16828 results about "Printed circuit board" patented technology

The invention relates to the technical field of PCB detection, and discloses a PCB defect detection method and system, and the method comprises the steps: collecting multispectral imaging data through an image collection module, and generating an original image data set; the defect analysis server receives the synchronous imaging data to construct a three-dimensional surface topology matrix; in combination with the original image data set and the real-time imaging data, performing multi-scale decomposition on the three-dimensional surface topological matrix, extracting texture features, positioning a defect region, outputting defect type space distribution features through a layered recognition model, and updating the original image data set; and dynamically calibrating the detection parameters according to the feature categories. The system comprises an image acquisition module group, a data transmission module, a three-dimensional modeling module, a defect identification module and a parameter calibration module. According to the scheme, the accuracy, comprehensiveness and efficiency of defect detection are improved, and the detection requirements of modern PCB production are met.

The invention discloses a PCB intelligent optimization layout wiring method and device, equipment and a storage medium, and relates to the technical field of electronic manufacturing, and the method comprises the steps: obtaining the initial layout of a printed circuit board; on the basis of a first optimization algorithm, automatically adjusting the layout position of the initial layout according to a functional module area and writing design requirements to obtain an adjusted layout; optimizing the heat dissipation structure of the adjusted layout through thermal analysis to obtain a reference layout; and wiring the reference layout based on a second optimization algorithm to complete the layout wiring of the printed circuit board. According to the invention, the layout and wiring efficiency and accuracy of the printed circuit board can be improved.

A light therapy device comprises a flexible casing made with flexible silicone material. A Flexible Printed Circuit Board (FPCB) is installed over a front portion of the flexible casing. The FPCB comprises a plurality of stimulation elements and at least one pair of primary electrodes for therapeutic and recreational purpose. A detachable controller is attached over a back portion of the flexible casing. The controller comprises at least one pair of secondary electrodes, a rechargeable battery, and a user interface. The at least one pair of secondary electrodes engages with the at least one pair of primary electrodes to transmit the power from the rechargeable battery to the FPCB. Further, a flexible diaphanous sheet mounted over the FPCB through which the light therapy is provided to a user.

The invention relates to the technical field of printed circuit board assembly quality detection, and discloses a PCBA anomaly detection method and system based on three-dimensional modeling and AI fusion, and a medium. The method comprises the following steps: acquiring three-dimensional point cloud data of a PCBA board to be detected; generating a reference three-dimensional digital twin model according to a standard PCBA design drawing; carrying out spatial registration on the three-dimensional point cloud data and the reference three-dimensional digital twin model, obtaining the three-dimensional point cloud data, carrying out hierarchical processing on the obtained three-dimensional point cloud data, extracting geometric features of a welding spot region, contour features of an element region and surface features of a substrate region, and carrying out fusion to generate a feature vector group; constructing a generative adversarial model based on a preset semi-supervised learning framework and the normal PCBA sample vector group; and inputting the feature vector group into a generative adversarial model, and examining the abnormal vectors, the corresponding three-dimensional coordinates and the abnormal types in the feature vector group by the generative adversarial model to complete the abnormal detection of the PCBA board. The method is suitable for quality control of a high-density and miniaturized PCBA.

The invention relates to the technical field of printed circuit board manufacturing and quality detection, in particular to a PCB forming detection method based on a hole site scatter diagram and SPC analysis, and the method comprises the steps: collecting the actual hole site data of a PCB substrate through an optical scanner or a laser measurement device, generating a scatter diagram containing coordinates, aperture and tolerance, and carrying out the detection of the hole site scatter diagram; an abnormal region is identified by using an improved density clustering algorithm; performing multi-dimensional analysis on the scatter diagram based on an SPC model, extracting characteristic parameters such as hole site density deviation, constructing a dynamic control limit, and calculating a CPK to judge a processing state; and when the CPK is lower than a threshold value, optimization instructions such as drilling path correction and drill bit wear compensation are generated and fed back to the equipment through the anti-saturation fuzzy PID controller to realize closed-loop control. According to the method, the hole site machining quality can be accurately detected, the machining parameters are adaptively adjusted, and the PCB forming precision and the production stability are effectively improved.

The invention relates to the technical field of laser engraving, and discloses a laser engraving method and system capable of automatically correcting coordinates of a galvanometer and a camera, and the method comprises the following steps: calculating a target conversion coefficient based on a calibration size and a pixel size of an image collected by the camera, and controlling the galvanometer to perform laser etching on a cross mark on the surface of a PCB (Printed Circuit Board), recording origin data of a galvanometer coordinate system; adjusting the position of the camera to enable the cross center of the view of the camera to coincide with the cross mark, and calculating the coordinate offset; coordinate space transformation is carried out on all the points to be machined, and galvanometer marking coordinate data are obtained; after laser engraving is carried out on the galvanometer marking coordinate data, an engraving area image is collected, the position residual error and the size proportion deviation are calculated, laser engraving is carried out again, and a laser engraving result is obtained. The technical problem that the visual positioning coordinate and the galvanometer marking coordinate in the laser engraving system are not consistent is effectively solved.

The invention discloses a printed circuit board defect detection system. The image acquisition module is used for acquiring a multispectral image of a printed circuit board to be detected, and the image preprocessing module is used for denoising, enhancing and normalizing the acquired image. The feature extraction module extracts geometric and spectral information from the preprocessed image, including the shape and layout structure of the circuit. The deep learning module processes the extracted preliminary geometric and spectral information, and the basic network sub-module performs feature extraction through a pre-trained convolutional neural network to generate high-level features. And the self-adaptive adjustment sub-module carries out fine adjustment on the high-level features through defect sample data with labels, and generates specific features for identifying and classifying various defects of the printed circuit board. The defect identification and classification sub-module combines high-level features and specific features to realize accurate detection of short circuit, open circuit, insufficient etching, welding defects and the like. And the visualization module is used for marking the position and the type of the defect and generating a detection report.

A ring for photoplethysmographic (PPG) sensing performs transmissive PPG and / or reflective PPG. In particular, a ring and assembly methods therefor are described including for example connecting a rim to an inner ring via a bonding process, laying a printed circuit board (PCB) on the inner ring, aligning optical sensors of the PCB with ports of the inner ring, providing electrical connections between contact points on the PCB and the rim, and inserting an assembly including the ring, inner ring and PCB into an outer shell.

A new system architecture for servers used in supercomputers uses an on-chip switch fabric with backpressure to improve performance. A server-on-a-chip includes one or more of the on-chip switch fabrics coupling one or more processing cores enabled to respond to the backpressure. Optionally, one or more ports of the on-chip switch fabrics are used to provide (external) ports of the server-on-a-chip to enable seamless communication with other server-on-a-chip instances. Various instances of the server-on-a-chip use the seamless communication to communicate with each other over a single printed circuit board and / or with each other across a plurality of printed circuit boards. Optional smart memory and / or multi-homed memory techniques improve memory efficiency by posting all writes, hiding DRAM maintenance operations (e.g., refresh, scrubbing, error correction and / or error logging), and / or reducing attack vectors, such as via secure booting of encrypted boot images.

The utility model relates to a treble and bass coaxial moving coil loudspeaker horn, which comprises a main body bracket, a front cover, a PCB (Printed Circuit Board), an outer ring horn and an inner ring horn, the main body bracket comprises a shell and an annular partition plate arranged in the shell; a first magnetic circuit cavity is formed between the annular partition plate and the shell; and a second magnetic circuit cavity is formed in the annular partition plate. The main body support is divided into the first magnetic circuit cavity and the second magnetic circuit cavity by arranging the annular partition plate, the outer ring loudspeaker is arranged in the first magnetic circuit cavity, the inner ring loudspeaker is arranged in the second magnetic circuit cavity, namely, the inner ring loudspeaker is arranged in the spare area in the center of the outer ring loudspeaker, and therefore coaxial arrangement of the tweeter and the woofer is achieved. Not only can segmented coverage of an audio frequency band be realized, but also the whole loudspeaker structure can be more compact, and the overall appearance size of the loudspeaker is greatly reduced.

Embodiments of the present invention provide a therapeutic device. The therapeutic device includes a first substructure including a Printed Circuit Board (PCB), a transmitter induction coil electrically coupled to the PCB, and a power source electrically coupled to the transmitter induction coil. The therapeutic device further includes one or more second substructures including one or more of respective stimulation elements and one or more respective receiver induction coils electrically coupled to the one or more respective stimulation elements. The one or more stimulation elements are configured to be facing towards a body portion of a user, when in use. Also, the one or more receiver induction coils are configured to receive power from a magnetic field generated by the transmitter induction coil.

Embodiments of the present invention provide a phototherapy patch and a method of providing phototherapy thereof. The phototherapy patch comprises a shell having a housing for a printed circuit board and a stimulation element, the shell is extended vertical upward in circular form to provide a housing for a battery. The horizontal surface of the shell has a circular opening to accommodate a power button that controls the switching of the stimulation element.

Systems, methods, and articles for a wearable and lightweight portable power case are disclosed. The portable power case is comprised of a cylindrical housing, at least two battery elements connected to a printed circuit board (PCB), and at least one separating barrier between the at least two batteries and the PCB. The portable power case is operable to supply power to an amplifier, a radio, a wearable battery, a mobile phone, a tablet, a portable satellite dish and / or any other power consuming device. The portable power case is operable to be charged using solar panels, vehicle batteries, AC adapters, non-rechargeable batteries, and / or generators.

The invention relates to the technical field of automatic detection, in particular to a multi-station PCBA (printed circuit board assembly) detection method based on machine vision, which comprises the following steps: acquiring a multi-station reference pulse period, dividing a time window, comparing starting time difference, controlling image acquisition to synchronize, locally imaging a PCBA based on a synchronizing signal, extracting temperature response of a welding spot, and constructing a heat conduction path. Mapping to a visible light image, evaluating welding spot symmetry, extracting welding spot hue change, marking abnormal frames, recording defect path nodes, and generating a defect path structure. According to the method, the temperature response coordinate points in the welding spot area are extracted and the heat conduction direction vector path is constructed, so that the welding quality is evaluated more carefully and accurately, the thermal grid chart is mapped to the visible light image frame, the image analysis process is further optimized, the defect detection accuracy is enhanced, and the potential defect area is effectively identified; the efficiency and reliability of PCBA board detection are significantly improved, and powerful technical support is provided for high-quality production.

The invention relates to the technical field of PCBs (printed circuit boards), in particular to an intelligent PCB detection and repair method, which comprises the following steps: S1, initializing module configuration: automatically identifying the type and structure information of a PCB; s2, a dynamic detection stage: collecting electrical parameters of the PCB, and generating fault position information; s3, circuit dynamic characteristic compensation: analyzing the nonlinear distortion characteristic of the circuit, and calculating and executing dynamic compensation; s4, an automatic repair stage: generating a repair scheme, including solder joint repair, line reconstruction or signal compensation; and S5, an intelligent recheck stage: performing comprehensive retest on the repaired PCB, verifying the performance of the repaired area, and generating a repair evaluation report. According to the invention, the repair precision and efficiency are improved, the whole repair process is intelligent and automatic, the risk of manual intervention is reduced, and the overall repair efficiency and the long-term reliability of the PCB circuit are improved.

The invention relates to automatic foam pasting and external line shaping equipment for a PCBA. The automatic foam pasting and external line shaping equipment comprises a rack, a PCBA feeding assembly, a PCBA conveying line, a foam pasting assembly and a line folding assembly. The PCBA feeding assembly comprises a feeding multi-axis mechanical arm and a feeding vacuum suction nozzle. The foam attaching assembly comprises a foam attaching frame, a foam attaching mechanical arm, a foam attaching mechanical clamping jaw and a foam attaching vacuum suction head. The line folding assembly comprises a line folding transfer assembly and a line folding mechanism; the line folding mechanism comprises a line folding frame, a line folding positioning table, a line folding fixed clamping corner air cylinder, a line folding plate and a line folding turnover driving piece, and the line folding turnover driving piece drives the line folding plate to rotate. The foam attaching manipulator of the foam attaching assembly is matched with the PCBA conveying line to achieve automatic foam attaching on the PCBA, and the efficiency is high; according to the line folding mechanism, the pins are automatically bent into the L shape through the overturned line folding plate, the foam is clamped between the pins and the PCBA, and the foam cannot be damaged by interference of the line folding plate in the whole process.

To provide a game machine with further technical improvements. [Solution] The board for controlling the game is provided with a printed circuit board on which multiple electronic components are mounted, the printed circuit board having a multi-layer structure in which one or more insulating layers and one or more conductor layers are stacked, and on the board surface, outside the mounting area in which the multiple electronic components are mounted, there is a peripheral area having a different color from the mounting area due to a stacking structure different from that of the mounting area.

The invention discloses a printed circuit board defect detection method and system based on cross-modal prompt learning and visual guidance, and the method comprises the following steps: obtaining a defect-free PCB image sample, and obtaining a training data set; constructing an initial printed circuit board detection model; training the initial printed circuit board detection model by using the training data set to obtain a printed circuit board detection model; and completing the defect detection of the printed circuit board by using the printed circuit board detection model. According to the method, a synthetic anomaly generation strategy based on a PCB structure and physical prior is provided, a two-channel storage library mechanism is introduced, and a synthetic anomaly sample most valuable for model training is screened out through a difficult case mining strategy, so that visual anomaly mode guidance is provided. According to the method, a double-constraint alignment optimization strategy combining comparison loss and triple loss is adopted, the mapping relation between vision and text features is adjusted, and cross-modal alignment and clear normal / abnormal boundaries are achieved. According to the method provided by the invention, the accuracy, the robustness and the generalization capability of PCB defect detection under the data sparse condition can be remarkably improved.

Systems, methods, and articles for a wearable and lightweight portable power case are disclosed. The portable power case is comprised of a cylindrical housing, at least two battery elements connected to a printed circuit board (PCB), and at least one separating barrier between the at least two batteries and the PCB. The portable power case is operable to supply power to an amplifier, a radio, a wearable battery, a mobile phone, a tablet, a portable satellite dish and / or any other power consuming device. The portable power case is operable to be charged using solar panels, vehicle batteries, AC adapters, non-rechargeable batteries, and / or generators.

Methods, systems, and devices for manufacturing of a wearable ring device are described. The method includes coupling a printed circuit board (PCB) to an inner shell, surrounding the inner shell and the PCB with an outer shell, disposing a first molding plate against a first lateral side of the wearable ring device, and filling at least a portion of a cavity of the wearable ring device with a filler material. The method further includes performing a first curing procedure to form a first molded side cover on the first lateral side of the wearable ring device, where the first curing procedure cures a first portion of the filler material. The method further includes performing a second curing procedure to form a second molded side cover on a second lateral side of the wearable ring device, where the second curing procedure cures a second portion of the filler material.

The invention discloses a printed circuit board defect detection system based on computer vision, relates to the technical field of defect detection, and improves the accuracy of a defect detection process. The method comprises the following steps: stripping a defect ultrasonic signal reflection spectrum from a test ultrasonic reflection signal spectrum, establishing a test three-dimensional circuit board model according to the test ultrasonic reflection signal spectrum, and mapping characteristic defect ultrasonic reflection signal spectrums correspondingly generated at different angles into a three-dimensional coordinate system; a test three-dimensional circuit board model is mapped to the corresponding characteristic defect signal distribution network, so that characteristic reflection signal frequency spectrum identification intervals of different defect types at different positions at different acquisition angles are obtained; and sequentially comparing and matching the target ultrasonic reflection signal spectrum with the corresponding standard ultrasonic reflection signal spectrum and the characteristic reflection signal spectrum identification interval, and further judging the defect position and type of the target printed circuit board.

An electrical propulsion system for a vertical take-off and landing (VTOL) aircraft comprises an electrical motor assembly and an inverter assembly. The inverter assembly comprises a housing, a capacitor assembly, at least one printed circuit board assembly (PCBA), and a plurality of positioning pins. The capacitor assembly comprises a center hole, at least one capacitor, a capacitor housing having at least one busbar, and a plurality of through holes in the capacitor housing. The capacitor assembly and the at least one PCBA are positioned inside the housing. The plurality of positioning pins pass through the through the plurality of through holes of the capacitor housing and the at least one PCBA and are connected to the housing.

The invention relates to the field of anomaly detection, and discloses a PCB (Printed Circuit Board) anomaly detection method, which comprises the following steps of: acquiring a PCB template image and a to-be-detected PCB image; registering and aligning the image of the PCB to be detected with the image of the PCB template; obtaining one or more potential abnormal areas of the to-be-detected PCB image by comparing the edge energy; and comparing the potential abnormal area with a coordinate frame area corresponding to the PCB template image by using a measurement model, and confirming an abnormal state through a comparison result. According to the scheme, PCB abnormity detection can be realized accurately, and when a new PCB and a new component are introduced, only a current PCB normal model needs to be newly added.

The present disclosure relates to a high-precision multilayer PCB and a 3D printing preparation method thereof. The method includes: S1, forming a 3D circuit layer on an upper surface of a substrate; S2, forming a metal pillar at a preset position of the current 3D circuit layer by stacking; S3, forming an insulating layer on an upper surface of the current 3D circuit layer, and leading the corresponding metal pillar out of the formed insulating layer in advance by drilling a hole in the insulating layer and filling the drilled hole with the nanoscale metal slurry; S4, forming a pad layer on an upper surface of the current insulating layer and executing step S5 if the current insulating layer is a top layer; repeatedly executing steps S1 and S2 by using the current insulating layer as a new substrate and executing step S6 if not; S5, connecting the corresponding metal pillar or leading it out in advance and connecting to the pad layer, to complete the preparation of the multilayer PCB; and S6, connecting the corresponding metal pillar or leading it out in advance and connecting to the current 3D circuit layer, and returning to step S3. According to the present disclosure, the high-precision multilayer PCB with high interconnect precision can be prepared.

The invention relates to a multi-mode printed circuit board defect detection method and device based on deep learning and a storage medium, and the method comprises the steps: collecting three-dimensional point cloud data and two-dimensional image data, and carrying out the registration, alignment and preprocessing of the three-dimensional point cloud data and the two-dimensional image data; inputting the three-dimensional point cloud data into a double-view fusion module, mapping to generate an aerial view BV and a front view FV, respectively performing primary feature extraction and interpolation on the aerial view BV and the front view FV, and finally fusing to obtain multi-view fusion feature information; repeatedly inputting the multi-view fusion feature information and the two-dimensional image data into an attention module for multiple times to generate fusion features; and inputting the fusion features into a detection module, and outputting prediction results of defect types and bounding boxes. Through the target detection method based on bidirectional cross-modal feature transmission, the problem that small target defect information on a printed circuit board is easy to lose in the extraction process is solved.

The invention discloses a PCB (printed circuit board) back drilling stub length detection device and method, and belongs to the technical field of PCB detection, the PCB back drilling stub length detection device comprises a broadband light source, the output end of the broadband light source is connected with an optical fiber coupler, and one end, deviating from the broadband light source, of the optical fiber coupler is respectively connected with a first optical fiber collimator and a second optical fiber collimator; the first optical fiber collimator is provided with a lens and a reflector on an optical transmission path; the second optical fiber collimator is provided with a galvanometer on a light transmission path, and a scanning lens is arranged in the light emitting direction of the galvanometer; and the optical fiber coupler is also connected with a spectrograph. On the basis of the low-coherence light interference principle, the PCB back drilling stub length detection device is designed, the output power and the output bandwidth of a broadband light source are correspondingly adjusted, the insertion loss of an optical fiber coupler is controlled, the collection rate of a spectrograph is adjusted, finally, the axial resolution reaches 5 micrometers, the transverse resolution reaches 10 micrometers, and the requirements that the diameter is smaller than 0.1 mm, and the detection precision is larger than 0.1 mm can be met. And detecting the stub length of the deep micropore with the depth of less than 10mm.

A facial irradiation device includes a facial mask including an outer layer, a flexible Printed Circuit Board (PCB) attached to the outer layer, a plurality of irradiation sources attached to the flexible PCB, and an inner layer attached to the flexible PCB and / or the outer layer. Furthermore, the facial irradiation device includes a power source configured to provide electrical power. Also, the facial irradiation device includes a control module comprising a processor and a memory unit operably connected to the processor. The memory unit comprises machine-readable instructions that when executed by the processor, enable the processor to control supply of the electrical power to the plurality of irradiation sources, such that, the plurality of irradiation sources is configured to be operated in a plurality of operating modes.

The invention discloses a micro-fluidic chip device for cell fusion and in-situ sorting. The micro-fluidic chip device comprises a PDMS (Polydimethylsiloxane) micro-fluidic chip, a PCB (Printed Circuit Board) and a patterned gold electrode micro-array layer which are sequentially arranged from top to bottom, the PDMS micro-fluidic chip is provided with a sample inlet, a sample outlet and a collection cavity, and the sample inlet, the sample outlet and the collection cavity are communicated through the experiment cavity; a plurality of independent channels and a capturing cavity connected with the independent channels are arranged in the experiment cavity, and a double-cavity capturing structure is arranged at an inlet of the capturing cavity; and an independent microelectrode matched with the double-cavity capture structure is arranged on the patterned gold electrode microarray. The independent microelectrodes on the patterned gold electrode microarray layer are matched with the double-cavity capture structure, so that cell capture, cell electrofusion and cell in-situ release can be realized in the same chip, and cells in the double-cavity capture structure can be controlled more accurately.

The invention relates to the technical field of image recognition, in particular to a printed circuit board defect detection method and system based on image recognition. The method comprises the following steps: obtaining a printed circuit board image set and enhancing the printed circuit board image set to obtain a printed circuit board enhanced image set; obtaining circuit board image shooting environment data, and performing identification according to the circuit board image shooting environment data to obtain a circuit board material region image set; performing solder overflow detection according to the circuit board material area image set to obtain a solder overflow area image set; and performing heat dissipation defect detection on the circuit board material compensation image set according to the solder overflow area image set so as to obtain a heat dissipation defect image set, and performing heat dissipation defect feature integration on the heat dissipation defect image set so as to obtain heat dissipation defect feature data. The circuit board defect detection efficiency can be improved.

The invention discloses a roadway deformation monitoring device based on a millimeter wave radar. The roadway deformation monitoring device comprises a main shell, the millimeter wave radar, a laser sensor, a PCBA (Printed Circuit Board Assembly) and a bubble level, and an integrated multi-modal data fusion analysis module, a dynamic measurement range intelligent adjustment module, a real-time deformation prediction and control module and a self-calibration and fault diagnosis module. The multi-modal fusion system fuses radar and laser data through a Kalman filtering algorithm, and full-scale high-precision monitoring is realized by using median filtering, Gaussian fitting preprocessing and dynamic weight distribution; the dynamic range measurement module intelligently switches measurement and frequency sweeping ranges based on a decision tree algorithm according to mining progress, geological conditions and distance fluctuation coefficients; the real-time prediction module adopts an ARIMA model to predict the deformation in advance, and automatically adjusts the scanning angle and the acquisition frequency; the self-calibration module uses a high-precision reflecting plate to correct errors everyday; the system supports 5G communication and remote control, has the advantages of high precision, self-adaption and high reliability, and is suitable for long-term deformation monitoring of mine roadways.