493 results about "Experimental testing" patented technology

The invention relates to the technical field of boiler engineering and artificial intelligence modeling, in particular to a coal-fired boiler biomass blending combustion working condition intelligent optimization method, which comprises the following steps: constructing a three-dimensional mathematical model of coal-fired boiler biomass blending combustion based on experimental test data; performing multi-working-condition numerical simulation according to boiler combustion working condition fluctuation in the three-dimensional mathematical model; according to the numerical simulation data, constructing a time-space coupling model for co-combustion of biomass in the coal-fired boiler; the modeling accuracy is improved through a numerical simulation technology, the boiler operation condition is dynamically optimized in combination with space-time modeling, and theoretical support is provided for energy conservation and emission reduction and blending combustion proportion optimization; the method is suitable for environment-friendly transformation and operation optimization of the coal-fired boiler, and carbon emission and pollutant emission can be effectively reduced.

The invention discloses a Bayesian neural network-based concrete durability prediction method, which is characterized in that durability prediction is carried out by designing a multilayer Bayesian neural network model and combining data such as a concrete mix proportion, external environment conditions and material attributes. The Bayesian neural network updates the weight and bias through random sampling, and can quantify the uncertainty of prediction and provide a prediction confidence interval. The method comprises the specific steps of data preprocessing, network training, sampling, calculating and outputting a mean value and a standard deviation, optimizing model parameters through a gradient descent method, and finally evaluating model prediction performance. According to the method, the uncertainty in concrete durability prediction can be effectively quantified, more scientific and accurate decision support is provided for building engineers, and the cost and time of experimental testing are reduced.

The invention discloses a multi-field coupled microwave deicing intelligent system and an energy efficiency dynamic regulation and control method, and relates to the field of material surface ice layer desorption behavior research and deicing technology experimental testing. In order to solve the technical defects in the prior art that the existing microwave deicing technology still has obvious defects in the aspects of power adjustability, field distribution uniformity, interface depth temperature measurement, real-time mechanical test and the like, the technical scheme provided by the invention is as follows: the microwave deicing device comprises a microwave box body which is a metal closed cavity and is provided with a waveguide interface; a stirrer is arranged inside; the refrigerating system is connected with the back surface of the bearing plate of the microwave box body; a pressure head at the tail end of the mechanical loading module applies thrust to the ice layer; the device and the method are used for realizing construction, microwave heating and real-time mechanical testing of a low-temperature icing environment on the same platform. The method can be applied to dynamic monitoring and research work in multi-physics coupling deicing scenes such as aviation, traffic and new energy.

The invention provides a pole piece testing method, electronic equipment and a computer readable storage medium. The method comprises the following steps: acquiring pole piece data of the battery and liquid phase conductivity of electrolyte; and performing alternating-current impedance test on the battery to obtain an alternating-current impedance spectrum of the battery. And fitting the alternating current impedance spectrum to obtain the ion impedance of the battery. And determining performance data of the pole piece according to the ion impedance, the pole piece data and the electrolyte liquid phase conductivity. And performing simulation test and experimental test on the pole piece according to the performance data to obtain simulation data and real data, comparing the simulation data with the real data, and when the difference value between the simulation data and the real data is within the error range, determining that the simulation precision meets the simulation standard. Whether the pole piece meets the design standard of the battery or not can be quickly judged, the design efficiency of the pole piece is improved, and the design robustness is enhanced.

The invention provides a method for monitoring the degradation process of 3-chloroaniline, and relates to the technical field of water environment pollution remediation. According to the method, by combining multi-dimensional monomer isotope fractionation characteristics and experimental test results, theoretical calculation and experimental test are combined, possible degradation ways, degradation mechanisms and environmental attribution of 3-chloroaniline are deduced, and the results are complete and accurate. Compared with a mode of capturing and degrading intermediate products and free radicals only through a test means so as to reversely deduce a degradation pathway, the monitoring method provided by the invention can well make up the defects of experimental tests, deeply understand a degradation mechanism, more scientifically and reliably analyze the degradation pathway, the mechanism and the environmental destination of the pollutant 3-chloroaniline, and has a good application prospect. Key steps are favorably controlled, and the development of a high-efficiency and low-cost remediation technology for the polluted water environment is promoted.

The invention provides a light-weight optical fiber adapter rotating target detection method based on improved YOLOv8n, and relates to the technical field of computer vision and target detection, and the method comprises the following steps: collecting an optical fiber adapter image in a real scene, marking data, and carrying out the data enhancement to expand a data set; the method comprises the following steps: carrying out improvement on the basis of a YOLOv8n OBB model, and integrating MobileViTv3 into a C2f module of a backbone network; the Ghost Bottleneck v2 is integrated to a C2f module of the neck network; the structure of the detection head is improved by using Dynamic Head; the improved YOLOv8n-OBB lightweight model is used for training evaluation, and Angle DFL Loss is introduced in the training process to serve as a loss function; a label distribution strategy DynamicATSS module is integrated; completing the training, and keeping the optimal weight model after the training for experimental testing; according to the method, the detection requirements of high precision and low resources of an optical fiber adapter identification model are fully considered, the detection precision and the lightweight degree of the model can be effectively improved, and the method is suitable for efficient operation in embedded equipment and can be effectively used for detection of the optical fiber adapter.

The invention belongs to the technical field of simulation calculation, and particularly relates to a metal grounding body underground water corrosion characteristic simulation calculation method, which comprises the following steps: preparing a metal grounding body sample, and preparing an electrolyte; carrying out a polarization curve and electrochemical impedance spectroscopy test, and carrying out data fitting and corrosion kinetic parameter extraction on a test result; establishing a three-dimensional finite element model of the metal grounding body under an actual environment condition based on a polarization fitting curve obtained by data fitting and the extracted corrosion kinetic parameters; and performing grid division, performing simulation calculation on corrosion rates of the metal grounding body under different environmental conditions, and further calculating corrosion rate distribution, thereby realizing corrosion rate prediction of the metal grounding body under the actual environmental condition. According to the method, electrochemical experiment testing and finite element simulation modeling are fused, and the method is suitable for conducting quantitative prediction and material comparison evaluation on the corrosion rate of the metal grounding body in the groundwater environment where different pH values and multiple corrosive anions coexist.

The invention discloses a pressure reconstruction method and system based on error correction and an adaptive grid, and a storage medium. The system comprises a PIV experiment test subsystem, a processing module (comprising a PIV post-processing unit and a pressure reconstruction unit) and the like. The method comprises the following steps: firstly, controlling a laser emitting sheet to irradiate tracer particles in a water tank through a synchronizer, and simultaneously triggering a high-speed camera to capture a particle image sequence at a microsecond-to-millisecond-level time interval; the PIV post-processing unit performs cross-correlation analysis on the image to generate a gridding velocity field; a pressure reconstruction unit solves a pressure Poisson equation based on the velocity field to obtain a preliminary pressure field, then iteratively corrects an error through an error correction mechanism and gradient correlation optimization, and triggers self-adaptive mesh refinement / coarsening according to a pressure / velocity gradient amplitude; and finally, outputting a high-precision pressure field on the optimized grid. The method can be applied to flow field tests and hydrodynamic performance analysis in ship and ocean engineering, especially pressure field reconstruction in a complex flow field, and has a wide application prospect.

The invention relates to the technical field of fabric testing, in particular to an experimental testing method and device for determining the impact resistance of fabric, and the method comprises the following steps: S1, initial calibration: installing the fabric to be tested on a fabric frame, adjusting the tension of the fabric to be tested to a set value through a first electric push rod, starting an electromagnetic suction table to compress a spring to an energy storage state, and starting a second electric push rod; the pressure sensor array module is impacted by a bullet launched in a no-load mode, the process is repeated three times, an impact force calibration value is obtained, and the speed measurement sensor is synchronously calibrated, and S2, testing position switching is conducted, and liquid agar gel is injected into the transparent gel cylinder. According to the invention, through a unique spring system, the linear transmission module is utilized to drive the electromagnetic suction table to move, and the stretching amount of the spring is accurately controlled, so that the accurate adjustment of the projectile launching speed is realized, and the impact at various speeds can be simulated when the impact resistance of the fabric is tested.

The invention provides a method for recovering free hydrocarbon contents of different lithologic shale. The method comprises the following steps: carrying out closed freezing heat release, freezing pyrolysis and freezing multi-temperature-order pyrolysis experiment test analysis on a closed coring well core; performing freezing pyrolysis experiment test analysis on the core of the non-closed coring well; carrying out pyrolysis experiment test analysis on the multi-courtyard core; determining the lithology type of the shale; and recovering the free hydrocarbon content of the shale according to an experimental test analysis result and the lithology type. According to the method, light hydrocarbon loss can be reduced to the greatest extent, the content of free hydrocarbons in different lithology non-closed coring well samples and placed samples is recovered, and the accuracy of shale oiliness evaluation is improved.

The invention relates to a subway emergency evacuation identification system utility test and evaluation method, in particular to a simulation experiment evaluation method based on BIM (Building Information Model), Unity (game engine) and VR (Virtual Reality) technologies. According to the method, firstly, a subway emergency evacuation identification system experiment test platform integrating BIM, Unity and VR technologies is constructed; the platform can simulate the performance of the subway emergency evacuation identification system in a fire emergency event, and assesses different emergency evacuation identification systems. Further, according to the method, volunteers are recruited for experimental testing, and evacuation behavior parameters and visual gazing parameters of passengers are collected and analyzed. Finally, an all-dimensional and multi-dimensional index system is constructed, and the effectiveness of the emergency evacuation identification system is comprehensively evaluated by adopting a coupling coordination degree model, so that the safety, reliability and high efficiency of the emergency evacuation identification system in an emergency are ensured.

The invention belongs to the technical field of pressure sore treatment, and discloses an experimental test method for treating stress injury based on danshen emodin, which comprises the following specific steps: step 1, preparing experimental materials, selecting a healthy SD (Sprague Dawley) rat, and preparing a clean and sterile magnet and a shaver; the traditional Chinese medicine composition is prepared from the following raw materials in parts by weight: 1 part of isoflurane, 1 part of iodophor, 1 part of Vaseline, 1 part of Rhapontigenin and 1 part of resveratrol. The method comprises the following steps: modeling a stress injury model for an SD (Sprague Dawley) rat so as to simulate a stress injury disease, then respectively smearing three medicines, i.e., Danjie emodin, resveratrol and vaseline, tracking the healing condition of a stress injury wound, and finally performing ELISA (Enzyme-Linked Immunosorbent Assay) and Hamp; according to the present invention, the detection analysis is performed through the dyeing E, and the results show that the rheum emodin has good treatment effect on the stress injury, can reduce the expression of the proinflammatory factor, can promote the wound healing, has characteristics of environmental protection and low cost, and provides the new research direction for the treatment of the stress injury.

The invention discloses a structural dynamics model correction method, and belongs to the technical field of model correction. S10, establishing a finite element model of the structure, and setting a correction variable and a value range and an initial value thereof; s20, modal finite element analysis and experimental test value comparison are carried out; s30, if the error between the simulation value and the test value exceeds the allowable range, the step S20 is repeated, and the finite element model is updated; s40, updating the finite element model by utilizing a correction result in the step S30; s50, resetting the correction variable, the range of the correction variable and the initial value of the correction variable; s60, harmonic response finite element analysis and experimental test value comparison are carried out; s70, if the error between the simulation value and the test value exceeds the allowable range, adjusting the correction variable, and repeating the step S60 until the error meets the requirement; and S80, updating the finite element model to complete correction. According to the method, data of a plurality of excitation points and a plurality of response points are included at the same time, the problem of model correction result deviation caused by only using a single excitation point or a single response point at a time is effectively avoided, and the reliability and accuracy of a correction result are improved.

The invention relates to a system for testing the spatial distribution state of upward-floating icebreaking loads of an underwater vehicle, and belongs to the technical field of ice pool model tests. Comprising a vertical limb, a horizontal limb, a rigid base and a force transducer, the lower end of the vertical limb is in bolted connection with one end of the horizontal limb, the other end of the horizontal limb is connected with the lower side of the middle of the rigid base, and the rigid base is connected with a model through the force transducer. The device is suitable for various ice pool jacking experiment tests for simulating the upward-floating icebreaking process of the underwater vehicle, the constraint rigidity of each model segment is guaranteed, and synchronous measurement of the upward-floating icebreaking total load and load distribution of the underwater vehicle structure can be achieved; and targeted adaptive design is carried out on different ice water pool environments, so that the sensor array can carry out dynamic measurement under low-temperature water for a long time, and the cost increase caused by overhigh selection standard is also avoided.

The invention belongs to the technical field of green substitute design for chemical risk prevention and control, and discloses a deep learning method for designing a molecular structure of a chemical green substitute. On the basis of known chemical molecular structures and substitute target attributes, a green substitute molecular structure with synergistically optimized function and hazard attributes is obtained by applying the constructed method. The method is simple, convenient and efficient, resource investment of experimental testing can be saved, and regret replacement is prevented. The construction process of the method comprises the following steps: (1) generating a molecular structure of structural constraint based on a generative model; (2) realizing high-throughput prediction of multi-target attributes based on a decision-making model; and (3) realizing multi-target attribute collaborative optimization based on a Pareto optimization theory. The method established by the invention can effectively explore a wide chemical space, predict the multi-target attributes of the chemicals in a high-throughput manner, generate molecular structures with necessary functions and lower harmfulness, and provide a basic tool for green substitution of harmful chemicals.

The invention discloses a testing device and method for a multi-navigation-body jet-out water experiment in a decompression environment. The device comprises a decompression water tank, an air compressor, a guide rail module, a transmitting module, a high-speed camera, a negative pressure display and a synchronizer. Through a synchronizer, a negative pressure display, an electromagnetic valve, a guide rail module and a high-speed camera, multi-phase flow fields, velocity fields and motion attitude information around multiple navigation bodies are captured at the same moment, so that the experiment purpose is achieved, the test precision is greatly improved, the reliability of an experiment result is verified, and the experiment efficiency is improved. And a powerful test technical support is provided for the field of cross-medium multi-navigation-body jet water experiment test.

The invention relates to a mobile phone elastic piece resonant frequency optimization method in the field of mobile phone elastic pieces, which comprises the following steps: acquiring elastic piece material and structure design parameters, and establishing a relation model of elastic piece resonant frequency, material and structure; according to the working frequency range of the mobile phone and the target interval of the resonant frequency of the preset elastic sheet, determining the optimization direction of the elastic sheet material and the structural design; a finite element analysis method is adopted to simulate vibration modes of the elastic sheet under different materials and structural designs, and the inherent frequency and vibration characteristics of the elastic sheet are obtained; if the inherent frequency of the elastic sheet exceeds the target interval, adjusting the material thickness or structural design parameters of the elastic sheet, and performing finite element analysis again until the inherent frequency falls into the target interval; verifying whether the resonant frequency and the vibration mode of the elastic sheet accord with a preset target or not through an experimental test, and obtaining comparative analysis of experimental data and a simulation result; and according to the optimized elastic sheet material and structural design parameters, elastic sheet manufacturing process parameters are generated and used for accurate manufacturing in the actual production process.

The invention provides a thermoelectric device analysis method considering the variable-temperature elastic-plastic mechanical property of a thermoelectric material, and the method comprises the steps: firstly obtaining a real variable-temperature mechanical property curve of the thermoelectric material in a set temperature range through a performance experiment test, and carrying out the fitting to obtain a variable-temperature damage model of the thermoelectric material; then establishing a thermoelectric device model in finite element software, and defining material attributes of each component; carrying out bearing performance simulation on the hot arm component to obtain a stress-strain response simulation curve; comparing the stress-strain response simulation curve with the real variable-temperature mechanical property curve, and judging whether the finite element simulation process is accurate or not; thermal field boundary conditions and load boundary conditions of all components of the thermoelectric device are set, design parameters are adjusted, the bearing performance and damage of the adjusted thermoelectric device are analyzed, and the thermoelectric device configuration with the optimal performance is selected. According to the method, the real mechanical response of the thermoelectric material in a high-temperature and high-load service environment is considered, and the structure optimization design of the thermoelectric device is realized.

The present invention discloses a device and method for testing the flow corrosiveness and thermal stability of molten salt, which belongs to the field of thermal property testing of energy storage high-temperature molten salt. The device includes: an experimental test subsystem, a heating constant temperature subsystem, and an information acquisition and control subsystem; the experimental test subsystem includes a W-shaped quartz tube, an air pump, and a molten salt tank; the W-shaped quartz tube includes a vertical first quartz tube, a second quartz tube, and a third quartz tube, and the lower ends of the three vertical quartz tubes are connected to accommodate the high-temperature molten salt to be tested. The present invention detects the dynamic and static thermal stability of the molten salt by detecting the penetration rate of infrared rays through the capillary tube, and can also detect the corrosiveness of the molten salt in two states of long-term immersion and scouring. The detection of molten salt by the present invention is more in line with the working state of the molten salt, with high accuracy, and is intelligent and convenient.

The invention provides a multi-objective structure optimization method and system suitable for a wheel excavator. Comprising the steps that a three-dimensional model which has the same actual size as an experimental test prototype of the wheel excavator and comprises a cab, an upper frame and other related parts is established; and comparing frequency domain response curve results obtained by experimental tests and verifying the accuracy of vibration performance prediction of the finite element model. Sensitivity analysis is carried out, and parts finally used for follow-up multi-target optimization are screened out according to the influence degree on the performance of the multiple targets; and performing test design according to the screened parts to obtain sample points, and importing the sample points into a finite element model for simulation to obtain a sample response data set. And fitting the agent model according to the sample data, optimizing by using a genetic algorithm to obtain an optimal solution, and sorting according to the magnitude of an acceleration root mean square value to select an optimal scheme. And importing the optimal scheme obtained according to the steps into a finite element model, and comparing the optimal scheme with an original scheme to verify the rationality of a new optimization scheme.

The invention provides a multi-physics field transformer noise reduction method and a related device, relates to the technical field of transformers, and aims to solve the problems of complex multi-physics field modeling, low simulation efficiency and low response surface model precision in the prior art. The method comprises the following steps: constructing a transformer multi-physical field coupling simulation model covering a circuit field, a magnetic field, a solid mechanical field and an acoustic field; obtaining noise response data under different structure parameters through simulation; verifying the reliability of a simulation result based on an experimental test; key structure parameters are selected, and a response surface model between the iron core structure parameters and modal response is constructed; and with noise reduction as a target, an optimal structure combination is obtained through optimization by using an optimization algorithm, so that the electromagnetic noise in the operation process of the transformer is suppressed. The method has the advantages of being high in modeling precision, high in analysis efficiency and capable of effectively optimizing the structure, and theoretical basis and support can be provided for design of the low-noise transformer.

The invention provides a bearing outer ring fault diagnosis test parameter setting optimization method, which comprises the following steps of: firstly, accurately acquiring structural parameters of a bearing by utilizing a measuring tool; secondly, testing and calculating the inherent frequency and the damping ratio of the bearing in the installed state through a modal experiment; selecting test working condition parameters according to the actual operation environment of the bearing, and calculating the fault characteristic frequency of the bearing; bearing fault simulation signal band-pass filtering processing is constructed; meanwhile, constructing a fault signal equivalent model; carrying out resonance demodulation analysis on the equivalent model, extracting an envelope spectrum and evaluating a fault diagnosis effect; and finally, circularly adjusting working condition parameters, iteratively optimizing the test working conditions, and selecting the working condition with the maximum fault characteristic frequency amplitude and the minimum noise interference as the optimal test condition. According to the invention, the accuracy and reliability of bearing outer ring fault detection are effectively improved, and powerful support is provided for fault diagnosis of mechanical equipment.

A carbonate rock rough slit acid liquid mass transfer coefficient calculation method comprises the following steps: 1) setting conditions based on carbonate rock rough morphology, and constructing a diffusion boundary layer thickness equation under the rough morphology conditions; and 2) solving to obtain the thickness of the diffusion boundary layer, and calculating the mass transfer coefficient according to the relational expression between the thickness of the diffusion boundary layer and the mass transfer coefficient. The carbonate rock rough slit acid liquid mass transfer coefficient calculation method is provided by considering rough morphology influence, no slippage of the acid liquid and filtration loss, and compared with a plane assumption condition in the prior art, the method is more consistent with a real condition, and the coincidence degree with an experimental test result is higher.

The invention relates to the technical field of experimental testing equipment, and discloses a space node multi-dimensional universal loading device which comprises an axial loading and restraining module, a horizontal loading and restraining module and a vertical loading and restraining module. The spatial node multi-dimensional universal loading device is characterized in that the axial loading and restraining module is composed of an axial bottom beam, a restraining check block, a restraining sliding block and axial loading equipment so as to apply axial force and resist torque. According to the invention, axial force, horizontal force and vertical force can be applied to the node test piece at the same time, so that the test of the node test piece under the simultaneous action of multi-dimensional loads is realized; a restraining sliding block and a restraining check block in the axial loading and restraining module are connected with a bottom beam through foundation bolts, and the positions of the sliding block and the check block can be adjusted through tightness of the bolts so as to adapt to node test pieces with different chord member (main pipe) lengths.

The method for selecting and developing the efficient working medium of the pulsating heat pipe comprises the following steps that a heat transfer model of the pulsating heat pipe in an evaporation section is established and used for calculating the heat transfer rate of the evaporation section of the pulsating heat pipe; obtaining a pulsating heat pipe working medium quality factor calculation formula based on the pulsating heat pipe evaporation section heat transfer rate; the pulsating heat pipes of the same size are adopted, and the quality factors of different working media are calculated based on a working medium quality factor formula; the calculation results of the quality factors of different working media are sequenced, the working medium with the maximum working medium quality factor value in the same temperature zone is selected as the optimal working medium of the pulsating heat pipe, and the quality factors of the optimal working medium are improved by adjusting thermophysical parameters such as the heat conductivity coefficient, the constant pressure specific heat capacity and the surface tension of the optimal working medium of the pulsating heat pipe; and development of a new efficient working medium of the pulsating heat pipe is achieved. According to the method, a researcher can priori select a more efficient pulsating heat pipe working medium before an experimental test, and the test cost is reduced.

The invention discloses a multi-parameter dynamic coupling hydrothermal activity deterministic calculation and quantitative evaluation method which is used for quantitatively evaluating hydrothermal activity in marine shale. The method comprises the following steps: firstly, collecting a typical marine shale sample, and carrying out systematic experimental test analysis, including TOC determination and element content (ICP-MS, XRF) and mineral composition (XRD, FEM-EDS) analysis, to obtain geochemical and mineralogical data of the sample; thirdly, constructing a hydrothermal influence index (HII), and based on the influence of organic matter development on nonlinear enrichment of metal elements, introducing TOC data to perform dynamic threshold adjustment on HII to form an HIIc model; and the existence of hydrothermal activity is further verified by combining the rare earth element Eu abnormity. The method comprises the following steps: constructing a hydrothermal mineral combination index (HMI) through mineral phase equilibrium constraint, and establishing a hydrothermal contribution rate (HCR) model in combination with multivariate parameters; and finally, according to the HCR value and mineral development characteristics, performing quantitative evaluation on the activity intensity of the hydrothermal solution.

The invention provides a shale reservoir grading evaluation method. The shale reservoir grading evaluation method comprises the following steps: acquiring petrology, geochemistry and pore structure parameters of different shale reservoirs by utilizing at least two experimental test methods; calculating a multi-scale fractal parameter of the pore structure of the shale reservoir; according to the obtained petrology, geochemistry, pore structure and multi-scale fractal parameters, reservoir evaluation is conducted, and shale reservoir grading is completed. According to the method, shale reservoir petrology, geochemistry and pore structure parameters are obtained by comprehensively utilizing multiple means, pore structure multi-scale fractal parameters are calculated, reservoir characteristics are evaluated by combining multiple types of parameters, and reservoir grading evaluation is completed; the problem that a single test method or a single calculation method cannot systematically analyze the pore structure of the reservoir, divide the type of the reservoir and carry out reservoir evaluation is avoided, and the accuracy, effectiveness and comprehensiveness of grading evaluation of the shale reservoir are improved.

The invention relates to the technical field of permeability calculation, and discloses a method for predicting the high-temperature permeability of coal underground gasification surrounding rock based on a thermal stress model, which comprises the following steps: collecting samples, and preprocessing the samples to determine mineral components of the samples; carrying out heat treatment on the sample at different temperature levels, and then carrying out experimental testing to obtain parameters of the sample; simulating, coupling and calculating the strain energy of the sample by adopting a finite element method, and calculating the fracture amount by combining the strain energy and the geometrical shape of the fracture at high temperature; and calculating and predicting the high-temperature permeability by using the geometrical shape and the fracture amount of the fracture at high temperature. According to the method, finite element thermal stress simulation and fracture mechanics theories are combined, the stress causing fracture is accurately calculated, the fracture amount is calculated in combination with observation of the geometrical shape of the fracture after high temperature action under a microscopic image, and the fracture seepage rate is calculated based on the fracture amount and discontinuity of sudden change of the high-temperature seepage rate of the geometrical shape of the fracture after high temperature action. And the high-temperature permeability is calculated and predicted, and the method has very strong prediction performance.

The invention relates to the technical field of natural gas extraction, in particular to a casing annular gas channeling simulation test method and device.The method comprises the following steps that S1, a crack is formed in a cement plunger in the radial direction, a rock core plunger with a certain permeability is selected, and the cement plunger and the rock core plunger are filled into a gas channeling channel; s2, well completion fluid is injected into the annular cavity, high-pressure gas is introduced into the bottom of the rock core plunger, and the high-pressure gas sequentially passes through internal holes of the rock core plunger and the cement plunger to enter the annular cavity; and S3, simulating and analyzing the annular air channeling condition of the casing by combining the liquid level height and the pressure change rule along with time in the annular cavity. The characteristics and rules of casing annulus channeling are analyzed according to the change rules of the liquid level height and the pressure in the annular cavity along with time, and therefore selection of the casing annulus snubbing well treatment opportunity and formulation of a treatment scheme are guided. The device provided by the invention is used in combination with the method, so that the casing annular air channeling simulation experiment test can be effectively and reliably carried out.

The invention relates to a scale inhibition coating composition, a coating as well as preparation and application thereof, the scale inhibition coating composition has a good scale inhibition effect, the scaling problem is a big problem which puzzles the liquid transportation and metering industry all the time, scale generation on the surface of a base material is inhibited and slowed down by preparing a coating surface with a special microstructure and lower surface energy, and the scale inhibition effect is good. A good scale inhibition result is achieved through experimental tests.