56 results about "Parallel detection" patented technology

This invention provides a method and apparatus for identifying raw wireless signal targets based on model fusion decision-making, relating to the field of intelligent signal sensing technology. The method involves inputting raw wireless signal data into the signal sensing and preprocessing layer of a signal target identification model to obtain dimensional representation information output by the signal sensing and preprocessing layer. Each signal representation data in the dimensional representation information is then input into the parallel detection and feature extraction layer of the signal target identification model to obtain structured detection evidence corresponding to each signal representation data output by the parallel detection and feature extraction layer. All structured detection evidence is then input into the intelligent fusion and decision-making layer of the signal target identification model to obtain the fusion decision result output by the intelligent fusion and decision-making layer. Finally, the fusion decision result is input into the result output layer of the signal target identification model to obtain the target identification result of the raw wireless signal data output by the result output layer. The technical solution of this invention improves the accuracy of signal identification.

The application discloses a one-way valve component missing loading detection system and method, and relates to the technical field of visual detection.The system comprises an image acquisition and positioning end, an angle and posture correction end and a hierarchical comparison and detection end.The image acquisition and positioning end acquires a component area image of a to-be-detected one-way valve, and preliminarily positions the image with a pre-stored qualified product image.The angle and posture correction end corrects the to-be-detected image to the same detection posture as the template image by calculating the rotational deviation of the to-be-detected image and the template image and the affine transformation technology.The hierarchical comparison and detection end divides the corrected image into a plurality of component corresponding areas, calculates the feature difference of each area, and judges whether there is missing loading.The application can eliminate light interference through image quality adaptive enhancement, overcome position deviation through posture correction, realize multi-component parallel detection through hierarchical comparison and detection, improve the precision and robustness of missing loading detection, and support online switching detection of different models of products.

This application relates to the technical field of grain processing quality inspection, and in particular to a grain quality infrared image recognition equipment, which includes a housing with a turntable rotatably mounted inside the housing. A drive source is provided between the turntable and the housing, and multiple storage cylinders are arranged on the turntable. This utility model, through the annular layout design of the turntable carrying multiple storage cylinders, combined with the rotation control of the drive source, can realize multi-channel parallel detection of grain samples. When one storage cylinder is under the infrared detector for detection, other storage cylinders can simultaneously complete operations such as feeding, unloading, or vibrating and spreading, avoiding the "intermittent detection" drawback of traditional single-channel equipment. At the same time, the two discharge pipes, combined with the eccentric setting of the electric telescopic rod, can automatically switch the opening and closing state of the baffle according to the detection results, realizing dynamic sorting of qualified and unqualified grains without manual intervention, significantly improving the detection and sorting efficiency in large-scale grain processing scenarios.

This application discloses a method, medium, and device for fusion of 6D point cloud data based on radar and vision. The method includes the following steps: distortion correction of the vision camera and initial alignment of the radar coordinate system and the vision coordinate system; pitch angle back projection of the original 3D point cloud of the radar based on the pitch angle of the vision camera; matching and fusing the 2D projected points with the pixels in the vision image to construct 6D point cloud data; constructing a global multimodal feature map based on the obtained 6D point cloud data; and inputting the global multimodal feature map into multiple parallel detection heads to perform parallel perception and construct a global environmental information matrix. The medium and device are used to execute the above method. The beneficial effects of this application are: by constructing 6D point cloud data, deep fusion of radar geometry and visual RGB features is achieved, compensating for the defects of single-modal perception; and the accuracy of radar-vision feature binding is improved based on pitch angle projection and proximity matching.

This invention discloses a method and apparatus for automatically checking financial operation reports. The method includes: collecting raw financial operation-related data from multiple data sources through a data integration interface; applying a deep learning-based financial semantic understanding model to perform entity recognition and relation extraction on unstructured text data in the raw data, outputting structured financial knowledge triples; calculating various financial indicators based on the structured data and financial knowledge triples, and constructing a financial indicator knowledge graph; applying multiple anomaly detection mechanisms to the financial indicators in parallel; weighting and fusing the initial anomaly scores from each detection mechanism, and outputting a final anomaly determination result based on the fusion result; and automatically generating a financial operation report containing data charts and textual interpretations based on the financial indicators and the final anomaly determination result using natural language generation technology.

This invention relates to the field of optical detection technology, specifically a multifocal parallel phase extraction and alignment system based on a spatial light modulator, comprising: a wavefront modulation module, a parallel detection module, an information extraction module, a parameter calculation module, and a correction and execution module. The wavefront modulation module loads a phase modulation pattern through a spatial light modulator, generating a complex wavefront containing multiple diffraction orders via the objective lens, forming multiple spatially separated detection focal spots on the sample surface. The parallel detection module receives the reflected light signals from each focal spot in parallel through an array detector. The information extraction module analyzes the signals and extracts the phase offset of each focal spot, constructing a mapping set between position and phase offset. The parameter calculation module calculates the tilt angle and field curvature distribution parameters based on this set. The correction and execution module generates a comprehensive correction signal to drive the objective lens or sample stage to perform multidimensional attitude adjustments. This system achieves multifocal parallel detection and synchronous parameter calculation, improving alignment efficiency and accuracy.

This disclosure provides a method for detecting an analyte in a sample, wherein the sample is introduced into an analytical chamber along with emulsion droplets or gel beads. In another aspect, this disclosure provides designs for formulating emulsion droplets or gel beads such that they can be used for the large-scale parallel detection of analytes. Formulations containing specific combinations of fluorescent particles allow for the optical determination of the identity of each fluorescent particle. These combinations are based on the particle fluorescence emission wavelength, fluorescence excitation wavelength, and particle count.

This invention specifically relates to a large dynamic range logarithmic detector, comprising multiple parallel detection branches and an adder that sums the detection results from the multiple branches. The detection branches use square-law detectors to detect multiple segments of radio frequency energy with different dynamic ranges, reducing the design complexity of a single square-law detector. A limiting voltage follower is used to restrict the envelope voltage output by the square-law detector to a specific voltage amplitude range. A DC logarithmic amplifier amplifies the limited envelope voltage output by the limiting voltage follower according to the logarithmic law. The adder concatenates the voltage signals output from the multiple logarithmic amplifiers in the voltage domain and outputs a video logarithmic detection voltage signal. The advantages of this invention are that it significantly expands the dynamic range of the logarithmic detector, improves the signal-to-noise ratio of the detection circuit, and simultaneously reduces the design complexity of the internal circuitry.

The application discloses a kind of multispectral laser imaging radar systems based on APD array and supercontinuum laser, wavelength covering 450~2400nm supercontinuum laser is used as light source, the continuous laser output is collimated after being collimated by laser collimating system, multi-band fast selection is realized by acousto-optic tunable filter, and uniform emission is completed in combination with variable-focus laser emission optical system;Then, large field of view receiving optical system is constructed, and the echo signal is detected by APD array detector to realize multi-pixel parallel detection, the echo intensity data corresponding to different wavelengths are acquired, and the multispectral reflection information of target is formed.Finally, the laser emission time and APD array receiving time are accurately synchronized, based on time-of-flight ranging principle, the high-precision space-time information of target point cloud data and multispectral information is synchronously acquired.The application realizes the high spectral information acquisition accuracy while breaking through the efficiency and resolution limit of traditional single-point imaging mode.

This invention discloses a method for screening catalysts for the oxygen evolution reaction based on electrochemiluminescence quenching. The catalyst to be tested is loaded onto the working electrode, and then Ru(bpy)3 is added. 2+ In the electrolyte of / Hepes, applying an anodic potential to excite ECL accelerates the OER to generate O2, and O2 quenches the ECL signal. The signal intensity is negatively correlated with the catalytic activity. This method can be used for parallel detection on a single-electrode imaging array, achieving high throughput, visualization, and quantitative screening. It is applicable to various OER catalysts such as polyoxometalates and oxides, and has the advantages of being fast, low-cost, and easy to operate.

The utility model relates to radio frequency circuit test technical field, more particularly to a kind of modular radio frequency detection equipment, comprising: host computer, host computer is provided with main control unit and addressing routing circuit in it;At least one slave, slave and the addressing routing circuit of host computer are connected through first communication bus;Host computer, host computer and the addressing routing circuit of host computer are connected through second communication bus;Wherein, addressing routing circuit includes: first data port, is connected to second communication bus;Second data port, is connected to first communication bus;And third data port, is connected to main control unit;Addressing routing circuit is embedded with the gate circuit for the address information in the data packet input according to first data port, and the physical data transmission path between first, second and third data port is conducted through.This utility model is through the configuration switching and parallel communication structure of hardware, realizes quick change type and high-throughput parallel detection.

The utility model discloses a kind of multi-station equipment parallel detection frame, it is related to part detection frame field, this kind of multi-station equipment parallel detection frame includes machine table, the top surface of machine table is rotatably installed with station turntable, station turntable is driven rotation by rotating device installed in machine table, the top surface of station turntable is fixed with four first servo motors at equal-angle interval;This kind of multi-station equipment parallel detection frame in the process of station turntable rotation drives metal parts feeding, detection and discharging, can utilize clean felt to the end surface of part to carry out automatic cleaning work, ensure when visual inspection, the cleanliness of part end surface, avoid stain to cause influence to detection result, and cleaning process is fully automated, without manual participation, cleaning efficiency is higher, cleaning effect is more stable, greatly save manpower cost.

The application discloses a kind of for white body welding line's glue quality visual detection method and system, it is related to industrial vision detection technical field, including, after white body enters welding detection station, obtain station ID, serial number and white body model, establish PLC session and load expected camera set, receive the image of glue area that multi-camera acquisition and update arrived camera set, when arrived camera set covers expected camera set and does not time out, determine effective camera and trigger controlled parallel detection;In controlled parallel detection, the image of glue area of each effective camera is carried out brightness, contrast, definition and noise self-evaluation, and generates image quality self-evaluation result.The application is realized by PLC session, expected camera set and arrived camera set that the collection control of multi-camera acquisition and detection trigger is triggered, reduces the problem that image and determination result do not match.

This invention belongs to the field of large-scale artificial intelligence model security risk control, and discloses a hierarchical risk detection method and system for generating model outputs on a large scale. The method includes receiving candidate outputs and context, extracting multi-dimensional structured feature sets, performing multi-dimensional risk detection through a parallel detector cluster, mapping the results to risk levels and normalizing them, weighted aggregation to obtain the overall risk representation value and level contribution ratio, and determining the execution action based on this in conjunction with policy rules. Parameters can also be dynamically optimized based on manual review feedback. The system includes modules such as input processing, feature extraction, and a parallel detector cluster, realizing a closed loop of detection, decision-making, feedback, and optimization. This invention achieves unified quantification of multi-dimensional risks, improves detection accuracy, ensures traceability of risk sources, adapts to highly compliant scenarios, and features a modular and configurable architecture that supports flexible deployment in multiple scenarios. It effectively solves the pain points of traditional risk control solutions, such as high false positive and false negative rates and lack of adaptive capabilities.

The application relates to the technical field of radar detection, and particularly discloses a harmonic radar multi-target parallel detection method and system, which comprises the following steps: through a receiver of a harmonic radar, superimposing echo signals reflected by multiple targets to form aliasing echo data in a preset detection period, and performing time-domain windowing and framing on the aliasing echo data to obtain time-domain echo frames; taking characteristic parameters of the time-domain echo frames as separation basis, performing blind source demixing on the aliasing echo data to obtain single-target echo signals; performing harmonic component analysis on the single-target echo signals to obtain harmonic characteristic vectors; associating and matching the harmonic characteristic vectors with preset detection space domain division information to determine detection wave positions corresponding to the harmonic characteristic vectors; synchronously calculating spatial position parameters of multiple targets relative to the harmonic radar to generate a multi-target parallel detection result; and the application can improve the multi-target parallel detection efficiency of the harmonic radar.

This invention discloses a system and method for detecting the full-aperture surface shape of a freeform surface mirror, belonging to the field of laser measurement technology. The system first maps a generated broadband coherent pulse from the frequency domain to the time domain to obtain a time-domain wavelength-coded pulse. Then, it maps the time-domain wavelength-coded pulse from the time domain to the spatial domain to form a two-dimensional array detection beam. This method is simple to operate and enables rapid encoding and conversion of optical signals. Using a detection module, the two-dimensional array detection beam illuminates multiple sub-apertures in the measurement sub-aperture region of the freeform surface mirror under test. The reflected light obtains measurement optical signals carrying the mirror parameters of the corresponding sub-apertures. This method can dynamically measure multiple sub-apertures. Finally, the surface shape data of the multiple measurement sub-apertures are stitched together and reconstructed to achieve rapid parallel detection of multiple spatial positions on the freeform surface, significantly improving detection efficiency.

The present application relates to relay detection technical field, relay electric performance test method is related to, including the following steps, first, build cycle transfer station, set up rectangular cycle sliding slot in rack, realize the cycle step transfer of relay through the driving bearing table of push cylinder, complete feeding positioning in turn, fix relay through the positioning structure of bearing table, then carry out multi-project parallel detection, three detection units are independent parallel operation, adapt to the time length difference of different detection projects, then complete automatic sorting, finally, according to the unqualified project of defective product, drive the storage translation assembly to move the corresponding storage box to the material guide sliding slot discharge port, realize the classification of defective product storage.The present application realizes full-process automation, reduces labor cost, avoids manual detection error, ensures process beat matching, improves operation continuity and stability.

The application discloses a kind of super-resolution imaging method and device based on quantum correlation photon parallel collection, the present application uses optical beam splitter to divide the fluorescence detected in microscope into two beams again into parallel detection system, two-way parallel detection can realize more efficient collection to fluorescence correlation photon pair after correction alignment, to reach better image quality.Compared with single parallel detection light path, the present application is used in quantum dot and solid defect with single-photon source characteristics;The present application can realize resolution improvement without improving laser power by using simple beam splitting second-order correlation measurement.Compared with existing quantum correlation imaging technology, the two-way parallel collection mode designed in the present application can perform coincidence measurement in space-time, and more coincidence photon information is retained, the imaging time is shortened, which can be applied in different super-resolution light paths, and the application range of quantum correlation photon detection technology is widened.

The application discloses a kind of based on dynamic threshold and double monitoring strategy fault detection method and system, it is related to the field of fault detection, specific steps are as follows: based on historical process monitoring data, build comprehensive detection index and initial threshold;Initial threshold is adaptively dynamically updated based on dynamic threshold real-time updating mechanism, generate the first threshold for abnormality determination;According to the abnormality cumulative statistics of comprehensive detection index, and set the second threshold for abnormality determination;Acquire the process monitoring data to be processed, and calculate the comprehensive detection index of current time, in the retrieval path of pre-construction, according to the first threshold and the second threshold parallel detection is carried out, and abnormality determination result is obtained.The application is adjusted mechanism based on dynamic threshold and double monitoring strategy, under the condition that without additional prior knowledge and complex model reconstruction, multiple working conditions, multiple fault type industrial process is efficiently and accurately detected.

This invention relates to the fields of microfluidic chip technology and molecular diagnostic technology, and discloses a self-driven digital microfluidic chip and its application in digital recombinase polymerase amplification. The chip comprises two layers: an upper PDMS sheet and a lower glass plate. The lower surface of the upper PDMS sheet is etched with a microfluidic channel structure, including a sample loading port, a droplet reactor array, microchannels, and a pump chamber. The upper and lower layers are thermally bonded to form a sealed flow channel. Based on the gas permeability of PDMS material, this invention achieves self-driven sample introduction and digital dispensing by pre-degassing to create negative pressure, eliminating the need for any external equipment. The chip structure of this invention is rationally designed, with a simple preparation process, low cost, and convenient operation. It can automatically complete sample digitization within 5-10 minutes, supports multi-channel parallel detection, is highly compatible with RPA reaction systems, and can achieve absolute quantitative analysis of target nucleic acids. It has advantages such as high detection sensitivity, accurate quantification, and good repeatability, and has broad application prospects in the field of molecular diagnostics.

This application provides a construction waste detection method and system based on YOLOv11 and wavelet convolution, relating to the field of computer vision. The method includes: constructing a target detection model; inputting acquired construction waste images into the Backbone layer to extract multi-scale features and generate a first feature map; inputting the first feature map into the Neck layer, fusing first feature maps of different depths to capture and enhance feature information at different frequencies, dynamically learning channel and spatial attention weights, and generating a second feature map for target detection of construction waste through the Head layer. This application embeds wavelet convolution modules and CBAM attention modules into the Backbone and Neck layers of YOLOv11 to enhance high-frequency details and cross-scale feature interaction capabilities. Through multi-resolution analysis and parallel detection heads, it can improve the detection accuracy of construction waste in complex scenes.

This invention discloses a photodetector system and method based on pixelated nano-opto-electro-mechanical programmable gratings. The detector includes an input waveguide, a pixelated nano-opto-electro-mechanical grating array optically coupled to the input waveguide, an output waveguide network, and at least one photodetector unit. The pixelated nano-opto-electro-mechanical grating array consists of multiple grating pixel units discretely arranged along the light propagation direction. Each grating pixel unit has an electrically drivable micro / nano-levitation structure and an electrode structure. By applying a driving voltage, electromechanical displacement is generated, thereby modulating the coupling strength and / or phase response between the pixel unit and the waveguide, thus achieving spectrally selective coupling, transmission suppression, splitting, or shaping of the incident light. The output waveguide network couples the spectrally shaped optical signal to the detector array to achieve multi-channel parallel detection. This scheme has the advantages of being ultra-compact, low-power, programmable, arrayable, and easy to integrate on-chip, making it suitable for applications such as communication monitoring and multispectral imaging.

This invention relates to the field of radar detection technology, specifically disclosing a method and system for parallel multi-target detection using harmonic radar. The method includes: using a receiver of the harmonic radar, superimposing echo signals reflected from multiple targets within a preset detection period to form aliased echo data, and performing time-domain windowing and framing on the aliased echo data to obtain time-domain echo frames; using the characteristic parameters of the time-domain echo frames as a separation criterion, performing blind source demixing on the aliased echo data to obtain single-target echo signals; performing harmonic component analysis on the single-target echo signals to obtain harmonic feature vectors; associating and matching the harmonic feature vectors with preset detection spatial domain division information to determine the detection wave position corresponding to the harmonic feature vectors; and simultaneously calculating the spatial position parameters of multiple targets relative to the harmonic radar to generate parallel multi-target detection results. This invention can improve the efficiency of parallel multi-target detection using harmonic radar.

This utility model discloses an automatic elevator guide rail wear detection device, belonging to the field of mechanical engineering technology. It includes an operating table with four anti-slip support pads fixedly connected to its bottom, a controller fixedly connected to its top, a display screen fixedly connected to the controller's surface, and four pillars fixedly connected to the top of the operating table. This utility model, by incorporating an electric push rod, can drive a displacement sensor closer to the elevator guide rail and a cleaning scraper to adhere to the detection surface of the elevator guide rail. The position can be precisely adjusted according to the specific dimensions, improving the flexibility and practicality of the detection device. Before detection, a drive motor and a bidirectional threaded screw can drive the cleaning scraper to remove impurities from the surface of the elevator guide rail, avoiding affecting the accuracy of the displacement sensor's detection of the elevator guide rail. During detection, two adjusting screw rings can drive two sets of detection combination plates in opposite directions to perform parallel detection, significantly improving efficiency compared to single-line detection.

The application discloses a gold film-space engineering array integrated microfluidic chip and a preparation method and application thereof, and belongs to the technical field of microfluidic detection, and comprises a microfluidic channel, wherein the microfluidic channel comprises a sample inlet area, a detection area and a sample outlet area, the detection area is provided with a plurality of parallel detection chips; the detection chip is a gold film-space engineering arrayed SERS substrate which is modified with probe molecules; the gold film-space engineering arrayed SERS substrate comprises a polystyrene compound eye array structure layer, a nano-gold film layer and a nano-gold ball layer which are arranged from bottom to top; the polystyrene compound eye array structure layer is a monolayer film which is composed of polystyrene microspheres, and a plurality of non-overlapping pits are distributed on each polystyrene microsphere. The gold film-space engineering array integrated microfluidic chip can significantly improve the efficiency and sensitivity of analysis and detection.

The application discloses a full-view multi-task complex defect high-speed intelligent detection method and related equipment, and relates to the technical field of image processing, and particularly relates to a full-view multi-task complex defect high-speed intelligent detection method and related equipment. The method comprises the following steps: synchronously collecting a plurality of surface images of an industrial product to be detected in a circumferential direction; for each surface image, image positioning and geometric correction are performed to obtain a corresponding standard view detection image; each standard view detection image is input in parallel to a rule-based traditional image processing detection channel and a data-driven deep learning detection channel; wherein the traditional image processing detection channel performs defect recognition and quantification based on a preset image processing algorithm; the deep learning detection channel performs defect recognition and classification based on a neural network model; the recognition results from the traditional image processing detection channel and the deep learning detection channel are fused, and a final defect judgment is output according to a preset decision rule. Through the fusion of the traditional and deep learning dual-channel parallel detection, high-precision recognition of complex defects is realized.

This invention proposes a single-tube detection reagent for eight target nucleic acids, primer and probe compositions, and their applications, belonging to the field of genetic engineering technology. The eight-target nucleic acid detection kit (fluorescent PCR method) for influenza A virus, influenza B virus, novel coronavirus N gene, novel coronavirus O gene, norovirus GI type, norovirus GII type, respiratory syncytial virus, and capsicum mottle virus described in this invention can simultaneously detect eight pathogen targets: influenza A virus, influenza B virus, novel coronavirus N gene, novel coronavirus O gene, norovirus GI type, norovirus GII type, respiratory syncytial virus, and capsicum mottle virus. Parallel detection of eight pathogen targets can be achieved through a single-tube reaction, reducing the time wasted due to incorrect reagent selection caused by target misidentification, and reducing the consumption of consumables and instrument space required by existing multi-tube reactions. This provides efficient detection technology support for the rapid identification of pathogens in wastewater or the environment.

This application provides a surgical navigation method and related apparatus based on nine lineages of peritoneal projection landmarks and constraints from an anatomical knowledge graph. The method includes: S1. acquiring real-time intracavitary images and nine lineage definitions; S2. performing parallel detection of the nine lineages of peritoneal projection landmarks on the intracavitary images to obtain a set of detection results for the nine lineages; S3. querying an anatomical semantic label mapping table to generate a candidate set of anatomical semantic labels; S4. performing constraint verification based on the anatomical knowledge graph; S5. obtaining the final output confidence score based on multi-source confidence fusion; S6. outputting the anatomical semantic labels and evidence chain in a traceable, structured output format. This application also provides related apparatus.