370 results about "Schematic maps" patented technology

The invention provides an electronic clinical medical assessment method and system for an ophthalmology diagnosis and treatment scheme, and relates to the technical field of medical information, and the method comprises the steps: 1, carrying out the multi-scale edge detection calculation of an input ophthalmology image-text mixed medical record image, and obtaining a medical record image; the method comprises the following steps: extracting a boundary contour of a text labeling area and a hand-drawn lesion schematic diagram through adaptive threshold segmentation and morphological closed operation, and establishing a coordinate mapping table containing text block circumscribed rectangular coordinates, geometric positions of key anatomical mark points of the schematic diagram and symbol spacing characteristics; 2, constructing a two-channel attention gating network based on the coordinate mapping table, fusing the semantic features of the text region and the morphological features of the schematic diagram through a dynamic weight distribution strategy, and generating a multi-modal fusion feature matrix with a spatial alignment relationship; according to the method, through multi-modal feature fusion, triangular verification region confidence regulation and control and three-dimensional topology modeling, analysis and structured output of ophthalmology image-text medical records are realized, and the spatial alignment of diagnosis and treatment information is improved.

The invention provides an equipment fatigue crack intelligent detection method and system based on deep learning, and the method comprises the steps: firstly obtaining an equipment surface detection image set, generating a first crack detection thermodynamic diagram through a pre-trained deep learning model, and constructing a crack physical expansion constraint model according to equipment design material parameters and real-time operation condition parameters, then performing crack area iterative optimization based on the first crack detection thermodynamic diagram and the crack physical expansion constraint model to obtain a second crack detection thermodynamic diagram, and analyzing the second crack detection thermodynamic diagram to determine equipment surface crack state parameters such as crack area boundary coordinates, crack expansion direction vectors and crack depth gradient values; and finally, generating an equipment fatigue crack intelligent detection report containing a crack space distribution schematic diagram and a crack propagation risk grade identifier, thereby integrating image data and physical constraints, and improving the accuracy and reliability of crack detection.

The invention discloses a new energy equipment troubleshooting method based on a knowledge graph and a large model. The method is used for solving the problems of fault positioning and troubleshooting of photovoltaic and wind power new energy equipment and the like. The method mainly comprises the following steps: performing data cleaning and preprocessing on a new energy equipment troubleshooting professional field document, and constructing a structured knowledge graph of equipment types, fault types, fault information and solution nodes in a graph database through Cypher; the big language model analyzes the user fault description, extracts and maps node attributes in the knowledge graph, and generates a graph query statement; the question-tracing type multi-round interaction is realized, the missing information is dynamically complemented, and the basic fault is accurately positioned in a step-by-step reasoning mode; according to the method, multi-modal resources such as texts, schematic diagrams and videos stored in the knowledge graph are combined, a step-by-step reasoning path and a solution with illustrative features are generated through a preset template, the whole reasoning process is visualized in a branch thinking graph form, and the accuracy, interpretability and user experience of troubleshooting are remarkably improved.

The invention discloses a material supply and resource recovery collaborative scheduling method and system, and belongs to the technical field of logistics scheduling, and the method comprises the steps: obtaining a material supply instruction and a garbage recovery instruction, carrying out the image recognition of a building garbage picture, obtaining the garbage attribute, and generating a demand instruction library; the method comprises the following steps: establishing a feature knowledge base, setting a spatial clustering method, carrying out spatial clustering and time window screening, carrying out geographic coordinate analysis and time sequence sorting on material demand points and recovery points, generating an initial task pool, setting a loading matching method, and generating a material supply and recovery loading schematic diagram according to building material and garbage attributes; a circulation path is planned, a path planning method is set, an ant colony algorithm is used for initial path planning, a monitoring feedback method is set, data are returned in real time, the running state of the vehicle is monitored, and an alarm is given out immediately once abnormity is found; and the sorted and regenerated aggregate data is synchronized to a building material database, a resource feedback method is set, a reverse transportation task is identified, and a material supply and resource recovery closed loop is formed.

The embodiment of the invention relates to the field of large language models and multi-agents, and provides a multi-agent collaborative query response method based on a state dependency graph and a related device, and the method comprises the following steps: receiving a to-be-queried text input by a user; performing query semantic analysis on the to-be-queried text to obtain the analyzed to-be-queried text and query complexity; instructing the intention recognition agent to generate a domain index; calling a preference matching agent to generate preference information; calling a resource retrieval agent to query to obtain query use resource information corresponding to the to-be-queried text according to the query complexity; the query response information is generated at least according to the historical context of the to-be-queried text, the to-be-queried text, the analyzed to-be-queried text, the field structure information, the field index, the preference information and the query use resource information, and the personalized service corresponding to the to-be-queried text currently input by the user can be automatically adapted according to the actual interaction scene; and response type and high-efficiency intelligent assistance is realized.

The invention discloses an intelligent chart generation method and system suitable for multi-modal data and a storage medium, and the method comprises the steps: receiving and preprocessing the multi-modal data, and completing user intention type recognition and task routing; selecting an adaptive model according to a routing result, and constructing and generating a cue word; standardizing an initial graph code output by the model into an intermediate representation format containing a metadata field, converting the intermediate representation format into a graph code compatible with a target platform, and reserving node definition, a connection relation, layout constraint and metadata information; the method comprises the following steps: respectively completing chart type identification and layout strategy determination, node format size adjustment, overall layout alignment correction and partition adjustment, and connection line identifier optimization through four optimization components, and rendering and outputting a chart. The problem that due to the fact that an existing model lacks a special optimizing and processing mechanism for the structured chart, the effect is remarkably poor when a professional schematic chart needing an accurate logic structure and geometric constraints is generated is solved.

The invention discloses an analog IC synchronization test optimization method and system based on crosstalk simulation. The method comprises the following steps: firstly, acquiring position layout data and test signal data of each analog IC in a synchronous test process of the analog ICs, determining electromagnetic crosstalk information by combining test signals, and constructing a crosstalk schematic diagram according to the electromagnetic crosstalk information and the position layout data; clustering the schematic diagrams by using a spectral clustering algorithm, and identifying a crosstalk path in the synchronization test; designing an electromagnetic crosstalk signal isolation barrier based on the schematic diagram and the crosstalk path, deploying the electromagnetic crosstalk signal isolation barrier in a test environment, performing simulation evaluation on an independently tested analog IC by constructing and injecting a crosstalk simulation signal, and judging an isolation effect; and optimizing the isolation barrier according to an evaluation result to obtain an optimization scheme. According to the method, the electromagnetic crosstalk path in the synchronous test process can be effectively identified and isolated, and the accuracy and reliability of the simulation IC test are improved.

The invention relates to the technical field of geological disaster hidden danger recognition, in particular to a geological disaster hidden danger recognition method based on InSAR and semi-supervised learning, which comprises the steps of dividing hydrological sensitivity of a monitoring area according to a regional underground water unit supply schematic diagram, and setting an InSAR data sampling frequency; acquiring earth surface time sequence displacement data, including accumulated displacement, displacement rate and displacement acceleration, by using a set sampling frequency for preliminarily identifying a potential hidden danger area; geological radar detection is carried out in the potential hidden danger area, underground structure features are evaluated through a geological radar profile map, and a multi-source feature vector is constructed; according to the method, the hydrological sensitivity of the monitoring area is divided according to the regional groundwater unit supply schematic diagram, and the InSAR data sampling frequency is set, so that the problem that the high-risk area is not monitored in time due to the fact that the hydrological sensitivity change is not considered because the conventional monitoring frequency mostly adopts a fixed sampling interval is solved.

The invention discloses a cable crane management and control method and system based on digital twinning, and relates to the technical field of bridge construction intelligent monitoring, and the method comprises the following steps: preprocessing different types of monitoring data to obtain different types of preprocessed monitoring data; constructing a twinborn model based on the on-site live-action data, and performing real-time rendering based on the preprocessed monitoring data to construct a real-time twinborn model; based on the real-time twinborn model, constructing an AR auxiliary hoisting schematic diagram; and planning an optimal path of the crown block based on the AR auxiliary hoisting schematic diagram. Through multi-source data acquisition, real-time analysis, safety early warning and visual display, comprehensive monitoring and risk pre-control of the operation state of the cable crane are realized.

Systems, methods and / or interfaces are provided for generating interior design options. In some implementations, the method includes obtaining an inspiration image of a portion of a room, a furniture, fixture and equipment, or a combination. The method also includes parsing the image, including segmenting the inspiration image into sub-images corresponding to each furniture, fixture or equipment. The method also include identifying alternatives based on the sub-images and a layout of the room, including coordinating the alternatives with respect to each other and coordinating the alternatives with respect to the room. The method also includes generating and / or displaying variations of the room with images corresponding to the alternatives. In some implementations, the method includes parsing an image to generate an empty room sketch or schematic, generating alternatives to be placed in the empty room according to the room, and generating and / or displaying a visualization by placing the alternatives in the room.

The invention relates to the technical field of electro-pneumatic valve state monitoring, in particular to a state monitoring and alarming method for an electro-pneumatic valve. The method comprises the steps of formulating a knowledge graph updating simulation schematic diagram, and updating association states of various state characteristics and fault types under different time nodes in real time; and predicting the fault type of the current electro-pneumatic valve according to the state characteristics acquired in real time and the updated mapping knowledge domain. According to the method, the knowledge graph updating simulation schematic diagram is formulated, the association state of each state feature and the fault type under different time nodes is updated in real time, the fault matching quantity and the change rate are used as association degree evaluation items of each state feature and the fault type, the relationship between each state feature and the fault type is accurately described, and the fault diagnosis accuracy is improved. A stable knowledge graph is established, the alarm degree is divided according to the predicted fault type and the dynamic association and grade of the current fault type and the state characteristics, early warning is performed according to the alarm degree, and the early warning effect is improved.

The invention discloses a port shipping traffic volume analysis and prediction method. The method comprises the following steps: S1, constructing a port zoning map; s2, acquiring ship comprehensive information data, performing classification statistics on port entering and leaving ships of each port according to a preset ship classification rule, generating information lists of various types of port entering and leaving ships of each port, and marking latest positions, historical driving tracks and historical attachment positions of the ships based on the port zoning map; s3, screening different ship types through the ship information list, and analyzing ship operation behaviors and efficiency indexes; and S4, on the basis of the port zoning map marked in the step S2 and the ship operation behaviors and efficiency indexes in the step S3, predicting the next to-be-arrived position and the future navigation trajectory of the ship, and constructing a to-be-arrived ship schematic diagram of each port.

The invention discloses a water conservancy safety monitoring system and method based on dynamic vision, and relates to the field of water conservancy monitoring, and the system comprises a multi-view dynamic vision collection module, an image preprocessing and feature extraction unit, a data fusion and analysis module, and an early warning decision module. According to the invention, a three-dimensional monitoring network is constructed through the multi-view dynamic visual acquisition module, and equipment parameters are dynamically adjusted in combination with real-time meteorological data, so that all-directional dead-corner-free monitoring is realized; the image preprocessing precision and the feature extraction accuracy are improved by using wavelet transform and a deep learning algorithm, and the hidden danger is accurately positioned by combining space-time correlation analysis and an image neural network; an early warning threshold is dynamically optimized through a gradient descent algorithm, a risk trend is predicted based on an LSTM model, early warning information containing three-dimensional coordinates and a dynamic schematic diagram is generated, and decision suggestions are optimized by means of case reasoning and a genetic algorithm.

A multi-dimensional data processing system is disclosed for the automated ingestion, normalization, and computational mapping of project data across spatial, temporal, and regulatory dimensions. The system operates by ingesting diverse datasets—including two-dimensional schematics, three-dimensional data models, cost structures, and workforce logistics—and normalizing them within a unified schema. A dimensional calculations model enables the system to computationally align normalized data with spatial zones, project phases, and operational constraints, structuring it for further computational processing. By integrating this mapped data within a coordinated digital environment, the system applies task sequencing and resource allocation algorithms, generating optimized project plans that support complex, multi-dimensional data interoperability. The structured data is further configured for display through an interactive visualization interface, allowing computational resources to facilitate real-time analysis and adaptive data-driven project management.

The invention relates to the technical field of unmanned aerial vehicles, and discloses a method for displaying the relative position between an unmanned aerial vehicle and unmanned aerial vehicle detection countering equipment, and the method comprises the steps: obtaining the first position information of a target unmanned aerial vehicle and the second position information of the unmanned aerial vehicle detection countering equipment; determining a horizontal distance and a vertical distance between the target unmanned aerial vehicle and the unmanned aerial vehicle detection countering device according to the first position information and the second position information; a first coordinate system is established with the position of the unmanned aerial vehicle detection countering device as a reference position, the first position of the schematic diagram of the target unmanned aerial vehicle in the first coordinate system is determined, and the abscissa and the ordinate of the first position are the horizontal distance and the vertical distance respectively; and displaying the first coordinate system and displaying the schematic diagram of the target unmanned aerial vehicle at a first position in the first coordinate system. According to the invention, the relative position between the target unmanned aerial vehicle and the unmanned aerial vehicle detection countering device can be visually reflected through the two-dimensional view.

The invention belongs to the technical field of converter stability analysis and control, and discloses a new energy converter low-pass control dominated voltage oscillation parameter feasible region construction method, system and equipment and a medium, so as to solve the problem that accurate description of a system stability boundary is difficult to realize in the prior art. The method comprises the following steps: establishing a converter grid-connected system model considering low-voltage ride-through control, and generating a data set comprising a multi-parameter combination and a corresponding repeated low-voltage ride-through state tag based on the model; taking the data set as training data, and training the repeated low-crossing risk discrimination model by adopting a fast kernel learning algorithm to obtain a trained model; and inputting converter grid-connected system parameters needing to be analyzed into the trained model for classification prediction, and drawing a parameter region without repeated low-voltage crossing based on a result to obtain a multi-parameter feasible region schematic diagram. According to the method, the technical blank of carrying out accurate quantification and visualization on the repeated low-penetration stable boundary in a complex parameter scene is filled.

Systems and methods for an e-commerce enabled digital whiteboard are described. The system receives first initialization information, over a network, from a mobile device that includes a description of a first vehicle and a description of a first repair for the first vehicle. The first initialization information is stored in a first context. The system further receives a first request to attach the first context to an online collaborative workspace. The system further attaches the first context to an online collaborative marker that is associated with the online collaborative workspace. The system further generates a first interface based on the first context. The first interface includes the online collaborative interactive workspace including a first repair schematic including instructions for the first repair for the first vehicle. The system further receives a second request, over the network, from the mobile device that is also processed based on the first context.

This product allows various settings to be adjusted using a vertical slider located in the center of the front. In the "Reference Diagram Showing Usage," the light blue colored area represents the illumination state.

1. Name of the product in this design: Pre-inlet flange for air-cooled Roots vacuum pump. 2. Application of this design: It is used for the pre-inlet flange of an air-cooled Roots vacuum pump. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1. 5. Other situations requiring explanation: The reference figure is a schematic diagram of the pre-inlet flange installed at the rectangular interface of an air-cooled Roots vacuum pump. The dotted line part in the figure is the design part that is not claimed to be protected in this case and is only used for explanation.

1. The name of this design product: urinary catheter. 2. Purpose of this product design: This product design is used to guide urine out of the body. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the key points of the design: Design 1 3D drawing. 5. Designate Design 1 as the base design. 6. Explanation of reference drawings for other situations requiring explanation: The reference drawings for each design’s usage status are those when the end balloon is inflated. 7. Other explanations for other situations that require explanation: Design 1 is a schematic diagram of a two-cavity structure with half of the end surrounded, no guide tube in the middle; Design 2 is a schematic diagram of a two-cavity structure with half of the end surrounded, a guide tube in the middle; Design 3 is a schematic diagram of a three-cavity structure with half of the end surrounded, no guide tube in the middle; Design 4 is a schematic diagram of a three-cavity structure with half of the end surrounded, a guide tube in the middle; Design 5 is a schematic diagram of a two-cavity structure with more than half of the end surrounded, no guide tube in the middle; Design 6 is a schematic diagram of a two-cavity structure with more than half of the end surrounded, a guide tube in the middle; Design 7 is a schematic diagram of a three-cavity structure with more than half of the end surrounded, no guide tube in the middle; Design 8 is a schematic diagram of a three-cavity structure with more than half of the end surrounded, a guide tube in the middle.

Systems and methos for generating a schematic for shelf space in a retail environment include acquiring fixture data for a fixture; acquiring item data for a plurality of items to be displayed on fixture; importing an existing planogram, the imported existing planogram comprising an existing location of each item of the plurality of items on the fixture; based on identified assortment rules, generating an updated planogram for the fixture, the generated updated planogram for the fixture including an optimized placement of the plurality of items on the fixture; and generating the schematic based on the generated updated planogram, the generated recommended schematic including a sequence of the plurality of items included in the generated updated planogram.

1. The name of the design product: the handle of the scrubber. 2. The use of the design product: the whole product is used for ground cleaning; the part to be protected is used to provide the user to hold and operate the scrubber. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view. 5. Other circumstances that need to be explained: the rod and the machine body shown by the dashed line in the figure do not constitute part of the appearance design to be protected. The reference figure is a schematic diagram of the handle showing the operation interface.

1. Name of the product in this design: Dehumidifier. 2. Purpose of this design: To regulate air quality. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. Other situations requiring explanation: The enlarged view of part A is a partial enlarged schematic diagram of point A in the main view.

An interactive computer-implemented method for testing an HVAC system includes: - input of at least one document (11) relating to the HVAC system by a user into a data processing system (4), the documents containing schematic representations of the HVAC system; - in the data processing system (4), extracting a plurality of functional blocks (880) (106) from the schematic representations by a machine learning system (8); - detecting inconsistencies, including missing documents or information, within the data processing system depending on the result of the extraction (108); - a conversation agent (5) in the data processing system interacting with the user to request missing documents or information relating to the HVAC system (107, 101); - Creating a report based on the extraction and detection of discrepancies (109).

The invention relates to the technical field of computer graphics, in particular to a method for collecting material reflection data in a low-bandwidth environment, and the method comprises the steps: obtaining a target object image, and calling a pre-stored target terminal sampling network to map the target object image into a corresponding target hidden variable; transmitting the target hidden variable to a cloud server to reconstruct material data of the target object, and rendering a reference schematic diagram of the material of the target object based on the reconstructed material data of the target object; wherein the cloud server calls a decoder in a pre-stored target variational auto-encoder to reconstruct target object material data; and receiving a reference schematic diagram fed back by the cloud server, and if the reference schematic diagram meets user requirements, taking the reconstructed target object material data corresponding to the reference schematic diagram as reflection data of the target object material. Therefore, the problems that high-quality material reflection data is difficult to generate conveniently and efficiently due to the limitation of a working scene, and the picture rendering effect is reduced are solved.

The invention discloses a DFT (Discrete Fourier Transform) architecture planning and automatic generation system based on a graphical interface, which relates to the technical field of integrated circuit computer aided design, and comprises the following steps: providing a graphical editing interface, and forming a DFT architecture schematic diagram by dragging and connecting preset DFT primitives; the DFT primitive library comprises a test access component, a built-in self-test component, a system internal test component, a logic test component, a signal processing component and a clock management component; performing hierarchical analysis and function label identification on the DFT architecture schematic diagram, and generating a structured intermediate representation containing node information, connection information and an entity association index; through graphical dragging, parameterized configuration and automatic script generation, DFT engineers are liberated from tedious manual script writing, the time of DFT architecture design and script generation is shortened from the human day / human week level to the hour level, and the efficiency is obviously improved.

1. The name of the design product: compass (CP-0010). 2. The use of the design product: office and school supplies, mainly for drawing. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view. 5. Other conditions that need to be explained: the state reference drawing is a schematic diagram after the drawing pen is clamped.

1. Name of the designed product: construction aid (automobile frameless glass) 2. Use of the designed product: the designed product can be used as a lever to pry the automobile frameless glass. 3. Design points of the designed product: the shape. 4. Picture or photo best indicating the design points: perspective view. 5. Other circumstances or explanations: the left view enlarged view is an enlarged schematic view of the left view, and the right view enlarged view is an enlarged schematic view of the right view.

The invention discloses a controllable flight ground collision risk judgment method and system based on a Bayesian network model, and relates to the technical field of controllable flight ground collision risk judgment. And carrying out classification identification on causes of controllable flight ground collision (CFIT) unsafe events. The complex and disordered cause factors are sorted through an interpretation structure model (ISM), and a hierarchical relation schematic diagram capable of clearly showing the mutual causal relation and hierarchy of the cause factors is obtained. A Bayesian network model is established, and key factors in a CFIT event are sorted out from three different angles. According to the analysis result, various external factors and unit capability defects have influences on the CFIT, and the last defensive line for judging key links and preventing and controlling CFIT events can be found. More detailed guidance and training are provided for the key links, and more standardized supervision is carried out.

A system (10) for use in medical device servicing includes a database (30, 31) storing medical device schematics (32) and annotations (33) to the medical device schematics; a search engine (14) configured to receive information (34) related to servicing of a medical device (12) and search the annotations to the medical device schematics in the database using a search query based on the received information to retrieve one or more medical device schematics in the database; and a navigation device (18) including a display (24) and at least one input device (22), the navigation device operatively connected to receive the one or more medical device schematics from the search engine and configured to display the one or more medical device schematics annotated with the annotations to the one or more medical device schematics.