1490 results about "Water content" patented technology

The invention belongs to the technical field of intelligent agriculture, and discloses a canopy-atmospheric environment information-based soil water content prediction method and system, and the method comprises the steps: setting a canopy and atmospheric environment monitoring unit in a field, and synchronously collecting the canopy temperature, wind speed, relative humidity, and six-dimensional environment parameters of atmospheric temperature, wind speed and relative humidity; the crown temperature difference is calculated after preprocessing; the method comprises the following steps: constructing a training set by utilizing measured data of soil relative water content, constructing a soil water content prediction model by adopting a random forest algorithm, screening and confirming an optimal prediction model through grid search and cross validation, and screening key features by combining an SHAP value; the water demand is automatically calculated according to a pre-established crop whole-growth-period drought stress threshold table and a dynamic irrigation decision formula, and meanwhile, the adaptation of a general model to a regional specific model is realized by constructing an environmental parameter-actually measured water content database and transfer learning, so that the soil water content state is accurately predicted, and the soil quality is improved. And a scientific basis is provided for precise irrigation.

The invention relates to the technical field of slope engineering, in particular to a settlement deformation prediction method and system for a reinforced soil slope building structure. The method comprises the following steps: acquiring a soil body infiltration line position parameter of a reinforced soil slope, an interface friction coefficient of a reinforced material and a soil body, a soil body grain grading curve and environment temperature and humidity duration information, and obtaining initial characteristic data of a slope system state; constructing a heat-force-water multi-field coupling monitoring network in the soil-reinforced material interface area according to the initial characteristic data of the slope system state, and obtaining the interface shear stress, the interface normal strain, the pore water pressure gradient and the temperature gradient of each monitoring point to obtain interface action characteristic data. According to the method, the environment disturbance probability density model based on the temperature fluctuation and the sudden change of the water content is constructed, the influence of a complex environment on the slope stability can be quantitatively described, and the robustness of the model is improved.

The invention relates to an agricultural biomass characteristic intelligent detection method, system and device based on multi-frequency conductance coupling and a medium, and the method comprises the following steps: applying an electric excitation signal to an agricultural biomass sample, and synchronously collecting multi-physics coupling response data; based on the multi-physics field coupling response data, constructing a multi-scale equivalent circuit model comprising a resonance unit, a constant phase unit and a diffusion impedance unit; synchronously optimizing a resonance unit parameter, a constant phase unit parameter and an impedance unit parameter of the multi-scale equivalent circuit model through a Bayesian joint inversion algorithm to obtain an optimal parameter combination; and according to the optimal parameter combination, calculating a preliminary detection result of biomass components containing cellulose crystallinity, lignin crosslinking degree and water content, combining the collected environment temperature and humidity sensing data to implement dynamic compensation, and outputting a final detection result. Therefore, the detection precision, the environment robustness and the operation reliability are synergistically improved in three aspects of hardware design, model construction and algorithm optimization.

The invention provides a seasonal frozen earth region roadbed stability evaluation method, a seasonal frozen earth region roadbed stability evaluation device and a medium, and relates to the technical field of seasonal frozen earth region roadbed stability evaluation. Meanwhile, performing a freeze-thaw cycle experiment in a laboratory, and fitting to obtain a heat conduction coefficient and a moisture diffusion coefficient of the soil sample; inputting field data and experimental parameters into the finite element model, simulating hydrothermal transfer and mechanical behaviors under different seepage and drainage grating arrangement conditions, and analyzing dynamic change rules of a temperature field, a water content field and frost heaving stress; then, a hydrothermal dynamic behavior and rib-soil interface behavior prediction model is trained based on an LSTM network architecture, and hydrothermal changes and mechanical properties of the roadbed under different conditions are predicted; and finally, based on an output result of the prediction model, calculating a roadbed stability index by combining a comprehensive stability evaluation model.

The invention relates to the technical field of smart city operation, and discloses a pressure regulation and loss reduction method based on steam simulation and condensate water analysis, comprising the following steps: step S1, collecting operation parameters of a steam pipe network system; s2, converting the preprocessed operation parameters into scale space parameters; s3, establishing a condensate water source term equation, a heat source term equation and a condensate water generation model to obtain pressure, temperature and condensate water content; s4, solving the optimal pressure adjustment amount and the condensate water adjustment amount by combining the pressure and condensate water coupling matrix, and optimizing the circulation degree; and S5, correcting model parameters in the condensate water source term equation, the heat source term equation and the condensate water generation model based on a comparison result. By coupling and simulating the condensate water source item, the heat source item and the generation model, dynamic distribution of condensate water can be accurately analyzed, and the problems that in the prior art, calculation efficiency and model precision are difficult to balance, and dynamic coupling is lacked are solved.

Methods, apparatus, and storage medium for providing real-time asphalt density and / or moisture content prediction with ground penetrating radar. A method includes using raw data from a ground penetrating radar sensing an asphalt concrete at a location; processing the raw data to obtain processed data; determining an asphalt density of the asphalt concrete at the location based on the processed data according to an asphalt density prediction model; determining a compaction status of the asphalt concrete at the location based on the asphalt density and a target compaction threshold; and outputting the compaction status of the asphalt concrete at the location to an operator for determining whether to continue or stop compacting the asphalt concrete at the location. In another method, moisture content for cold recycling and existing asphalt concrete pavement is predicted in real-time from using raw from data of ground penetrating radar mounted on a vehicle.

The invention discloses a method and a device for testing moisture migration characteristics of frozen soil under low-temperature nuclear magnetic triaxial seepage, and relates to the technical field of frozen soil testing. In order to solve the problems that in the prior art, compatibility control of freezing and seepage cannot be achieved, and whole-process evolution of frozen soil moisture migration characteristics is difficult to dynamically capture, the scheme comprises the following steps that the real confining pressure, axial pressure and seepage speed of the environment where a soil sample is located are simulated; collecting a nuclear magnetic resonance image and an overall and layered T2 spectrum of the soil sample before freezing under the action of seepage; gradually freezing the soil sample based on different temperature gradients, and collecting a nuclear magnetic resonance image and an overall and layered T2 spectrum of the soil sample under the seepage and freezing coupling action in real time; data are collected according to the whole soil sample freezing process, and the evolution law of water migration characteristics in the soil body freezing process is analyzed. According to the invention, the whole-process, visual and nondestructive detection is realized, and the whole-process evolution rule of water migration characteristics such as unfrozen water content and pore cracks in the frozen soil under the seepage and freezing coupling action can be accurately captured.

The present invention belongs to the field of resource utilization of building materials and solid waste, and relates to a red-mud-based cementing material based on efficient drying, component homogenization and activity improvement, and a preparation method therefor. The preparation method comprises: adding a filter aid to red mud to carry out sedimentation, then subjecting same to filter pressing until the water content is 14-16%, then drying the solid material, which has been subjected to filter pressing, until the water content is 4% or below, and finally grinding same to obtain the product. The filter aid comprises the following raw materials: 10-30 parts of polyaluminum chloride, 5-15 parts of polyaluminum sulfate, 1000-1200 parts of blast furnace slag or fly ash, 700-900 parts of steel slag, 400-600 parts of carbide slag or alkaline residues, and 300-400 parts of desulfurized gypsum or phosphogypsum or fluorgypsum. By means of the present invention, the dehydration efficiency of red mud can be improved, the red-mud-based cementing material can also be prepared in one step; the preparation process for the red-mud-based cementing material is simplified; and the prepared red-mud-based cementing material has the advantages of a high mechanical strength, high durability and erosion resistance.

The invention discloses a soil water content inversion method and system based on L-band dual-polarization data and a medium, and belongs to the field of remote sensing technology and environment monitoring. The system comprises an SAR data acquisition module, an optical data processing module, a vegetation scattering separation module, an inversion model construction module, a spatial distribution calculation module and a risk assessment module, wherein the SAR data acquisition module is used for regularly acquiring L-band dual-polarized SAR data of a target area; the optical data processing module assists in identifying and separating vegetation scattering components by calculating vegetation indexes; the vegetation scattering separation module is used for extracting pure soil back scattering signals; the inversion model building module is used for training and optimizing a soil water content inversion model based on the pure soil back scattering signals and field sampling data; the spatial distribution calculation module is used for calculating a spatial distribution diagram of the surface soil water content of the target area; and the risk assessment module is used for carrying out landslide risk grade division and early warning management.

The invention discloses a self-healing concrete intelligent preparation method and system based on a dynamic optimization algorithm. The method comprises the following steps: S1, feeding: feeding materials to a premixing module by a raw material bin and a repairing agent carrier storage bin; s2, premixing: monitoring the water content of the aggregate fed into the raw material bin in real time by a premixing module, and dynamically adjusting the rotating speed of the premixing module through the water content; s3, gradient stirring: after premixing, feeding the materials into a gradient stirring module, and sequentially stirring; s31, firstly entering a low-speed paddle for stirring, monitoring the stirring resistance moment and the slurry viscosity distribution in real time, and dynamically adjusting the rotating speed of the paddle according to the torque-viscosity relationship; s32, performing ultrasonic homogenization on the materials subjected to low-speed stirring, monitoring the dispersity of each substance in low-speed stirring in real time through an identification camera, calculating the concentration gradient, monitoring the particle size distribution of a carrier at a discharge port of an ultrasonic homogenizer to obtain the particle size of a target aggregate, and dynamically adjusting the ultrasonic frequency according to the particle size of the target aggregate to obtain the target aggregate. And dynamically adjusting ultrasonic power and action time according to the concentration gradient.

The invention discloses an automatic deviation rectifying method for long-distance jacking of a pipe-jacking tunneling roadway, and relates to the technical field of automatic deviation rectifying of pipe tunneling, which comprises the following steps: collecting the compactness, water content and hardness data of a soil layer in a tunneling path in real time through a multi-point distributed sensing device, and calculating the deviation of the pipe-jacking tunneling roadway in combination with soil parameters and pipe-jacking equipment propulsion mechanical characteristics; and generating a geological condition profile map, constructing a resistance distribution model, predicting resistance change trends under different geological conditions, and establishing a correction early warning mechanism. According to the invention, through real-time stress monitoring, multi-point sensing and intelligent feedback control, the accuracy, efficiency and complex geology adaptability of pipe-jacking tunneling are improved. The equipment can quickly identify resistance abnormity, dynamically regulate and control propulsion in real time, reduce the influence of asymmetric force, and reduce personal error and construction loss. And in combination with a geological profile map, the equipment actively deals with soil layer changes through automatic deviation correction, the clamping stagnation problem is solved, safety and continuity are guaranteed, and risks and cost are reduced.

The invention discloses an expansive soil free expansion rate and permeability coefficient field test device and method, relates to the technical field of expansive soil tests, and aims to solve the problems that in the prior art, expansive soil expansion potential judgment standards are not unified, and test data discreteness is large. Comprising a cutting ring assembly, a moisture content measuring assembly, a displacement measuring assembly and a water supply assembly. The cutting ring assembly is used for fixing a test soil body; the moisture content measuring assembly monitors the moisture content of the soil body in real time; the displacement measuring assembly records soil surface and deep displacement; the water supply assembly controls water injection. The test method comprises a test method and a numerical analysis method, the permeability coefficient and the free expansion rate of the soil body are calculated by injecting water and monitoring the moisture content and the displacement change of the test soil body, a moisture content curve is fitted by combining numerical analysis, the expansion coefficient and the saturated moisture content are solved, and the free expansion rate of the soil body is finally determined. The free expansion rate and the permeability coefficient of the expansive soil are rapidly and accurately measured on site, the expansion potential is judged, and a reliable basis is provided for engineering application.

The invention discloses a soil water content inversion method based on improved combination roughness, and relates to the field of remote sensing, and the method comprises the steps: synchronously obtaining a Sentinel-1 radar image and a Sentinel-2 optical image, and extracting different polarization backscattering coefficients, local incident angles and normalized water body indexes through preprocessing; the method comprises the following steps: generating a bare soil simulation backscattering coefficient data set, removing vegetation scattering contribution by using a water cloud model, obtaining a real bare soil backscattering coefficient, constructing a training set and a verification set containing actually measured soil water content, constructing a lookup table based on double models, and calculating the water content of the bare soil by minimizing a root-mean-square error between simulation and the real backscattering coefficient. Global search is carried out in a preset parameter space to determine an optimal earth surface root mean square height and a correlation length, a novel polynomial combination roughness is constructed, a physical correlation between the roughness and a backscattering coefficient is established, a dual-polarization empirical equation set is constructed, and simultaneous solution is carried out after parameters are optimized according to a criterion; according to the method, a more reasonable inversion result of the soil water content in a large range can be obtained.

The invention provides a method for automatically monitoring the humidity of a corrugated board on line, and belongs to the technical field of corrugated board production. Uniform thermal pulses are applied to the surface of the corrugated board through a thermal infrared imaging device in combination with a thermal pulse excitation system, and high-resolution thermal response images are collected in real time. The system calculates thermal diffusivity and thermal attenuation characteristics based on an unsteady state heat conduction equation, generates a temperature distribution matrix, extracts a humidity characteristic spectrum by using a heat and humidity two-parameter neural network model, and establishes a corresponding relation between temperature and water content. Carrying out region segmentation through the humidity characteristic spectrum, identifying a humidity abnormal region, calculating a deviation value, and triggering an alarm when the deviation value exceeds a preset threshold value. The technical problem that in the prior art, corrugated board humidity detection mainly depends on manual sampling and special instruments, and real-time online monitoring on a production line cannot be achieved is solved.

The invention relates to the technical field of rock sample oil-water saturation determination based on a nuclear magnetic technology, and provides a shale sample oil-water saturation intelligent determination method based on a two-dimensional nuclear magnetic technology, and the method comprises the following steps: collecting volumes, echo signals and signal-to-noise ratios of a preset number of rock samples; marking a target rock sample and a comparison rock sample, and determining a volume influence comprehensive interference degree and a noise amplification coefficient of a target echo signal; obtaining a denoised target echo signal according to the target echo signal, the volume of the rock sample corresponding to the target echo signal and the noise amplification coefficient of the echo signal; according to experiments of rock sample two-dimensional nuclear magnetic oil-water distribution, pore attributes and the like, a two-dimensional nuclear magnetic T1-T2 map is divided into an invalid pore area and an effective pore area of a rock sample corresponding to the two-dimensional nuclear magnetic T1-T2 map and an oil-water distribution area of the effective pore area, a fluid close to reservoir oil-water distribution is adopted to recover a two-dimensional nuclear magnetic spectrum of the rock sample, and the oil-water content corresponding to a nuclear magnetic signal is extracted; and obtaining a rock sample oil-water saturation determination result based on the nuclear magnetic technology.

The invention discloses a method and system for predicting methane emission flux based on a data coupling model, and the method comprises the steps: downloading remote sensing, soil, hydrology, observation and meteorological data of a target wetland region, and carrying out the data preprocessing; the TECO model and the Wetland-DNDC model are coupled, and hourly underground water level data output by the TECO model are transmitted to the DNDC model; preprocessing the wetland soil data, and calculating the water content change of the soil profile; operating the coupling model, and simulating methane generation, oxidation and emission; based on actually measured data, assimilating and optimizing key parameters by adopting Bayesian data, quantifying uncertainty through Monte Carlo simulation, and performing methane emission flux prediction data; and finally, carrying out precision verification on a prediction result and an actual measurement result. According to the method, high-precision prediction of the wetland methane emission flux is realized through the coupling model.

The invention relates to the technical field of textile printing and dyeing, in particular to a setting machine cropping moisture content control method and system based on MPC. An MPC model is constructed, and the MPC model comprises the steps that actually-measured and preset water content and the first control parameter state vector serve as input, and predicted water content is obtained; minimizing the difference value between the predicted water content and the preset water content as a target; solving and optimizing the control increment by using the optimization matrix and sequential quadratic programming; and performing action regulation and control on an execution mechanism by utilizing the optimal control increment. The invention solves the problems of insufficient detection precision, hysteresis and poor interference resistance in the existing single temperature feedback control of the moisture content of the fabric.

The invention relates to the technical field of solid waste incineration automatic control, and discloses a solid waste incineration equipment automatic control method and system.The method comprises the steps that real-time data of solid waste components in a hearth are collected, and an initial multi-dimensional parameter set is obtained through preprocessing; calculating a balance point of the heat value and the water content through fuzzy reasoning; when the balance point exceeds a threshold value, parameter interaction influence is predicted, and a multi-dimensional control vector is generated; performing data fusion and historical data matching in combination with real-time incineration process indexes to obtain an enhanced load distribution adjustment factor; carrying out weight comparison based on the adjustment factor and the balance point, judging a load balance influence index, and carrying out matching correction if the index exceeds a compatible threshold value; updating a load distribution scheme according to a correction result, and generating a final operation strategy; and a control instruction is sent through a feedback cycle mechanism and is continuously optimized, so that closed-loop control is realized. The device can adaptively treat dynamic changes of solid waste components, and the incineration efficiency and stability are improved.

The invention relates to a method and system for determining the water content of a safe shutdown boundary of a submarine mixed transportation pipeline, and the method comprises the steps: carrying out a physical property parameter test, and taking the physical property parameter as a multiphase flow simulation input parameter; carrying out submarine pipeline shutdown simulation on the basis of the physical property parameter test data, and obtaining oil section temperatures and spatial distribution characteristics at different water depth positions in the pipeline; carrying out an oil-water layering characteristic experiment under a temperature control condition to obtain an oil-water emulsion layering characteristic; sampling oil sections with different layer heights in the oil-water layering characteristic experiment, and testing the water content and simulating the yield / slip characteristic at the oil section temperature based on the temperature distribution of the oil sections; according to the yield / slip stress of the oil sections with different layer heights, carrying out segmented calculation and weighted accumulation to obtain an overall starting stress; on the basis of the overall starting stress, the safe shutdown boundary moisture content is determined in combination with pressure boundary conditions. The method can effectively guide the safe transportation stopping and restarting of the submarine pipeline, optimizes the replacement operation after the transportation stopping of the submarine pipeline, and improves the operation safety and economy.

An offshore oilfield segmented water injection parameter design method based on communication unit demarcation comprises the specific steps that S1, an offshore loose sandstone longitudinal multilayer oil reservoir inter-well connectivity model is constructed, an inter-well communication network is constructed, and the bottom hole pressure of each well and the water content of each sand prevention section are calculated; matching the production dynamics calculated by the model with the actual historical production dynamics by optimizing the characteristic parameters, realizing the inversion solution of the model parameters, and determining a historical fitting objective function suitable for the connected model; and S2, determining a water injection splitting coefficient, water injection efficiency and a fluid channeling index of each layer of water injection well of the oil reservoir according to the inter-well connectivity model of the offshore loose sandstone longitudinal multi-layer oil reservoir constructed in the S1. Aiming at the problem that a production well of the offshore loose sandstone reservoir is easy to generate water channeling or water logging and the like, in combination with a real-time production allocation and injection allocation production algorithm, accurate inversion of the connectivity model and real-time prediction of the production dynamics of an oil-water well are realized according to geological characteristics, development dynamics and construction of the connectivity model of the offshore loose sandstone reservoir.

The invention belongs to the technical field of soil research equipment, and aims to solve the problem of measurement errors when a time domain reflection device is used for measuring the ice content of soil. The invention provides a method and a device for testing the ice content of a soil body based on an electrochemical impedance modulus value. The method comprises the following steps: setting test parameters of the ice content of the soil body through an electronic computer; a temperature control device is used for adjusting and controlling test conditions of the soil body sample, and a control module drives the temperature control device to perform stepped cooling on the soil body sample; applying a disturbance signal to the soil body sample through the test module, and synchronously collecting a response signal sent by the soil body sample; calculating an experimental value of an electrochemical impedance module value by using electrochemical impedance data analysis software, fitting by combining with the temperature signal to obtain a fitting value of the electrochemical impedance module value, and substituting the value and the initial water content into a soil mass ice content calculation model to obtain the ice content of the soil mass sample. According to the invention, the ice content of the soil body can be rapidly and accurately calculated based on the chemical-electrochemical impedance modulus value.

The invention belongs to the technical field of frozen soil engineering, and particularly relates to a concrete-frozen soil contact surface direct shear test sample manufacturing device and method.The concrete-frozen soil contact surface direct shear test sample manufacturing device comprises a box body, a counter-force frame, a heating plate and a refrigerating plate, a walking device is arranged at the top of the counter-force frame, a pressurizing device is arranged at the bottom of the walking device, and a pressure gauge is arranged on the pressurizing device; a concrete pouring chamber and a soil sample chamber are arranged below the reaction frame, and a partition plate is arranged between the concrete pouring chamber and the soil sample chamber. The method has the advantage that the problem that the water content of the concrete-frozen soil interface is too high due to water migration caused by the gravity effect is solved.

The invention discloses a primary support early-age sprayed concrete safety assessment method under cyclic blasting load, and relates to the field of concrete reliability analysis, and the method comprises the following steps: determining geometric parameters of a to-be-protected tunnel, and establishing a tunnel finite element model; determining a blasting load by using a detonation wave theory, and applying the load to the model for finite element analysis to obtain residual deformation data of each extraction point; determining a blasting load influence range; monitoring the environment temperature time sequence data of the evaluation sub-section, and representing the hydration degree and the water content of the evaluation sub-section; according to the method, the mapping relation between the mechanical characteristic parameters and the hydration degree and the water content is established, the mechanical characteristic parameters of the concrete are calculated, the safety of the sprayed concrete is determined by comparing damage with a safety difference standard, and the scientificity of safety evaluation of the sprayed concrete is improved.

The invention discloses a moisture content measuring system and method based on a flexible conformal antenna sensor. Amplitude attenuation and phase deviation can occur when a microwave signal is propagated in a fluid to be measured, amplitude attenuation and phase deviation values are related to the dielectric constant of the fluid to be measured, and the dielectric constant of water at normal temperature is about 78 and is greatly different from the dielectric constant of oil or air. According to the invention, the moisture content information can be obtained by detecting the amplitude attenuation and the phase deviation value under the fixed frequency point. According to the invention, 0-100% full-scale moisture content measurement can be realized. The flexible conformal antenna sensor breaks through the fixed mode that the convex surface of a traditional conformal antenna radiates outwards, the design that the circular patch is embedded in the concave surface is adopted, the direction of a main wave beam is centripetally focused in the radial direction of a pipeline, directional radiation of electromagnetic waves to a to-be-detected fluid pipeline area is achieved, and the energy coupling efficiency between the electromagnetic waves and fluid is improved; and the dielectric property change of the whole watershed of the fluid is detected.

The invention provides a soil drought resistance determination method, device and equipment and a storage medium, and the method comprises the following steps: determining a specific drought-susceptibility index of a target soil sample in a specific water content state based on the volume, saturated water content, saturated hydraulic conductivity and a soil water holding curve of the target soil sample; the specific drought-susceptibility index represents the power required for transferring unit water from unit volume of a target soil sample to the surface of a crop root system in unit time; and determining the drought resistance of the target soil sample based on the specific drought-susceptibility index of the target soil sample. Therefore, the drought resistance of the soil is comprehensively, accurately and quantitatively evaluated, and a theoretical basis and practical guidance are provided for comparison and improvement of the drought resistance of the soil in agricultural production.

The invention relates to the field of flow-state solidified soil, and discloses flow-state solidified soil prepared from construction waste, preparation equipment and a preparation method. The pre-dehydration module is used for controlling the water content of discharged materials to be less than or equal to 14%; the system further comprises a main drying system, an auxiliary material adding device, a water adding device and mixing equipment. The main drying system comprises a high-temperature drying area, a high-temperature buffering area and a heat preservation discharging area which are arranged in the vertical direction, materials treated by the pre-dehydration module are lifted into the high-temperature drying area through lifting equipment, the main drying system comprises at least two sets of material conveying belts, and a plurality of hot air openings are evenly formed in the top of the high-temperature drying area; an inlet of the hot air pipe is communicated with an air cavity heated by a heat source; a recovery channel communicating with the portion, close to the bottom, of the heat preservation discharging area is arranged on one side of the main drying system, and an obliquely-arranged dust baffle is arranged in the recovery channel. According to the invention, the problems of fluctuation of construction waste sources and large change of material moisture content in the prior art are solved.

The invention discloses a foam particle reinforcement-based lightweight Dehua white porcelain sculpture and a preparation process thereof, and relates to the field of ceramics, the foam particle reinforcement-based lightweight Dehua white porcelain sculpture comprises white porcelain slurry and thermoplastic foam particles with closed pore structures, the matrix raw materials comprise the following raw materials in parts by weight: 60-70 parts of Dehua kaolin, 20-25 parts of quartz and 10-15 parts of feldspar, the water content of the white porcelain slurry is 25-30%, the volume ratio of the thermoplastic foam particles to the white porcelain slurry is 1: (0.2-0.5), and the thermoplastic foam particles are polystyrene or polyurethane particles. The oriented microporous structure is formed by the thermoplastic foam particles, so that the density of the white porcelain sculpture finished product is reduced to 1.2-1.8 g / cm < 3 >, the weight is reduced by 30-50% compared with the traditional white porcelain sculpture finished product, and the weight and the transportation and installation cost of the white porcelain sculpture finished product are greatly reduced.

The invention discloses a stratigraphic water content layering inversion method based on a shallow seismic full waveform, and relates to the technical field of geophysical exploration data processing, and the method comprises the following steps: 1, under the same survey line condition, synchronously obtaining a seismic wave full waveform, complex impedance and an induced polarization frequency spectrum; 2, constructing a layered initial model containing a layer boundary line and an in-layer water content initial value; based on the layered initial model, executing dual-domain quantile alignment interface keeping iteration until convergence, and obtaining a final layer boundary line and an in-layer water content field; the double-domain quantile alignment interface maintaining iteration comprises the following steps: updating an in-layer moisture content field and a layer boundary line according to a seismic wave full waveform; and performing total variation regularization processing on the updated in-layer water content field to maintain the transition characteristic of the layer boundary line. According to the method, an efficient and reliable solution with actual guidance value is provided for mineral resource exploration, geological structure detection, groundwater survey and engineering geology evaluation.

The invention discloses a pressure adjusting method and system for a pressure air gun for drying, and relates to the technical field of pressure air gun adjusting.The method comprises the steps that pressure distribution data and drying effect parameters of the surface of a dried object are collected in real time; the drying effect parameters are input into a reinforcement learning and quantum annealing collaborative decision model, a dynamic pressure adjusting strategy is generated, and the dynamic pressure adjusting strategy comprises control parameters of a pressure value, a waveform frequency and a nozzle direction; an air gun is controlled to output a target pressure waveform according to the dynamic pressure adjusting strategy, the target pressure waveform is generated based on the 3D geometrical characteristics of the drying object, and the impedance of an internal flow channel of the air gun is adjusted in real time through a magnetorheological fluid strategy; in the drying process, three-section mode switching is triggered according to the real-time water content and surface roughness data, chaos frequency modulation pulse waves are output in the initial stage to peel off water, fractal diffusion waves are switched in the middle stage to achieve uniform coverage, and nanometer resonance waves are adopted in the final stage to complete drying.

The invention provides a volcanic ash soil side slope water content prediction method and system, and relates to the technical field of side slope water content prediction.The method comprises the steps that first information and second information are obtained, the first information comprises design data and historical monitoring data of a volcanic ash soil side slope, and the second information comprises the design data and the historical monitoring data of the volcanic ash soil side slope; the second information comprises real-time monitoring data of the volcanic ash soil slope; constructing a moisture migration rule model based on a Richard equation in a switching form, sending the first information to the moisture migration rule model for feature extraction, and classifying the extracted features to obtain classified first information; inputting the classified first information and the moisture migration rule model into a preset neural network model for training to obtain a trained moisture content prediction model; the second information is sent to the trained water content prediction model, and volcanic ash soil slope water content parameters are obtained. According to the method, the water content prediction precision and the operation speed are improved, and the performance loss and the time cost are reduced.