31results about How to "Lower technical barriers" patented technology

The utility model relates to hairdressing equipment technical field, the utility model discloses an automatic trimming hair length's intelligent hairdressing device, including the lower shell and upper shell of mutual splicing setting, the surface fixed setting of lower shell has the mounting piece, the surface fixed connection of upper shell has control panel, the front side sliding connection of lower shell has the limit comb, the middle part fixed connection of lower shell and upper shell has the mounting bracket, the side vertical sliding connection of mounting bracket has the reduction motor, the output of reduction motor rotatory connection has the gear, the top engagement of gear has the rack, one end fixed connection of rack has the link element, the side of link element relative to rack and limit comb movable joint, through limit comb, when hairdressing, need not handheld comb, and can through the distance that limit comb projects, control the length of cutting hair, through control top bracket and tension spring, limit comb under the quick return of tension spring, to promote the trimming accuracy, improves the trimming efficiency simultaneously.

The invention relates to the technical field of digital LEDs, in particular to a high-voltage digital LED with a built-in IC. A containing groove is formed in the support, a circuit board is arranged on the groove wall of the bottom of the containing groove, a control IC and three or more LED chips with the working voltage larger than or equal to 6 V are installed on the circuit board, the control IC is electrically connected with the LED chips, a plurality of baffles are arranged in the containing groove to separate the adjacent LED chips, powder dispensing grooves are formed between the adjacent baffles, and the LED chips emit light in different colors through powder dispensing. One electrode of the circuit board is connected with the anodes of all the LEDs; and all the LED chips adopt a blue light LED chip and fluorescent powder coating technology to realize target color light and at least have red, green and blue light output capabilities. Through reasonable structural design and chip technology, stable electric connection is realized, different colored light output requirements are met, and the control IC can drive the LED chips to be mixed to realize change of any color.

The application discloses a kind of for semi-automatic generation method and system of safety and anti-seismic identification report of existing building.Method includes: extracting structural parameters from drawing by AI semantic understanding and regular check;Through mobile terminal, field data is input;Drawing parameters and field data are fused into intermediate data object;Based on SQLite specification library, applicable identification specification is automatically matched;Safety rating (Au~Du) and anti-seismic identification (first level structure check + second level bearing capacity checking) are executed;Finally, the results are automatically filled into Word template to generate complete identification report.The application is aimed at the special needs of existing building identification, integrates drawing intelligent extraction, mobile terminal edge detection and edge recording, specification intelligent matching, safety rating and anti-seismic identification and other modules, significantly improves the efficiency and standardization of identification report preparation, reduces the dependence on technical personnel experience, and is suitable for large-scale identification of existing buildings in urban renewal.

The utility model provides a kind of detection cable for airplane standard interface real bullet ground joint test, belong to electronic equipment test technical field, including discrete signal line group, it is used to detect the signal interaction function of missile;Power line group, it is used to detect the power supply line of various components inside missile;Address line group, it is used to detect and feedback missile detection port insert position;Bandwidth line group, it is used to detect the satellite launch signal function inside missile;Bus line group, it is used to detect the data transmission function inside missile;The utility model can detect each function module of missile without disassembling missile, so as to avoid damage when missile is mounted.

The present invention relates to the technical field of operation and maintenance management, and specifically relates to an integrated operation and maintenance management system and method based on AIOps; the method includes: collecting multi-source IT operation and maintenance data and completing standardized preprocessing to form operation and maintenance data input in a unified format; classifying and storing the preprocessed data using a hybrid storage architecture, and implementing data synchronization through a cross-database synchronization tool to break data silos; performing intelligent analysis on the data based on the TensorFlow framework to generate fault diagnosis results and performance trend prediction data; generating operation and maintenance decisions according to the analysis results, and performing automatic repair, work order allocation or resource scheduling operations; outputting operation and maintenance management results, presenting data and decision execution situations through a visualization interface, and providing report generation and management configuration functions; through a full-process automated data processing and intelligent operation and maintenance decision-making mechanism with multi-module collaboration, the technical problems of slow fault response, weak data integration, low accuracy of risk prediction and low operation and maintenance efficiency in the traditional operation and maintenance mode are solved.

This invention relates to the field of human-computer interaction technology, providing a general virtual disassembly and assembly interaction method and system for mechanical equipment. The method includes: acquiring a 3D model with preset part type information, assembly relationship information, and default disassembly and assembly semantic information; automatically generating a part logic tree by parsing and extracting the semantic information; automatically generating a basic disassembly and assembly state machine by matching preset disassembly and assembly rule templates according to the part type information; displaying a disassembly and assembly logic arrangement view in the interactive interface, allowing users to adjust the disassembly and assembly logic parameters of parts through drag-and-drop arrangement operations, and updating and generating a target disassembly and assembly state machine; binding the target disassembly and assembly state machine with the 3D model and saving it as a semantically enhanced model; and finally, determining the executable operation corresponding to the current part based on the target disassembly and assembly state machine during runtime, and displaying the next operation prompt information based on the part type information. This provides real-time and accurate operation guidance for teaching, training, and maintenance scenarios.

The application discloses a circuit breaker mechanical characteristic test and diagnosis algorithm verification device with a waveform editing function, which comprises a signal acquisition and communication module, a man-machine interaction interface, a drag-type waveform editing unit, a waveform feature self-adaptive reconstruction unit and a format storage and reading unit. The signal acquisition and communication module synchronously acquires four types of key signal waveforms during circuit breaker opening and closing operations; through graphical operation of the man-machine interaction interface, a user can drag and edit waveform feature points, the waveform feature self-adaptive reconstruction unit generates a corrected waveform according to the adjusted feature points, the format storage and reading unit stores the adjusted waveform into a standard format file, and the signal acquisition and communication module sends the standard format file to an external diagnosis system. The application integrates mechanical characteristic test and diagnosis algorithm verification functions, and solves technical problems, such as dependence of diagnosis algorithm verification on field test data, insufficient fault sample coverage and non-reproducibility in the prior art.

The invention belongs to the technical field of artificial intelligence and medical health information processing, particularly relates to an ICU critical patient multi-mode risk early warning system based on deep learning, and aims to solve the problems that in intensive care, illness state prediction lags behind, multi-source data fusion is difficult, and single-index early warning precision is low. According to the system, high-frequency physiological signals, clinical observation values, inspection images and unstructured texts are collected through the data sensing layer, cross-modal embedding and comparative learning alignment are carried out through the heterogeneous fusion layer, and a shared semantic space is constructed; the time sequence reasoning layer utilizes an improved space-time diagram neural network to model a dynamic knowledge graph, and causal and time sequence dependence among clinical events is captured; and the risk decision-making layer outputs multi-dimensional risk probabilities of sepsis, respiratory failure and sudden cardiac arrest in parallel. The system supports online incremental learning and individualized time decay modeling, the timeliness, accuracy and interpretability of early warning are improved, and the method is obviously superior to a traditional method in clinical verification.

The utility model relates to the technical field of municipal construction, concretely is a kind of granite paving joint positioning device, including cross-shaped bearing frame, joint positioning mechanism being located on bearing frame, joint positioning mechanism includes respectively being located on the two-way synchronous drive assembly of bearing frame horizontal direction side and longitudinal side, two telescopic positioning components being symmetrically located on two-way synchronous drive assembly, joint assembly being located on telescopic positioning component;Two-way synchronous drive assembly and two telescopic positioning components transmission connection drive two positioning components to each other close or far away. Through the two-way synchronous drive assembly of horizontal direction and longitudinal direction symmetry arrangement, drive two telescopic positioning components synchronous reverse movement, cooperate the scale line on bearing frame, expansion plate and joint board, solve the problem of traditional manual visual non-quantitative standard, ensure the straightness of horizontal direction, longitudinal joint and spacing consistency;Joint assembly adopts gear and rack transmission structure, realizes the trace sliding adjustment of joint board, improves positioning accuracy.

This invention provides a standardized preparation method and kit for double-stained transparent specimens of fish skeletons. Orthogonal experiments were designed for fish of different skeleton types (cartilaginous / boneless) and body lengths (small 5-7cm, medium 7-15cm, large 15-25cm), using factors such as KOH concentration and treatment time. Staining effect, transparency, and tissue integrity were used as indicators. Statistical analysis was used to establish an optimal parameter matrix database covering fixation, transparentization, and staining steps. During preparation, the database can be queried based on fish species and body length to obtain differentiated treatment parameters, achieving standardized operation. This invention also provides a kit containing staining stock solution, basic reagents, and a parameter query unit. This invention transforms double-stained skeleton preparation from experience-dependent to data-driven, significantly improving repeatability and success rate, and is suitable for scientific research, teaching, and demonstration.

This invention relates to the field of log collection technology, and discloses a log management method, apparatus, electronic device, and readable storage medium. The method includes: obtaining log collection configuration information through a visual page, wherein the visual page includes a log registration component, a collection rule configuration component, and a host association component; the collection configuration information includes log registration information obtained through the log registration component, collection rules obtained through the collection rule configuration component, and target host information obtained through the host association component; deploying a log collection service based on the target host information; configuring log collection tasks based on the log registration information and collection rules; and controlling the log collection service to execute the log collection tasks, converting the collected log data into quantifiable data. By implementing this invention, the technical threshold for operations and maintenance personnel is lowered, and the efficiency and accuracy of log collection are effectively improved.

This utility model discloses a bolt tightening detection device, relating to the field of steel structure locking component detection technology. The utility model includes a screw, a connecting member on the surface of the screw, and a nut threadedly connected to the surface of the screw. A detection mechanism is provided on one side of the screw, including a V-shaped detection buckle disposed between the nut and the connecting member, a housing disposed on the top of the V-shaped detection buckle, and a scale plate fixedly connected to the rear side of the housing. This utility model, through the cooperation of the V-shaped detection buckle, spring, and scale plate, can intuitively and accurately reflect the bolt tightening state, avoiding measurement errors caused by sensor wear or insufficient power in traditional torque wrenches, thus improving the reliability of the detection results. The device has a simple structure, requires no electronic equipment or complex operation; operators only need to observe the scale value pointed to by the pointer to determine the tightening state, lowering the technical threshold and making it suitable for widespread use.

The application discloses a kind of based on AI generation script's firewall multi-network structure automation test system and method, a kind of based on AI generation script's firewall multi-network structure automation test system, including work host, management network switch, first firewall to be measured, second firewall to be measured and five auxiliary test equipment, the work host, the management network switch, the first firewall to be measured, the second firewall to be measured and the five auxiliary test equipment are all connected by wired network, and standardization reusable test networking is built.The application is realized by AI technology the full automatic generation of test script and the autonomous perfection of test case, only needs to input test case document and online running firewall equipment, without manual coding and preset script template, can automatically parse case, collect firewall actual configuration information, end-to-end generation directly executable test script, while can automatically traverse all functions of firewall Web management page.

This invention discloses a method for fitting a 3D human body model based on 2D contour interaction and semantic segmentation. The method first parses a user-drawn 2D stick figure skeleton using a JPN module and drives an SMSLX model to generate an initial 3D human body. Then, the initial model contour is rendered from multiple fixed perspectives, generating corresponding bounding voxel spaces and point cloud projections. A prior network combining UDF and positional information is introduced to guide the training of the multi-view semantic segmentation network module UPS, achieving accurate segmentation of each part of the contour image. Based on the segmentation results and voxel point cloud projections, surface constraint point clouds for each body part are calculated. Finally, using the constraint point clouds as targets, the SMSLX model parameters are optimized for each part using a CFM module, ultimately generating a 3D human body shape that matches the user's editing intent. This invention allows users to indirectly adjust complex 3D models through intuitive 2D contour editing, significantly improving interaction efficiency and avoiding direct manipulation of complex 3D data.

The application provides a land use and cover grid data downscaling method and system based on AlphaEarth Foundations and machine learning in future years, which identifies coarse scale pixels in which land classes change in future years by comparing coarse scale data in future years and a base year; maps the coarse scale pixels to fine scale data in the base year to determine a target area; counts the number of fine scale pixels of each land class in the target area to obtain the net increase of fine scale pixels of each land class in future years; in the target area, generates a conversion probability corresponding to each land class for each fine scale pixel by using a land class conversion probability prediction model; constructs an optimization model with the sum of the conversion probabilities corresponding to the land classes to which all fine scale pixels in the target area are assigned as an objective function, and solves the optimization model to obtain an optimal land class assignment result of the fine scale pixels in the target area; and fuses the optimal land class assignment result with the fine scale data in the base year to generate fine scale land use and cover grid data in future years after downscaling.

This invention provides an autonomous inspection method and system for unmanned aerial vehicles (UAVs) based on a large language model and simulation verification. It includes: parsing natural language commands into a structured domain-specific language (DSL) description using a large language model; mapping the DSL to executable code for the UAV via a Model Control Protocol (MCP); performing multi-dimensional verification of the code in a digital twin simulation environment, including collision and logic checks; if verification fails, feedback error information triggers automatic correction by the large language model until successful; deploying the verified code to a physical UAV for inspection, and implementing dynamic deviation circuit breaking based on virtual-real-time airflow alignment and MCP feedback replanning. This invention solves the problem of safe conversion from natural language to precise control through a DSL intermediate layer and simulation verification closed loop, constructing a semantic-control two-layer decoupled architecture, achieving full-process automation from high-level commands to safe autonomous flight, and significantly improving the intelligence level and operational safety of the inspection process.

The application discloses a kind of high fidelity e-commerce commercial photo generation methods.The present application relates to the technical field of artificial intelligence.It includes: pre-processing and verifying clothing images;Through multi-modal intelligent agent, data is extracted and matching images are retrieved;The original image, attribute, search image and pose description are input into the closed model to generate commercial intermediate image;Using multi-modal evaluation model to monitor score, automatically positioning repair difference area for substandard image, combining manual check to output repair image;Finally, through the text model, the selling point copy is generated, and the layout intelligent agent instance is segmented in the non-occlusion area for automatic layout, and the final commercial photo is output.The present application can realize the automatic evaluation, detection matching and repair of clothing differences.

The application discloses a railway culvert design drawing system and method based on a hybrid intelligent algorithm. The prior art lacks the ability to meet the design requirements of railway culverts, such as rapidness, standardization and high reliability. The application comprises a data input layer, a pre-trained model layer, an engineering quantity calculation layer and a CAD drawing layer. First, an M1 unsupervised anomaly detection model and an M2 reinforcement prediction model are constructed. Then, parameter input and preliminary verification are performed. The M1 unsupervised anomaly detection model is used for anomaly detection and correction, and the rationality of the parameter combination is identified by the pre-trained M1 model. The M2 reinforcement prediction model is used to generate a culvert reinforcement scheme. Based on the modified and confirmed design parameters, the automatic accounting of the engineering quantity is realized. Finally, the structure parameters, load parameters, reinforcement parameters and the temporarily stored engineering quantity of the railway culvert are taken as inputs to generate the output of the railway culvert standard drawing and the engineering quantity. The application improves the design efficiency and reduces the design and drawing difficulty of the railway culvert.

This invention proposes a single-blade, multi-line sleeve-type shearing and limiting structure, including a cutter motion assembly and a distance adjustment assembly. The cutter motion assembly contains a slidable slider and a pre-upsetting needle, with a follower on the side of the slider. The distance adjustment assembly is fixed to the equipment and has limiting step surfaces of varying heights along the cutter's lateral movement path. During operation, the cutter's lateral movement drives the follower to move along the step surfaces, forcibly adjusting the axial position of the pre-upsetting needle to form a rigid, variable-depth blind hole for stopping material. Combined with the overfeeding and slippage elimination strategies of the wire feeding mechanism, the pre-upsetting needle acts as a stop to eliminate feeding errors. This invention solves the problems of poor accuracy and unstable product volume caused by traditional cold heading machines relying on feeding pulse control for length. It achieves high-precision shearing and automatic avoidance ejection with a single blade and multi-line, significantly improving the forming quality of composite contacts.

This utility model relates to the field of building engineering technology and discloses an adjustable rebar protective layer measuring ruler, comprising: a measuring ruler with a receiving groove along its vertical surface; a first measuring ruler disposed within the receiving groove of the measuring ruler and perpendicular to the measuring ruler; a sliding mechanism slidably disposed within the receiving groove of the measuring ruler and distributed vertically; a second measuring ruler disposed at the displacement end of the sliding mechanism and parallel to the first measuring ruler; and a locking mechanism disposed on the second measuring ruler for locking the second measuring ruler after it has moved to a target position, thereby limiting the distance between the first and second measuring rulers. The purpose of this adjustable rebar protective layer measuring ruler is to solve the problems of existing general-purpose measuring tools being unable to quickly compare the acceptable range of protective layer thickness and lacking a dedicated adjustment mechanism that can preset and lock a specific measurement range.

The application provides a video forensics method based on a Transformer and quantum characteristics, and belongs to the technical field of multimedia content security and computer vision, and the method comprises the following steps: S1, collecting multi-modal original data; S2, pre-processing multi-modal data; S3, preliminarily detecting single-modal authenticity; S4, quantum-optimized multi-modal feature fusion; and S5, comprehensively determining multi-modal authenticity. Through multi-modal cooperation and quantum technology innovation, the application effectively solves the problems of insufficient robustness and inaccurate positioning of traditional forensics technology, and provides an efficient, accurate and feasible technical solution for video content authenticity verification.

The application discloses an Internet of Things device access authentication method and system based on edge computing. The method comprises the following steps: a device sends an access request, and an edge node analyzes a protocol to generate a feature fingerprint; a cloud end performs a first protocol whitelist verification, a second certificate and feature fingerprint verification, matches an authentication strategy according to an environmental parameter, and issues a token; the edge node performs a localized authentication, monitors a state in real time, and dynamically adjusts the strategy; and after the authentication is passed, information is synchronized to the cloud end to complete registration. The system comprises a device access layer, an edge computing layer, an authentication management layer and an interaction interface layer, the edge layer analyzes DALI, BACnet and other protocols, the management layer constructs a three-dimensional strategy mapping table, supports graphical configuration and machine learning optimization of a strategy library. The application discloses an Internet of Things device access authentication method and system based on edge computing, which realizes low-delay, high-flexible access of multi-protocol devices, improves real-time performance, expansibility and security, and is suitable for intelligent building, industrial Internet of Things and other scenes.

This invention relates to the field of bridge structural health monitoring and safety assessment technology, and particularly to a method for detecting the deflection deformation of orthotropic steel bridge decks based on influence surfaces. The method includes: S1, establishing a layered spatiotemporal traffic flow information database specific to the orthotropic steel bridge deck to be tested, generating virtual loads based on time windows and vehicle tail reinforcement coefficients to simulate bridge traffic; S2, acquiring the static stress response of key bridge points when vehicles cross the bridge; S3, inverting the influence surface based on dimensional adaptive prior information, constructing a hybrid likelihood function, and reconstructing a two-dimensional influence surface matrix by integrating typical traffic and tail reinforcement information; S4, comparing the changes and responses before and after the influence surface to infer the deflection deformation. This application can generate virtual loads using traffic flow statistics and invert the entire field influence surface through stress measurement at a single key point; the innovative dimensional adaptive prior setting method significantly improves the inversion efficiency, accuracy, and stability.

This invention discloses a hierarchical control system and method with configurable state and event-driven chains, relating to the field of industrial automation control technology. The system includes a modular execution layer, a configurable aggregation engine, an event chain editor, and an event-driven execution layer. The modular execution layer completes atomic operations and publishes completion events through functional atomic modules. The configurable aggregation engine dynamically calculates and reports the system's aggregated state according to predefined rules. The event chain editor visualizes the orchestration process and generates independent configuration files. The event-driven execution layer loads files and is driven by event-driven processes. This invention achieves flexible state definition and visualized process configuration, realizing logical decoupling and improving system flexibility and maintainability.

The invention provides a multifunctional intelligent agricultural robot based on AI motion control and visual identification, and belongs to the technical field of agricultural intelligent equipment.The multifunctional intelligent agricultural robot comprises a hardware system and a software system, and the hardware system adopts a core control layer, a sensing layer, an execution layer and an auxiliary layer; the software system adopts modular design of an ROS system program module, a visual system, a navigation system, water and fertilizer management and the like, and the ROS system program module and the visual system cooperatively complete integrated operation of watering, fertilization, crop growth detection and fruit picking through a data bus. The laser and vision fusion navigation technology and the improved EKF algorithm are adopted, the improved YOLOv8 algorithm is carried, the fruit maturity recognition accuracy is high, the double six-degree-of-freedom mechanical arms conduct cooperative picking, and the damage rate is low; the accurate water and fertilizer management system realizes high water resource utilization rate. The robot has the advantages of integrated functions, high operation precision and strong environmental adaptability, greatly reduces the labor cost and resource consumption, improves the economic benefits of agricultural production, and is suitable for various agricultural operation scenes such as orchards and farmlands.

The invention provides a hydropower engineering design data modeling system based on a BPRS method, which comprises a process object enumeration library, a design semantic library, a geometric feature library, a design parameter library, a business process library, a visual modeling module, a data modeling engine, a database structure generation module, a data exchange standard generation module and a collaborative interface module, unification of design data, business processes and system structures is realized, and multi-specialty collaboration, parameter association, semantic modeling and automatic generation of data standards are supported. According to the method, efficient collaboration, parameterized management, semantic modeling and standardized generation of hydroelectric engineering design data can be realized, the problems of data islands, flow breakage, semantic deficiency and the like in traditional design are solved, and the design efficiency and the intelligent level are improved.

This application relates to the field of elevator control technology, and in particular to a device and control method based on monitoring the status of elevator external call buttons. The device includes: an input circuit, an output circuit, a manual disabling control module, and an interface unit. The input circuit includes an upper button press detection circuit and an upper button light detection circuit; the output circuit includes an upper button automatic registration circuit and an upper button light simulation circuit; the manual disabling control module includes an upper button manual disabling circuit and an upper button light disabling circuit; the interface unit includes an external call board interface, an upper button interface, and an MCU control interface, the MCU control interface including an input acquisition interface and an output control interface. This application eliminates the need to crack proprietary protocols, reduces reliance on original equipment manufacturer (OEM) cooperation, effectively shortens waiting time, improves transportation efficiency, and reduces subsequent maintenance costs.

This invention relates to the fields of materials science and intelligent optimization technology, and discloses a multi-objective intelligent optimization method for the composition and heat treatment process of 2xxx series aluminum alloys. This method integrates the XGBoost multi-output prediction model with four intelligent optimization algorithms: Firefly Optimization (FA), Gray Wolf Optimization (GWO), Particle Swarm Optimization (PSO), and Simulated Annealing (SA). Through an automated process of data preprocessing, multi-objective prediction, constraint optimization, and result verification, it achieves the synergistic optimization of the tensile strength (UTS), yield strength (TYS), and elongation (EL) of aluminum alloys. The system uses unique heat encoding to process categorical process parameters, introduces constraint penalty mechanisms and early stopping strategies to ensure that the optimization results meet the requirements of composition ratio and process parameter range. Experimental verification shows that the comprehensive performance of the aluminum alloy optimized by this method is suitable for the performance optimization of 2xxx series aluminum alloys in aerospace, automotive manufacturing, and other fields, significantly reducing R&D costs and time.

The invention discloses a method and device for analyzing ipmi original command response data and a medium, and relates to the technical field of data analysis, and the method comprises the following steps: obtaining hexadecimal response data of an ipmi original command; extracting an instruction identifier from the hexadecimal response data; based on the instruction identifier, matching a corresponding analysis rule from a predefined analysis rule library; a plurality of analysis rules are stored in the analysis rule base, each analysis rule is associated with one or more instruction identifiers, and a field structure of response data and at least one conversion relation are defined; according to the matched analysis rule, performing field extraction and data conversion on the hexadecimal response data to generate structured data containing physical meanings; and outputting the structured data. According to the method, the corresponding analysis rule is automatically matched according to the instruction identifier in the response data, the hexadecimal byte stream is analyzed into the structured data bearing the clear physical meaning, and efficient and accurate automation support is provided for server hardware monitoring and management.

The application discloses a kind of geometric defect identification and processing method based on AI big model, it is related to aerospace engineering field.The method aims at solving the problem of low efficiency and poor accuracy of aircraft CAD model geometric defect artificial repair.The steps include: first, CAD assembly body model is intelligently segmented into multiple sub-components;Second, the part geometry is converted into a structured feature representation, and a multi-task hierarchical graph neural network model incorporating domain knowledge is trained using labeled data;Then, the model is used to identify defects in sub-components, outputting defect type and spatial location information;Finally, according to the identification results, the repair topology is connected first, and the geometric anomaly is processed in sequence, and a watertight surface mesh is generated.The application realizes the whole process automation of geometric defect identification and repair, greatly improves the pre-processing efficiency and quality, and reduces the dependence on expert experience.