2107results about "Weighing by removing component" patented technology

The invention discloses an intelligent measurement and calculation method and system for forest carbon reserves, and relates to the technical field of carbon reserve measurement and calculation, and the system obtains a forest electronic distribution diagram through a GIS technology and surveying and mapping data, collects various carbon reserve related data, and then carries out the correction and denoising of the collected data through a FLAASH algorithm and other preprocessing technologies; the AI sampling optimization model extracts forest features based on a convolutional neural network CNN, and dynamically adjusts a sampling area; secondary acquisition is carried out, data preprocessing is carried out, the total carbon reserve of the forest is estimated by calculating the carbon reserve of each grid, and the forest succession stage, the carbon sink change and the ecological carbon cycle are further analyzed; and finally, in combination with the dynamic influence coefficient of the carbon reserves and a preset threshold value Q, judging the change trend of the carbon reserves, triggering early warning and giving a coping strategy.

The invention belongs to the related technical field of microbiological treatment of soil, and discloses a method for improving microbiological sand consolidation strength based on modified plant fibers. Natural plant fibers are subjected to alkali treatment modification, so that non-cellulose components on the surfaces of the natural plant fibers are removed, the roughness and the specific surface area are remarkably improved, the interface friction force and the mechanical connection capacity between the fibers and sand particles are enhanced, more nucleation sites are provided for microorganisms to induce calcium carbonate precipitation, and the content of calcium carbonate is increased. The strength of the solidified sandy soil can be effectively improved, and the biomineralization period is greatly shortened. Meanwhile, after the modified fibers are doped into the sandy soil, a three-dimensional interlaced fiber network structure can be formed in the material in combination with a microorganism induced calcium carbonate deposition (MICP) technology, and the cohesiveness among sand grains and the mechanical property of the overall structure are effectively improved. According to the solidification method, the solidification strength of the sand column is remarkably improved, the technology is simple, green and environment-friendly, and good engineering adaptability and popularization value are achieved in the field of sand solidification.

The invention provides a method for determining a carbon dioxide-water two-phase seepage relative permeability curve and a method for determining reservoir porosity and permeability evolution under the action of carbon dioxide. The method for determining the relative permeability curve of the carbon dioxide-water two-phase seepage comprises the following steps: acquiring the dry weight of a rock core and the mass of the rock core saturated with formation water; under the simulated formation temperature and pressure condition, constant-speed injection of different kinds of fluid composed of saturated carbon dioxide formation water and gas-phase carbon dioxide with different flow ratios is sequentially carried out into a saturated water core; the pressure difference between the two ends of the rock core, the gas-phase carbon dioxide flow and the saturated carbon dioxide formation water flow after the injection pressure is stable in the injection process of various fluids are obtained; then the rock core is blow-dried with CO2, and the mass of the rock core blow-dried with CO2 is obtained; based on the obtained data, the water-phase relative permeability, the gas-phase relative permeability and the water saturation of the rock core are determined respectively when various kinds of fluid are injected, and then the carbon dioxide-water two-phase seepage relative permeability curve of the rock core is determined.

The invention relates to the technical field of boiler pulverized coal on-line detection, and discloses an automatic pulverized coal on-line detection device which comprises a pulverized coal sampling pipe suitable for being communicated with a pulverized coal pipe at an outlet of a coal mill; the screening devices are sequentially arranged in series, the first screening device is communicated with the output end of the pulverized coal sampling pipe, and the last screening device is communicated with an air extracting pump; the number of the weighing balances is multiple, the weighing balances and the screeners are arranged in a one-to-one correspondence mode, and the weighing balances and the screeners which are correspondingly arranged communicate with each other. Through automatic weighing and data recording, personal errors can be reduced, and the automation level of detection and the data reliability are improved. Through the arrangement that the pulverized coal sampling pipe is matched with the multi-stage screening device and the multi-stage weighing balance, the fineness of pulverized coal in the pulverized coal pipe at the outlet of the coal mill can be analyzed in real time, so that an operator is guided to timely and quickly adjust the coal mill in real time by utilizing the fineness analysis, and a boiler is enabled to operate in an optimal state; meanwhile, the cost of pulverized coal is controlled.

The invention provides a method and a system for estimating organic carbon reserve change of soil in a vegetable field in a short time, and belongs to the technical field of soil measurement. The method comprises the following steps: acquiring net ecosystem carbon income and expenditure (NECB); and estimating the organic carbon reserve of the vegetable field soil by using net ecosystem carbon income and expenditure (NECB). According to the method, the organic carbon reserve of the soil in the vegetable field can be quickly estimated, the influence of different farming measures on the organic carbon reserve of the soil in the vegetable field in a short period can be known, and farmers and agricultural managers can optimize management measures such as fertilization, irrigation and planting modes; carbon emission and fixed conditions of a farmland ecosystem can be determined, so that the speed and the degree of climate change can be better predicted, and reasonable vegetable planting management measures can be taken in time.

The invention discloses a method and a system for reflecting a growth state by a spectral curve of a plant leaf under salt mist stress and a storage medium, and relates to the field of plant growth monitoring. Processing the collected leaf image, extracting a leaf main body area, removing an interference part, and matching the filtered original spectral data to obtain target spectral data of the leaf main body area; the method comprises the following steps: combining target spectral data of a leaf main body area with leaf moisture content data, constructing a spectral analysis model by adopting a partial least square method, taking the leaf moisture content as a covariable into the spectral analysis model, peeling off the interference of leaf moisture change on the spectral data, and calculating the leaf moisture content. And finally obtaining a target spectrum curve of the plant leaf under the salt mist stress. A characteristic wave band corresponding to the target spectrum curve is extracted, a plant growth index is constructed according to the characteristic wave band, and the plant growth index is used for reflecting the growth health state of the plant. The problems that traditional monitoring is high in subjectivity, insufficient in precision and low in efficiency are solved.

The method for detecting the comprehensive working performance of the fresh concrete provided by the invention comprises the following steps: pouring the fresh concrete into a certain channel in a detection container which is provided with a plurality of channels and the bottoms of which are communicated with one another, and detecting the comprehensive working performance of the fresh concrete when the liquid level height of the fresh concrete in each channel is kept unchanged, measuring the liquid level height of the concrete in each channel and detecting the quality of the concrete in the container; a discharging opening in the bottom of the detection container is opened, the concrete in the detection container is discharged by means of self weight, in the discharging process, the mass of the discharged concrete or the discharging flow speed of the concrete is measured, and after discharging is completed, a concrete discharging mass-time curve or a concrete discharging flow speed-time curve is obtained; according to a measurement result, a series of indexes including the fluidity, viscosity, uniformity and apparent density of the concrete are obtained through arrangement and conversion and serve as a comprehensive evaluation result of the working performance of the fresh concrete. According to the method, multiple working performance indexes of the concrete can be given at a time, and mutual complementary interpretation can be carried out.

The invention discloses a high-pressure sleeve sheath aging evaluation method and system based on feature unevenness, and belongs to the technical field of high-pressure sleeve operation and maintaining.The method comprises the steps that a to-be-tested high-pressure sleeve sheath is sampled, the interior of a sheath body is selected as a reference area, and meanwhile multiple aging feature areas on the surface of the sheath are selected as aging areas; repairing the sampled insulated damaged area, injecting a nano silicon dioxide modified silicone rubber filler, and performing ultraviolet curing; performing group degradation characteristic test and thermal stability characteristic test on the sampled sample to obtain aging characteristic parameters including characteristic peak absorptivity of each group and thermogravimetric residual rate parameters of different temperature points; taking the aging characteristic parameter of the reference area as a reference value, respectively calculating a single parameter deviation degree of each aging area, and calculating a comprehensive aging non-uniformity value; and according to a comparison result of the comprehensive aging non-uniformity value and a preset grading threshold value, outputting an aging grade of the high-voltage sleeve sheath and a corresponding operation and maintenance strategy.

The invention discloses a full-automatic crushing and detecting all-in-one machine for grain particle materials, which relates to the technical field of detection and comprises a constant volume module, a rice huller module, a microwave heating and moisture measuring module and the like. The constant volume module is used for transferring raw grains sampled at the upper stage, carrying out constant volume treatment through a container with a fixed volume and discarding redundant raw grains, and the rice huller module is used for carrying out hulling treatment on the raw grains, carrying the hulled raw grains and then transferring the unhulled raw grains to the microwave heating and moisture measuring module through the manipulator module; all modules from raw grain feeding to result detection are integrated; and the mechanical arm is used for transition, so that full-automatic operation from raw grain receiving to result output is successfully realized. Materials at different positions in the crushing box can be crushed through the crushing module, so that the contact area is larger during extraction of mycotoxins and heavy metals in the grains, and corresponding food safety index detection is more accurate during detection.

The invention provides an on-line monitoring system for comprehensive working performance of concrete. The on-line monitoring system comprises a concrete drainage device located on a concrete conveying line of a mixing station and a construction bin surface; the detection container is used for collecting concrete and detecting the working performance, and a plurality of detection channels of which the bottoms are communicated with one another are arranged in the detection container; the gate group is used for controlling connection and disconnection of concrete among the passages; the sensing unit is used for measuring the quality of the concrete in the detection container and the liquid level height of the concrete in each detection channel; the data processing and equipment control terminal is used for controlling the gate group, calculating a series of indexes of the concrete according to the data measured by the sensing unit, taking the indexes as detection results, performing abnormal alarm on the detection results, storing and sending the measured data and the detection results; and the cloud platform communicates with the data processing and equipment control terminal. According to the invention, on-line in-situ monitoring, rapid evaluation and alarm feedback of various working performances of concrete can be realized under the condition that on-site pouring construction is not influenced.

Provided is a method for determining huff and puff fluid volumes in multi-scale spaces of shale oil reservoirs, including the following steps: rock sample pretreatment; porosity stress sensitivity testing; high pressure hg injection testing and nuclear magnetic resonance testing benchmarking; online nuclear magnetic resonance testing; data processing and analysis. Firstly, a changing law of multi-scale spaces of shale oil reservoirs with an effective stress is characterized through a pore stress sensitivity measurement and online nuclear magnetic resonance measurement combined experiment, and then the huff and puff fluid volumes of multi-scale spaces of shale oil reservoirs under a condition of a certain stimulated reservoir volume are calculated. A usage amount of a fracturing fluid for a fracturing horizontal well in the shale oil reservoir is determined from the perspective of giving full play to the imbibition replacement role of micro-nano pores.

The invention discloses an intelligent soil classification automation system and method. Comprising a soil sample pretreatment module used for air drying, stirring and weighing treatment; the soil sample particle size grading screening module is used for carrying out step-by-step screening treatment to obtain a first-stage particle distribution result; the liquid-plastic limit automatic measurement module is used for performing measurement by using a conometer method to obtain a measurement result of the conometer method; the burning measurement module is used for carrying out burning treatment to obtain a corresponding burning measurement result; the densimeter measurement module is used for carrying out particle analysis through a densimeter method to obtain a second-stage particle distribution result; and the control analysis module is used for realizing automatic control of the intelligent soil classification automation system and performing data analysis to obtain the soil sample type and the corresponding optimal solidification method. According to the system disclosed by the invention, the whole-process automation and data processing of soil classification testing are realized, and the soil sample type and the corresponding optimal solidification method can be automatically obtained.

The invention relates to the technical field of meat drip loss measurement, in particular to a method and equipment for automatically measuring meat drip loss. Comprising a bottom plate, the top end of the bottom plate is fixedly connected with a constant-temperature box, the top of the constant-temperature box is provided with a cover plate through an up-down adjusting assembly, one end of the bottom of the cover plate is fixedly connected with a hollow shaft, the outer side of the hollow shaft is provided with a multi-layer draining frame, and the bottom of the draining frame is provided with a plurality of hanging rods in parallel at intervals; a weighing sensor is arranged between the top of the hanging rod and the draining frame. According to the method and device for automatically measuring the water drop loss of the meat quality, the cover plate is moved upwards, the cover plate can drive the hollow shaft, the draining frame and the drained water collecting device to move upwards to the position above the constant-temperature box in the upward moving process, then positioning screws are unscrewed, the draining frame and the draining frame rotate around the hollow shaft, and the water drop loss of the meat quality is measured. The draining rack, the hanging rod and the hooks are moved to the outer side, meat hanging operation can be flexibly carried out, the safety is good, and the meat hanging efficiency is higher.

The invention belongs to the technical field of burning detection. The invention provides a cavity structure for firing residue detection, a detection system and a detection method. The cavity structure comprises a test cavity assembly and an upper cover assembly, the test cavity assembly comprises a cavity shell, an inner cavity body and a lifting driving mechanism, the inner cavity body is arranged in the cavity shell, the output end of the lifting driving mechanism is connected with the inner cavity body to drive the inner cavity body to move up and down, and when the inner cavity body ascends and is matched with the upper cover assembly to complete sealing, an inner cavity space for accommodating the test cup and the sample placing disc is formed; when the inner cavity descends and is separated from the upper cover assembly, the test cup and the sample placing disc are exposed in an outer cavity space formed by the cavity shell and the upper cover assembly; the inner cavity body is provided with an inner cavity heating element for heating the inner cavity space, and / or the upper cover assembly is provided with an upper cover heating element for heating the inner cavity space; according to the invention, the problems of long heating time, poor temperature uniformity and low temperature control precision during detection of the firing residues are solved, and the detection precision of the firing residues is greatly improved.

The invention discloses a sealing structure for a test, and an aging test and leakage rate detection method and system. The sealing structure comprises a tested sealing assembly and an air cavity assembly integrated in the tested sealing assembly, and serialized test samples with different filling rates and compression rates are formed by regulating and controlling the groove width and the groove depth of a sealing ring mounting groove so as to simulate various actual sealing states. An aging test adopts a multi-factor coupling accelerated aging method, and a plurality of material characterization means are combined to systematically evaluate the evolution rule of the sealing performance. According to leakage rate detection, static pressure maintaining and dynamic pressure adjusting dual-mode measurement is achieved through an air tightness detector, and the sealing characteristics under different pressure conditions are comprehensively reflected. According to the invention, direct and systematic detection of the leakage rate of the sealing structure is realized, and an innovative solution is provided for sealing performance evaluation and service life prediction of electrical equipment.

The invention belongs to the technical field of forest surface combustible moisture content monitoring, and discloses a forest surface combustible moisture content measuring device. The device for measuring the moisture content of the combustible matter on the forest ground surface comprises a sampling component, a detection component and a control component, wherein at least part of one end of the sampling component extends into the forest ground surface; the information detection, processing and control component forms a ground surface layer of combustible materials to be processed; the process treatment part is used for treating the ground surface layer of the combustible to be treated to form treated combustible residues; a weighing part; and the information detection, processing and control part obtains the moisture content of the forest ground surface combustibles according to the weight information obtained by the weighing part. According to the measuring device for the moisture content of the forest surface combustible, the device is more convenient to carry and operate due to the small-sized design, stage monitoring is carried out on the weight change of the to-be-treated combustible before and after surface layer treatment, and the moisture content of the forest surface combustible is rapidly and accurately measured.

The invention discloses a multi-scale performance evaluation and optimization method and device for well cementation cement stone, and relates to the technical field of oil exploitation, the well cementation cement stone is subjected to nanoindentation test and scanning electron microscope microstructure test, and a mechanical property-microstructure test result is obtained; performing electronic computer tomography and mercury injection test on the well cementation cement stone, and constructing a pore network three-dimensional model; performing triaxial mechanical property test, thermogravimetric analysis and thermal expansion test on the well cementation cement stone to obtain a thermal-mechanical coupling test result; performing X-ray diffraction and X-ray fluorescence spectrum analysis on the well cementation cement stone to obtain mineral phase information and element information of the cement stone; according to the method, a mechanical property-microstructure test result, topological parameters, a thermal-mechanical coupling test result, cement stone mineral phase information and element information are fused, an optimal design scheme for target well conditions is generated, multi-dimensional performance testing and characterization are achieved, and an accurate basis is provided for well cementation cement stone optimal design and quality control.

The invention provides a method for determining microcosmic characteristic influence factors of a shale reservoir. The method comprises the steps of rock core observation, sampling and experiment, and lithofacies type division according to rock core observation and experiment results; performing characteristic evaluation on different types of lithofacies, and determining favorable lithofacies types; analyzing reservoir microscopic characteristics of different types of lithofacies; and according to an analysis result, determining factors influencing the microscopic characteristics of the reservoir. According to the method, favorable lithofacies and reservoir microscopic feature analysis can be comprehensively and effectively carried out, the evaluation accuracy is improved, and the accuracy is improved by 40% and reaches 90%; the working efficiency is improved, invalid work is avoided, the workload of two persons in 10 days is reduced to be completed by one person in 10 days, and lithofacies evaluation and reservoir microscopic feature influence factor analysis can be efficiently completed.

The invention discloses a shear strength parameter determination method considering earthquake action, which comprises the following steps: collecting a soil sample of a research area, air-drying, dispersing the soil sample into single particles, and sieving to obtain the stone content of the soil sample; the method comprises the following steps: preparing a compacted cylindrical sample from a soil sample, and placing the compacted cylindrical sample in a triaxial testing machine for a triaxial test to obtain static strength parameters of the soil sample; collecting seismic magnitude data of the research area, and determining the seismic magnitude of the research area; and according to the stone content, the static strength parameter and the earthquake magnitude, calculating the shear strength parameter of the research area under the earthquake action by adopting a shear strength damage cracking model. Based on PFC numerical simulation software, dynamic triaxial numerical simulation of the accumulation body is carried out and compared with an indoor test result, the change rule and numerical value of the numerical simulation result are close to those of the indoor test result, the parameter error is smaller than 50%, and the reasonability of the established accumulation body sample model and the calculated dynamic strength parameters is verified.

The invention discloses a rapid solid content detection device which is characterized in that a mounting plate is fixedly arranged on an outer supporting shell, a telescopic rod is arranged on the mounting plate, a movable shaft barrel is arranged on the telescopic rod, and an extrusion plate is fixedly arranged at one end, far away from the telescopic rod, of the movable shaft barrel; the stirring mechanism is telescopically and rotatably arranged in the moving shaft barrel in a penetrating manner, and the driving assembly is arranged on the stirring mechanism and can drive the stirring mechanism to rotate; the first rack and the limiting block are slidably arranged on the mounting plate, and the limiting block can limit the position of the first rack; the driven mechanism is arranged on the stirring mechanism, the pushing mechanism is telescopically and fixedly arranged in the movable shaft barrel, and the first rack can drive the driven mechanism to rotate in one direction through rising of the movable shaft barrel, so that the pushing mechanism extends to extrude the stirring mechanism, and the stirring mechanism extends. According to the rapid solid content detection device, the stirring mechanism can be folded when the sewage is extruded, and the stirring mechanism extends out when the stirring mechanism is lifted, so that more sewage can be extruded.

The invention relates to the field of hole sealing agent quality detection, in particular to a nickel-free medium-temperature hole sealing agent drying abrasion resistance detection device and method based on visual image intelligent sensing, and the device comprises a rack which is provided with a visual detection device and a rotating frame capable of rotating; the two sets of supporting structures are rotationally installed on the rotating frame, each supporting structure comprises a plurality of sets of first arc-shaped pieces and second arc-shaped pieces which are circumferentially arranged at equal intervals, and the first arc-shaped pieces and the second arc-shaped pieces can form a cylindrical structure; when the rotating frame rotates, one set of cylindrical structures can be kept in a first state or a second state, and when the cylindrical structures are in the first state, the annular abrasive paper can be driven to rotate; the traction assembly is connected with the first arc-shaped pieces and the second arc-shaped pieces, in the second state, the traction assembly can drive the multiple sets of second arc-shaped pieces to move close to one another, after the second arc-shaped pieces move by a preset distance, the multiple sets of first arc-shaped pieces are driven to move close to one another, and the detection process is simplified.

The invention discloses a method for segmenting different strata series of stratified shale and identifying oiliness, and belongs to the field of oil-gas exploration. The invention discloses a strata division method based on XRF (X-Ray Fluorescence) mineral scanning and single polarization-fluorescence-laser confocal optical lens combined observation, which realizes accurate identification and segmentation of micron-sized strata boundaries of a layered rock core sample from different scales, and performs group component extraction on segmented independent strata. And carrying out chromatography-mass spectrometry analysis and FT-ICR MS analysis on the extracted saturated, aromatic, non-aromatic, leached and other family components. The TSF spectrum, light and heavy components, biomarker compounds, non-hydrocarbon compounds and other data obtained through the experiments are comprehensively analyzed, layering scale oiliness difference quantification and oil source comparison are achieved, and the shale oil micro-migration phenomenon is determined. The influence of the heterogeneity of the layered rock core sample on a result obtained by a traditional analysis method is overcome. According to the technology, direct evidences are provided for accurate prediction of shale oil desserts, exploration risks are reduced, and economic benefits are improved.

The invention relates to the technical field of short fiber rate detection, in particular to anti-interference cotton short fiber rate detection equipment and a detection method thereof.The anti-interference cotton short fiber rate detection equipment comprises a workbench and sample cotton wool placed on the workbench, and further comprises a material distributing assembly which comprises an upper material distributing plate movably installed above the workbench, and a lower material distributing plate is installed on the workbench in a sliding mode; and the detection assembly comprises a detection frame movably installed above the workbench, a plurality of first electrostatic rods are fixedly installed on the bottom wall of the detection frame, a plurality of second electrostatic rods are slidably installed on the bottom wall of the detection frame, and the first electrostatic rods and the second electrostatic rods are used for sucking the sample cotton velvet on the lower material distribution plate. Scattered single cotton velvets are picked up in an electrostatic adsorption mode, the two electrostatic rods are used for straightening the cotton velvets, unqualified cotton velvets can only be adsorbed by one of the electrostatic rods, then the two electrostatic rods are disconnected to enable the unqualified cotton velvets to lose the adsorption effect and fall into the collecting tank, the cotton velvets are prevented from being pulled broken, and the detection precision is improved.

The invention discloses a loess collapsibility evaluation method and system based on a geophysical prospecting test technology, and relates to the field of land exploration, and the method comprises the steps: laying regular detection grids in a to-be-evaluated loess site, and constructing a site geographic coordinate system; collecting Rayleigh wave signals in real time, inverting a transverse wave velocity profile, and collecting apparent resistivity data; a shallow soil sample is drilled, soil property parameters are measured, and a model is constructed according to the mapping relation between the field geophysical prospecting parameters and the soil property parameters; inputting the acquired data into the wave velocity-water content correlation model and the resistivity-dry density correlation model to generate a water content distribution field and a dry density distribution field; and calculating the collapsibility of loess in each detection grid based on a geophysical prospecting response equation of the collapsibility coefficient, outputting a collapsibility coefficient contour cloud picture, and judging the collapsibility grade of each grid and the distribution range of collapsed loess. The method has the advantages that the collapsibility distribution field and the contour cloud picture are generated through accurate non-intrusive data acquisition and model analysis, and a scientific basis is provided for engineering construction.

The invention relates to an automatic calibration device and method for continuously monitoring smoke dust concentration, and belongs to the technical field of environment monitoring. The device comprises a drying device, a dynamic heating system, a receiver and a radioactive source, a drying position, a sampling position and a detection position are sequentially arranged from left to right or from right to left; wherein the position where the drying device is located is a drying position, the lower portion of an exhaust pipe wrapped by the dynamic heating system is a sampling position, and the middle position where the receiver and the radioactive source are located is a beta-ray intensity detection position; and calculating the concentration of the smoke dust to be measured by adopting a smoke dust concentration automatic calibration algorithm according to the measured beta-ray intensity and sampling flow. According to the invention, long-time, high-precision, continuous and reliable operation of the light scattering smoke dust concentration continuous monitoring instrument can be ensured.

The invention belongs to the technical field of evaporation residue detection. According to the cavity mechanism, the detection system and the detection method for evaporation residue detection, an upper cover assembly is provided with a sample placing opening used for filling a sample and a cup taking opening used for taking a test cup for weighing, opening and closing of the sample placing opening are controlled through a front cover assembly, so that only part of the test cup is exposed when the sample is filled; the problems that the test cavity side opening cover cannot accurately and quantitatively inject the sample liquid and the injection pipe cannot be cleaned are solved, and the influence on other test cups during sample injection is avoided; opening and closing of the cup taking opening are controlled through the cup taking opening cover assembly, so that during weighing testing, only a to-be-weighed testing cup is exposed every time, the influence on other testing cups during weighing is avoided, and through arrangement of the sample placing opening and the cup taking opening, the environmental influence is effectively avoided, and the testing precision is improved.

The application belongs to the technical field of animal models for basic scientific research, and particularly relates to a method for establishing an acute lung injury animal model, which comprises the following steps: sending a podophyllotoxin or a podophyllotoxin reagent into a rat body through oral administration or intragastric perfusion to obtain the acute lung injury animal model. The method for establishing the acute lung injury animal model provided by the application uses the podophyllotoxin as an inducer for establishing a mouse acute lung injury model, and the mouse can orally take or intragastrically perfuse the podophyllotoxin to achieve the method, without needing a special medicine injection device, so that the method is simple in medicine taking, few in experimental steps, and does not need complex surgical operations.

The invention belongs to the technical field of dry pulverized coal gasifiers, and discloses an experimental method for CaO to catalyze high-temperature coke high-pressure gasification reaction under different atmospheres, which comprises the following specific steps: step 1, preparing experimental raw materials and pretreating to select representative coal types; the diffusion environment of the industrial gasifier is simulated by establishing a cooperative regulation and control mechanism of pressure, gas velocity and pore structure, the thickness of a boundary layer is calculated according to the Fick diffusion law, a diffusion resistance quantitative relational expression is constructed for dynamic correction, and a variable diffusion strength experimental group is designed to quantify diffusion contribution. The diffusion and reaction rate ratio is quantitatively evaluated through a Weber number model, a catalysis and blank control synchronous experiment is carried out at the same time, a catalysis efficiency factor is calculated, a catalysis-diffusion synergistic phase diagram is drawn, and a reaction control region, a diffusion control region and a transition region are definitely defined; and the risk that the reaction stagnation caused by the fact that the high-pressure diffusion retardation effect is misjudged as catalytic activity attenuation or pore collapse is mistakenly attributed to catalyst deactivation is eliminated.

The invention relates to a grain unmanned sampling quality inspection device and process, and belongs to the technical field of grain detection, and the grain unmanned sampling quality inspection device comprises a sampling mechanism used for sampling grains; the reserved sample packaging machine is used for packaging the reserved sample grains; the sample mixing and separating machine is respectively connected with the sampling mechanism and the reserved sample packaging machine and is used for mixing and separating the grains sampled by the sampling mechanism, and the reserved grains are conveyed to the reserved sample packaging machine to be packaged; an impurity unmanned inspection machine; an unmanned intelligent inspection machine; the inspection result inquiry machine is used for acquiring grain quality information; and the pneumatic conveying mechanism is used for conveying grains. Compared with a traditional manual or semi-automatic inspection mode, the inspection efficiency is greatly improved, manual intervention is reduced, and the labor intensity is reduced.

The invention provides a graphitization furnace comparison verification temperature measurement method and system and a medium, and the method comprises the steps: obtaining the parameter information of a graphitization furnace, and setting a plurality of infrared high-temperature thermodetectors and a plurality of memory graphite rods; collecting real-time temperature data of the furnace core area, and analyzing and processing the real-time temperature data to obtain infrared temperature measurement data; taking out the plurality of memory graphite rods from the graphitization furnace, and carrying out multi-dimensional measurement analysis on the memory graphite rods based on a plurality of measuring instruments to obtain burning loss degree quantitative data; performing maximum temperature inversion on the memory graphite rods placed at different positions of the furnace core area based on the burning loss degree quantitative data to obtain maximum temperature distribution conditions of different positions of the furnace core area; the infrared temperature measurement data and the highest temperature distribution condition of the memory graphite rod are compared and verified, and the real temperature of the furnace core area is obtained; through combination of the infrared high-temperature measuring instrument and the memory graphite rod, cross validation is realized, and the accuracy of a temperature measurement result is improved.