53 results about "Energy gradient" patented technology

The invention relates to the technical field of vehicle trajectory analysis, in particular to a vehicle trajectory anomaly detection method and system based on deep learning, and the method comprises the following steps: obtaining trajectory coordinates and boundary distance to generate symbol offset, constructing a road offset continuous field through interpolation and spatial embedding, calculating the ratio of instantaneous speed to reference speed, and obtaining a vehicle trajectory anomaly detection result. And generating an unbalance degree parameter, executing vector dimension stretching, extracting a trajectory embedding vector and an abnormal score by using a long short-term memory network, executing square summation and difference operation, and generating a trajectory energy gradient value. According to the method, migration characteristics are mapped to a continuous field to achieve track and road geometric constraint association, unbalance degree parameters are used for remarking directional quantity scales to enhance speed dynamic perception, energy gradient modulation scoring is cooperated, a confidence probability curved surface is constructed by using trilinear interpolation, and a curved surface peak value is positioned to output a detection result. Positioning noise is suppressed; and abnormal precision under sparse sampling is improved.

The invention relates to the technical field of concrete detection, in particular to a concrete structure crack damage evaluation system based on acoustic emission sensing, which comprises a signal acquisition module, a characteristic discrete evolution module, a probability inference module, an energy gradient analysis module and a boundary defining module. According to the method, a multi-dimensional evolution set is constructed by extracting the amplitude and energy standard deviation of an acoustic emission signal in a continuous time window, the synchronous change trend of the multi-parameter standard deviation is analyzed by using a Bayesian probability model, and the non-uniform expansion posterior probability is calculated to lock a key signal set of dominant damage expansion. An energy fluctuation coefficient is calculated and a space sequence is generated by combining sensor space coordinates, and a fluctuation coefficient stable interval is identified according to a gradient attenuation rule of energy along with a distance, so that a physical boundary of a crack damage dynamic active region is quantitatively defined, and accurate evaluation of a non-uniform expansion state and an active range of a concrete crack is realized.

The invention relates to the technical field of crack detection, in particular to a porcelain insulator micro-crack infrared spectrum detection method and device capable of accurately sounding, and the method comprises the following steps: obtaining a temperature change rate sequence, screening a stable interval, establishing a thermal radiation synchronous identifier, generating a time index set, carrying out energy registration mapping based on the index set to form a registration structure body, and carrying out infrared spectrum detection on the registration structure body; analyzing the energy gradient to identify the crack boundary to generate a three-dimensional coordinate set, and reconstructing voxel to analyze the crack morphology to generate a three-dimensional mapping set. According to the method, a crack voxel structure in a three-dimensional space is constructed by constructing an infrared acquisition time index, screening a radiation state stable section, combining multi-channel energy peak-valley comparison and space coordinate mapping and by means of an energy gradient distribution analysis and space clustering recognition mechanism; the synchronous and accurate acquisition of key characteristics such as crack position, shape, direction and depth is realized, and the comprehensive capability of spatial positioning, depth identification and crack penetration trend discrimination of the porcelain insulator microcrack is obviously improved.

The invention relates to a laser therapeutic instrument, a laser therapeutic instrument operation control device and a storage medium. The laser therapeutic instrument comprises a processor and a memory. Wherein the memory is used for storing computer programs; the processor executes the following steps when running a computer program: acquiring static characteristics and dynamic characteristics of a target object; based on the static features and the dynamic features, combining a tissue characteristic map and a prediction model to obtain a change trend prediction result of the target object; the tissue characteristic map comprises static characteristic reference values of different tissue types / skin types and a historical change rule curve of dynamic characteristics along with time; the prediction model is obtained based on constitutive equation training of the target object; on the basis of the variation trend prediction result, working parameters during operation on each region of the target object are determined in combination with an energy gradient distribution algorithm; and on the basis of the working parameters, real-time parameters of corresponding components in the laser therapeutic instrument are adjusted, and treatment of the target object is completed. Therefore, the accuracy and the stability of treatment are improved.

The application provides a manufacturing method of glass direct copper clad circuit, relates to the technical field of microelectronic circuit manufacturing, and comprises the following steps: S01, copper foil surface planarization: the copper foil is adhered to a UV photosensitive adhesive film, and the surface of the adhered copper foil is ground; after the surface of the copper foil is ground to reach a target roughness, the copper foil is cleaned and dried; S02, laminated static pressure: a glass substrate, the UV photosensitive adhesive film with the adhered copper foil and a carrier plate are sequentially laminated and fixed, vacuum is drawn and sealed, static pressure is applied to the formed sealed body, and a structure to be welded is obtained; and S03, laser selective welding: an ultrashort pulse laser and a short pulse are combined, and multiple compound scans are performed by using an energy gradient, so that the problem that an interface gap cannot be effectively reduced and the interface is easy to be ablated when a laser is used for welding to manufacture a glass copper clad circuit is solved, and the interface fusion capacity between the copper foil and the glass is improved.

The present application relates to the field of power system control and power electronic energy storage technology, in particular to a generator set transient power compensation system and method thereof, the method comprising: collecting stator voltage, stator current, rotor angular velocity, power angle and DC bus voltage, and mapping into a generalized state vector; constructing a port-controlled Hamilton system model containing an initial interconnection matrix and an initial damping matrix based on preset physical parameters and obtaining a Hamilton energy function; taking partial derivative of the Hamilton energy function with respect to the generalized state vector, calculating an energy gradient vector, dynamically reconstructing a virtual interconnection matrix and a virtual damping matrix, analyzing control input and converting into a duty cycle command to send to an energy storage converter to perform transient power compensation; the system comprises a data acquisition module, a Hamilton energy controller and an energy storage converter; faster transient recovery, lower mechanical stress and more stable closed-loop response can be achieved.

The invention relates to the technical field of computational chemistry and drug screening, and discloses a fluorinated derivative screening method based on computer-aided design, which comprises the following steps: acquiring an initial binding conformation of fluorine-containing molecules and a target system, and constructing a follow-up local orthogonal coordinate system by taking the axial direction of a fluorocarbon bond as a reference; projection coordinates of the environmental particles relative to the fluorocarbon bonds are calculated and mapped as a spherical coordinate index, a preset anisotropic potential energy surface grid is called, and a potential energy value is calculated through interpolation; the method comprises the following steps: generating an anisotropic correction term, monitoring the modulus length of the energy gradient in real time, and when the modulus length of the energy gradient exceeds a sensitive threshold value, adaptively and nonlinearly reducing a sampling step length and executing high-frequency local sampling in a sensitive area. The problem of false negative activity prediction caused by insufficient sampling when a traditional equal-step algorithm is used for processing anisotropic distribution of fluorine atom electron clouds is solved, and the recognition precision and screening efficiency for weak directional interaction such as halogen bonds are improved.

The invention discloses a KRAS protein conformation change simulation method and system based on multi-sample analysis, and belongs to the technical field of multi-sample analysis. The method comprises the following steps: collecting multi-sample molecular dynamics simulation data, calculating energy difference between conformations, and constructing an energy difference mapping matrix; then, based on a joint criterion of an energy difference mean value and an energy gradient change rate, a hierarchical clustering algorithm is adopted to divide a conformation energy space into a main steady-state region, a metastable-state region and a transition-state region, and a conformation hierarchical tree structure is formed; and extracting a key channel and a stable sub-state of conformation transformation according to the relationship between the energy fluctuation characteristics and transformation paths of various intervals, thereby realizing quantitative description and energy path identification of the KRAS protein conformation change. According to the method, dynamic conformation relations under different energy levels are effectively distinguished, a new calculation and analysis means is provided for conformation regulation and control and drug binding site recognition of a complex biomolecular system, and the method has the advantages of being high in accuracy, high in universality and good in expandability.

The invention relates to the technical field of bolt manufacturing, in particular to a high-temperature alloy bolt warm upsetting-rolling process parameter collaborative detection optimization method. According to the method, the energy dissipation data is obtained by calculating the difference value between energy input and heat accumulation in the warm upsetting stage, the rolling starting torque reference is determined through the dissipation rate, direct constraint of the warm upsetting heating power state on the rolling initial load is established, the problem of cross-process parameter splitting is solved, and meanwhile, the energy dissipation rate is improved. The energy density evolution trend of a rolling shaping area is deeply analyzed, forming, stabilizing and attenuation stages are divided, response intervals of errors of energy gradient, torque, linear speed and the like are constructed, load characteristics in the material deformation process are accurately mastered, and finally, energy characteristics of warm upsetting and rolling are fused and input into a support vector machine model, so that the material deformation precision is improved. According to the method, key quality indexes such as the pitch diameter, the thread angle and the hardness of a thread are predicted, rolling parameters such as driving current and preloading force are reversely corrected according to prediction deviation, and closed-loop dynamic control over the forming quality is achieved.

According to the gallium nitride-based semiconductor laser with the gradually-changed polarized optical phonon energy waveguide layer, a fitting curve of In ion strength distribution or In atom concentration distribution of an upper waveguide layer and a lower waveguide layer is tested through SIMS, and a fitting curve of polarized optical phonon energy distribution meets any function distribution of Log3P1, Lop2P2 and Biphase. The spatial continuous regulation and control of the phonon energy of the optical field are realized, so that the LO phonon energy is continuously and gradually changed along the propagation direction, the phonon energy gradient is formed, the LO phonon scattering is improved, the inelastic scattering and energy relaxation of carriers and LO phonons are inhibited, the carrier transportation and phonon scattering are optimized, the service life of the carriers and the gain retention time are prolonged, and the optical field performance is improved. According to the invention, the threshold current density is reduced, the thermal stability of the laser is improved, the use power and the use temperature of the laser are improved, meanwhile, the phonon energy valley value is matched with the quantum well gain peak, the scattering loss is inhibited, additional scattering caused by phonon energy mutation is avoided, the light field limitation is enhanced, and the slope efficiency is improved.

The utility model provides a kind of for daily ceramic impact resistance testing device, belong to daily ceramic article testing device technical field. Including: worktop;Sample holder for being arranged on worktop, the bottom, edge or handle for fixing ceramic sample;And impact regulator arranged on worktop, the impact regulator includes height-adjustable support frame and steel ball support rod, support rod is movably arranged on support frame, and support rod end is equipped with detachable steel ball, steel ball is located sample holder side.The utility model device structure is simple, easy to operate, and realizes ceramic handle impact resistance test;Steel ball impact has no swing error, avoids secondary damage;Energy gradient covers daily ceramic actual use scene.

The utility model discloses a differential pressure power generation and ejector combined energy gradient configuration system, which is characterized in that the front end of a first steam path is communicated with a pre-configuration steam source, a first pipeline valve is arranged on the first steam path, a differential pressure power generation device is connected behind the first pipeline valve, and a post-configuration steam source outlet of the differential pressure power generation device is led to steam utilization equipment; the front end of the second steam path is communicated with a pre-configuration steam source, a second pipeline valve is arranged on the second steam path, a first steam ejector is connected behind the second pipeline valve, and a post-configuration steam source outlet of the first steam ejector is led to steam utilization equipment; and a branch communicated with the first steam ejector is arranged on a pipeline between the configured steam source outlet of the first steam path and the steam using equipment. Under the condition that a new steam source is not introduced, various steam sources are formed through differential pressure power generation and application of the steam ejector, the new steam source presents different gradients, and the problem of energy waste caused by lack of gradient means for a simple or single steam source is solved.

A method for multifocal energy gradient laser holographic cutting of hard and brittle materials includes the following steps: S1, determining the parameters of the incident beam and the high numerical aperture focusing objective; S2, determining the three-dimensional multifocal beam and parameters of the target hard and brittle material; S3, setting a two-dimensional linear phase distribution on the spatial light modulator plane as the initial phase for subsequent iterative calculations; S4, establishing a forward-backward propagation iterative loop based on phase optimization to calculate the multifocal holographic phase distribution; S5, superimposing a linear blazed grating phase on the multifocal holographic phase distribution, and generating a composite diffraction phase hologram using MATLAB code and inputting it into the spatial light modulator; achieving uniform holographic cutting with consistent actual absorbed energy in each layer. This invention features controllable three-dimensional focal positions, adjustable energy gradients along the depth direction at each focal point, strong deep-layer energy compensation capability, simultaneous aberration correction, and high consistency in cutting at different depths.

The application provides a kind of laser repair system and method for annulus fibrosus injury based on gradient light spot and alternate pulse, belong to biomedical laser technology field, including: gradient light spot generation module is configured to generate annular light spot with energy gradient;Alternate pulse module is configured to generate and output alternate short pulse laser and long pulse laser;Minimally invasive operation integrated unit, its inside integrated gradient light spot generation module and alternate pulse module, and be configured to adapt minimally invasive operation scene;Gradient light spot generation module and alternate pulse module cooperate to realize laser repair to annulus fibrosus injury.The application realizes the layered accurate repair of annulus fibrosus injury by the synergistic effect of gradient light spot generation module, alternate pulse module and minimally invasive operation integrated unit, avoids tissue thermal injury while improving repair effect, and adapts minimally invasive operation scene.

The invention relates to the technical field of radio orientation, and discloses a radio orientation method for enhancing machine-nest collaboration, which comprises the following steps: a machine-nest main control unit acquires an environment reference signal and generates a dynamic normalized correction factor; receiving spectrum data returned by the first mobile detection unit along the initial linear trajectory, and constructing an energy gradient distribution model after correction factor calibration; gradient information entropy is calculated, a fuzzy ridge region is identified, and an orthogonal blind compensation path is generated based on a space normal vector of the region; scheduling a second mobile detection unit to collect data along the blind compensation path and fuse the data to the model; according to the method, gradient ambiguity caused by a single linear track is avoided through an orthogonal space sampling mechanism driven by gradient entropy, and rapid and deterministic convergence of the position of the radiation source is achieved.

The application discloses a kind of rail transit along line vibration isolation barrier design optimization method, specifically related to rail transit vibration control technical field;Stratum impedance parameter set is constructed along line;On this basis, track-stratum coupling vibration propagation model is established, the vibration propagation process under the action of train excitation is simulated, and vibration energy distribution matrix is obtained;The vibration energy gradient change rate is calculated to construct the channel characteristic parameter set;According to the channel characteristic parameter, the vibration isolation barrier candidate structure set intersected with abnormal energy channel is generated, and the vibration attenuation efficiency of each candidate structure is calculated by vibration propagation simulation;Combined with vibration energy information entropy, a comprehensive evaluation index is constructed to determine the optimal vibration isolation barrier structure parameter combination;The application can accurately identify the vibration abnormal propagation path and realize the optimization design of vibration isolation barrier structure parameters, improve the isolation effect and engineering applicability.

This invention discloses an AI-based server hardware fault prediction system, relating to the fields of artificial intelligence and server operation and maintenance. It constructs a multi-dimensional energy spectrum feature matrix containing frequency domain energy density distribution, generates a degradation spatiotemporal coordinate system and node topology graph, obtains a set of correlation locking probabilities by calculating the energy gradient between nodes, performs folding fitting on the feature matrix to construct a micro-degradation field mapping function, generates a Lévy morphological degradation evolution curve, further calculates the fault energy convergence rate, and combines the correlation locking probabilities to form a fault risk heatmap. By extracting features from abnormal gradient regions in the risk heatmap, a micro-degradation early warning sequence is obtained, fault prediction coordinates are generated, and a comprehensive risk score is calculated to output the server hardware risk level. This invention enables early identification of hardware micro-degradation, energy accumulation trends, and abrupt changes, improving the accuracy and foresight of fault prediction and ensuring the stable operation of data centers.

The application discloses a BIM model and construction progress, cost data heterogeneous fusion modeling method and system, relates to the building information model technical field, and the heterogeneous fusion modeling method comprises the following steps: analyzing a BIM source model, a construction progress plan and a cost list, extracting geometric, time sequence and cost characteristic vectors, and mapping to a unified characteristic space to generate characteristic points; a coupling degree tensor field containing time, space and cost coupling factors is constructed based on the characteristic points; under the constraint of the coupling degree tensor field, the total energy functional containing geometric deformation energy, progress deviation energy and cost potential energy is minimized, and an initial fusion model is generated; the coupling degree tensor field is updated in real time by accessing Internet of Things data and a cost index, and self-reconstruction is triggered when the energy gradient exceeds a threshold value, so that associated attributes are automatically adjusted. The application realizes deep intrinsic fusion of geometry, progress and cost, has dynamic self-adapting and intelligent early warning capabilities, and can be applied to whole life cycle management of building engineering.

The invention discloses a new energy automobile energy recovery optimization system and optimization method, and aims to solve the problems of single energy recovery scene, low efficiency and difficulty in considering safety and experience in the prior art. The system comprises a double-source recovery module, a multi-dimensional perception decision module, a thermal-electric energy collaborative distribution module and a redundancy safety module, and the double-source recovery module integrates a pneumatic suspension vibration recovery unit and a decoupling type braking energy recovery unit to achieve double-source energy collaborative recovery. According to the method, multi-working-condition self-adaptive control, energy gradient utilization and calibration optimization strategies are adopted, and driver behaviors are combined for adaptive adjustment. According to the method, the limitation of single recovery is broken through, safety is guaranteed through thermal-electric collaborative optimization of the battery state and triple redundancy design, the energy utilization efficiency and endurance are improved, the method is suitable for multiple vehicle types and multiple working conditions, and good practicability and industrialization prospects are achieved.

The invention discloses an electrolyte fire sensitivity experiment method, and relates to the technical field of fire protection, and the method comprises the steps: setting a plurality of ignition sources according to the concentration data of a gas-liquid mixture, carrying out the ignition according to the energy gradient from low to high, and generating the minimum ignitable energy and the ignition source parameter data; carrying out an ignition experiment on the minimum ignitable energy and the ignition source parameter data, recording flame propagation speed, ignition delay and combustion duration, and generating combustion process time sequence data; arranging and analyzing the time sequence data of the combustion process, calculating a fire sensitivity index, and repeating experiments under the conditions of different cavity temperatures, ventilation speeds, electrolyte volumes and ignition source types to generate multi-condition fire sensitivity data; and sorting and analyzing the multi-condition fire sensitivity data to generate a fire sensitivity evaluation result. The method provides a scientific decision basis for safety assessment and electrolyte design.

To provide a ferromagnetic memory device operating at a multi-level, a method of manufacturing the same, and a semiconductor device including the ferromagnetic memory device.SOLUTION: The ferromagnetic memory device of the present invention comprises a memory cell, wherein the memory cell comprises a magnetic free layer comprising a magnetic material layer, wherein the magnetic free layer comprises a magnetic anisotropy energy gradient induced inside the magnetic material layer by plasma ion irradiation.SELECTED DRAWING: Figure 2

The invention discloses an AI-based server hardware fault prediction system, which relates to the field of artificial intelligence and server operation and maintenance, constructs a multi-dimensional energy spectrum characteristic matrix containing frequency domain energy density distribution, generates a degradation space-time coordinate system and a node topological graph, obtains an association locking probability set by calculating energy gradients among nodes, and obtains an association locking probability set; performing folding fitting on the feature matrix, constructing a micro-degradation field mapping function, generating a Levy form degradation evolution curve, further calculating a fault energy convergence rate, and forming a fault risk thermodynamic diagram in combination with an association locking probability; extracting features of an abnormal gradient region in the risk thermodynamic diagram to obtain a micro-degradation early warning sequence, generating a fault prediction coordinate, calculating a comprehensive risk score, and outputting a server hardware risk level; according to the method, the hardware micro-degradation, the energy gathering trend and the abrupt change behavior can be recognized in advance, the accuracy and the foresight of fault prediction are improved, and stable operation of the data center is guaranteed.

The invention discloses a distributed multi-energy transaction method and system based on a block chain and an ORC system, and relates to the technical field of energy transaction, and the method comprises the following steps: each producer node generates a comprehensive energy transaction quotation according to the energy state of a local node and an ORC system dynamic model, and submits the comprehensive energy transaction quotation to a transaction smart contract; the transaction smart contract calculates and matches all received transaction quotations based on a preset privacy protection matching algorithm, and determines successful transaction pairs and transaction information thereof; and for the successfully matched transaction, the smart contract automatically executes fund settlement and triggers a corresponding energy delivery process, and at the same time stores transaction key information. According to the invention, the ORC system is integrated, an electricity-heat-gas coupled closed-loop transaction market is established, and the energy gradient utilization rate and the system flexibility are improved.

The application discloses a cost-controlled phased resolution generation and cache reuse system and method applied to the field of computer technology, which firstly performs rapid preliminary screening at a low resolution level, and removes candidate configurations which are obviously unreasonable in physical structure or whose energy significantly deviates from a threshold; then gradually improves the resolution of the configurations, introduces a physical constraint and an energy calculation model, and gradually approaches a high-fidelity simulation result; meanwhile, a structure feature cache mechanism is arranged at each resolution level, intermediate states and energy gradient information of the calculated configurations are standardized stored and indexed, and are called at a higher resolution level for subsequent same or similar configurations, so that repeated calculation is avoided; finally, through a resolution transition determination module, whether to enter a next resolution level or terminate calculation is dynamically decided according to an energy convergence trend of the current configuration, a structure stability index and a calculation resource budget, so that an optimal balance between physical rationality and calculation efficiency is realized in a global range.

The present application relates to the technical field of concrete detection, in particular to a concrete structure crack damage evaluation system based on acoustic emission sensing, which comprises a signal acquisition module, a feature discrete evolution module, a probability inference module, an energy gradient analysis module and a boundary definition module.In the present application, a multi-dimensional evolution set is constructed by extracting the amplitude and energy standard deviation of acoustic emission signals within a continuous time window, the synchronous change trend of the multi-parameter standard deviation is analyzed using a Bayesian probability model, the non-uniformly expanded posterior probability is calculated to lock the key signal set of the dominant damage expansion, the energy fluctuation coefficient is calculated in combination with the spatial coordinates of the sensor and a spatial sequence is generated, the stable interval of the fluctuation coefficient is identified according to the gradient attenuation law of energy with distance, thereby quantitatively defining the physical boundary of the dynamically active area of crack damage, and the non-uniform expansion state and active range of the concrete crack are accurately evaluated.

The application discloses a kind of air rail ground integration underground facilities stiff column embedded construction methods, it is related to underground deep foundation pit engineering technical field, including the following steps: obtaining the surface point cloud data of stiff column, and remapping generates stiff column feature point cloud;Stiff column is suspended and implanted pile hole and grouting;Stiff column stress distribution field is constructed, and initial stress point cloud is generated in combination with stiff column feature point cloud;Based on grouting pressure field, variation iteration corrects initial stress point cloud, and obtains stiff column stress point cloud, the variation iteration includes eliminating the fluid-solid coupling physical residual term based on energy gradient construction;Stiff column feature point cloud and stiff column stress point cloud are compared, and the pose deviation of stiff column is obtained, and according to the deviation difference, multi-channel grouting rate is regulated and controlled, until stiff column embedding is embedded.The application is used to solve the rectification optimization problem of stiff column embedding process.

The invention relates to the technical field of deformation measurement, in particular to a foundation pile deformation measuring device and method. The method comprises the following steps: acquiring a corrected ultrasonic signal; decomposing the corrected ultrasonic signal into an IMF component, and determining a first characteristic value based on the similarity between the IMF component and the corrected ultrasonic signal and the envelope entropy of the IMF component; the energy concentration ratio is obtained through the frequency energy difference between the effective bandwidth and the overall signal; converting the IMF component to construct an energy gradient sequence, further obtaining an energy gradient feature, and obtaining a second feature value by combining the IMF component and the energy concentration difference of the corrected ultrasonic signal; calculating the variance contribution rate of the corrected ultrasonic signal, and screening useful signal IMF components in combination with the first characteristic value and the second characteristic value; and performing signal reconstruction through the useful IMF component to complete foundation pile deformation measurement. The foundation pile deformation measurement accuracy is effectively improved.

This application relates to the field of kitchen fume purification, specifically disclosing a fume purification control method and system with adaptive electric field adjustment function. The method constructs a closed-loop control logic encompassing multi-dimensional signal acquisition, dynamic reference impedance modeling, spatiotemporal decoupling identification of load characteristics, ozone suppression-oriented adaptive frequency conversion pulse modulation, flashover avoidance based on energy gradient downregulation, and health diagnosis and early warning. By sensing the operating conditions in real time and intelligently adjusting the frequency, duty cycle, and voltage of the high-voltage pulse, this method collaboratively optimizes purification efficiency, ozone suppression, operational reliability, and service life throughout the entire equipment lifecycle. The system consists of a signal acquisition module, a main control module, a high-voltage power supply module, and a human-machine interaction early warning module, which work together to execute the aforementioned control method. This invention achieves coordinated control of efficient fume purification and low ozone emissions, and implements predictive maintenance based on health vectors, significantly reducing operation and maintenance costs.

The application relates to the technical field of robot intelligent control, and discloses a mechanical arm coffee latte trajectory self-adaptive reasoning method based on a diffusion transformer model, which acquires multi-modal teaching data through a handheld acquisition device, converts the multi-modal teaching data into Lie algebra relative trajectories to train a conditional diffusion transformer. In an online execution stage, a hybrid dynamic model composed of a nominal model and a real-time updated residual neural network is constructed and used for capturing fluid nonlinear characteristics. A dynamic energy function is constructed by using the hybrid model, an energy gradient guide is introduced in a diffusion reverse sampling process, and a smooth trajectory conforming to current physical constraints is generated. Finally, combined with dynamic liquid surface compensation, an optimal moment command is solved through model predictive control to drive the mechanical arm. The application effectively solves the fluid control problem in an unstructured environment and realizes high-precision mechanical arm latte with physical self-adaptive capability.

The invention relates to the technical field of ecological environment monitoring, in particular to a forestry ecosystem health assessment method based on multi-source indexes. The method comprises the following steps: obtaining forest infrared data and forest point cloud data; performing crown energy flux calculation according to the forest infrared data to obtain crown energy flux data; constructing an earth surface roughness model according to the forest region point cloud data to obtain an earth surface roughness model; performing surface energy reflection processing according to the surface roughness model to obtain surface energy reflection data; performing double-domain energy gradient processing according to the crown energy flux data and the earth surface energy reflection data to obtain double-domain energy gradient data; and according to the double-domain energy gradient data, ecological sub-health region identification is carried out to obtain ecological sub-health region data. According to the method, the crown energy flux and the earth surface reflection features are fused, the vertical energy conduction abnormal region in the ecological system is identified, and the space identification capability and the discrimination precision of the forestry ecological sub-health region are improved.