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Workpiece end face defect detection method and system based on deep learning
The application relates to the field of workpiece defect detection, and discloses a workpiece end face defect detection method and system based on deep learning, which comprises the following steps: acquiring an end face image of a machined workpiece, performing image enhancement and region marking on the end face image to obtain an end face enhanced image and an end face marked region, querying abnormal points corresponding to the end face marked region, calculating an image offset of the workpiece end face image in a preset direction, querying an image difference frame corresponding to the workpiece end face image according to the image offset, extracting pixel values of the image difference frame, calculating an image difference value of the workpiece end face image, performing classification detection on the workpiece end face image by using a preset end face detection model to obtain a classification image, identifying a defect region in the classification image, extracting region features, and performing defect detection on the workpiece end face image to obtain a defect detection result of the machined workpiece. The application can improve the detection efficiency of workpiece end face defects.
Owner:SHAANXI QINCHUAN GRINDING MASCH CO LTD
A lamp post slot mounting structure
ActiveCN224284563Ureduce complexitylow costLighting elementsOutdoor lightingMechanical engineeringTroffer
Owner:GUANGDONG YAOXU LIGHTING ENG DESIGN CO LTD +1
A dual channel low voltage ideal diode
PendingCN122225843ARealize seamless switchingThe conduction voltage of the power tube decreasesDc-dc conversionEmergency protective arrangements for limiting excess voltage/current
The present application relates to a kind of double-channel low-voltage ideal diode, including two independent and same structure channel, the power PMOS tube of each channel is integrated, gate drive circuit, current sampling circuit, programmable current limiting circuit, temperature detection circuit and undervoltage lockout circuit.The present application is adjusted by gate drive circuit intelligent degree of power tube conduction, maintain about 15mV ultra-low conduction voltage drop when light load, more than 90% lower than traditional schottky diode power consumption;Through CLIMx external resistance, current limiting value can be flexibly set;With two-stage temperature protection (130 ℃ early warning / 160 ℃ shutdown) and fast reverse current blocking function, seamless switching of main backup power supply can be realized.The present application effectively solves the problems of high power consumption, serious heating, lack of programmable protection and reverse current risk of existing diode scheme, and is especially suitable for unmanned aerial vehicle, aerospace and industrial control in the key load power supply with strict requirements on volume, power consumption and reliability.
Owner:58TH RES INST OF CETC
A type of anti-collision buffer safety fence
ActiveCN121539165Bachieve preliminary lockingSimplified installation stepsClimate change adaptationFencingClassical mechanicsMechanical engineering
This invention relates to the field of fencing technology, specifically disclosing a collision-resistant and buffer-type safety fence, comprising: a fixed pile mechanism, which includes a square hole, a circular hole, a hemispherical groove, a hollow cylindrical tube, and a fixed pile body. Two hollow cylindrical tubes are respectively located on the left and right sides of the top of the fixed pile body. A square hole communicating with the inner cavity of each hollow cylindrical tube is opened in the center of its front side. Circular holes penetrating vertically are opened on both the left and right sides of the bottom of the fixed pile body. Two hemispherical grooves are equidistantly spaced along the circumference at the top of the inner cavity of the fixed pile body. This device is not only easy to install and disassemble, and has excellent buffering performance, but also possesses good environmental adaptability, economy, and reusability. It fundamentally solves the problems of irreversible deformation, difficult maintenance, and inconvenient assembly and disassembly of traditional rigid guardrails, providing an efficient, flexible, and reliable solution for construction safety protection.
Owner:SHENYANG SHENGKE INNOVATION GROUP CO LTD +1
A power system load curve clustering analysis method
The application discloses a power system load curve clustering analysis method, determines the target and requirement of power system load curve clustering analysis, carries out data preprocessing, uses a self-organizing feature mapping neural network to construct a feature extraction model, uses an MAML algorithm to carry out multi-task learning, carries out rapid adjustment through meta learning, applies a Gaussian mixture model to cluster the extracted features, uses indexes to evaluate the clustering effect, carries out clustering result analysis, determines whether the predetermined performance standard is met, and further carries out iterative optimization, so that the self-organizing feature mapping neural network, meta learning and the Gaussian mixture model are combined, and greater value is brought to power system operation and energy management.
Owner:STATE GRID JIANGSU ELECTRIC POWER CO LTD CHANGZHOU BRANCH
Short-circuit current rapid calculation and suppression method and system based on day-ahead production simulation
PendingCN122264178Aachieve deep couplingPrecise tracking of short circuit current levelsDatabase queryingForecastingConcurrent computationAlgorithm
The application discloses a short-circuit current fast calculation and inhibition method and system based on day-ahead production simulation, and the method comprises the following steps: based on load prediction data, power generation prediction data and various production plan curves, a scenario set covering multiple time sections is generated by using a probabilistic method, and power flow distribution is calculated as a multi-scenario production simulation result; through a preset data mapping and conversion rule library, the production simulation result is converted into simulation data files suitable for electromechanical transient simulation software; by using a parallel computing framework, a short-circuit current calculation module of the electromechanical transient simulation software is called in batches, the maximum short-circuit current of each bus and the corresponding time section and scenario are identified; a suppression measure knowledge base is constructed, a candidate suppression measure combination is generated, a multi-objective optimization algorithm is used to optimize, screen and simulate and check the candidate suppression measures under the condition of safety and stability constraints, and an optimal suppression measure scheme is output. The application couples production simulation and transient simulation, and realizes intelligent decision-making.
Owner:STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST
Automatic test system and method and vehicle
PendingCN121879837AReduce development costsReduce maintenance costsRuntime instruction translationFaulty hardware testing methodsTest scriptSoftware engineering
The embodiment of the invention relates to the technical field of automatic testing, and discloses an automatic testing system and method and a vehicle, and the system comprises an upper computer main service module which is used for obtaining a testing script, carrying out the abstract conversion of the testing script, and obtaining a target abstract instruction; the target abstract instruction is a standardized target abstract instruction for describing a test operation type; the access and access control module is used for determining a corresponding virtual device node when the target abstract instruction is received; converting the target abstract instruction into an executable instruction corresponding to the operation equipment through the virtual equipment node; controlling the operation equipment to execute the executable instruction, and receiving a returned execution result; the virtual device node is created based on a device capability description model of the operating device. According to the technical scheme, the test script is converted into the standardized abstract instruction, so that the test script does not need to be modified for different devices or scenes, and cross-device and cross-scene efficient multiplexing is realized.
Owner:AVATR CO LTD
Ex vivo tissue fixation assembly
This utility model discloses an ex vivo tissue fixation component, including an integrally formed fixation component with an arc-shaped end on one side and multiple slots on a straight end on the other side. The slots are arranged in parallel, with one end extending towards the arc-shaped end and the other end penetrating the straight end. The fixation components are sequentially engaged within a sample tube. This utility model provides an ex vivo tissue fixation component that, through its parallel slotted structure, can quickly fix ex vivo tissue in a preset position within a sample tube. This not only ensures the consistency and comparability of scan data from the same group of samples but also allows for the simultaneous processing of multiple samples in a single scan by sequentially engaging multiple fixation components within the sample tube.
Owner:XIAN HONGHUI HOSPITAL
Cross-domain small sample expression recognition method based on consistency of action units
PendingCN122073060AIncreased sensitivityeasy to identifyCharacter and pattern recognitionData setRelationship mining
The invention discloses a cross-domain small sample expression recognition method based on motion unit consistency. The method comprises the following steps: collecting and preprocessing a multi-source basic expression data set and a composite expression data set; enhancing the original facial action unit features, and constructing a hypergraph structure; facial action unit relation graphs of the original facial action unit features and the enhanced facial action unit features are extracted respectively; respectively calculating two groups of attention distributions by adopting double paths based on the facial action unit relation graph, and taking a difference value of the two groups of attention as a contrast attention module; constructing a double-branch collaborative learning network, wherein the double-branch collaborative learning network comprises an airspace information mining branch, a context relation mining branch and a cross-branch feature fusion module; performing joint optimization on the double-branch collaborative learning network through the training set; and performing new expression classification on the query set extracted from the test set by using the trained double-branch collaborative learning network, and calculating the classification accuracy. According to the method, the recognition capability of the model on cross-domain small sample expressions is effectively enhanced.
Owner:XIAMEN UNIV