2879results about "Flow properties" patented technology

The invention relates to the technical field of livestock breeding, in particular to a cow manure automatic scoring system and method.The cow manure automatic scoring system comprises an image acquisition unit, a physical property sensor, a chemical component detection module and a data processing unit.The image acquisition unit is used for capturing the form, color and fiber residue of manure; the physical property sensor is used for measuring the water content of excrement and evaluating the viscosity and hardness of the excrement; the chemical component detection module comprises a near infrared spectrum analysis unit and an electrochemical sensor unit; and the data processing unit is used for integrating an AI algorithm, realizing multi-source data fusion and scoring, and uploading the data to the cloud management platform through the communication module. Therefore, the problems that in the prior art, manual scoring is subjective, low in efficiency and difficult to quantify, diseases are difficult to find early due to the lack of rapid component detection means, and accurate nutrition regulation and control are difficult to achieve due to the fact that scoring data are difficult to integrate into a breeding system are solved.

The invention discloses an aluminum electrolytic capacitor state evaluation method and device, and the method comprises the steps: carrying out the frequency scanning measurement of an electrolyte and oxidation film interface, and obtaining the change data of an interface polarization current phase angle along with the frequency; measuring fluid dynamic characteristics of the electrolyte according to the polarization characteristic parameters, and detecting micro-flow response characteristics; according to the flow distribution data and the evolution data, applying a voltage sequence to carry out ion migration kinetic analysis; carrying out microstructure analysis in a preset temperature change process according to the ion distribution characteristics; and according to the structure change data and the dielectric response data, analyzing the change characteristics of the molecular level, the bubble distribution and the overall performance to obtain a stability evaluation result. According to the technical scheme, through multi-dimensional analysis of the interface polarization characteristic, the fluid dynamic characteristic, the ion migration dynamics and the microstructure change of the electrolyte, effective detection of bubbles and layering phenomena in the electrolyte is realized, and accurate evaluation of the performance state of the capacitor is facilitated.

The invention relates to the technical field of multi-sensor fusion, in particular to a detection method and system for silicon steel magnesium oxide adhesiveness. Particulate matter matching analysis is carried out based on the corresponding magnesium oxide coating particle condition and the silicon steel surface condition; the particle bonding effect is evaluated based on the particle matching analysis result and the fluidity condition of the coating in the scene, and the magnesium oxide adhesion quality is predicted based on the evaluation result of the particle bonding effect and the shaking condition of the equipment in the coating process. The characteristics of the coating, the surface condition of the silicon steel, the coating environment, dynamic factors in the coating process and the like are comprehensively considered, the adhesiveness of magnesium oxide is evaluated and analyzed from multiple dimensions, and the multi-dimensional analysis method provides a more scientific and more accurate evaluation means for the silicon steel coating technology.

The invention provides an aluminum enameled flat wire online defect detection and self-adaptive deviation correction method and system, and relates to the technical field of enameled wire defect detection.The aluminum enameled flat wire online defect detection and self-adaptive deviation correction method comprises the steps that an aluminum enameled flat wire is immersed in fluid with set viscosity, and a reference fluid resistance signal and a reference electromagnetic signal are collected; fluid resistance signals and electromagnetic induction signals are detected in real time; positioning defect positions of surface defects of the enameled wire; identifying types and distribution of internal defects of the aluminum enameled flat wire; distinguishing defect types through a machine learning algorithm; outputting a corresponding correction scheme through the pre-trained neural network model; and outputting the deviation correction control signal to the correction module for deviation correction operation. Through synchronous acquisition and analysis of fluid resistance signals and electromagnetic induction signals, synchronous detection of surface defects and internal defects is realized, and the limitation of a traditional single detection means is solved; by forming a high-precision three-stage classification system, an interpretability report is generated, and the classification accuracy of the composite defects is remarkably improved.

The invention discloses a grinding concentration measuring device for soybean milk powder processing, and relates to the technical field of soybean milk powder processing equipment. The system comprises the following components: a sampling unit, a spectral analysis unit, a rheological detection unit, a data processing and control unit, and a display and alarm unit. The invention adopts a dynamic adaptive flow algorithm through the sampling unit, and can adjust the sampling flow according to the real-time characteristics of the soybean milk sample to ensure the representativeness and accuracy of the sample. The spectral analysis unit and the rheological detection unit respectively use spectral detection technology and rheological characteristic measurement technology to deeply analyze the composition and rheological characteristics of the soybean milk sample. The data processing and control unit adopts a fusion intelligent algorithm to efficiently process and analyze the collected data, and finally calculates the accurate grinding concentration. This process not only improves the accuracy of the measurement, but also significantly improves the measurement efficiency, and provides strong technical support for the soybean milk powder processing process.

The invention relates to the technical field of lubricant analysis, in particular to a gearbox lubricating oil product state intelligent recognition system and method, and the system comprises a lubricating oil state parameter collection module, a multi-dimensional feature fitting degree classification module, a spectrum pollutant dynamic detection module, a state change trend storage module and a lubricating oil abnormal deviation early warning module. According to the method, the lubricating oil state features are accurately extracted by constructing a multi-dimensional feature matrix and high-dimensional space mapping, the fitting degree weight and the data scale are combined to adjust, optimize and classify, the state recognition precision is improved, the pollution change is recognized through trend analysis in dynamic spectrum pollutant detection, and the monitoring sensitivity is improved. A data storage strategy driven by parameter change ensures the integrity of high-value data and reduces invalid storage, an offset calculation method is combined with data trend comparison to improve the recognition accuracy of an abnormal state, and misinformation and missing report are reduced.

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 utility model discloses an asphalt concrete fluidity detection device which comprises a bottom frame, one side surface of the bottom frame is fixedly connected with an integrated control box, one side surface of the integrated control box is movably connected with a limiting assembly, and the upper end of the limiting assembly is provided with a detection assembly. According to the utility model, the material carrying cylinder is placed in the placing groove of the bottom frame, and the sliding plate is lifted and pressed to the upper end of the material carrying cylinder, so that the three main frameworks are tightly buckled in the three positioning clamping grooves, and the three auxiliary frameworks are tightly buckled in the three positioning clamping grooves; the surface of one side of the connecting ring is attached to the surface of one side of the material loading barrel, the detection main rod is limited by the limiting ring and the limiting ball, it is ensured that the drop hammer vertically falls, a more accurate mobility test result is obtained, system errors and random errors caused by deviation are integrally reduced, and the detection accuracy is improved. The resistance applied to the asphalt mixture is uniform and consistent when the asphalt mixture passes through the asphalt mixture, so that the fluidity of the mixture is reflected more accurately.

The invention relates to the technical field of asphalt performance analysis, in particular to a method for detecting and analyzing physical properties of polymer modified asphalt. According to the invention, the collected asphalt sample is subjected to pretreatment means of vacuum degassing, multi-angle image bubble monitoring and constant-speed stirring, the uniformity of the asphalt sample is judged according to physical state parameters at different positions, the reliability of subsequent detection data is further improved, and a plurality of uniformly-divided target asphalt samples are respectively placed in the constant-temperature containers; the method comprises the following steps: recording the heat conduction temperature of each target asphalt sample at different monitoring points in a constant-temperature water bath in real time, carrying out penetration detection on each target asphalt sample after the sample reaches heat balance, carrying out penetration index analysis according to the incidence relation between the temperature and the penetration, and evaluating the physical properties of the polymer modified asphalt based on the penetration index. The penetration data under different temperature gradients can be accurately obtained, the physical properties of the polymer modified asphalt can be comprehensively and accurately evaluated, and a reliable basis is provided for engineering quality control.

The invention discloses a micro-disturbance in-situ geological multi-parameter intelligent monitoring device which comprises a driving mechanism, a plurality of sections of modularized protection tubes, a marker post and a plurality of monitoring modules. The driving mechanism is installed on the ground so as to be used for inserting or pulling the multiple sections of protection pipes which are detachably connected in sequence into or out of reserved standard holes in the ground. The centers of the multiple sections of protection pipes communicate with aligned protection holes, and the mark post is suitable for being inserted into the bottom of the mark hole along the protection holes for monitoring. The multiple monitoring modules are correspondingly installed on the protection pipes, the protection pipes are opened at the set installation positions, and then the installed monitoring modules are inserted into the soil on the side portions of the standard holes. The range pole has the beneficial effects that a stable protection space is formed by opening the protection pipe, and the installation stability of the range pole and the accuracy of data monitoring are guaranteed. Meanwhile, the protection tube is opened to drive the monitoring module to be inserted into the soil so as to monitor the fluidity of the soil at different depths of the standard hole; therefore, the accuracy of data acquisition is ensured while monitoring of different geological parameters is realized.

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.

The invention relates to the technical field of road and bridge pavement detection, in particular to a road and bridge asphalt pavement detection device. Comprising a paver and further comprises a viscosity detection mechanism, the viscosity detection mechanism comprises an installation frame, the paver is fixedly connected with the installation frame, an electric push rod is installed at the bottom of the installation frame, the telescopic end of the electric push rod is fixedly connected with a [-shaped frame, the bottom of the [-shaped frame is fixedly connected with an elastic telescopic shaft, and the telescopic end of the elastic telescopic shaft is fixedly connected with a detection plate. And the detection plate is in sliding connection with the n-shaped frame. Through the design of the viscosity detection mechanism, when asphalt is laid, a detection plate is inserted into an asphalt mixture, the asphalt mixture can be adhered to the detection plate according to the viscosity characteristics of new asphalt and recycled asphalt, and the viscosity of the asphalt mixture can be detected by observing the scales on the top surface of the detection plate and in the [-shaped frame. According to the method, the blending proportion of the asphalt mixture can be judged, so that performance reduction of the asphalt mixture caused by excessive new asphalt or recycled asphalt in the asphalt mixture is prevented.

The invention relates to the technical field of crude oil detection, in particular to a production place tracing method and system based on big data, and the method provided by the invention comprises the steps: obtaining spectral variation characteristics, calculating spectral variation characterization parameters for current to-be-detected crude oil, and determining the spectral variation category of the current to-be-detected crude oil. According to the spectrum variation characterization parameters, determining the beam diameter and the sample scanning time when spectrum analysis is carried out on the crude oil to be detected, determining spectrum data obtained in a preset time, and comparing obtained spectrum data fragments after the spectrum data is segmented in a time domain dimension, whether spectral analysis meets the standard or not is judged according to the similarity between the spectral data fragments, so that the scanning speed of the spectrograph is adjusted, the spectral data are obtained again and stored, or initial operation parameters of the spectrograph are maintained, and the spectral data are obtained and stored; the origin of the current crude oil to be detected is traced according to the similarity comparison result of the stored spectral data and the spectral data of the samples corresponding to the origin, so that the traceability accuracy is improved.

The invention discloses a lithium ion battery mixed slurry viscosity detection method based on lithium iron phosphate. The method comprises the steps of slurry pretreatment and parameter initialization, multi-modal data acquisition, dynamic viscosity compensation model construction, rheological property prediction, abnormality diagnosis and online feedback control. The temperature, the shearing rate, the solid content and the rheological curve of the slurry are acquired in real time through a multi-sensor fusion technology, a dynamic viscosity compensation model is constructed in combination with the characteristics of the lithium iron phosphate material, and a rheological prediction algorithm based on machine learning is introduced, so that high-precision and nondestructive online detection is realized. The influence of particle size distribution and temperature drift is eliminated through material characteristic modeling, and the measurement precision is further improved; and an ultrasonic wave and near infrared combined detection mode is adopted, so that the slurry structure is prevented from being damaged by a traditional sampling method, viscosity abnormity self-diagnosis and process parameter real-time feedback are realized, and the rejection rate is reduced.

The invention provides a system and method for detecting free carbon particles in transformer oil based on a microelectrode array, and the system comprises a sampling module which comprises an oil inlet pipeline and a filtering device, an oil sample is conveyed to a microelectrode array sensor module from a transformer oil tank through the oil inlet pipeline, and the filtering device is located in the oil inlet pipeline; a filter membrane is arranged in the filter device to remove impurities in the oil sample; the microelectrode array sensor module comprises a microelectrode array sensor, the microelectrode array sensor is nanoelectrodes arranged on a silicon substrate, the surface of the microelectrode array sensor is coated with graphene oxide to adsorb free carbon particles in an oil sample, and when the free carbon particles are adsorbed to the surface of the microelectrode array sensor, an adsorption signal is generated; and the signal processing unit is used for extracting the characteristic frequency and intensity of the vibration of the carbon particles in the adsorption signal, and classifying the carbon particles according to the characteristic frequency and intensity of the carbon particles. The device is compact in structure, the maintenance cost is reduced, and the operation process is simplified.

The utility model provides an on-line rotary viscometer, which belongs to the technical field of viscosity measuring instruments and comprises a measuring chamber, a rotor, a stator, a driving component and a detecting piece, and the measuring chamber is suitable for being communicated with a pipeline to be measured; the rotor is arranged in the measuring chamber, the rotor is of a cylinder structure with a cavity inside, and a plurality of liquid inlet grooves communicated with the cavity are formed in the side wall of the rotor; the stator is rotatably arranged in the cavity, and a medium channel is arranged between the stator and the rotor; the driving assembly is connected with the rotor, a medium flowing through the medium channel can rotate around the stator under the rotating action of the rotor, and the rotating medium can drive the stator to rotate or drive the stator to generate a rotating trend; the detection piece detects the viscous torque borne by the stator during rotation. According to the online rotary viscometer provided by the utility model, the rotation of the stator is driven by a medium without friction loss caused by a transmission process, so that the viscous torque during the rotation of the stator is accurately obtained, and the accuracy of a result is improved.

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

A chamber, e.g. in a heat exchanger or flowing electrolytic half-cell, for through flow of a fluid which is capable of elastic turbulence has an internal structure with obstructions to compel flow to undergo successive changes of direction thereby applying stress to the flow of fluid through the chamber. The internal structure comprises an upstream portion in which the applied stress induces elastic turbulence to begin and a downstream portion which applies less stress per unit length and sustains the elastic turbulence while providing economy of pressure to propel the fluid. Configuration of the upstream portion may be planned with computer modeling so as to avoid formation of stagnant zones.

The utility model discloses a flow-state solidified soil flowability testing device, which belongs to the technical field of civil engineering testing, and comprises a base, a supporting disc is clamped in the middle of the top surface of the base, a measuring mechanism is arranged on one side of the base, a filler cylinder is arranged right above the supporting disc, and a flow-state solidified soil flowability testing device is arranged on the filler cylinder. A supporting disc is fixedly connected to the top surface of the filling barrel, a pair of handles is fixedly connected to the side edge of the supporting disc, the filling barrel is filled with a flow-state solidified soil body, an inner ring is fixedly connected to the center of the top surface of the supporting disc, and an outer ring is fixedly connected to the position, close to the side edge, of the top surface of the supporting disc. The slump and expansion degree of the fluid-state solidified soil can be rapidly measured, the measurement efficiency is improved, the supporting assembly is arranged, the fluid-state solidified soil modules can be rapidly replaced, and therefore the multiple fluid-state solidified soil modules can be conveniently measured, and the measurement efficiency is further improved.

The invention provides a soft soil stratum slurry balance shield slurry feeding / discharging pipeline slurry flow test system. The system comprises a slurry circulation pipeline, monitoring equipment, a soil body cutting simulation system, a PIV-based visualization device, an analysis system and a control system. The slurry circulating pipeline comprises a slurry tank, a vortex pump and a slurry conveying pipe; the monitoring equipment comprises a plurality of sensors; the soil body cutting simulation system is used for simulating a shield excavation working condition; the visual device based on PIV is used for recording a visual flow field of slurry flowing in the slurry conveying pipe in real time; the analysis system is used for macroscopic and microscopic analysis; and the control system controls equipment power in the system. The device and the method can simulate the working conditions of most slurry balance shield slurry discharge pipelines and record macro and micro evaluation indexes in the slurry flowing process, so that the flowing property and the slag carrying capacity of slurry in the slurry feeding / discharging pipelines under different stratum conditions are explored, and the device and the method are low in cost, high in operability and high in compatibility.

The invention discloses a multi-physics coupling viscosity calibration method for a large and heavy hydrostatic pressure rotating table, and belongs to the technical field of fluid mechanics modeling and high-end equipment manufacturing. According to the calibration method, a temperature control / high-pressure rotational rheometer is adopted to obtain experimental data, and experimental verification shows that the average prediction error of the model under the ultrahigh pressure (1000 MPa) and the wide temperature range (20-80 DEG C) is controlled within 10%, and the model is remarkably superior to traditional Arrhenius and Barus models (the error is 40% or above). Theoretical support is provided for oil film dynamic characteristics, bearing capacity optimization and real-time control of a large and heavy hydrostatic pressure system, and the method is suitable for various lubricating media such as mineral oil, synthetic oil and nanofluid and can be widely applied to precision machining and intelligent control in the field of high-end equipment manufacturing.

The invention discloses a wafer cleaning liquid concentration dynamic monitoring system, and belongs to the technical field of semiconductor manufacturing. Aiming at the problems of large single parameter measurement error, poor equipment adaptability and frequent maintenance in the prior art, the invention provides a multi-physics field fusion detection scheme: acquiring ion concentration characteristics through a multi-frequency conductivity detection module (0.1 kHz to 10MHz), eliminating environmental interference in combination with a temperature-viscosity joint compensation module, and calculating the concentration of the ion in the multi-frequency conductivity detection module. An optical refractive index auxiliary verification module is used to realize cross verification, and a CNN-LSTM fusion model optimized by transfer learning is used to improve cross-device prediction precision. According to the innovativeness of the system, an anti-corrosion annular electrode array (titanium alloy iridium-plated) supports dynamic distance adjustment and pulse self-cleaning, an ultrasonic defoaming unit (1-3 MHz frequency self-adaption) restrains bubble interference, and a self-calibration module triggers online maintenance based on the conditions of the electrode impedance change rate (larger than or equal to 5%), temperature fluctuation and the like. Experiments show that the concentration measurement precision is improved to + / -0.5%, the HF / O3 rate ratio is controlled to be (1: 2.5 + / -0.3), the number of residual particles on the surface of the wafer is smaller than or equal to 5 per square inch, the service life of the electrode is prolonged to 8 months, and the yield is improved by 0.6%. The method is suitable for a wafer production line of 12 inches and above, and has the advantages of high precision, strong anti-interference and low maintenance cost.

The invention relates to the technical field of mortar detection, and discloses a mortar consistency detection device, which comprises a bottom plate, the top of the bottom plate is fixedly connected with a placing seat, the top of the placing seat is provided with a conical cylinder, the bottom of the conical cylinder is provided with a hexagonal hole, the top of the placing seat is fixedly connected with a fixing rod, and the fixing rod is fixedly connected with the bottom of the conical cylinder. The top of the fixing rod is fixedly connected with a supporting ring, the supporting ring makes contact with the outer wall of the conical barrel, a flattening mechanism is arranged on the containing base, and the flattening mechanism comprises a low-speed motor, a rotating rod, a hexagonal block, a fixing block, a first rotating shaft, a fixing plate, an adjusting bolt, a limiting groove, a lifting plate, a limiting rod, a sliding block and a flattening plate. Through mutual cooperation of the low-speed motor, the rotating rod, the hexagonal block and the hexagonal hole, the conical cylinder is driven to rotate at a low speed, so that various components of mortar are distributed more uniformly in the cylinder, abnormal stress of a cone caused by non-uniform components of the mortar is avoided, and a detection result is more accurate.

A method of monitoring a condition prevailing inside a piping system with respect to an impairment due to accretion, abrasion or corrosion caused by fluid(s) flowing through the piping system is disclosed, comprising the steps of: installing at least two measurement devices susceptible to an impairment and configured to measure variables indicative of the impairment; wherein the measured variables include at least two variables exhibiting a different dependency on the impairment; continuously recording data including time series of measured values of the variables measured; based on training data included in the data determining a dynamic reference behavior of the variables corresponding to time dependent distributions of values of the variables to be expected of the measured values when the measurement devices are unimpaired; repeatedly determining a deviation between a monitored behavior of the measured values of the variables and the reference behavior.

The invention relates to the technical field of raw milk detection, and discloses an automatic detection device for a raw milk sample, and the automatic detection device comprises a mechanical arm mechanism, an information acquisition mechanism, an incubation mechanism, a detection mechanism and a control mechanism. According to the embodiment of the invention, by arranging the mechanical arm mechanism, the mechanical arm mechanism can be used for automatically taking the sample, so that manual operation is not needed. By arranging the incubation mechanism, batch incubation and batch cleaning of the sample cups can be carried out, ultrasonic treatment can be carried out, the incubation rate and the cleaning rate are increased, and the cleanliness of the sample cups can be improved. Furthermore, according to the embodiment of the invention, the detection mechanism is arranged, so that the samples can be detected in batches, various items such as a raw milk viscosity item, a raw milk bacterial colony total number item and a raw milk somatic cell item can be detected at the same time, and compared with the current manual single item detection, the detection efficiency can be obviously improved.

The invention relates to the technical field of rock mass engineering, in particular to a soft rock structural surface permeation grouting evolution analysis method which comprises the following steps: performing a steady-state shear thinning inversion test on target slurry by using a rotational rheometer to obtain slurry performance parameters; a permeation grouting displacement test is conducted on the soft rock structural surface, and grouting parameters in the grouting process are obtained; determining grouting main section parameters of the soft rock structural surface, and constructing a grouting diffusion numerical value prediction model based on the grouting main section parameters; based on the slurry performance parameters, the grouting parameters and the grouting diffusion numerical value prediction model, establishing a simulation model of the target slurry; and performing test-simulation parameter comparison on the permeation grouting displacement test and the simulation model, and determining a grouting evolution characterization model for analyzing grouting flow pattern evolution and diffusion fluidization. According to the method, the accurate simulation model and the grouting evolution characterization model are established and optimized by combining actual measurement parameters in the test, so that the grouting process is optimized, and the engineering safety and economy are improved.

The invention relates to the technical field of molten salt treatment, and discloses a molten salt recovery system based on a steel belt cooling granulator. The system comprises a molten salt physical property monitoring module, a viscosity modeling module, a cooling optimization module, a partition temperature control module, a phase change monitoring module, a dynamic adjustment module, a particle size analysis module, a quality grading module, a pneumatic conveying module and a waste heat recovery module. The progressive crystallization control of the molten salt particles is realized; a heat pipe type heat exchanger and an organic Rankine cycle system are integrated at the waste heat recovery end, so that comprehensive energy consumption is reduced; the environment regulation and control end monitors the workshop temperature and humidity in real time based on a dew point calculation model, and the long-term stability of hygroscopic fused salt particles is guaranteed. According to the method, four technical bottlenecks of out-of-control crystallization, energy waste, classification loss and environmental interference in fused salt recovery are overcome, and low-cost, high-purity and zero-waste fused salt resource recycling is realized.

The invention discloses a discrete element contact parameter calibration device and method based on a dynamic repose angle, the device comprises a platform on which a motor and a motor control panel are fixedly arranged, the motor control panel is connected with a PC, the motor control panel is connected with the motor, and an output shaft of the motor is fixedly connected with a driving belt wheel; a first bearing seat and a second bearing seat are installed on the top face of the platform, the first bearing seat is rotationally connected with a first rotating shaft, the first rotating shaft is fixedly connected with a driven belt wheel connected with the driving belt wheel through a belt, and the two ends of the first rotating shaft are fixedly connected with driving wheels respectively. The second bearing seat is rotationally connected with a second rotating shaft; two ends of the second rotating shaft are fixedly connected with supporting wheels respectively; the cylinder is in contact with the surfaces of the driving wheel and the supporting wheel; a high-speed camera connected with a PC (Personal Computer) is fixedly arranged on the top surface of the platform, and discrete element analogue simulation software is installed in the PC. According to the invention, the dynamic angle of repose of the material in different flowing states can be measured in real time, and high-precision calibration of contact parameters among particles is facilitated through a discrete element model.

The invention discloses a viscometer for detecting the quality of a new chemical material product, and relates to the technical field of viscometers, the viscometer comprises a base, an ultrasonic cleaning box is fixed on the base, a material moving mechanism for realizing automatic loading and unloading of a sample cylinder is also fixed on the base, a bracket is fixed on the rear side of the base, and the bracket is connected with the ultrasonic cleaning box. A first motor is fixed to the support, an output shaft of the first motor is connected with a threaded rod connected to the support through a bearing, and the threaded rod is connected with the movable frame so that the movable frame can move in the Z-axis direction. According to the viscometer for detecting the quality of the new chemical material product, through linkage regulation and control of the adjusting mechanism, the material moving mechanism and the detection mechanism, cleaning and switching of the detection mechanism and feeding and discharging of the sample cylinder are cooperatively matched, 180-degree transposition of the detection mechanism and 90-degree automatic material moving of the sample cylinder driven by the rotary table are synchronously achieved, and therefore assembly line operation can be achieved, and the working efficiency is improved. And manual participation is not needed, the detection efficiency is greatly improved, and batch detection of new chemical materials can be effectively adapted.

The invention relates to a method and a device for determining the flow characteristic of CO2 in a porous medium and the distribution rule of CH4 in a pore space. The method comprises the following steps: (1) pretreating a sample; (2) system connection and air tightness inspection; (3) vacuumizing the system; (4) temperature control; (5) CH4 saturation and pressure stabilization; (6) displacement experiment and data acquisition; (7) monitoring outlet gas; and (8) data processing. The problem that in existing CO2 geological sequestration and enhanced gas production research, due to the fact that in-situ visualization of the pore size cannot be achieved, a microscopic displacement mechanism is unclear is solved, and the method aims at providing scientific basis and technical support for efficient exploitation of natural gas and effective geological sequestration of CO2.