6results about How to "Quick review" patented technology

The invention discloses a key element extraction method oriented to automatic generation of a cognitive electronic warfare test scheme. The key element extraction method comprises the following steps: acquiring a cognitive electronic warfare demand document data set; obtaining a candidate element set based on the demand document data set in combination with task perception template matching and position constraint priority rules; performing semantic sorting and screening on the candidate element set according to hierarchical semantic representation to obtain screened candidate elements; processing the screened candidate elements according to a domain term knowledge base to obtain normalized elements; and obtaining structured key element information based on the normalized elements. According to the method, the unstructured demand text can be converted into the structured quintuple capable of being used for automatic generation of the test scheme in a high-quality mode, coverage, semantic accuracy and term normalization are considered, and engineering deployment and manual review are facilitated.

The invention belongs to the technical field of building interior wall detection, and discloses a building interior wall verticality detection device, which comprises a movable rack, a detection mechanism, a detection mechanism and a control mechanism, and is characterized in that the movable rack is provided with a guide mechanism for moving in a manner of being attached to a wall surface; and the gravity sensing assembly is pivoted in the movable rack and comprises a pendulum bob which generates relative swing along with the inclination of the movable rack, and a triggering magnetic piece is arranged at the lower end of the pendulum bob. The inclination state of the movable rack is sensed in real time through cooperation with the gravity sensing assembly, the detection process can be continuously carried out when the movable rack moves along a wall, the operation burden caused by point-by-point staying alignment and visual inspection reading is reduced, the inspection efficiency is improved, the pendulum bob and the triggering magnetic part are adopted as inclination triggering sources, and the detection accuracy is improved. The triggering displacement is realized by utilizing the magnetic force action of the stress magnetic piece and the impact piece, so that the triggering process is mainly based on magnetic force coupling, the frictional wear and clamping stagnation probability of a pure mechanical shifting structure is reduced, and the long-term stability of a triggering threshold value is favorably kept.

The invention relates to the field of catalyst performance evaluation, in particular to a performance evaluation device and method for a carbon-based ozone decomposition catalyst. The device comprises an air generator, a first mass flow meter, an ozone generator, a first switch control valve, a measuring pipe, a second switch control valve and an ozone analyzer which are sequentially connected together through a pipeline, a second mass flow meter is connected in parallel to the pipeline between the air generator and the first mass flow meter and the pipeline between the ozone generator and the first switch control valve through a pipeline; a third switch control valve is connected in parallel on a pipeline between the second mass flow meter and the first switch control valve and a pipeline between the second switch control valve and the ozone analyzer through a pipeline; the device is used for evaluating the performance of the catalyst, the conversion rate and the failure rate are used as key indexes for evaluating the performance of the ozonolysis catalyst, the inlet and outlet concentrations of ozone can be detected in real time, the sample testing error is small, and the rapid evaluation of the performance of the ozonolysis catalyst can be realized.

The invention relates to the technical field of welding quality online monitoring, and discloses an exothermic welding quality monitoring method based on sensing data. Arranging a temperature sensor at a welding station to be aligned with a heat release center, and collecting a calibration temperature and an original voltage sample to generate a conversion slope and an intercept; determining sampling starting and ending according to starting and working step ending signals, forming a voltage sequence according to a sampling interval, converting temperature, generating temperature rise by taking the first temperature as a reference, and normalizing the temperature rise; self-adaptive triangular smoothing is carried out according to the number of sampling points, a computable interval is limited, and differential change rate and local second-order bending rate energy samples are constructed; samples are sorted to obtain self-baseline statistics, an abnormal index, a quality value and an abnormal time period are generated in combination with maximum energy, and a quality grade is output and filed. Cross-device comparability is achieved, noise is resisted, invalid sampling is reduced, and compared with a peak value method, process abnormity is easier to recognize and locate and traceability is achieved.

The present application relates to the technical field of mine soft rock roadway structure health monitoring and machine vision detection, and provides a kind of soft rock roadway surface crack intelligent identification and extraction method based on machine vision.The method uses industrial camera to continuously image collection on the surface of soft rock roadway roof and two sides, combines camera calibration and illumination adaptive preprocessing, realizes image distortion correction and noise suppression;The preprocessed image is input into the deep learning crack identification model to output the crack pixel-level segmentation result, and based on the scale calibration, the pixel features are converted into engineering scale parameters, and the geometric indexes such as crack length, width and strike direction are automatically extracted;Further, a multi-index risk assessment model is constructed, which comprehensively considers factors such as crack width grade, length expansion rate, direction and angle between soft rock roadway principal stress direction to calculate risk grade and output early warning information.The method realizes the automatic identification, parameterization extraction and risk classification of cracks, and improves the efficiency of soft rock roadway inspection and the objectivity of evaluation.

This invention relates to audio and video review technology, and discloses a rapid review method and system based on publicly released films. The method includes: forming a publicly released film audio fingerprint sample library; registering the opening audio data of publicly released films to a sound recognition system to form the publicly released film audio fingerprint sample library; the opening audio data of publicly released films includes the opening audio data of the film's logo; marking positional information by marking the positional information of characters in the publicly released film audio fingerprint sample library; and reviewing the fingerprint samples by verifying the presence of fingerprint samples in the publicly released film audio fingerprint sample library through the sound recognition system. If the sound recognition system detects a publicly released film audio fingerprint sample in the library, it is considered a fingerprint sample, and the video is a publicly released film video that has passed review. This invention eliminates the need to analyze the entire video, enabling rapid review of publicly released films; simultaneously, this invention provides accurate and efficient detection of publicly released film videos, effectively saving review personnel's time.