2556results about "Fluid speed measurement" patented technology

The invention discloses a device for measuring flowability of explosive modeling powder, which comprises a step-press-loading analogue unit, a timing and weighing unit and a computer control unit, wherein the step-press-loading analogue unit directly and indirectly drives a screw rod which extends into a blanking bin to rotate and perform reciprocating movements along an axial line and drives a pusher dog in the blanking bin to perform the reciprocating movements along an arc section through the combined action of a cylinder and a pneumatic reversal valve so as to ensure that the explosive modeling powder in the blanking bin falls into the timing and weighing unit, and the process more truly imitates an explosive conveying process of an explosive step-press process. The timing and weighing unit transmits a weighing value of the explosive modeling powder which falls in the timing and weighing unit to the computer control unit in real time, and the computer control unit calculates the instantaneous flow speed of the explosive modeling powder of a north side and generates a flow speed-time curve according to sampling data. The device can measure the flowability of the explosive modeling powder so as to provide an objective basis for choosing a proper explosive step-press process for the explosive modeling powder.

The invention discloses an indoor water tank sediment starting speed measurement system and method, and aims to solve the technical problem that data accuracy is affected due to the fact that a sensor disturbs a flow field in an existing measurement method. The core of the technical scheme is that the non-contact measurement characteristic of the PIV technology is applied to the whole process from flow field construction to data acquisition. The device is mainly composed of an imaging unit, a laser lighting unit, a movable sliding frame, a water flow adjusting unit and a buffer plate. Optical measurement is carried out through the imaging unit and the laser illumination unit, a physical sensor does not need to be arranged in a flow field, and interference of a measuring instrument on a water flow structure and a sediment starting process is fundamentally avoided. The movable sliding frame which is integrally designed integrates the functions of sediment laying, particle throwing and measuring, so that a test area can be quickly positioned; and the buffer plate and the water inlet and drainage adjusting unit are combined, so that a gradually-changed flow field from weak to strong can be accurately and stably simulated.

The invention discloses a flow field measurement method based on an event camera, and the method comprises the steps: generating a PIV data set, each time sequence sample sequence comprising a plurality of frames of continuous particle images, a corresponding velocity vector field, and particle event data at all moments; establishing a flow field data acquisition device based on an event camera and a high-speed camera, acquiring real event data and real image data which are synchronous in time so as to adjust parameters of an event simulator, and verifying and updating particle event data in the PIV data set according to the adjusted event simulator so as to obtain a flow field data acquisition result; obtaining the updated PIV data set as a training data set; building an event camera optical flow method model, and training by adopting the training data set; and on the basis of the trained event camera optical flow method model, event sequences in two adjacent time periods are used as inputs to calculate a velocity vector field corresponding to a middle moment. According to the invention, the flow field velocity field at the required moment can be obtained based on the event data within a period of time.

The invention relates to a saline intrusion measurement method, system and equipment based on dynamic ship motion conditions and a medium, and aims to solve the technical problem that the salinity inversion precision is reduced due to spatial-temporal dislocation between particle image velocity measurement flow field data and plane laser-induced fluorescence concentration field data caused by ship six-degree-of-freedom motion. According to the method, future poses are predicted by collecting ship motion parameters and environment disturbance parameters, and space-time compensation parameters are generated in combination with a static calibration matrix; performing three-dimensional coordinate transformation and time synchronization on synchronously acquired original flow field and concentration field data by applying compensation parameters, and eliminating space-time deviation caused by ship movement; a three-dimensional salinity distribution field is calculated based on registration data fusion flow field diffusion characteristics and concentration field distribution; and meanwhile, the pose of the measuring equipment is dynamically adjusted through the closed-loop controller so as to optimize the data acquisition quality. According to the method, ship motion interference is effectively inhibited, and accurate characterization of saline invasion frontal surface spatial characteristics is guaranteed.

The invention provides a manufacturing method of an MEMS device and the MEMS device, and the manufacturing method comprises the steps: providing a first wafer which is provided with a groove; a protective layer is arranged in the groove; providing a second wafer, and bonding the second wafer and the first wafer to seal the groove to obtain a first cavity; the second wafer is etched to form a comb tooth structure, and the protection layer is used for protecting the comb tooth structure. According to the embodiment of the invention, the protection layer is arranged in the first cavity of the first wafer as a buffer layer, so that when the second wafer is etched to form the comb tooth structure, the plasma backwash in the over-etching stage can be reduced, the comb tooth structure is further protected, the damage to the bottom of the comb tooth caused by the backwash of etching particles is reduced and solved, and the service life of the comb tooth structure is prolonged. Therefore, the mechanical strength and the anti-failure capability of the device are enhanced.

The invention relates to the technical field of multi-peak spectrum demodulation, and particularly provides a fiber bragg grating multi-peak spectrum demodulation method and system. The method comprises the following steps: extracting local spectral features based on an experimental reference spectrum to form initial atoms, and performing translation offset and normalization processing to obtain an over-complete spectral atom dictionary; performing global offset preliminary estimation based on the dictionary, and obtaining preliminary estimation values of peak sites of the measurement spectrum and the reference spectrum through cross-correlation calculation; executing constraint orthogonal matching pursuit sparse recovery based on the estimated value, and recovering atomic displacement from the measurement spectrum by using block sparsity, translation consistency and non-negative constraint; and performing wind speed inversion and calibration based on the atomic displacement, and converting the wind speed into a wind speed estimated value through a nonlinear calibration model to obtain a final result. According to the method, a dictionary based on experimental data is constructed, dependence on large-scale labeled data is reduced, a physical mechanism and sparsity prior are fused, and the problems that a traditional method is insufficient in precision and weak in generalization ability in a complex environment are solved.

A method for measuring gas temperature and flow velocity through sound waves comprises a sound wave transmitting end, a sound wave receiving end, a signal processing end, a central calculation end and a visualization module, the sound wave transmitting end is used for transmitting sound wave signals and capturing echo signals, and the sound wave receiving end is used for receiving the sound wave signals and transmitting the echo signals; the signal processing end is used for preprocessing sound wave signals and calculating propagation time of sound waves, the central calculation end is used for calculating gas temperature and gas flow velocity, and the visual module is used for displaying a real-time change curve of the gas temperature and the gas flow velocity. The invention provides an improved acoustic multi-path flow field real-time separation algorithm for signal processing, provides an improved multi-path flow field coupling acoustic temperature measurement algorithm for gas temperature calculation, provides an improved multi-path temperature flow coupling dynamic speed measurement algorithm for gas flow velocity calculation, and provides a better scheme for a method for measuring the gas temperature and flow velocity through sound waves.

The invention provides a data error compensation method for a biological net port flowmeter, and belongs to the technical field of ocean detection. A multi-dimensional sensor is arranged at a biological net port to collect fluid parameters, a deep learning model is used for recognizing multi-phase flow characteristics, and a corresponding compensation strategy is selected; based on a correlation analysis algorithm, compensation processing frequency is dynamically adjusted to achieve self-adaptive balance of precision and efficiency, the flow state change degree is monitored through the Euclidean distance, compensation parameters are hierarchically adjusted to ensure system stability, a parallel processing architecture is adopted to execute coarse compensation and fine compensation algorithms at the same time, and results are fused according to weights. Finally, dynamic and accurate compensation of the measurement error of the biological net port flowmeter in the complex multiphase flow environment is achieved, and the technical problem that in the prior art, the biological net port flowmeter cannot achieve dynamic and accurate error compensation in the complex multiphase flow environment is solved.

The invention discloses an intelligent dust removal type electric energy metering box, and relates to the technical field of electric energy metering boxes, the intelligent dust removal type electric energy metering box comprises a metering box body, the side surface of the metering box body is provided with two protective doors, the metering box body is internally provided with a first chamber and a second chamber, and the first chamber is internally provided with an electric energy meter and a miniature circuit breaker; a plastic shell type circuit breaker is installed in the second cavity, a cooling fan is fixed to the side face of the metering box body, and a controller is fixed to the side, away from the cooling fan, of the metering box body. The air inlet amount of the air inlet pipe is intelligently monitored in real time through the air speed sensor, when the air inlet amount cannot meet the heat dissipation requirement, the driving motor is started, the cleaning brush moves in a reciprocating mode, dust attached to the dustproof net is automatically and intelligently cleaned, the dust on the dustproof net is reduced, the permeability of the dustproof net is guaranteed, and the service life of the dustproof net is prolonged. And the influence on the heat dissipation of the whole metering box caused by the blockage of the dustproof net can be effectively avoided.

The invention provides an LSTM underwater robot modeling method based on TPE hyper-parameter optimization, and relates to the technical field of underwater robot modeling, and the method comprises the steps: carrying out the time sequence feature extraction through a memory unit comprising a forgetting gate, an input gate and an output gate, and predicting the state change amount delta Yt'at a t + 1 moment through an output layer; performing iterative optimization on the number of layers and the number of units of the LSTM network and training the model to obtain an optimized LSTM model; evaluating the optimized LSTM model through a multi-step cumulative prediction error, inputting an initial real state into the model to carry out T-step recursive prediction, updating a current state by utilizing a prediction state increment in each step, and finally calculating an average position error and an attitude error in a T-step window on a verification set; and selecting the hyper-parameter combination with the minimum comprehensive error of the verification set as a final model parameter, and completing the dynamic modeling of the underwater robot. According to the method, the problem that the model is inaccurate due to excessive parameterization in a nonlinear dynamic model can be solved.

The invention discloses a water environment pollution traceability system and method. The system comprises a multi-level monitoring module, a flow field reconstruction module, an inversion solving module, an intelligent identification module and a decision judgment module which are connected in sequence. The multi-level monitoring module acquires pollutant concentration and a three-dimensional flow field parameter time sequence in real time, and performs spatial interpolation and time filtering processing on flow field data; the flow field reconstruction module establishes a dynamic source-receptor response matrix according to the pollutant transmission track network; an inversion solving module calculates posterior probability distribution of the parameters; the intelligent identification module identifies the pollution source type through a pre-training classification model; and the decision judgment module comprehensively judges the effective pollution source according to the posterior probability confidence coefficient and the spatio-temporal evolution characteristics. According to the method, flow field reconstruction and probability inference technologies are fused, high-precision identification and parameter estimation of the dynamic pollution source of the water body are achieved, and the problems that in the prior art, mobile pollution sources cannot be effectively treated, and intermittent emission cannot be achieved are solved.

The invention provides a river flow velocity intelligent monitoring method and system based on multi-scale optical tracking velocity measurement. A plurality of detectors with different characteristics are organically combined, and dynamic grid density adjustment based on flow velocity gradient is realized through adaptive grid adjustment; establishing a multi-dimensional track quality evaluation system through intelligent track evaluation; the real-time performance optimization realizes the performance optimization of multi-thread parallel processing, integrates an intelligent grid optical flow detection and dynamic density adjustment mechanism, and optimizes the detection precision and performance in real time according to the flow velocity gradient and the flow field complexity; a multi-track quality evaluation system is utilized, tracks are screened and fused from three dimensions of motion consistency, physical constraint and time stability, and the accuracy and reliability of data are remarkably improved. The method overcomes the problems that a traditional speed measurement method is complex in operation, limited in environment, insufficient in precision and the like, supports real-time processing, can be widely applied to the fields of water conservancy projects, environment monitoring, flood prevention early warning, scientific research and education and the like, and has remarkable advancement and practical value.

The invention relates to the technical field of injection pump calibration, in particular to an injection pump automatic calibration method and system based on flow velocity stability, and the method comprises the following steps: S1, collecting flow velocity data in the operation process of an injection pump, and recognizing a boundary section of stable-to-unstable conversion based on a dynamic window; constructing a boundary drift indication map reflecting response delay, amplitude fluctuation and a rate inflection point; s2, identifying a consistency offset error mode from the atlas in combination with a multi-cycle drift behavior, marking a start window, a transfer window and a peak window, and generating a historical drift memory sequence; and S3, constructing a cross-cycle inheritance type calibration parameter template based on the memory sequence, and adaptively adjusting key parameters in input control logic to realize pre-calibration response before the injection pump is unstable. According to the method, by constructing the boundary drift map, the inheritance type calibration template and the dynamic parameter fusion mechanism, accurate pre-adjustment calibration and self-adaptive compensation optimization of the injection pump before the injection pump is in the unstable state are achieved.

The invention provides a large-mirror-surface MEMS two-dimensional scanning micromirror which comprises a fast scanning shaft, a slow scanning shaft, a balance frame with multiple turns of coils, a micromirror surface and reinforcing ribs on the back face of the micromirror, the fast scanning shaft extends in the first direction, one end of the fast scanning shaft is connected with the micromirror surface, the slow scanning shaft extends in the second direction, and the other end of the fast scanning shaft is connected with the micromirror surface. The other end is connected with a balance frame with a plurality of turns of coils; the slow scanning shaft extends in a second direction perpendicular to the first direction, one end of the slow scanning shaft is connected with the balance frame with the multi-turn coil, and the other end of the slow scanning shaft is used for being connected with an external substrate; the balance frame with a plurality of turns of coils is of a hollow structure and is arranged around the mirror surface of the micro-mirror; the reinforcing ribs on the back face of the micro-mirror are of an oval hollow structure and are fixedly arranged on the lower surface of the mirror face of the micro-mirror, and the reinforcing ribs are connected in the first direction and the second direction to form a supporting structure. According to the structure, the rigidity of the mirror surface is greatly improved, and the capability of resisting external force interference is remarkably enhanced.

The invention discloses a three-dimensional magnetic field bionic seal beard sensor based on a Hall effect. The sensor comprises a mounting frame, a Hall chip, a universal joint component, bionic beards and magnets, wherein the Hall chip and the universal joint component are arranged on the mounting frame; the bionic beards are arranged on the universal joint component; the universal joint component is used for enabling the bionic beard to swing in a first direction and a second direction in a reference plane perpendicular to the center line of the bionic beard after the bionic beard is subjected to the acting force of fluid, the first direction is perpendicular to the second direction, and the universal joint component enables the bionic beard to reset after the bionic beard is not subjected to the acting force of the fluid; the magnetic flux density of the magnets changes along with the movement of the bionic beards; the Hall chip is used for sensing magnetic field information. While the characteristics of strong environmental adaptability and high sensitivity of a conventional bionic beard sensor are reserved, the limitation of one-way sensing of the sensor is broken through, the synchronous detection capability of the flow velocity, the flow direction and the vortex street frequency is improved, and the application range of the sensor in a complex underwater scene is widened.

The invention discloses a follow-up PIV boundary layer flow field test system and test method based on electrolytic hydrogen bubbles. The follow-up PIV boundary layer flow field test system comprises an integrated optical measurement module and a tracer particle generation module, the optical measurement module is arranged in the UUV and comprises a laser transmitter assembly, a sapphire prism and two imaging cameras which are symmetrically arranged, and laser sheet light forms a sheet light area on the outer surface of the UUV after being refracted by the sapphire prism; the tracer particle generation module comprises a cathode, an anode and a power supply unit, the cathode is a platinum wire array composed of a plurality of platinum wires arranged in the axial direction of the UUV, and the platinum wires are located at different heights away from the wall face of the UUV; the power supply unit selectively electrifies the platinum wire, independently adjusts the voltage, controls the number and frequency of generated hydrogen bubbles, and achieves the synchronous measurement of flow field information at different thickness positions of a boundary layer. According to the invention, boundary layer flow field in-situ follow-up measurement and synchronous fine measurement of different thickness positions under the condition of not changing the UUV shape are realized, and the device has the advantages of high integration level, small flow field disturbance, high measurement efficiency and the like.

The invention relates to the technical field of ultrasonic flow measurement, and discloses a relative flight time estimation method based on an ultrasonic flowmeter, and the method comprises the steps: carrying out the time domain alignment of uplink and downlink echo signals through prior absolute flight time, and preventing phase cycle skipping; carrying out FFT (Fast Fourier Transform) and frequency domain conjugate multiplication on the signal, and extracting amplitude and phase information; and a cost function is constructed by using frequency spectrum amplitude weighting, residual delay is estimated through least square fitting, and finally high-precision relative flight time is obtained. According to the method, correlation operation is realized in the frequency domain, the calculation complexity is remarkably reduced, the estimation precision and the anti-noise capability are improved, and the method is suitable for an embedded low-power-consumption system.

The invention relates to the technical field of data interpolation, in particular to a wind speed time series data interpolation method and system based on a deep convolutional generative adversarial network, a medium and equipment, and the interpolation method comprises the steps: constructing a data matrix and a mask matrix; performing data preprocessing on the data matrix and the mask matrix to generate a dual-channel two-dimensional feature map containing a data feature map and a mask feature map; constructing a generative adversarial network; adversarial training is carried out on the generative adversarial network to obtain a data interpolation model with data interpolation capability; inputting the two-channel two-dimensional feature map into a data interpolation model to obtain a complete reconstruction data matrix containing an interpolation value; and fusing a part corresponding to a missing value in the complete reconstruction data matrix with an observation value part in the data matrix according to the mask matrix to obtain a wind speed time sequence data matrix which is completely interpolated. According to the technical scheme, training of a complete data set is not needed, the interpolation precision and robustness are effectively improved, and the stability of model training is enhanced.

The invention discloses a sea surface wind speed inversion method and device based on marine environment noise, and a storage medium. The method comprises the following steps: S1, obtaining marine noise data; s2, acquiring wind speed data according to time and latitude and longitude information in the ocean noise data; s3, audio data in the ocean noise data are processed, and center frequency point noise spectrum level data are obtained; s4, summarizing the noise spectrum level data of the center frequency point and the corresponding wind speed data into a neural network data set through time and latitude and longitude information; step S5, constructing an initial Elman network; s6, performing iterative optimization on the network weight and bias of the Elman network by adopting a cuckoo search algorithm to generate optimized network parameters; step S7, initializing an Elman network by using the optimized network parameters, and generating a CS-Elman model; training a CS-Elman model by using the neural network data set; and step S8, carrying out quantitative evaluation on the CS-Elman model. The method can achieve the high-precision prediction of the sea surface wind speed.

The invention discloses a vector flow velocity measuring device and method based on a bidirectional scanning spectral domain optical coherence tomography technology. Comprising a super light-emitting diode light source, an optical fiber coupler, a polarization controller, an interferometer comprising a sample arm and a reference arm, and a collimating lens, the collimating lens, the grating, the focusing lens group and the linear array camera are sequentially connected through a light path; the linear array camera, the computer and the two-dimensional galvanometer are sequentially connected through a line; according to the method, the fixed bias vector velocity is introduced by utilizing the bidirectional scanning technology, the dynamic light scattering optical coherence tomography method and the Doppler optical coherence tomography method are combined, decoupling of each parameter of the vector flow velocity is efficiently and accurately realized, and a quantitative index is provided for vector flow velocity analysis. The vector flow velocity measuring device based on the bidirectional scanning spectral domain optical coherence tomography technology is simple in system setting and low in cost, the time resolution is improved by about 2.5 times, and the measuring time is shorter.

The invention provides a broadband beam forming acoustic Doppler velocity measurement system and method based on time delay control, which can transmit and receive broadband signals and solve the problem that the measurement precision of the existing acoustic Doppler velocity measurement system is influenced by bandwidth. The velocity measurement system comprises a transducer module, a beam forming module and a conversion module, the transducer module comprises a planar transducer array and an impedance matching module connected with the planar transducer array; the transducer module is in signal connection with the beam forming module through the conversion module, and the beam forming module is used for performing time delay compensation and weighting processing on a received signal; and the conversion module is used for converting the echo signal acquired by the transducer module into a digital signal and inputting the digital signal into the beam forming module, or converting a to-be-transmitted signal received from the beam forming module into an analog signal and transmitting the analog signal through the transducer module.

The application discloses an indoor water tank sediment starting speed measurement system and method, and aims at solving the technical problem of sensor disturbance to a flow field and influence on data accuracy in the prior art measurement method.The technical scheme core is that the non-contact measurement characteristics of the PIV technology are applied to the whole process from flow field construction to data acquisition.The device is mainly composed of an imaging unit, a laser illumination unit, a movable sliding frame, a water flow adjusting unit and a buffer plate.Optical measurement is performed through the imaging unit and the laser illumination unit, and physical sensors do not need to be arranged in the flow field, so that the interference of the measuring instrument on the water flow structure and the sediment starting process is fundamentally avoided.The integrated movable sliding frame integrates the sediment laying, particle throwing and measurement functions, and is convenient for quickly positioning a test area;in combination with the buffer plate and the water inlet and drainage adjusting unit, a gradually changing flow field from weak to strong can be accurately and stably simulated.

An accelerometer includes a housing, a proof mass assembly encased in the housing, and one or more heating elements configured to heat the proof mass assembly in response to an electrical current. The one or more heating elements include a positive temperature coefficient of resistance (PTC) material. The PTC material exhibits a relatively high increase in resistance above a threshold temperature. For example, a ratio of the resistance of the PTC material above the threshold temperature to the resistance of the PTC material at room temperature (PTC ratio) is greater than five.

The invention relates to a centrifugal compressor PIV speed measurement and analysis method, device and equipment and a medium. The method comprises the following steps: acquiring flow field optical measurement data of the centrifugal compressor through a particle image velocity measurement technology; inputting optical measurement data of the flow field into a deep learning model, and extracting dynamic characteristics of the flow field through a characteristic extraction layer of the deep learning model; reconstructing the dynamic characteristics of the flow field into a three-dimensional flow field velocity vector field by using a velocity vector reconstruction layer in the deep learning model; and generating a velocity measurement analysis result based on the three-dimensional flow field velocity vector field. By adopting the method, the multi-scale dynamic characteristics in the complex three-dimensional rotating flow field of the centrifugal compressor can be effectively captured, high-precision three-dimensional velocity vector reconstruction is realized, and the spatial resolution and robustness of flow field measurement are improved.

The invention provides a spinach cleaning quality detection method based on image recognition, and relates to the technical field of image or video recognition. A closed-loop control framework integrating active detection, cross-modal sensing, physical modeling decoupling and intelligent decision optimization is constructed; cleaning efficiency and quality bottlenecks caused by single information dimension and passive control mode in the prior art are fundamentally solved; the self-adaptive cleaning device has the final beneficial effects that the energy consumption and the water consumption of a unit product are greatly reduced by precisely putting water flow energy according to requirements while the cleaning cleanliness stability under complex working conditions is remarkably improved, and self-adaption and self-optimization of the whole cleaning process are realized.

The invention provides a high-precision three-dimensional ultrasonic wind speed measurement method and device, the method is applied to an ultrasonic transducer array, a plurality of transducers in the transducer array are arranged according to a non-orthogonal structure to form a plurality of acoustic measurement paths, and the specific steps are as follows: acquiring ultrasonic signals collected on the plurality of acoustic measurement paths; for each acoustic measurement path, determining a downwind and upwind propagation time difference of ultrasonic waves on the path based on cross-correlation operation and sine wave fitting; and calculating a three-dimensional wind speed vector based on the geometrical relationship of each acoustic measurement path and the corresponding propagation time difference, thereby achieving the technical effects of remarkably improving the anti-interference capability, greatly improving the measurement precision, remarkably improving the calculation speed, optimizing the spatial symmetry, enhancing the environmental adaptability and improving the measurement robustness.

The invention provides a double-ring microwave sensor combination which is composed of two microwave annular sensors which are located on the upstream and the downstream of a measuring pipeline respectively and are the same in structure, each microwave annular sensor comprises a coaxial feeder terminal, an annular pole plate and a shielding layer, and the annular pole plate is tightly attached to the outer wall of the measuring pipeline. The coaxial feeder terminal is electrically connected with the annular polar plate; the shielding layer is longer than the annular polar plate and is grounded; the coaxial feeder terminals of the two microwave annular sensors are both used as the access ends of microwave excitation signals and the receiving ends of microwave response signals. The invention also provides a structure optimization method of the double-ring microwave sensor combination and a method for measuring the related flow velocity of the inclined oil-water two-phase flow by using the double-ring microwave sensor combination. According to the invention, related flow velocity measurement of inclined oil-water two-phase flow under a complex flow pattern can be realized.

The invention relates to the technical field of ship offset early warning, and provides a ship offset early warning method for a deep-sea mining in-situ pilot production system, which can solve the problem that the existing mother ship offset monitoring mode is too simple, improve the accuracy of judging the position of a ship body and perform effective early warning. Comprising the following steps: S100, establishing an information transmission network and carrying out data acquisition; s200, carrying out coordinate conversion on the collected real-time longitude and latitude information of the ship and the vehicle, and calculating a relative distance between the ship and the vehicle; s300, calculating a ship offset area of the mining system, calculating an allowable offset of a mining ship relative to a mining vehicle, dividing operation states according to the offset, and determining a reasonable ship offset area map; and S400, the ship deviation safety early warning area is built in a system early warning program, monitoring data are read at regular time, monitoring information such as environment monitoring information, ship-vehicle distance and the like and umbilical cable length monitoring information are read in real time, and the ship deviation state is judged in real time according to the ship deviation safety area.

The invention provides a monitoring method and system for the conveying state of grain capable of being washed based on multi-mode sensing. Multi-axis laser speed measurement probes with dust covers are arranged on the two sides of the conveying belt, so that interference of dust to a light path is eliminated. Laser Doppler frequency shift signals of surface particles and echo intensity data of deep particles are synchronously collected, and a hierarchical control volume model is established; and utilizing the echo intensity to compensate the scattering signal, and generating a flow velocity distribution profile map through self-correlation processing. A particle motion vector field is further constructed by adopting an optical flow method, and a collision energy value is calculated through vector field energy distribution. When the energy value exceeds a preset threshold value, a positioning early warning signal is generated, and real-time monitoring and accurate positioning of particle collision abnormity are achieved. According to the technical scheme, full-dimension monitoring of the particle motion state in the grain conveying process can be achieved in the high-dust environment, collision abnormity is effectively recognized, the fault area is accurately positioned, and the grain conveying quality is guaranteed.

The invention discloses a flexible gas flow velocity sensor based on ionic conductive gel, and a preparation method and application thereof. The flexible gas flow velocity sensor specifically comprises a semiconductor active layer and a pore-forming agent which are blended, performing spin coating and etching on the interdigital electrode substrate to prepare a semiconductor film with a porous structure; blending an ionic gel precursor solution; and spin-coating or drop-casting the precursor solution, and preparing the gel film with the ionic conduction characteristic through photo-crosslinking. The sensor provided by the invention can realize sensing response to different inert gases and different gas flow rates under low power consumption, and realizes detection application to human respiration through the Bluetooth test module. Air flow is introduced to regulate and control ion mobility, and the sensing performance of the device is improved by means of the porous organic semiconductor film. The flexible sensor can be attached to other objects or the surface of the inner wall of an airflow pipeline, the device is simple in structure and easy to miniaturize, and a millimeter-level micro sensor can be achieved. And the method is suitable for batch preparation of low-power-consumption miniaturized devices.