16results about How to "Quick review" patented technology

The invention discloses a customs intelligent specimen cabinet monitoring system, relates to the technical field of specimen cabinet monitoring, and aims to solve the problems that the monitoring strength of an existing specimen cabinet is reduced, and abnormality checking cannot be carried out in time. According to the invention, the most suitable transmission channel is flexibly selected through different transmission requirements and environmental conditions, the adaptability and flexibility of the system are enhanced, the feature extraction of the environmental monitoring data covers the monitoring parameters of each sensor, and the comprehensive monitoring of environmental factors is ensured. The monitoring of real-time video data provides intuitive visual information, so that workers can intuitively know the real-time condition in the specimen cabinet, manual intervention is reduced through automatic detection, recognition and alarming, the automation and intelligence level of the monitoring system is improved, and the monitoring efficiency is improved through automatic data classification, visual display and anomaly analysis. And the intelligent level of the customs intelligent specimen cabinet monitoring system is improved.

The invention discloses an AI accelerator card performance evaluation method and device based on a domestic platform and a medium, and belongs to the technical field of artificial intelligence hardware evaluation. The technical problems that in the prior art, the AI acceleration card testing process is complex, testing environment building is tedious, and testing models and parameters are not uniform, so that the performance of all acceleration cards cannot be effectively and transversely compared are solved. The adopted technical scheme comprises the steps that system initialization and information collection are conducted; basic information of the AI accelerator card is obtained through AI accelerator card interface parameters or user input, and the basic information is stored in an AI accelerator card performance database; the collected information comprises an AI accelerator card working state, health information, power consumption, a memory occupancy rate, an accelerator card occupancy rate, temperature and power consumption; setting a test mode and parameters; executing an automatic test; data collection and statistical analysis; processing errors and feeding back; and generating a test report.

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 application provides a mine map difference detection method based on GIS spatial index and AI visual recognition, and the steps include: unifying two mine maps to be compared to the same GIS coordinate reference system, dividing grid units and constructing a spatial index, registering the graphic elements to the corresponding grid according to the bounding rectangle, and establishing the bidirectional mapping of the grid and the graphic element list; rendering the mine map into a raster image, inputting the pre-trained AI visual detection model in double channels, and outputting the difference area bounding box; mapping the bounding box into a GIS difference rectangular area through coordinate conversion, and searching for the intersecting grid as the relevant grid unit; extracting only two sets of candidate graphic element sets in the relevant grid, completing the vector semantic matching comparison, and outputting the difference graphic element result. The beneficial effects are as follows: the AI visual rough screening is used to position the difference area, the GIS spatial index is combined to reduce the full map comparison to the local grid fine comparison, the calculation complexity is reduced, the detection time consumption is shortened, the mine map immediate reporting and immediate auditing requirements are met, the invalid calculation of the non-change area is avoided, and the detection efficiency is improved.

The invention discloses a drilling data processing method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring first drilling data when target drilling operation is performed on a drilling operation site, wherein the drilling data at least comprises drilling and logging parameters used for describing riser pressure, turntable torque, hook load and turntable rotating speed in the drilling and completion process on the drilling operation site; performing optimization processing on null values and abnormal values in the first drilling data to obtain second drilling data; and determining a target drilling working condition classification when the target drilling operation is carried out on the drilling operation site, and carrying out data treatment on the second drilling data according to the target drilling working condition classification to obtain third drilling data. According to the scheme, the drilling data during target drilling operation on the drilling operation site is obtained in real time, the influence of wrong data in the drilling data is avoided, the accuracy of the drilling data is guaranteed, and the drilling data management efficiency is improved.

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 discloses a full-automatic small-diameter tube DR detection system, relates to the technical field of automatic nondestructive testing, and automatically performs grating opening and closing, image acquisition, image quality indicator placement and defect identification, realizes full automation of small-diameter tube flaw detection operation, greatly reduces the workload of workers, and improves the production efficiency. And the flaw detection data are stored and traced by utilizing information such as a manufacturing operation management platform and a quality database, so that the data are effectively protected, and quick query and recheck are facilitated. Automatic double-filament and single-filament placement is achieved, and the image quality measurement efficiency is improved. The image quality indicator comprises a double-wire image quality indicator and a single-wire image quality indicator, the double-wire image quality indicator assists in measuring the DR image resolution of the small-diameter tube, and the single-wire image quality indicator assists in measuring the DR image sensitivity of the small-diameter tube, so that the quality of an image acquired in full-automatic DR detection of the small-diameter tube is confirmed, and subsequent defect evaluation on the DR image is facilitated. The monofilament image quality indicator has a plurality of different specifications so as to carry out image quality confirmation corresponding to different pipe diameter wall thicknesses of small-diameter pipes.

The application discloses a data tracing method and system for remote battery capacity check, and relates to the technical field of power operation and maintenance data tracing, which comprises the following steps: receiving capacity check request data, extracting capacity check starting elements, performing field integrity check and starting access check on the capacity check starting elements, when the check is passed, solidifying the capacity check starting elements into capacity check starting reference records in a preset fixed field order, performing field splicing and abstract processing on the capacity check starting reference records, generating a capacity check task fingerprint, when the check is not passed, forming a starting check failure record and blocking the generation of the capacity check task fingerprint and the discharge issuing, and collecting capacity check operation data of corresponding battery groups after the capacity check task fingerprint enters a capacity check device with the remote capacity check task.

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 discloses a multi-agent platform insurance excess dose recognition system and input device, and the system comprises an excess dose recognition system which comprises a user management module, an information input module, a system analysis module, a system maintenance and updating module, and a report generation module. The user management module creates personal archives of users for clients, collects age, gender, weight, height and health conditions, and facilitates subsequent systematic comparison. The system comprises a user management module, an information input module, a system analysis module, a system maintenance and update module and a report generation module, multiple agents of the system work cooperatively, and rapid auditing of medicine excess amount recognition can be achieved, so that the working efficiency and the working quality are improved.

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.

The invention discloses a coloring ring back tone auditing method and device based on a dual-mode watermark, electronic equipment and a medium. The method comprises the following steps: carrying out watermark extraction on a coloring ring back tone to be audited; when the to-be-audited polyphonic ringtone does not carry the robust watermark and the fragile watermark, determining that the to-be-audited polyphonic ringtone is a platform newly-added polyphonic ringtone, and embedding the robust watermark and the fragile watermark after the to-be-audited polyphonic ringtone passes content audit to obtain a warehousing polyphonic ringtone; when the to-be-audited polyphonic ringtone carries the robust watermark and the fragile watermark, determining that the to-be-audited polyphonic ringtone is an existing polyphonic ringtone of the platform, determining a use range of the to-be-audited polyphonic ringtone according to a watermark extraction result, and performing use audit on the to-be-audited polyphonic ringtone according to the use range; and when the to-be-audited polyphonic ringtone carries the robust watermark but does not carry the fragile watermark, determining that the to-be-audited polyphonic ringtone is a platform modified polyphonic ringtone, determining copyright information of the to-be-audited polyphonic ringtone according to a watermark extraction result, and performing copyright auditing on the to-be-audited polyphonic ringtone according to the copyright information. The polyphonic ringtone auditing efficiency and accuracy are improved, and the method can be widely applied to the technical field of polyphonic ringtones.

The invention discloses an LDAR filing quality evaluation method based on multi-source data fusion. The method comprises the steps of obtaining original images of target industrial enterprise equipment and pipeline components and a to-be-analyzed marking image; determining an image quality evaluation result of the original image by using a preset definition evaluation model; extracting pixel features of the original image according to an image quality evaluation result; extracting attribute features of the target industrial enterprise equipment and the pipeline component in the original image, and performing feature fusion on the pixel features and the attribute features to obtain target features; matching a device component mark name corresponding to the target feature from a preset feature database, and performing image marking on the original image based on the device component mark name to obtain a target mark image; and comparing the target marking image with the to-be-analyzed marking image to obtain the marking error rate of the to-be-analyzed marking image, and determining the target evaluation result based on the marking error rate, thereby improving the evaluation efficiency of LDAR filing.

The invention belongs to the field of batteries, and particularly relates to a lithium ion battery formation quality evaluation device and an evaluation method. The lithium ion battery formation quality evaluation device comprises a sample test bin and a cover body arranged on the sample test bin, the sample testing bin is provided with a liquid discharge valve and a liquid inlet valve; and the sample testing cabin is used for accommodating a battery pole group to be evaluated. According to the lithium ion battery formation quality evaluation device and the evaluation method provided by the invention, the battery formation is evaluated by calculating the coulombic efficiency of charging and discharging after the solvent with poor graphite cathode compatibility is added, and the method can be used for quickly evaluating the formation by using the simple device and reagent.

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.