1487results about "Specific gravity measurement" patented technology

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 is suitable for the technical field of logging lithology identification, and provides a logging lithology identification method based on physical information constraint, which comprises the following steps: step 1, data processing; 2, constructing a graph; step 3, constructing a graph attention neural network; 4, constructing a mixed loss function; and 5, lithology prediction. According to the method, through the synergistic effect of data driving and physical information, the performance is obviously superior to that of various pure data driving models. Benefited from the strong regularization effect of physical constraints, the method has stronger generalization ability and prediction stability on new data. The problem that a traditional black box model may generate a result violating physical common knowledge is fundamentally solved, and the geologic rationality of an output result is ensured.

The invention belongs to the technical field of mechanical property testing, and particularly discloses and provides a coal rock sample mechanical property intelligent testing system and method.The coal rock sample mechanical property intelligent testing system comprises a consistency verification module, a test piece dividing module, a density testing module, a triaxial testing module and a report generating module; standardized screening is carried out on the size, morphology and structural integrity of the test piece, physical characteristics are ensured to be unified, individual difference interference is avoided, then density and triaxial testing are integrated, density, triaxial compressive strength and shear strength parameters are synchronously obtained, a multi-dimensional data system is constructed, the problem that in the prior art, parameters are single is solved, and the test efficiency is improved. The method comprehensively supports comprehensive evaluation of coal rock mechanical properties, and meanwhile, by outputting a structured report containing a measured value, an adaptive threshold value, a judgment result and an unqualified item and clearly marking the unqualified item, the limitation that manual secondary processing is needed in the prior art is solved, seamless connection of testing, evaluation and engineering application is achieved, and the engineering application value is improved.

The invention provides a photoacoustic measurement method and device, and the method comprises the steps: carrying out the photoacoustic measurement of a to-be-measured object through a photoacoustic measurement device, and extracting a reference value of a physical parameter of each film material according to an obtained reflectivity change signal; further acquiring a reflectivity change simulation signal based on the reference value of the physical parameter of the material so as to acquire a simulation value of the physical parameter of each film material; and performing weighted correction on the reference value by the simulation value to obtain a fitting value of the physical parameter of each film layer material. The fitting value of the physical parameter of each film layer material obtained by the technical scheme of the invention can reflect the change of the physical parameter of the material in the actual film layer growth process of the object to be measured, has higher accuracy as the initial value of the physical parameter of the simulation model, and is beneficial to optimizing the efficiency and precision of photoacoustic measurement of the thickness of the film layer.

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 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 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 discloses an SF6 density and micro-water comprehensive verification device and a control method thereof. The SF6 density and micro-water comprehensive verification device comprises a micro-water detection unit, a purity detection unit, a density verification unit, a gas path system, a multi-parameter synchronous acquisition module and a control module. The micro-water detection unit is connected in series with a constant flow valve; the purity detection unit comprises an infrared detection cavity, and a constant-temperature heating sheet wraps the outer side of the infrared detection cavity and is used for stabilizing the temperature in the cavity; the density checking unit is connected in series with a precise pressure regulating valve for realizing dynamic pressure regulation; the gas path system comprises a main gas path, a density calibration sub-gas path, a micro-water detection sub-gas path and a purity detection sub-gas path; the multi-parameter synchronous acquisition module is used for synchronously acquiring environment temperature, gas path pressure and environment humidity data in the device; the control module is internally provided with sequential control logic and is used for controlling the electromagnetic switching valve to sequentially conduct the density calibration sub-gas circuit, the micro-water detection sub-gas circuit and the purity detection sub-gas circuit and controlling the main gas circuit to be vacuumized and then filled with nitrogen to form positive pressure isolation when the sub-gas circuits are switched; and meanwhile, a temperature, pressure and humidity coupling compensation algorithm is executed based on data of the multi-parameter synchronous acquisition module. According to the device, micro-water, purity and density detection of the SF6 gas is realized through one device, and the detection accuracy is high.

The invention discloses a rock-fill concrete pouring liquid level and compactness monitoring and evaluating method, and relates to the technical field of concrete construction. According to the invention, the compactness sensing probes are uniformly distributed in the warehouse, so that the whole warehouse surface can be comprehensively monitored. The probes are wrapped by high-strength and high-toughness materials, it is ensured that the probes cannot be damaged in the construction process, a three-dimensional Thiessen polygon method is adopted for segmenting the areas in the bin, each compactness sensing probe corresponds to one associated area, the segmentation method can adapt to irregular polygon boundaries, it is ensured that only one representative measuring point exists in each area, and the accuracy of the detection result is improved. Whether the probes are buried by the concrete or densely filled can be judged in real time through the numerical value change of the compactness sensing probes, and the liquid level position of the self-compacting concrete can be calculated according to the states of all the probes.

The invention discloses a single-ultrasonic-head sensor for measuring liquid density and liquid level height, which relates to the technical field of liquid level measurement and comprises a floater component, a reflection cavity component and an ultrasonic sensor component. The floater assembly is assembled on the reflection cavity assembly, the reflection cavity assembly is connected with the ultrasonic sensor assembly, and the ultrasonic sensor assembly is connected with the floater assembly through the reflection cavity assembly. High-frequency ultrasonic waves are transmitted and received through a single point, the sound velocity (density) and the ultrasonic wave return time difference (liquid level) are synchronously analyzed, the density and the liquid level of the urea solution are calculated, the problems of mechanical interference and data splitting are avoided, and the trepanning and cable cost is reduced; the shared high-precision temperature compensation module directly eliminates compensation deviation of the split system, and maintenance only needs single-point anti-crystallization treatment; and in combination with a cross validation algorithm (density liquid level logic mutual verification), the operation and maintenance cost is reduced while the data reliability is improved, and the method is particularly suitable for space-limited and highly-corrosive urea solution detection scenes.

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

The invention discloses a control method based on coal dressing intelligent filter pressing, and belongs to the technical field of coal dressing, and the control method specifically comprises the following steps: pre-grading original coal slime through an intelligent multi-stage cyclone, collecting coal slime property data of each section in real time by using online detection equipment, and transmitting the coal slime property data to an intelligent control system; through a dual optimization mechanism, coal slime properties and filter pressing grades are matched, and optimal filter pressing parameters are generated; a multi-machine cooperative control strategy is adopted to drive a three-stage filter press to operate step by step, a virtual model of the filter press is constructed through real-time working state parameters of a sensor, and an abnormal state is dynamically corrected in combination with the real-time working state parameters and a fuzzy PID algorithm; carrying out resource processing on a filter cake generated by filter pressing, and meanwhile, carrying out grading treatment on filtrate; intelligent control over the whole process of coal slime grading filter pressing is achieved, and the coal slime treatment efficiency and the resource utilization rate are improved.

The invention discloses a ground monitoring method for water and soil loss and carbon loss of a road slope, and belongs to the field of ecological monitoring. The method comprises the following steps: setting an engineering disturbance area and a natural contrast area according to regional water and soil loss, vegetation coverage and altitude gradient, and arranging an erosion pile sample plot to form a contrast observation network; removing impurities on the surface layer of the sample plot, collecting a soil sample, obtaining volume-weight data, and recording environmental parameters such as geographic position, altitude and gradient; the method comprises the following steps: pretreating a soil sample, measuring organic carbon content and volume weight, and obtaining carbon components and physical parameters; the exposed height of the erosion pile is measured regularly, erosion / accumulation modulus is calculated, and a space-time database is established in combination with weather, disturbance events and the like; and based on the erosion / accumulation data and the physical and chemical parameters, constructing a model to quantify carbon loss and carbon sequestration caused by water and soil loss. According to the method, through contrast point distribution, high-frequency observation and multi-parameter analysis, whole-process dynamic monitoring of complex terrain carbon migration is achieved, and the method is suitable for accurate evaluation of water and soil loss induced carbon loss in the field of ecological monitoring.

The present application relates to a kind of for the determination method of liquid alloy density in electrostatic suspension state in space station, after obtaining the photo of liquid alloy in electrostatic suspension state in space station, first photo is converted into pixel matrix and carries out gray scale processing, then deduct photo background by matrix operation.Further, the best binary grayscale threshold of pixel matrix is calculated, and pixel matrix is carried out binary processing.Then all boundary coordinates in pixel matrix are obtained by matrix operation, and each connected boundary is distinguished.Excluding bright spot boundary, the boundary coordinates and center coordinates of liquid alloy are obtained.Then the boundary equation of liquid alloy is obtained by using multi-order Legendre equation fitting liquid alloy boundary coordinates.Finally, the volume of liquid alloy is obtained by rotating integral to the boundary equation of liquid alloy, and then the density value of liquid alloy is obtained.The density value of the present application can be obtained by processing liquid alloy photo, and can be used for the determination of containerless liquid alloy density in electrostatic suspension in space station.

The application discloses a kind of based on transparent soil and pile-soil interface micro evolution measurement method of multi-source sensing, it is related to geotechnical engineering test field.The present application includes the following steps: constructing transparent soil model, pile body pre-embedded sensor arrangement, multi-source sensor calibration and parameter optimization, load application and multi-source data acquisition, improved DIC algorithm's pile-soil interface micro displacement calculation, pile-soil interface pore and particle density calculation, multi-source sensing data's heterogeneous fusion, pile-soil interface micro evolution characteristic quantitative inversion and visualization, test end and data verification.The present application simulates real soil environment by constructing transparent soil model, in combination with image recognition, digital image correlation, fiber-optic sensing and resistance sensor and other multi-source sensing technology, the micro deformation, stress distribution and failure evolution process of pile-soil interface in loading process are monitored and analyzed in real time with high precision, realize the high-precision, full-process, visual measurement of pile-soil interface micro evolution, improve measurement precision.

The invention provides a comprehensive optimization method for blasting control in a complex geological environment, and the method comprises the steps: collecting rock mass characteristic data, including hardness and density distribution, in the complex geological environment through a field sensor, integrating multi-source information through a data fusion method, and obtaining a unified rock mass characteristic model; the soft rock disturbance degree is evaluated through slope stability influence indexes, a blasting time sequence is calculated through a particle swarm optimization algorithm, a delay interval is prolonged for a high disturbance area, and an accurate blasting time sequence scheme is determined; generating pre-fracture formation path prediction according to the accurate blasting time sequence scheme, and if the adaptation degree of the prediction path and the target geology is lower than a threshold value, iterating time sequence parameters to obtain a regular pre-fracture formation model; and deriving energy release distribution from the regular pre-crack formation model, integrating a time sequence scheme and a charging structure, and simulating the overall blasting efficiency to obtain final geological adaptive blasting control parameters.

The invention relates to the technical field of foamed aluminum detection, and discloses a foamed aluminum insulation detection method based on an eddy current effect. The method comprises the following steps: dividing a foamed aluminum sample to be detected into a plurality of detection units, and collecting eddy current signal data, material structure data and environmental parameter data of each unit to form a multi-source detection data set; then, an insulation defect evaluation index and a material stability evaluation index are constructed according to the multi-source detection data set, and an initial defect value is generated through a preset threshold mechanism; and dynamically correcting the initial defect value based on the material relevance of the adjacent detection units to obtain a corrected defect value. And finally, generating a priority list according to the corrected defect value sequence, and outputting an insulation performance evaluation result in combination with a visual tool. According to the method, comprehensive and accurate detection of the insulation performance of the foamed aluminum is realized, a systematic and effective technical scheme is provided for identification and evaluation of insulation defects of the foamed aluminum, and the method is suitable for insulation performance detection scenes in the production and application process of the foamed aluminum.

The invention relates to a Coriolis flow measuring device (1) for determining a mass flow rate, a medium density and / or a medium viscosity of a fluid measurement medium, in particular a liquid, in a process line, comprising:-a measuring system (10), the measuring system (10) having a measuring line (11) for conveying the measurement medium, the measuring line (11) being arranged in the process line (11); the measuring system (10) has at least one measuring tube (12); -a calibration system (20), the calibration system (20) having a calibration line (21), separate from the measuring line (11), for conveying a calibration medium, the calibration system (20) comprising at least one calibration tube (22); -a (combined) exciter system (30) for exciting mechanical oscillations of both the measurement system and the calibration system; -a (combined) sensor system (40) for detecting mechanical oscillations of both the measurement system and the calibration system, in which the exciter system (30) and the sensor system (40) are each connected, in particular in a detachable manner, to the measurement system (10) and to the calibration system (20), in particular to the measurement system (10) and the calibration system (20). The exciter system (30) and the sensor system (40) are preferably detachably connected to the measurement system (10) and the calibration system (20); and measurement and calibration electronics (50), where the measurement and calibration electronics (50) are electrically connected to both the exciter system (30) and the sensor system (40) and are configured to oscillate both the measurement tube (12) and the calibration tube (22) by means of the exciter system (30) and to determine oscillations of the measurement tube (12) and the calibration tube (22) by means of the sensor system (40), where the measurement and calibration electronics (50) are electrically connected to both the exciter system (30) and the sensor system (40). The measurement and calibration electronics (50) are configured to determine at least one calibration variable of an integral system formed by the measurement system (10) and the calibration system (20), based on oscillations of both the measurement system (10) and the calibration system (20) conveying the calibration medium, as determined by the sensor system (40), and wherein the measurement system (10) and the calibration system (20) are coupled to the sensor system (40), the measurement and calibration electronics (50) are configured to determine a mass flow rate, a medium density and / or a medium viscosity of a measurement medium conveyed in the measurement system (10) as a function of at least one calibration variable and / or a variable derived therefrom.

The invention provides a pipeline type inrush water magnetic adsorption visual grouting plugging simulation method, which comprises the following steps of: 1, dynamically assembling a modular magnetic rod, sleeving a time sequence functional sleeve, pre-adsorbing a magnetic slurry layer, mounting a long pressure relief pipe with a shunting hole and a rotational flow grouting pipe, and integrally inserting into a pipeline for positioning; 2, high-speed water flow is dispersed through a pressure relief pipe, grouting parameters are dynamically regulated and controlled based on flow state perception, and dynamic balance is maintained through synchronous pressure relief of swirl jet grout; 3, after solidification, scanning through a pressure relief pipe ultrasonic probe, and constructing a three-dimensional density cloud picture to quantitatively evaluate integrity; and 4, the inert film is dissolved by the solvent to activate the lubricating layer, the degaussing coil counteracts the adsorption force, and the hydraulic mechanism axially pulls out the magnetic bar with constant force. The method has the advantages that magnetic flux self-adaption and pressure relief grouting cooperate to solve the flowing water plugging retention problem; high-quality recovery of the magnetic bars is optimized through sequential control; flow state perception and ultrasonic verification double closed loops guarantee the controllability of the plugging quality; the modular fast-assembly architecture supports cross-environment deployment from land karst to a deep sea scene.

The invention discloses a synchronous detection system for surface density and wall thickness uniformity of a composite bulletproof helmet, which belongs to the technical field of bulletproof helmet detection and comprises a detector cooperative control module, a two-parameter synchronous acquisition module, a data preprocessing module, a two-parameter cooperative constraint module and an intelligent modeling output module. Through the integrated design that the detection unit integrates the 3D scanning detector, the microwave thickness measuring probe and the beta-ray density detector, and in cooperation with the synchronous triggering and double-channel signal acquisition mode of the double-parameter synchronous acquisition module, synchronous acquisition of the surface density and wall thickness data of the helmet is realized; the problems that traditional step-by-step detection is low in efficiency and poor in data relevance are solved, the detection efficiency and the accuracy of quality judgment are greatly improved, meanwhile, a detection report containing process optimization suggestions is output, the problems that traditional detection results are not visual, and connection with the production process is not smooth are effectively solved, and the product quality is improved. And accurate guidance can be provided for mass production quality control and process adjustment.

A baler implement includes a main frame, a baling chamber, a compressing member, a first input assembly, a second input assembly, a weight sensor, and a baler controller. The compressing member compresses the bale within the baling chamber. The first input assembly senses data related to variable dimension of the bale. The second input assembly senses data correlated to a dry matter density of the bale. The weight sensor sense data related to a total weight of the bale in the baling chamber. The baler controller receives the signal indicative of the total weight of the bale from the weight sensor, calculates a moisture weight of the bale based on a numerical difference between the total weight of the bale and a dry matter weight of the bale, and communicates the moisture weight of the bale to a communicator.

The invention discloses a sodium-ion battery positive electrode material preparation system, and relates to the technical field of sodium-ion battery production, and the sodium-ion battery positive electrode material preparation system comprises a raw material intelligent management and control module, an equipment linkage control module, a sintering process precise regulation and control module, a quality online monitoring module and a data management and analysis module; through high-precision automatic weighing and closed conveying of the raw material intelligent management and control module, the raw material matching precision is improved, material loss is reduced, by means of a collaborative logic algorithm of the equipment linkage control module, the material circulation efficiency is improved, the production period is shortened, and by means of dynamic regulation and control of the sintering process precise regulation and control module, the production efficiency is improved. The sintering qualified rate is improved, the product batch quality difference is reduced, unqualified products are reduced by using real-time detection and feedback of the quality on-line monitoring module so as to reduce the production cost, process optimization, quality tracing and energy consumption monitoring are realized through the data management and analysis module, the comprehensive energy consumption is reduced, and the production efficiency is improved. And large-scale, high-quality and low-cost production of the sodium-ion battery positive electrode material is realized.

The invention discloses a nondestructive testing method for a welding seam of a storage tank, and belongs to the technical field of nondestructive flaw detection. Comprising the following steps of: driving an ultrasonic probe, a thickness sensor and a DR equipment main body by utilizing a driving guide rail main body, respectively acquiring ultrasonic echo data, ray density data and coupling agent thickness of a storage tank welding seam, calculating a defect characteristic index by weighting and fusing an amplitude characteristic and a time characteristic, and introducing a density difference characteristic; correcting defect feature indexes through multi-modal product fusion to obtain fusion defect confidence, dynamically adjusting amplitude weight coefficients of amplitude features based on the signal-to-noise ratio of ultrasonic echoes of an ultrasonic probe and the thickness of a coupling agent to obtain corrected amplitude weight coefficients, and judging defect types according to the fusion defect confidence. According to the method, the defect preliminary classification is realized through double-feature fusion, the confidence coefficient is enhanced through multi-modal fusion, the weight is corrected through noise feedback, a'noise self-adaption-feature optimization 'closed loop is formed, and then the accurate identification and low misjudgment detection of the welding seam defect of the storage tank are realized.

The invention relates to the technical field of cotton yarn detection, and discloses a synchronous detection method for multiple performance indexes of cotton textile yarns. The method comprises the following steps: acquiring a current surface image parameter of a yarn body appearance layer, a current internal structure parameter of a fiber structure layer and a current molecular motion parameter of a molecular chain layer corresponding to a current production batch of to-be-detected yarn; performing layered performance analysis on each parameter to obtain a first current performance state evaluation value of the yarn body appearance layer, a second current performance state evaluation value of the fiber structure layer and a third current performance state evaluation value of the molecular chain layer; and finally, performing matching judgment on each evaluation value and a preset performance state evaluation reference range, and triggering a corresponding detection calibration operation according to a result. According to the method, multi-level parameters can be synchronously obtained, comprehensive performance evaluation is realized, the problems of single detection dimension, low efficiency, poor result association, lag and the like in the prior art are solved, the detection reliability and consistency are improved, and production quality control and process optimization are assisted.

The invention discloses a lead-acid storage battery electrolyte density measuring device, and belongs to the technical field of battery measurement, the lead-acid storage battery electrolyte density measuring device comprises a detection mechanism, the detection mechanism comprises a connecting column and a tuning fork mechanism, the tuning fork mechanism comprises a tuning fork base and a tuning fork sensor, and the tuning fork mechanism is sleeved with a double-layer isolation mechanism; the double-layer isolation mechanism comprises an inner cover mechanism and a microporous outer cover mechanism, a microporous material of the outer cover mechanism enables the electrolyte to penetrate through the outer cover mechanism and block bubbles, and the inner cover mechanism enables the electrolyte to turn and flow many times to make contact with the tuning fork sensor through an inner cover first channel and an outer cover second channel which are arranged in a staggered mode. The tuning fork mechanism is sleeved with the double-layer isolation mechanism, the outer cover mechanism adopts a microporous material to achieve electrolyte permeation and bubble blocking, the inner cover forces electrolyte to flow circuitously through the staggered channel design, the double structures cooperatively eliminate bubble attachment and inhibit turbulence interference, and it is ensured that frequency signals of the tuning fork sensor are stable; and the measurement precision and sensitivity are obviously improved.

The invention relates to the technical field of shield construction, in particular to a shield muck fine-grained soil content real-time detection system and deduction method based on multi-parameter fusion, and the system comprises a multi-parameter sensor unit, a data acquisition and transmission unit, a data processing and analysis unit and a display unit. According to the system, the content of fine-grained soil in muddy water separated from the muck is rapidly detected by using an intelligent densimeter after the muddy water is precipitated, a correction algorithm based on a data difference rule obtained by an indoor test is introduced, fine-grained soil content data detected by the intelligent densimeter is corrected, and a multi-parameter fusion algorithm is applied to determine the content of the fine-grained soil in the muddy water. Various processed shield muck data are comprehensively analyzed, rapid detection and analysis of fine-grained soil component changes in the shield muck are achieved, the problems that a traditional densimeter method is long in time consumption, complex in operation and poor in adaptability are solved through the system, real-time monitoring of the fine-grained soil content is achieved through the detection system, and the detection accuracy of the fine-grained soil component changes in the shield muck is improved. And a basis is provided for resource utilization of the muck.

The invention discloses a liquid density measuring device and method and electronic equipment, and relates to the field of density measurement, the device comprises a metal base, a metal vibration platform, a measuring pool and a driving sensor, the measuring pool comprises a glass sealing shell, a U-shaped tube, a reference oscillation tube, a vibration acquisition sensor and a temperature acquisition device, and the U-shaped tube is used for filling measured liquid; the reference oscillation tube is not filled with liquid; the U-shaped tube, the reference oscillation tube, the vibration acquisition sensor and the temperature acquisition device are all arranged in the glass sealing shell; the measuring cell is arranged on the metal vibration platform, and the metal vibration platform is arranged on the metal base; the driving sensor is arranged in the metal base and located below the metal vibration platform, so that the metal vibration platform is conveniently driven to generate mechanical oscillation. Through the glass sealing shell, the influence of the external environment is reduced, the density is calculated at a proper temperature, synchronous oscillation of the U-shaped tube and the reference oscillation tube is ensured, density compensation is ensured, and the liquid density measurement precision is effectively improved.

The application belongs to the field of backfill soil compactness detection, and specifically discloses a fluidized solidified soil compactness detection robot and a use method thereof, which comprises: a soil taking part arranged below a wire track transmission part and used for taking sample soil from a target position; a sand pouring part arranged at the lower end of the wire track transmission part and located behind the soil taking part, and used for pouring standard sand into a soil pit after soil taking, and measuring the volume of the sample soil by the mass and density of the poured standard sand; a wire track transmission part arranged on a trolley chassis part and located above the soil taking part and the sand pouring cylinder part, and used for driving the soil taking part and the sand pouring cylinder part and weighing the sample soil; and the trolley chassis part is a walking unit of the robot and is also used for lifting the wire track transmission part. The application can detect the soil compactness on a construction site, and greatly improves the detection efficiency and precision.

Globally our environment comprises structures built to perform a meet different requirements including residential, commercial, retail, recreational and service infrastructure. Whilst millions of tons of construction materials are deployed annually the quality control procedures in many instances have not changed to reflect today's demands. Accordingly, it would be beneficial to provide construction companies, engineering companies, infrastructure owners, regulators, etc. with means to automated testing / characterization of construction materials during at least one of its manufacture, deployment in construction and subsequent infrastructure life. It would be further beneficial for such automated methods to exploit self-contained data acquisition / logging modules allowing them to be employed with ease at the different points in the life cycle of a construction material and / or construction project.

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