131 results about "Point detector" patented technology

The invention discloses an urban tunnel intelligent safety operation and maintenance method and system combined with multiple data, particularly relates to the field of intelligent traffic operation and maintenance, and is used for solving the problems of prediction deviation and congestion management caused by tunnel flow fluctuation. In combination with traffic parameters of a multi-point detector, a wave similarity analysis model is utilized to accurately evaluate a propagation path and a target section of fluctuation; meanwhile, by means of a time sequence superposition correction mechanism, a historical fluctuation rule and real-time data are fused, a traffic flow transmission prediction curve after dynamic correction is generated, and balance between physical constraint and prediction precision is achieved; finally, key indexes are output through dynamic updating of the flow prediction model, efficient linkage of signal coordination and induction management and control modules is guided, congestion accumulation and traffic risks caused by fluctuation propagation can be reduced to the maximum extent, the tunnel operation and maintenance efficiency is optimized, and the traffic safety guarantee capacity is enhanced.

An electrode manufacturing apparatus according to one aspect of the present disclosure is configured to discharge a liquid to form a resin layer or an inorganic layer on an electrode substrate which is being conveyed in a predetermined direction. The electrode manufacturing apparatus includes a detector, a liquid discharger provided downstream of the detector in the predetermined direction and configured to discharge the liquid to form the resin layer or the inorganic layer, and a controller configured to control a discharge condition of the liquid discharger. Points where a property varies are present on the electrode substrate along a direction intersecting the predetermined direction. The detector outputs pieces of detection information obtained by detecting one of the points in time series, and the controller controls the discharge condition of the liquid discharger based on combined detection information obtained by combining the pieces of detection information.

The invention relates to a super-resolution fluorescence lifetime microscopic imaging method and system based on pixel relocation. The method comprises the following steps: S1, carrying out multi-focus parallel scanning on a sample by using an acousto-optic deflector; s2, synchronously collecting a fluorescence intensity image and fluorescence lifetime data through an area array detector and a point detector; and S3, carrying out super-resolution reconstruction on the fluorescence intensity image based on a pixel relocation algorithm, and mapping fluorescence lifetime data to a reconstructed image to generate a super-resolution fluorescence lifetime microscopic image. According to the invention, an AOD is adopted to replace a scanning galvanometer in a traditional TCSPC-FLIM imaging system as a light beam scanner; addressing scanning of AOD, image acquisition of EMCCD and life data acquisition of PMT and TCSPC cards are closely linked by combining well-designed multiple paths of synchronizing signals, and fluorescence life data are distributed to each dot matrix through a later data processing method, so that organic combination of super-resolution and FLIM can be realized without complicated equipment, and SR-FLIM images of samples are obtained.

The present disclosure aims to detect an occurrence time point of a certain change as a change point when the change including a change in a time change pattern such as a change in a periodic fluctuation occurs, with respect to time-series data including data not satisfying a stationarity restriction or iid restriction indicating a periodic fluctuation. Therefore, the content of the present disclosure is a change point detector including an input unit that inputs time-series data representing a system state at each time point of a system including one or a plurality of devices, the time-series data being constituted by data of a dimension of the number of devices included in the system×the number of items representing a state of the devices, a time window generation conversion unit that generates converted data by converting the time-series data at each time point from data of the dimension of the number of devices×the number of items into data of a dimension of the number of devices×the number of items×a time window length, and a detection unit that detects a change point score of a system state calculated based on the converted data at each time point as a change point when the change point score exceeds a preset threshold.

The invention discloses a DCS system IO module channel testing device, and relates to the technical field of industrial automation equipment detection. The device comprises an IO module point inspection instrument and an upper computer, the IO module point inspection instrument is in communication connection with the upper computer, a plurality of sets of independent test modules capable of running in parallel are arranged in the IO module point inspection instrument, and each test module comprises a controller, an excitation source circuit, a signal acquisition circuit and a matrix switch circuit and corresponds to one slot. And the test module establishes a signal path with the IO module connected to the slot through the matrix switch circuit. Wherein a controller in the test module can automatically identify the type of the IO module to be tested, dynamically configure an excitation source circuit and a signal acquisition circuit which are matched with the IO module to be tested, and realize automatic and high-precision detection of various types of IO modules. According to the device, the point inspection efficiency of the IO module of the DCS system can be greatly improved by integrating a multi-channel signal output function and a signal detection function.

A parking assistance apparatus includes: an image acquirer that acquires a camera image; a feature point detector that extracts feature points from the camera image; a feature point selector that selects a feature point to be registered on a map by evaluating the feature points in learning travel and a parking route and a parking position of the vehicle are registered on the map; and a vehicle controller that parks the vehicle based on the map, in which the feature point selector varies a priority for registration of the feature points or the number of feature points for registration in accordance with a position on the parking route, or selects, at the position on the parking route, the feature point to be registered on the map, based on a position of the camera or a relative position of the feature point with respect to an optical axis direction.

The invention relates to a narrow linewidth laser linewidth detection system based on spectrum reconstruction. The narrow linewidth laser linewidth detection system comprises a beam expanding collimation unit, an N-step etalon frequency discrimination unit, a beam splitting focusing unit, N point detectors and a multi-channel acquisition and data processing unit. The beam expanding and collimating unit is used for carrying out light beam collimation on incident measured laser, the N-step etalon frequency discrimination unit comprises N F-P cavities which are spliced into a multi-step etalon with a circular clear aperture, and the F-P cavities are used for respectively gating different spectral ranges of the measured laser and outputting parallel light with different energies. The beam splitting and focusing unit focuses the parallel light output by the N F-P cavities to the light sensing surfaces of the N point detectors respectively, and electric signals are formed through photoelectric conversion. And the multi-channel acquisition and data processing unit obtains a power measured value IM of each point detector, and calculates a power theoretical calculation value IjM of the N point detectors at the same time, thereby obtaining a line width value sigma of the measured single-frequency narrow-line-width laser. According to the invention, the problem that the 3dB bandwidth is difficult to directly read due to insufficient distinguishing capability of the existing frequency discriminator is solved.

The invention provides a transformer substation background data validity test method. The method comprises the following steps: firstly, acquiring model data, establishing a measuring point index and replacing an enabling index through a first terminal, namely a point detector, at the front end, pulling a database file and a picture file through a second terminal, namely a monitoring background, analyzing the database file and the picture file, and verifying the consistency of the model, so as to confirm the data consistency condition and the enabling attribute condition; substation background data validity checking is completed by replacing data checking of files and data messages, so that the automation level of the checking process is improved, and then the efficiency and validity of substation database data checking are improved; and the corresponding file retaining report is generated in the inspection process, and the inspection process of monitoring the data validity in real time can be realized, so that the timeliness of the substation background data validity inspection is improved.

The utility model belongs to the field of spectral measurement, and particularly discloses a spectrum analyzer based on an infrared single-point detector, which comprises a slit, a collimating mirror, a grating, a condensing mirror, a linear motor and the infrared single-point detector, the slit is used for guiding in light to be measured; the collimating mirror is arranged on a light path of the slit leading-in light and is used for collimating the slit leading-in light and then reflecting the light; the grating is arranged on a light path of reflected light of the collimating mirror and is used for reflecting the reflected light of the collimating mirror at different diffraction angles; the condenser mirror is used for focusing the reflected light of the grating at different spatial positions; and the infrared single-point detector is connected with the linear motor and is used for moving under the driving of the linear motor, so that the light intensity at different spatial positions is measured, and the measurement of the light spectrum to be measured is further realized. According to the spectrum analyzer provided by the invention, the cost can be greatly saved, and the spectrum resolution can be effectively improved.

The invention relates to the technical field of infrared temperature measurement, and particularly discloses an infrared radiation temperature measurement system based on a point detector, which is used for solving the problems that in a 200-1200 DEG C heating furnace, infrared temperature measurement of an existing point detector cannot dynamically select a point detector and a filtering wave band along with the state of a hearth, accurate measurement, quick response and long-term calibration of a wide temperature region are difficult to meet at the same time, and the accuracy of temperature measurement is low. The device comprises an optical platform, an optical path switching unit is arranged on the optical platform, the optical path switching unit is connected with a plurality of optical inlets, the optical inlets are converged to a main optical axis, and a dynamic narrow-band filter and a point detector selection module are sequentially arranged on the main optical axis; through adaptive selection of the dynamic filtering wave band and the point detector, multi-spectrum fusion inversion and an online self-calibration mechanism, the temperature measurement error and drift are reduced under the conditions of wide temperature range, high flue gas interference and long-term continuous operation, and the precision, response speed and reliability of temperature measurement of the heating furnace are improved.

The invention relates to a high-resolution liquid drop light splitting spectrometer, relates to the technical field of spectrometers, and solves the technical problem that a spectrometer in the prior art is difficult to realize low-cost and high-precision spectrum detection. The high-resolution liquid drop spectrophotometer comprises a lens coupling system, an optical fiber, a diaphragm, a liquid carrying sheet, a point detector and a signal acquisition and processing unit, a liquid drop generation device is arranged near the liquid carrying sheet and is used for accurately controlling the volume and the generation frequency of liquid drops generated on the liquid carrying sheet. The high-resolution liquid drop spectrophotometer is suitable for application occasions with strict requirements on cost and high resolution, such as the fields of biomedical detection, environmental monitoring, material analysis and the like.

The invention discloses a multi-mobile-agent anti-shake automatic aiming method, system and device and a medium, and relates to the technical field of target detection and tracking. According to the invention, a camera scene image frame is received and input into a detector, multiple post-processing and optimization operations are carried out on a target point set output by the detector, an optimal target point is selected as a tracking point, and finally tracking is carried out through external control equipment. On the basis of a key point detector, a multi-target screening strategy based on MOT is fused, a PID control method in mechanical control is applied to the post-processing stage of tracking for the first time, tracking delay is offset through self-adaptive fine adjustment, high-smoothness target tracking resisting redundant target interference is achieved, and the tracking precision is improved. The tracking lag phenomenon and front sight jitter caused by reasoning time delay are made up to the maximum extent, meanwhile, sudden situations such as large-amplitude change of the tracking direction and tracking point loss can be predicted, and a decision can be made in advance.

The application provides a face key point detector domain self-adaption method based on spatial deformation, which is used for realizing generalization of face key point detection, and comprises the following steps: preparing a source domain data pair and a target domain data; setting an iteration number and an updating frequency of alternating optimization; training by using the source domain data pair to obtain a pre-trained face key point detector on the source domain; performing iteration, and in each iteration, a face transformer and a face key point detector are sequentially optimized and updated, and the face transformer is embedded with the same face key point detector; and outputting the face key point detector obtained through the last training. According to the technical scheme of the application, the generalization problem of the face key point detection model on the target domain and more unseen domains can be overcome, and the data distribution of the target domain can be better adapted.

A motor control circuit includes a phase adjuster configured to adjust a phase of a targeted position detecting signal that is present after a subsequent cycle of a reference position detecting signal based on (i) a timing at which a drive current detected by a current-zero point detector becomes zero and (ii) the reference position detecting signal; and a drive controller configured to control a timing at which a drive voltage varies such that the timing of the drive voltage varying matches a timing at which a phase of a targeted position detecting signal changes, and to output the drive voltage.

The present application discloses a laser radar and a method for obtaining characteristic information, which belongs to the field of laser detection technology. Among them, the laser radar includes: at least two single-point emitters, at least two single-point detectors and at least one first beam splitter prism, at least one first beam splitter prism includes at least two light-emitting directions; each of the at least two light-emitting directions corresponds to at least one single-point detector, and at least two single-point emitters correspond one-to-one to at least two single-point detectors. The laser radar provided by the present application, by setting at least one first beam splitter prism, allows at least two light-emitting directions to correspond to at least one single-point detector, which is conducive to reducing the size of the laser radar and enhancing the applicability of the laser radar.

The application discloses a kind of mid-infrared discrete time stretching spectrum method, its characteristics are as follows:1) prepare the double-color pulse light source with slightly different repetition frequency;2) the pulse of pulse light source 1 is output wavelength broadening and time stretching for the signal light of nonlinear difference frequency, and the pulse of pulse light source 2 is output power amplification, for the pump light of nonlinear difference frequency;3) the time-domain broadening spectrum optical sampling of signal light by pump light pulse, obtain the pulse sequence of mid-infrared discrete time stretching;4) mid-infrared discrete chirp pulse is measured through low bandwidth mid-infrared detector after passing through the sample to be measured, and absorption spectrum information is obtained.The application has the advantages of wide band, high speed and high resolution compared with prior art, and the measurement of mid-infrared spectrum is completed by means of low bandwidth single-point detector, without dispersion spectrometer element and mechanical scanning device, which solves the problem of lack of time and high dispersion time-domain stretching medium in mid-infrared band, and expands the application of time stretching technology in mid-infrared band.

The present invention provides a fatigue driving behavior recognition method for 3D point cloud image data. First, collect 3D point cloud image video frames as the images to be processed; then, use the point-voxel fusion transformation network PVFTN to process the images to be processed to obtain the driver's face region feature image. The point-voxel fusion transformation network PVFTN includes three PVF modules, and the PVF module includes a point-voxel branch and a voxel branch; then use the multi-scale facial key point detector MSFLD to process the face region feature image to obtain the coordinates of 23 key points per frame; then calculate the aspect ratios of the left eye, right eye and mouth, and update the face fatigue parameter matrix; finally, use a method combining a statistical threshold and an adaptive threshold for judgment to obtain the judgment result of the driver's driving state, thereby realizing the judgment of the fatigue driving state of the driver in the motion state.

The invention relates to the technical field of infrared image processing, and discloses an infrared image feature extraction method, device and equipment and a storage medium, and the method comprises the steps: receiving a target infrared image; inputting the infrared image into a feature coding model, extracting feature points by using a feature point detector, and extracting descriptors by using a feature descriptor encoder; wherein the feature coding model is obtained by performing first joint training on an initial feature point detector and an initial feature descriptor encoder based on a preset image feature point data set and then performing second joint training on the feature point detector and the feature descriptor encoder after the first joint training based on an infrared image data set; the preset image feature point data set is constructed according to preset shape element images and corresponding feature point true values; the infrared image data set is constructed according to a preset infrared image. By applying the technical scheme of the invention, the recognition precision of the feature points and the feature descriptors in the infrared image can be improved.

Different from a single-point detector which can only measure one position, the test tool for electric field distribution test verification provided by the utility model has the advantages that the area array photoelectric detector is integrated with a plurality of photoelectric detectors and a plurality of output channels, so that multi-point simultaneous measurement can be carried out on an electric field in insulating oil; the electric field intensity of the insulating oil can be better represented through the electric field intensity of each detection point, the measurement result is more accurate and reliable, and meanwhile, the whole process of generation, movement and convergence of interface charges can be observed; besides, the photoelectric detectors have the same linear responsivity, and test verification is performed through the shockproof optical platform, so that mutual electromagnetic coupling is avoided, noise interference is also considered, and good test precision is ensured while the test efficiency is improved.

1. The name of the design product: infrared imaging node detector. 2. The use of the design product: for electronic semiconductor equipment, metal oxide and rust degree detection. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective view.

A switching apparatus comprising a point detector connecting rod connected at one end to a switch machine and to at least one point at the opposite end. The point detector connecting rod is attached to the point via an angled block that permits a sliding motion relative to the point.

The application discloses a deep fake detection method based on face geometric relation reasoning, relates to the field of video passive forensics, and is used for improving the generalization ability of a deep fake detection model. First, a face feature point detector is used to detect face key point features, and an explicit face geometric relation graph is constructed according to the internal facial feature structure; a global feature extractor is constructed by using a Transformer to obtain a global feature map of a face image; on the basis of the global feature map of the face, a high-information-area positioning mechanism is positioned by using a self-supervised learning mechanism, and an implicit face geometric relation graph is constructed; a face internal geometric relation reasoning module is constructed by using a graph convolutional neural network, the explicit and implicit face geometric relation graphs are combined in features, and fake detection is performed on a video frame to be tested. The application can effectively improve the accuracy of face deep fake video detection, has good model generalization performance under different data domains, and has practical value.

The present invention relates to the technical field of intelligent inspection equipment, and discloses an electromechanical-hydraulic intelligent dynamic inspection platform, which includes a workbench. An equipment box is provided at the bottom of the workbench. The upper end of a rotating member is movably connected to a connecting rod, and the lower end of the connecting rod is movably connected to a pushing block. One end of the pushing block away from the connecting rod is fixedly connected to a connecting column, and a point detector is movably installed at one end of the connecting column away from the pushing block. A vibration meter is fixedly connected to the upper surface of the sliding block. The inspection platform includes mechanical inspection, hydraulic inspection, pneumatic inspection, electrical inspection, instrument type, and PLC process control. When the inspection platform is in use, the connecting rod drives the point detector to move through the connecting column, and the lower part of the point detector drives the vibration meter to move together, so that the point detector and the vibration meter move to the outside of the object to be detected for inspection. Both the vibration meter and the point detector can be disassembled and other test devices can be installed, which not only improves the working efficiency of the inspection platform but also greatly speeds up the progress of the inspection work.

The application discloses an online counter electromotive force zero point detection device, which comprises a base, a first device, a second device, a counter electromotive force zero point detector and a multi-gear electric drive assembly controller. The first device is used for positioning, lifting, automatic oil injection and extraction and weighing of a tray and the multi-gear electric drive assembly. The second device is used for clamping the multi-gear electric drive assembly on the first device, and is used for butt joint with a spline shaft extended from the multi-gear electric drive assembly and butt joint with three-phase copper bars on the multi-gear electric drive assembly. The counter electromotive force zero point detector is used for detecting counter electromotive force and zero point of the multi-gear electric drive assembly. The multi-gear electric drive assembly controller is connected with the multi-gear electric drive assembly and is used for controlling the work of an oil pump and gear shifting operation in the multi-gear electric drive assembly. The use of the device greatly improves the detection efficiency of the counter electromotive force zero point detection on the multi-gear electric drive assembly assembly line, optimizes the detection process, and greatly improves the reliability of the detection.

The utility model discloses an ultrasonic leakage point detection device for a waste heat supply pipe network, which comprises a safety helmet, and an ultrasonic leakage point detector is arranged on the safety helmet. The ultrasonic leakage point detector is connected with an earphone, a connecting rod is connected to the front of the ultrasonic leakage point detector, and the connecting rod is connected with a display screen; the ultrasonic leakage point detector is connected with a detection handle through a wire, a detection probe is arranged at the end of the detection handle, and marking mechanisms arranged in parallel are installed on the detection probe. The pen has the advantages of being simple in structure, convenient to use and capable of marking positions.

The invention discloses an underwater environment autonomous exploration method, device and system, and a storage medium, and the method comprises the steps: S1, constructing a random tree in an occupation grid map constructed by an underwater vehicle through a multi-beam sonar through a boundary point detector, so as to search a boundary point; s2, clustering the detected boundary points through a filter; and S3, the clustered boundary points are evaluated through a utility function and are allocated to the aircraft, and the aircraft starts to move towards the boundary points for exploration. By adopting the technical scheme of the invention, the problems that an omnidirectional method is easy to stop in an underwater environment and the exploration efficiency is low are solved.

The present invention discloses a wavefront sensing system and a wavefront information decoding method using single-channel polarization encoding. The polarization information in the wavefront signal is utilized for the first time to realize polarization encoding and decoding of the spot pattern position information, getting rid of the dependence of the traditional Shack-Hartmann sensor on the photoelectric array sensor, while also solving the pain points in the wavefront detection of dim targets, exploring the application potential of single-point detectors in the field of wavefront sensing, and further expanding the application field of adaptive optical systems.

1. Name of the product in this design: CO2 two-phase absorbent phase separation point detector. 2. Purpose of this design: To determine the phase separation point of the two-phase absorber after absorbing CO₂ by using infrared detection to capture CO₂ and trigger the liquid-liquid phase transition mechanism. Application areas and locations: Used for capacity monitoring of two-phase absorbents for capturing CO₂ in flue gas in coal-fired power plants, steel plants, and cement plants. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention discloses a broadband spectrum microscopic system based on Fourier single-pixel simultaneous imaging, and relates to the technical field of UVA-near infrared two-region multispectral synchronous imaging. The system comprises a broadband spectrum light source, a microscopic module, a Fourier structured light generation device, a scattering medium homogenization module, a multi-channel narrow-band detector array, a multi-channel data acquisition system and a calculation imaging processing unit. By arranging and combining a plurality of narrow-band single-point detectors and combining the scattering effect of ground glass, efficient synchronous acquisition and space uniform distribution of UVA to near-infrared two-region multispectral signals are realized, and the problems of complex hardware, low time resolution, spectral crosstalk, incomplete view and the like in traditional multispectral imaging are solved. According to the system, the Fourier single-pixel imaging principle is utilized, through the synergistic effect of structured light coding and a single-pixel detector, the view field consistency of multispectral images is ensured on the hardware level, later registration is not needed, meanwhile, the system has high sensitivity, low cost and compactness, and the system is suitable for high-resolution wide-spectrum microscopic imaging in the fields of biomedicine, material science and the like.

The application discloses a laser loading energetic material detonation velocity rapid prediction method and system, and belongs to the field of energetic material detonation performance detection. The application uses a pulse laser to interact with an energetic material to generate a shock wave, uses a single-point APD detector to record and store voltage changes of the APD, obtains an attenuation signal of the shock wave when the shock wave passes through a detection light beam, extracts interval time between a pulse signal and different height attenuation peaks from the energetic material surface, fits a time-position relationship through a corrected point explosion model, obtains corresponding shock wave characteristic velocity, establishes a linear regression relationship with a macroscopic detonation velocity, and realizes rapid prediction of the energetic material detonation velocity. The application only needs 5-10 mg of a sample, realizes extraction of the shock wave velocity of the energetic material through a single-point detector, obtains the shock wave characteristic velocity, linearly fits the shock wave velocity and a known detonation velocity, and predicts the energetic material detonation velocity. The application can improve the research and development efficiency of the energetic material and reduce the research and development cost.