629 results about "Graph design" patented technology

The invention relates to the technical field of CAD drawing optimization, and discloses a CAD drawing optimization method based on parameterized design. The method comprises the steps that a design constraint condition set is received, and geometric constraint parameters and engineering constraint parameters in the design constraint condition set are extracted; generating an initial geometric topological structure according to the geometric constraint parameters, and performing parameterized mapping on the structure in combination with the engineering constraint parameters to form a parameterized geometric model; identifying key feature nodes in the model, dynamically associating the key feature nodes with engineering constraint parameters, and constructing a parameter-driven relation network; and iteratively optimizing the parameterized geometric model through the network to generate an optimized geometric model meeting a design constraint condition set. According to the method, close association of geometry and engineering constraints is achieved, repeated design modification is reduced, efficiency and accuracy are improved, the design standardization degree can be improved, collaborative design is facilitated, and the method is suitable for CAD drawing design of complex products.

The invention relates to an application method of a GPU (Graphics Processing Unit) in design rule inspection in the field of integrated circuits, in particular to a layout design rule inspection method, system and equipment, a medium and a product. The layout design rule checking method comprises the following steps: inputting initial layout data, analyzing a design rule checking task to be executed, and marking the priority and complexity level of the task; the method comprises the following steps: dividing layout data into a plurality of data blocks according to regions on the basis of regional characteristics of the layout data, distributing tasks and corresponding data blocks to a GPU computing core according to task priorities and complexity levels, and distributing new data blocks according to the overall load condition of the GPU computing core after the GPU computing core completes data block processing, and repeating the steps until all tasks are executed, and outputting a layout design rule check result. The system, the computer equipment, the computer readable storage medium and the computer program product have the same beneficial effects as the layout design rule checking method.

Systems and methods for orchestrating events in distributed DevOps apparatus leveraging generative AI are disclosed to automate and streamline software development and deployment in distributed DevOps environments using Generative Adversarial Networks (GANs) and other AI techniques. The method involves interpreting UML diagrams, design documents, or the like with generative AI and computer vision to create DevOps tasks, integrating with various DevOps tools for task management, and deploying generated rules for automated event execution. Metadata is generated and processed in order to facilitate AI analysis. The systems and methods reduce manual intervention, increase efficiency, and improve accuracy, scalability, security, and compliance in DevOps workflows.

The invention relates to the technical field of integrated circuits, and discloses an integrated circuit through hole resistance extraction method and device, a storage medium and electronic equipment. The method for extracting the through hole resistance of the integrated circuit comprises the following steps: reading layout design related data of the integrated circuit; determining physical level information related to a metal layer and a through hole in the integrated circuit; constructing a connected network diagram of each physical hierarchy based on the physical hierarchy information; determining communication information and electrical affiliation information of the through holes based on the communication network diagram; the through holes are combined through a set scanning line algorithm to obtain combined through holes, and the combined through holes need to meet set through hole combination conditions; and calculating an equivalent resistance value of the combined through holes based on the resistance values of the combined through holes. According to the technical scheme, the number of post-simulation parameters can be reduced, the simulation time is shortened, meanwhile, it is ensured that the combined resistance network topology is consistent with a physical circuit, and the simulation precision is high.

The invention relates to the technical field of layout design, and particularly provides a PCB layout design verification method, system and device and a medium, and the method comprises the steps: extracting a design intention from a design demand text through a natural language processing technology; querying design constraint parameters from a pre-constructed knowledge graph based on the design intention; generating a dynamic verification rule according to the design constraint parameter; and verifying the design parameters in the PCB layout by using a rule engine and applying the dynamic verification rule, and outputting a verification result. According to the invention, the verification efficiency is improved, and the rework rate caused by constraint deficiency is reduced.

The invention discloses a thinking data-based large model reasoning ability evaluation and analysis method and device. According to the method, a data flow diagram is constructed through a variable use-definition chain during running of a specific language LMCL in the dynamic monitoring field, logic variable LVAR nodes are extracted, redundant edges are eliminated, and a thinking map with a direct dependency relationship is generated. Based on the thinking map, a five-dimensional evaluation system including reasoning efficiency, key node recognition capability, reasoning generality, multi-path reliability and accumulative hierarchical reasoning is designed, and an internal mechanism of a model reasoning process is quantitatively analyzed. A semantic rule is extracted through a frequent mode of mining successful and failed thinking data, reasoning path probability distribution is integrated in combination with a path aggregation strategy, an interpretable cue word optimization strategy is generated, and a large model reasoning process is dynamically injected. Through the rule guidance and path equalization strategy, the model reasoning accuracy is improved, and the problems of thinking data isomerism, single evaluation and black box enhancement in the traditional technology are solved.

The invention provides a preparation method and device of a three-dimensional layered puzzle, electronic equipment and a storage medium, and the method comprises the following steps: obtaining a two-dimensional design image, and carrying out the preprocessing of the two-dimensional design image; performing stereoscopic enhancement processing on the preprocessed two-dimensional design image to generate a preliminary three-dimensional image; processing the preliminary three-dimensional image to generate a three-dimensional model; layering the three-dimensional model to form a plurality of required target layers; performing arrangement layout on the plurality of target layers, and outputting a drawing of the plurality of target layers including the optimal arrangement layout; and a layered cutting file is generated according to the drawing, the manufacturing equipment receives the layered cutting file, and puzzle layer modules are manufactured. The method has the beneficial effects that the whole preparation process of the jigsaw type toy is automatic, manual intervention is not needed from two-dimensional drawing to layered jigsaw design, the limitation of dependence on a designer in the prior art is broken through, output files are directly in butt joint with production equipment, industrial practicability is achieved, and the manufacturing cost is reduced.

The invention discloses a multi-agent system for knowledge-driven automatic software architecture design, and belongs to the technical field of computer aided design, and the multi-agent system comprises an analysis agent, a modeling agent, a design agent and an evaluation agent which are constructed based on a large language model, the analysis agent is used for extracting, screening and classifying requirements which influence the software architecture design from a software requirement specification and generating a requirement document; the modeling agent is used for generating a software architecture view according to a demand document and an external knowledge base; the design agent is used for generating a software architecture document according to the demand document and the software architecture view; and the evaluation agent is used for evaluating and analyzing the software architecture according to the demand document, the software architecture view and the software architecture document to generate an evaluation and analysis report. According to the method, through cooperation and interaction between the intelligent agents and prompt of external knowledge, the reliability, practicability and creativity of software architecture design can be effectively enhanced.

The invention discloses an abnormal traffic flow detection method and system based on a dynamic graph, and is applied to the field of abnormal traffic flow detection. The method comprises the following steps: dividing a city into a plurality of sub-regions through city road network data, and obtaining vehicle trajectory data to construct a traffic flow tensor; constructing an approximate graph based on the traffic flow tensor and performing data enhancement to generate a local view and a global view of the traffic flow tensor; designing a comparative learning model with a time graph encoder to perform joint training on the multi-view data, and capturing space-time dependency features; and acquiring a real-time traffic flow embedding vector by adopting a sliding window, identifying an abnormal traffic mode through a local abnormal factor algorithm, and finally realizing the positioning of an urban abnormal traffic area. According to the method, through fusion of the time graph encoder and comparative learning, the accuracy of traffic anomaly detection in a complex road network environment is effectively improved, and reliable technical support is provided for urban traffic intelligent management.

The invention discloses an intelligent contract vulnerability detection method based on a multi-level data dependence heterogeneous graph, and belongs to the technical field of intelligent contract security. Intelligent contract byte codes are used as input, contract byte codes are converted into operation codes, and a control-data heterogeneous graph with basic blocks as nodes is constructed; designing an in-block data dependency sub-graph, and forming multi-level data dependency with the inter-block data stream; based on the generated control-data heterogeneous graph, a feature weighted relation graph convolutional network is provided, and control flow and data flow feature weights are dynamically adjusted and optimized by using node static attributes such as dominating tree depth and the like, so that multi-modal semantic efficient aggregation is realized. According to the method, for the contract without a public source code on the block chain, vulnerability detection only for the bytecode of the intelligent contract is realized, and high detection efficiency can be achieved under the condition that the detection accuracy is guaranteed.

1. Name of the design product: Graphical user interface for glaucoma gait feature setting of an electronic device. 2. Use of the design product: An electronic device. 3. Design key points of the design product: Lies in the graphical user interface. 4. Picture or photo that best shows the design key points: The front view of Design 1. 5. The electronic device is of a conventional design, and the rear view, left view, right view, top view, and bottom view are omitted. 6. Design 1 is designated as the basic design. 7. Use of the graphical user interface: The front view of Design 1 is the operation interface for logging in to the glaucoma gait feature construction system. The user clicks "Glaucoma-1" in the front view of Design 1 to enter Figure 1 of the interface state change of Design 1. The user clicks "01-1" in Figure 1 of the interface state change of Design 1 to enter Figure 2 of the interface state change of Design 1. The user clicks "celling light" in Figure 2 of the interface state change of Design 1 to enter Figure 3 of the interface state change; The front view of Design 2 is the operation interface for logging in to the glaucoma gait feature construction system. The user clicks "Glaucoma-1" in the front view of Design 2 to enter Figure 1 of the interface state change of Design 2. The user clicks "01-1" in Figure 1 of the interface state change of Design 2 to enter Figure 2 of the interface state change of Design 2. The user slides the left menu in Figure 2 of the interface state change of Design 2 and then clicks "Targets" to enter Figure 3 of the interface state change of Design 2; The user clicks "01Chest" in Figure 3 of the interface state change of Design 2 to enter Figure 4 of the interface state change of Design 2; The front view of Design 3 is the operation interface for logging in to the glaucoma gait feature construction system. The user clicks "Glaucoma-1" in the front view of Design 3 to enter Figure 1 of the interface state change of Design 3. The user clicks "01-1" in Figure 1 of the interface state change of Design 3 to enter Figure 2 of the interface state change of Design 3. The user slides the left menu in Figure 2 of the interface state change of Design 3 and then clicks "shengao" to enter Figure 3 of the interface state change of Design 3; The front view of Design 4 is the operation interface for logging in to the glaucoma gait feature construction system. The user clicks "Glaucoma-1" in the front view of Design 4 to enter Figure 1 of the interface state change of Design 4. The user clicks "01-1" in Figure 1 of the interface state change of Design 4 to enter Figure 2 of the interface state change of Design 4. The user slides the left menu in Figure 2 of the interface state change of Design 4 and then clicks "f666d6de-10c9-4c0f-8b" to enter Figure 3 of the interface state change of Design 2. 8. Other situations that need to be explained: Other explanations: The gray part in the picture is variable content. It can display different contents according to the user's personalized operations.

The invention discloses a multi-dimensional test case generation method and device, and relates to the technical field of test case generation, and the method comprises the steps: building a unified causal diagram model through analyzing a schematic circuit diagram, designing a constraint document, simulating data and other multi-source inputs according to the verification demands of a complex electronic system, and automatically generating a multi-dimensional test case, the technical problems that in related technologies, model type dependency is high, natural language constraint analysis operation is lacked, schematic diagrams, design specifications, signal integrity simulation and other data generated in the design stage exist in an isolated mode, overrun scenes are ignored, and the scene coverage local limit is high are solved, and the purpose that multi-source design data are fused, so that the design efficiency is improved is achieved. The unified causal graph model is constructed, and the complete expression of the design intention and the dominance of the implicit knowledge are realized, so that the technical effects of remarkably improving the coverage range of the test scene and the utilization efficiency of the test resources are achieved.

The invention discloses a layout parameterization hierarchical parallel mesh generation method based on Net. The method comprises the following steps: inputting a layout design file, analyzing hierarchical structure identification ports, generating a port set P and creating an accessed port set V (initial V =); a graph G = (VG, EG) is constructed, VG comprises key vertexes or geometric centers of ports and conductor fragments, an electrically independent Net is generated through traversal of a breadth-first search algorithm or a depth-first search algorithm, and iteration is performed until V is completely equal to P; configuring independent subdivision parameters such as a grid size and a grid algorithm for each Net; net is used as an independent task, grids are divided through parallel computing frameworks such as multithreading, and a complete grid file for subsequent simulation is generated after merging. According to the method, Net automatic identification is realized through graph theory analysis; different Net precision requirements are adapted by differential subdivision parameters, so that waste of computing resources is avoided; through parallel processing, the time consumption of layout grid division is shortened to the time consumption of processing the maximum Net, and the efficiency and the flexibility of simulation pre-processing are remarkably improved.

The invention discloses a modeling method for each stage of a bridge based on meta-components. The method comprises the following steps: constructing a bridge full-life-cycle digital representation description rule based on the meta-components; developing a meta-component model in a construction drawing design stage; performing simplification and recombination on the basis of the meta-component model of the construction drawing design stage, and generating models of a preliminary design stage and a planning stage; carrying out refined expansion on the basis of the meta-component model of the construction drawing design stage, and generating models of a construction stage and an operation stage; and establishing a full-cycle model management system. According to the modeling method for each stage of the bridge based on the meta-components, the full-life-cycle digital representation description rule is constructed, the meta-component models in the construction drawing design stage are developed, effective conversion of models in different stages is achieved, and a full-cycle model management system is established; the problems of low efficiency and the like caused by incomplete information transmission and repeated model creation in the prior art are solved.

The invention discloses a malicious code control flow feature extraction method based on a graph neural network. The method comprises the following steps: constructing a control flow graph, a data flow graph and a function call graph; designing a drawing neural network architecture; training a graph-level classifier; performing graph interpretation by using a GNNExplainer algorithm, attention mechanism analysis and a gradient analysis method; converting the extracted control flow mode into a structured detection signature, and mapping the structured detection signature to an original binary code; and integrating with a static analysis tool through a standardized interface. The invention further discloses a malicious code control flow feature extraction system based on the graph neural network. Multi-level graph structure representation is constructed, important information such as a control flow structure and a data dependency relationship is fully reserved, the deep structure similarity of malicious codes can be recognized, the deformation resistance is higher, and therefore the malicious code detection precision is improved; according to the method, key sub-graphs can be recognized, graph structure features are converted into detection rules, then the detection rules are integrated with existing static analysis tools, and practicability is improved.

1. Name of this design product: Graphical user interface for operation and maintenance monitoring of electronic equipment. 2. Purpose of this design product: an electronic device. 3. The key design point of this design product lies in the part of the graphical user interface in the electronic device for which protection is sought. 4. The picture or photo that best illustrates the key points of the design: Main view of Design 1. 5. The electronic devices of Design 1-Design 7 are conventional designs, and other figures of Design 1-Design 7 are omitted. 6. Designate Design 1 as the base design. 7. Purpose of the graphical user interface: The product interface of Design 1-Design 7 is an interface for displaying and interacting with the operation and maintenance monitoring of communication equipment; it is used to display the status and details of user communication components; in the main view interface of Design 1, click any device button to enter the display interface change status diagram 1; in the interface change status diagram 1 interface, click the alarm button to enter the order interface, and display the interface change status diagram 2; in the main view interface of Design 2, click the device data overview button (the second button from left to right among the seven buttons in the upper middle part of the interface) to enter the display interface change status diagram; the product interface of Design 3-7 is an interface for displaying and interacting with the operation and maintenance monitoring of communication equipment. Click the interface buttons to view specific device information, alarm information, etc. The gray area in the interface of Design 1-Design 7 is the map content screen.

The invention provides a supply chain risk prediction method and device based on a graph neural network, and the method comprises the steps: S1, processing risk propagation sequence data during supply chain risk propagation into graph structure data, and obtaining a supply chain network time sequence risk propagation topological graph; s2, designing a deep neural network model, combining a graph convolutional neural network and a recurrent neural network in a series connection mode, and finally connecting a multi-layer perceptron in series; s3, a multi-population Memetic algorithm is utilized to train the deep neural network model, the multi-population Memetic algorithm is that a population of the Memetic algorithm is divided into a plurality of subgroups, and the subgroups are independently evolved through evolutionary operators; and S4, using the trained deep neural network model to predict the number of enterprises increased by infected nodes in a window T in a future period of time. According to the supply chain risk prediction method based on the graph neural network provided by the invention, more accurate and efficient risk prediction is realized, and a manager is helped to take measures in advance to reduce loss.

The invention discloses a communication chip layout defect automatic identification method based on artificial intelligence. The method comprises the following steps: analyzing a communication chip layout design file; executing design rule check and parameter extraction; an improved NCA model is constructed, state initialization is completed, and a fast-scale update parameter set and a slow-scale update parameter set are generated; executing iterative evolution based on the fast-scale updating parameter set and the slow-scale updating parameter set, and outputting an evolution intermediate representation set; conditional modulation is carried out on an update function of the improved NCA model; constructing a graph neural network topology consistency verification mechanism, and generating a verified defect region set; and performing defect discrimination and labeling, and outputting a defect type set, a defect distribution heat map and a defect coordinate set. According to the method, the communication chip layout defect identification accuracy is improved, and the cross-layer connectivity verification capability is enhanced.

1. The name of the design product: labor salary statistics graphical user interface for electronic equipment. 2. The use of the design product: an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The design points only lie in the graphical user interface, and the other views of the product are of ordinary design. The other views of the product are omitted. 6. The use of the graphical user interface: for the statistics and query of salary report data. 7. The human-computer interaction mode of the graphical user interface: clicking the "report" button in the upper left corner of the front view can display "interface change state diagram 1"; clicking the "view" button under the "farmer worker monthly salary details table" in the left list in "interface change state diagram 1" can display "interface change state diagram 2". 8. Other circumstances that need to be explained: the text and numbers in each view can be displayed according to the actual situation.

1. The name of the design product: electronic device with cartoon image dynamic online customer service consultation user interface. 2. The use of the design product: an electronic device. 3. The design points of the design product: the content of the graphical user interface in the screen. 4. The picture or photo that best indicates the design points: design 1 front view. 5. The entity product is a common design, and other views are omitted. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: the design product is used for enterprise website platform consultation. When users visit the website, they can conduct online consultation by clicking different buttons of online customer service on the page. 8. The human-computer interaction mode of the graphical user interface: design 1 front view, design 2 front view, design 3 front view, and design 4 front view are all initial interface diagrams; design 1 interface change state diagram is the interface change state diagram based on design 1 front view, automatically scrolling complete subtitles and automatically playing IP image animation, wherein the enterprise IP image circulates to welcome users by opening hands, and the left side circulates to display "xxxx company welcomes you!" subtitles from bottom to top; design 2 interface change state diagram is the interface change state diagram based on design 2 front view, moving the mouse to the blue telephone icon, wherein the consultation hotline is displayed, and the telephone information can be copied through the mouse; design 3 interface change state diagram is the interface change state diagram based on design 3 front view, moving the mouse to the blue email icon, wherein the email information is displayed; design 4 interface change state diagram is the interface change state diagram based on design 4 front view, moving the mouse to the blue communication icon, wherein the scan code information and text are displayed.

The invention discloses a function diagram generation method and a related device, and the method comprises the steps: firstly obtaining design information which refers to information used for designing a function diagram of a digital control system (DCS) of a nuclear power plant, then analyzing the design information, obtaining configuration information of a plurality of network points, and generating a function diagram according to the configuration information; the plurality of network points refer to connection points for connecting different functional blocks, so that errors caused by manual configuration can be effectively reduced and the security of functional diagram application can be improved by automatically identifying the configuration information, and finally, the configuration information of the plurality of network points is matched with the pre-constructed template library, so that the security of functional diagram application is improved. According to the technical scheme, the function diagram corresponding to the design information can be directly generated, then standardization of the function diagram can be achieved through the template, the situation that drawings corresponding to the same function are inconsistent is avoided, and compared with a manual function diagram design mode in the related technology, the efficiency, safety and normalization of function diagram design are effectively improved.

1. The name of the design product: the graphical user interface of the device upgrade display of the electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: the protected part of the graphical user interface in the electronic device. 4. The picture or photo that best indicates the design points: design 1 front view. 5. The electronic devices of design 1-design 4 are common designs, and other views of design 1-design 4 are omitted. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: the product interface of design 1-design 4 is the interface for the display and interaction of device upgrade; for upgrading the version of BMS device; in the interface of design 1 front view, after clicking the square box on the left side of the upgrade file, the interface change state diagram 1 is displayed; in the interface of design 2 front view, after clicking the management button, the interface change state diagram 1 is displayed; in the interface of design 3 front view, after clicking the upload file button, the interface change state diagram 1 is displayed; in the interface of design 4 front view, after clicking the upgrade log button, the interface change state diagram 1 is displayed.

Provide appropriate layout information. [Solution] The layout design support device 100 comprises an estimation means and an output means. The estimation means is a trained model for inferring layout information, which includes layout items used for designing the layout of a facility for manufacturing a product, from condition information, which includes condition items representing the conditions for manufacturing a product. The estimation means applies the condition information to the trained model generated by a neural network to estimate the layout information. The output means outputs the layout information estimated by the estimation means.

1. Name of the product in this design: Human-computer interaction interface (ion flow) for cosmetic medical devices. 2. Intended use of this design: for use in an electronic device. 3. The key design features of this product are its graphical user interface. 4. The image or photo that best illustrates the design points: Design 1 Interface Change State Diagram 3. 5. Design 1 is designated as the basic design. 6. Uses of graphical user interfaces: for human-computer interaction in aesthetic and medical devices. 7. Description of the changing states of the graphical user interface: The main view of Design 1 is the interface after the system is opened, including three modes: Whitening, Wrinkle Removal, and Acne Treatment. Design 1 Interface Change State Figure 1 shows the interface after selecting Whitening mode in the main view, including two handles, Enter key, back key and settings key. Design 1 Interface Change State Diagram 2 shows the interface with two handle treatment heads after selecting the handle in Design 1 Interface Change State Diagram 1. Design 1 Interface Change State Diagram 3 is the beauty interface diagram after selecting the handle in Design 1 Interface Change State Diagram 2. Design 1 Interface Change State Figure 4 is the interface after selecting "CW" mode in Design 1 Interface Change State Figure 3. Design 2 Interface Change State Figure 4 is the interface after selecting "Pulse" mode in Design 2 Interface Change State Figure 3. Design 3 Interface Change State Diagram 4 shows the state diagram used after selecting the "CW" mode in Design 3 Interface Change State Diagram 3. Design 4 Interface Change State Diagram 4 is the state diagram used after selecting "Pulse" mode in Design 4 Interface Change State Diagram 3. Design 5 Interface Change State Diagram 4 is a detailed treatment head usage state diagram after selecting the "CW" mode in Design 5 Interface Change State Diagram 3. Meanwhile, the interface content of Design 1 main view, Design 2 main view, Design 3 main view, Design 4 main view, and Design 5 main view is the same, so the explanation is omitted. Meanwhile, the interface content of Design 1, Design 2, Design 3, Design 4, and Design 5 is the same, so the explanation is omitted. Meanwhile, the interface content of Design 1 Interface Change State Diagram 2, Design 2 Interface Change State Diagram 2, Design 3 Interface Change State Diagram 2, Design 4 Interface Change State Diagram 2, and Design 5 Interface Change State Diagram 2 is the same, so the explanation is omitted. Meanwhile, the interface content of Design 1 Interface Change State Diagram 3, Design 2 Interface Change State Diagram 3, Design 3 Interface Change State Diagram 3, Design 4 Interface Change State Diagram 3, and Design 5 Interface Change State Diagram 3 is the same, so the explanation is omitted.

1. Name of the product in this design: Graphical User Interface for Displaying Airline Ticket Scene on Electronic Devices. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photo that best illustrates the design points: Design 1 Interface Change State Diagram. 5. Design 1 is designated as the basic design. 6. Human-computer interaction method of graphical user interface: Swipe up on the main view of Design 1 to enter the interface change state diagram of Design 1; the interaction method of Design 2 and Design 3 is the same as that of Design 1. Based on the user's behavior, the main views of Design 1 to Design 3 are displayed accordingly; the interface change state diagrams of Design 1 to Design 3 can be interacted with by sliding the card module in the middle area left and right. 7. Other situations requiring explanation: Refer to the following diagrams: The main view reference diagrams for Design 1 to Design 3 are the reference diagrams for the main view diagrams of Design 1 to Design 3, and the interface change state reference diagrams for Design 1 and Design 2 are the reference diagrams for the interface change state diagrams of Design 1 and Design 2, respectively. 8. Other situations requiring explanation: In the interface, "X" and "text" represent variable numbers or text, and a single gray block represents the content screen.

1. Name of the design product: Desk (7). 2. Use of the design product: For learning. 3. Design key points of the design product: Lies in the shape. 4. Picture or photograph that best shows the design key points: Perspective view of Design 1. 5. The bottom surface of this design product is a part that is not easily seen or not seen during use, so the bottom views of Design 1, Design 2, Design 3, and Design 4 are omitted. 6. Design 1 is designated as the basic design.

The invention relates to an industrial equipment multi-dimensional sensor data anomaly identification method based on a multi-level adaptive attention network. The invention relates to the technical field of industrial equipment monitoring and intelligent diagnosis. The method comprises the following steps: preprocessing and segmenting multi-dimensional sensor data; constructing an industrial equipment association diagram, and designing a time sequence adaptive weight mechanism and an inter-equipment association degree adaptive adjustment mechanism; establishing a graph convolution feature aggregation network, and determining aggregation features; designing a global abnormal source positioning mechanism to obtain weighted global features; probability density transformation modeling is carried out, and conditional probability density estimation is carried out; and determining an anomaly score and a threshold value, and performing multi-dimensional anomaly interpretation and positioning based on the multi-level attention weight. According to the method, the physical connection relation and the operation state relevance of the industrial equipment are organically combined, and the accuracy of anomaly detection and the identification capability of fault propagation between the equipment are improved.

1. The name of the design product: multifunctional integrated ironing machine (YF668-1). 2. The use of the design product: for object surface ironing patterns or text. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1. 5. The rear view design points have been embodied in other views, omit the rear view, the change state rear view; the bottom surface of the design product is a part that is not easy to see or cannot be seen during use, omit the top view, the change state top view.

1. Name of this design product: Bulldozer control graphical user interface for electronic equipment. 2. Purpose of this design product: an electronic device. 3. The key design point of this design product lies in the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: main view. 5. The design focus lies only in the graphical user interface. Other views of the product are conventional designs, and the rear view, left view, right view, top view, and bottom view are omitted. 6.Purpose of the graphical user interface: used to view the operating status of the bulldozer and control the bulldozer. 7. Human-computer interaction mode of the graphical user interface: In the main view, click the fourth "Menu" icon at the bottom to enter the interface change state diagram 1. Click "Information Query" in the interface change state diagram 1 to enter the interface change state diagram 2. 8. Other circumstances that require explanation: The text and numbers in each view of the design for which protection is requested may be displayed according to actual circumstances.

1. Name of the product in this design: Graphical User Interface for Displaying the Process Configuration of Electronic Equipment. 2. Purpose of this design: An electronic device. 3. The key design features of this product are the graphical user interface portion of the electronic device for which protection is sought. 4. The picture or photo that best illustrates the key design points: Design 1 main view. 5. The electronic devices in Designs 1-5 are conventional designs, and other views are omitted. 6. Design 1 is designated as the basic design. 7. Purpose of the graphical user interface: The product interfaces of Design 1-Design 5 are interactive interfaces for displaying the configuration of industrial visualization processes; the interface is used to configure dynamic and interactive characteristics in HMI configuration, and corresponding operations can be performed by clicking the toolbar on the left side of the interface or the settings bar on the right side of the interface.