114results about How to "Reduce misjudgment" patented technology

This application discloses a drone cargo delivery method, apparatus, device, and storage medium based on identity verification, applicable to drones equipped with sensors and cameras, and relating to the field of computer technology. The method includes: sending a random receiving code corresponding to the recipient's receiving location to receiving software; capturing a flash image of the recipient using the camera, detecting ambient brightness based on sensors, and adaptively processing the brightness of the flash image based on the ambient brightness; determining the flash brightness components based on the processed image using a target smoothing method, statistically analyzing the flash brightness components of each candidate region in the processed image, determining the target on / off state sequence corresponding to the flash based on the obtained flash energy sequence, and if the target on / off state sequence matches a preset on / off rule in the random receiving code, it indicates successful identity verification of the recipient, completing the corresponding cargo delivery operation. This improves the efficiency and accuracy of drone cargo delivery.

The application discloses a vehicle seat occupancy detection method and system and a storage medium, and relates to the technical field of vehicle intelligent detection. The method comprises the following steps: in response to an opening operation of a target vehicle door, camera sensing data in a preset time period is acquired, wherein the camera sensing data is used to represent vital sign object information sensed by a surround-view camera of a target vehicle within a preset range of the target vehicle door; and based on the camera sensing data and seat pressure sensor data, the occupancy of a vehicle seat corresponding to the target vehicle door is determined, wherein the seat pressure sensor data is used to represent force information of the vehicle seat sensed by a seat pressure sensor of the target vehicle. The application solves the technical problem that the accuracy of vehicle seat occupancy detection in the related art is low, and thus the vehicle safety reminder function cannot be effectively triggered to ensure passenger safety.

This application relates to the field of industrial data processing and intelligent control technology, and discloses a method for dynamic modeling and prediction of industrial big data combined with digital twins. The method includes: acquiring operating status data, process execution data, control command records and prediction results, and constructing a sequence of control action events; segmenting the operating status data according to the sequence of control action events to form natural operating data segments and intervention operating data segments, extracting distribution characteristics, fluctuation characteristics and response characteristics, and generating a segmented behavioral feature set; calculating the control reflexive influence quantity and generating a reflexive drift marker, dividing the natural evolution dataset and the control feedback dataset, and predicting them separately; generating control risk constraint quantity, screening, delaying or limiting the control commands to be executed, and iteratively correcting the dataset according to the execution results; this method can distinguish between control feedback changes and natural evolution changes, reduce drift misjudgments, and suppress multi-round oscillations and parameter fluctuations.

The utility model discloses a high detection rate's stud mistake and miss detection equipment relates to stud detection technical field, including equipment main part, the upper side of fixed disc is connected with the ring sleeve that slides, and the deflection mechanism is connected between ring sleeve and fixed disc, and the outside of ring sleeve is provided with four groups of symmetrical arrangement's connecting groove, and the inboard fixed connection of ring sleeve has the baffle, and the upper side of equipment main part is connected with the feeding mechanism, and the upper side fixed connection of equipment main part has the vertical board, and the detection mechanism is installed outside vertical board, and the downside of fixed disc is provided with first blanking groove and second blanking groove, and the upside of fixed disc is provided with the round groove, and the inside of round groove is installed the plugging mechanism. This equipment adopts annular rotary detection station, and cooperates adjustable blanking channel, realizes workpiece dynamic multi -angle vision detection, and through real -time image intelligent determination stud quality, and utilizes rotary plugging mechanism switching blanking path, and automatically separates qualified and defective workpiece, and significantly improves detection accuracy and sorting efficiency.

This invention belongs to the field of power monitoring technology and discloses a brightness balancing and regional smoothing fusion algorithm for power monitoring images. The method includes: image denoising, using mean filtering and median filtering to smooth the image; image registration, performing optimal matching on two or more images obtained from different sensors, at different times, or from different angles; and image region fusion, smoothly fusing images with different angles and brightness contrasts. This method is applicable to panoramic video monitoring systems. Designed specifically for the complex lighting and high electromagnetic interference characteristics of power operation sites, this invention effectively eliminates on-site noise through adaptive preprocessing, and achieves a balance between global brightness uniformity and local detail preservation through layered brightness balancing, solving the problems of incomplete brightness balancing and detail loss in power scenarios encountered by general algorithms.

This invention provides a method and system for remote meter reading and water usage information management for smart water meters. The method mainly includes: receiving raw data frames containing information such as cumulative flow values ​​and collection timestamps, and performing multi-dimensional quality checks to generate collection status identifiers; dividing the water usage interval into valid collection intervals and pending confirmation intervals based on the identifiers; calculating the measured water usage in the valid intervals and extracting abnormal features to generate initial abnormal events; generating a completion sequence for the pending confirmation intervals based on boundary flow values, historical water usage characteristics, and regional balance constraints; determining a supplementary reading control strategy and issuing supplementary reading instructions based on the completion sequence and other information; performing secondary verification of the initial abnormal events based on the supplementary data, and outputting the final abnormal result and meter reading data. This method improves the accuracy of water usage anomaly detection and the reliability of meter reading data through data quality grading, interval hierarchical management, and closed-loop verification of abnormal events.

This application discloses an anomaly identification method, apparatus, and storage medium based on time series features, used to reduce misjudgments of abnormal moments in mine roadway space. The method involves: acquiring rock mass structure data and rock mass environment data of the mine roadway space; generating interlayer stability parameters based on the rock mass structure data and rock mass environment data; generating a window data matrix using the collected data set of mine characteristic indicators; generating an interlayer crack disturbance index set based on the collected data corresponding to the interlayer stability parameters and vibration-type features, and replacing the interlayer crack disturbance index set in the window data matrix; rearranging the elements of structural stability features and mine environment features in the window data matrix according to the interlayer crack disturbance index set; generating anomaly weights for each type of mine characteristic indicator in the window data matrix; generating an anomaly weighting matrix based on the anomaly weights and the window data matrix; and determining the anomaly occurrence time in the mine roadway space based on the anomaly weighting matrix.

A kind of identification calibration method and system suitable for medium voltage distribution network fault travelling wave, for the problems that existing technology is difficult to adapt to complex and varied wave front shape, calibration precision and robustness is insufficient, the present application first adopts medium voltage distribution network travelling wave signal and pre-processes, constructs five types of wave front shape vectors;Then design multi-dimensional classification criterion to divide wave front into five categories, realize online calibration of classification threshold value through threshold value dynamic updating mechanism;Finally, for different types of wave front, corresponding adaptive calibration method is used to complete accurate calibration.The present application can effectively solve the problems of wave front calibration lag, reflection wave misselection, strong noise interference and other problems, adapt to complex working conditions of medium voltage distribution network, and have excellent engineering landing performance.

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 application provides a vehicle hibernation method, medium, vehicle and product, relates to the technical field of vehicle control, and the method comprises the following steps: generating a hibernation preparation instruction and sending the hibernation preparation instruction to an electronic control unit on the vehicle under the condition that the vehicle meets hibernation conditions; receiving confirmation information fed back by the electronic control unit based on the hibernation preparation instruction, performing state detection on the vehicle based on the confirmation information, and obtaining a detection result; wherein the confirmation information is used to indicate that the electronic control unit has completed a hibernation preparation task indicated by the hibernation preparation instruction; and if the detection result indicates that the vehicle is in a standby state, performing a whole-vehicle hibernation operation. The technical scheme of the application sends a hibernation preparation instruction to the electronic control unit first, so that the electronic control unit has sufficient time to complete the hibernation preparation task, effectively avoids the task execution risk caused by direct forced hibernation, improves the reliability and robustness of the vehicle hibernation process, and guarantees the integrity and safety of the vehicle function.

This invention discloses a fault location method for a traction power supply system feeder circuit breaker in a 1-to-2 mode, relating to the field of electrified railway traction power supply technology. By converting the cross-connecting current between the AT substation and the section substation into the up and down feeder currents of the traction substation, the first fault interval from the traction substation to the AT substation can also be located using the cross-connecting current ratio method. This method also considers the differences between Type I and Type II substations. Using this method can improve the fault location accuracy of the first fault interval, controlling the location error within 250 meters. This ensures that maintenance personnel can quickly locate the fault point, promptly handle the fault, and restore normal line operation when a fault occurs, which is of great significance for ensuring the safe, stable, and efficient operation of the railway transportation system.

The utility model provides a kind of tubular motor mechanical resistance rebound control circuit, including circuit board and motor, and is equipped with main control module, power module, motor drive module on circuit board, motor drive module includes motor interface, and the middle shaft of motor is equipped with bump block, and microswitch matched with bump block is set on circuit board, and the trigger signal of microswitch is output by motor interface, and power module is for motor, main control module and motor drive module power supply, still include resistance detection filter circuit, resistance detection filter circuit includes diode D1 and photoelectric coupler OP1, the positive pole of diode D1 is connected with the trigger signal output by motor interface, and the negative pole of diode D1 is connected with the input end of photoelectric coupler OP1 with RC filter circuit, the collector of the output end of photoelectric coupler OP1 is connected with the output end of power module by pull-up resistor R4, the collector of the output end of photoelectric coupler OP1 is connected with the signal input end of main control module, and the emitter of the output end of photoelectric coupler OP1 is grounded.

The present disclosure provides a content review method, device, equipment and medium, the method comprises: determining the first document type of the to-be-reviewed document, and performing paragraph segmentation processing on the text content of the to-be-reviewed document according to the first document type to obtain a plurality of first text blocks; the first text block is subjected to vectorization processing to obtain a first vector, and the retrieval result of the first vector in the vector database is determined, the retrieval result includes: at least one candidate vector, and the similarity score of each candidate vector and the first vector; obtain the context information of the first vector in the to-be-reviewed document, and determine the content matching value between each candidate vector and the context information; determine the target vector from the plurality of candidate vectors according to the similarity score and the content matching value; determine the paragraph semantic similarity according to the first vector and the target vector; determine the content review result according to the paragraph semantic similarity corresponding to each first vector. Therefore, the content review efficiency and accuracy can be effectively improved.

This application relates to the field of copper rod defect detection technology, and particularly to an online method and related apparatus for determining subcutaneous porosity in copper rod castings. The method includes: acquiring first detection parameters and a transmission speed; a first detection device performing a first frequency sweep operation on a continuously moving copper rod casting based on the first detection parameters to acquire first detection information in real time; determining second detection parameters of a second detection device in real time based on the first detection information and the transmission speed; the second detection device performing a second frequency sweep operation on the continuously moving copper rod casting based on the second detection parameters to acquire second detection information in real time; and determining porosity defect information based on the first detection information, the second detection information, and the transmission speed; wherein, porosity defect information refers to the location of subcutaneous pores in the copper rod casting. The online method for determining subcutaneous porosity in copper rod castings provided by this application can improve the detection accuracy of subcutaneous porosity defects in copper rod castings.

This invention discloses an easy-to-operate new energy charging pile, belonging to the field of new energy charging piles. It includes a charging pile and a charging gun. A fixed cylinder is fixedly installed on the charging pile, and a fixed component is provided on the charging gun. An adjustment component is provided inside the charging gun. The fixed component includes a handle fixedly installed on the charging gun, an elastic cylinder fixedly installed on the charging gun, and a fixed plate fixedly installed on the elastic cylinder. A connecting component is installed between the fixed plate and the charging gun. A plug is slidably installed through the fixed plate, and a cylinder is fixedly installed on the plug. This design allows the operator to adaptively adjust the tilt angle of the plug according to needs. Simultaneously, the pushing component effectively ensures that the plug on the charging gun remains parallel to the charging port during insertion or removal, improving contact and effectively reducing mechanical wear.

This invention relates to the field of visual monitoring technology for IoT devices, and discloses an AI-based image detection method, system, and storage medium for IoT. The method synchronously receives image and environmental parameter data streams, performs temporal slicing on the image stream, and extracts deep visual features from the current slice. The environmental data stream is decomposed into waveforms, and corresponding environmental state segments are extracted based on image timestamps. A dynamic difference spectrum is generated by calculating the differences between current and past image features, and visual features are coupled and encoded with environmental segments to obtain enhanced visual representations. Using both as inputs, a cascaded diagnostic inference engine is driven to perform anomaly localization, pattern matching, and defect inference, ultimately outputting detection conclusions. This method can capture gradual changes in device status and achieve more accurate fault diagnosis under complex environmental fluctuations.

The application discloses a video slicing method and device based on multi-dimensional features. The method comprises the following steps: obtaining a video to be sliced; extracting multi-dimensional features of the video to be sliced according to a preset interval, and adaptively determining dynamic fusion weights of the multi-dimensional features based on an attention mechanism to fuse the multi-dimensional features and obtain comprehensive features of the video to be sliced; determining the similarity of the comprehensive features of adjacent intervals of the video to be sliced according to the preset interval, determining key nodes of the video to be sliced according to the similarity, and completing video slicing of the video to be sliced based on the key nodes to obtain a target sliced video. By extracting multi-dimensional features, determining dynamic fusion weights of the multi-dimensional features for fusion to obtain comprehensive features, the content-independent defects caused by fixed-length slicing are solved, the limitations of single-dimensional feature slicing are overcome, the slicing integrity and accuracy are improved, and manual intervention is not required, thereby improving the operation efficiency.

The application discloses a full-life-cycle security management and control system based on data grading. In the data generation, storage, transmission, use, sharing and destruction stages, the data object content features, access subject information, operation behavior records and environment information are collected to construct a unified life-cycle data object set; the data objects are subjected to feature coding and a granular ball clustering method is used to generate a granular ball set; based on the granular ball structure, sample sensitive features are subjected to compression calculation to obtain a granular ball sensitivity representation; the granular ball sensitivity is subjected to grading by using a shadow set model to divide into a high determination zone, a shadow zone and a low determination zone; the granular ball in the shadow zone is subjected to recursive subdivision to obtain a stable grading result; and a mapping relationship between the granular ball and a security policy is established according to the final grading result, and access control, transmission protection, storage protection, use audit, sharing control and destruction disposal policies are executed in different stages of the data life cycle to realize the graded security management and control of the data full life cycle.

This invention relates to the field of photovoltaic power plant fault diagnosis technology, and particularly to a photovoltaic power plant fault diagnosis method and system based on multi-source data fusion. The method includes the following steps: a data acquisition step, periodically collecting multi-source monitoring data from the photovoltaic power plant; a data processing and feature extraction step, preprocessing the multi-source monitoring data; a hierarchical collaborative diagnosis step, constructing a hierarchical diagnostic model from the power plant system level to the component branch level based on the topology of the photovoltaic power generation system; and a fault root cause association and output step, based on the fault determination results, associating and fusing feature evidence from different data sources to perform fault root cause reasoning and analysis. This method and system can improve the comprehensiveness and early warning capability of fault diagnosis, enhance the adaptability and intelligence level of the diagnostic model, deepen fault root cause localization and guide precise operation and maintenance, provide precise maintenance strategy guidance for operation and maintenance personnel, reduce operation and maintenance costs, and improve power generation efficiency.

This invention discloses an intelligent projection positioning and drilling accuracy control system for blast holes at tunnel faces, belonging to the field of tunnel drilling and blasting construction technology. It aims to solve the technical problems of inaccurate blast hole positioning and large drilling direction deviations in existing tunnel face systems, leading to low construction efficiency. The key technical points are: the control system includes a structured light projector mounted on a tunnel drilling and blasting trolley, at least two industrial cameras, a fiber optic shape demodulation module, and a controller. A fiber optic shape sensing unit is installed inside the drill rod at the end of the drill arm of the drilling and blasting trolley; the structured light projector projects structured light, the industrial cameras acquire binocular images, the fiber optic shape demodulation module calculates the curvature and torsion angle sequence of the sensing unit, and the controller controls the drill arm drive mechanism to correct the drill bit position and direction through 3D reconstruction, coordinate comparison, and real-time deviation adjustment. This invention achieves intelligent positioning and drilling accuracy control of blast holes at tunnel faces, improving the accuracy and efficiency of tunnel drilling and blasting construction.

The application relates to the technical field of household appliances, and discloses a cleaning brush and a control method thereof. The cleaning brush comprises a main machine, a handle and a machine head. The machine head is connected with the main machine and comprises a water tank and brush hairs. Cleaning medium is arranged in the water tank, and the brush hairs are arranged at the bottom of the water tank. An atomizing water spraying device is arranged at the bottom of the water tank and communicates with the inside of the water tank. The other end of the atomizing water spraying device is provided with a nozzle. The atomizing water spraying device is used for atomizing the cleaning medium and spraying the atomized cleaning medium to a surface to be cleaned and the brush hairs. Compared with the related art, the water tank and the atomizing water spraying device are integrated in the brush head, so that an additional handheld water pipe, a shower for humidification or frequent wetting of the brush hairs is not needed, the cleaning operation process is simplified, and the use convenience is remarkably improved.

The application relates to the technical field of radar electronic countermeasure, in particular to a radar deceptive jamming dragging success rate monitoring method and system; the method comprises the following steps: obtaining target observation track data recorded by a radar and real track data of the target; for any moment in the jamming attempt process, judging whether the jamming dragging at the moment is effective; for any moment, in response to the effective jamming dragging at the moment, confirming the moment as a jamming moment; for any jamming attempt, counting the duration that the distance deviation corresponding to the effective jamming moment in the operation is greater than the spatial error threshold as a continuous duration, and in response to the continuous duration being greater than a preset duration threshold, considering that the jamming attempt dragging is successful; counting the number of times of dragging success in a preset evaluation period, and taking the proportion of the number of times of dragging success to the total number of jamming attempts in the evaluation period as the dragging success rate. The application has the effect of improving the monitoring accuracy of the dragging success rate.

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.

This utility model relates to a dual power supply switching circuit and a dual power supply circuit, belonging to the field of high-voltage switch control technology. The switching circuit includes: a coil of a first contactor and a normally closed contact of a second contactor connected in series to the main power supply line between the main power supply and the electrical load; a normally open contact of the first contactor connected in series on the main power supply line; a coil of the second contactor and a normally open contact of a time relay connected in series to the backup power supply line between the backup power supply and the electrical load; a normally open contact of the second contactor connected in series on the backup power supply line; a coil of an undervoltage relay connected to the main power supply line; and a normally closed contact of the undervoltage relay and a coil of the time relay connected in series to the backup power supply line. This utility model, by using an undervoltage relay and a time relay, reduces frequent switching between main and backup power supplies, and has a simple circuit structure, low cost, and is easy to maintain.

This invention relates to a multidimensional feedback-based interactive nebulizer inhalation system for children, comprising: a flow regulation component having a dosing state and an blocking state; a detection module for acquiring vital sign monitoring data; a feedback execution module including an interactive prompting unit and a drive unit; and a control module communicatively connected to the detection module and the feedback execution module. The control module is configured to execute the following processing flow: receiving vital sign monitoring data to assess airway safety risks and nebulization operation compliance respectively; when there is an abnormal airway safety risk, generating a collaborative intervention command: the command drive unit switches the flow regulation component to the blocking state and simultaneously controls the interactive prompting unit to output soothing interactive information; when there is no abnormal airway safety risk, controlling the interactive prompting unit to output interactive information for action correction or positive guidance based on the compliance assessment results.

This disclosure provides a filtering circuit for an onboard microphone in an engineering vehicle. The circuit includes a communication main control chip, an audio amplification module, a signal biasing module, and a filtering module. The audio amplification module consists of a signal amplification switch, a coupling capacitor, and a first voltage divider resistor. The coupling capacitor connects the microphone's positive input terminal to the control terminal of the signal amplification switch. The first terminal of the signal amplification switch is connected to the input terminal of the filtering module, and the second terminal is grounded. The signal biasing module connects the bias signal control terminal of the communication main control chip to the control terminal of the signal amplification switch. The output terminal of the filtering module is connected to the microphone signal input terminal of the communication main control chip. This circuit adds precise signal biasing and effective filtering modules to a traditional onboard microphone circuit, improving audio signal quality and reducing signal interference and noise. This meets the audio acquisition needs of engineering vehicles in complex environments, improving operational efficiency and communication accuracy.