32results about How to "Realize accurate detection" patented technology

The invention belongs to the technical field of image processing, and discloses a nut flaw detection method and system based on image processing, and the method comprises the steps: positioning an internal thread effective detection region based on an internal thread region image of a to-be-detected nut; converting the area from a Cartesian coordinate system to a polar coordinate system, and generating a polar coordinate expanded image; extracting thread feature positions in the angular direction, and constructing a thread phase sequence; calculating adjacent phase differences and comparing the adjacent phase differences with an allowable range of a thread phase continuity reference model established based on qualified samples; and when adjacent phase differences of a plurality of continuous angular positions exceed an allowable range, determining that flaws exist. The method focuses on the phase continuity of a thread periodic structure, can accurately identify hidden defects which are qualified in size but failed in assembly, is high in anti-interference capability, is adaptive to a high-speed online detection scene, and effectively improves the nut detection precision and reliability.

This invention discloses an online inspection device and method for the light conversion film of photovoltaic modules. The online inspection device includes a conveyor roller, an inspection cover, multiple top excitation light source units, multiple top signal acquisition units, multiple edge excitation light source units, multiple edge signal acquisition units, and a processing unit. The conveyor roller is used to transport photovoltaic modules along a first horizontal direction; the inspection cover has an openable and closable inlet / outlet on its side wall along the first horizontal direction; the top excitation light source units and top signal acquisition units are both located on the top inner wall of the inspection cover and are used to project a first wavelength of light onto the photovoltaic modules inside the inspection cover; the edge excitation light source units and edge signal acquisition units are both located on the inner side wall of the inspection cover along a second horizontal direction and are used to collect the second wavelength of light projected by the photovoltaic modules inside the inspection cover. This online inspection device achieves accurate inspection of non-transparent photovoltaic modules without blind spots, breaking through the dependence of traditional through-type inspection on transparent photovoltaic modules.

This utility model belongs to the field of automated production line equipment, and particularly relates to a branch track merging system for a traditional Chinese medicine outer packaging production line. It includes: two independent conveyor belts, one merged conveyor belt, a linear motion mechanism, a vertically moving cylinder, a gripping stop, and two material detection photoelectric sensors. The two independent conveyor belts transport medicine boxes to be merged; the merged conveyor belt receives and transports the merged medicine boxes; the gripping stop is used to grasp and release the medicine boxes; the two material detection photoelectric sensors are respectively installed at the ends of the two independent conveyor belts to detect the presence of medicine boxes. This branch track merging system for traditional Chinese medicine outer packaging production line can achieve precise detection, pushing, and merging operations of paper boxes. The system can automatically complete the merging of branch tracks according to set parameters such as quantity, delay time, and speed, reducing paper box damage, improving production efficiency, and reducing production costs.

This invention provides a field-effect transistor (FET) type electronic nose, its fabrication method, and a gas identification method, comprising a sensor array consisting of multiple sensing units. Each sensing unit includes, from bottom to top, a back gate electrode, a dielectric layer, a two-dimensional material layer, and an organic semiconductor layer. An active electrode and a drain electrode are respectively disposed on both sides of the two-dimensional material layer. The organic semiconductor layers of different sensing units are made of the same material but have different thicknesses. By using the same material to form the same structure for each sensing unit, not only is the manufacturing process and cost reduced, but the device stability is also effectively improved. Simultaneously, by varying the thickness of the organic semiconductor layer in each sensing unit, the differential response characteristics of different thicknesses of the organic semiconductor layer to different gases are utilized to achieve accurate detection of different gases. This solves the problem of reducing manufacturing difficulty and improving stability while maintaining the sensitivity of the electronic nose.

The application discloses a downhole instrument creep detection method based on multi-source sensor fusion and relates to the technical field of oil and gas well engineering, which comprises the following steps: obtaining sensor data of a target instrument in a target downhole preset period and preprocessing the sensor data to obtain preprocessed sensor data; performing magnetic interference detection based on the preprocessed sensor data to obtain a first detection result; performing multi-source joint likelihood ratio test based on the first detection result and the preprocessed sensor data to obtain a second detection result; when the second detection result meets the requirements, performing accelerometer variance detection and fiber-optic gyroscope output energy detection based on the preprocessed sensor data to obtain a third detection result; when the third detection result meets the requirements, constructing a long-period observation window and obtaining a second variance based on the preprocessed sensor data; and determining a creep termination time based on the second variance and the long-period observation window. The application realizes sensitive capture of small creep movement of a downhole instrument and further obtains an accurate creep time of the downhole instrument.

The utility model discloses a kind of support leg telescopic detection mechanism and aerial work vehicle, it is related to engineering vehicle technical field, to solve the problem that current technical means cannot accurately determine whether support leg is in extended state or retracted state, the detection mechanism is used to set on the oil cylinder of driving support leg telescopic, comprising: movable rod, movable by limiting piece is in oil cylinder, the moving direction of movable rod is consistent with the telescopic direction of the piston rod of oil cylinder, and the end of movable rod is connected with the extended end of piston rod by cross byte;Detection component is located in movable rod;Sensor is located on limiting piece, and sensor is used for real-time detection position change of detection component;So set, the telescopic state of support leg can be accurately detected, improve the safety of aerial work platform, ensure that movable rod and piston rod always maintain parallel state, ensure that detection mechanism can normally work under various working conditions, enhance the adaptability and reliability of equipment.

The application discloses a parking space detection method and related device, and relates to the technical field of intelligent driving, and comprises the following steps: acquiring a to-be-detected parking space image, generating a bird's-eye view feature map according to the to-be-detected parking space image, initializing semantic identities and initial position representations of a plurality of contour points by using a learnable query vector, sampling local features in the bird's-eye view feature map based on the initial position representations, interacting the local features with the query vector, generating corrected position representations of the plurality of contour points according to the query vector updated in the interaction process, returning the corrected position representations to the step of sampling the local features as the initial position representations, and until a preset iteration termination condition is met, taking the semantic identities and the last iterated corrected position representations of the plurality of contour points as a parking space detection result of the to-be-detected parking space. The application models a parking space edge as a plurality of contour points, and corrects position representations of the plurality of contour points through an iteration process, thereby realizing high-precision modeling of an arbitrary-morphology parking space.

The invention relates to the technical field of locks, in particular to a double-movable shifting shaft assembly of a motor lock body. The double-active shifting shaft assembly of the motor lock body comprises a shifting shaft which is used for rotating under the action of external force and is provided with at least one first driving structure; the unlocking structure is arranged on the shifting shaft in a sleeving mode so as to be in running fit with the shifting shaft, the unlocking structure is provided with at least one matching part, and the shifting shaft rotates under the action of external force, so that the first driving structure is connected with the matching parts, and the unlocking structure is driven to rotate to conduct mechanical unlocking action; and the second driving structure is connected with the motor, and the second driving structure is used for driving the unlocking structure to perform motor unlocking action. During mechanical unlocking, a clutch mechanism does not need to be disengaged by a motor speed reducer, the unlocking structure can be driven to rotate by directly shifting the shifting shaft, the unlocking action is completed, the lock body structure is greatly simplified, the manufacturing cost is reduced, meanwhile, the stability and reliability of the lock are improved, and the failure rate is reduced.

The utility model discloses a high accuracy detection equipment with feeding mechanism, including base and detection seat, the top of base is fixed with detection seat, one side of detection seat is provided with the stand, the middle part welding of stand has a plurality of layers of partition board, the top of partition board places the raw board. This high accuracy detection equipment with feeding mechanism drives first screw rod to rotate through first motor, drives first sliding block to move along first sliding slot transversely, realizes the positioning of feeding mechanism in horizontal direction, drives second sliding block to move along second sliding slot vertically through the rotation of second screw rod driven by second motor, realizes accurate material taking and material discharging of feeding plate in vertical direction in combination with the telescopic action of electric telescopic link, can take out raw board from the partition board of stand automatically, and accurate conveying to detection seat carries out high accuracy detection, significantly improves detection efficiency and automation level, reduces manual intervention error.

This application relates to the technical field of bus communication technology, and in particular to a communication anomaly detection and self-recovery method in CANFD single-transmission mode. The method includes acquiring the buffer occupancy rate and error status of the CANFD controller's transmit FIFO; determining a communication anomaly state when the buffer occupancy rate reaches a preset full-load threshold for a preset time window, or when an ACK error is detected in the error status; switching the data transmission cycle from a preset communication cycle to a test cycle longer than the preset communication cycle, and sending test data frames to the CANFD bus according to the test cycle; and when a successful ACK response is detected for the test data frame, releasing the application layer protection lock and resuming writing service data to the transmit FIFO according to the preset communication cycle. This application can overcome cascading deadlocks caused by no response, perform cross-layer backpressure and frequency reduction detection, and achieve communication self-recovery.

This invention relates to the field of aluminum tube printing monitoring, and more particularly to a method and system for monitoring aluminum tube printing based on color difference component analysis. The method includes: acquiring a color image of the aluminum tube to be tested; converting the color image to a target color space and extracting basic color difference feature values ​​compared with a standard template; obtaining geometric confidence weights based on the equivalent surface curvature angle and texture complexity, and reconstructing the basic color difference feature values ​​using these geometric confidence weights to obtain geometrically compensated color difference features; using dynamic environmental compensation weights to perform global compensation of the geometrically compensated color difference features over time to obtain a final dynamic adaptive color difference score, and comparing the final dynamic adaptive color difference score with a preset safety color difference threshold to achieve monitoring and early warning. This invention enables accurate detection of the printing quality of curved, highly reflective packaging materials in complex and harsh industrial environments.

The invention discloses a preparation method and application of a hypochlorite photoelectrochemical sensing platform, and belongs to the technical field of analytical chemistry. According to the preparation process, adopted raw materials are easy to obtain, and reaction conditions are mild and easy to control. The sensing platform is designed and synthesized based on phenothiazine-chromone photosensitive micromolecules as a photosensitizer, and photoelectrochemical (PEC) sensing is realized. The sensing platform has the characteristics of high specificity, high sensitivity and easiness in preparation, quantitative photoelectrochemical signals of pypocholoride can be realized, and the PEC detection electrode is 1.64 nM.

This invention provides a core particle gravity flow deposition film, its preparation method, and its application. The preparation method includes the following steps: (1) grinding and screening core particles sequentially to obtain core nanoparticles; (2) mixing water and the core nanoparticles obtained in step (1) to obtain a suspension; (3) transferring the suspension obtained in step (2) to a solid matrix plate, allowing it to settle, and drying to obtain the core particle gravity flow deposition film. The core particle gravity flow deposition film provided by this invention can achieve accurate analysis of reservoir core permeation characteristics and has broad application scenarios in the field of reservoir wettability and permeation research.

The application discloses a kind of complex scenic spot road scene-oriented automatic driving obstacle identification method, comprising: collecting scenic spot road original image;Input multi-scale feature extraction network, generate multi-scale feature map;It is input into multi-branch decoder, respectively obtain obstacle region segmentation result, obstacle position bounding box coordinates and obstacle type classification probability;Combine the surrounding environment information of road geometric shape, weather and signal light state, using attention mechanism to its feature weighting, generate initial obstacle saliency map;According to the preset obstacle type priority level, detect and process the recognition result of spatial overlap in the map, obtain the obstacle recognition result after conflict resolution;It is consistent with road path segmentation map Space collation, and based on time series smoothing processing eliminates interframe jump, finally output recognition result.The application effectively solves the problem of high-precision, real-time obstacle identification for complex scenic spot road scene.

The invention discloses a water supply pipe network abnormity monitoring method and system based on pipe network dynamic partition. The method comprises the following steps that a flow meter and a normally-closed valve are bound with corresponding pipelines; judging the operation state of the corresponding flow meter according to a preset failure judgment condition to obtain the flow meter in a failure state; taking each pipeline as an edge, deleting the flowmeter in a normal state and the edge corresponding to the pipeline corresponding to the normally closed valve, and establishing a pipe network diagram; traversing and calculating connected components of all edges in the pipe network diagram, taking the connected components as minimum effective partitions and determining boundary normally-closed valves and boundary flowmeters of the minimum effective partitions, obtaining outflow and inflow values of the boundary flowmeters corresponding to the minimum effective partitions at all moments, obtaining a water supply time sequence of each minimum effective partition, calculating a first-order difference sequence, and calculating a second-order difference sequence of each minimum effective partition; and threshold analysis is carried out to obtain a normal fluctuation interval, and accurate detection of data anomaly is realized by judging whether the differential value at each moment is within the interval.

The invention discloses a two-for-one twister broken thread detection method and device based on an improved YOLO algorithm. The method comprises the steps that a two-for-one twister doubling thread data set is constructed; constructing a two-for-one twister broken line detection model based on the improved YOLO, wherein the two-for-one twister broken line detection model comprises a backbone network, a neck network and a head network; the backbone network is used for replacing a C3 module in the YOLOv5s backbone network with a C3SwinTR module; the neck network adopts a RepGFPN structure to replace a PANet structure of YOLOv5s, and adopts an ELAN (Enhanced Local Area Network) stacking strategy; the head network combines an ASFF module and adaptively fuses multi-scale features; inputting the doubling thread data set of the two-for-one twister into a two-for-one twister broken thread detection model based on an improved YOLO algorithm for training to obtain a trained model; inputting a to-be-detected doubling thread image of the two-for-one twister into the trained model for detection; and judging whether wire breakage occurs or not according to a detection result.

The application discloses a kind of flow detection method, device, computer equipment and storage medium, method includes: in target network acquisition network flow data;Based on the visible metadata of encrypted traffic and transmission statistics, statistical processing is carried out in pre-set time window, and the window characteristic vector corresponding to each time window is obtained;In each pre-set time window, the communication entity in encrypted traffic is taken as node, the window characteristic vector is taken as the node feature of corresponding node, and the interaction between communication entities in time window is taken as edge, and the space-time interaction graph is obtained by construction;Based on the preset neural differential model, the space-time interaction graph is processed by continuous time modeling, and the detection result of encrypted traffic is obtained;Based on the detection result of encrypted traffic, the flow detection result of target network is determined.Encrypted traffic is detected by space-time interaction graph and neural differential modeling, while ensuring privacy, to improve detection accuracy and robustness.

This invention relates to the technical field of crane control, and in particular to an AI-based control system for the stable operation of a gantry crane to prevent swaying of heavy loads. The AI-based control system for the stable operation of a gantry crane to prevent swaying of heavy loads provided by this invention includes a gantry crane, a hoisting mechanism mounted on the gantry crane, and a lifting device mounted on the lifting end of the hoisting mechanism. It also includes: a sway detection device, comprising multiple sway sensors mounted on the lifting device and a load sensor mounted on the hoisting mechanism; a data processing device connected to the sway detection device; an AI control device connected to the data processing device; and an execution device connected to the AI ​​control device and the gantry crane. The execution device adjusts the motion state of the gantry crane according to the crane control commands to achieve sway suppression. This invention effectively solves the problem of lag in traditional sway control response and significantly improves the accuracy and reliability of sway control.

The embodiment of the application provides a small sample multi-scale space debris target detection method based on illumination migration, which comprises the following steps: collecting an image to be processed; identifying space debris in the image to be processed based on a preset space debris detection model; the space debris detection model is used for multiple feature extraction, in each feature extraction, multi-scale features are extracted first, and then based on global average pooling and attention mechanism, the correlation between the features and the background of the image to be processed is strengthened to obtain first features; based on a gating residual mechanism, the illumination component in the first features is identified; according to the illumination component, the detection threshold of the gating unit is adjusted; according to the detection threshold, second features are obtained; based on the first features and the second features, feature fusion is performed to identify the space debris. The technical scheme provided by the application is used to solve the problems of high detection difficulty, low detection precision and large calculation amount in the prior art.

The present application relates to wear-resistant detection technical field, especially to a kind of wear-resistant detection device of coating, including detection frame, the left side of the detection frame is equipped with rolling detection mechanism, the right side of the detection frame is equipped with hydraulic push rod, the right side of the hydraulic push rod is equipped with radial rotary drive mechanism, the inside of the detection frame is equipped with radial detection positioning mechanism, the rolling detection mechanism includes two fixed rods fixedly connected in the top wall and bottom wall of belt detection frame, and rotating shaft is fixedly installed between the two fixed rods.The present application is realized to the conveying of pipeline axial by hydraulic push rod driving rolling detection mechanism, while realizing the accurate detection of the radial thickness of pipeline coating by the cooperation setting between elastic sleeve, limit ring and oblique support rod, according to the detection result driving radial rotary drive mechanism to open, the effect of accurately positioning to the area of poor wear resistance is achieved, and the accuracy of pipeline coating wear-resistant detection is greatly improved.

The application discloses a photoacoustic sensor and a gas detection device. The photoacoustic sensor comprises a photoacoustic cell, a sound wave collecting module and a light source module. The photoacoustic cell comprises a photoacoustic cavity, and a hole communicating with the photoacoustic cavity is arranged on a side wall of the photoacoustic cell. The sound wave collecting module is arranged in the photoacoustic cavity and is used for collecting a sound wave signal in the photoacoustic cavity. The light source module is arranged horizontally outside the photoacoustic cell and is connected with the hole. Light emitted by the light source module is directed towards the hole and enters the photoacoustic cavity through the hole. The application can reduce the normal size of the photoacoustic cell, and further realize the miniaturization and integration of the photoacoustic sensor.

The utility model discloses a portable ultraviolet spectrometer relates to the technical field of ultraviolet spectrometer, including the carrying box, is composed of the box and the cover, the object stage is located in the box, the adjusting assembly includes the rotating frame, is located in the cover through the pivot rotation, and the first set of axle is equipped with in its end, the adjusting frame is hingedly installed in the cover, the utility model has the beneficial effect that: through setting the optical detection head on the adjusting assembly, the technical problem that the traditional portable ultraviolet spectrometer detection probe is difficult to adapt to the complex ore detection scene is effectively overcome. In the ore detection process, facing the ore sample of different shape, rough surface, such as the uneven surface of granite, the complex bedding of shale, the optical detection head can adjust the irradiation direction flexibly, realizes the accurate detection of the different area of ore surface, avoids the composition misjudgment caused by the local detection not in place, and the accuracy of ore composition analysis is improved greatly.

The application discloses a method for analyzing a polysaccharide by Raman, a device thereof and application, and relates to the field of polysaccharide analysis. The method comprises the following steps: (1) obtaining a Raman spectrum of the polysaccharide by high-resolution spatial scanning of the polysaccharide by probe coupling Raman; (2) analyzing the stretching vibration characteristic peaks of the chemical bonds of the Raman spectrum to preliminarily determine the monosaccharide molecular formula of the polysaccharide at different spatial positions; (3) analyzing the non-stretching vibration characteristic peaks of the functional groups of the Raman spectrum to accurately determine the monosaccharide molecular formula and the monosaccharide molecular configuration of the polysaccharide at different spatial positions; and (4) determining the arrangement sequence of the monosaccharide molecules in the polysaccharide based on the monosaccharide molecular formula and the monosaccharide molecular configuration of the polysaccharide at different spatial positions to obtain the spatial structure of the polysaccharide. Thus, the monosaccharide molecular formula and the monosaccharide molecular configuration of the polysaccharide at different spatial positions are distinguished, and the accurate detection of the spatial structure of the polysaccharide is realized, which is beneficial to the further application and research of the polysaccharide.

The application relates to the technical field of printhead nozzle state detection, in particular to a nozzle blockage detection device and method of a printhead and a printing device. The device comprises: an infrared laser generation unit for generating parallel infrared lasers on a nozzle array extension line; a light spot detection unit for detecting a light spot signal formed by the infrared lasers; a translation mechanism for driving the infrared laser generation unit and the light spot detection unit to translate along the nozzle array arrangement direction, so that the infrared laser path is adapted to the target nozzle array; a blockage detection unit for controlling the infrared laser generation unit and the light spot detection unit to move, so that the infrared laser path is located on a plane determined by the array extension direction of the target nozzle array and a direction perpendicular to the array extension direction on the ejection side, and in the case that the infrared laser is emitted and an ejection instruction is sent to a specified nozzle, a first light spot signal is acquired, and the working state of the specified nozzle is detected according to the first light spot signal.

This invention provides a road maintenance discrimination method and system. The method includes: converting an initial road surface image into an enhanced illumination component and an enhanced reflection component to obtain an enhanced road surface image; obtaining a texture feature map corresponding to the enhanced road surface image, and then obtaining a global feature sequence; obtaining a determined disease category corresponding to the global feature sequence; obtaining a contour image based on the enhanced road surface image; obtaining a semantic feature tensor and a contour feature tensor through the enhanced road surface image and the contour image, and then obtaining a binarized segmentation map including the disease area; obtaining a road surface score based on the determined disease category and the binarized segmentation map to determine whether road maintenance is required. By obtaining the global feature sequence, the accuracy of disease category recognition is improved, and the combination with the enhanced road surface image enables accurate detection of early-stage diseases. The combination of the semantic feature tensor and the contour feature tensor effectively suppresses false detections caused by non-disease edges, further improving the detection accuracy of diseases.

The application relates to the technical field of brake pad detection and early warning, in particular to a multi-dimensional real-time detection and early warning device for brake pad wear, which comprises a caliper cover, an oil inlet pipe arranged on one side of the caliper cover, an exhaust pipe arranged on the other side of the caliper cover and an oil inlet pipe in communication with an external automobile brake oil pipe; brake limiting grooves are symmetrically arranged on the inner side of the caliper cover, two piston columns are arranged in the two brake limiting grooves, brake pads are arranged in the two brake limiting grooves through locking screws, the brake pads are respectively in abutment with the two sides of a brake disc, two mounting grooves are arranged on the caliper cover, alignment grooves are arranged at one end of the two mounting grooves, and Hall wear detection assemblies are arranged in the two mounting grooves; the Hall wear detection and infrared temperature measurement double-mode sensing are combined to realize independent, real-time and multi-dimensional monitoring of different brake pads; the device has the advantages of high precision, high reliability, self-cleaning, quick maintenance and mechanical redundancy alarm and the like in combination with temperature compensation and uneven wear early warning.

The utility model discloses a kind of FPC high-speed appearance detection equipment, it includes the feed arrangement of supply FPC, back detection camera, front detection mechanism, side detection device, transfer module, to the mechanism of turning over, material receiving device, the first handling mechanism of FPC on the feed arrangement is handled to the above-mentioned back detection camera and FPC, which is back detection completed, is handled to the front detection mechanism, the second handling mechanism of FPC on the front detection mechanism is handled to the side detection device, the third handling mechanism of FPC, which is side detection completed, on the side detection device is handled to the transfer module, the fourth handling mechanism of FPC on the transfer module or the mechanism of turning over is handled to the material receiving device, the utility model not only compact layout, save space, and in detection accuracy, efficiency, stability, versatility and automation degree aspect are all improved, can satisfy FPC high quality, high efficiency appearance detection requirement.

The invention discloses a plunger hole residual stress detection method and a residual stress detection device. The plunger hole residual stress detection method is used for a cylinder body with a plunger hole, the cylinder body is provided with an outer wall and an inner wall, and the plunger hole is limited by the inner wall. The method comprises the following steps: sectioning the cylinder body; wherein the axis of the cylinder body is inclined to the section cutting plane. And measuring the initial aperture of the plunger hole. The position of the groove is determined on the outer wall. Grooving is carried out at the grooving position; wherein the slot extends to the inner wall. And measuring the slotting aperture of the slotted plunger hole. Calculating a residual stress value according to the stress-strain relation model; wherein the stress-strain relation model is a model for expressing the relation between the initial aperture and the residual stress value and between the slotting aperture and the residual stress value. According to the plunger hole residual stress detection method, the residual stress of the plunger hole can be accurately detected, so that technical support is provided for manufacturing and maintenance of a hydraulic plunger pump.

The invention discloses an orchard green litchi detection and counting method and system based on unmanned aerial vehicle vision. The method comprises the steps of data acquisition; preprocessing the image; according to green litchi fruit detection, improvement is carried out on the basis of a YOLOv11n network structure, a small target detection layer is added, a C3k2EMA module fused with an attention mechanism and a neck network fusion SlimNeck module are introduced into a backbone network, the feature extraction capacity of a model for small-size fruits, complex backgrounds and shielded fruits is enhanced, and precise detection of green litchis is achieved. And green litchi fruit tracking and counting: carrying out cross-frame association on detection results in continuous video frames based on a TopicTrack multi-target tracking algorithm, establishing unique identifiers of the fruits, realizing dynamic tracking and repeated detection removal of the fruits, and obtaining an accurate fruit quantity statistical result. According to the invention, high-precision, real-time and automatic detection and counting of green litchis in an orchard can be realized.