17results about How to "Realize visual display" patented technology

The application discloses a kind of network unmanned aerial vehicle inspection achievement automatic back transmission and defect identification method, it is related to power distribution network inspection technical field.The purpose is to solve the problems of low efficiency, fault response lag, data transmission without security and defect identification relying on artificial in traditional manual inspection.The method comprises: unmanned vehicle carries unmanned aerial vehicle and hangar drives to parking point, unmanned aerial vehicle takes off and carries out inspection and collects achievement data;After unmanned aerial vehicle returns, unmanned aerial vehicle platform processes and transmits achievement data to unmanned aerial vehicle management platform;Management platform uses AI image recognition technology to identify defects in data, generates identification results;Finally, management platform synchronizes identification results to power grid digital brain platform, and is associated with equipment operating state storage.The application realizes the full-process automation and intelligentization of distribution network inspection, greatly improves the inspection efficiency and the accuracy of data processing, optimizes the fault response mechanism, and provides strong support for the intelligent operation and maintenance of distribution network line.

The present application relates to the technical field of limited space safety management, and particularly relates to a limited space import and export state intelligent supervision system and method, which comprises an intelligent lock module, an authorization control module, a state monitoring module, a data transmission module and a cloud platform management module; the intelligent lock module controls the opening and closing state of the import and export, the authorization control module configures the lock opening permission, authorization validity and operation frequency limit, the state monitoring module collects the lock opening and closing state, lock opening operation record and equipment operation parameter in real time, the data transmission module realizes the data interaction between the intelligent lock module and the cloud platform management module, and the cloud platform management module has the functions of permission configuration, state visual monitoring, abnormal alarm, operation record storage and traceability analysis; the system solves the technical problems of large supervision blind area, information lag, inaccurate authorization and untraceable state in the traditional limited space import and export management, realizes the whole-process digital management and control of the import and export state, and improves the safety coefficient of limited space operation.

The invention belongs to the technical field of safety maintenance, and particularly relates to a predictive maintenance method and system for a bridge crane. The invention discloses a predictive maintenance method for a bridge crane. The method comprises the following steps: monitoring and collecting state data of the bridge crane in real time through a sensor, preprocessing each piece of data, and converting the data into time sequence data; in combination with a risk assessment and fault prediction model, according to historical data and current data, assessing the remaining service life, the fault occurrence probability and the health degree of each piece of equipment; performing quantitative evaluation on the monitoring result of the equipment by using a multi-parameter weighted scoring principle according to the state judgment evaluation model, and dividing the health state of the equipment according to a scoring result; and the evaluation result is displayed on the HMI in a chart form, and corresponding maintenance measures are sent to maintenance personnel for optimization according to the result. The operation state of the bridge crane is effectively monitored and evaluated, equipment faults are predicted and prevented, and the reliability and safety of the equipment are improved.

The invention discloses an extracorporeal shock wave treatment parameter generation method and system based on image semanteme, and the method comprises the following steps: S1, inputting an ultrasonic and / or X-ray image, and carrying out the preprocessing of the image; s2, image features are extracted, and focus information is analyzed; a lightweight medical image model, a multi-modal model and a clinical reasoning big language model are adopted, image features are converted into structured image features, and structured focus information is reasoned; s3, in-vitro shock wave treatment parameters are generated, and real-time compliance verification is carried out; and S4, visually displaying image labels, treatment parameters and compliance prompts. Therefore, through the collaborative architecture of the lightweight medical image model and the clinical reasoning large language model, the unstructured image is converted into the structured focus feature, the treatment parameter is generated, the treatment accuracy is improved, the double-image information can be fused, and the treatment parameter accuracy is further improved.

The invention discloses a safety management system based on an intelligent safety helmet, particularly relates to the field of intelligent safety helmets, and comprises an intelligent safety helmet terminal, an electronic fence module, a cloud data center and a mobile management terminal. According to the invention, through cooperation of the positioning module and the electronic fence, automatic and accurate attendance checking and regional compliance monitoring are realized; the wearing state of the safety helmet is monitored in real time through the human body induction sensor, and uncapping alarm is achieved; all data are uploaded to a cloud data center through the Internet of Things module for unified management and analysis, the problems that traditional manual attendance checking is low in efficiency, personnel positions and states cannot be monitored in real time, safety supervision is passively lagged and the like are solved, and active, intelligent and whole-process safety management of field operation personnel is achieved.

The invention provides a brain region association display method and device, equipment and a storage medium. The method comprises the steps that a segmented image representing brain region space information is displayed; displaying segmented images obtained by segmenting each brain region; in response to an input operation of a user, determining a target spot corresponding to the input operation and a target spot position of the target spot, the target spot being a brain region corresponding to the input operation; determining each related brain region of the target spot, connection information of the target spot and each related brain region, and a brain region position of each related brain region; and based on the position of the target spot, the connection information and the brain region position of each related brain region, displaying the target spot and each related brain region on the segmented image in an associated manner. According to the embodiment of the invention, the connection information of the related brain region related to the target spot is determined and displayed, so that the neural signal conduction path is visually displayed.

The invention discloses a multi-source and multi-sink matching optimization method and system, electronic equipment and a storage medium, and belongs to the technical field of CO2 capture, storage and utilization. According to the method, a system CO2 source-sink matching cost model is established based on capture engineering parameters and transportation engineering parameters, then cost optimization is performed on the system CO2 source-sink matching cost model by using a particle swarm optimization algorithm, a source-sink matching optimization scheme is obtained, and finally, the optimization scheme and terrain and geological information are visually displayed based on a digital twinborn technology. According to the process, real-time dynamic display of static data such as the matching cost, the storage amount of each CO2 sink and the source-sink matching path is achieved, the most appropriate source-sink matching result is achieved by integrating factors such as actual geological conditions, the matching feasibility and efficiency are further improved, and reliable technical support is provided for implementation of the CCUS process.

This invention relates to the field of image data processing technology, and discloses a high-throughput visualization analysis method and system for corn kernel and embryo volume based on deep learning. It can obtain at least one folder according to a user-defined file input path, each folder containing a sequence of grayscale images obtained from CT slices of corn kernels taken along a horizontal direction. Based on a parallel pipeline processing mode, a set batch size, and a deep learning segmentation model, the grayscale image sequences in the folders are preprocessed and segmented to obtain a binary segmentation mask sequence for kernels and a binary segmentation mask sequence for embryos. This allows for the determination of kernel quantity and volume-related data between kernels and embryos, and the visualization output of the relevant images and data. This invention can complete high-throughput processing of corn kernel CT slice sequences, as well as non-destructive measurement and visualization of kernel and embryo volume-related data, effectively improving measurement efficiency.

This invention discloses an intelligent sorting method, system, storage medium, and device for energy storage cells, belonging to the field of lithium battery screening technology. It includes defining key parameters and identifying data sources for energy storage cells to determine key parameters for sorting; collecting key process parameter data of energy storage cells through an intelligent data source scheduling algorithm; and filtering the collected key process parameter data using a pre-established multi-parameter sorting model to obtain qualified energy storage cells. This invention achieves dynamic acquisition, intelligent screening, and visual display of cell parameters, and improves screening accuracy and speed through algorithm optimization and model training, thereby meeting the high standards of consistency and process requirements in lithium battery module production.

Embodiments of the present disclosure disclose a power transmission line deployment method and device based on a three-dimensional model, an equipment and a medium. A specific implementation of the method comprises: acquiring a remote sensing atlas and a road network map; generating regional landscape types and weather information according to the remote sensing atlas; selecting a ground feature recognition model; generating a ground feature recognition result using the ground feature recognition model; querying a corresponding power transmission line construction case set; constructing a power transmission line deployment model supporting visual editing for the target region according to the power transmission line construction case set and the ground feature recognition result; and executing power transmission line construction for the target region and anomaly detection in the construction process according to the power transmission line deployment model. The implementation can realize visual display and editing of various virtual lines in the target region by constructing a power transmission line deployment model, intuitively obtain regional content and power transmission line deployment status, and assist in the deployment of power transmission lines, greatly improving the deployment efficiency of power transmission lines.

An ultrasonic water meter includes a water pipe with an inlet and an outlet at both ends. A control valve is installed inside the water pipe to control the flow between the inlet and outlet. The meter also includes a controller, which comprises a first ultrasonic sensor and a second ultrasonic sensor. The first and second ultrasonic sensors are disposed inside the water pipe and spaced apart. The first and second ultrasonic sensors cooperate to detect the flow rate within the water pipe. The controller further includes a housing containing a control board connected to the first and second ultrasonic sensors and an opening / closing element controlled by the control board to open and close the control valve. The control board controls the opening / closing element to close the control valve when the flow velocity in the water pipe changes. The advantages of this invention are: this technical solution effectively achieves leakage protection by monitoring flow velocity changes in real time and automatically closing the control valve through the control board, thus avoiding water waste and equipment damage.

This invention discloses a method, apparatus, storage medium, and electronic device for managing disk volume information, relating to the field of computer technology. The method includes: acquiring attribute information of at least one disk volume, wherein the attribute information includes at least a volume label and an address; determining a disk partition corresponding to the at least one disk volume based on the address, wherein the disk partition is composed of multiple disk volumes; constructing a first coordinate system based on the disk partition, and displaying the volume label in the first coordinate system to obtain a display result; and managing the attribute information based on the display result. This invention solves the technical problem of low disk management efficiency caused by the inability to visually display disk volume attribute information in existing technologies.

The application discloses a stomach function regulating system based on stomach rhythm and stomach-brain coupling, comprising a stomach function regulating device, a client and a cloud, wherein the client is used for controlling the start and end of the stomach function regulating device, and is also used for obtaining stomach electric signals and brain electric signals collected by the stomach function regulating device for processing and analysis to obtain stomach rhythm parameters and stomach-brain coupling parameters of a current period, and then obtaining vagus nerve stimulation parameters of a next period through the stomach rhythm parameters of the current period; the stomach function regulating device is used for applying vagus nerve stimulation according to the vagus nerve stimulation parameters, and is also used for collecting the stomach electric signals and the brain electric signals; and the cloud is used for storing historical use records, wherein the historical use records include the vagus nerve stimulation parameters, the stomach rhythm parameters and the change conditions of the stomach-brain coupling parameters. The application feeds back and guides the vagus nerve stimulation parameters through the change of the stomach rhythm, and controls the stomach function regulating process by monitoring the stomach-brain coupling parameters in real time.

This utility model discloses an environmentally friendly packaging box that is easy to display, belonging to the technical field of environmentally friendly packaging boxes. The key technical points include a box body, a lid mechanism snapped onto the surface of the box body, a movable plate movably connected to the inner wall of the lid mechanism, a spring provided on the inner wall of the lid mechanism, a limit rod provided at the top of the spring, and the surface of the limit rod snapping onto the inner wall of the movable plate. The lid mechanism includes a cover body, a connecting component fixedly connected to the inner wall of the cover body, and a biodegradable PET component fixedly connected to the inner wall of the connecting component. This solves the problem that existing environmentally friendly packaging boxes often use simple film or hollow designs for the window area, lacking a reliable sealing structure, which easily allows dust and moisture to enter the box and contaminate the goods. Furthermore, the overall sealing performance of the box body decreases significantly after the window is opened, making it difficult to ensure the storage environment of the goods and to simultaneously meet the needs of product display and storage protection.

The application relates to the technical field of data processing and human-computer interaction, and particularly discloses a classroom teaching target regulation and control system and method based on cognitive classification. The system comprises a teaching target input module, a cognitive level labeling module, a cognitive state matrix construction module, a cognitive distribution analysis module, a dynamic visualization module, an intelligent feedback module and a data storage module. The application converts a teaching target text into a structured data unit containing cognitive level coding, constructs a cognitive state matrix, dynamically displays the activation state of each cognitive level through a color mapping mechanism, quantitatively evaluates the cognitive structure based on a high-order cognitive proportion index, outputs a judgment result when a preset threshold is met, and generates an optimization suggestion when the preset threshold is not met. The application realizes the structured modeling of a teaching target system, the automatic analysis and real-time visual feedback of cognitive distribution, and improves the scientific nature of classroom teaching design.

This invention discloses a port intelligent warehousing management system, comprising a warehousing environment perception module, an intelligent warehousing execution module, a risk assessment and safety control module, a data interaction and collaboration module, and a visualization decision-making module, all connected by communication. The warehousing environment perception module collects image data and status information of the port warehousing environment; the intelligent warehousing execution module executes cargo warehousing operations; the risk assessment and safety control module performs dynamic risk assessment and safety early warning for port warehousing; the data interaction and collaboration module integrates warehousing equipment and intelligent terminals, and synchronizes data; and the visualization decision-making module provides a visual display and interactive operation of warehousing operation processes, equipment operating status, and risk warning information. It enables intelligent control, visual management, and safe operation of port warehousing, improving warehousing efficiency, reducing operating costs and safety risks, and meeting the high-efficiency, intelligent, and safe requirements of modern port logistics.

This invention provides a liquid level calibration and detection control circuit and a liquid level detection system. The detection circuit includes a calibration control module, a detection control module, a control chip, and a touch screen. The input terminal of the detection control module is connected to the output terminal of the liquid level detection module, the output terminal of the detection control module is connected to the first communication interface of the control chip, the second communication interface of the control chip is connected to the touch screen, the third communication interface of the control chip is connected to the input terminal of the calibration control module, and the output terminal of the calibration control module is connected to the input terminal of the liquid level detection module. Through the coordinated operation of the above modules, this application effectively solves the problems of cumbersome calibration process, lack of real-time visualization in monitoring, and untimely identification of abnormal liquid levels in liquid level detection. In the event of water shortage or overflow in the water tank, the circuit can quickly identify the abnormal state and prompt the user through the touch screen, thereby improving the efficiency and accuracy of liquid level detection.