391 results about "Synchronous detection" patented technology

The invention discloses a radioactive substance multi-point synchronous detection and identification method and system, and relates to the technical field of radioactive substance monitoring. Comprising the following steps: step 1, collecting multi-point radiation data in real time, and preprocessing and storing the data; step 2, constructing a spatial adjacency matrix, estimating a local spatial gradient, calculating an anomaly degree value, taking optimization measures, and performing collaborative anomaly evaluation on the monitoring nodes; 3, calculating a total fitting error value, reversely deducing a leakage source position and leakage intensity in real time, and taking corresponding measures in real time; 4, abnormal trend identification is carried out, an early warning judgment value is calculated, and graded early warning and multi-node cross confirmation measures are implemented; and 5, receiving and storing various types of data, carrying out visualized analysis on the data, and supporting event processing and feedback. The problems that due to the fact that some devices are good in shielding and have physical obstruction, trace leakage is difficult to detect by a single-point monitor, and the risk of long-term retention pollution exists are solved.

The invention discloses a nondestructive testing device for a steel profile and a testing method of the nondestructive testing device. According to the method disclosed by the invention, the ultrasonic technology is combined with optical imaging, so that synchronous detection of surface and internal defects can be completed at one time. Ultrasonic waves penetrate through the interior of the steel profile, and hidden defects such as cracks and air holes are accurately recognized; the optical camera module captures visible problems such as surface scratches and corrosion in real time. The integrated detection mode avoids the tedious process of step-by-step operation required by a traditional method, for example, magnetic powder detection of surface defects and ultrasonic scanning of an internal structure are not needed, the detection period is greatly shortened, and the method is especially suitable for steel structure buildings, bridge engineering and other scenes with high requirements for detection efficiency and has good application prospects. The full-process automatic design effectively reduces the influence of human intervention, and ensures the scanning continuity of the detection area; the intelligent algorithm automatically analyzes the ultrasonic echo signal and the optical image data, and judges the defect level according to the preset standard, thereby avoiding subjective misjudgment of manual visual inspection.

The invention discloses a cable branch box multi-mode cooperative control system and method, and relates to the technical field of power equipment intelligent control, and the method comprises the following steps: injecting a low-amplitude synchronous detection pulse in an operation environment of a cable branch box, collecting a feedback response signal of the detection pulse, inverting an arrival sequence of an interference signal according to the feedback response signal, and carrying out the inversion of the arrival sequence of the interference signal; and constructing a micro time slot interference portrait, and generating a time sequence baseline for an interference identification reference. According to the method, the time sequence base line is established through micro time slot detection, and accurate identification of microsecond interference signals is realized in combination with phase consistency analysis, multi-channel sampling and a cross-cycle evolution model. The false triggering probability is reduced by adopting a phase-locked suppression and delay cache mechanism, and the safe release of peak energy is realized through a phase turn-back amplitude limiting and energy guiding mode, so that the stability and the anti-interference capability of the cable branch box in a complex electromagnetic environment are remarkably improved.

The invention discloses a video time synchronization processing method and system based on a high-precision network timing protocol. According to the method, time frequency traceability is provided for an internal taming clock module and a clock synchronization module of a processing host through second pulse signals; the internal taming clock module selects to execute a clock taming operation or switch to a self-travel time mode according to whether the external time reference exists or not; according to the time synchronization detection result of the video synchronization processing module, if it is judged that the time synchronization difference between different cameras exceeds a preset range, hardware trigger signals are sent to the cameras through an external trigger generation module, so that camera parameters are adjusted, and key frames are generated; and the video synchronous processing module identifies key frames generated by the multiple cameras by adopting an image definition evaluation method, and completes time axis alignment of the video streams of the multiple cameras based on the key frames. According to the invention, the problem of low synchronization precision or accumulative error and network jitter in the prior art is solved; the time delay after the software is aligned is high, and the camera and the processing host lack feedback linkage.

The invention discloses an on-line detection system for glucose content and conductivity, comprising: a two-parameter synchronous detection module integrated in a to-be-detected liquid loop and used for synchronously detecting the glucose content and conductivity at the stages of concentrated solution preparation, inlet filling, cleaning and to-be-detected liquid testing; the real-time detection device comprises a cooperative control module for controlling the signal acquisition time sequence of the glucose content detection and the conductivity detection through time division multiplexing or an independent channel; the compensation calibration module is used for dynamically calibrating sensor parameters based on the concentration data of the real-time standard liquid and compensating a detection result in combination with temperature monitoring data; the data processing module is fused with multi-dimensional data prediction, counteracts cross interference, carries out feedforward compensation on sensitivity attenuation of the sensor in combination with historical data, and outputs a glucose content and conductivity detection result; the multi-dimensional data comprises glucose content, conductivity and temperature. According to the invention, the stability, precision and long-term reliability of online detection are significantly improved.

The invention provides wafer detection equipment and method, and relates to the technical field of semiconductor manufacturing. The equipment comprises a base platform, a wafer carrying table movably arranged on the base platform, a front surface detection device arranged above the wafer carrying table, and a back surface detection device arranged below the wafer carrying table. The back face detection device comprises a supporting part for supporting the wafer, a containing cavity is formed in the supporting part, and the containing cavity is filled with transparent liquid to infiltrate the outer surface of a blue film on the back face of the wafer. Light scattering caused by frosted texture of the blue film is eliminated through infiltration of the transparent liquid, meanwhile, the wafer is supported through the supporting part to avoid the sagging problem, front and back synchronous detection without overturning of the wafer is achieved, and the technical problems of blue film imaging obstacle and automatic detection failure in the prior art are solved.

The invention discloses a pattern wafer multi-parameter synchronous detection system and method based on double optical combs, and belongs to the field of wafer quality detection. The system comprises a signal light path, a reference light path, a detection light path and a synchronous detection module. After interference, the detection light beam and the reference light beam are decomposed into an H path and a V path through the polarization beam splitter, and are synchronously detected by the first camera and the second camera. The invention also provides a method which comprises the following steps: synchronously acquiring two paths of time domain interference data; fourier transform is carried out on each pixel point to obtain a plurality of spectrum pairs; the processing unit decodes in parallel based on the spectrum pair, and synchronously inverts multi-dimensional physical parameters such as three-dimensional morphology, stress and film parameters of the pattern wafer; and finally, comparing and identifying defects. According to the method, the problems of low detection efficiency and single information dimension in the prior art are solved, and wide-field, high-speed, high-precision and multi-parameter synchronous comprehensive characterization is realized.

The invention provides an eddy current sensor signal noise reduction method based on frequency division detection low-pass filtering and a monitoring system, belongs to the technical field of sensor signal processing, and can at least partially solve the problems of unstable signals and inaccurate measurement in the prior art. The signal noise reduction method for the eddy current sensor comprises the following steps: processing an original output signal of the eddy current sensor by adopting a synchronous detection module, demodulating a dynamic vibration alternating current component of the original output signal into a direct current voltage signal by utilizing a reference signal, and separating a static displacement direct current component signal; an independent dynamic signal channel and an independent static signal channel are formed; filtering high-frequency noise in the dynamic signal channel through a dynamic channel low-pass filter with a first preset cut-off frequency, and filtering power frequency interference in the static signal channel through a static channel low-pass filter with a second cut-off frequency; and reversely injecting compensation voltage at the output end of the static channel low-pass filter so as to eliminate the direct-current offset error of the static displacement component signal.

The invention discloses an aluminum wiring terminal, a wiring terminal unit and an assembling method, and the method comprises the steps: carrying out the laser etching of a joint surface of an aluminum conductive sheet, forming a pretreated conductive sheet with a micro-nano structure, depositing a protective coating on the joint surface, and carrying out the curing, and obtaining a conductive sheet with a protective coating. And then crimping and assembling with an insulating shell assembly to form a crimping assembly, and fixing bolts are arranged in the insulating shell assembly. Applying resonance fastening of characteristic frequency to a fixing bolt in the crimping assembly, injecting a lubricating medium in the fastening process, performing synchronous detection and verification of multi-physical field parameters on the fastening assembly, and feeding back detection data to a production control system to optimize assembly process parameters; the micro-nano structure is constructed on the joint surface of the conducting strip and the protective coating is deposited, so that the interface conductivity and oxidation resistance are remarkably improved, online detection and dynamic feedback optimization are integrated, and the consistency and reliability of the product are improved.

The invention provides a target multi-dimensional feature measurement laser radar system and method based on multi-channel synchronous detection. The system comprises a signal generation module, a multi-aperture receiver, a multi-channel balance detector, a feature extraction module, a feature fusion module and a target identification module. The signal generation module generates various modulation signals, each aperture receiver in the multi-aperture receivers receives and transmits one modulation signal, the multi-channel balance detector receives the various modulation signals and demodulates the modulation signals to obtain demodulated signals, the feature extraction module receives the demodulated signals to perform multi-dimensional feature extraction, and the multi-dimensional feature extraction module extracts the multi-dimensional features of the demodulated signals. The feature fusion module receives the multi-dimensional features for fusion to obtain enhanced features, and the target recognition module receives the enhanced features for target recognition. The system adopts integration of a multi-channel balance detector and a multi-aperture receiver. Each aperture transmits and receives a unique modulated signal to and from the same target, thereby enabling simultaneous processing of different types of signals. The system extracts multi-dimensional features of a target, such as a high-resolution Doppler image (HRDP) and a high-resolution distance image (HRRP), so as to achieve higher resolution and recognition precision.

The invention discloses a synchronous detection system for surface density and wall thickness uniformity of a composite bulletproof helmet, which belongs to the technical field of bulletproof helmet detection and comprises a detector cooperative control module, a two-parameter synchronous acquisition module, a data preprocessing module, a two-parameter cooperative constraint module and an intelligent modeling output module. Through the integrated design that the detection unit integrates the 3D scanning detector, the microwave thickness measuring probe and the beta-ray density detector, and in cooperation with the synchronous triggering and double-channel signal acquisition mode of the double-parameter synchronous acquisition module, synchronous acquisition of the surface density and wall thickness data of the helmet is realized; the problems that traditional step-by-step detection is low in efficiency and poor in data relevance are solved, the detection efficiency and the accuracy of quality judgment are greatly improved, meanwhile, a detection report containing process optimization suggestions is output, the problems that traditional detection results are not visual, and connection with the production process is not smooth are effectively solved, and the product quality is improved. And accurate guidance can be provided for mass production quality control and process adjustment.

The invention discloses a hydraulic tunnel defect full-automatic detection device, and relates to the technical field of tunnel defect detection devices.The hydraulic tunnel defect full-automatic detection device comprises a walking frame body which comprises an annular frame and a walking frame body; the diameter of the annular frame is adjustable so that the peripheral side of the annular frame can be close to the inner peripheral wall of the tunnel in a contour fit mode. The walking mechanism is connected with the annular frame and used for driving the annular frame to walk in the axial direction of the annular frame, and then the arrangement position of the annular frame in the tunnel in the length direction is adjusted. The detection assembly comprises a transmitting assembly used for transmitting detection waves to the inner circumferential wall of the tunnel and a receiving assembly used for receiving echo signals of the detection waves; the transmitting assemblies are evenly distributed on the peripheral side of the annular frame, the receiving assemblies are evenly distributed on the peripheral side of the annular frame, and the receiving assemblies and the transmitting assemblies are arranged at intervals so as to jointly conduct multi-point distributed synchronous detection on the inner peripheral wall of the tunnel. According to the invention, full-automatic detection of diversion tunnel defects can be carried out efficiently, accurately and at low cost, and a scientific basis is provided for maintenance and management of the tunnel, so that the safety of the tunnel is improved.

The invention relates to the technical field of temperature sensing, in particular to a multivariate edge acquisition method. Comprising the following steps: acquiring multivariate data to obtain original data; performing edge feature extraction according to the original data to obtain an extraction result; performing temperature field reconstruction according to an extraction result; performing temperature anomaly judgment according to a reconstruction result of the temperature field reconstruction to obtain a judgment result; and outputting an alarm according to a judgment result. In the prior art, although most thermal imaging systems on the market can provide temperature distribution images, the fusion degree of the temperature distribution images and visible light data is low, and an effective multi-modal data alignment and registration technology is lacked, so that accurate body temperature positioning and individual recognition are difficult to realize in a complex scene. An existing system lacks intelligent data analysis capacity, and rapid positioning and tracking of abnormal body temperature are difficult to achieve. Compared with the prior art, the influence of strong light interference and temperature and humidity fluctuation on the temperature measurement precision is effectively reduced, and multi-target body temperature synchronous detection in a complex scene is achieved.

The invention relates to a lithium manganese battery multi-station visual detection system and a lithium manganese battery multi-station visual detection method in the technical field of battery manufacturing and detection, and aims to solve the problems of high missing detection rate and high false detection rate caused by single detection dimension, poor algorithm adaptability and information splitting in existing battery detection. According to the technical scheme, the system is characterized by comprising a multispectral imaging module, a three-dimensional detection unit, an edge calculation node and an execution mechanism, synchronous detection of the electrolyte filling amount, the lithium piece crack and the diaphragm alignment precision is achieved through a multi-modal feature fusion algorithm, and the execution mechanism is linked to conduct automatic liquid supplementing, removing and correcting. The method is mainly used for high-quality detection and automatic control in the lithium-manganese battery production process.

The invention discloses a high-precision synchronous detection system and method for mutual influence of current loops of an independent multi-loop electric energy meter. According to the invention, the high-precision current transformer is adopted, a connection framework of primary side series connection, secondary side positive end parallel connection and negative end independence is innovatively designed, and a double-magnetic-ring compensation technology is matched, so that high-precision detection of synchronous same current and synchronous different current of each current loop of the independent multi-loop electric energy meter is realized; the detection cost is remarkably reduced by more than 50%, meanwhile, the precision requirement of 0.05% can be met, and the technical problem that synchronous detection of multiple loops and high-precision verification of the fixed proportion relation of the multiple loops cannot be achieved through a traditional method is effectively solved.

The invention discloses a method for monitoring tail gas emission of an aircraft refueling vehicle, and solves the problem that PM quantitative data acquisition is inaccurate in a complex environment of an airport. The method comprises the following steps: stably sampling and removing aviation kerosene steam through a sampling probe integrating sensing and flow guide adjustment; synchronously detecting and deducting background gas interference; performing secondary dehumidification and constant-temperature pretreatment on the tail gas; the double detection units are linked to collect multi-dimensional data, and a nonlinear interference correction model is constructed through fusion; and adopting an exclusive calibration mode and marking invalid data. The method further comprises the design of wind speed adaptation, condensation backflow prevention, working condition and area label optimization, double-link encryption transmission, safe installation, optical signal compensation, graded maintenance and the like. The method can resist multiple environmental interferences, PM detection errors are controllable, data updating is efficient, and airport safety operation and compliance monitoring requirements are met.

The embodiment of the invention discloses a cable partial discharge signal multi-end synchronous detection method and device and a medium, belongs to the technical field of cable partial discharge detection, and solves the problem that the misjudgment rate is high due to the fact that real partial discharge pulses and interference signals are difficult to effectively separate through traditional fixed threshold value judgment. The method comprises the following steps: respectively acquiring original acquisition signals through signal acquisition devices at two ends of a to-be-detected cable, and preprocessing the original acquisition signals; performing sliding time window division on the preprocessed original acquisition signal, and determining short-time energy and spectral entropy features corresponding to each sliding time window; a joint detection index is constructed based on the short-time energy and spectral entropy features, and partial discharge signal identification is carried out based on an adaptive statistical threshold and the joint detection index; under the condition that partial discharge signals exist in the original acquisition signals, partial discharge signal segmentation is carried out on the preprocessed original acquisition signals; and performing partial discharge signal positioning based on partial discharge signals corresponding to the two ends of the to-be-detected cable through a frequency domain reflection method.

The invention relates to the technical field of panel synchronous detection, in particular to a synchronous detection method for multiple types of OLED panels, which comprises the following steps: determining glass substrates and a to-be-detected type of OLED panel set, performing grid division on the glass substrates to obtain a standard grid set, conveying the arranged glass substrates to a pre-constructed detection station to obtain to-be-detected glass substrates, and detecting the to-be-detected type of OLED panels on the to-be-detected type of OLED panels on the to-be-detected type of OLED panels on the to-be-detected type of OLED panels. The method comprises the following steps: globally shooting a glass substrate to be detected to obtain a global panel image, segmenting the global panel image to obtain a segmented panel image set, obtaining a panel image feature set, confirming a panel information parameter set according to the segmented panel image set and the panel image feature set, obtaining a detection data set based on the panel information parameter set, and obtaining an accurate defect coordinate set according to the detection data set, and completing synchronous detection of multiple types of OLED panels based on the accurate defect coordinate set. According to the invention, the detection efficiency and accuracy of multiple types of OLED panels can be improved.

The invention belongs to the technical field of audio quality analysis, and discloses an algorithm-based audio quality analysis method and system, and the method comprises the steps: employing a lightweight CRNN model to fuse audio-video dual-mode features through the cooperation of a multi-problem joint detection module and a self-adaptive feature fusion extraction module, and carrying out the algorithm-based audio quality analysis. The five problems of abnormal volume, noise and the like are synchronously detected in combination with a multi-task learning framework, and a bottom-layer feature network is shared to avoid parameter conflicts; meanwhile, weighted binary cross entropy loss is introduced, and the detection rate of low-probability problems such as howling and sound interruption is enhanced; compared with a traditional sub-module scheme, the design eliminates the contradiction that noise suppression excessively weakens voice, the multi-problem detection accuracy is remarkably improved, the result consistency is greatly improved, and the accurate detection requirement for concurrency of multiple problems in a conference scene is met; and full-link adaptation is realized through a dynamic parameter adjustment mechanism: the difference perception feature learning expands the normal / abnormal frame feature difference, and the sensitivity of a low signal-to-noise ratio scene is improved.

The invention provides a wafer defect double-sided synchronous detection optical module and device, and relates to the technical field of semiconductor material surface defect nondestructive detection. The wafer defect double-sided synchronous detection optical module and the wafer defect double-sided synchronous detection optical module and the wafer defect double-sided synchronous detection optical module have the advantages that detection optical paths can be designed according to characteristics of third-generation compound semiconductor materials and classified statistics of common defects, various optical response mechanisms are integrated, and synchronous detection of the upper surface and the lower surface of a to-be-detected sample is realized.

The invention discloses a temperature and hydrogen concentration dual-parameter synchronous detection system and method, and the system comprises an ASE broadband light source, the output of the ASE broadband light source is divided into two paths through a coupler, one path enters a first circulator, the other path enters a second circulator, the output of the first circulator enters a first FBG sensor, the output of the second circulator enters a second FBG sensor, and the output of the first FBG sensor enters a second FBG sensor. The two FBG sensors are arranged in the gas chamber, the first FBG sensor and the second FBG sensor are provided with FBG topological optical fiber structures with different working wavelengths and have temperature sensitivity and gas selective response, and reflected signals of the two FBG sensors are coupled to one path through the dual-channel wavelength division multiplexer and are sent to the spectrum analyzer for wavelength demodulation. The temperature sensitivity and the gas selective response are integrated in the same sensing unit by utilizing the wavelength coding characteristic of the fiber bragg grating, so that precise decoupling and real-time output of double parameters are realized, and the detection efficiency and the data consistency are improved.

The invention belongs to the technical field of valve detection, and particularly relates to a sealing performance detection device of a valve and a use method thereof, and the sealing performance detection device comprises a fixed frame, a detection box, a plurality of movable frames, a clamping part, a plurality of groups of inflation parts, and a driving mechanism. A detection box for containing detection liquid is arranged below the fixed frame, and the detection box can be close to and far away from the fixed frame; the plurality of movable frames are distributed on the fixed frame in a circumferential array mode, the movable frames are connected with the fixed frame in a sliding mode in the vertical direction, the motion trail of the movable frames comprises an initial position and a marking position, clamping pieces are arranged on the movable frames, and the clamping pieces can clamp and release a to-be-tested piece; each group of inflating parts corresponds to one group of clamping parts, each inflating part comprises two sealing plates, the two sealing plates can seal two ports of the to-be-tested part, one sealing plate is provided with an inflating pipe, and the to-be-tested part can be inflated through the inflating pipe; the driving mechanism can switch the movable frames from the initial position to the marking position in an alternative mode and can switch all the movable frames from the marking position to the initial position at the same time. Compared with the prior art, by means of multi-station synchronous detection and semi-automatic defective product marking, the detection efficiency of batch valves is remarkably improved.

The present application relates to water quality detection and analysis technical field, specifically to a kind of water total phosphorus multi-parameter synchronous detection method based on water, comprising: after the original water sample is pretreated, the standard test solution obtained is simultaneously introduced into parallel digestion tank and optical cell, and the digestion and conversion of phosphorus compound and the collection of water sample background spectrum are completed synchronously.Digestion liquid is distributed to multiple independent color developing channels, each channel uses characteristic color developing agent configured for different concentration interval or interference condition, concurrent color developing reaction is carried out under the same environment, and the reaction kinetics time sequence spectrum of each channel is collected.The background spectrum and all kinetic spectrum sequences are input into integrated calibration model for data fusion and cross analysis, and total phosphorus content detection result is directly output.The method realizes wide concentration range, high anti-interference capability of water total phosphorus rapid and accurate detection by parallel acquisition of homologous background information and multi-reaction channel kinetic data.

A kind of heart sound sensing structure and its preparation method, the structure includes double SOI substrate, center mass, elastic support beam, piezoresistive sensing unit and capacitive sensing unit.The front surface of center mass is provided with additional mass layer, and the back surface is kept bottom layer silicon to increase thickness;Elastic support beam connects mass and frame;Piezoresistive sensing unit is composed of four piezoresistors to form wheatstone bridge, and capacitive sensing unit includes movable and fixed comb-tooth capacitive plate crossing each other.When the sound pressure gradient of heart sound signal drives mass to deviate, elastic support beam bends to change piezoresistive value, and at the same time, comb-tooth capacitive plate overlapping area changes to cause capacitive value change, to realize piezoresistive and capacitive dual-mode synchronous detection.Two kinds of detection mechanisms calibrate each other, which significantly improves the sensitivity and anti-interference ability of low-frequency heart sound signal.The preparation method is based on double SOI substrate, integrated by ion implantation, etching, metal deposition and 3D printing process, suitable for miniaturized wearable heart sound monitoring application.

The invention discloses a crawler excavator driving speed and driving linearity detection system and method, and the system comprises a target plate group, a laser displacement sensor, a microcontroller MCU and a Phyphox mobile phone terminal special test software, the target plate group comprises target plates A, B and C which are sequentially arranged along a preset driving route, the center lines of the three target plates are collinear and are parallel to the initial advancing direction of the excavator; the detection axis of the laser displacement sensor is orthogonal to the advancing direction of the excavator, and the horizontal distance between the excavator and the target plate is collected in real time; the MCU is used for acquisition, preprocessing, operation and data communication of signals of the laser displacement sensor; the Phyphox mobile phone end special test software establishes communication with the microcontroller MCU through Bluetooth to process detection data, synchronous detection of the driving speed and linearity is achieved, and the test efficiency is improved; whether the excavator is in a constant-speed driving state on a test road section or not is accurately judged, and the requirement that the driving speed of the excavator in a test area is constant is met.

The invention discloses a satellite synchronous detection signal transmitting device and applying method for an underwater large-burial-depth pipeline, and relates to the technical field of satellite synchronous detection, and the satellite synchronous detection signal transmitting device comprises a low-frequency shear force sensing module, a near-resonance recognition modeling module, a target detuning adjustment module, a pre-distortion beam generation module, a leakage spectrum suppression module and a closed-loop adaptive control module. And the low-frequency shear force sensing module is used for constructing a low-frequency shear force real-time sensing link. According to the method, through low-frequency shear force sensing, parameterized structure modeling, damping and rigidity cooperative adjustment, predistortion beam control and leakage spectrum screening, real-time prediction and active suppression of the antenna resonance risk in the deep sea environment are achieved, and the pipeline positioning precision is guaranteed. By combining satellite positioning residual error and time delay drift feedback, closed-loop adaptive control is constructed, a driving structure and signal collaborative optimization are realized, anti-resonance and leakage suppression effects are kept for a long time, an unattended operation period is prolonged, and detection reliability and data validity are improved.

The invention discloses a device and a method for synchronously detecting the focal length and the surface topography of a micro-lens array, which can realize synchronous detection on the focal length and the surface topography of the micro-lens array through a set of system, realize mutual matching between two parts of results and greatly shorten the detection time. The device comprises a first monochromatic laser light source (1), a first collimating lens (2), an attenuation sheet (3), a reflector (4), a microlens array sample (5), a microscope objective (6), a barrel lens (7), a first quarter-wave plate (8), an area array detector (9), a first monochromatic optical filter (10), a second monochromatic laser light source (11), a second collimating lens (12), a linear polarizer (13), a beam splitter prism (14), a polarization beam splitter prism (15), a second quarter-wave plate (16) and a reference lens (17). A third quarter-wave plate (18), a second monochromatic optical filter (19) and a polarization camera (20).

This utility model discloses a synchronous extension detection device, relating to the field of seat belt bracket detection technology. It includes a support frame and a support plate mounted on the upper surface of the support frame. A first cylinder is provided on the upper surface of the support plate, with its output end penetrating the support plate and fixedly connected to the upper surface of a lifting plate. A spring is also fixedly provided on the lower surface of the lifting plate, with the other end of the spring connected to a guide plate. A third limiting groove is provided on one side of the guide plate, and a matching guide plate is slidably mounted on the third limiting groove. This utility model uses a second cylinder to drive the guide plate to move up and down within the second limiting groove. The extension pin, under the action of the guide shaft, extends forward synchronously to perform a push detection on the tightness of the seat belt bracket and the two sides of the reinforcing plate. This achieves synchronous detection of the tightness of the connection between the seat belt bracket and the two reinforcing plates, improving detection efficiency and accuracy, and meeting the needs of large-scale production of automotive parts.

The invention discloses a method for positioning voltage fluctuation of a direct-current power supply system caused by mechanical vibration and related equipment. The method comprises the following steps: acquiring vibration data, a bus voltage value, a bus anode ADC value and a bus cathode ADC value; judging whether bus voltage fluctuation caused by mechanical vibration exists or not according to the vibration data and the bus voltage value; when the bus voltage fluctuation exists, bus voltage fluctuation alarm information is obtained, and according to the bus positive electrode ADC value and the bus negative electrode ADC value, the disconnection occurrence condition is determined, and disconnection related information is obtained; and the correlation is synthesized into an alarm record, and fault positioning is carried out on voltage fluctuation of the direct-current power supply system caused by mechanical vibration according to the alarm record. According to the embodiment of the invention, vibration and voltage fluctuation can be synchronously detected, abnormal voltage fluctuation caused by mechanical vibration can be effectively detected, and the efficiency and precision of fault positioning are improved. The method can be widely applied to the technical field of circuit detection.

The invention provides a runner chamber wall thickness and void synchronous detection method, and relates to the technical field of hydro-power engineering nondestructive testing, S1, modular calibration: preparing a combined simulation block of a metal standard plate and an organic material plate, establishing a concrete water content inversion model and a void depth model segmented according to the thickness of a steel lining, and outputting calibration parameters; s2, field data acquisition: arranging measuring lines along a vertical welding seam and a longitudinal rib plate of the runner chamber, acquiring ultrasonic echo time and a thermal neutron counting rate, correcting the wall thickness in combination with the temperature of a steel lining, performing secondary verification on an abnormal measuring point, and outputting an original data set S = {}; and S3, machine learning signal processing: performing wavelet packet decomposition to extract energy ratio characteristics, and calculating thermal neutron counting rate fluctuation characteristics. Precise collaborative detection of the wall thickness and the void is realized through a link-by-link process of modular calibration, field data acquisition, machine learning signal processing, segmented collaborative modeling and Internet of Things data management.