, so that the time for controlling unmanned aerial vehicle landing is shorter, and the efficiency of controlling unmanned aerial vehicle landing is improved.

The application discloses a password usability evaluation method and device, equipment, a storage medium and a product, relates to the field of information security technology, and discloses a password usability evaluation method, which comprises the following steps: determining whether a to-be-tested password meets the use demand in a current use scene, independently evaluating the to-be-tested password meeting the use demand, and obtaining an independence evaluation result; determining a use usability evaluation result of the to-be-tested password based on the operation simplicity of a participant involved in a use auxiliary stage of the to-be-tested password and the performance compliance of the to-be-tested password in an official use stage; and comprehensively determining a password usability evaluation result of the to-be-tested password by combining the independence evaluation result and the use usability evaluation result. The application realizes the evaluation of the password usability.

The invention discloses an ecological compensation method and system for cross-basin water diversion, equipment and a storage medium, and belongs to the field of water conservancy and hydropower. According to the method, benefit related parties such as a water receiving party, upstream and downstream parties and the like are clarified through a market mechanism, water resource changes under multiple working conditions are accurately simulated by means of a water circulation physical model and natural laws, and the problem of data and quantization deviation is solved by combining objective data to quantify profit and loss of each party; the cooperation income and the compensation amount of different cooperation combinations are analyzed through the Shapley value, manual intervention is reduced, and the calculation efficiency of a complex scene is improved; and the cooperation income and the compensation amount are fed back and adjusted through water price regulation and control, and finally the ecological compensation scheme is determined through income verification, so that objective, high-landing-efficiency and accurate-quantification ecological compensation scheme determination is realized.

The application discloses a camera auxiliary point arrangement method and system for intelligent patrol of a transformer substation, and comprises the following steps: acquiring and preprocessing multi-source heterogeneous three-dimensional data, constructing a camera point arrangement multi-objective optimization model, selecting an intelligent optimization algorithm to solve an initial point arrangement scheme, and performing three-dimensional visual interactive adjustment, real-time checking and outputting standardized engineering results. According to the power grid technical specification, the application sets constraint conditions, and all installation parameters meet engineering requirements, so that safety hazards are avoided. Through three-dimensional data fusion and space index construction, the iteration efficiency of the intelligent optimization algorithm is optimized. Through the construction of the multi-objective optimization model, the intelligent optimization algorithm and the fitness function, the precise control of the point arrangement parameters is realized, the scene adaptation capability is improved, the equipment procurement and construction cost is reduced by 15%-25%, the point arrangement period is shortened by at least 60%, the single point position query time is less than or equal to 50 ms, and the solving time is less than or equal to 5 minutes.

The present invention relates to the technical field of unmanned aerial vehicle control. The present invention discloses a method and system for controlling the landing of an unmanned aerial vehicle based on visual recognition, comprising: screening out a target forced landing ground area, controlling the unmanned aerial vehicle to travel to and hover over the target forced landing ground area, and collecting the hovering position and a first overhead image of the unmanned aerial vehicle; obtaining the hovering height, and obtaining the vertical distance of all obstacles, and obtaining the height data according to the vertical distance and the hovering height; obtaining a preset second safe forced landing speed, inputting the height data and the second safe forced landing speed into a pre-built speed prediction model to obtain the first safe forced landing speed of the unmanned aerial vehicle; judging whether the unmanned aerial vehicle has left the target forced landing ground area according to the first overhead image and the second overhead image; controlling the unmanned aerial vehicle to land smoothly from an updated position to the ground according to the second safe forced landing speed; or controlling the unmanned aerial vehicle to land smoothly from an adjusted position to the ground; the present invention can achieve rapid and safe landing.

The invention relates to an unmanned aerial vehicle landing control method and system and a related device. The method comprises the following steps: determining attitude information of an unmanned aerial vehicle after landing; and based on the attitude deviation corresponding to the attitude information, controlling the unmanned aerial vehicle to return to the center, or controlling the unmanned aerial vehicle to land again. According to the method, after the unmanned aerial vehicle lands, the camera on the platform shoots the high-definition image, the attitude deviation of the unmanned aerial vehicle is determined, and the attitude of the unmanned aerial vehicle is judged without frequently operating a centering mechanism by automatically triggering a re-flight program, so that the loss of the centering mechanism to the unmanned aerial vehicle is reduced, and the landing efficiency of the unmanned aerial vehicle is improved.