151results about How to "Lower operating threshold" patented technology

The invention discloses a hydraulic structure risk assessment method based on a multilevel dynamic fuzzy Bayesian network, and relates to the technical field of hydraulic engineering safety monitoring, and the method comprises the following steps: recognizing risk factors of a hydraulic structure, and building a hierarchical hydraulic structure risk assessment system; a Bayesian network risk probability model is constructed based on a risk assessment system, nodes in the model correspond to indexes of each layer of the assessment system, and edges among the nodes are connected according to a causal relationship among the indexes. According to the invention, accurate and dynamic management and control of hydraulic structure risks are realized. In the aspects of data processing and risk judgment, multi-source monitoring data such as displacement, seepage and water level are classified and integrated according to an index layer, a criterion layer and a target layer through hierarchical evaluation system design, the isolation problem of traditional single data monitoring is avoided, the data collaboration value is fully mined through logic association among the layers, and the risk judgment accuracy is improved. And the risk assessment does not depend on one-sided information any more.

The invention discloses an unmanned aerial vehicle natural language control and interaction method and system based on a multi-mode large model, and belongs to the field of unmanned aerial vehicle interaction.The method comprises the steps that a current environment image and a user voice instruction of an unmanned aerial vehicle are obtained and converted into a text; performing intention classification on the text instruction information, and judging whether the current task is a flight control task or a question and answer interaction task; if the task is a flight control task, inputting the environment image and the text instruction into a multi-mode large model for vision-language joint reasoning, and generating a structured flight control instruction; if the task is a question-answer interaction task, performing knowledge retrieval by using the large model to generate question-answer information and outputting voice; adjusting the flight state of the unmanned aerial vehicle according to the structured instruction; and after the task is completed, the unmanned aerial vehicle is controlled to enter an obstacle avoidance self-stabilization mode and waits for a next instruction. According to the method, the mapping from the unstructured natural language to the bottom layer action of the unmanned aerial vehicle is realized, and the intelligent level of man-machine interaction and the flight safety in a complex environment are effectively improved.

The invention discloses a video content retrieval method and device based on television system voice interaction and a terminal, and relates to the technical field of video processing, and the method comprises the steps: when a video is played for the first time, extracting a picture frame from the video at a preset frequency, converting the picture frame into a multi-dimensional image feature vector and a corresponding video timestamp, and carrying out hierarchical storage in a database, constructing vectorized data containing visual semantic information; obtaining a voice retrieval instruction, performing intention recognition and semantic understanding, extracting a detection keyword, and generating a multi-dimensional retrieval feature vector; calculating a matching degree between the multi-dimensional retrieval feature vector and a multi-dimensional image feature vector of a video picture frame stored in a database, and screening out picture frames of which the similarity is higher than a preset similarity threshold to form a retrieval candidate matching set; and determining matched picture playing. The video content retrieval method is efficient, accurate and high in interactivity, and retrieval experience and operation efficiency of the user in the video watching process are remarkably improved.

The invention provides a non-contact on-line measuring device and method for excavator structural members, a double-scanning system cooperation mode is adopted, a tracker and a ball cage scanner are respectively used on two sides of a detection device, the ball cage scanners are installed on a cooperative robot to execute automatic scanning actions, and meanwhile, the robot is driven by the robot to move. The tracker and the robot are both installed on the linear guide rail, displacement operation can be carried out, the scanning and collecting range of the system is expanded, and therefore full scanning work of the large structural part is completed. The two scanning systems scan and collect the structural member from the left side and the right side at the same time, then data are spliced together, a three-dimensional point cloud model of the structural member is obtained, size information is analyzed and extracted, a detection report is generated, communication with a workshop data management system is carried out, and measurement data are integrated and applied.

The application provides a kind of operation and maintenance scene visualization report generation method and system based on natural language question and answer, belongs to intelligent operation and maintenance technical field, method includes: receiving the natural language query input by user;Through the pre-training of large language model and the preset operation and maintenance terminology dictionary, the natural language query is parsed and entity is extracted, and the entity-field association table containing demand type is generated;According to demand type and semantic feature, the query type is judged to be data query or visual query;Based on the judgment result, generate structured query language sentence or visual instruction;Query is executed to the interface business database to obtain raw data;Raw data is processed and analyzed to obtain analysis result data;Call data feature adaptation algorithm to match chart type, generate and output visual report.The application realizes the full-link automation from natural language input to visual report output, reduces the operation and maintenance data interaction threshold, improves the operation and maintenance data processing efficiency and accuracy.

The invention provides a control method and device of electronic equipment, the electronic equipment and a storage medium. The method comprises the following steps: receiving click operation of a user on a virtual icon in a main interface of the electronic equipment; jumping to a corresponding interactive interface according to the type of the virtual icon clicked by the user, and outputting corresponding operation guidance information according to different interactive interfaces, the operation guidance information being used for prompting the user to input voice description information of a target object; when a user inputs voice description information of a target object, a voice receiving module of the electronic equipment is controlled to acquire the voice description information, and a target image is generated through a preset text graph model based on the voice description information; and controlling the electronic equipment to display the target image on a preview interface. The electronic equipment can provide various interaction modes for conveniently realizing voice image generation, supports a user to freely describe a target object to create an image, improves the use flexibility and intelligence, and meets the diversified use requirements of the user.

The invention provides a human-computer interaction method, electronic equipment and a storage medium, relates to the technical field of human-computer interaction, and is used for reducing user operation steps and improving user experience. The method comprises the following steps: in response to detection of a selection operation of a user on data on a current display screen, obtaining data content selected by the user, and receiving an operation instruction input by the user; calling the first large language model to perform processing operation indicated by the operation instruction on the data content to obtain a processing result of the data content; and displaying the processing result on the current display screen.

The invention provides a cumin inter-row harvesting device suitable for a cotton cumin interplanting mode. The cumin inter-row harvesting device comprises a divider, a harvesting and conveying device, a walking device and a control system. The walking device has an adjustable transverse working width and is used for crossing multiple rows of cotton and carrying out cross-row harvesting on multiple rows of cumin among the rows; the dividing device is arranged below the walking device and used for gathering cumin in clusters and conveying the cumin backwards. The harvesting and conveying device is distributed at the lower rear part of the dividing device and is used for cutting the divided and gathered cumin seeds and tiling the cumin seeds backwards in a harvested area; the control system is electrically connected with the dividing device, the harvesting and conveying device and the walking device and used for controlling dividing, cutting and conveying and advancing steering. The power of the whole machine is provided by a range-extended generator, and remote control is realized through a wireless remote control unit. On the premise that cotton is not damaged, cross-row efficient harvesting of multiple rows of cumin can be achieved, the structure is compact, operation is convenient and fast, labor intensity is remarkably reduced, and harvesting efficiency is improved.

This utility model relates to the technical field of public facility water supply equipment, and discloses a negative pressure-free water supply device with water purification, including a flow stabilizing tank. A first fixing block is fixedly connected to the bottom of the flow stabilizing tank, and a second fixing block is fixedly connected to the bottom of the first fixing block. A permanent magnet is rotatably connected to the inner wall of the second fixing block. A housing is fixedly connected to the side of the second fixing block away from the first fixing block. A storage battery is fixedly connected to the outside of the housing. A rotating shaft is rotatably connected inside the housing. A fixing column is fixedly connected to the outer wall of the rotating shaft, and a fan blade is fixedly connected to the outer wall of the fixing column. In this utility model, an emergency power supply is achieved by using the kinetic energy of water flow through a generator to ensure stable water supply. The water purification component improves the quality of the effluent through multi-stage filtration to meet safe water use requirements. Quick disassembly of components simplifies maintenance operations and reduces operating costs. The synergy of these three aspects significantly improves the practicality and economy of the equipment.

The invention relates to the technical field of three-dimensional reconstruction, in particular to a rapid three-dimensional reconstruction system based on deep learning, which comprises a data layer module used for inputting multi-view image data, configuring image sizes, calculating equipment parameters and performing read-write and management on output point clouds, grids and depth maps; the algorithm layer module is used for performing calculation based on a three-dimensional reconstruction algorithm, including depth estimation, point cloud generation, global alignment and grid reconstruction; the business logic layer module is used for coordinating all the modules to execute full-process automatic reconstruction and constructing a full process from multi-view image data input to model output; the presentation layer module is used for providing an interactive interface for the user; the communication layer module is in communication connection with the data layer module, the algorithm layer module, the business logic layer module and the presentation layer module and used for completing data transmission and state synchronization among the modules, and the problems that in the prior art, equipment cost is high, real-time performance is poor, efficiency is low and precision is insufficient are solved.

The application discloses a kind of assetbundle resource batch packing and step-by-step loading system and method, the system includes: original data layer: the basic relationship of core data is described;Interaction data layer: from the perspective of graphical interface, the relationship of original data class is described;Loading data layer: from the perspective of loading process, the data after packing is completed is described;The system is completed through original data layer, interaction data layer and loading data layer to the parameter definition and relationship construction in the process that material data is loaded from original resource to AssetBundle resource again to the resource in actual scene.This system realizes the packing loading process of assetbundle resource by input module, packing module and loading module.The application improves the packing efficiency of resource by the close coupling of graphical packing operation interface, packing process and loading process.

The application discloses an image processing model training method, an image processing method and device, and belongs to the technical field of image processing. The model training method comprises the following steps: acquiring a training data pair of image training data, the training data pair comprising a first image processing parameter, a first original image, a second original image, a first reference image and a second reference image; wherein the first reference image is obtained by processing the first original image based on the first image processing parameter, the second reference image is obtained by processing the second original image based on the first image processing parameter, and the first original image and the second original image are face images corresponding to a same shooting object; performing encoding processing on the training data pair to obtain a first face feature, a first makeup feature and a first instruction feature; and training an initial image processing model based on the first face feature, the first makeup feature and the first instruction feature to obtain a target image processing model.

This utility model relates to the field of printer consumables technology and discloses a printer drum that is easy to refill with toner. It includes a drum body, with inserts fixedly connected to both sides of the rear upper surface of the drum body. An upper end cover is attached to the outer walls of the two inserts. A disassembly groove is formed on the rear upper surface of the upper end cover, and sliding grooves are formed on both sides of the inner sidewall of the disassembly groove. This utility model uses a quick-release structure composed of a slider, pin, and spring, combined with a lever operation, to achieve quick disassembly and installation of the upper end cover without the need for screwdrivers or other tools. This avoids the risk of stripped screws or damage to the end cover, lowers the operational threshold, and improves operational convenience. The ring vibrator and vibration motor on the outside of the toner tube generate vibration during toner refilling, breaking up clumps of toner without the need for manual tapping, preventing toner spillage and contamination. Simultaneously, the ring structure of the ring vibrator can evenly transmit vibration force, avoiding excessive local vibration that could damage the internal photosensitive components.

The application provides a portable magnetic resonance imaging-based brain disease remote diagnosis system, and belongs to the cross field of medical imaging and remote medical treatment.The system comprises a portable magnetic resonance imaging device, a remote data transmission and cooperation network and a remote diagnosis and AI auxiliary workstation; wherein the portable magnetic resonance imaging device is arranged in a primary medical institution, is used for performing standardized scanning on a patient's brain disease under a low-field magnetic field, and acquires brain image data of the patient; the remote data transmission and cooperation network is used for connecting the device end and the diagnosis end, and is used for transmitting the brain image data to the remote diagnosis and AI auxiliary workstation; and the remote diagnosis and AI auxiliary workstation is used for performing brain disease analysis based on the brain image data and generating a structured report, and the report is returned to the primary medical institution.The application combines remote medical treatment and on-site magnetic resonance scanning, optimizes medical resources, and improves diagnosis effect.

The invention discloses a rape pod detection and counting method and system based on YOLOv8, and the method comprises the steps: constructing a rape inflorescence pod image data set, and carrying out the training and testing of the YOLOv8, and obtaining a detection model with stable and standard detection precision; inputting the detected rape inflorescence silique image into the detection model, and outputting a bounding box and confidence coefficient for calibrating the rape silique by the detection model; and sorting the bounding boxes, calculating an overlapping degree between two adjacent bounding boxes, screening the bounding boxes according to the overlapping degree, and counting the number of the bounding boxes reserved by screening to obtain the total number of rape inflorescence siliques. The detection model obtained by the method meets the detection requirements of small-target rape pods, the problems of missing detection and repeated counting are solved through bounding box screening, and the counting accuracy is high. According to the system, full-process automation of input-detection-counting-output is achieved, the operation threshold is lowered, and the actual use requirement of a user can be better met.

This application discloses a coffee tamper for use with a coffee funnel. The tamper includes: an upper body having a through first chamber with ball grooves formed in the wall of the first chamber; a pressure plate surrounding one end of the upper body, the pressure plate having a second chamber with a plurality of graduated grooves arranged vertically on the wall of the second chamber; a ball assembly disposed within the ball grooves and capable of engaging with the graduated grooves as the upper body moves downwards vertically; and a lower body surrounding the other end of the upper body for connecting the upper body and the pressure plate. This application features a reasonable structural design, achieving precise pressure control and multi-flavor extraction through the innovative design of the ball assembly-gradient groove feedback system and reset structure.

The invention discloses a chamfering device for nut machining, and relates to the technical field of nut machining equipment. The device comprises a base, a supporting table, a supporting frame, a clamping assembly and a chamfering tool bit assembly, the base is provided with the supporting table and a collecting drawer, the supporting table is matched with a transverse clamping plate assembly through a two-way screw and a sliding block, the supporting frame is provided with a longitudinal clamping assembly, and three-dimensional clamping is formed; the two ends of the base are connected with a lifting plate through a lifting mechanism, a chamfering tool bit is driven by a double-screw and servo motor to achieve multi-dimensional adjustment on the lifting plate, and a rotating motor drives the tool bit to machine. The clamping face is provided with a rubber anti-skid pad, a pressure sensor and a controller to integrally control the whole process. A three-dimensional clamping structure is adopted, clamping is stable, adaptability is wide, a tool bit can be accurately adjusted in multiple dimensions, the automation degree is high, the nut chamfering precision and production efficiency can be effectively improved, meanwhile, a waste collecting drawer and pressure sensing protection are arranged, the machining environment and product quality are optimized, and the nut chamfering machine is suitable for batch machining of nuts of various specifications.

This utility model discloses a portable seedling planting device for rural agriculture, relating to the field of agricultural technology. The portable seedling planting device includes: a drilling cylinder with a drilling component on its inner side for drilling holes during seedling planting; a fixing plate with a seedling pushing component on its inner side for pushing seedlings out one by one for planting; and a water storage tank with a water replenishment component on its inner side for watering seedlings after planting. The drilling component includes a knob with a connecting rod welded to its bottom, a threaded head fixedly connected to the bottom of the connecting rod, and a drill bit fixedly connected to the bottom of the threaded head. This utility model combines drilling, seedling pushing, and watering in one device, greatly improving farmers' planting efficiency, reducing their workload, and is easy to operate and portable.

This invention discloses a fully automated atmospheric and topographic radiometric correction method and device for high-resolution remote sensing imagery, belonging to the field of remote sensing science and technology. The method includes: constructing a fully automated batch processing framework; developing an atmospheric correction module based on the 6S radiative transfer model to automatically retrieve atmospheric parameters and eliminate their influence; and developing a topographic radiometric correction module based on the digital elevation model (DEM) and VECA model to compensate for radiometric distortion caused by complex terrain. The key innovation lies in constructing a joint correction framework and integrating a geomorphic feature recognition algorithm, which can automatically identify and select to execute either single atmospheric correction or a combined atmospheric-topographic correction process based on the degree of topographic relief in the image. This invention achieves fully automated batch processing from data input to result output, requiring no manual intervention, significantly improving the processing efficiency, intelligence level, and adaptability to different terrain scenarios in high-resolution image radiometric correction.

The present application relates to the technical field of design work display, and specifically relates to an environmental design work display system, which comprises a model extraction module, a three-dimensional laser scanner is used to scan a design work model, point cloud data is obtained, and a digital twin model is generated; an intelligent detection module is used to detect the digital twin model and identify design defect areas; a dynamic optimization module generates a plurality of parameter adjustment schemes for each defect area; and an interactive display module synchronously displays an original design, optimization schemes and key index comparison data in a side-by-side view, and supports a user to select and apply an optimization scheme in real time. The present application generates a digital twin model through three-dimensional laser scanning, automatically detects key parameters such as fire passage width and energy-saving heat transfer coefficient in combination with a specification database, and calculates defect severity scores, so as to realize the precision of problem positioning and the priority of sorting.

The application discloses a multi-source education data attribution analysis system and method based on a large model Function Call, and belongs to the technical field of computers. The system comprises: a multi-source data access module for constructing a unified education data warehouse; an intelligent semantic routing module for identity recognition and intent analysis; a function registration and execution module for triggering atomized analysis functions; and a comprehensive attribution analysis module for generating an attribution report in combination with a knowledge base. The method comprises the following steps: accessing multi-source education data and preprocessing, guiding the large model to identify the intent by using the prompt engineering, outputting a structured instruction to trigger the function call, and finally performing causal reasoning. The application realizes the deep fusion and accurate attribution of multi-source education data, reduces the interaction threshold, and provides a scientific basis for teaching decisions.

The application discloses a quartz piece vacuum adsorption fixing device and relates to the technical field of quartz piece processing. The quartz piece vacuum adsorption fixing device comprises an adsorption table, the adsorption table comprises a pedestal, a funnel cavity formed in the interior of the pedestal, a table plate fixedly connected to the top end of the pedestal, a mosquito coil-shaped spiral channel formed in the interior of the table plate, a catheter fixedly connected to the side surface of the table plate and in communication with the outer end port of the spiral channel, rubber through strips inserted into the spiral channel and the catheter, and a plurality of air channels uniformly formed in the interior of the table plate along the spiral path of the spiral channel, and the middle part of each air channel is in communication with the spiral channel. By selectively blocking or opening some air channels through the movement of the rubber through strips, the size range of the quartz piece to be fixed can be matched with the unblocked air channels, the type changing time of the adsorption table is greatly shortened, the equipment investment cost is reduced, and the production efficiency is improved.

The present application relates to the field of geophysics, in particular to a network user-oriented GNSS velocity field product visualization and interactive analysis method and system, which solves the problems of poor interaction flexibility, insufficient dynamic presentation effect, difficult multi-source data fusion and low deployment convenience of traditional technology in GNSS velocity field visualization. The present application efficiently caches multi-source data through the global singleton mode of the data management layer, realizes real-time capture and distribution of instructions in the interface layer and the interaction control layer, completes velocity field projection decomposition and quantitative calculation by using the core computing layer, forms a visual closed loop by combining the dynamic rendering of the visualization presentation layer, and converts the achievements into a standardized format for local saving by the result output layer. By constructing a high-interactive and lightweight analysis platform, the present application significantly improves the interactive flexibility and deployment convenience of GNSS velocity field visualization analysis.

This invention discloses a page-turning method, system, electronic device, and storage medium based on the binary search method, improving page-turning efficiency and user experience in scenarios with a large number of pages. The method includes: page-turning preprocessing: including setting intermediate variables to identify the page search range and the current page; initializing the page-turning interval and button availability: determining the overall page range of the data matrix, establishing an initial search interval, and setting the initial availability of the "forward" and "backward" buttons according to the initial page situation; iteratively executing page-turning operations and updating the search interval: the user triggers intermediate page calculation by clicking the "forward" or "backward" button, updates the search interval according to the positional relationship between the target page and the current page, and repeats this process until the target page enters the page-turning display bar; when the page-turning termination condition is reached, the iteration stops, the target page is located, and the page-turning process is terminated; the page-turning result is output, and the status of the "forward" and "backward" buttons is adjusted according to whether the page-turning boundary or upper limit has been reached.

This invention discloses a servo continuous interpolation and curve parameterization control method based on a Mitsubishi PLC system, relating to the field of CNC motion control technology. The method includes process parameter conversion and interpolation execution: The system receives user-inputted process parameters at a human-machine interface, including at least the target bending angle; the PLC main controller automatically calculates the coordinate parameters required for the motion control module to execute the interpolation motion based on a preset geometric model and the process parameters. This application lowers the operational threshold by encapsulating complex mathematical coordinate calculations within the program, allowing operators to interact only with intuitive process parameters, enabling even non-professionals to quickly and accurately debug equipment. This application also improves equipment efficiency and flexibility: intelligent continuous interpolation judgment reduces unnecessary starts and stops, increases equipment operating cycle time, and one-click switching between linear / circular modes enhances the equipment's ability to handle different processes.

The application discloses a visual Internet of Things rule arrangement method and device and medium. The method comprises the following steps: converting an input natural language into a structured text; collecting original data of a device through an Internet of Things platform, and performing standardization processing on the original data to construct a rule arrangement data set; performing multi-source feature extraction and correlation capture on the structured text and the rule arrangement data set through a pre-trained BERT-GPT Internet of Things rule model to generate an initial Internet of Things rule of a target device; performing rule node and logic operator dragging on the initial Internet of Things rule through a pre-set visual rule arrangement interface to obtain a process version Internet of Things rule of the target device; performing data simulation on the process version Internet of Things rule through a pre-set simulation tool to obtain a rule execution result of the target device; and performing optimization on the rule execution result through the BERT-GPT Internet of Things rule model according to historical operation data to obtain a final version Internet of Things rule of the target device.

This invention belongs to the field of medical materials, specifically relating to a patterned bio-barrier membrane with self-adhesive function and its preparation method. The preparation method includes: dissolving the adhesive matrix in a buffer solution, then adding reactive amino acids and a stabilizer to obtain a first mixture; adding ethanol and a hydrophobic agent to the first mixture, and stirring under heating conditions to obtain a second mixture; adding a thickener, a calcium supplement, and a reinforcing agent to the second mixture, continuing stirring, and then adding a protein precipitation reagent to precipitate the mixture, obtaining a hydrogel; covering a collagen membrane with a patterned porous mold, and adding the hydrogel to allow it to flow into the pores and solidify. This invention achieves precise adhesive loading through patterned design, combining advantages such as simple operation, reliable fixation, good biocompatibility, and high osteogenic efficiency, effectively solving the barrier membrane fixation problem in GBR technology, and is suitable for bone defect treatment in dental implant prosthesis restoration.

This invention discloses a vehicle-mounted drone video automatic shooting and generation system and method, belonging to the field of drones. The system includes: a vehicle-side component, comprising a main control unit, a data communication gateway, a vehicle and environmental status perception module, an interactive interface, and a cabin power supply interface; a drone-side component, comprising an airborne controller, a communication module, a drone status perception module, and a shooting and flight module; and a cloud-side component, comprising a cloud server. Both the main control unit and the cloud server have built-in AI engines. The main control unit is connected to the data communication gateway, the vehicle and environmental status perception module, the interactive interface, and the cabin power supply interface; the airborne controller is connected to the communication module, the drone status perception module, and the shooting and flight module; and the data communication gateway is connected to the communication module and the cloud server. This invention enables fully automatic generation of high-quality videos in outdoor mobile scenarios.

This application discloses a breast health monitoring device and system, comprising: a flexible, conforming shell with a hemispherical or near-hemispherical flexible structure for conforming to the curved surface of the breast; a rotating handle connected to the flexible shell via a rotating shaft for stepwise rotation of the flexible shell after the pressure is within the effective range and stabilized; a sensor module disposed on the skin surface of the flexible shell for collecting breast ultrasound signals, pressure signals, and temperature signals; a main control module for real-time detection based on the collected data, issuing a prompt for re-collection when the data is invalid, and uploading valid data to a terminal application when the data is valid; and an application module communicating with the main control module for displaying collected data, outputting monitoring reports, historical trend comparisons, and anomaly alerts. This application provides an easy-to-operate home breast health monitoring device that features press-to-attach, stepwise rotation, automatic data collection, and mobile phone-based reporting.

The invention discloses a traffic field AI Agent agent based on consanguinity analysis and a fine-tuning large model, belongs to the cross technical field of artificial intelligence and traffic data processing, and adapts to traffic core business scenes such as online car-hailing operation and the like. The implementation path is as follows: collecting original table establishment data of traffic core business, implementing three-level standardization operation, and constructing a consanguinity knowledge graph containing association of business fields, core indexes and traffic scenes; vectorization coding of traffic semantic enhancement is carried out on the map, and a vector knowledge base is built; based on a Qwen3 and Transform fusion architecture, a vector knowledge base is used as a support, traffic industry specifications and the like are fused to construct a pre-training corpus, and after pre-training, a LoRA lightweight fine tuning strategy is used to adapt to traffic exclusive tasks to construct an interaction model Agent; and carrying out blood relationship analysis on traffic service data by means of Agent, and generating a structured diagnosis report containing service insight and decision suggestions. According to the method, the problem that the accuracy is insufficient when the existing AI Agent processes the business data in the traffic field is solved, the traffic data quality and the decision reliability are improved, and technical support is provided for traffic business data abnormity positioning and operation optimization.