674results about "Devices using optical means" patented technology

The method and apparatus for a remote weapon station or incorporated into manually-aimed weapons. The methodology requires use of a muzzle velocity sensor that refines the aiming of the second and subsequent fires or volleys fired from weapon systems. When firing the first volley a weapon uses an estimated velocity and, at firing, the muzzle velocity of a projectile is measured. When firing the second volley a weapon's fire control calculates an aiming point using the measured velocity of the first volley.

The invention discloses a long-distance motion simulation system high-precision positioning and speed fixing method and device, the device comprises a slide rail, a slide table and a long-distance high-precision positioning and speed fixing unit, and the long-distance high-precision positioning and speed fixing unit comprises a photoelectric position marker, a high-speed signal acquisition and processing unit and a photoelectric encoder; when the sliding table passes through the photoelectric potential marker, a reflecting light path of the photoelectric potential marker is formed by using the light reflecting mirror, so that the photoelectric potential marker generates a pulse signal; the high-speed signal acquisition and processing unit acquires pulse signals in real time, marks time stamps on photoelectric potential marker signals acquired in real time, and determines absolute position data of the sliding table at the moment by taking the pulse signals transmitted by the photoelectric potential marker as a reference; the photoelectric encoder transmits a calculated distance value to the high-speed signal acquisition and processing unit; and obtaining real-time position information and instantaneous speed information of each sensing interval and the average speed of each sensing interval according to the absolute position data and the calculated distance value.

The invention relates to the technical field of video monitoring, and provides an ectopic dual-camera intelligent vehicle speed measurement method and system based on deep optimization. The method comprises the following steps: acquiring images acquired by two cameras which are arranged at different positions on the same side of a road; extracting features of each vehicle based on each vehicle detected by the first image and the second image, and matching the features of the vehicles in the first image and the second image; when a target vehicle reaches a speed measurement point area, determining a three-dimensional geometric projection constraint residual error according to depth estimation values of the two cameras and three-dimensional geometric projection constraints of the target vehicle and the two cameras, constructing an error-minimized target function in combination with a depth consistency error, and optimizing the depth estimation values of the two cameras to obtain a target vehicle speed measurement result; obtaining depth estimation optimization values of the first camera and the second camera; and converting the two-dimensional track pixel coordinates of the target vehicle into three-dimensional world coordinates based on the depth estimation optimization values of the first camera and the second camera, and calculating the final speed of the target vehicle.

The invention discloses a device and a method for testing initial velocity and distribution of fragments of a warhead, and the device is characterized in that a missile rack is arranged in a light filtering protection device, and is used for fixedly installing the warhead; the light filtering protection device is arranged between the high-speed camera laying room and the anti-reflection background, located on one side of the lens axis of the high-speed camera and used for enabling fragments generated by warhead explosion to penetrate through the space between the high-speed camera laying room and the anti-reflection background to shield explosion fire light and detonation products. The phenomenon that the lens of the high-speed camera is covered in the light curtain area of the explosion flame to cause overexposure is avoided, so that fragment flying images can be shot at a short distance. According to the testing device, explosion fire light is weakened through the light filtering protection device, the concentration of detonation products flying along with fragments is reduced, and therefore the fragment scattering process can be shot at a short distance, axial distribution of the initial speed of the fragments is directly calculated, and the fragment scattering angle is obtained.

The present application provides an image-based speed determination method, apparatus, device, and storage medium, which relate to the technical field of image recognition. The method includes: obtaining a first image and a second image during the movement of a target object in an environmental space, where the acquisition time of the first image is later than that of the second image; fusing a first feature extracted from the first image and a second feature extracted from the second image to obtain a fused feature map, where the fused feature map includes first pixel position information and second pixel position information of the target object; performing a first convolution operation on the fused feature map to obtain a displacement information feature map, where the displacement information feature map is used to represent the correspondence between pixel positions and displacements; extracting a target displacement corresponding to a target pixel position from the displacement information feature map; and determining the movement speed of the target object at the acquisition time of the first image according to the target displacement.

The invention relates to the technical field of industrial automation control, and particularly discloses a rotating speed detection and closed-loop control system based on photoelectric sensing and a PLC, and the system comprises at least one rotating body which is a rotating speed controlled object, and the surface of the rotating body is provided with a configurable number of reflection mark areas or speed measurement holes; the proximity photoelectric switches are in one-to-one correspondence with the rotating bodies, are aligned with the reflection mark areas or the speed measurement holes, and are used for detecting rotation information of the rotating bodies and generating original pulse signals; a high-speed counter input port of the PLC is electrically connected with signal output ends of the proximity photoelectric switches, and a pulse preprocessing module, a rotating speed calculation module, a deviation processing module, a control algorithm module and a signal adaptation module are arranged in the PLC. The PLC and the proximity photoelectric switch which are widely applied in the industrial field and high in popularity rate are adopted as core technical components, and expensive special servo controllers, encoders and other devices are not needed, so that the hardware purchase cost of the system is greatly reduced.

The invention discloses a laser interference normal / angular vibration synchronous measurement device and a decoupling method, and belongs to the field of laser interference measurement. The linear / angular vibration synchronous measurement device comprises an optical system, a precise adjustment support, a controller, a data acquisition system, linear / angular vibration comprehensive calibration software and an integrated connection cable. And the optical system is used for emitting three beams of measuring light, focusing the three beams of measuring light on the surface of the vibrator, receiving light energy returned from the surface of the vibrator and converting the light energy into photoelectric signals. And the precise adjusting bracket is used for precisely adjusting the measurement attitude of the optical system. And the linear / angular vibration upper computer is used for decoupling the acquired signals, respectively acquiring linear vibration and angular vibration parameters, realizing real-time tracking display of a time-frequency domain curve, and automatically fitting and quickly displaying a space operation vector trajectory of a moving target. According to the invention, a three-beam symmetric differential Mach-Zehnder heterodyne interference method is adopted, linear vibration and angular vibration parameters of a measured target can be synchronously obtained, and comprehensive calibration of a calibrated sensor is realized.

The invention particularly relates to a rotating speed measuring system and method based on a metasurface light modulator, and aims at solving the problems that an existing rotating Doppler rotating speed measuring system is numerous in optical elements, complex in structure and low in optical efficiency. Comprising a single-mode fiber laser, and a metasurface light modulator, a half-wave plate and a polarization splitting prism which are arranged on an emergent light path of the single-mode fiber laser, a quarter-wave plate and a rotating target object to be measured are sequentially arranged on a transmission light path of the polarization splitting prism, and a photoelectric detector and a measuring terminal connected with the output end of the photoelectric detector are arranged on a reflection light path of the polarization splitting prism. The metasurface light modulator is used for directly generating a vortex beam carrying topological charge conjugate superposition photon orbital angular momentum, and the rotating speed of a rotating target is measured by using the rotating Doppler effect. Compared with an existing system, an extra 4F optical filtering system or an annular interference light path is not needed, and the system has the advantages of being simple in light path, compact in structure and high in optical efficiency.

The invention discloses a ceiling fan rotating speed test method and system, and relates to the technical field of ceiling fan rotating speed measurement, and the test method comprises the specific steps: S100, system preparation and parameter setting: starting a ceiling fan rotating speed test system, carrying out the comprehensive power-on self-test of the whole system, and inputting the number of fan blades of a ceiling fan through a product setting interface by a user; non-contact measurement is carried out through the laser pulse signals, the problem that application of a traditional rotating speed measurement method to a ceiling fan with an illuminating lamp is limited is effectively solved, remote and non-contact measurement of the rotating speed of the ceiling fan is achieved through installation of the laser transmitter and the receiver, and the measurement accuracy is improved. Errors and damage risks caused by physical contact are avoided, the application range of the measuring method is widened, in addition, due to the high sensitivity and high precision characteristics of the laser sensor, the rotating speed of the ceiling fan rotating at a high speed can be accurately measured, and the measuring accuracy and reliability are improved.

The invention provides a satellite disc rotating speed detection method and system of MOCVD equipment, computer equipment and a storage medium, and relates to the technical field of semiconductor detection. Weak rotating speed characteristic signals are accurately extracted from noise through time domain and frequency domain fusion and a state estimation algorithm; the detection capability and the peak position stability of the rotating speed characteristic under the strong noise background are obviously improved; by taking a fusion result as an initial value and introducing state estimation of system dynamics, millisecond-level real-time updating and high-precision rotating speed analysis can be realized; the preset system dynamics model can dynamically fuse the current observation value and the historical state, the random error caused by airflow disturbance, mechanical vibration and electromagnetic interference is effectively inhibited, the output result is smooth and stable, and the reliability is greatly enhanced.

The invention discloses a river surface flow velocity measurement method, system and product based on a video image, and the method comprises the steps: firstly selecting N unmanned ship control points, and calculating a perspective matrix through the geographic coordinate data of an unmanned ship and the pixel coordinates of the unmanned ship in the video image; wherein N is a preset value; converting the geographic coordinates of the point with the speed to be measured into pixel coordinates through the perspective matrix; using an RAFT optical flow model to generate a pixel-level speed of each pixel of the video image, namely an optical flow field; acquiring the pixel-level speed of the to-be-measured speed point from the optical flow field by using the pixel coordinates of the to-be-measured speed point; and finally, obtaining the real-level speed of the river by using a multi-layer perceptron. According to the method, the real speed measured by the ADCP carried by the unmanned ship is utilized to supervise and train the multi-layer perceptron model, the combined loss function is utilized to restrain the model, and the real-level speed can be predicted by combining river position features and numerical value features. According to the invention, a non-contact video acquisition mode is adopted, the equipment cost is reduced, and the measurement efficiency is improved.

The invention relates to the field of vehicle speed measurement, in particular to a vehicle speed measurement system based on radar and machine vision, which comprises a radar module, a machine vision module, a data fusion module, a speed measurement result output and display module and a system calibration and self-diagnosis module. According to the invention, high-precision speed measurement can be realized under various complex weather conditions, road conditions and vehicle driving states through advantage complementation of radar and machine vision in combination with an advanced hybrid filtering algorithm; the system has strong adaptability to different environment conditions and road scenes; the optimal design of data acquisition, processing, fusion and result output ensures that the system has high real-time performance and can quickly and accurately reflect the current running speed of the vehicle; the speed measurement result can be locally checked in real time, and a remote transmission function is also provided, so that a remote monitoring center can carry out macroscopic monitoring on regional traffic flow, vehicle speed distribution and the like conveniently.

The optical sorting machine comprises: a light source; a color sensor; a determination unit for foreign matter and / or defective products; a color deviation amount calculation unit, which calculates, for a color image obtained by the color sensor, the amount of color deviation caused by the separation of at least two element groups among the R element group, the G element group and the B element group in the transfer direction of the sorting object; a speed calculation unit, which calculates the transfer speed of the sorting object based on the separation distance of at least two element groups in the transfer direction, the color deviation amount, and the scanning time which is the time required for one scan of the color sensor; and a sorting device, which performs a track changing action at a time point determined based on the transfer speed calculated by the speed calculation unit, and the track changing action is used to change the track of a specific sorting object determined based on the determination result of the determination unit.

The invention belongs to the technical field of vehicle overrun detection, and discloses a vehicle determination method and system based on video detection and distributed optical fibers, and the method comprises the steps: obtaining target information recognized by a camera, building a first database, obtaining target information recognized by the distributed optical fibers, and building a second database; pixel coordinates in the first database are converted into relative position coordinates, the similarity between the relative positions in the first database and the relative positions in the second database is judged within the same detection time, and if the similarity exceeds a certain threshold value, it is considered that data of the two vehicle tracks are from the same target vehicle; and fusing the monitoring data in the first database and the second database of the target vehicle to obtain an overrun detection database. According to the method, the target detection function of deep learning and the advantages of distributed optical fibers are combined, the vehicle determination method based on multi-device fusion is realized, and accurate determination of the vehicle is realized.

The invention belongs to the technical field of oil and gas field development, and particularly relates to an experimental determination method for the debris settling velocity of an irregular-shaped bridge plug. The method comprises the following steps: collecting bridge plug scraps flowback on site, classifying and testing the volume and density of the bridge plug scraps according to the material of the bridge plug scraps, measuring the shape parameters of the bridge plug scraps by using an image processing method, combining five bridge plug scrap shape characterization parameters of roundness, aspect ratio, radius ratio, sphericity and equivalent diameter, and taking a correlation coefficient R2 as an evaluation index, the correlation among the shape parameters of the bridge plug chippings is compared, the aspect ratio, the radius ratio and the roundness are determined to serve as main parameter characteristic parameters of follow-up calculation, the settling speed of the bridge plug chippings is measured through a static settling experiment, and a drag coefficient model suitable for the bridge plug chippings in the irregular shape is established on the basis of a spherical drag coefficient model. The model is fitted by using the measured settling velocity data, and theoretical support is provided for the design of the debris flowback flow parameters of the bridge plug of the shale gas horizontal well.

Disclosed are an internal magnetic control device, a flywheel assembly and a fitness equipment, wherein the flywheel assembly comprises a flywheel, an internal magnetic control device and a speed measuring device, wherein the internal magnetic control device comprises a housing unit, a driving unit, two swing arms and two sets of magnetic elements, wherein the driving unit is arranged at the housing unit; a pivoting end of each of the swing arms is rotatably mounted at the housing unit; a driven end of each of the swing arms is rotatably connected to the driving unit; the two sets of the magnetic elements are respectively arranged at each of the swing arms; wherein the flywheel is rotatably arranged around the internal magnetic control device, wherein the speed measuring device comprises a sensing element and an acting member.

The invention relates to a resonant optical gyroscope signal detection method based on an optical switch. The resonant optical gyroscope signal detection method comprises the following steps: step 1, adopting a narrow linewidth laser as a light source; 2, the split light field enters a lithium niobate phase modulator A and a phase modulator B to be modulated by a triangular wave voltage signal, the light field subjected to phase modulation is coupled in opposite directions to enter a waveguide resonant cavity, and a photoelectric detector A and a photoelectric detector B are used at the output end of the resonant cavity to obtain a voltage signal; and voltage signals obtained by the photoelectric detector A and the photoelectric detector B are accessed to a lock-in amplifier. 3, arranging an optical switch A between the waveguide resonant cavity and the photoelectric detector A; and an optical switch b is arranged between the waveguide resonant cavity and the photoelectric detector B, so that the detection of a gyro signal is completed. The interference of polarization noise can be reduced, and the resonant frequency locking precision and the angular velocity detection sensitivity of the gyroscope are improved.

The invention relates to the technical field of cigarette technology and detection, in particular to a method and system for measuring the three-dimensional flow velocity of flowing tobacco shreds in a tobacco shred drying cavity, and the method comprises the steps: obtaining a multi-angle image of the flowing tobacco shreds; preprocessing the multi-angle image, and taking the processed image as an original image; detecting the original image by adopting a feature point detection algorithm, detecting all tobacco shreds and a plurality of corresponding feature points in the original image, and obtaining a tobacco shred-feature point data set; and calculating the three-dimensional flow velocity of the plurality of feature points corresponding to each tobacco shred in the tobacco shred-feature point data set, and obtaining the three-dimensional flow velocity of each tobacco shred according to the three-dimensional flow velocity of the plurality of feature points corresponding to each tobacco shred. According to the technical method, the flow velocity of the flowing tobacco shreds in the tobacco shred drying cavity is accurately measured by adopting the optical flow algorithm and the three-dimensional velocity vector method. Compared with the prior art, the measurement precision and reliability are remarkably improved, and the device has the advantages of non-contact, real-time monitoring, data storage and the like.

The invention provides a speed measurement method based on dynamic zooming of an unmanned aerial vehicle and an inspection system. The method comprises the following steps: acquiring a video stream acquired by the unmanned aerial vehicle in real time through a camera for dynamically adjusting focal length parameters; inputting the video stream into the detection model frame by frame; outputting a target detection frame set of the corresponding current frame; performing cross-frame association on the detection frames of the adjacent frames through a ByteTrack algorithm, and distributing a unique instance identifier for the same target; acquiring real-time parameters of the unmanned aerial vehicle, establishing a real pavement coordinate system and a pixel imaging coordinate system, and performing coordinate system projection mapping; and calculating the real speed of the target. The method has the beneficial effects that the coordinate mapping error is greatly reduced through dynamic parameter fusion and unmanned aerial vehicle displacement compensation, and particularly, the improvement is obvious in a pitch angle or zoom scene; through introduction of central point position transformation, image center offset caused by digital zooming is dynamically calibrated, and pixel-physical coordinate mapping distortion caused by pure image cutting or interpolation amplification is effectively eliminated.

The invention provides a laser Doppler velocimeter indicating value error calibration device to solve the problems that in the prior art, the structure is complex, the reference speed upper limit is low, and danger exists. The indicating value error calibration device for the laser Doppler velocimeter comprises a single-frequency laser, a first wavelength meter, a second wavelength meter, a 1 * 2 optical fiber beam splitter, a 2 * 1 optical fiber coupler and an optical fiber isolator. The indicating value error calibration device for the laser Doppler velocimeter is simple in structure, low in cost, high in safety coefficient and high in reference speed. In addition, the invention also provides a laser Doppler velocimeter indication error calibration method.

The utility model discloses wire drawing graphite rolling line speed detection equipment, and relates to the technical field of automatic detection. The device comprises a rack; and the mounting plate is detachably mounted on the rack. According to the utility model, the position of the detection wheel can be conveniently adjusted according to graphite rollers with different diameters through the adjusting assembly, so that the detection wheel is in contact rotation with a rotating wiredrawing graphite material, the high-precision linear velocity sensor captures the rotation speed and transmits a signal to the controller, and a measurement result is displayed on an operation interface in real time; an operation interface provides visual operation and data display for a user, so that the whole measurement process is simple, efficient and easy to monitor, a worker does not need to hold a wire speed meter by hand to tightly attach the wire drawing graphite roller for measurement and then record the wire speed meter into a computer, the labor intensity of the worker is greatly reduced, and the working efficiency is improved. And meanwhile, the working efficiency of graphite roller linear speed detection is improved.

The invention discloses an intelligent road disease detection method and system based on a large model, and relates to the technical field of road maintenance engineering.The system collects road state data in real time through path planning and sensor group arrangement and transmits the data to an intelligent road disease detection system for data processing; forming a structure response data set and a vehicle load data set, calculating a periodic vibration accumulation index cap through the structure response data set to perform road state evaluation, executing an impact promotion analysis instruction when an evaluation result is a normal state, calculating an excitation fatigue response index sho through the vehicle load data set, road structure evolution evaluation is carried out in combination with the crack evolution kinetic potential index CEP obtained through calculation, and an optimization instruction is generated according to a road structure evolution evaluation result. According to the invention, full-period dynamic monitoring and intelligent decision making of road diseases are realized, the road fatigue and crack expansion trend can be identified in advance, the maintenance strategy is optimized, and the road use safety and management efficiency are improved.

A segment of roadway including a body and a strain sensor array embedded in the body. The strain sensor array includes vehicle-strain sensors configured to detect strain on the body resulting from vehicles traveling across the top surface. The strain sensor array includes an optical fiber cable comprising the plurality of vehicle-strain sensors, and the optical fiber cable is embedded in a configuration that includes a bend with a bend radius of at least twenty millimeters (20 mm). Each of the vehicle-strain sensors is separated from the bend by a length along the optical fiber cable of at least one centimeter (1 cm), and each of the vehicle-strain sensors is separated from each other of the vehicle-strain sensors by a length along the optical fiber cable of at least one centimeter (1 cm).

The invention discloses a centrifugal machine rotating speed control method and system based on image recognition. The method comprises the following steps: acquiring each frame of preprocessed rotor region image; feature point extraction is carried out on each continuous two frames of images of each frame of preprocessed rotor region image, so that a rotation angle, an angular velocity estimation value and a rotor motion track are obtained; obtaining a fused rotation angle and an angular velocity estimation value according to the preprocessed rotor region image; according to the fused rotation angle and angular velocity estimation value, the rotation angle and angular velocity estimation value after self-adaptive fusion is obtained; calculating a real-time rotating speed estimation value of the centrifugal machine; generating a corrected real-time rotating speed estimated value according to the real-time rotating speed estimated value; and acquiring a control signal according to the corrected real-time rotating speed estimation value. According to the technical scheme, the anti-interference performance, the control precision and the environmental adaptability of the system can be remarkably improved, and the high-precision and high-stability control requirements of the high-speed centrifugal machine are met.

An atom chip for an ultracold-atom sensor, the chip includes an XY-plane normal to a Z-axis, the atom chip comprising: first and second coplanar waveguides suitable for propagating microwaves at respective angular frequencies ωa and ωb, the waveguides being placed symmetrically on either side of the X-axis and being referred to as X-wise guides, first and second coplanar waveguides suitable for propagating microwaves at respective angular frequencies ω′a and ω′b, the waveguides being placed symmetrically on either side of an axis the projection of which in the XY-plane is along an axis Y′ that is different from the X-axis and that is contained in the XY-plane, and being referred to as Y′-wise guides, the X-wise guides being electrically insulated from the Y′-wise guides, an intersection of the guides forming a parallelogram of center O defining an origin of the reference frame XYZ, at least a first conductive wire and a second conductive wire the respective projections of which in the XY-plane are secant at O and make between them an angle larger than or equal to 20°, the conductive wires being suitable for being passed through by DC currents.

The invention discloses a roller rotating speed detection method and system based on an optical flow method. According to the scheme, on the basis of organic fusion of two-path image optical flow analysis and spatial geometry modeling, the detection of the rotating speed of a roller is realized under the condition of not depending on a physical sensor or any physical mark; non-contact detection is carried out on the rotating speed of the coal mining machine roller in the underground coal mine directly based on the operation video image of the coal mining machine roller, and the efficiency of high robustness and friendly visualization can be achieved.

The invention discloses a smart city traffic data processing system based on distributed sensors, relates to the technical field of city traffic data processing, and realizes dynamic switching of sensor sampling behaviors by introducing a linkage mechanism of an event trigger signal E (Tk) and a scheduling state signal S (Tk). Invalid data uploading is obviously reduced, and network bandwidth and storage resources are saved; the response speed of the system to traffic sudden change is improved; the situation of insufficient sampling density at the critical moment is avoided, and the abnormal event capture rate is improved. The system extracts collected vehicle speed vS, traffic flow density pS and lane occupancy zS from a standardized traffic data set, further constructs a length traffic flow abrupt change rate Hgamma and a fluctuation intensity factor H psi, and compares the length traffic flow abrupt change rate Hgamma and the fluctuation intensity factor H psi with set thresholds. The accuracy and the stability of abnormal event identification are improved; fine-grained and multi-level emergency judgment is supported; scheduling logic is driven through sensitive parameters, and the intelligent level of the whole system is improved.

The invention discloses an optical fiber connector assembly for measuring the rotating speed of a photoelectric sensor, and relates to the technical field of optical fiber connectors, the optical fiber connector assembly comprises a locking cap, a dustproof cap, a fixed connector and a protective hose, one side of the locking cap is connected with the protective hose, an optical fiber body is arranged in the protective hose, and inner threads are arranged on the inner walls of the fixed connector and the locking cap. The side, away from the protective hose, of the locking cap is connected with the outer wall of the fixing connector through internal threads in a threaded mode, the side, away from the locking cap, of the fixing connector is connected with the outer wall of the dustproof cap through internal threads in a threaded mode, and the outer walls of the fixing connector and the locking cap are provided with a first sealing ring and a second sealing ring through waterproof gel. The device is composed of a compression-resistant and tensile layer, an anticorrosive layer and a self-repairing coating, has good bending resistance, has the advantage of effectively protecting an optical fiber line from mechanical damage, has good scratch resistance and rapid repairing effects, and is suitable for long-time testing and use.

A fiber optic sensing cable located along a side of a paved road and runs parallel to a driving direction is monitored by distributed fiber optic sensing (DFOS) using Rayleigh backscattering generated along the length of the optical sensor fiber cable under dynamic vehicle loads. The interaction of vehicles with roadway locations exhibiting distressed pavement generates unique patterns of localized signals that are identified / distinguished from signals resulting from vehicles operating on roadway exhibiting a smooth pavement surface. Machine learning methods are employed to estimate an overall road surface quality as well as localizing pavement damage. Power spectral density estimation, principal component analysis, support vector machine (SVM) combined with principal component analysis (PCA), local binary pattern (LBP), and convolutional neural network (CNN) are applied to develop the machine learning models.

A segment of roadway includes a body having a top surface and a strain sensor array comprising one or more optical fiber cables embedded in the body. The strain sensor array includes an integrity sensor and vehicle-strain sensors. The vehicle-strain sensors are configured to detect strain on the body resulting from vehicles traveling across the top surface. Each of the vehicle-strain sensors has at least one of a spatial resolution and a length extending substantially parallel to a direction of travel of equal to or less than fifty centimeters (50 cm), and the integrity sensor has at least one of a spatial resolution and a length of greater than fifty centimeters (50 cm).