1170results about "Specific gravity measurement" patented technology

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 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 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 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 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.

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.

The invention discloses a GIS equipment SF6 micro-water density lightweight online monitoring method based on double threshold triggering, and relates to the field of power equipment.The method comprises the steps that on the basis of a fusion mechanism of nonlinear drift characteristics and historical calibration parameters, sensor coefficients are calibrated; synchronously acquiring partial discharge and sulfur hexafluoride micro-water signals through a sensor; the method comprises the following steps: pre-screening abnormal data segments in partial discharge and sulfur hexafluoride micro-water signals through double thresholds of amplitude and time, and extracting alignment time marks and frequency domain energy, pulse density and micro-water slope features to obtain normalized features; inputting the normalized features into a classifier, and outputting the fault type and confidence of the gas insulated switchgear; and generating a maintenance and replacement instruction of the gas insulated switchgear according to the fault type and the confidence coefficient. According to the invention, through fusion of the high-precision capacitive humidity sensing network and the intelligent diagnosis algorithm, real-time sensing and risk early warning of the health state of the air chamber are realized.

The invention provides a high-enthalpy shock tunnel free flow electron density two-dimensional diagnosis system and method. The system comprises a laser, a sheet light assembly, a double-camera imaging system, a time sequence synchronizer, a work station and other core components. NO molecules in a flow field are excited by laser to generate fluorescence, two fluorescence images with nanosecond delay are obtained by using a spectroscope and two sets of synchronous acquisition systems, fluorescence lifetime two-dimensional distribution is calculated based on a fluorescence intensity ratio, and then two-dimensional space distribution of electron density is obtained through inversion of a physical model. Non-contact measurement is achieved, interference of a traditional probe on a flow field is avoided, the method has the outstanding advantages of two-dimensional visualization, high temporal-spatial resolution, high measurement precision and the like, and a reliable diagnosis means is provided for high-enthalpy flow field characteristic research and aircraft communication performance evaluation.

The invention discloses a foam concrete carbon sequestration rate evaluation method, foam concrete carbon sequestration rate evaluation equipment and a medium, and relates to the field of carbon neutralizer.The method comprises the steps that the apparent density of a CO2 foam concrete sample is measured; determining the theoretical matrix density of the concrete matrix; calculating the mass of CO2 in bubbles in the unit mass sample according to the apparent density and the theoretical matrix density; calculating a physical sealing rate according to the mass; based on a chemical curing amount detection method, determining the CaCO3 content measured by mu-XRD and the active calcium oxide content detected by LIBS; the chemical curing amount detection method comprises a mu-XRD method and an LIBS method. Determining a chemical curing rate according to the CaCO3 content and the active calcium oxide content; and determining the total carbon sequestration rate of the foam concrete according to the physical sequestration rate and the chemical curing rate. According to the method, the accurate carbon sequestration rate can be calculated.

The invention provides a spectral response difference-based etching paste material quality detection method and system. The method comprises the following steps of: decomposing and identifying an internal density abrupt change boundary position of a material through multiband spectral chromatography; applying a light beam with a specific frequency to a sudden change boundary to perform resonance excitation to reconstruct stress field distribution, determining a stress concentration point, performing reverse optical tracking to form a defect path, and establishing a self-organizing optical monitoring grid; performing density self-adaptive adjustment on the grids, and forming a graded spectrum fingerprint database through differential spectrum excitation to generate a material state boundary recognition standard; phase change critical point detection is carried out based on an identification standard, and a pulse light beam is applied to excite surface deformation to construct a multi-point linkage defect blocking network; and performing defect analysis on the network to form an interconnected optical energy field, monitoring the energy field to determine an abnormal position, and performing phase comparison marking through a phase difference spectrum group to complete quality detection of the etching paste material, so that accurate identification and intelligent quality classification of internal defects of the material are realized.

The invention discloses a compaction degree measuring and calculating method based on multi-physics field joint inversion. The method comprises the following steps: acquiring multi-physics field observation data and rock-soil compaction characteristic parameters of a to-be-detected area; establishing a mapping relationship between the moisture content and the observation data and between the dry density and the observation data by using a pre-established forward model; executing joint inversion iteration, and updating the state variable based on the observation residual error; in the iteration process, a physical feasible region is constructed by utilizing rock-soil compaction characteristics, and the physical feasible region is embedded into the inversion process as a constraint condition to constrain the value ranges of the dry density and the water content; and in response to the condition that the joint inversion iteration process meets a preset convergence condition, outputting the dry density after inversion convergence and calculating the compaction degree. According to the method, the problems that a traditional inversion solution violates the soil engineering compaction rule and cannot adapt to compaction under variable work conditions are solved, and the physical authenticity and precision of compaction quality detection are improved.

The invention discloses a soil density compaction degree compaction detection method and system, and relates to the related technical field of soil detection, and the method comprises the following steps: automatically identifying a unique identification code on a sample loader through a scanning module, and associating the unique identification code with a test task; weighing is automatically triggered after the sample is placed, and mass data and an identification code are bound and transmitted to a data processing terminal; the terminal calls a corresponding reference parameter from a pre-stored parameter library according to the identification code, and then utilizes a built-in multi-level calculation engine to parallelly calculate the soil density, the compaction degree and the compaction characteristic parameters in combination with the quality data, the reference parameter and a dynamically selected physical formula; and performing cross logic verification to output a detection result. The technical problems that in the prior art, detection data records are prone to dislocation, the parameter matching efficiency is low, and the calculation process lacks automatic verification are solved, and the technical effects that full-process automation of detection, accurate data association and intelligent parameter matching are achieved, and the soil detection efficiency and the result reliability and consistency are improved are achieved.

The invention relates to the technical field of fabric performance detection, and provides a composite fiber warp-knitted fabric antibacterial and air permeability detection method and system, and the method comprises the steps: obtaining first original performance measurement information and second original performance measurement information of a to-be-detected fabric; according to the influence degree of the environmental factors on the first performance measurement path, correcting the first original performance measurement information to obtain corrected first performance measurement information; according to the influence degree of the environmental factors on the second performance measurement path, correcting the second original performance measurement information to obtain corrected second performance measurement information; and performing fabric performance evaluation based on the corrected first performance measurement information and the corrected second performance measurement information to complete fabric performance detection. The method has the effect of improving the accuracy and reliability of antibacterial and air permeability detection of the composite fiber warp-knitted fabric.

The invention relates to the technical field of rock wool board production, in particular to a hot-melt slag regenerated rock wool board production control system based on an intelligent sensor. The data acquisition module comprises an image sensor and a thickness sensor; the production control module comprises an areal density determination unit used for determining whether areal density distribution of the cotton blank is uniform or not according to the areal density distribution characterization value and determining whether the areal density of the cotton blank is qualified or not according to the areal density distribution characterization value, and a correction unit used for determining whether to correct the areal density of the abnormal position or not based on the compensation area; the pendulum bob control unit is used for adjusting the lap joint overlapping degree of the cotton blanks based on the characterization difference value and adjusting the linear speed of the pendulum bob device based on a preset area, and is used for determining whether the thickness stability of the rock wool board is qualified or not based on the thickness fluctuation characterization value; and the curing oven control unit is used for adjusting the chain plate distance of the curing oven or optimizing the preset distribution characterization value. The thickness stability of the rock wool board is improved.

The invention discloses a vibration sensor with a mechanically oscillating unit (1), a housing (3), and a transducer device (2) comprising a transmitter component (20) and a receiver component (21), and bounded at its end face by two insulating disks (23). Of at least three contact electrodes (9, E+, S+, GND1, GND2, GND), two serve to transmit the excitation and reception signals. A third contact electrode (GND1, GND2, GND) serves to connect to a ground potential or the housing (3). Each contact electrode (9, E+, S+, GND1, GND2, GND) has a base (90) and a contact tab (91). The base (90) is designed as a flat disk with a crescent-shaped outer contour (92), the outer contour (92) consisting of a partial circular contour (93) and an inwardly projecting, smoothly sloping recessed section (94).

The present application relates to the technical field of spent fuel reprocessing, in particular to a 1AF metering tank gas damper adjusting device and method, the 1AF metering tank gas damper adjusting device comprising a fixed rack and a plurality of stirring mechanisms, the fixed rack being arranged directly above the 1AF metering tank, and the stirring mechanisms being movably arranged on one side of the fixed rack close to the 1AF metering tank. Through the adjustment of the fixed rack and the stirring mechanisms, the horizontal position and the vertical position of the stirring mechanisms can be quickly adjusted, and then the stirring effect of the gas damper in the 1AF metering tank with different number and arrangement position of the gas damper can be tested, so that the number and position arrangement of the gas damper in the 1AF metering tank can be confirmed and fixed, and the type, number and position arrangement of the stirring device in the 1AF metering tank with 1:1 scale of the commercial spent fuel reprocessing plant for the accurate metering of the 1AF liquid volume are provided with reference, the traditional fixed welding method is avoided, and the manpower, material resources and financial resources for the 1AF metering tank gas damper adjustment test are saved.

The invention relates to the technical field of alkaline water electrolysis hydrogen production, and discloses a multi-parameter fusion gas-liquid separation effect online evaluation method, which comprises the following steps: acquiring alkali liquor mass fraction concentration, fluid temperature, actual mixing density and mass flow signals on a backflow alkali liquor pipeline of a gas-liquid separator in real time; dynamically calculating the theoretical density of the bubble-free sodium carbonate solution under the current working condition according to the mass fraction concentration of the alkali solution and the fluid temperature which are collected in real time; calculating the absolute deviation between the theoretical density and the actual mixing density; performing real-time noise level analysis on the mass flow signals; according to a comparison result of the absolute deviation and a preset density deviation threshold value; and outputting a separation result judgment result and executing corresponding alarm or interlocking control. The theoretical density of the bubble-free sodium carbonate liquid is dynamically calculated in the control unit in real time according to the online measured mass fraction concentration and temperature of the alkali liquid, and reliable separation result evaluation under the real-time concentration change working condition is achieved.

The invention discloses a method for in-situ testing of dynamic change of floccules along with a sedimentation process based on four-dimensional CT (Computed Tomography), and relates to the technical field of chemical monitoring. The method comprises the following steps: preparing a floccule sample for flocculent settling of kaolinite in a cationic solution environment; cT scanning parameters are set, and an image sequence of the floccule sample in the sedimentation process is obtained; preprocessing the image sequence and performing gray correction to obtain a corrected image; and calculating density values of the floccules at different sedimentation heights based on the corrected image to obtain a density dynamic change result. According to the invention, the in-situ real-time dynamic observation of the floc density in the sedimentation process can be realized, and the defects that the traditional floc sampling mode is easy to damage the floc structure and also interrupts the static analysis means of the sedimentation process are overcome.

The invention discloses a method for rapidly judging the sensitization effect of an on-site mixed emulsion explosive. The method comprises the following steps: S1, a laboratory calibration stage: simulating an on-site sensitization process to prepare a calibrated explosive sample; the sampling device collects and calibrates explosive samples, the millimeter graduated scale is arranged above the sampling device, and the camera shoots and counts the number of bubbles; detecting the density and the detonation velocity, and establishing an incidence relation of bubble number-density-detonation velocity in the specified millimeter scale and a qualified range; s2, an on-site detection stage: calibrating a millimeter graduated scale, camera equipment and a sampling device which are consistent in specification in a laboratory; the sampling device collects an on-site explosive sample, the graduated scale is arranged above the sampling device, the camera shoots and counts the number of bubbles, and the sensitization quality is judged by comparing with a laboratory calibration association relationship. According to the invention, the problems of long detection period of a traditional laboratory, strong subjectivity of existing field detection and high requirement on professional level of detection personnel can be solved, and real-time, accurate and low-cost detection of field sensitization quality is realized.

The utility model relates to the field of clamping device especially relates to glass density meter clamping device, the upper end of support mechanism is provided with lifting mechanism, one side of lifting mechanism is provided with horizontal clamping mechanism, one end of horizontal clamping mechanism is provided with longitudinal clamping mechanism. The utility model discloses through horizontal clamping mechanism and longitudinal clamping mechanism ensure two layers of clamping force uniformity, avoid the displacement of density meter caused by action in proper order, solved the prior art in the device only through one side or single layer clamping, glass density meter is easy to tilt, shake even slip because of uneven stress, directly push the clamping block, if control accuracy is insufficient, easy to cause glass density meter breakage because of rigid collision, when density meter needs to immerse in liquid different depth, if the guiding property is poor in the lifting process of bearing platform, easy to occur horizontal deviation, lead to the situation that the clamping position deviates or the measurement error.

The application discloses a water depth detection device and vehicle and a vehicle wading depth detection method. The water depth detection device comprises a sensor assembly, the sensor assembly comprising a differential pressure sensor and a wading pipeline, a first end of the differential pressure sensor being in communication with a first end of the wading pipeline, a second end of the differential pressure sensor being in communication with external air and being formed with an air interface, a second end of the wading pipeline being a wading interface, a plane where the wading interface of the wading pipeline is located being higher than a plane where the air interface is located, and the differential pressure sensor being used for detecting a pressure difference between pressure in the wading pipeline and external air pressure. A first calculation module is used for calculating a wading depth according to the pressure difference, water density and a vertical distance from the wading interface of the wading pipeline to the ground. The water depth detection device has low cost and can detect the depth of muddy water.