13results about How to "Reduce missed judgments" patented technology

This invention discloses a real-time monitoring method for vehicle lane-crossing behavior based on image semantic segmentation, comprising the following steps: acquiring traffic video data to obtain a road image sequence and performing preprocessing; inputting the image semantic segmentation model for semantic segmentation processing to obtain a semantic segmentation result image; performing morphological processing and connected component analysis to obtain the set of pixel boundaries of the vehicle region and the set of pixel boundaries of the lane lines; calculating the spatial position data of the lane lines and performing perspective correction processing to obtain perspective-corrected lane line spatial position data; generating the position region of the vehicle region in the image coordinate system; performing target association matching to generate vehicle motion trajectory data; establishing spatial relationship data and forming relative position changes; performing temporal consistency analysis and real-time determination, and outputting the vehicle lane-crossing behavior detection result, thereby achieving continuous, accurate, and real-time monitoring of vehicle lane-crossing behavior.

The embodiment of the invention provides a living body electric shock identification method and equipment for electrical equipment and a storage medium, and belongs to the technical field of low-voltage power distribution networks. The method comprises the following steps: judging whether a first electric shock triggering condition is met or not according to the amplitude of a total leakage current signal and a preset triggering amplitude threshold value; determining a first sub-period ratio and a second sub-period ratio according to the first electric shock current signal effective value, the second electric shock current signal effective value and the third electric shock current signal effective value; according to the first sub-period ratio and the second sub-period ratio, judging whether a second electric shock triggering condition is met or not; judging whether a third electric shock triggering condition is met or not according to the phase difference between the three-phase voltage of the electrical equipment and the electric shock current signal; and when the first electric shock triggering condition, the second electric shock triggering condition and the third electric shock triggering condition are simultaneously satisfied, determining that the electrical equipment has a living body electric shock phenomenon. The accuracy of determining the electric shock of the living body can be improved.

The application discloses a rail-mounted crane visual anti-lifting detection method, system, device and medium, mainly relates to the anti-lifting detection technical field, to solve the current port rail-mounted crane anti-lifting detection generally depends on the low precision of physical sensor and single visual identification technology. Including: according to the pixel range of each industrial camera corresponding image data in the lifting height interval and the hanging high altitude interval, cutting the processed image into lifting height slices and hanging high altitude slices according to the pixel range; using YOLOv5 algorithm, detecting the lifting height slice, identifying whether the container truck tire is off the ground and whether the spreader is aligned; using the CNN-Transformer hybrid structure, detecting the hanging high altitude slice, identifying whether the container truck head has a preset abnormal lifting behavior; when it is detected that the container truck tire is off the ground and the spreader is not aligned or the preset abnormal lifting behavior exists, triggering the abnormal alarm process.

The application provides a power distribution operation weather risk dynamic early warning method and system. The method comprises the following steps: querying weather forecast data according to a current operation position, time-aligning the weather forecast data and weather detection data to obtain a synchronous weather data set, extracting features and performing weighted fusion on the synchronous weather data set according to a fusion weight coefficient to obtain weather characteristic values, converting the weather characteristic values into initial risk values according to a numerical mapping rule, performing weighted summation on the initial risk values according to a risk weight coefficient to obtain a basic weather risk value, performing scene correction on the basic weather risk value according to power distribution operation data and the current operation position to obtain a comprehensive risk value, and matching the comprehensive risk value with a risk and instruction relationship to obtain a risk grade and an early warning instruction. Through multi-source weather data synchronous fusion, power distribution operation scene correction and hierarchical mapping early warning, the application realizes scene-based early warning of weather risks, so as to improve the safety of power distribution operations.

The application discloses a panoramic data acquisition and master station synchronization method of a relay protection and stability device, relates to the technical field of power communication monitoring, and aims to solve the problem of master station synchronization distortion; the application constructs a cooperative link of displacement checking, configuration analysis, aggregated configuration, communication processing and information processing, realizes unified acquisition and master station synchronization of the state of a pressing plate, the state of a loop and device message information of the relay protection and stability device, checks the mechanical action of the pressing plate and the electrical response of the loop jointly, generates a panoramic data directory in combination with object master keys, relation indexes and version indexes, and executes field mapping, time normalization and difference supplement transmission, so that the data acquisition accuracy, synchronization integrity and operation reliability are improved.

The application provides a wiper automatic control method, device, equipment and readable storage medium. The wiper automatic control method comprises the following steps: acquiring a raindrop image in real time, wherein the raindrop in the raindrop image is not in contact with the front windshield; calculating a total volume of raindrops in a preset range according to the raindrop image, averaging the total volumes of raindrops corresponding to all raindrop images acquired in a preset time to obtain a volume reference value; and controlling the working frequency of the wiper according to the volume reference value. The application expands the sensing range of raindrops through the image acquisition mode, which helps to reduce misjudgment and missed judgment. The volume reference value is calculated to determine the rainfall size, and the judgment accuracy is high, so that the stable and good rain removal effect is ensured, and the driving comfort and safety are improved.

Embodiments of the present application provide a fraudulent website detection method and related equipment. The fraudulent website detection method comprises: capturing a website to be detected, and extracting multi-dimensional website information; performing feature engineering on the multi-dimensional website information to obtain corresponding multi-dimensional website features; and inputting the multi-dimensional website features into a website detection model to obtain a detection result. Through the extraction and optimization of the multi-dimensional features of the website after capturing various website information, the present application provides multiple identification clues for the complex camouflage of fraudulent websites, further compresses redundant information, and strengthens key features related to fraud. These key features are input into the website detection model for multi-modal detection and classification, so as to efficiently and accurately determine whether the website is a fraudulent website. The present application not only can process complex multi-modal data, but also can quickly and efficiently identify fraudulent websites, improve detection accuracy, reduce misjudgment and omissions, and thus achieve the technical effects of improving user safety and reducing risks.

This application provides a method, apparatus, device, medium, and product for detecting security vulnerabilities in intelligent agents. It relates to the field of information security technology. The method includes: determining the intent type, perplexity value, and back-translation similarity of input text; determining that the input text passes detection if all corresponding preset conditions are met; using a preset classification model to determine the security category of each MCP tool to be used based on its metadata, to obtain a target MCP tool list; generating a global tool dependency graph based on the detected input text and the target MCP tool list; using a preset graph neural network model to construct a security detection graph based on the global tool dependency graph, to verify whether the global tool dependency graph can be executed; and controlling the intelligent agent to perform operations based on the global tool dependency graph in response to successful verification. This application achieves comprehensive coverage of security vulnerabilities during intelligent agent runtime through comprehensive detection of input text, MCP tools, and inference chains.

This utility model discloses a high and low pressure leakage detection machine for product testing, including a base: a conveying device is fixedly installed on one side of the top surface of the base; a fixed frame is fixedly installed at one end of the base located on the conveying device; a third conveyor belt is fixedly installed on the top surface of the base located at the other end of the conveying device; a clamping device is fixedly installed on the top surface of the base on the side of the conveying device away from the fixed frame; and a high-pressure pump is fixedly installed on one side of the top surface of the fixed frame. Beneficial effects: This device applies positive and negative pressure to the inside of the bottle through the alternating action of the high-pressure pump and the vacuum pump, respectively, achieving dry-type leak detection without water injection, effectively avoiding drying treatment and energy consumption caused by water residue; in addition, the multi-stage coordination of this device can complete the conveying, positioning, clamping, detection, and intelligent diversion of unqualified bottles, significantly improving detection efficiency and reducing energy consumption and labor costs.

This invention provides a method, system, and related apparatus for dynamic risk identification during the commissioning phase of a wind farm based on digital twins, comprising the following steps: Step 1, preprocessing the collected commissioning data of the target wind farm at time t-1 to obtain a multi-source fusion feature vector; Step 2, using the multi-source fusion feature vector as input to a pre-constructed wind farm digital twin model to obtain the predicted value of the wind turbine status at time t; the wind farm digital twin model is constructed from a mechanism model and a data model; Step 3, calculating the deviation between the predicted value of the wind turbine status at time t and the actual detected value of the wind turbine status at time t; Step 4, identifying the risk of the wind turbine commissioning status of the target wind farm based on the multi-source fusion feature vector and the deviation; This invention achieves closed-loop intelligent control from risk perception, identification, assessment to decision-making and execution, significantly improving the safety, accuracy, and efficiency of the wind farm commissioning process.

The application discloses a kind of coal-fired power plant boiler's slagging monitoring method and system, it is related to boiler monitoring technical field, method includes acquisition water-cooled wall real-time infrared thermal image sequence data, adaptive pretreatment is carried out in combination with furnace working condition, according to the adaptive division of sub-region of heat zone distribution density, and establish each sub-region spatial position mark and boundary correlation information;Extract sub-region thermal response characteristic, construct dynamic global thermal response statistical characteristic based on characteristic stability;Calculate sub-region local deviation characteristic, complete characteristic correction in combination with adjacent sub-region correlation;To the time series accumulation calculation of continuous multiple frames after correction feature, extract time series deviation cumulative characteristic;The local deviation characteristic after correction is matched with time series deviation cumulative characteristic jointly, meets judging condition then judges corresponding sub-region slagging and exports result.The application can adapt to furnace working condition and water-cooled wall heating distribution, distinguish transient temperature fluctuation and slagging anomaly, reduce interference influence, reduce boundary slagging leakage judgment and misjudgment.

This invention relates to the field of environmental linkage alarm technology, and discloses a linkage alarm method and system based on environmental monitoring, including: dividing the parking area grid into multiple sub-areas and initializing the wind speed of the sub-areas as the environmental wind speed; correcting the wind speed of the sub-areas based on the building layout; executing an environmental vibration judgment strategy; estimating the equivalent wind speed experienced by the electric vehicle based on triaxial acceleration; and determining whether the environmental wind speed is a vibration trigger source based on the characteristics of the surrounding vibration; executing a single vehicle physical state assessment strategy; calculating the vibration amplitude of the acceleration and the tilt angle of the electric vehicle based on triaxial acceleration; executing an alarm and collaborative suppression strategy based on a threshold assessment of the physical state; setting different alarm levels according to the physical state; executing a theft detection and response strategy according to the alarm level; calculating the direction index of the average acceleration based on triaxial acceleration; calculating the theft confidence based on the kurtosis of the resultant acceleration; and improving the orderliness and intelligence of the alarm.

This invention relates to a method for locating defects in forgings, aiming to improve the efficiency and accuracy of defect identification. The method first involves grinding the surface of the forging to ensure its smoothness and flatness. Next, an ultrasonic flaw detector with low-frequency and high-frequency emission capabilities is used to emit ultrasonic waves and acquire signals. Wavelet transform technology is used to process and analyze the acquired signals, extracting amplitude, phase, and frequency features to form a feature set. In the defect feature identification stage, feature vectors are constructed and input into a trained support vector machine (SVM) model, outputting the probability of various defects. The defect type is determined based on a set threshold; if the probability exceeds the threshold, the defect is considered to exist. Finally, samples are cut and subjected to tensile tests based on the detection results to confirm the defect characteristics. This invention combines wavelet transform and machine learning techniques, not only achieving precise location of forging defects but also improving detection efficiency, demonstrating promising application prospects and economic value.