41 results about "Sediment particle size" patented technology

The invention discloses a bed load sediment transport rate measurement method based on multi-layer sediment acoustic signal attenuation correction of a Doppler velocity profiler, which comprises the following steps: sampling sediment on the surface of a riverbed in an overtopping area of a to-be-measured river reach, and measuring sediment gradation to obtain the median particle size of the bed sediment; obtaining flow measurement data, and extracting ship speed data from the flow measurement data; calculating a riverbed movement speed according to the ship speed data; filtering the riverbed movement speed data, and calculating a characteristic value of the filtered riverbed movement speed data; respectively calculating the vertical projection area ratio of bed load according to the filtered riverbed movement speed data characteristic values; calculating a dimensionless sediment particle size according to the median particle size of the bed sand; calculating the thickness of a bed load layer according to the dimensionless sediment particle size; calculating the volume concentration of the bed load according to the vertical projection area ratio of the bed load and the thickness of the bed load layer; calculating a multi-layer sediment sound signal attenuation correction coefficient according to the bed load volume concentration; and calculating the bed load sediment transport rate according to the multi-layer sediment sound signal attenuation correction coefficient. The bed load sediment transport rate can be accurately and effectively measured.

The invention belongs to the technical field of hydraulic engineering, and provides a sediment particle size distribution measuring system and method.The method comprises the steps that images of sediment particles in a water body are collected, and a first sediment particle image is obtained; processing the first sediment particle image to obtain a sediment grayscale image; a K-means clustering algorithm is adopted to carry out clustering analysis on the sediment gray level image, and an image with a first-level clustering result is obtained; carrying out clustering analysis on sediment particles with particle sizes smaller than a preset threshold value in the image with the first-level clustering result by adopting a DBSCN clustering algorithm to obtain an image with a second-level clustering result; and carrying out edge detection on the sediment particles in the image with the secondary clustering result, and then sequentially carrying out binarization processing, equivalent circle diameter transformation and statistics on the particle size distribution of the sediment particles to obtain a particle size distribution result. The problem that an existing sediment particle size measurement system is low in measurement precision in a complex underwater environment with dense sediment and more fine particles is solved.

The invention belongs to the technical field of sediment particle size monitoring, and particularly relates to a sediment particle size monitoring device for river flow monitoring, which comprises at least three conical barrels sequentially sleeved from left to right, and the outer barrel wall of the conical barrels sequentially sleeved from left to right is in non-contact design with the other outer barrel wall. Meshes formed in the cylinder wall of the conical cylinder located on the left side are located in the conical cylinder located on the right side, the diameters of the meshes formed in the cylinder walls of the three conical cylinders from left to right are sequentially decreased, and a particle size monitoring assembly is detachably installed at the cylinder opening of the conical cylinder located on the leftmost side through a supporting mechanism; the at least three conical barrels are installed in a river channel to be monitored in a settling mode through the supporting settling assemblies. The monitoring device provided by the invention not only can be used for monitoring the particle size of the sediment particles mixed in the river, but also can be used for collecting and sampling the monitored sediment particles in a grading manner, so that the application range of the monitoring device provided by the invention can be widened.

The invention discloses a river suspended sediment particle size spectrum remote sensing method based on drainage basin and water environment characteristics. The method comprises the following steps: obtaining monthly mean value data of drainage basin characteristic factors and daily value and monthly mean value data of an actually measured suspended sediment particle size spectrum; screening drainage basin characteristic factors and water environment factors sensitive to the suspended sediment particle size spectrum; taking monthly mean value data of the screened drainage basin characteristic factors as input and monthly mean value data of the actually measured suspended sediment particle size spectrum as output to train a first random forest model, and obtaining a monthly mean value estimation model of the suspended sediment particle size spectrum; taking the screened water environment factor data as input and daily value data of the suspended sediment particle size spectrum as output to train a second random forest model, and obtaining a daily value estimation model of the suspended sediment particle size spectrum; and estimating the daily value of the suspended sediment particle size spectrum of the to-be-detected drainage basin by combining the monthly mean value and daily value estimation model of the suspended sediment particle size spectrum. According to the method, drainage basin characteristics and water environment condition factors sensitive to the river suspended sediment particle size spectrum are comprehensively utilized, and daily-scale high-precision remote sensing of the suspended sediment particle size spectrum is achieved.

The invention provides a suspended sediment concentration inversion method capable of resisting particle size interference, which comprises the following steps of: standardizing the original acoustic echo intensity of each observation grid to obtain the standardized volume back scattering intensity; establishing a sonar equation considering the sound wave attenuation of the sediment particles, and performing explicit processing on the sonar equation considering the sound wave attenuation of the sediment particles to obtain an explicit inversion model which resists particle size interference and considers the on-way change of the sediment particle size; and performing model parameter calibration on the explicit inversion model, and performing suspended sediment concentration inversion on the river observation section based on the suspended sediment concentration inversion value of each observation grid. According to the method, the dependence of ADCP inversion of the suspended sediment concentration on suspended sediment particle size distribution is effectively eliminated, and the stability and accuracy of suspended sediment concentration inversion are improved. The particle size interference resistant explicit method can realize continuous and real-time suspended sediment concentration monitoring, and is suitable for various water environments such as rivers, lakes, reservoirs and the like.

This utility model relates to the field of sediment separation technology and discloses a cyclone device for sediment separation, including a cyclone separator body and a switching disc. The switching disc has multiple discharge holes arranged in a circular array, each discharge hole containing a screen. The bottom end of each discharge hole is provided with a guide cylinder and an adjusting component, the guide cylinder changing direction via the adjusting component. A rotating component connects the switching disc and the cyclone separator body and is used to rotate the switching disc, switching different discharge holes to the discharge end of the cyclone separator body. This utility model allows for quick and convenient switching of screens with different apertures via the rotating component. Based on the required sediment particle size, the controller starts the motor, driving the switching disc to rotate, aligning the corresponding discharge hole with the discharge end of the cyclone separator body. The entire process is automated, reducing manual intervention and improving screening efficiency.

The invention relates to the technical field of riverbed sediment measurement, in particular to an image-based riverbed sediment measurement method, device and equipment and a computer storage medium. The method comprises the following steps: acquiring a first target riverbed sediment picture sampled by an unmanned aerial vehicle at a height lower than the highest flight height of a first unmanned aerial vehicle under the condition of low flight of the unmanned aerial vehicle for riverbed sediment particle size detection; and acquiring a second target riverbed sediment picture sampled by the unmanned aerial vehicle at a height lower than the highest flight height of the second unmanned aerial vehicle under the condition of no low flight of the unmanned aerial vehicle, inputting the target sediment image super-resolution model to obtain a target super-resolution riverbed sediment image, and carrying out riverbed sediment particle size detection. According to the invention, the accuracy of riverbed sediment measurement is effectively improved.

The invention discloses a method for calculating a vertical suspended sediment distribution rule by considering turbulence influence, which comprises the following steps: S1, considering the diffusivity of a water body to suspended sediment and the sedimentation effect of sediment, and carrying out discrete difference calculation on the vertical spatial and temporal distribution rule of suspended sediment concentration S by using the following differential equation; s2, calculating a turbulence diffusion coefficient in a seabed turbulence boundary layer by using a turbulence k-epsilon model; s3, the diffusion coefficient of the suspended sediment is equal to the diffusion coefficient of the turbulent flow, so that the diffusion coefficient of the suspended sediment is calculated by the following formula; and finally obtaining a time sequence result of the suspended sediment concentration vertical distribution characteristics considering parameters such as turbulence, suspended sediment concentration and sediment particle size by combining a seawater motion equation, the formula and the parameter result. By comprehensively considering the influence of parameters such as turbulence, suspended sediment concentration and sediment particle size, a more accurate result can be obtained.

The invention belongs to the technical field of sand content detection, and particularly relates to a self-adaptive suspension water flow sand content measuring device and method. A lifting buoy; an air bag is arranged at the upper part in the lifting buoy; the air bag is connected with the air supply unit, and the air supply unit performs inflation and deflation control so as to control the sinking and floating position of the lifting buoy on the water surface; a grating detector, a lens and a light source are arranged in the sand content measuring cylinder, and the light source irradiates the grating detector through the lens; a water pressure gauge is mounted on the sand content measuring cylinder; and a controller. According to the scheme, through inflation and deflation control of the air bag, stable suspension and self-adaptive positioning of the equipment at the specified depth in water flow are achieved; the problems of data distortion and high maintenance cost caused by the sensor are avoided; the grating sensor is used for directly obtaining the weight and the sand content of water flow and detailed sand grain grading distribution data in a long time and high precision mode, and the bottleneck that a traditional indirect measuring method is greatly interfered by sand characteristics is broken through.

The invention relates to a wet-type rotary precise sample separation device and method for marine sediment particle size analysis. The wet-type rotary precise sample separation device comprises an anti-sedimentation sample injection unit, a rotary sample separation unit and a driving unit, the anti-sedimentation sample introduction unit comprises a sample introduction funnel and a dynamic homogenizer arranged in the sample introduction funnel, and a liquid outlet is formed in the bottom of the sample introduction funnel; the rotary sample separation unit is positioned below a liquid outlet of the anti-sedimentation sample injection unit and comprises a distribution disc capable of rotating around a vertical axis, and at least two stations for accommodating receiving containers are arranged on the distribution disc along the circumferential direction; and the driving unit is in transmission connection with the distribution disc and is used for driving the distribution disc to rotate. The device is compact in structure, easy and convenient to operate and high in sample separation precision, the influence of gravity sedimentation on sampling uniformity can be overcome in a mechanical mode, and it is ensured that each trace sample separated from original suspension liquid is highly consistent with an original sample in particle size composition, so that the requirement for high-precision laser particle size analysis is met.

The present application relates to a kind of water body silt particle size distribution and sediment concentration online measuring device and method, ultrasonic sediment concentration sensing box is installed on the outside of online measuring transfer box in online measurement, single-chip microcomputer is installed in ultrasonic sediment concentration sensing box, the single-chip microcomputer is connected with the ultrasonic emission head and ultrasonic receiving head installed on the inner wall of online measuring transfer box by line, the bottom side of online measuring transfer box is provided with liquid outlet pipe, one-way liquid outlet electromagnetic valve and liquid pump are installed on liquid outlet pipe, the top of online measuring transfer box is communicated with comprehensive measuring cylinder, the top of comprehensive measuring cylinder is communicated with water source by inlet pipe, inlet pump, anti-backflow electromagnetic valve and liquid flowmeter are installed on inlet pipe;While guaranteeing the accuracy of measurement result, it does not affect the operation of single liquid discharge operation, when single measurement operation detection result reaches early warning value, stop bit user end provides water source, realizes the online detection operation of water end.

The present invention relates to a method, apparatus, device, and storage medium for extracting sediment particle size secondary distribution. The method comprises: establishing a sediment particle size distribution model that integrates two probability density functions based on frequency data of the sediment particle size distribution; obtaining sediment particle size distribution model parameters based on the sediment particle size distribution model that integrates the two probability density functions; and determining particle size secondary distribution statistical parameters based on the sediment particle size distribution model parameters. The present invention solves the existing problem of extracting detrital sediment particle size secondary distribution, improving the accuracy and effectiveness of particle size secondary distribution extraction.

The present invention discloses a method for measuring the turbulence intensity of sediment-laden water flow in a sediment environment and its model. The model includes a water flow control system and a measurement system. The method includes determining the model input conditions, including the range of values ​​of sediment content and median sediment particle size; debugging and running the model, regulating the water flow control system, and measuring the water depth and flow velocity data of the model section; determining the model experimental conditions based on the uniform flow-turbulent flow-slow flow mode; collecting test data, measuring the pulsating pressure of the water flow at each measuring point; processing the collected test data, and outputting a quantitative index of the turbulence intensity of the sediment-laden water flow. The present invention replaces the pulsating flow velocity with the pulsating pressure as a quantitative index of the turbulence intensity of the sediment-laden water flow, while ensuring the measurement accuracy, not only improving the calculation efficiency, but also breaking through the technical bottleneck of high sediment content and extremely fine sediment particles, and providing certain technical support for conducting physical model test research on the turbulence characteristics of sediment-laden water flow, especially high sediment content water flow.

The present invention belongs to the technical field of monitoring the particle size of sediment particles, and in particular, relates to a sediment particle size monitoring device for monitoring river flow, comprising a conical tube, at least three conical tubes are installed in sequence from left to right, the outer tube wall of the conical tubes installed in sequence from left to right is designed to be non-contact with the other outer tube wall, the mesh formed by the tube wall of the conical tube on the left is located inside the conical tube on the right, and the diameters of the mesh holes opened on the tube walls of the three conical tubes decrease in sequence from left to right, a particle size monitoring component is detachably installed at the tube mouth of the leftmost conical tube through a supporting mechanism, and at least three conical tubes are installed in a river channel to be monitored by supporting a sedimentation component; the monitoring device of the present invention can not only monitor the particle size of the mixed sediment particles in the river, but also collect and sample the monitored sediment particles in a graded manner, thereby improving the application scope of the monitoring device of the present invention.

The present application provides a kind of phosphorus transport and distribution calculation method based on suspended sediment settling probability, comprising the following steps: selecting a typical section, field determination section sediment particle size distribution, sediment concentration and water velocity;According to the sediment concentration, etc., the settling velocity of single-component sediment is calculated and checked, and the settling velocity of full particle size suspended sediment is obtained by particle size distribution composition;According to the settling velocity of sediment and the sediment settling probability function, the particle state phosphorus transport trajectory is analyzed;Based on the phase separation model, the functional relationship between different particle size groups of sediment, i.e. different sediment concentrations and adsorption phase phosphorus is determined through laboratory experiment;The sediment particle size distribution grouping information and the settling velocity of full particle size suspended sediment are introduced into the hydrodynamic water quality model to analyze the transport process and distribution characteristics of particle phosphorus and dissolved phase phosphorus. This method realizes the numerical analysis of the particle phosphorus transport trajectory, settling velocity and solid-liquid two-phase distribution of full particle size sediment.

The present disclosure provides a method and device for measuring the particle size of underwater riverbed sediment, relating to the technical field of underwater sediment measurement. The specific implementation scheme is as follows: obtain multiple first riverbed sediment photos; perform noise reduction processing on the multiple first riverbed sediment photos by using the median averaging method to obtain a first sediment particle size photo; correct the first sediment particle size photo based on an image distortion correction algorithm to obtain a corrected first sediment particle size photo; determine first picture scale information according to the side length information of the square bottom surface of the cuboid frame in the device for measuring the particle size of underwater riverbed sediment and the corrected first sediment particle size photo; identify first riverbed sediment identification information from the corrected first sediment particle size photo, and obtain underwater riverbed sediment grading information according to the first riverbed sediment identification information and the first picture scale information, so as to improve the monitoring efficiency and accuracy of underwater riverbed sediment grading information.

The present invention provides a method and device for predicting the propagation time of sediment peaks in a reservoir area based on different types of floods, which can quickly and accurately determine the propagation time of sediment peaks in the reservoir area for different flood types. The method for predicting the propagation of sediment peaks in the reservoir area includes: Step 1, select the hydrological station at the end of the reservoir backwater as the incoming flow inlet hydrological station, obtain the daily data of the flow rate and sediment concentration, the relevant data of sediment particle size, and the relevant data of the water depth in front of the reservoir dam at this station, and statistically analyze the relevant characteristic quantities when floods occur at the incoming flow hydrological station; Step 2, determine the specific flood type based on the fisher time and the peak shape of the flood itself; Step 3, deduce the movement speed of the water body propagating to the hydrological station in the reservoir area according to the characteristics of the incoming flood events and the position relationship of the hydrological stations in the reservoir area, and calculate the movement time of the water flow in the reservoir area; Step 4, calculate the influence of the asynchronous sediment peak of the initial flood peak and the flood duration; Step 5, calculate the propagation time of the sediment peak of this flood event according to the type of the flood event.

The system comprises a water storage tank, a water pump and an incubator, the incubator comprises an incubator body, the interior of the incubator body is divided into at least one water flow channel serving as a working condition area through a waterproof partition plate, the other end of each flow channel is provided with a water outlet, and the other end of each water flow channel is provided with a water inlet. At least one hatching box is arranged above the gravel-cobble in the flow channel in the water flow direction, the gravel-cobble is laid at the bottom, sediment is laid on the gravel-cobble, and the gravel-cobble and the sediment are immersed in water with a certain flow speed. The oxygen enrichment process of a natural river channel is simulated through the water flow channel, gravel-cobble is laid at the bottom of the hatching box, a substrate of the natural environment is simulated, then roes and silt are arranged on the gravel-cobble, the silt and the roes are naturally deposited in the gravel-cobble, the influence on roe hatching under the real silt deposition condition can be simulated, and the hatching efficiency is improved. The influence of sediment deposition on roe incubation can be qualitatively observed, and the influence of sediment particle size deposition on a roe incubation mechanism can be observed.

The invention discloses a lake basin deepwater fine-grained sediment source analysis method and device, and the method comprises the steps: obtaining sedimentary microfacies recognition result data of a rock core sample of a to-be-detected lake basin region, and generating a sedimentary microfacies profile map of a single well high-frequency sequence; obtaining the fragment zircon age distribution in the fine grain sediment; utilizing the sedimentary microfacies profile map and the detrital zircon age distribution to determine the source associated information of the fine-grained sediment in the same deposition time period; the source associated information comprises fine-grained sediments from the same source; carrying out paleo-landform reduction analysis, paleo-water depth reduction analysis and sediment particle size distribution analysis on the lake basin area to be detected, and outputting sediment carrying characteristic data and sediment distribution characteristic data; based on the object source correlation information, the sediment carrying characteristic data and the deposition distribution characteristic data, density flow deposition body distribution characteristics are analyzed through a well seismic isochronous profile, and a deposition microfacies distribution diagram is output. According to the method, lake basin deepwater fine particle mixed deposition superposed material sources can be distinguished.

The invention discloses a method and equipment for testing agglomerated and deposited asphaltene particles and deposition thickness, which are characterized in that crude oil and a settling agent are mixed under a set temperature condition, the mixed mixture gradually enters a sample tube, when a test tube is filled with the mixture, the crude oil is injected into the sample tube at different flow rates respectively, and the settling agent is added into the sample tube; recording the inlet pressure and the outlet pressure of the sample tube in real time; calculating the pressure difference of the sample tube, and calculating the deposition thickness of asphaltene in the crude oil at different flow velocities in real time based on the pressure difference of the sample tube; when the experiment is finished, collecting the sediments in the mixed liquid, obtaining the initial particle size of the sediments in the mixed liquid, replacing the residual liquid in the sample tube, drying and collecting the sediments precipitated in the sample tube, and obtaining the particle size of the sediments collected at the moment; according to the method, the deposition thickness of asphaltene in deposited crude oil at different flow rates and the particle size of deposited particles can be obtained, and prediction of the size and the deposition thickness of asphalt agglomerated deposited particles in application is facilitated.

The method for tracing a sediment source, including: sampling at sampling points and multiple additional testing points around each sampling point; measuring sediment grain size distribution and corresponding mass percentages to plot sediment grain size distribution curves of each sampling point and its additional testing points; plotting a sediment fingerprint matrix of each sampling point; comparing patterns of the sediment fingerprint matrix of the first sampling point with patterns of the sediment fingerprint matrix of the second sampling point, and determining whether sediment at the first sampling point and that at the second sampling point have the same source. The sediment fingerprint matrix that illustrates the variation of sediment characteristics in different grain size intervals. In addition, by comparing the sediment characteristics in the corresponding grain size intervals, the tracing and classification of sediment from different locations can be achieved.

The method for tracing a sediment source, including: sampling at sampling points and multiple additional testing points around each sampling point; measuring sediment grain size distribution and corresponding mass percentages to plot sediment grain size distribution curves of each sampling point and its additional testing points; plotting a sediment fingerprint matrix of each sampling point; comparing patterns of the sediment fingerprint matrix of the first sampling point with patterns of the sediment fingerprint matrix of the second sampling point, and determining whether sediment at the first sampling point and that at the second sampling point have the same source. The present disclosure provides the sediment fingerprint matrix that illustrates the variation of sediment characteristics in different grain size intervals. In addition, by comparing the sediment characteristics in the corresponding grain size intervals, the precise tracing and classification of sediment from different locations can be achieved.

The application discloses a kind of based on Doppler flow velocity profiler multilayer sediment sound signal attenuation correction's bed load sediment transport rate measurement method, comprising: in the floodplain area of the river reach to be measured, the bed surface of sediment is sampled, and the bed material gradation is measured, and the median size of bed sand is obtained;Obtain flow data, and extract ship speed data from flow data;According to ship speed data, calculate riverbed movement speed;Filter riverbed movement speed data, and calculate the eigenvalue of filtered riverbed movement speed data;According to the eigenvalue of filtered riverbed movement speed data, respectively calculate bed load vertical projection area ratio;According to bed sand median size, calculate dimensionless sediment particle size;According to dimensionless sediment particle size, calculate bed load layer thickness;According to bed load vertical projection area ratio and bed load layer thickness, calculate bed load volume concentration;According to bed load volume concentration, calculate multilayer sediment sound signal attenuation correction coefficient;According to multilayer sediment sound signal attenuation correction coefficient, calculate bed load sediment transport rate.The application accurately and effectively measures bed load sediment transport rate.

The utility model discloses a water-turbine generator set sediment characteristic on-line detection and fault prediction system, which structurally comprises a vibration sensor, a flow velocity sensor, an integrated throw-in type liquid level meter sensor, a turbidity sensor, a laser particle size analyzer data acquisition module, a Raspberry Pi, a network database data processing module and a transmission storage module, and an online platform data display module. According to the utility model, by collecting and analyzing data of various sensors, reservoir basic information, reservoir sediment characteristics and specific information of the proportion of clay mineral components can be displayed to a user in the forms of a textbox, a data pie chart and the like, data uploaded to a MySQL database by a monitoring platform can be read in real time, and data visualization is realized in the forms of a broken line chart and the like; and displaying various data obtained by each sensor, including depth, pressure, surface velocity, sediment content and sediment particle size, and fusing a neural network model obtained by Keras deep learning framework training into a page system to predict the sediment content.

The invention provides a seabed stability evaluation method and device in an offshore photovoltaic scene, a medium and equipment, and relates to the technical field of computers. The method comprises the following steps: collecting seabed surface sediments in an offshore area, determining sediment particle size characteristics and sediment type characteristics according to the collected seabed surface sediments, and evaluating the sediment stability according to the sediment particle size characteristics and the sediment type characteristics; the method comprises the steps of determining historical shoreline data and historical isobath data corresponding to an offshore area in an offshore photovoltaic scene, determining a shoreline advance and retreat rate according to the historical shoreline data, determining an isobath displacement rate according to the historical isobath data, and determining a seabed erosion and deposition rate by combining the shoreline advance and retreat rate and the isobath displacement rate. Evaluating the scouring and silting stability according to the seabed scouring and silting rate; and evaluating the seabed stability by using the evaluation result of the sediment stability and the evaluation result of the erosion and deposition stability. According to the invention, the accuracy of seabed stability evaluation in the offshore photovoltaic scene can be improved.

This invention relates to the field of riverbed sediment measurement technology, and in particular to an image-based method, apparatus, equipment, and computer storage medium for riverbed sediment measurement. Under conditions where low-altitude drone flight is possible, this invention acquires images of the target riverbed sediment sampled by the drone at an altitude below the maximum flight altitude of a first drone, and then performs sediment particle size detection. Under conditions where low-altitude drone flight is not possible, it acquires images of the target riverbed sediment sampled by the drone at an altitude below the maximum flight altitude of a second drone, and inputs these images into a target sediment image super-resolution model to obtain a target super-resolution riverbed sediment image, which is then used for sediment particle size detection. This invention effectively improves the accuracy of riverbed sediment measurement.

The invention discloses an underwater sediment particle size measurement system based on laser light curtain imaging. The underwater sediment particle size measurement system comprises an upper computer, a waterproof metal isolation bin, and a laser light curtain irradiation module, a microscopic optical imaging module and an image sensing module which are mounted in the waterproof metal isolation bin, an optical window is arranged on the waterproof metal isolation bin; the laser light curtain irradiation module is used for generating a stable and uniform laser light curtain, outputting the laser light curtain from an optical window, and exposing and displaying to-be-detected sediment particles; the microscopic optical imaging module is used for realizing high-definition dark field imaging of sediment particles in a laser light curtain plane; the image sensing module is used for acquiring an image of the sediment particles to be detected in real time and uploading the image to the upper computer; and the upper computer is used for processing the to-be-measured sediment particle image so as to measure the sediment particle size. The invention provides a new solution for real-time measurement of the particle size of underwater sediment particles, and has a great application prospect.

The application discloses a kind of asphaltene agglomerated deposition particles and deposition thickness test method and equipment, under the condition of setting temperature, crude oil and settling agent are mixed, the mixture after mixing gradually enters sample tube, when mixture fills test tube, crude oil is injected into sample tube at different flow rates respectively, the inlet pressure and outlet pressure of sample tube are recorded in real time;The pressure difference of sample tube is calculated, and the deposition thickness of asphaltene in crude oil under different flow rates is calculated in real time based on the pressure difference of sample tube;When experiment ends, the deposit in mixed liquid is collected, the initial particle size of deposit in mixed liquid is obtained, the residual liquid in sample tube is replaced, the deposit precipitated in sample tube is dried and collected, and the particle size of the deposit collected at this time is obtained, the method can obtain the deposition thickness and the particle size of deposition particles of asphaltene in deposited crude oil under different flow rates, which is convenient for predicting the size of asphaltene agglomerated deposition particles and deposition thickness in application.

The application discloses a reservoir sedimentation risk two-dimensional evaluation method, comprising the following steps: determining reservoir sedimentation risk evaluation indexes; evaluating reservoir sedimentation present situation; evaluating reservoir sedimentation future development trend; constructing a reservoir sedimentation risk two-dimensional evaluation graph, evaluating reservoir sedimentation risk zoning; analyzing reservoir sedimentation risk regional characteristics; determining reservoir sedimentation risk control measures and engineering quantity schemes. The application comprehensively considers factors such as reservoir sedimentation amount, incoming water and sediment conditions, sediment particle size distribution and slope, quantitatively evaluates reservoir sedimentation risk from two aspects of reservoir sedimentation present situation and future development trend, accurately identifies reservoir groups with the most urgent needs of sedimentation control and reservoir capacity recovery, and gives reservoir sedimentation risk control schemes, which are important bases for reservoir sedimentation control and function recovery.

The present invention belongs to the technical field of water conservancy engineering, and proposes a system and method for measuring the particle size distribution of sediment particles, the method comprising: collecting images of sediment particles in a water body to obtain a first sediment particle image; processing the first sediment particle image to obtain a sediment grayscale image; clustering the sediment grayscale image using a K-means clustering algorithm to obtain an image with a primary clustering result; clustering the sediment particles with a particle size less than a preset threshold in the image with the primary clustering result using a DBSCN clustering algorithm to obtain an image with a secondary clustering result; edge detection of the sediment particles in the image with the secondary clustering result, and then sequentially performing binarization processing, equivalent circle diameter transformation, and statistical sediment particle size distribution to obtain a particle size distribution result. The present invention solves the problem of low measurement accuracy of the existing sediment particle size measurement system in a complex underwater environment with dense sediment and a large number of fine particles.