15results about How to "Efficient and accurate detection" patented technology

The utility model relates to the technical field of image acquisition, in particular to a chip glass substrate image data acquisition device. Comprising a longitudinal movement guide rail, a sample bearing base plate is arranged above the longitudinal movement guide rail in a sliding mode, a transverse movement guide rail is arranged above the sample bearing base plate, and a first detection moving rail and a second detection moving rail are fixed to the front side of the transverse movement guide rail; a first sensor is fixed to the front side of the first detection moving rail, and a second sensor, a third sensor and a fourth sensor are fixed to the front side of the second detection moving rail. According to the device, the chip glass substrate can be automatically detected, and the situation that the through hole of the glass substrate is abnormal and blocked can be identified.

This application discloses a method, system, and computer program product for detecting the length of back-drilled residual piles. The method involves injecting a test signal into the metallized through-hole of the back-drilled structure under test, obtaining the first time-domain difference between the test signal and the first reflected signal, and then measuring the length of the residual pile in the back-drilled hole under test. This achieves efficient and accurate measurement of the length of back-drilled residual piles in high-frequency, high-speed printed circuit boards, effectively improving the accuracy and repeatability of back-drilled residual pile measurement. It also facilitates automated online detection, effectively improving detection efficiency, reducing human error, and meeting the requirements of large-scale production of high-frequency, high-speed printed circuit boards.

The embodiment of the invention provides a pot detection method of a cooking utensil, electronic equipment, a storage medium and a program product. A pot detection pulse signal is sent to the electromagnetic heating assembly, and whether a magnetic conduction material pot is placed on the electromagnetic heating assembly or not is judged according to the number of oscillation pulse signals generated by a resonance circuit of the electromagnetic heating assembly; or the resistance wire heating assembly is started, and whether the cookware is placed or not is determined according to the detected temperature; if the cookware made of the magnetic conductive material is not placed on the electromagnetic heating assembly and the cookware exists, it is determined that the cookware made of the non-magnetic conductive material is placed on the electromagnetic heating assembly. According to the method, through self-adaptive identification of the type of the cookware, the problem that the user needs to manually select the cookware after placing the cookware is solved, convenient, efficient and accurate cookware detection is realized, and the cooking experience is improved.

This invention discloses an automatic detection device and method for longitudinal axial flow grain loss, comprising a material conveyor belt, a separating axial flow mechanism, a seed receiving tray, a double-layer vibrating screen, a cleaning fan, a grain conveyor belt, a weighing device, a sieve box, an axial flow stepless speed regulator, a power and transmission unit, a work area, a driver's cab, and an operating system. The material conveyor belt is located at the front end of the device and is connected to the interior of the separating axial flow mechanism. Below the separating axial flow mechanism, from front to back, are arranged the seed receiving tray, the double-layer vibrating screen, and the sieve box. The cleaning fan is located below the seed receiving tray, the grain conveyor belt is located behind the cleaning fan, the weighing device is located below the grain conveyor belt, and the axial flow stepless speed regulator is located at the rear end of the separating axial flow mechanism and is connected to the separating axial flow mechanism via a spline. This automatic detection device and method for longitudinal axial flow grain loss employs an intelligent driving and operating system to achieve accurate and efficient detection of grain loss across multiple crops and working conditions, with full mechanization and automation.

This invention relates to the fields of molecular biology and genetic breeding, and particularly to the dCAPS marker associated with the length of adventitious roots in wheat under waterlogging stress and its application. This dCAPS molecular marker is based on the 234,677,747th base of wheat chromosome 6B; the SNP base difference is either C or T. This molecular marker is accurate and efficient to detect, convenient and stable to amplify, and can be used for marker-assisted selection to improve the efficiency and accuracy of identifying the waterlogging stress resistance of wheat plants.

This utility model discloses a portable rapid eutrophication detector, including a detection box. A detection port is opened on the top surface of the detection box, and a movable platform is fitted into the detection port. A detection probe is installed on the bottom surface of the movable platform. Movable discs are installed inside the detection box, and a base plate is fixed between two movable discs. A sample container and a calibration container are respectively fixed on the top surface of the base plate. A cleaning hole penetrates through the center of the base plate, and the detection probe is movably connected to the cleaning hole. A storage cavity is opened at the bottom of the base plate. A cleaning box is fixed to the bottom surface inside the detection box, and a spray head is arrayed on the top surface of the cleaning box. A display panel is installed on the front of the movable platform. The automatic detection method achieves efficient and accurate detection, greatly improving the efficiency and reliability of eutrophication monitoring. After detection, the container is automatically rotated 180 degrees to automatically discharge waste liquid, while the high-pressure spray head rinses the inner wall of the container to prevent cross-contamination.

This invention provides a method, apparatus, and device for detecting the physicochemical parameters of oil, relating to the fields of spectral analysis and industrial equipment condition monitoring. The method includes: acquiring hyperspectral data of the oil to be tested; inputting the hyperspectral data into a pre-trained spectral decoupling network to output a base spectral component related to the oil brand, and a common component feature vector unrelated to the oil brand but related to the oil's health status; matching the common component feature vector with a pre-built general reference library to determine the physicochemical parameter values ​​of the oil to be tested. The method of this application achieves efficient and accurate detection of physicochemical parameters of oils from multiple brands, breaking the limitation of "one model per brand," effectively improving the accuracy of the detection results and the generalization ability across brands, significantly reducing the deployment and maintenance costs of the detection system, and significantly improving the practicality of multi-brand oil condition monitoring.

The utility model discloses a cold rolling die detection device which comprises a line drawing support and a detection support which are located at a discharging end, an installation cylinder is arranged on the line drawing support and located above a finished steel pipe extending out of the discharging end, a marking pen is arranged in the installation cylinder, and a pen point of the marking pen penetrates through the bottom of the installation cylinder. The finished steel pipe rotatably extends out of the discharging end to enable the marking pen to draw a continuous spiral line on the surface of the finished steel pipe, the detection support is provided with a rotating head capable of rotating to adjust the angle, the rotating head is provided with a camera, and the camera faces the finished steel pipe to detect the spiral line on the surface of the finished steel pipe. Whether the spiral line is abnormal or not is detected through the visual detection function of the camera, if the spiral line is abnormal, an abnormal signal is directly transmitted to the controller of the cold pressing equipment, shutdown is achieved, workers do not need to stare at all the time, the labor intensity is greatly reduced, and detection is more efficient and accurate in a visual detection mode.

This disclosure provides a method, model training method, and system for detecting energy consumption anomalies in industrial scenarios. The method includes: acquiring several sets of sample energy consumption training data for target energy-consuming objects in a target industrial scenario; the sample energy consumption training data includes sample energy consumption feature data and corresponding sample energy consumption anomaly annotation data; training a preset random projection model based on the sample energy consumption feature data in each set of sample energy consumption training data as input and the corresponding sample energy consumption anomaly annotation data as output to obtain an energy consumption anomaly detection model; wherein, the preset random projection model uses a random hyperplane for recursive segmentation. In this disclosure, by comprehensively considering multi-dimensional energy consumption correlation data in the scenario, fused features are obtained through a stacked autoencoder network, and then combined with the preset random projection model for joint modeling, to achieve efficient and accurate detection of energy efficiency anomalies in the target industrial scenario, enabling timely intervention and processing of energy consumption anomalies.

This invention discloses a steel structure component torsion testing device, including a support frame, a movable mounting plate on top of the support frame, a rotatable vertical rod at the bottom of the mounting plate, a clamping rod rotatably connected to the bottom of the connecting rod, a connecting block on the outside of the vertical rod, a piston cylinder communicating with a circular groove fixed on the connecting block, a movable piston slidably connected inside the piston cylinder, a horizontal rod fixed on the movable piston, and a laser rangefinder fixed to the end of the horizontal rod. This invention provides two testing methods: horizontal linear movement and rotation, which can be used individually or in combination. The former is suitable for torsion testing of a single horizontal cross-section of the component, while the latter is suitable for overall torsion testing of the component. Simultaneously, the travel distance, rotation range, and testing position of the laser rangefinder can be flexibly adjusted to adapt to steel structure components of different sizes and testing locations, offering strong testing coverage and applicability.

The utility model relates to fire detection equipment technical field and disclose a kind of comprehensive pipe gallery wisdom management fire detection device, including fire alarm control host, the inner surface of both sides vertical plate of fire alarm control host is fixedly installed with air inlet grille, wherein, protection mechanism is provided in fire alarm control host, the comprehensive pipe gallery wisdom management fire detection device, when abnormal situation such as fire occurs, plc electric control board controls motor to start, motor drives fixed rod to rotate, make collar slide along sliding roller, and then drive vertical plate to move, finally make baffle rotate, realize the shielding or opening of air inlet grille, this mechanism can adjust ventilation according to actual situation, both can prevent fire spread when smoke or fire through air inlet grille into device internal and cause harm to its internal electrical components, also can protect equipment safety, can also ensure ventilation when necessary, maintain normal operation of device.

The present application provides a mental state detection method based on cross-frequency coupling and band attention mechanism, relates to the technical field of electroencephalogram signal processing, and comprises the following steps: preprocessing electroencephalogram data and decomposing the electroencephalogram data into a high-frequency band range and a low-frequency band range, and respectively performing sub-band selection; calculating a phase-amplitude coupling matrix for the multi-channel decomposition result of each sub-band; calculating the attention weight of each pair of sub-bands, and aggregating and convolving features to obtain a unique representation of each band coupling feature; performing multi-scale feature extraction, capturing coupling features with high contribution in different receptive fields and performing feature enhancement processing; a mental state classification network initial model compresses the coupling features after the feature enhancement processing, reduces the dimension of the coupling features, obtains new feature representations, and performs classification training based on the new feature representations through a plurality of full connection layers to obtain an optimized mental state classification network model. The present application can effectively improve the accuracy of the classification model in mental state detection.

The application discloses a feeding device for bamboo product processing and relates to the technical field of bamboo product processing. The feeding device comprises a feeding fixing frame, an adjustable guide plate is fixedly arranged in the feeding fixing frame, burr detection films are arranged on the two sides of the adjustable guide plate, and a contact image sensor is arranged on one side of the burr detection film. The feeding device has the following advantages: the bamboo product is controlled to produce displacement in four directions in a plane during feeding, the contact image sensor detects the surface of the burr detection film during displacement of the bamboo product, burrs of the bamboo product are analyzed and verified according to the detection result, the bamboo product that does not meet the standard is selected according to the analysis result, and the burrs of the bamboo product are prevented from causing harm to the operator during subsequent processing. The burrs of the bamboo product are detected during feeding of the bamboo product, and thus the preceding process of production and processing can be inspected, and the operation safety of the subsequent process is ensured.

The utility model provides a kind of laminated member misplacement detection device, laminated member production system, it is related to photovoltaic technical field to solve laminated member misplacement phenomenon difficult to be efficiently detected technical problem.The laminated member misplacement detection device, including pedestal, conducting part and the first stop piece and the second stop piece of relative arrangement, along preset direction, first stop piece, second stop piece are slidably arranged on pedestal;Conducting part is arranged on first stop piece;In preset direction, second stop piece has insulating section and at least one conducting section, and switch circuit is formed between conducting part and second stop piece;When the laminated member of detection is in misplacement state, the end of conducting part away from first stop piece and conducting section abut;When the laminated member of detection is in alignment state, the end of conducting part away from first stop piece and insulating section abut.The laminated member misplacement detection device can be efficiently detected, reduce the probability of misplacement laminated member flowing into normal component process.