95 results about "Energy gradient" patented technology

The invention relates to the technical field of temperature control, in particular to a mass concrete water cooling water temperature control method and system. The method comprises the following steps: collecting concrete key parameters through a multi-source sensor, constructing a microenvironment model based on information geometry, and generating a thermosensitive characteristic spectrum; forming a distributed thermodynamic model by utilizing a mutual information routing algorithm and heat-fluid-solid coupling analysis, and calculating an optimal cooling strategy; water flow path and flow optimization is realized in combination with fractional order particle swarm optimization; a pump set and a valve are adjusted through fuzzy self-adaptive control; and a potential instability region is identified through the spectrum energy gradient, and risk early warning is triggered. The precision and reliability of mass concrete cooling temperature control are remarkably improved, and intelligent, efficient and safe temperature control adjustment in the whole process is achieved.

The invention relates to the technical field of multi-source data fusion, in particular to a multi-source geological data processing method and system of a three-dimensional geological model.The method comprises the following steps that mountain landform and river valley images are obtained, gray frequency characteristics are extracted, a frequency energy gradient layer is constructed, a frequency continuous response area is screened to generate a structure boundary set, and a structure boundary set is constructed; the method comprises the following steps of: extracting a boundary normal vector by utilizing principal component analysis, identifying boundary sections with consistent directions, estimating a physical property parameter gradient direction, judging an included angle screening blocking region, generating a space attribute limiting layer, carrying out space alignment analysis on an overlapping region vector included angle, updating a boundary label, and generating an available attribute path structure set in three-dimensional geological modeling through a Dijkstra algorithm. According to the method, a conduction model is constructed through frequency domain decomposition and logarithmic transformation enhanced recognition, frequency window analysis noise reduction, principal component extraction vector analysis direction and center difference estimation, dynamic matching is promoted through alignment, a Dijkstra algorithm optimizes a path, and the geological model bedding characterization and conduction simulation precision is improved through cooperation of a multi-dimensional technology.

The invention discloses an intelligent power grid optimization scheduling method based on digital twinning, and relates to the technical field of power grid optimization scheduling, and the method comprises the steps: building a dynamic power grid mirror image model according to a standardized power grid data matrix, and generating an evolution trajectory prediction report through a quantum magnetic coupling mechanism; establishing a variable association network based on the evolution trajectory prediction report, and generating an optimization scheduling instruction set in combination with the standardized data matrix; executing an optimization scheduling instruction set to obtain magnetic potential gradient distribution, and generating a topology reconstruction scheme by identifying a magnetic potential change trend; and inputting the topology reconstruction scheme into the dynamic power grid mirror image model to generate an electromagnetic field evolution trajectory, and generating a safety scheduling report in combination with magnetic potential energy gradient distribution. According to the method, the power grid magnetic field data is coded into an evolution trajectory prediction report through a quantum-magnetic coupling mechanism, and high-precision risk pre-judgment is realized; a topology reconstruction scheme is dynamically generated according to the electromagnetic energy gathering trend, and the power grid optimization scheduling efficiency is improved.

The invention discloses a method and a system for identifying a micro-seismic signal mode of a surrounding rock rockburst risk, particularly relates to the technical field of deep underground engineering rockburst monitoring, and is used for solving the problem that an existing micro-seismic early warning model lags in identifying a rock mass damage evolution critical state. The method comprises the following steps: collecting a surrounding rock micro-seismic event signal in real time, intercepting an event sequence based on a sliding time window, and calculating a space-time fractal dimension; extracting an event space density field in the window to calculate an energy gradient, and marking a strong interaction cluster of which the energy gradient exceeds a threshold value; storing the fractal dimension change sequence in real time; performing characteristic frequency band filtering on the signals in the window, calculating a ratio of an energy ratio entropy descent rate to a fractal dimension descent rate, and determining a damage acceleration state when the ratio is a supercritical coefficient; generating a rockburst high-risk instruction when the strong interaction cluster and the damage acceleration state coexist and the fractal dimension descent rate is supercritical threshold; the multi-dimensional collaborative identification of the rockburst precursor is realized, and the early warning accuracy and timeliness are remarkably improved.

The invention discloses a galvanometer scanning-based curved surface self-adaptive dynamic light spot laser quenching method, which has the following beneficial effects: (1) dynamic regulation and control of a light spot energy field: a traditional uniform light spot is reconstructed into a self-defined light spot with an adjustable energy gradient according to a curvature value of a workpiece, so that the energy of each section of the light spot is dynamically distributed according to the curvature; and the energy density deviation caused by geometric deformation is compensated. And (2) scanning-energy cooperative control: through coupling optimization of a light spot form and a scanning path, galvanometer high-frequency galvanometer micro-swing scanning and laser output energy adjustment are adopted in a curvature sudden change area, so that accurate regulation and control of heat input are realized, a heat accumulation effect is inhibited, and depth uniformity (fluctuation is less than or equal to 10%) of a hardening layer is ensured. And (3) online feedback and closed-loop correction: an infrared thermal imager and a surface topography sensor are integrated, a quenching point temperature field and a hardened layer topography are monitored in real time, a light spot energy ratio and a scanning strategy are dynamically corrected through an AI algorithm, and the dynamic characteristics of material phase change in the machining process are adapted.

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 discloses a building electrical circuit arc fault multi-dimensional detection and positioning method and system. The method comprises the following steps: injecting a low-amplitude broadband excitation signal into a key node of a power distribution loop through an electromagnetic excitation and sensing device, collecting a line response waveform and establishing a steady-state electromagnetic response baseline; performing self-correlation operation and spectral analysis based on the baseline, extracting formant frequency, energy distribution and bandwidth characteristics, and generating an electromagnetic modal characteristic fingerprint; through constructing a time-frequency coupling resonance matrix, formant frequency shift amount and energy gradient change are monitored in real time, and an abnormal resonance state of a line is identified. After abnormality is detected, establishing a spatial positioning equation according to multi-node phase distribution, and determining the position of an arc or a breakdown source by adopting a phase inversion algorithm; calculating a line stability coefficient by combining a positioning result and time sequence resonance data, and predicting an arc risk level; when the risk level exceeds a threshold value, an electromagnetic compensation module is activated, an opposite-phase suppression signal is generated and injected into an abnormal area, and active protection closed-loop control is achieved.

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 discloses a roundness detection device and method for a finished aluminum alloy pipe, and relates to the technical field of pipe detection, and the method comprises the steps: constructing a multi-mode sensing array, calibrating and mapping the array to the axis of the pipe, triggering a constant-speed sliding table, and synchronously collecting a section point cloud and a vibration signal, an attractor feature matrix is generated based on phase-space reconstruction and a coding dictionary, a weighted directed graph is constructed to extract pulse energy distribution so as to accurately position a deviation node, a judgment threshold is adaptively corrected in combination with an energy gradient and connectivity change, and enhancement precision, rapid detection and a steady state tracking mode are dynamically switched. Model parameters are continuously optimized by comparing measured values of the high-precision roundness measuring instrument on line, a quality report containing deviation distribution, grade statistics and unique tracing identification is finally generated, and batch tracing and remote query are supported. Through combination of phase-space reconstruction attractor coding, pulse energy density analysis and dynamic mode switching, efficient identification of tiny deviation, precise positioning and balance between precision and efficiency are realized.

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 application discloses a speech detection method and device, a terminal equipment and a computer readable storage medium. The method comprises the following steps: performing frame processing on an original audio signal to obtain each frame signal; calculating an energy gradient factor of each frame signal, wherein the energy gradient factor is the sum of energy gradients between adjacent two frequency points in each frequency point of the frame signal; determining a target energy gradient factor threshold corresponding to a target frame signal in each frame signal; and determining that the target frame signal is a speech signal when the energy gradient factor of the target frame signal is greater than or equal to the target energy gradient factor threshold. The application provides a speech detection scheme using frequency domain gradient information of a signal as a feature to improve the stability of a VAD algorithm in a noise scene.

The invention discloses a continuous three-mass resonance mixing method, a device and a mixing system, which apply resonance mechanical energy to materials, enable the materials to perform mixing motion under the action of the resonance mechanical energy, simultaneously form ellipse-like mixed material flows macroscopically and microcosmically, realize shearing, diffusion and convection actions among the materials and improve the mixing effect of the materials. And the materials are uniformly mixed on the macroscopic and microcosmic mixing levels. According to the invention, uniform mixing can be realized on macroscopic and microscopic mixing levels, the mixing efficiency is high, and the uniformity is good; the continuous three-mass resonance mixing device is low in structure and investment cost, the vibration mechanism is matched with the concave plates and the convex plates which are alternately arranged in the mixing cavity, energy gradient generated in the mechanical vibration process can be provided to form sound waves, then the sound resonance effect is formed, efficient mixing of materials is achieved, and the continuous three-mass resonance mixing device has good popularization prospects.

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.

The invention provides a welding power source system and method for achieving high-frequency editable pulse current output, and belongs to the field of welding power sources, the welding power source system comprises a TIG welding gun, an oscilloscope and a gas protection device, the TIG welding gun is connected with a high-frequency waveform editing module, the high-frequency waveform editing module is connected with an inductor and an FPGA control panel, the inductor is connected with a multi-output constant current source, and the multi-output constant current source is connected with the oscilloscope. The oscilloscope is connected with the TIG welding gun through a current clamp, and the gas protection device is connected with the TIG welding gun through a gas pipe. According to the welding power supply system and method for achieving high-frequency editable pulse current output, the high-frequency waveform editing module formed by sampling three paths of switching circuits in parallel can provide more waveform selections and more accurate current output on the premise of maintaining stable combustion of an electric arc; a special switch time sequence is matched with synchronous rectification, so that circuit heating can be reduced, the accuracy of current waveforms is improved, heat input can be accurately controlled, arc energy gradient distribution is optimized, and the welding seam quality is improved.

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 provides a multi-field coupling simulation method and system for blasting permeation-increasing in-situ leaching mining of sandstone uranium ore. According to the method, blasting drilling space coordinates, charge density data and ore body in-situ permeability data of a deep sandstone uranium ore are obtained, charge density and permeability are superposed to a three-dimensional space grid, and a blasting energy permeation coupling map is generated. And based on a region with an energy gradient change rate exceeding a threshold value in the atlas, marking the region as a signal target acquisition region, acquiring an elastic wave signal, extracting position coordinates of a fracture event and a vibration energy value from the elastic wave signal, and generating multi-field coupling state data through field coupling association. And the position of a high-permeability channel formed after blasting is further identified, a leaching liquid flow control instruction is generated accordingly, and dynamic regulation and control of a leaching liquid flow path are achieved. According to the technical scheme provided by the invention, the efficiency and precision of multi-field coupling simulation can be improved.

The invention discloses a large-range rock burst disaster classification method and system based on micro-seismic monitoring, and relates to the technical field of coal mine safety, and the method comprises the following steps: collecting multi-source micro-seismic monitoring data of a coal mine working surface, including seismic source energy, seismic source position, event frequency and waveform characteristics, and carrying out the preprocessing of the multi-source micro-seismic monitoring data, constructing a spatio-temporal data cube; and based on the spatio-temporal data cube, performing spatial distribution feature analysis on the micro-seismic events by adopting an improved clustering algorithm, identifying micro-seismic event concentrated areas, and extracting the vibration energy gradient and event density of each area. Through multi-source data fusion and an improved algorithm, a scientific classification matrix is constructed, quantitative judgment standards of fault activation type, stress concentration type and composite type disasters are defined, the defects of traditional single parameter and subjective experience judgment are overcome, the accuracy and scientificity of disaster classification are greatly improved, and a foundation is laid for accurate prevention and control.

The present invention relates to the field of big data technology and discloses a big data-based method for smelting furnace system fault warning. The method comprises: collecting multi-source sensor time series data during smelting furnace operation; extracting the temperature signal gradient feature of the smelting temperature signal and the signal mean feature of the electrode current signal; decomposing the crucible vibration signal into preset frequency bands and calculating the product of the standard deviation of the energy value of each frequency band and the energy ratio of the adjacent frequency bands to generate a frequency domain energy gradient feature vector; generating a multidimensional feature matrix based on the signal mean feature, the temperature signal gradient feature, and the frequency domain energy gradient feature vector; inputting the multidimensional feature matrix into a pre-trained lightweight gradient boosting tree model to output the smelting furnace's fault boundary; and when the fault boundary reaches a preset trigger condition, triggering a warning instruction corresponding to the smelting furnace's graded warning signal, using the warning instruction to issue a fault warning for the smelting furnace. The present invention can improve the accuracy of smelting furnace system fault warnings.

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.

The invention discloses an LNG (Liquefied Natural Gas) cold energy gradient utilization system optimization model considering a peak regulation refrigeration house and a solving method. The model comprises a target function with system operation economic benefit maximization as a target, decision variables covering cold energy power of each module and cold storage charging and discharging power, and multiple types of constraint conditions integrating cold energy supply and demand balance, energy storage operation, gradient utilization and conservation. According to the method, a peak regulation refrigeration house unit module and a cold energy gradient utilization mechanism are innovatively introduced, and an optimization model for efficient and comprehensive utilization of LNG cold energy is established; according to the method, an artificial travel mouse optimization algorithm is adopted for solving, cold energy distribution of power generation, refrigeration and liquefaction modules can be effectively coordinated, a cold storage energy charging and discharging strategy is optimized, the cold energy utilization economy and peak regulation flexibility are remarkably improved on the premise that stable operation of the system is guaranteed, and effective decision support is provided for comprehensive utilization of cold energy of the LNG receiving station.