352 results about "Latent heat" patented technology

The invention relates to the technical field of automatic welding control, and particularly discloses a multi-station automatic welding cooperative control method for electric iron accessories, which realizes full-closed-loop accurate control of a welding process through multi-sensor data fusion and an intelligent optimization algorithm. According to the method, an infrared thermal imager, an acoustic emission sensor and an ultrasonic thickness measuring device are adopted to collect molten pool temperature field, sound wave frequency spectrum and fusion depth data in real time, after feature extraction, the data are input into a multi-target optimization model, and a Pareto optimal solution set is generated with the fusion depth, the width of a heat affected zone and phase change latent heat as optimization targets; dynamically adjusting a segmented welding-back path and process parameters on the basis of an optimization result, and triggering model iterative correction through ultrasonic online monitoring; the central control unit adopts space voxelization monitoring and a three-level collision avoidance strategy to coordinate operation of the multiple mechanical arms, and collision emergency protection is achieved in combination with flexible pressure sensing.

The invention relates to an AI-driven intelligent design and preparation method of an inorganic hydrated salt phase change material, and solves the problem that the traditional technology is mainly based on experience trial and error and single performance optimization and cannot give consideration to multi-performance balance and multi-scene efficient adaptation development requirements of the inorganic hydrated salt phase change material. The method comprises the following steps: acquiring multi-dimensional performance requirements (including phase change temperature, latent heat value and the like) of a material, generating a candidate formula and a prediction result by using a trained Gaussian process regression model, and performing multi-objective optimization to screen out a Pareto optimal formula; and carrying out experimental verification and calculating deviation, retraining the model by complementary data exceeding a threshold value, and determining a final formula after reaching the standard so as to be matched with continuous process large-scale preparation. The method has the advantages that the AI replaces experience trial and error, multi-performance cooperation of materials is achieved, the research and development period is greatly shortened, the cost is reduced, and the method is suitable for multiple energy storage scenes.

The invention provides a process optimization analysis system for vacuum concentration, which comprises a multi-source sensing module for acquiring temperature gradient distribution, vacuum degree dynamic waveform, material rheological characteristics and phase change latent heat parameters of an evaporation chamber in real time by adopting a distributed sensor array; the digital twin modeling module is used for constructing a hidden Markov chain model of process parameters and concentration kinetics based on transfer learning, and generating an adaptive covariance matrix by fusing historical batch data; the multi-objective optimization module is used for solving a Pareto frontier solution set in a non-convex solution space by adopting a mixed integer dynamic programming algorithm, and synchronously optimizing an energy efficiency ratio, a product yield and an equipment life index; and the adaptive execution module predicts and controls the hysteresis effect of the real-time compensation system through a nonlinear model, and establishes a double-closed-loop anti-interference regulation mechanism. Accurate sensing, dynamic modeling, multi-objective optimization and self-adaptive execution of the concentration process can be realized, the concentration efficiency, the product quality and the equipment operation stability are improved, and the process intelligence level is improved.

The invention discloses an ethylene-vinyl alcohol copolymer and a preparation method thereof, and relates to the technical field of resin. According to the technical scheme, the preparation method comprises the following steps: adding ethylene, low-carbon alkane, alkyl acid ethyl ester, alkyl acid vinyl ester and a carbon-carbon skeleton initiator into a reaction kettle, and carrying out a free radical polymerization reaction; adding a polymerization inhibitor to terminate the reaction, removing low-carbon alkane, unreacted ethylene and alkyl acid vinyl ester, and preparing the reaction liquid into an alcoholic solution; adding a catalyst into the alcohol solution for saponification reaction, and then performing acid pickling, water washing and drying to obtain the ethylene-vinyl alcohol copolymer. The low-carbon alkane which is low in boiling point, easy to vaporize and high in latent heat of vaporization and the saturated alkyl acid ethyl ester with good solubility are adopted as the mixed solvent to replace a traditional alcohol solvent, so that removal and control of reaction heat are facilitated, generation of insoluble gel is reduced, a copolymer with narrow molecular weight distribution is easy to obtain, and the method is suitable for industrial production. The cost that azeotrope formed by the alcohol solvent and the monomer is difficult to separate and recover is greatly reduced, and the production efficiency is improved.

The invention relates to the technical field of water-saving irrigation, in particular to a drought risk management-based corn planting water-saving irrigation system, which comprises a crop stress state monitoring module for acquiring a corn canopy temperature and an environment temperature and calculating a temperature difference value between the canopy and the environment. According to the method, the actual stress state of the crop is quantified by acquiring the difference value between the corn canopy temperature and the environment temperature in real time, and the crop water stress index which is dynamically calculated is combined, so that the water stress identification precision and the response time efficiency are improved, and the problems of irrigation decision lag and blindness are avoided; further, the real evapotranspiration demand of crops is accurately judged by dynamically monitoring the change rate of latent heat flux, misjudgment possibly caused by single monitoring of temperature difference is avoided, and the irrigation demand judgment accuracy is ensured; meanwhile, the prices, the flows and the available amounts of different water sources are comprehensively optimized, the taking proportion of multiple water sources is configured with the lowest total irrigation cost as the standard, water source economical efficiency optimization becomes possible, and irrigation operation cost and resource consumption are effectively reduced.

According to the deep and far seawater suspension oil and liquid storage device and the underwater oil storage method thereof, a layered tank body structure is adopted, and a load adjusting cabin, a flexible oil storage cabin and a water storage cabin are arranged from top to bottom. The load adjusting cabin is used for dynamically adjusting the net buoyancy of the device through seawater feeding / discharging to reduce the load of the mooring system; the oil storage cabin adopts a flexible storage bag to adapt to volume change and is linked with the water storage cabin through a movable composite heat preservation partition plate, the partition plate comprises an active heating layer and a phase change material layer, when the oil temperature is too low, the active heating layer directionally heats crude oil, the phase change layer absorbs dissipated heat, latent heat is released during external low-temperature impact to buffer temperature drop, and dynamic temperature control is achieved. The device is moored and fixed through a gravity anchor, and multiple types of sensors are arranged to monitor the posture, stress, oil temperature and leakage state of the tank body in real time. The problems of oil storage tank deformation, high pour point oil heat preservation and mooring stability under the deepwater high-pressure environment are solved, and the device has the advantages of being low in construction cost, high in environmental adaptability and efficient in operation and maintenance and is suitable for safe storage and transportation of deep and far sea oil and gas resources.

The invention provides a waste heat recovery method and system for a phase change heat storage data center, and the method comprises the steps: dynamically adjusting the heat storage capability of a heat storage system of the phase change heat storage data center according to a correlation mapping relation between load fluctuation and heat generation, and analyzing the phase change temperature and latent heat value of a material; determining the heat absorption rate range of the material under different loading conditions; aiming at a heat absorption rate range, combining a nonlinear change rule of a heat storage material to construct a prediction model of a heat release rate, acquiring a dynamic adjustment parameter of heat release from the prediction model as model output, and judging whether the heat release rate meets a heat demand of a user side or not; and according to the optimized heat release rate data, the constant temperature maintaining time of the heat storage material in the solid-liquid conversion process is monitored in real time, and the stability index of the temperature platform is determined.

The invention discloses a total primary productivity estimation method and system based on multi-model coupling deep learning, and the method comprises the steps: obtaining the multi-source data of meteorological data, remote sensing images, latent heat flux, sensible heat flux and solar radiation, carrying out the quality control, missing value processing and nearest neighbor interpolation of different data sources, and carrying out the prediction of the total primary productivity. Unifying to a target spatial resolution and a time resolution; in a light energy utilization rate (LUE) model family, a solar radiation phase factor is introduced into a photosynthetically active radiation absorption ratio (FPAR) to obtain a phase modulation type FPAR, drought duration is introduced into a water stress function f (W) to obtain an exponential decay type f (W), and a GPP time sequence of a plurality of improved mechanism models is calculated according to the exponential decay type f (W); extracting spatial texture features from a remote sensing image stack by using a convolutional neural network (CNN), and performing cross-modal fusion on the spatial features and the GPP estimated by the plurality of improved mechanism models in a gating mode to form fusion representation; carrying out learning and collaborative optimization on the fusion representation of the GPP and CNN spatial features estimated by the plurality of improved mechanism models by adopting a gradient lifting tree model; and high-precision estimation of the GPP is realized through multi-model collaborative optimization. The method aims at solving the problem that a traditional light energy utilization rate model is insufficient in response under the extreme environment conditions of drought and intense radiation, the adaptability limitation of a traditional single model under the complex environment is broken through, and therefore high-precision GPP estimation under the complex environment is achieved.

The invention relates to the technical field of disaster prediction, in particular to a low-temperature cloudy and rainy weather monitoring and early warning method and system based on the Internet of Things. Comprising the following steps: S1, acquiring the number of sensors, the types of the sensors, the service life of the sensors and the historical temperature anomaly gradient of the whole monitoring area; based on the number of the sensors, the types of the sensors, the service life of the sensors and the historical temperature anomaly gradient, dynamic space clustering analysis is executed, and a dynamically partitioned monitoring area is obtained; s2, on the basis of the monitoring area, the sensor abnormal data in the monitoring area are divided according to the temperature phase change type, and the sensor abnormal data after division is obtained. According to the method, sensor errors and latent heat data are accurately distinguished through a multi-factor verification model, monitoring area division is dynamically optimized, risk conduction is rapidly responded in combination with a cascade early warning mechanism, self-adaptive threshold adjustment is performed to suppress false alarms, and the low-temperature cloudy and rainy disaster defense capability is improved.

The invention relates to the field of heavy water production, and discloses an energy-saving rectification heavy water separation process which comprises the following steps: (1) heating feed water, and carrying out primary rectification; (2) compressing steam at the top of the first-stage rectifying tower, then supplying heat to a first reboiler, performing heat exchange condensation on the compressed steam to form tower top produced liquid for first-stage rectification, enabling one part of the tower top produced liquid to flow back to the first-stage rectifying tower, and discharging the other part of the tower top produced liquid as first-stage rectification distillate; (3) a stripping section base solution of the first-stage rectifying tower flows into a first reboiler, and a part of the stripping section base solution is boiled to form rising steam; the rest part enters a tower kettle and is extracted as heavy water or used as feeding water for next-stage rectification; and (4) carrying out N-stage rectification and purification until the heavy water meets the purity requirement. According to the scheme, the boiling difference between water and heavy water is extremely small, tower top condensation heat is equivalent to a heat source required by a tower kettle, tower top steam is used for providing heat for the tower kettle, latent heat of steam is fully utilized, energy consumption is greatly reduced, and a large number of heat sources can be obtained with a small amount of power consumption.

The invention relates to the technical field of molten salt, in particular to nitro binary molten salt and a preparation method thereof. The preparation method comprises the following steps: mixing sodium carbonate and a potassium hydroxide solution, and then adding a starch-based grafted crystal inhibitor to inhibit crystallization; adding a nitric acid aqueous solution in two stages, and introducing eutectic seed crystals to guide nucleation at the end of the first stage; crystal distribution is optimized through falling film evaporation and concentration and setting of partial reflux; and after spraying granulation, carrying out short-time melting reforming and controlled cooling in an inert atmosphere. According to the method, the composition uniformity and the structural stability of the molten salt are remarkably improved, so that the product has a melting point close to a theoretical eutectic point, low supercooling degree, high melting latent heat and excellent thermal cycling stability and corrosion resistance, and is suitable for an industrial heat storage system running for a long time.

The invention discloses a preparation method of a negative-temperature cement-based material capable of being continuously hydrated and hardened in an environment of-20 DEG C, and relates to the technical field of application materials. The negative-temperature cement-based material comprises Portland cement, fine aggregate, water, a mineral admixture, an anti-freezing agent, a water-retention thickener, a fluidity regulator, a microcapsule complex, a penetration enhancer, a silicon-aluminum disordered network precursor and an anti-freezing polypeptide chain material. Additives such as a microcapsule complex and a penetration enhancer are introduced into a cement-based system, a low-temperature activation mechanism with a synergistic effect is constructed, and the microcapsule complex can accurately release latent heat in a negative temperature environment and induce a hydration reaction to be continuously carried out; the permeation enhancer improves the interface diffusivity and breaks through a mass transfer channel of a frozen interface water layer; the silicon-aluminum disordered network precursor is used as a structure inducer to promote the recombination of a C-S-H gel structure at a low temperature; the antifreeze polypeptide chain material endows the slurry with frost crack resistance toughness through conformation adjustment and ice crystal inhibition functions.

The invention discloses an intelligent control method and system for real-time treatment of marine waste gas. The method comprises the following steps: collecting a ship waste gas component concentration signal and a sea condition dynamic parameter, performing vortex intensity extraction on the waste gas component concentration signal to identify a vortex flow characteristic, extracting a flow field disturbance coefficient from the sea condition dynamic parameter, and constructing a waste gas-environment interaction field; performing heat trace tracking based on the interaction field to position a high-temperature pollution source, constructing a heat propagation path and mapping a waste gas heat flow network; performing turbulence analysis on the heat flow network to identify a vortex breaking point, determining an optimal processing position and calibrating a processing axis; recombining the control parameter chain based on the processing axis, determining a steady-state processing interval and generating an adaptive adjustment matrix; the adjustment matrix and temperature gradient data are fused to recognize a phase change latent heat region, condensation release energy is extracted to construct an energy recovery tensor, and a gradient processing scheme is generated; a feedback curve is formed by monitoring the execution deviation, a waste gas treatment execution instruction is generated, and continuous and stable operation of ocean waste gas treatment is ensured.

The present invention discloses a pyrolysis oil and gas cutting device and method, comprising a waste rubber pellet pyrolysis module, a pyrolysis oil and gas high-efficiency cutting module, a pyrolysis oil and gas condensation module, a Roots blower, a non-condensable gas pressure-stabilizing and conveying module, and a control module. By spraying cooling water and circulating non-condensable gas onto the high-temperature pyrolysis oil and gas, the present invention utilizes the vaporization of the cooling water to absorb a large amount of latent heat of phase change, fully condensing the high-temperature pyrolysis oil and gas. Furthermore, the generated water vapor and non-condensable gas reduce the partial pressure of low-flash-point components in the oil and gas, causing them to continuously migrate from the liquid phase to the gas phase. While ensuring that the oil product flash point meets standards, the minimum flash point cutting temperature required for condensation of high-flash-point oil is lowered, thereby increasing the yield of high-flash-point oil.

The invention relates to a device and method for testing the heat conductivity coefficient of frozen soil in a near-phase-change region, and the device is characterized in that a heat-TDR probe sensor is inserted into a to-be-tested soil sample, then is sealed, and is placed into a constant-temperature liquid bath; the thermal-TDR probe sensor is used for performing integrated heating on a to-be-measured soil sample, measuring the temperature of the to-be-measured soil sample and measuring the dielectric constant of the to-be-measured soil sample, a lead of the thermal-TDR probe sensor is connected to the temperature acquisition device and the TDR-100 signal acquisition device, the TDR-100 signal acquisition device is connected to the TDR signal receiving device, and the TDR signal receiving device is connected to the thermal-TDR probe sensor. And the temperature acquisition device and the TDR signal receiving device transmit acquired signals to the processor. The phase change latent heat influence is considered, the water-ice phase change latent heat error correction method under the pulsating heat flow effect is defined, the calculation formula of the frozen soil heat conductivity coefficient of the near-phase-change area is corrected, and the test error of the frozen soil heat conductivity coefficient is reduced; and a guarantee is provided for accurately revealing the change rule of the frozen soil heat conductivity coefficient in the continuous temperature change process of the near-phase-change region.

The invention provides a phase change-moisture absorption and drainage composite roadbed structure in a seasonal frozen region and an intelligent regulation and control method, and relates to the technical field of roadbed design and renovation. The roadbed structure is characterized in that a plurality of gradient phase change material layers are arranged on the top surface of a roadbed surface layer; the multi-layer gradient phase change material layer, the high moisture absorption and drainage geotextile layer and the drainage pipe system are arranged from top to bottom; the phase change temperature intervals and the phase change latent heat of the phase change layers in the multiple gradient phase change material layers are different; the high moisture absorption and drainage geotextile layer is used for guiding water in the soil body into the drainage pipe system; the drainage pipe system is of a porous structure with the inclination angle within the set angle range and is used for guiding water in the soil into the drainage ditch. And the intelligent regulation and control system is used for dynamically regulating the thermal resistance of each phase change layer and the opening degree of the drainage pipe. According to the invention, the time of the roadbed in a relatively stable physical state can be prolonged, so that the purpose of preventing and treating winter frost heaving, frost boiling and mud rising in a spring melting period and other diseases caused by temperature change of the roadbed in severe cold areas is achieved.

The invention belongs to the technical field of energy storage materials, and particularly relates to a phase change energy storage material and a preparation method thereof.The phase change energy storage material is prepared from 8-12 parts of phase change wax, 10-15 parts of ZnAl-LDH, 6-9 parts of SiC-CuS and 8 parts of polyethylene glycol dimethyl ether; according to the invention, the double-metal hydroxide and the phase-change wax are combined, interlayer water molecules and ionic bonds of the double-metal hydroxide can realize reversible phase change, the phase-change wax can be supported to reduce high-temperature flowing, the phase-change wax makes up for insufficient latent heat and improves energy storage capacity, and the combination of the double-metal hydroxide and the phase-change wax widens the phase-change temperature range and enhances cycle stability; in addition, Si-C loaded CuS nanosheets are introduced, energy can be transmitted under illumination or heat energy to assist storage, the smaller the size of the nanosheets is, the larger the specific surface area is, more active sites can be provided, the heat conduction efficiency is improved, complementation of all advantages of the material is achieved through a simple method, and good comprehensive performance is achieved.

The invention provides a surface water heat flux integrated estimation method, system and equipment, and relates to the technical field of hydro meteorological remote sensing, and the method comprises the steps: according to the target surface temperature data, target net radiation data, target air temperature data, target vegetation coverage data and target soil moisture data of a target region, calculating the target surface temperature data; constructing to obtain target surface environment key parameters corresponding to the target region; and inputting the target earth surface environment key parameters into the surface water heat flux integrated estimation model to obtain target earth surface sensible heat, latent heat and soil heat flux estimation values which are simultaneously output by the surface water heat flux integrated estimation model and correspond to the intra-day time scale of the target region, the surface water heat flux integrated estimation model is obtained by training a physical information neural network machine learning model based on the sample surface water heat flux observation data corresponding to the sample surface water heat flux key parameters and the sample surface water heat flux key parameters. According to the method, the surface water heat flux estimation accuracy is improved.

The invention relates to the technical field of marine ecological engineering, in particular to a marine coral reef ecological restoration method based on a foamed aluminum base material, which comprises the following steps: preparing a modified foamed aluminum main body structure, constructing a modified bioactive surface layer, filling a modified phase change material capsule, and putting a restoration unit. According to the invention, the foamed aluminum main body structure provides a stable three-dimensional through porous network, and a natural reef habitat environment is simulated; a hydroxyapatite coating or a polymer layer constructed on the surface of the coral bone-imitating material remarkably improves the coral larva attachment and colonization efficiency through coral bone-imitating inorganic components or specific polypeptides respectively; the phase-change material capsules filled inside buffer water temperature fluctuation through phase-change latent heat, a stable micro-thermal environment is provided for coral growth, the functions of all the components are complementary and synergistic, foamed aluminum provides a carrier for surface functionalization, the surface active layer optimizes a biological interface, the internal temperature adjusting unit guarantees ecological suitability, and an efficient repairing system is formed. The coral reef ecological restoration effect is obviously improved.

The invention discloses an anti-natural gas hydrate coating which is obtained by coating the inner surface of a pipeline with a coating which can release phase change latent heat when the temperature drops and then curing the coating at low temperature, and the coating comprises the following raw materials in percentage by mass: 100% of dimethyl sulfoxide aqueous solution, 10% of gelatin and 10% of waterborne polyurethane. The mass fraction of the dimethyl sulfoxide aqueous solution is 60-90 wt%, the mass fraction of the waterborne polyurethane is 5-20 wt%, and the balance is gelatin. When the temperature drops, latent heat of phase change can be released, delayed freezing of the hydrate is achieved, the adhesive force of the hydrate is reduced, the self-repairing characteristic is achieved, and the problems that due to the too low temperature, the hydrate and the surface structure of the super-hydrophobic coating are mechanically interlocked, and the interior of the surface texture is coagulated are solved; and the problem of poor recycling performance of the existing super-hydrophobic coating is also solved.

The invention discloses a nano phase change heat storage material with high decomposition temperature as well as a preparation method and application thereof, and belongs to the technical field of mixed molten salt energy storage materials. The nanometer phase change heat storage material is composed of 99 wt% of low-melting-point mixed molten salt and 1 wt% of SiO2 nanometer particles. The low-melting-point mixed molten salt is composed of potassium nitrate, sodium nitrite and sodium nitrate according to the mass ratio of 53: (10-30): (17-37). The low-melting-point and high-decomposition-temperature nanometer phase change heat storage material with the melting point being 150-175 DEG C and the decomposition temperature being 660-723 DEG C is prepared by combining the mixed molten salt composed of potassium nitrate, sodium nitrite and sodium nitrate according to the specific dosage ratio with SiO2 nanoparticles, the melting point of the phase change material is low, energy consumption can be effectively reduced, and the energy consumption is reduced. And the composition has good decomposition temperature, melting latent heat and other thermophysical properties.

The invention relates to the technical field of liquid nitrogen jet precooling, in particular to a low-temperature cold air generating device and a liquid nitrogen jet system.The low-temperature cold air generating device comprises a shell, and a plugging cone is arranged in the shell; an annular cavity is formed between the plugging cone and the inner wall of the shell, and a plurality of flow equalizing plates are arranged in the annular cavity; a liquid collecting ring is arranged on the shell in the circumferential direction, and the liquid collecting ring is connected with a liquid nitrogen source; and a plurality of jet holes are formed in the shell corresponding to the liquid collecting ring. The low-temperature cold air generating device is arranged to be in a side spraying mode of the annular wall face, so that in the whole low-temperature cold air generating process, liquid nitrogen does not make direct or indirect contact with air before entering the device; the problems of insufficient utilization of latent heat, poor two-phase flow stability of liquid nitrogen in the pipe and large structural local stress caused by heat exchange between the liquid nitrogen and air before spraying of the spraying holes are effectively solved, meanwhile, the device can meet the requirement of a scene with the high requirement for miniaturization of the device, and the application range is wide. The problems that an existing low-temperature cold air generating device is poor in phase change heat transfer and mass transfer uniformity and low in heat exchange efficiency are solved.

The invention belongs to the technical field of phase change concrete, and particularly relates to a preparation method of composite phase change concrete. The invention provides a composite phase change aggregate. The composite phase change aggregate comprises a porous adsorption material, a composite phase change material and a packaging material, the porous adsorption material comprises expanded vermiculite; the composite phase change material comprises methyl palmitate (MP) and methyl stearate (MS); the packaging material comprises epoxy resin or styrene-acrylic emulsion. The composite phase change aggregate has excellent phase change temperature and latent heat of phase change, still has good thermal stability after multiple cycles, and meanwhile, the composite phase change aggregate replaces fine aggregate to be used for preparing concrete, and the prepared concrete shows good phase change cycle strength stability and heat conduction stability.

The invention discloses a compressed air energy storage underground cavern temperature adjusting structure and a manufacturing method thereof, and belongs to the technical field of compressed air energy storage, the temperature adjusting structure is sequentially provided with a flexible sealing layer, a phase change temperature adjusting layer and an optical fiber sensing layer from inside to outside, the optical fiber sensing layer is connected with the inner wall of a concrete lining, and the phase change temperature adjusting layer is used for stabilizing temperature fluctuation in a cavern; the optical fiber sensing layer is used for monitoring temperature and a strain field in real time and is electrically connected with an external fiber grating sensor grid monitoring system through a sensor lead. According to the method, latent heat can be absorbed or released through the phase change process, temperature fluctuation in the cavern can be effectively stabilized, material fatigue and structural damage caused by thermal stress circulation are reduced, real-time monitoring of the temperature and strain of the sealing layer is achieved, and the sensing capacity and the early warning level of the operation state of the cavern are improved.

The invention discloses a method for establishing a soil body freezing characteristic curve based on a thermodynamic principle. The method comprises the following steps: step 1, determining zoning characteristics of the soil body freezing characteristic curve; 2, determining an ice water chemical potential balance equation in the freezing process; 3, determining an ice water mole entropy equation and a phase change latent heat equation; 4, determining a soil mechanical equilibrium equation and a freezing temperature equation; 5, determining a capillary effect equation and a freezing temperature equation of capillary pores; and 6, determining a pore size distribution equation, and determining a soil body freezing characteristic curve. According to the thermodynamic principle and the microscopic physical structure of the soil body pores, a theoretical model capable of representing the change rule of the unfrozen water in the soil body freezing process with high precision is established, the quantitative relation among the freezing temperature, the content of the unfrozen water and the pore structure parameters is defined, the application range is wide, and the method is suitable for large-scale popularization and application. And theoretical support is provided for related research of the soil freezing process.

The invention relates to the technical field of adhesives, discloses an adhesive composition with an extreme environment-resistant photo-thermal dual-curing structure, and solves the problems that in the existing photo-thermal dual-curing technology, a photo-curing network formed in the early stage has physical limitation on a later-stage thermal curing reaction due to the curing time sequence difference of first light and then heat, and the service life of the photo-thermal dual-curing structure is prolonged. According to the method, a latent heat curing agent is coated in a photolysis microcapsule, and a latent heat release agent of which the decomposition temperature is lower than the activation temperature of the curing agent is blended in a wall material of the microcapsule. Therefore, the problems of physical limitation and internal stress concentration caused by a previous photocuring network to a later thermocuring reaction in a traditional photo-thermal dual-curing adhesive are solved, and the long-term reliability of bonding is improved.

The invention relates to the technical field of silo temperature and humidity monitoring, in particular to an intelligent monitoring, regulating and controlling method and system for the temperature and humidity in a silo, and the method comprises the steps: constructing a space coordinate system, and determining the position coordinates of each temperature and humidity sensor in a three-dimensional space; taking each temperature and humidity sensor as a node, and constructing a three-dimensional dynamic topological graph based on spatial correlation parameters of adjacent nodes; constructing a space-time joint feature set to form a comprehensive feature vector; and inputting the comprehensive feature vector into an abnormal heat source prediction model, and outputting a heat source abnormality judgment result of the center node. According to the invention, by constructing the three-dimensional space coordinate system of the temperature and humidity in the silo and combining the dynamic data processing and intelligent anomaly identification mechanism of the multi-point distributed temperature and humidity sensor, the problems of large temperature sampling spacing and delayed local thermal anomaly response in the prior art are solved; and early recognition and targeted regulation and control of the local latent heat source in the silo are realized.

The application provides a kind of shaped phase change material and its preparation method.The phase change material includes the following component materials according to mass percentage: 45.8-56.7% of dodecahydrate disodium hydrogen phosphate, 7.9-22.9% of sodium carbonate decahydrate, 7.6-15.9% of sodium sulfate decahydrate, 2.46-4.05% of reinforcing material, and 15-20% of adsorption material.The preparation of the phase change material includes the following steps: 1, preparing materials;2, preparing inorganic salt mixture;3, preparing molten inorganic salt mixture;4, preparing mixture and sealing;5, preparing shaped phase change material.The shaped phase change material prepared by the application has suitable phase change temperature, higher latent heat of phase change, no liquid leakage, no toxicity and non-combustibility, small supercooling degree, and no phase separation;at the same time, for the application occasions requiring transportation and storage between 20-30℃, the shaped phase change material can be used as an effective normal temperature cold storage agent to resist low temperature environment and protect specific chemicals and medicines from temperature fluctuation.

The invention discloses a contribution decomposition calculation method for lake expansion. The contribution decomposition calculation method comprises the following steps: extracting a lake area through a remote sensing image and a digital elevation model, inverting water volume change, judging a rainfall phase state by using a temperature threshold method, estimating ice and snow ablation amount in combination with a degree-day factor method, and calculating a glacier runoff total amount; constructing a single-layer evaporation model, calculating flux of net radiation, sensible heat, latent heat, water body heat storage and the like based on a lake surface energy balance equation, and obtaining daily lake surface evaporation capacity; quantile mapping and Bayesian fusion are combined, and lake surface rainfall is corrected; non-glacial runoff is calculated according to a lake water balance equation; dividing a stable period and an expansion period according to the lake area trend, calculating an abnormal value of the expansion period by taking the hydrological mean value of the stable period as a reference, and finally determining the expansion contribution of each hydrological factor according to the increment proportion of the abnormal value in the total water quantity. Through the method, the contribution intensity of different driving factors is determined, scientific support is provided for lake change simulation and evolution prediction, and ecological protection and management strategies are more targeted.

The invention discloses a low-temperature liquid storage tank pressure prediction method based on a non-thermal equilibrium state model, and aims to improve the calculation speed of a pressure evolution law so as to reduce the time required for predicting the pressure of a storage tank. The method comprises the steps that firstly, a pressure sensor, a temperature sensor and a liquid level meter are used for collecting the temperature of a current gas phase and liquid phase area of the low-temperature liquid storage tank, the pressure in the storage tank, the vacuum degree of a heat insulation layer and the real-time liquid level; secondly, transmitting signal data obtained by monitoring of the sensor to a processor, and checking the density, phase change latent heat and thermodynamic energy of gas and liquid phases in the storage tank through REFPROP software; then establishing a three-dimensional model and a heat and mass transfer relationship of the storage tank, and performing heat transfer analysis on gas-phase and liquid-phase media in the storage tank; secondly, performing energy analysis on a gas phase region, a liquid phase region and a gas-liquid interface in the storage tank according to the established three-dimensional model and a heat transfer analysis result, and selecting a proper time step to perform iterative calculation so as to ensure the calculation precision of each step; storing the calculation result of the previous step, and searching and taking thermodynamic parameters of the next time step through REFPROP software according to the parameters obtained through calculation; finally, the safe storage time of the storage tank under the current liquid filling volume and the heat insulation performance is calculated, and safe work of the storage tank is guaranteed.