16results about How to "Easy landing" patented technology

The invention discloses a power coupling-considered capacity ratio estimation method for a network-constructing / network-following multi-machine hybrid system, and the method comprises the steps: building a GFL-GFM hybrid system model, combining VSG power coupling small signal modeling and a dynamic relative gain matrix (DRGA), and quantifying the coupling strength of active / reactive power to output voltage; the frequency domain impedance characteristic of the GFM converter is simplified, and an ideal voltage source series equivalent reactance equivalent model is constructed; deriving an analytical relationship between a generalized short-circuit ratio (gSCR) and a capacity ratio based on the model, and generating a ratio formula in combination with engineering boundary sub-scenes to form a ratio range suitable for multiple scenes; for coupling time-varying characteristics, a closed-loop mechanism of'mixed mode-coupling sensing-correction calculation-execution feedback 'is constructed, and the ratio is dynamically adjusted. According to the method, coupling quantization and multi-machine coordination control are deeply fused, the problem that the external characteristic model precision and the multi-working-condition adaptability are difficult to consider under complex environment coupling is effectively solved, and the engineering applicability of the hybrid fan system is enhanced.

The application discloses a long spiral drilling machine concrete automatic pouring control method and system, the method comprises the following steps: in response to the pipeline filling rate and / or the concrete pressure reaching the preset value, the drill pipe automatic lifting mode is started; according to the feedforward speed and the feedback correction amount generated based on the concrete pressure deviation, the lifting speed is calculated, the winch equipment is controlled to lift the drill pipe according to the lifting speed, and the real-time correction of the lifting speed is carried out in the lifting process; the total lifting length is divided into multiple preset lengths, when the drill pipe is lifted by the preset length each time, the pile filling rate in the preset length range is calculated, if the pile filling rate is lower than the preset filling rate, the underfilling backfilling is carried out, after the backfilling is completed, the drill pipe returns to the original position and continues to lift until the concrete pouring is completed. The pouring process of the concrete is changed from the experience type manual adjustment to the closed loop control based on the pile filling rate and / or the concrete pressure, the underfilling and overfilling phenomena are avoided, and the piling quality is higher and more stable.

The application relates to a carbon / ceramic brake disc with wear resistance improved by silicon-chromium alloy synergistic modification and a preparation method thereof. The carbon / ceramic brake disc is prepared through key steps of preparing a carbon fiber preform, a carbon / carbon composite material, ceramic powder and a carbon / ceramic composite material, and the process is through gradient melting impregnation and segmented heat treatment process, thereby avoiding the composition segregation problem caused by the traditional silicon powder embedding melting impregnation method; the structured laying of the ceramic powder positively superimposes the capillary force in the brake disc and the furnace pressure; the ceramic production efficiency is increased by 30%, and the waste rate is reduced to below 1%. In the structure aspect, the porosity of the brake disc prepared by the application is reduced to 2%-3%; in the material composition aspect, the ceramic phase in the matrix is formed by Si-Cr-C three elements to form crystals, so that the wear resistance of the composite material is increased by three times; the brake disc prepared by the application has excellent wear resistance and friction performance, and is suitable for the aerospace field.

The invention discloses a method and a system for protecting portrait feature data of multilayer space mapping, which are used for scenes such as user portraits / article portraits and the like. According to the method, a three-layer mapping architecture of a scalar input layer (S)-a middle random layer (R)-a target output layer (C) is adopted, and multi-stage irreversible transformation processing is carried out on original scalar data. The method comprises the following steps: firstly, mapping a scalar into an intermediate vector by utilizing a one-way function of cryptography security and combining a secret key and an offset; secondly, distance features of the intermediate vector are extracted, direction features are discarded, and the distance features are converted into two-dimensional space coordinates through a deterministic mapping algorithm; according to the method, the irreversibility of reversely deducing the scalar quantity from the coordinates is ensured by erasing the angle information of the middle layer; the space isolation in different business scenes is realized by introducing the offset; according to the method, a deterministic rejection sampling algorithm based on HMAC is preferably adopted, the problem of center aggregation existing in a traditional mapping method is solved, uniform distribution of coordinates in a set area is achieved, sensitive feature value scalar quantities of all dimensions in portrait feature vectors are mapped into two-dimensional coordinate points, and the two-dimensional coordinate points are aggregated to form an object portrait feature matrix; the method is used for cross-system analysis, clustering, similar retrieval and visual display, and meanwhile plaintext feature value leakage can be avoided.

The present application relates to the technical field of weather forecast, especially a strong convective rainfall short-term forecast method and system based on multi-band radar observation, the method comprising the following steps: obtaining multi-band radar observation data, and performing feature extraction on the multi-band radar observation data to construct a multi-band radar differentiated feature set; performing convective system development stage identification based on the multi-band radar differentiated feature set to obtain a convective evolution stage identification result; dynamically and differentially fusing the multi-band radar differentiated feature set according to the convective evolution stage identification result to generate a multi-band radar fusion feature set; constructing an adaptive short-term forecast model, and inputting the multi-band radar fusion feature set into the adaptive short-term forecast model to output a strong convective rainfall short-term forecast result. The present application supports regional emergency scheduling, and matches the fine and time-sensitive business needs of the short-term warning of strong convective rainfall in coastal urban clusters.

The invention discloses a snowfall inversion method based on a millimeter wave cloud radar and a microwave radiometer, and relates to the technical field of radar snowfall inversion, and the method comprises the following steps: S1, data input: millimeter wave cloud radar data and microwave radiometer data are input; s2, multi-source equipment data space-time dimension matching is carried out; s3, phase state classification of extremely cold particles, and elimination of non-snowfall phase state interference; s4, inverting the snowfall rates of different height layers; s5, the accumulated snowfall of the whole-layer snowfall rate is obtained through time integration; and S6, outputting a result. According to the invention, the complementary advantages of high temporal-spatial resolution of the millimeter wave cloud radar and abundant atmospheric environment parameters of the microwave radiometer are brought into full play, the inherent defect of single equipment inversion is solved, and the precision and reliability of snowfall inversion in the extremely cold environment are greatly improved; and a data support is provided for practical applications such as meteorological monitoring and early warning in extremely cold areas, and prevention and reduction of snowstorm disasters.

The sealing material guiding device comprises a material collecting part and a material guiding part which are connected in sequence, the end, corresponding to the upstream, of the material collecting part is provided with a feeding port, and the end, corresponding to the downstream, of the material guiding part is provided with a discharging port; the discharge port is configured to correspond to the position of the conveying line; the material guiding part comprises a feeding channel and a material crushing assembly movably arranged in the feeding channel. The material crushing assembly can impact large coal in the feeding channel through self movement to crush the large coal into small coal, and the small coal leaves the feeding channel from the window body under the pushing of the material crushing assembly, so that the problem of space blockage caused by the large coal is solved; the effects of cleaning large coal materials and smoothing the conveying line can be achieved, the requirements for equipment parameters such as power of related components of the material crushing assembly can be lowered, therefore, the equipment cost is effectively controlled, the cost lowering effect is remarkable, low cost of overall transformation of the conveying line is achieved, and the technology can be applied and popularized easily.

The invention relates to the technical field of computer vision, and discloses an image forgery detection model interpretability analysis method and system, and the method comprises the steps: extracting the middle layer features of an image forgery detection model to be interpreted, and generating a semantic feature map based on the non-negative matrix decomposition of sparsity constraint; performing feature importance pre-screening on the semantic feature map to obtain an important feature map; for each important feature map, positioning a high activation area and extracting an image block, and analyzing a dominant frequency component and a bandwidth of the image block corresponding to the high activation area; constructing a band elimination filter in the frequency domain of the original image, generating a disturbance image, and endowing each feature with an initial weight based on a decision distance; and performing grouping fusion on the features according to the symbols of the initial weights, and respectively generating final visual saliency evidence graphs which support counterfeiting and reality. According to the invention, through combination of the non-negative matrix factorization and the frequency domain disturbance shielding method, the interpretability of the image forgery detection model can be effectively improved.

This invention discloses an intelligent acceleration-heterogeneous parallel joint scheduling solution method for watershed water conservancy engineering groups, belonging to the field of numerical calculation and intelligent scheduling technology for water conservancy engineering. This method first divides the hydrological control intervals and implements differentiated scheduling optimization that maximizes conventional and remaining flood control capacity for different control sections. It then uses a heterogeneous parallel architecture to split tasks and achieve synchronous computation across multiple nodes, employing the XGBoost algorithm to replace traditional river channel calculation methods. This invention can significantly improve scheduling solution efficiency, overcome computational bottlenecks, ensure computational accuracy, enhance adaptability to complex watersheds, optimize water resource allocation, strengthen flood control, and has low deployment costs and strong compatibility, meeting the needs of real-time watershed scheduling and scientific management.

This invention discloses a multi-source low-oxygen heat pump device for fruits and vegetables and its usage method, belonging to the field of fruit and vegetable drying technology. The device includes a multi-source gas supply system, a low-oxygen drying chamber, a heat pump temperature and humidity control system, an online weighing system, a material morphology detection system, and an intelligent control system. The multi-source gas supply system injects nitrogen, carbon dioxide, and air. The intelligent control system calculates the drying rate and shrinkage rate based on data from various sensors, dynamically adjusting the gas composition and the temperature and humidity inside the chamber to maintain an oxygen concentration of 1-11%, a temperature of 30-70℃, and a relative humidity of 10-40%. This invention enables precise and coordinated control of the fruit and vegetable drying process, mainly used for drying leafy vegetables and fruits, reducing oxidative deterioration and shrinkage, and improving drying quality.

The application relates to a theoretical power generation amount determination method and device, a server and a photovoltaic power generation system. The power generation amount determination method is applied to a photovoltaic power generation system, the photovoltaic power generation system comprises a standard group string and a target group string corresponding to the standard group string in one-to-one mode, the standard group string is a maintained group string, and the target group string is a non-maintained group string. The method comprises the following steps: acquiring first power data of the standard group string in a current period; inputting the first power data into a preset power relationship model, so that the power relationship model outputs corresponding second power data of the target group string in the current period according to the first power data, wherein the mathematical form of the power relationship model is a monomial polynomial regression analysis model; and determining the power generation amount of the corresponding target group string in the current period according to the second power data. The power generation amount of the group string can be accurately determined at low cost.

The invention provides a natural collection device and method for in-situ quantitative analysis of food source composition of benthonic animals in suspended load, and relates to the technical field of ecological monitoring of benthonic organisms. The device comprises a streamline cavity, a built-in water flow speed reducing pipe and a suspended load collecting bin. The water flow speed reducing pipe is of a reducing S-shaped bent pipe structure with the front small and the rear large, a water inlet of the water flow speed reducing pipe is in a horn mouth shape, and a long notch is formed in the bottom in the axial direction. The device is suspended in water through the steel wire rope, water flow naturally flows into the speed reducing pipe, and after the water flow is gradually decelerated through the S-shaped reducing bend, suspended load stably settles through the long notch and enters the collecting bin. The in-situ layered collection of the suspended load is realized in a passive and low-disturbance mode, the problems of sample distortion and missed collection of fine particles caused by large water flow disturbance of a traditional device are effectively solved, the accuracy and reliability of food source analysis are remarkably improved, and the device is suitable for long-term ecological monitoring of different water area environments.

The application provides a UAV landing platform, which comprises a landing platform main body horizontal stabilizing assembly, a lifting assembly and a charging assembly, the horizontal stabilizing assembly comprises a stabilizing mechanism and a limiting mechanism, the stabilizing mechanism comprises a landing platform, a rotating plate, a first motor, a first adjusting block, a second motor, a second adjusting block and a rotating part, the first adjusting block is fixedly connected with the output end of the first motor, the middle part of the lower side of the landing platform is provided with a connecting column, the connecting column is provided with a first rotating shaft and a second rotating shaft, the first adjusting block is arranged outside the connecting column, and the inner sides of the two ends of the first adjusting block are rotationally connected with the first rotating shaft, the outer side of one end of the second adjusting block is fixedly connected with the output end of the second motor, and the other end is rotationally connected with the second rotating shaft.In use, the landing platform can be kept horizontally stable in real time according to the water environment, the UAV can be landed conveniently, the occurrence of accidents such as the overturning and water falling of the UAV is reduced, and the safety of the UAV operation is improved.

The utility model discloses a lifting platform for an unmanned aerial vehicle, and belongs to the technical field of unmanned aerial vehicles, the lifting platform comprises a parking platform height adjusting assembly, the parking platform height adjusting assembly comprises a base, the outer surface of the base is provided with limiting pipes which are annularly arranged, the interior of each limiting pipe is sleeved with a limiting rod, and the limiting rods are connected with the parking platform height adjusting assembly. A supporting plate is jointly installed outside the multiple limiting rods, annularly-arranged dampers are installed on the outer surface of the supporting plate, through cooperation of the dampers, anti-skid pads, springs and inclined rods, impact force generated when the unmanned aerial vehicle lands can be buffered, and the stability of the base is greatly improved; through arrangement of a bearing, a lead screw, a threaded pipe, a connecting rod, a first gear, a servo motor, a second gear, a limiting pipe and a limiting rod, people can conveniently adjust the height of the unmanned aerial vehicle parking platform, the stability of the unmanned aerial vehicle parking platform is greatly improved, and through arrangement of an anti-skid pad, the stability of an unmanned aerial vehicle is greatly improved.

The present application relates to the technical field of building materials, and in particular to a concrete material based on modified coral microcrystalline composite fiber and a preparation method thereof. The concrete material based on modified coral microcrystalline composite fiber comprises cementitious materials, coarse aggregate, fine aggregate, modified coral microcrystalline composite fiber, water reducing agent and mixing water. The modified coral microcrystalline composite fiber is prepared by wet spinning with modified coral microcrystalline and polyvinyl alcohol as raw materials. The modified coral microcrystalline is aragonite type calcium carbonate microcrystalline modified by a silane coupling agent. By adding the modified coral microcrystalline composite fiber to the concrete base material, the industry pain point of traditional fibers that are not toughened and not enhanced in compressive resistance is solved. The 28d splitting tensile strength, bending toughness and compressive strength of the prepared concrete material are simultaneously improved, and a comprehensive breakthrough in the mechanical properties of concrete is achieved.