928 results about "Water content" patented technology

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 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 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 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.

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 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 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 relates to the technical field of data processing, in particular to an agricultural water efficiency dynamic monitoring and optimizing system based on machine learning, which comprises a processor and a memory, the processor executes a computer program of the memory to realize the following steps: acquiring historical soil water content data and multi-dimensional historical environment data of any to-be-monitored position at each moment in a preset historical time period; according to the data change characteristics of the historical soil water content data and the multi-dimensional historical environment data, obtaining the correlation degree of each environment and the soil water content; when an LSTM prediction algorithm is used for prediction, a prediction time period is obtained, and the weight of each piece of historical soil water content data is obtained according to the correlation degree of each environment and the soil water content and the difference between each piece of multi-dimensional historical environment data in the prediction time period and the multi-dimensional environment data at the current moment; and the soil water content data at the next moment of the current moment is predicted, so that the accuracy of predicting the soil water content is improved.

The invention discloses a shield muck heavy metal pollution intelligent sorting system and method based on multi-parameter online detection, and relates to the field of shield muck sorting, the shield muck heavy metal pollution intelligent sorting system comprises a muck sample pretreatment module, an online detection module, a pollution evaluation analysis module, a sorting execution module and a linkage control feedback module; the muck sample pretreatment module is used for separating coarse particles with the particle size larger than 50 mm and impurities in shield muck through a vibrating screen. According to the method, the initial value of the fine-grained soil content is detected in real time, data is automatically corrected based on a preset intelligent densimeter and a traditional densimeter difference correction model, rapid measurement is achieved, the detection efficiency is improved, a dynamic correlation model of fine-grained soil component changes is constructed by combining auxiliary parameters such as the muck weight, the water content and coarse grain grading, and the detection accuracy is improved. And the working condition adaptation module is linked to automatically improve the fine-grained soil detection frequency when the stratum mutation is identified by the shield PLC parameters, so that the data is ensured to closely follow the stratum change.

The invention relates to the technical field of intelligent data analysis, in particular to an intelligent dust suppression decision-making method and system for storage yard dust. The method comprises the steps that the dust concentration of a target storage yard monitoring point is obtained, and interpolation is conducted on the dust concentration to obtain a dust concentration distribution diagram; acquiring meteorological data of a target storage yard monitoring point, and calculating a pollution source position and pollution source intensity by using the meteorological data and the dust concentration distribution diagram; a moisture content change trend prediction model is constructed, and a stack surface moisture content prediction value changing along with time is obtained through the moisture content change trend prediction model based on the obtained stacking mechanism characteristics of the pollution source position, the stack surface moisture content and the meteorological data; and when it is judged that the predicted value of the surface moisture content of the stack is smaller than a preset threshold value of the surface moisture content of the stack, water spraying dust suppression is conducted on the stack at the position of the pollution source based on the intensity of the pollution source. According to the invention, a closed loop is formed through monitoring, traceability, prediction and decision making, and the dust suppression accuracy and efficiency are improved.

The invention discloses a solid waste water content prediction system and method based on an infrared thermal imager. The temperature field of the solid waste on the conveyor belt in the natural convection and forced convection moisture evaporation process is monitored and compared in real time through the thermal infrared imager, and the moisture content of the solid waste can be accurately predicted in combination with data processing, environmental parameter correction and prediction of a regression equation. Compared with a traditional sampling detection method, the method has the advantages of being high in real-time performance, non-contact, simple in equipment, good in economical efficiency and the like, can adapt to a complex industrial field environment, and provides a new technical means for intelligent and refined control over waste incineration. The system is simple in structure, high in reliability, good in detection precision and capable of achieving real-time prediction of the water content of the solid waste entering the furnace.

The invention discloses a multi-stage grouting reinforcement method for water-rich broken surrounding rock, which comprises the following steps: grading broken rock mass according to the breaking degree and the water content condition of disturbed rock mass and the result of a rock mass water content correction P wave test tested by a resistivity method, flexibly adjusting the type of grouting materials according to grading, and matching different grouting processes. While the grouting material is effectively utilized and the engineering budget is reduced, the reinforcing and plugging quality of multiple areas of the fractured rock mass can be guaranteed, the safe operation of the underground engineering is guaranteed, the reinforcing and plugging quality of the fractured rock mass is guaranteed, and the safe operation of the underground engineering is guaranteed. Rock masses with different crushing degrees can obtain the best reinforcing effect through the graded grouting strategy, the overall reinforcing strength is improved, and the anti-permeability performance and the reinforcing strength of a reinforcing body are greatly improved through application of the high polymer grouting material.

The invention discloses a long-distance water-salt dynamic regulation and control method and device, a medium and a product, and relates to the technical field of ecological management, and the method comprises the steps: periodically obtaining monitoring data through a real-time monitoring network; determining the opening degree of a flow valve based on a partial pressure technology according to the water pressure and flow data of each node of the water delivery pipe network, and dynamically adjusting the water pressure and flow of each shunt branch in the water delivery pipe network according to the opening degree of the flow valve; according to the water content of the artificial soil layer, a water supplementing strategy is determined based on a vegetation water demand model; according to the salinity value of the artificial soil layer, on the basis of a salinity accumulation risk model, salt control closed-loop control based on a high salinity water active suction band-off mechanism is carried out; according to the invention, dynamic, accurate and closed-loop management of moisture and salinity can be realized.

The invention relates to the technical field of soil physical parameter in-situ measurement, and discloses a soil layer natural water content portable intelligent measuring instrument based on multi-source sensing fusion, which comprises a composite probe assembly and an intelligent measurement and control host which are physically connected, the composite probe assembly is configured to be inserted into a soil layer to be tested to construct a multi-physical field test environment, and an electrical transceiving unit and an acoustic transceiving unit are integrated in the composite probe assembly. By constructing a cross physical field excitation and multiphase parameter collaborative decoupling mechanism, a multidimensional dynamic correlation model is established by using the thermosensitive drift characteristic of the sound velocity of a mixed medium during thermal disturbance and the transient step response of a dielectric constant under an acoustic radiation force field; the problems that the coupling influence of the water content and the volume weight cannot be distinguished and the conductivity of bound water and the conductivity of free water are difficult to separate in a traditional means are effectively solved, and four independent physical quantities including the volumetric water content, the in-situ dry volume weight, the bound water content and the actual conductivity of pore water are synchronously inverted through a single probe. And the decoupling precision of the equipment on complex multi-phase soil medium parameters is improved.

The invention discloses a resistivity static sounding in-situ test probe for evaluating unfrozen water content and ice content of frozen soil and a working method thereof.The test probe comprises a sounding probe body and a probe rod which are vertically distributed, the sounding probe body is located at the bottom end of the probe rod, and a coaxial cable is arranged in the probe rod in a penetrating mode; a broadband signal generator, an embedded data processor, an inclinometer, an annular electrode array, a temperature sensor, a pressure measuring assembly and a friction cylinder are sequentially arranged in the probe rod from top to bottom. According to the invention, resistivity inversion calculation and temperature compensation calculation are carried out through the embedded data processor, and end resistance, friction resistance, inclination, temperature, unfrozen water content, ice content and thaw collapse coefficient are output; according to the method, mechanical parameters and electrical parameters are synchronously obtained, multi-physical field coupling analysis is combined, the frozen soil thaw collapse deformation in-situ testing method based on broadband resistivity static sounding is constructed, and the defect that the content of unfrozen water and the content of ice in a soil body cannot be detected through an existing static sounding technology in China is overcome.

The invention relates to the technical field of moisture content measurement, and discloses a corrugated board moisture content measurement method and system, and the method comprises near infrared spectrum data, microwave transmission data and acoustic vibration data; calculating a spectral feature vector; constructing a microwave response matrix; determining an acoustic damping coefficient; calculating stability indexes of the spectral feature vector, the microwave response matrix and the acoustic damping coefficient in a preset time window, and calculating a consistency index and a confidence coefficient weight; fusing the spectral feature vector, the microwave response matrix and the water content corresponding to the acoustic damping coefficient through a Kalman filtering algorithm, and outputting initial water content; dynamically adjusting a process noise covariance matrix of Kalman filtering, and when the residual error of any data source exceeds a preset statistical threshold value, resetting the confidence coefficient weight corresponding to the data source to zero; and repeatedly executing fusion, and outputting the water content. According to the method, three measurement means of near infrared, microwave and acoustics are adopted, the water content state of the corrugated board can be represented more comprehensively, and the water content measurement precision is improved.

The invention discloses a terahertz reflectance spectrum-based insulating oil micro-water content and aging detection method, device and equipment and a storage medium, and relates to the technical field of dielectric spectroscopy, and the method comprises the following steps: sampling each standard sample to obtain a to-be-detected sample, placing each to-be-detected sample in a sample bearing vessel to obtain an oil film layer, reflecting terahertz wave beams are utilized to irradiate each oil film layer to obtain a terahertz amplitude spectrum and a terahertz phase spectrum, a target three-layer optical model is utilized to perform inversion to obtain a complex dielectric function frequency spectrum, and a preset sub-dielectric model is utilized to fit the complex dielectric function frequency spectrum to obtain a main resonance characteristic and a characteristic parameter set; determining a reference micro-water content based on the main resonance characteristics, determining training data based on the characteristic parameter set, and constructing a target multi-task regression model; and processing the characteristic parameter set by using the model to obtain an initial prediction result and a confidence interval, verifying the prediction result to obtain a target prediction result, and improving the efficiency of detecting the micro-water content and aging of the insulating oil.

A testing device for measuring oil, gas and water contents in rock has a heating desorption unit that has a sample chamber for placing a rock sample to be detected, a crushing mechanism arranged within the sample chamber, and a heating mechanism. The heating desorption unit crushes and heats the rock sample in a sealed manner to achieve gas analysis and desorption analysis of oil and water contained therein, thus obtaining components to be detected. The device further has a cold trap collection unit in communication with the sample chamber, a light hydrocarbon capture unit in communication with the cold trap collection unit, a gas measuring unit in communication with the light hydrocarbon capture unit for measuring and calculating a gas volume; and a central control unit for controlling the testing device.

The invention discloses an intelligent concrete water spraying maintenance system and method based on geotechnical cloth visual inspection, and the system comprises a visual monitoring subsystem which is used for collecting image data of geotechnical cloth covering the surface of concrete; the image recognition subsystem is used for preprocessing the image data and generating moisture content distribution data; the control decision subsystem is used for dividing panel sub-areas according to the coverage range of the water sprayers, identifying to-be-maintained areas with the water content lower than a threshold value, matching the corresponding water sprayers and generating control instructions; the water spraying execution subsystem is used for executing water spraying operation through adjustable equipment; and the closed-loop evaluation subsystem is used for re-measuring the moisture content for evaluation through the visual monitoring subsystem and the image recognition subsystem after the water spraying operation is executed, and optimizing a control instruction according to an evaluation result. Accurate sensing of the moisture content of the geotechnical cloth on the concrete surface and on-demand water spraying are achieved, water resources and labor cost are greatly saved, and the curing uniformity is improved so as to reduce the early crack risk of the concrete.

The invention discloses a soil moisture content inversion and determination method based on a remote sensing image, particularly relates to the technical field of surveying and mapping and remote sensing measurement, and is used for solving the problems of space-time inconsistency, system deviation and result non-traceability caused by superposition of a mulching film and a salt shell in spring and tide in an existing saline-alkali area. Under a meter-scale unified grid and a unified radiation and time caliber, three types of interferences of coating, salt crust and phase are extracted as conditional quantities, equivalent bare land processing is completed according to the sequence of phase normalization, coating correction and salt crust correction, then the volumetric moisture content is calculated in a monotonicity controlled model, the stable monotonicity relation between pixel observation and the moisture content is recovered, and the monotonicity controlled model is obtained. The system error caused by the difference between the non-bare ground and the imaging time phase is resolved from the source. Through pre-seasonal and in-seasonal verification, the overall deviation is remarkably reduced, the water content error is kept at a low level, judgment jitter caused by post-rain transient and a high tide window is effectively inhibited by a stabilization strategy, and the engineering precision and consistency requirements of coastal zone spring film covering and salt returning periods can be met.

The invention belongs to the technical field of mine risk monitoring, and provides a method for monitoring potential landslide risk of ion type rare earth mine in-situ ore leaching. Real-time apparent resistivity data are obtained through a measuring line, and real-time moisture content data are obtained based on a preset apparent resistivity value-moisture content relation model; based on the real-time apparent resistivity data and the real-time water content data, interpreting and inverting by using RES2D software, and drawing a water content contour line; and the identification of the potential landslide risk of the ion type rare earth mine in-situ mineral leaching is realized in combination with the limit value of the mineral soil liquid. According to the monitoring method, under the condition that normal production is not affected, potential risk identification can be achieved, and the landslide risk is reduced.

The invention relates to the technical field of intelligent control, in particular to an intelligent control system for a freeze-drying process based on an intelligent algorithm, which comprises an acquisition module, a freezing adjustment module, a primary adjustment module and a secondary adjustment module. According to the method, the corrected plate layer temperature after incomplete freezing is accurately recognized according to double criteria of the freezing center temperature and the temperature drop trend, and after the drying efficiency deviation degree is calculated and the abnormal type is determined by utilizing the preset efficiency interval, the related preset process conditions are adjusted; meanwhile, stagnation and overheating runaway are independently diagnosed and analyzed on the basis of time sequence correlation of the water content decreasing rate and the center temperature increasing rate, the preorder freezing defect is traced when secondary drying is normal but overtime does not reach the standard, and the slab layer temperature is reduced in an equal proportion according to the freezing defect degree; the problem that the process efficiency and the product quality stability are difficult to consider at the same time due to dependence on artificial experience, stage splitting and lack of dynamic feedback is effectively solved.

The invention discloses an intelligent irrigation dynamic regulation and control method and system based on multi-source data. The method comprises the steps that the daily total water demand volume is calculated; acquiring the volume moisture content of the soil of the surface layer and the main root system layer in real time through an array sensor, and calculating the real-time infiltration gradient between the surface layer and the main root system layer; and executing a pulse irrigation process formed by alternation of irrigation pulses and infiltration waiting pulses, stopping water supply when the volumetric water content of the surface layer reaches a first preset threshold value, starting next water supply when the real-time infiltration gradient is lower than a second preset threshold value, and stopping water supply until the accumulated irrigation amount reaches the daily total required water volume or deep layer leakage is monitored. The system is used for executing the method. According to the method, the soil internal infiltration gradient serves as the physical basis of pulse start and stop, efficient conveying of water to deep soil is achieved, the contradiction that surface runoff and deep root system water shortage coexist is solved, and the water utilization rate is increased.

The invention provides a rock-soil moisture content and permeability testing system and method based on electromagnetic waves and infrared rays, and particularly relates to the technical field of geotechnical engineering testing and multi-source signal detection. According to the test system, construction of a rock-soil permeability experiment is realized through a rock-soil sample permeability test platform, the electromagnetic wave detection module realizes perception of a water-containing state in rock-soil, and the infrared thermal imaging module realizes perception of a wet boundary and seepage expansion characteristics of a rock-soil surface. The data acquisition and control module realizes integral control of a penetration experiment and acquisition of dielectric characteristics and infrared images, the signal fusion and inversion module realizes fusion of the dielectric characteristics and the infrared images and joint inversion of dynamic moisture content and penetration performance, and the result processing and visualization module realizes visual display of an inversion result; the method has the remarkable advantages of non-destructiveness, real-time performance, high spatial resolution, high adaptability, intelligent processing capacity and the like, and comprehensive characterization of the permeability behavior and the moisture content evolution process of the rock and soil sample is achieved.

The invention belongs to the technical field of building construction, and particularly provides a device for cooling concrete coarse aggregate by using cooling water, which comprises an aggregate storage bin, a temperature sensor, a weight sensor and a control unit, the top of the aggregate storage bin is provided with a water inlet and a feed inlet, the bottom of the aggregate storage bin is communicated with a water collecting device, and a water filter screen and a baffle are mounted in the aggregate storage bin; temperature sensors are mounted in the water inlet, the feed port and the water collecting device, weight sensors are mounted on the baffle and in the water collecting device, and the control unit comprises a heat exchange kinetic model and a water content calculation model. The concrete aggregate cooling device can conveniently cool concrete aggregate, can measure aggregate delivery temperature and moisture content data, realizes conversion from passive cooling to predictive intelligent control, effectively controls concrete mold entering temperature, reduces cracks caused by hydration heat, and improves mass concrete construction quality and structural safety. The invention also provides an operation method of the device for cooling the concrete coarse aggregate by using the cooling water.

The invention relates to the technical field of foundation treatment, in particular to a loess collapsible foundation treatment method based on porosity dynamic monitoring, which comprises the following steps: carrying out initial investigation on a loess collapsible foundation to obtain an initial investigation result, including the soil particle specific gravity, the moisture content, the density, the initial porosity and the collapsibility coefficient of foundation loess; according to the initial investigation result, a foundation treatment scheme is designed, and the scheme comprises determination of the treatment depth, the treatment range and a selected treatment method; foundation treatment is conducted according to the scheme, and in the foundation treatment process, the change of the loess porosity is monitored in real time through a porosity monitoring device; and according to the real-time monitoring data of the porosity, a foundation treatment scheme is adjusted or additional treatment measures are taken until the foundation porosity reaches a preset range and the foundation meets design requirements. The dynamic change of the loess porosity can be monitored in real time, foundation treatment measures can be adjusted in time according to the change of the porosity, and the loess collapsible foundation treatment effect and reliability can be improved.

A method and a system for analyzing the particle size of fly ash are provided. The method includes performing drying treatment on the sample to ensure that the water content is lower than 0.5%; uniformly dispersing the particles by using ultrasonic wave or airflow dispersion technology; measuring the particle size by laser particle size analyzer to generate cumulative distribution curve; calculating the median particle size and specific surface area by cumulative distribution curve. The system of the disclosure has an automatic operation function, and may automatically complete sample treatment, particle size measurement, data analysis and result output. This method improves the accuracy of measurement and data processing, and is suitable for efficient analysis of a large number of samples, which has a wide industrial application prospect.

The invention provides a solid wood floor secondary balance humidifying method based on dynamic moisture content closed-loop control. The solid wood floor secondary balance humidifying method comprises the steps that a wood digital structure model is established; based on the wood digital structure model, a deep learning algorithm is used for recognizing a high-density area and a low-density area, laser micropore machining is conducted on the high-density area, surface sealing treatment is conducted on the low-density area, and preprocessed wood is obtained; sequentially carrying out silane coupling agent pretreatment and titanate coupling agent modification treatment on the pretreated wood, and automatically adjusting temperature and humidity parameters in a cabin when detecting that the moisture content drift is greater than 0.3%, so as to control the moisture content of the wood in a range of 8-10%; and the wood obtained after dipping treatment is subjected to programmed heating curing treatment, heat of high-temperature gas generated in the curing process is recycled through a heat exchanger and used for a humidity adjusting process, and a cured solid wood floor product is obtained.

A method for evaluating contribution of each component to shale oil reservoir resistivity at high temperature and high pressure is applied to the field of oil exploration and development. The method comprises the following steps: (1) analyzing the volume percentage of each clay mineral, the pore water content and the mineralization degree of the shale oil reservoir pressure-maintaining closed core; (2) when the fluid pressure is greater than 23MPa, measuring the resistivity of the pressure-maintaining closed rock core at each temperature point; (3) carrying out water balance treatment on pure clay minerals, namely kaolinite, montmorillonite, illite and chlorite, and measuring the resistivity at each temperature point when the fluid pressure is greater than 23MPa; (4) when the fluid pressure is greater than 23MPa, measuring the resistivity of each temperature point of the solution consistent with the mineralization degree of the pore water; and (5) constructing a resistivity evaluation model, and evaluating the contribution of each component to the resistivity of the shale oil reservoir under the condition of high temperature pressure.