493 results about "Synchronous detection" patented technology

The invention relates to the technical field of power distribution network fault positioning, in particular to a power distribution network fault positioning method based on traveling wave detection, and the method comprises the following steps: S1, distributed detection network construction and signal collection: collecting a three-phase current traveling wave signal in real time; s2, time-frequency joint analysis and feature extraction: extracting time-frequency energy distribution features; s3, intelligent screening of effective fault wave heads: screening out the effective fault wave heads; s4, initial arrival time parameter determination: determining the initial arrival time of each detection point; s5, according to topology self-adaptive error correction, transmission path wave velocity deviation is corrected through line parameter dynamic compensation, and clock errors of the asynchronous detection device are eliminated through adjacent node clock difference estimation; and S6, multi-source data fusion and fault positioning: resolving space coordinates of fault points. According to the invention, the method improves the recognition accuracy of fault features, and solves the problems of poor anti-interference capability and high misjudgment rate of a single feature in a conventional method.

The invention relates to the technical field of stamping part detection, and discloses a stamping part size and defect synchronous detection method and system. The method comprises the steps that the multi-sensor measurement module is used for collecting line laser scanning morphology data, infrared thermal image strain data and structured light projection contour data of a stamping part; multi-sensor data registration is achieved through a feature point matching algorithm, and a three-dimensional space coordinate mapping relation is generated; calculating the thermal expansion compensation amount of the material in combination with a thermal deformation correction model; filtering the structured light projection contour data, and extracting key contour feature points and defect region boundaries; inputting the related data into a multi-source data fusion model to obtain a dimensional deviation and defect fusion detection result; based on this, a measurement path is updated through a dynamic path planning algorithm, and a synchronous detection scheme is output. The device can synchronously detect the size and defect of the stamping part, improves the detection precision and efficiency, achieves the quality grade classification, and is high in adaptability.

The invention discloses a distribution network cable fault early warning method and system based on multi-terminal synchronous traveling wave detection, and relates to the technical field of cable fault detection. The method comprises the following steps: deploying at least three synchronous detection ends at each branch end point of a cable, and synchronously triggering a sampling rate; establishing a master-slave synchronous network, and performing frequency spectrum correction on the acquired data; constructing a real-time correction model based on the data of the distributed temperature sensor; extracting early fault features, and constructing a three-dimensional feature tensor; carrying out preliminary diagnosis on edge nodes and carrying out feature classification by adopting a transfer learning optimization network; and in combination with the cable load rate and the environment temperature and humidity, an early warning threshold self-adaptive model based on fuzzy PID (Proportion Integration Differentiation) is established. Through multi-terminal cooperative perception and intelligent analysis, the scheme converts a fault processing mode from passive first-aid repair to active defense, improves the manual inspection efficiency of the distribution network cable, and finds early fault hidden dangers in advance.

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 high-speed strip steel defect detection method and system based on anomaly enhancement and image reconstruction, the problem that part of defects are difficult to recognize is solved by adopting a pseudo anomaly enhancement method, the defects difficult to detect are divided into a scratch type and a stain type, a local average gray level floating method is designed to generate scratch type pseudo anomalies, and the defect detection accuracy is improved. And a contour random disturbance method is used to generate stain type pseudo anomalies, and local difference features are provided for the model. And a lightweight image reconstruction model of an encoder-decoder structure is designed to achieve high detection speed and meet the requirement of synchronous detection. According to the method, performance testing is carried out on a strip steel surface image data set, advanced performance evaluation is obtained, and the effectiveness of the method is proved.

The invention discloses a wafer front and back surface detection system and method, and the system comprises a first scanning system which comprises a first light source module and a first camera module, and a second scanning system which comprises a second light source module and a second camera module. Light spot positions formed on the front surface and the back surface of the wafer by the first light source module and the second light source module are mutually staggered along projection positions on the front surface or the back surface of the wafer, or the projection directions of illumination light emitted by the first light source module and illumination light emitted by the second light source module are different; the first camera module and the second camera module respectively collect front or back images of the wafer to obtain a scanning result, and the analysis module analyzes the scanning result to obtain a detection result. The illumination light spots on the front and back surfaces of the wafer are staggered or the projection directions of the illumination light are different, so that the problem of mutual interference of light beams generated in the synchronous detection process of the front and back surfaces of the wafer is avoided, and the accuracy of the detection result of the front and back surfaces of the wafer is improved.

The invention discloses microelectronic magnetic force detection equipment and a method thereof, and belongs to the technical field of microelectronic magnetic force. The microelectronic magnetic force detection equipment comprises an equipment main body, a locking mechanism, a clamping mechanism and a detection mechanism; the lower portion of the equipment body is connected with the locking mechanism, the upper portion of the equipment body is connected with the clamping mechanism, and the detection mechanism is arranged on the right side of the equipment body. By means of the mode, the function of continuous feeding and discharging is achieved through the clamping mechanism and the locking mechanism, detection continuity is achieved, automatic operation is achieved in the whole process, and the operation stability is achieved while the working efficiency is improved; the detection capability is further expanded by adopting an array form of the atomic magnetometers, multi-angle synchronous detection can be realized after a plurality of atomic magnetometers are combined into an array, and meanwhile, the surface of the chip is cooled by blowing air through the cooling pipes at different angles, so that non-uniform temperature of the magnetic core in the detection process is prevented, and the detection precision is improved. And the stability of magnetic force detection is 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 audio and video synchronous detection method and device, electronic equipment, a program product and a medium, and relates to the field of artificial intelligence. Human voice audio and human face video in a to-be-detected video file can be segmented into audio clips and video clips according to preset clip duration; and time sequence feature extraction can be performed on each audio clip to obtain the audio feature of each audio clip, and time sequence feature extraction can be performed on each video clip to obtain the video feature of each video clip. Then, the feature similarity between each audio clip and each video clip can be calculated, and when it is determined that the target feature similarity between the target audio clip and the target video clip at the same segmentation position is not larger than the feature similarity between the target audio clip and at least one other video clip, the target audio clip and the at least one other video clip can be segmented. And judging that the audio and video of the to-be-detected video file are asynchronous, thereby improving the accuracy of audio and video synchronous detection by means of time sequence feature extraction, feature similarity calculation and feature similarity comparison.

The invention discloses a signal countering intelligent monitoring system of an unmanned aerial vehicle, which relates to the technical field of signal countering and comprises a multi-source acquisition module, a dynamic verification module, a decision analysis module, an intelligent communication module, an integrated radar unit, a spectrum analysis unit, an infrared sensing unit and a sound wave detection unit. Multi-source data fusion is realized through the data association evaluation value, the signal countering effect of the unmanned aerial vehicle is improved through the threat evaluation value R, the hierarchical threat response and the precise matching countering strategy, and when the radar signal intensity normalization value S1 conflicts with the infrared feature matching degree S3, the verification value is calculated according to the voiceprint matching degree S4 and the spectrum matching degree S2, so that the reliability of the unmanned aerial vehicle is improved. Or a standby unmanned aerial vehicle signal recognition system is started for synchronous detection, multi-source data contradiction is solved, the misjudgment rate is reduced, satellite, 5G and Mesh network dynamic switching is achieved, the communication performance of the system is guaranteed through a priority strategy, and the data transmission delay rate is reduced.

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 remote sensing landslide and surrounding building detection method and system based on a VITAEv2-S model, and belongs to the field of image processing. The method comprises the steps that a detection model is constructed, a lightweight segmentation framework is adopted and comprises an encoder and a decoder, the encoder adopts a VITAEv2-S backbone network, multi-scale cavity convolution and a self-attention mechanism are combined, and the detection model is constructed; extracting multi-scale features; the decoder simplifies a U-Net structure, removes a pyramid pooling module, adds a space attention module to focus landslide and building areas, and adds a channel attention module to enhance feature channels corresponding to the landslide and the building; the detection model is trained; and synchronously segmenting the landslide and the building by using the trained detection model. According to the method, a lightweight improvement scheme is provided for a segmentation framework, semantic segmentation precision is improved, computing resource consumption is remarkably reduced, small sample training ability is improved, synchronous detection of landslides and buildings is realized through multi-task learning, and the method is suitable for disaster real-time monitoring scenes.

The invention relates to the technical field of signal demodulation, and discloses an OFDM (Orthogonal Frequency Division Multiplexing) signal demodulation method of a signal analyzer. According to the invention, through joint optimization of a synchronous detection and frequency offset compensation mechanism, the symbol positioning precision in a low signal-to-noise ratio environment is improved, and subcarrier interference caused by a cyclic prefix pseudo peak value and frequency offset phase ambiguity is effectively suppressed; a time-frequency two-dimensional adaptive interpolation strategy is adopted to enhance the robustness of channel estimation to non-uniform pilot frequency distribution and a fast time-varying channel, and data subcarrier response distortion is reduced; in combination with minimum mean square error equalization and dynamic noise reduction processing, inter-symbol interference and a noise accumulation effect are greatly weakened, and the bit error rate performance of a high-noise scene is improved; the error control technology is updated through a closed-loop channel, a demodulation error propagation path is blocked, and cooperative improvement of system demodulation stability and precision in a complex multi-path environment is achieved.

Embodiments of the present disclosure provide a random access method, a device, and a storage medium. The random access method is applied to a terminal device and includes: determining a physical random access channel (PRACH) window or determining a PRACH burst. In the random access method provided in the embodiments of the present disclosure, the terminal device determines the PRACH window or the PRACH burst, to ensure that a time when the terminal device sends a preamble is synchronized with a time when a non-anchor cell is activated. In this way, the preamble sent by the terminal device may be synchronously detected or received after the non-anchor cell is activated. This may reduce activity of the non-anchor cell to periodically detect a PRACH and avoid an excessive random access delay, to achieve network energy saving (NES) and load balancing.

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 relates to the technical field of automatic detection equipment, in particular to a workpiece multi-azimuth automatic visual detection line which comprises a rack, the top of the rack is provided with a conveying belt through a driving device in a transmission mode, supports are arranged on the two sides of the rack, and lifting plates are driven by the inner sides of the supports through vertical guide rails; the outer side of the lifting plate is connected with a movable plate capable of rotating obliquely through a hydraulic push rod, a rotator is installed on the outer side of the movable plate, the outer side of the rotator is connected with a camera detection mechanism through a swing mechanism, and the camera detection mechanism can achieve multi-position horizontal rotation on the rotator through the swing mechanism. According to the multi-azimuth automatic visual inspection line for the workpiece, by arranging the two groups of camera detection mechanisms of which the positions can be independently adjusted, synchronous detection of the workpiece at different angles is realized, and the comprehensiveness, accuracy and flexibility of detection are remarkably improved.

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 relates to the technical field of stainless steel corrugated pipe detection, in particular to a self-propelled internal synchronous detection device applied to a stainless steel corrugated pipeline, which comprises a main shell, an electrically controlled turnover support frame is arranged on the side wall of the main shell in an annular array mode, and an electrically controlled telescopic detection rod is slidably assembled at the central position in the main shell. Electric control type optical detection heads are axially assembled at the two ends of the electric control telescopic detection rod. According to the self-propelled internal synchronous detection device applied to the stainless steel corrugated pipeline, the self-propelled structural design is adopted, driving can be carried out in the stainless steel corrugated pipe, the length of the stainless steel corrugated pipe is not required, and the detectable range of the stainless steel corrugated pipe is greatly widened; and through the design of the electrically-controlled overturning support frame which is electrically controlled to extend, the optical detection module can be always kept at the central position of the corrugated pipe, and the optical detection precision is 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 the technical field of detection devices, and discloses a shaft body parameter rapid detection device, which comprises a coaxiality detection module and a product positioning module, and is characterized in that the coaxiality detection module comprises a displacement driving module I, a sensor mounting frame and a plurality of coaxiality detection sensors, and the coaxiality detection sensors are mounted on the sensor mounting frame; the product positioning module comprises a shaft end positioning body, a head end supporting wheel set, a middle section supporting wheel set, a supporting position adjusting body, a tail end supporting body and a power module. By arranging a plurality of coaxiality detection sensors capable of performing position adjustment, synchronous detection of the coaxiality of multiple parts of a product is realized, the detection efficiency is improved, operations such as frequent clamping and position adjustment are not needed, and the detection precision is ensured; and the length detection module is also arranged in the scheme, so that the length detection of the product can be synchronously completed.

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 present invention discloses an intelligent monitoring system for signal countermeasure of unmanned aerial vehicles, which relates to the technical field of signal countermeasure. The system includes a multi-source acquisition module, a dynamic verification module, a decision analysis module and an intelligent communication module, integrating a radar unit, a spectrum analysis unit, an infrared sensing unit and a sound wave detection unit. Multi-source data fusion is realized through a data association evaluation value, and hierarchical threat response is carried out through a threat evaluation value R to accurately match countermeasure strategies, improving the signal countermeasure effect of unmanned aerial vehicles. When there is a conflict between the radar signal strength normalization value S1 and the infrared feature matching degree S3, a verification value is calculated according to the voiceprint matching degree S4 and the spectrum matching degree S2, or a standby unmanned aerial vehicle signal recognition system is started for synchronous detection to solve the contradiction of multi-source data and reduce the misjudgment rate. The satellite, 5G, and Mesh networks are dynamically switched, and the communication performance of the system is ensured through a priority strategy, reducing the data transmission delay rate.

The invention belongs to the field of gas detection and measurement, and discloses a multi-component gas detection system and method based on vmd self-adaptive frequency division, the system innovatively combines a frequency division multiplexing technology and a variational mode decomposition (VMD) algorithm, and realizes high-precision detection of multi-component gas. A digital signal carrying multi-component gas concentration information is obtained through a data acquisition card, a complex signal is subjected to self-adaptive decomposition by using a VMD algorithm, and a characteristic absorption signal of the multi-component gas is effectively separated. According to the method, the modal parameters of the VMD are iteratively optimized by adopting a k optimization algorithm, the accurate distinguishing of overlapped absorption spectral lines is realized by increasing the modal density, the analysis capability of a dense spectrum is improved, and the interference of interference noise and electronic noise is remarkably reduced. Second harmonic signals are extracted through software demodulation, and gas concentration information is inverted according to the second harmonic signals. Experiments show that compared with a traditional frequency division multiplexing scheme, the method has the advantages that the detection precision is improved, and the method is particularly suitable for synchronous detection of multi-component trace gas under a complex background.