674results about How to "Accurate data" patented technology

The invention relates to the technical field of pipeline welding seam identification and measurement, aims to solve the problem of uncontrollable data acquisition quality and the problems of robustness and precision of single-feature welding seam extraction, and provides a nuclear power station pipeline welding seam automatic identification and measurement method which comprises the following steps: accurately acquiring pipeline data under a self-adaptive front view posture; carrying out point cloud data processing on the collected data, and carrying out fitting of a pipeline model after segmenting out part of point cloud of the pipeline; after pipeline modeling is completed, a multi-dimensional data fusion method is adopted for weld joint recognition; and after the welding seam area is back projected back to the three-dimensional point cloud space, three-dimensional point cloud of the welding seam area is obtained, modeling is conducted on the welding seam area in combination with the pipeline model, and finally measurement data of the welding seam are obtained. According to the invention, automatic hand-eye calibration and multi-camera calibration of the guiding system can be realized without manual intervention.

The invention relates to an aircraft nose landing gear taxiing and shimmy simulation test bed. The test bed comprises a test device main body structure, a power execution control mechanism, a vibration excitation mechanism and a vibration detection system. The method solves the problems of determination, contrast evaluation and detection analysis of the shimmy influence factors of the nose landing gear of the aircraft. The torsion steering engine is added, so that the turning condition of a ground plane can be simulated. The height-adjustable supporting cross beam can adapt to undercarriages of different sizes only by replacing the undercarriage clamp instead of replacing the whole frame, so that the use cost is greatly reduced. And more accurate data are provided for the design of the nose landing gear of the aircraft.

The invention relates to the technical field of computer data processing, in particular to a multi-model collaborative distillation and dynamic fine tuning model training method and system. The method comprises the steps that data collection is conducted, unlabeled data are input into a model to be made into labeled data, the labeled data and labeled data are integrated into a data set, and then the data set is divided into a training set, a verification set and a test set; inputting the training set into the model, guiding the model to generate extended data by cue words, and training a student model by using an extended training set; the student model is evaluated on the verification set, if the evaluation result shows that the evaluation index of the student model does not reach the expected value, error information is input into the model for analysis and data generation, and then the student model is adjusted until the evaluation index of the student model reaches the expected value; the method has the advantages that multiple large language models are used for collaborative distillation, training data are richer and more diversified, student models are more accurate, and the student models are circularly and dynamically fine-tuned, so that the models are higher in precision and adaptability.

The invention discloses a calibration method for a wind meter, and the method comprises the steps: obtaining the collected environment data in a wind field environment, and the wind power data, outputted by the wind meter, of the wind field environment; comparing the wind power data with preset standard wind power data, and determining an initial compensation coefficient of the wind meter; determining an influence factor corresponding to the environmental data, and determining an environmental compensation parameter according to the influence factor; wherein the influence factor is used for representing a parameter of the influence degree of the environmental data on the output of the wind meter; and obtaining a target compensation coefficient based on the environment compensation coefficient and the initial compensation coefficient, and calibrating the wind meter according to the target compensation coefficient. The problem that the calibration accuracy is low in the calibration process of the wind meter in the prior art is solved.

The invention relates to the technical field of robot teaching-free welding, and particularly discloses a robot teaching-free welding system based on visual localization and a welding method.The robot teaching-free welding system comprises a PLC, a power module, a wireless communication module and a visual localization coordinate conversion module. The path planning optimization module directly generates a welding path according to a visual positioning result, tedious operation is reduced, the problem of poor dependence and adaptability on pre-stored data is solved, the visual acquisition module and the positioning module work cooperatively, workpiece position and posture information is updated in real time, and the positioning precision is improved. The teaching-free intelligent decision-making and optimization module is combined with real-time data to adjust a path and parameters, the image processing and path planning optimization module generates a proper path according to image information for a complex workpiece, the sensor fusion module fuses vision and other sensor data, the adaptability of the system to the complex workpiece is enhanced, and the welding quality is guaranteed.

The invention discloses a spring operating mechanism fault detection and optimization method and a related device, and the method comprises the steps: carrying out the real-time collection of key data of a spring operating mechanism through a stress sensor, a speed sensor and a vibration sensor; based on the collected key data, constructing a multi-dimensional data framework to obtain a multi-dimensional data set; fault feature extraction and data analysis are carried out on the obtained multi-dimensional data set, an adaptive fault model is constructed based on the extracted fault features, and then a real-time fault detection result is obtained through multi-modal data fusion; and optimizing a stress sensor, a speed sensor and a vibration sensor by utilizing automatic calibration and optimization of reinforcement learning according to the real-time fault detection result. Compared with a traditional fault detection method, high-precision real-time monitoring and fault prediction of the spring operating mechanism are achieved through the multi-modal data fusion and deep learning technology, and comprehensive and reliable technical support is provided for safe operation and maintenance optimization of equipment.

According to the rice field methane emission prediction method based on the CH4MN model, the influence of the rice field methane emission microorganism process and soil nitrogen is considered, the uncertainty of simulation is reduced, and rice field methane emission is accurately predicted. Comprising the following steps: S1, acquiring rice field agricultural production input, water management measures, meteorological data, observed rice field soil environment information, rice information and microorganism information as input data of a CH4MN model; s2, based on a CH4MN model algorithm, calculating a substrate source and a soil environment required by methane generation, and the influence of soil nitrogen on organic matter decomposition; s3, calculating the influence of soil oxidation reduction potential, microorganisms and rice plants on methane generation and oxidation based on a CH4MN model algorithm; s4, calculating a methane generation rate and an emission rate based on a CH4MN model algorithm by using the methane generation and oxidation influence factors calculated in the step S1-3; and S5, verifying the CH4MN model precision based on point observation information.

The invention discloses a method for aided analysis of influence of 5 'UTR on mRNA translation efficiency based on a machine learning model, and relates to the technical field of synthetic biology and computational biology, the method comprises the following steps: S1, constructing a 5' UTR plasmid library; s2, transcribing the 5 'UTR plasmid into an independent mRNA (messenger ribonucleic acid) with a luciferase-opt luciferase, and taking the luminous intensity of the luciferase-opt luciferase as the translation intensity of the mRNA; s3, analyzing characteristics related to protein expression intensity of the mRNA; and S4, constructing a random forest algorithm model on the basis of the features analyzed in the step S3 to predict the influence of the 5 'UTR on the mRNA translation efficiency. According to the method for auxiliary analysis of the influence of the 5 'UTR on the mRNA translation efficiency based on the machine learning model, a feasible technical route reference is provided for sequence optimization of mRNA in subsequent mRNA vaccine development, so that the mRNA vaccine can efficiently express target protein in a body.

The invention relates to a stress corrosion testing device which is characterized in that a tensile sample is soaked in a corrosion medium of a glass container, so that a stress corrosion simulation test of the tensile sample under the condition of the corrosion medium is realized; the tensile force value acting on the tensile sample is obtained through the control instrument, when the tensile force value is lower than a set value, the tensile force value is detected by the control instrument, an electric signal is sent to enable the tensile loading unit to act, and the tensile force load acting on the tensile sample tends to be constant through the stretching action of the tensile loading unit and automatic supplementation of the tensile force. Compared with the situation that large errors exist in supplementing time and a supplementing force value due to manual tension supplementing, the tension is automatically supplemented through the tension loading unit, constant tension load is guaranteed, the accuracy of a tension sample stress corrosion test is guaranteed, the accuracy of parameters obtained through the test such as fracture time is improved, and the test efficiency is improved. And more accurate data is provided for researching the stress corrosion process of the tensile sample, so that accurate quantitative guarantee is provided for the service safety of the tensile sample.

The invention relates to the technical field of photovoltaic pipe pile construction, and discloses a mountain abrupt slope pipe pile construction perpendicularity monitoring device which comprises a laser distance measuring sensor, a pitching assembly and a rotating assembly. The pitching assembly comprises a rotary disc, a pitching frame and a pitching sensor, a rotary motor and a worm and gear mechanism are arranged on the rotary disc, the rotary motor can drive the laser distance measuring sensor to do pitching motion on the rotary disc through the worm and gear mechanism when rotating, and the pitching sensor can accurately monitor the pitching angle of the laser distance measuring sensor; the rotary assembly comprises a bearing disc, a rotary motor, a reciprocating cylindrical cam and a rack are arranged on the bearing disc, a gear is arranged on the rotary disc, and the rotary motor can drive the rotary disc to swing at the uniform angular speed in a reciprocating mode when rotating at the constant speed. In the pile sinking operation process, the mountain abrupt slope pipe pile construction perpendicularity monitoring device can automatically monitor the inclination degree of a pipe pile on line, and when the pipe pile inclines, automatic scanning can be conducted, and accurate inclination data can be simulated through simulation.

The invention discloses a hardness testing device for cured resin for dental implant molding, and relates to the technical field of resin hardness testing. Comprising a test installation part, a driving butt joint part is installed on the test installation part, and a closed butt joint part is installed on the test installation part; the closed butt joint piece is used for driving the butt joint piece in a negative pressure suction mode. The interior of the driving butt joint piece is used for injecting resin; an adhesive force detection piece is mounted on the test mounting piece; the adhesive force detection piece is used for upwards moving and jacking the cured resin; a middle curing test piece is mounted on the adhesive force detection piece; the grinding control piece can be used for grinding the surface of the resin when the hardness of the resin is detected, so that the detection surface of the resin is vertical to the hardness detection ejector pin, and the accuracy of a detection value is ensured; the problem that an existing cured resin hardness testing device for tooth implantation forming is inconvenient to automatically control a hardness needle to be perpendicular to a resin detection surface during resin hardness detection is solved.

The invention discloses a permeable concrete pavement permeability testing device, which relates to the technical field of concrete testing, and comprises a sample upper fixing seat, a sample lower fixing seat, a sealing cover, a water collecting cover, a water storage pipe and a flow meter. A water supplementing pipe is arranged above the water storage pipe, a floating ball is arranged at the bottom end of the water supplementing pipe, a movable pipe is arranged at the top end of the floating ball through a connecting rod, and a fixed pipe is arranged on the outer side of the movable pipe; a flow guide groove and a connecting groove are formed between the movable pipe and the fixed pipe, when the floating ball moves downwards due to the fact that the liquid level in the water storage pipe is lowered, the flow guide groove is communicated with the connecting groove, water in the water supplementing pipe can enter the water storage pipe and the water collecting cover, then the porosity of a sample can be measured, and the water permeability performance of the sample under different stable water pressures can be tested. And support is provided for large-area construction of the pervious concrete, so that a better construction effect is achieved.

The invention relates to the technical field of warm air blower monitoring, and particularly discloses a warm air blower monitoring method and system based on the Internet of Things, the warm air blower comprises a fan and a heating component and is applied to an Internet of Things monitoring module, and the method comprises the steps that indoor real-time environment information and set running state information of the warm air blower are obtained based on the Internet of Things monitoring module, the set operation state information comprises an air outlet speed value of a fan and a heating power value of a heating part; acquiring a plurality of divided areas according to the indoor real-time environment information, and acquiring an area air resistance value and a temperature diffusion value of each divided area; and according to the regional air resistance value, a regional airflow blocking value corresponding to each divided region is obtained, and the indoor airflow attenuation degree is calculated according to the air outlet speed value and the regional airflow blocking values corresponding to all the divided regions. The airflow attenuation degree is accurately calculated, the airflow loss details are clearly presented, the wind speed is reasonably adjusted in an assisted mode, and heat is evenly distributed.

The invention belongs to the technical field of power generation power prediction, and particularly relates to an intelligent prediction method for photovoltaic short-term power generation power combination, which comprises a plurality of photovoltaic modules and a power generation power combination prediction system, and air cleanliness testers are arranged around the plurality of photovoltaic modules. An air dust detection module is arranged in the air cleanliness tester, and the power generation power combined prediction system comprises an intelligent network end module, an intelligent prediction module and a block chain center module. The intelligent network end module comprises a haze unit, a wind power unit and a geographical environment unit, the intelligent network end module is electrically connected with the intelligent prediction module, and the intelligent prediction module is electrically connected with the block chain center module. And due to the fact that dust and dirt are accumulated on the photovoltaic surface, the sunlight absorption capacity of the photovoltaic system is reduced, and predicted generated power data are not accurate.

The invention relates to the field of steel belt monitoring, in particular to a steel belt automatic deviation correction method based on machine vision, and the method comprises the steps: obtaining an image when a steel belt works, calculating the self-adaptive standard deviation of each pixel point in the image in a bilateral filtering algorithm, and carrying out the denoising of the image through the bilateral filtering algorithm, so as to obtain an optimal image; performing edge detection on the optimal image to obtain the edge of the steel belt, calculating the distance between the edge of the steel belt and the standard position, and adjusting a guide roller according to the obtained distance to enable the steel belt to be located in the standard position range; the position identification accuracy of the steel belt can be improved, and deviation correction of the steel belt is facilitated.

The invention provides an aviation tail thrust clutch system lubrication and cooling performance test verification system which comprises a motor driving module, a lubrication and control module, a flow measurement module and a temperature measurement module and is used for testing an aviation wet clutch to be tested. According to the invention, regulation and control of different rotating speeds, different loads, different working states and flow input can be carried out, the flow of inlet and return lubricating oil and the temperature of return oil are measured so as to carry out a comparative test and the like, and comparative analysis with a simulation result is carried out so as to verify the correctness of a simulation method; the lubrication design is full-system lubrication based on axis oil supply and considering the internal and external spline pair, the multi-piece friction pair and the bearing, key parts can be ensured to be lubricated and are closer to actual requirements, meanwhile, a circulating oil path is designed, oil waste in the test process can be reduced, the cost is saved, and therefore the test efficiency is improved. Good test conditions are provided for the research on the lubricating and cooling performance of the aviation tail thrust clutch system.

The invention discloses a metal material low-temperature fracture toughness testing device for a fatigue testing machine, relates to the technical field of material mechanical property testing, and solves the problem that room-temperature and low-temperature material testing cannot be performed on the same testing device. The device comprises a test barrel, an inner container, an extensometer, an upper joint and a lower joint, wherein the inner container is arranged in the test barrel; the extensometer is in contact with the sample and returns a real-time mechanical signal; the upper end of the upper connector is connected with a hydraulic chuck above the fatigue testing machine, and the lower end of the lower connector penetrates through the inner container and the testing barrel to be connected with a hydraulic chuck below the fatigue testing machine; the upper joint and the lower joint are opposite to each other and are used for clamping a sample; a sealing structure is arranged between the lower connector and the inner container. According to the invention, a testing machine does not need to be transformed, testing conditions for samples with different sizes are obtained by replacing different accessories, and meanwhile, a testing clamp can be replaced to test the mechanical properties of materials under different environmental conditions.

The invention discloses a nondestructive testing method for an internal pore structure of foam light soil, which is characterized by comprising the following steps of: 1, taking a cube foam light soil test piece with the side length of 40mm, placing the maintained test piece on a sample table, scanning around the test piece for a circle by using an X-CT (X-ray computed tomography) scanner, enabling X-rays to penetrate through different layers of the test piece, the detector receives attenuated information of different layers, the information is converted through software and then input into a computer for reconstruction, and a gray level image is obtained; and 2, Image-ProPlus analysis software is adopted to process the gray level image, a threshold value of the gray level image is automatically identified, a WatershedSplit algorithm of the Image-ProPlus analysis software is utilized to segment the automatically identified gray level image again, and then binarization processing is carried out on the segmented image. The method can realize nondestructive testing of the internal porosity, pore size distribution, pore shape factor and average pore size of the foam light soil, and is simple and convenient to operate, accurate in data, visual in result and high in practicability.

The invention discloses a soil moisture motion inversion method and system based on soil moisture distribution. The method comprises the steps of obtaining geological data and hydrological data of a drainage basin; based on the geological data and the hydrological data, constructing a physical drainage basin hydrological model; simulating a soil moisture distribution time sequence result and a soil moisture movement time sequence result of the whole watershed at any moment under various working conditions by utilizing a physical watershed hydrological model, and constructing a data set; constructing a deep learning model for each grid node in the physical basin hydrological model, and training the deep learning model by using the data set and the geological data; and utilizing the trained deep learning model to realize soil moisture motion inversion. According to the method, soil moisture distribution easy to observe serves as input, the deep learning model serves as a function approximator, soil moisture movement difficult to observe for a long time in the watershed scale is inverted, and a scientific theoretical basis is provided for deeply understanding a watershed scale soil moisture movement system.

The invention relates to an aero seat static strength test platform and test method, and relates to the technical field of aero seat static strength tests. The test platform comprises a test platform body capable of rotating by 1-360 degrees, a distance automatic adjusting seat fixing track, an automatic adjusting hydraulic action system, an automatic adjusting prosthesis module, an ATD dummy, a seven-axis or more measuring arm, a seat deformation measuring system and a control module, and a test seat is arranged on the distance automatic adjusting seat fixing track. The automatic adjusting prosthesis module and the ATD dummy are both arranged on the test seat, the automatic adjusting hydraulic action system is used for applying external force to the automatic adjusting prosthesis module, the ATD dummy and the seven-axis or more measuring arms are used for measuring SRP points, and the seat deformation measuring system is used for measuring test results of the test seat. The civil aircraft aero seat static strength test device has the effect of improving the civil aircraft aero seat static strength test efficiency and the test data accuracy.

The utility model discloses an on-site surveying and mapping device, and relates to the technical field of construction cost. The surveying instrument comprises a mounting plate, a surveying instrument body and a clamping assembly are arranged on the two sides of the upper surface of the mounting plate respectively, and a supporting assembly is further arranged below the mounting plate; an L-shaped arm in the clamping assembly is movably connected to one side of the upper surface of the mounting plate through a first lead screw, and a second lead screw is rotationally connected into a vertical supporting arm of the L-shaped arm in the vertical direction. The distance between the L-shaped arms is adjusted through the first lead screw in the clamping assembly, and the upper end and the lower end of paper are fixed through the U-shaped frames and the placing blocks on the L-shaped arms, so that surveying and mapping data can be conveniently recorded; the four corners of an adjusting plate are driven to move through threaded connection between a rotating rod and a threaded rod in the supporting assembly, so that horizontal adjustment of the adjusting plate is achieved, and the problems that in the prior art, surveying and mapping data are inconvenient to record, and horizontal adjustment of the surveying and mapping instrument body is inconvenient are solved.

The invention discloses a purity analysis method for crude vinyl chloride in a conversion process, which comprises the following steps: after sampling, carrying out qualitative and quantitative analysis on small molecule components in the crude vinyl chloride, then analyzing acetylene and high-boiling residues in the crude vinyl chloride, and calculating the purity of the crude vinyl chloride according to a deduction method. Compared with the prior art, the aluminum foil sampling bag is adopted for sampling, so that the problem of poor sample representativeness is solved; the content of the high-boiling residues in the crude vinyl chloride can be accurately analyzed by adopting gas chromatography, so that the accuracy and precision of analysis data are improved; according to the method, gas chromatography is adopted to completely replace a dichloroethane absorption method, so that the working intensity of workers is reduced, and the method has the effects of safety, environmental protection and low energy consumption.

The invention discloses an intelligent real estate mobile terminal drop house system and method, and relates to the technical field of real estate registration, and the system comprises a data collection module which is used for collecting preference information of a user; the intelligent recommendation module is used for recommending related real estate information according to the preference information of the user acquired by the data acquisition module; the evaluation module is used for surveying and mapping the real estate according to the information of the data acquisition module and evaluating the value and potential risk of the real estate; information of real estate can be recommended in combination with requirements and characteristics of users, and personalized recommendation can improve user satisfaction and application stickiness, increase possibility of real estate transaction, optimize user experience and reduce search time; accurate real estate data can also be provided at the mobile terminal, the user is helped to make a more intelligent decision, and the user is assisted to quickly understand various information of logging in real estate at the mobile terminal.

The invention provides a chain strength testing mechanism, and belongs to the technical field of chain strength testing. Comprising a machine body, the top of the machine body is provided with a rack rail frame, the front end of the rack rail frame is connected with an industrial camera in a meshed mode, one end of the rack rail frame is provided with a sliding groove support, the interior of the sliding groove support is slidably connected with a sliding block, and the front end of the sliding block is provided with a cavity. By arranging the supporting adjusting assembly and the latch expansion assembly, the chain testing device without a clamping structure can adapt to chains of multiple sizes, simulate working states under different tension forces and cyclic loads, comprehensively record the strength and durability of the chain in different environments, and improve the testing efficiency. It is ensured that the chain can bear the expected load in the working process, the quality of the chain is improved, the service life of the chain is accurately controlled, and the problems of chain jumping, breakage, deformation and the like caused by the chain in a continuous stretching and abrasion acceleration transmission system are solved, and the operation safety and the transmission efficiency are affected.

The invention discloses a smart watch health information monitoring and management system based on an AI technology, and relates to the technical field of smart watch health information monitoring, and the system comprises a data collection module which collects various physiological and environmental data; the data preprocessing module is used for processing data by using improved mean filtering, linear interpolation and normalization; the health state analysis module is used for constructing a model by using various neural networks, analyzing the health state according to the multi-data feature vector and predicting the disease risk; the health information management module is used for storing data, building archives, giving personalized suggestions to the user and being in butt joint with a third-party platform; and the interaction module comprises a plurality of interaction devices, can check information, set parameters and receive notices, and is additionally provided with units such as exercise data acquisition and model optimization to assist the realization of system functions. The multi-element high-precision sensor is integrated to accurately collect data, the AI algorithm accurately analyzes the health state and the disease risk, double storage guarantees data safety, sharing is facilitated, the multi-interaction mode is convenient to operate, and user health is comprehensively protected.

The invention provides a data acquisition device and a data acquisition method for a workpiece. The device comprises a shell, a plurality of projection devices, a plurality of visual sensors and a control device, the control method comprises the following steps: determining a target acquisition mode in a plurality of acquisition modes according to an acquisition instruction; and controlling a visual sensor and a projection device corresponding to the target acquisition mode to perform data acquisition on the workpiece to obtain a workpiece point cloud. According to the invention, convenient and economical data acquisition for workpieces under different working conditions is realized.

The utility model relates to the technical field of environment monitoring, and discloses a water quality sampling device for river and lake water environment monitoring, which comprises a box body, the upper part of the box body is fixedly connected with a fixing frame, the left side of the upper part of the fixing frame is fixedly connected with a bottom plate, and the two sides of the upper part of the bottom plate are fixedly connected with fixing plates; a first motor is arranged on the right portion of the right fixing plate and fixedly connected to the right side of the upper portion of the bottom plate, the output end of the first motor is fixedly connected with a rotating shaft, the rotating shaft is rotatably connected to the lower side of the right portion of the right fixing plate, a first gear is fixedly connected to the outside of the rotating shaft, and a second gear is connected to the upper portion of the first gear in an engaged mode. A rope winding drum is arranged on the inner side of the fixing plate, and a connecting shaft is fixedly connected to the outer portion of the rope winding drum. According to the device, the lifting plate can be driven to move downwards, the universal wheels can be driven to move and extend out of the box body, and therefore a worker can conveniently move the device to a proper position through the push handle.

The utility model belongs to the technical field of automobile headrest rod detection, and particularly relates to an automobile headrest rod compression resistance detection device which comprises a supporting workbench, a placing table is arranged on the surface of the top of the supporting workbench, the bottom end of the placing table is connected with an arc-shaped block, the bottom end of the placing table is connected with a rotating shaft, and the arc-shaped block is connected with the rotating shaft. A servo motor is installed in the supporting workbench, a supporting plate is installed on the side wall of the protection box, a control panel is installed at the top end of the supporting plate, and two fixing assemblies are correspondingly arranged at the top end of the containing table. According to the compression resistance detection device, compression resistance detection can be carried out by adjusting the multi-direction angle of the automobile headrest rod, compression resistance detection data can be obtained more accurately, meanwhile, movement cannot be carried out when the direction is adjusted through rotation, movement cannot occur in the detection process, the situation that the compression resistance detection data is reduced due to movement of the automobile headrest rod is avoided, and then the practicability of the compression resistance detection device is improved.

The invention relates to a hanging basket bottom die positioning and monitoring device and a using method thereof.The hanging basket bottom die positioning and monitoring device comprises a prism leveling device and a full-automatic total station, the full-automatic total station is installed on a continuous beam box beam bottom plate, and a direction induction receiving end is installed at the top of the full-automatic total station; each prism leveling device comprises a vertical centering rod, two adjusting rods, a central control platform, a rotary sub-control platform, a rotary control motor, a mounting base, a prism and a direction induction transmitting end, the vertical centering rod is vertically fixed below the central control platform, and the adjusting rods are hinged below the central control platform; the bottom of the vertical centering rod and the bottom of the adjusting rod are correspondingly installed on the bottom formwork. Adjusting rod hydraulic adjusting telescopic rods are respectively arranged in the adjusting rods; a vertical rod hydraulic adjusting telescopic rod is arranged between the central control platform and the rotary sub-control platform; the fixed end of the rotation control motor is installed on the rotation sub-control platform, and the movable end is provided with a prism. And the direction induction transmitting end is arranged on the prism. According to the invention, the coordinate of the monitoring point can be accurately monitored.

The invention belongs to and discloses an accurate matrix acquisition device for a vertical flow constructed wetland model, which comprises a simulation mechanism, and the simulation mechanism is provided with an auxiliary mechanism in a matched manner; the simulation mechanism comprises a simulation container filled with a matrix, a plurality of matrix sampling ports are longitudinally formed in the side wall of the simulation container, and sampling is carried out in the simulation experiment process; the auxiliary mechanism comprises a semi-cylindrical groove matched with the simulation container, the simulation container is connected in the semi-cylindrical groove in a sliding mode, an ejection assembly is arranged at the bottom end of the semi-cylindrical groove, the ejection assembly is in transmission connection with the simulation container, and the ejection assembly abuts against the end of a matrix in the simulation container; the push-out device is used for pushing out the matrix in the simulation container after the simulation experiment is finished. The device is accurate in matrix collection, high in efficiency, easy and convenient to operate and low in cost, target matrixes of different layers can be accurately collected, the problem that the original matrix structure is effectively protected when the matrixes are collected in different periods is solved, and normal operation of subsequent experiments and reliability of results are ensured.