6691 results about "State diagram" patented technology

The invention discloses a mine rescue training and danger dynamic simulation method based on virtual reality, and the method comprises the following steps: S1, modeling a rescue process into a directed graph structure, and outputting a task state diagram bound with a virtual reality scene; s2, collecting an operation behavior, a task state, an environmental parameter and a physiological response, and constructing a training state vector; s3, inputting the state vector into the deep Q network to calculate a jump node evaluation value, and outputting a jump node; s4, modeling the control rule as a rule node, constructing a directed acyclic graph, binding a weight, and outputting a rule graph; s5, performing self-evolution on the rule atlas according to training feedback, and outputting an evolution structure; s6, reasoning in the evolution rule map, fusing the rule recommendation node and the jump node, and outputting a final task node; and S7, executing jump control according to the final node, loading a virtual scene, and pushing environment parameters, task contents and risk information. According to the invention, intelligent path decision and training process adaptive optimization of the mine rescue task are realized.

The invention discloses a task scheduling method based on predictable resource state atlas modeling, a platform is oriented to a heterogeneous computing environment, a unified resource state atlas is constructed by collecting multi-dimensional resource state parameters of computing nodes, and performance characteristics and communication topological relations among the nodes are comprehensively described. On the basis, a bidirectional time sequence model and an attention mechanism are fused, and the load trend of each node in a future short time is predicted. The platform constructs a multi-factor scheduling scoring function based on a task feature vector and resource state prediction map, integrates parameters such as resource matching degree, prediction load, communication delay and energy consumption cost, dynamically evaluates the adaptability of tasks and resources, and realizes adaptive scheduling and optimal resource allocation of the tasks. Compared with the prior art, the method has the advantages of being high in resource state predictability, high in task allocation intelligence degree, outstanding in platform evolution capability and the like, and is suitable for intelligent task scheduling application in a large-scale heterogeneous resource environment.

The invention relates to the field of vehicle-mounted equipment optimization, in particular to a vehicle-mounted equipment optimization method and system based on firmware updating. The method comprises the following steps: carrying out running state full monitoring on a vehicle-mounted firmware module, carrying out multi-behavior state sensing modeling, and constructing a firmware behavior state map; performing dynamic change trend analysis on the firmware behavior state graph, performing performance attenuation situation modeling, and constructing a performance attenuation situation curve; based on the performance attenuation situation curve, code-level program root cause analysis is carried out, firmware optimization target quantification is carried out, and firmware optimization demand data is generated; based on the firmware optimization demand data, multiple optimization direction decisions are made, multi-index optimization solution is carried out, and a firmware optimization task list is constructed; and performing firmware configuration update parameter simulation based on the firmware optimization task list to obtain a configuration update parameter scheme. According to the method, the optimal progressive equipment updating is realized, and the reliability and deployment safety of the vehicle-mounted equipment are improved.

The invention relates to the technical field of automatic driving, in particular to a driving control method and system for an unmanned electric tractor, and the method comprises the following steps: obtaining humidity data to generate a state diagram, judging slip to trigger traction adjustment based on the state diagram, analyzing a slope recognition risk to generate a slope parameter, and reading a braking force to judge, coordinate and generate a distribution instruction. According to the method, the humidity difference is obtained through multi-point soil humidity monitoring, distribution characteristics are extracted, accurate sensing of the state of an operation area is achieved, the wheel rotating speed and traction force signals are combined, slipping is recognized in advance, the traction force is dynamically adjusted, and the driving force is kept stable; based on joint analysis of gradient change and vehicle state, slope risk is recognized in advance, optimization control is performed, braking force of front and rear wheels is dynamically distributed, slippage caused by unbalance is avoided, safety of complex terrains is improved, and vehicle stability, path control precision and energy utilization efficiency are improved through cooperation of multi-dimensional data perception and dynamic prediction.

The invention discloses a vulnerability closed-loop disposal method and system based on intelligent collaboration, and belongs to the technical field of information security management. Vulnerability data and disposal information in a plurality of independent security systems are collected, and a multi-dimensional vulnerability semantic model is constructed; constructing a state perception graph based on a semantic model, extracting candidate state paths, and constructing a time sequence closed-loop prediction model in combination with a shortest closed-loop path and a historical track; according to a vulnerability influence range, a service dependency chain and a prediction path key node, adaptively dividing responsibility affiliation, generating a dynamic disposal responsibility graph and realizing automatic assignment; combining the node response capability and the task saturation, dynamically calculating the priority and scheduling the processing task; monitoring an actual disposal behavior, correcting an edge weight of the state diagram in real time and updating the model; according to the method, the whole-process intelligence, collaboration and dynamic evolution of vulnerability management are realized, and the processing efficiency and the prediction precision are improved.

The invention relates to a side cloud collaborative adaptive workflow scheduling method and system, and belongs to the technical field of distributed computing and artificial intelligence. The method comprises the following steps of: firstly, in a macroscopic candidate screening stage, reducing problem granularity through task clustering, and obtaining balance between utilization and exploration based on a weighted distance probabilistic preferential strategy; then, in a collaborative scheduling decision-making stage, a global network state diagram is constructed through a graph neural network, deep spatial features of nodes and neighborhoods of the nodes are extracted, context-aware state representation is formed, and a reinforcement learning agent makes an optimal collaborative decision in multiple options such as local execution, edge migration or cloud unloading according to the state representation; and finally, in a local adaptive optimization stage, performing fine-grained optimization after the task is issued, dynamically adjusting a scheduling frequency and a multi-target weight through an online learning mechanism, realizing balance between a task deadline and a resource utilization rate, and ensuring efficient and robust execution of a node level.

The invention relates to the technical field of hydraulic support intelligent supporting scheme design, in particular to a hydraulic support intelligent supporting method and system and electronic equipment. The method comprises the following steps: collecting roof pressure, bracket attitude and geological structure parameters in real time through a multi-modal sensor array; performing spatio-temporal feature fusion by utilizing the edge computing nodes to generate a three-dimensional support state map; constructing a dynamic weight adjustment strategy based on a reinforcement learning algorithm, and generating multi-objective optimization support parameters; a control instruction is issued through a dual-mode communication network to realize self-adaptive adjustment of the supporting strength; and a closed-loop feedback verification mechanism is established in combination with the laser radar scanning roof sinkage. And a digital twin model and an energy consumption optimization function are integrated. The problems that a traditional method is single in data dimension, rigid in decision and insufficient in reliability are solved, dynamic optimization of support parameters, active prevention and control of risks and collaborative improvement of energy efficiency are achieved, and the support safety and the intelligent level under complex working conditions are remarkably improved.

The invention relates to the field of resource management, and discloses a park resource scheduling method and device and a medium, and the method comprises the steps: constructing a park resource agent cluster based on park resource information; constructing a resource space-time state diagram based on a preset rule of the park resource agent cluster and the park resource information; based on a pre-constructed strategy cooperation rule and the resource space-time state diagram, determining an initial scheduling strategy of the resource scheduling event when the plurality of resource scheduling events are triggered; and optimizing the initial scheduling strategy through a multi-target optimization model to obtain a target scheduling strategy of the resource scheduling event. By constructing the agent cluster, when the resource scheduling event is triggered, the initial scheduling strategy can be quickly generated through the resource space-time state diagram of the park resource agents, the initial scheduling strategy is optimized when the resource scheduling conflict occurs, and the resource scheduling efficiency is improved while the current resource scheduling event is met. And optimizing resource scheduling strategies of the current resource scheduling event and other resource scheduling events.

The invention relates to the technical field of air tightness detection, in particular to a diaphragm type energy accumulator air tightness detection method which is used for solving the problems that in the prior art, equipment operation characteristics cannot be accurately described, typical defect modes cannot be recognized in combination with spectral clustering, and a quantitative basis cannot be provided for equipment fault trend analysis and intelligent maintenance. The method comprises the following steps: constructing a low-dimensional state map to describe equipment operation characteristics, identifying typical defect modes in combination with spectral clustering, establishing a nonlinear correlation model to reveal a defect evolution relationship, optimizing classification model parameters by adopting an evolutionary algorithm, improving the identification accuracy, mining a most probable defect evolution path based on a transition probability matrix, and improving the identification efficiency. And a quantitative basis is provided for equipment fault trend analysis and intelligent maintenance.

The invention provides a distributed computing task office resource allocation method and device, equipment and a medium. The method comprises the following steps: in response to a received distributed computing task of an office scene, obtaining a type identifier of the distributed computing task, and associating the type identifier with a preset task stage template; monitoring a current stage identifier of the task process based on the constructed global state graph, and generating an execution stage migration event containing a target stage identifier when detecting that the logic state identifier is changed; matching a resource demand baseline of the target stage identifier according to the task stage template, and generating a target stage resource demand prediction value in combination with the global state map; and traversing the residual resource quantity of all the nodes in the global state map, screening a candidate node set meeting the resource demand predicted value of the target stage, and generating an optimal scheduling strategy based on the data locality parameter and the hardware suitability parameter of each candidate node in the candidate node set. By adopting the method, the execution efficiency of the distributed computing task can be improved.

The invention belongs to the field of electric power, and provides a method for performing operation and maintenance on power grid assets based on a large reasoning model, comprising the following steps: collecting multi-source operation data of the power grid assets; constructing a power grid topological structure, and forming a power grid operation state diagram; performing targeted training and optimization on the pre-trained reasoning model to ensure that the running state prediction output by the reasoning model meets the electrical feasible region; enabling the reasoning model to automatically avoid maintenance schemes which do not accord with the load curve, the reserve capacity and the scheduling approval in the reasoning process; optimizing the inference model through a chain type inference loss function, so that the inference model can predict the linkage effect of the equipment fault; and based on an output result of the reasoning model, generating a maintenance action sequence which accords with a feasible region of the power grid maintenance period and can minimize risk conduction. According to the method, the operation and maintenance efficiency of the power grid assets is improved.

1. Name of the product of this design: Dynamically activated graphical user interface with voice keyboard for electronic devices. 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: Design 3 interface change state diagram 5. 5. Designate Design 3 as the base design. 6. Purpose of the graphical user interface: The purpose of the interface is to select and start the dynamic change process of the voice keyboard according to user operations, collect the user's voice and convert it into text. 7. Human-computer interaction method of graphical user interface: In Design 1, the main view is the main interface displayed by the electronic device. When the user clicks the input box in the main view, the interface jumps to interface change state diagram 1, interface change state diagram 2, interface change state diagram 3 and interface change state diagram 4 in sequence. In Design 2, the main view is the main interface displayed by the electronic device. When the user long presses the circular microphone icon in the main view, the interface jumps to Interface Change State Diagram 1, Interface Change State Diagram 2, and Interface Change State Diagram 3 in sequence. In Design 3 and Design 4, the main view is the main interface displayed by the electronic device. When the user clicks the input box in the main view, the interface jumps to Interface Change State Diagram 1 and Interface Change State Diagram 2 in sequence; when the user long presses the circular microphone icon in Interface Change State Diagram 2, the interface jumps to Interface Change State Diagram 3, Interface Change State Diagram 4 and Interface Change State Diagram 5 in sequence.

The invention discloses a computer resource scheduling optimization method based on artificial intelligence, and relates to the technical field of computer resource allocation, and the method comprises the steps: constructing a twinborn computer space, marking twinborn collection ends, and collecting resource use data; constructing an original coordinate system according to the resource use data and performing state generation to obtain a resource use state diagram; performing traversal check on the resource use state diagram to obtain a periodic fluctuation segment, and performing resource quantification through a twin computer space to obtain a fluctuation proportion accommodating frame; monitoring and deploying the CPU based on the twinborn computing space to obtain virtual deployment resources, applying the virtual deployment resources to the computer, and generating an optimal scheduling strategy according to the application process; resource allocation is optimized, the CPU utilization rate is improved, computer operation pressure is reduced, and idle or overuse of resources is avoided.

1. The name of the design product: asset allocation graphical user interface for electronic device and its main body. 2. The use of the design product: an electronic device. 3. The design points of the design product: the part in the graphical user interface, the part outside the dotted line is the claimed part. 4. The picture or photo that best shows the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: the overall interface is used to adjust asset allocation for financial planning; the use of the claimed part of the interface is the same as that of the overall interface. 7. The human-computer interaction mode of the graphical user interface: in design 1 front view, the user can search for content in the search bar, click the "save for 30 days" or "save for 90 days" option control to switch the deposit period, slide the joystick control on the slide rail left and right to adjust the deposit amount and view the corresponding estimated interest, and click the "transfer to "save and take out"" control to complete asset allocation. In design 2 front view, the user can search for content in the search bar, click the "save and take out" or "save for 30 days" option control to switch the deposit period, slide the joystick control on the slide rail left and right to adjust the deposit amount and view the corresponding estimated interest, and click the "transfer to "90 days"" control to complete asset allocation. The human-computer interaction mode of design 3 is the same as that of design 1. In design 4 front view, when the user clicks the "save for 90 days" option control to switch the deposit period, the cartoon figure's hand on the barbell and expression change (the shorter the deposit period, the lower the interest rate, and the more relaxed the cartoon figure's expression; the longer the period, the higher the interest rate, and the more difficult the cartoon figure's expression), presenting the interface change from design 4 front view to design 4 interface change state diagram. In design 5 front view, when the user long-presses the joystick control on the slide rail and slides it to the right, the deposit amount and the corresponding estimated interest are changed, presenting the interface change from design 5 front view to design 5 interface change state diagram. The human-computer interaction mode of design 6 is the same as that of design 1.

The invention relates to the technical field of generators, and provides an intelligent speed regulation universal generator system, which is characterized in that a global sensing module performs fusion processing on static characteristic parameters and dynamic characteristic parameters of a prime mover and parameter data of a universal generator, and realizes unified representation of the state of the whole system in combination with sensing state diagram construction; the working condition prediction module realizes short-term, medium-term and long-term layered trend prediction based on a multi-branch structure of a long-short-term memory network and a graph attention network, and ensures that a speed regulation strategy adapts to working condition evolution in advance; the target optimization module constructs operation constraint conditions based on static characteristic parameters of a prime mover, generates an elastic constraint boundary through Bayesian reasoning, and effectively improves the operation efficiency by combining dynamic adjustment of a working condition evolution trend; the execution scheduling module verifies instruction time sequence matching through dynamic time warping, and adjusts execution gain in combination with dynamic characteristic parameters of a prime motor and a load change rate, so that the self-adaptive operation capability of a generator system under complex working conditions is remarkably enhanced.

The embodiment of the invention discloses a digital management method and system for a main and distribution network project. The method comprises the following steps: performing project information structured modeling on a full life cycle of a target main and distribution network project to obtain a project stage node index model; chain type tracking analysis is carried out on the engineering stage nodes, an information interaction rule and a data transmission path are established, and a data flow topological graph is obtained; extracting front-end node state layer information and rear-end engineering monitoring layer information based on a front-end and rear-end separation strategy; and constructing a multi-dimensional influence factor association network by using the information to perform risk evolution path deduction and risk event simulation to obtain a simulation result and generate a cross-node cooperative response strategy. According to the embodiment of the invention, through the digital support of the node chain type tracking and the front and back end separation architecture, the data island of each stage of the main and distribution network project is eliminated, the cooperation efficiency of the project management is improved, and the controllability of the whole life cycle process is enhanced.

The invention belongs to the technical field of model-driven system engineering and intelligent system modeling, and particularly relates to a test requirement formalized design method based on primitive intelligent extension. The method comprises the following steps: obtaining a semantic map, and defining semantic nodes in the semantic map as type modules or intelligent modules; instantiating the type module to obtain a type model instance node, and instantiating the intelligent module to obtain an intelligent model instance node; organizing the type model instance nodes and the intelligent model instance nodes into a model graph; constructing an extended state primitive, constructing a plurality of interactive combination states based on the extended state primitive, defining an intelligent migration mechanism and constructing an extended state machine diagram; respectively testing the model diagram and the expansion state machine diagram, and if the model diagram and the expansion state machine diagram are tested to be qualified, exporting the model diagram and the expansion state machine diagram; the method can solve the problems of dynamic behavior description fragmentation, multi-agent interaction mechanism stiffness and insufficient model reusability of a traditional system modeling language in intelligent system modeling.

1. Name of the design product: Display screen with an interactive grid of animated graphical user interfaces for user connection and engagement. 2. Purpose of this design product: a display screen. 3. The key design points of this design product lie in the solid line part of the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: main view. 5. Purpose of the graphical user interface: It is used for users to connect and participate in activities. The local purpose for which protection is requested is for users to enter information in the grid to interact with the interface. 6. Human-computer interaction method of the graphical user interface: The user operates "Start XXXXX" in the main view by clicking, sliding, or touching, etc., entering the change state diagram 1. The user interacts with the interface by entering information in the grid squares (such as placing icons) (such as filling the squares), and then enters the interface shown in the change state diagram 2-5. Once the interaction is completed (such as completing the filling of the squares), the interface changes to the interface shown in the change state diagram 6.

1. Name of the product of this design: Graphical user interface for viewing photo gifts on electronic devices. 2. Purpose of this design product: an electronic device. 3. The key design features of this design product lie in the part within the graphical user interface; the portion outside the dotted line is the portion for which protection is sought. 4. The picture or photo that best illustrates the key points of the design: Design 1 interface change state diagram 1. 5. Designate Design 1 as the base design. 6. Purpose of the graphical user interface: used for gift viewing interaction, and the local use that needs to be protected is used for viewing and photographing gifts. 7. Human-computer interaction method of graphical user interface: In Design 1, the main view of Design 1 is the gift panel interface. When the user clicks the " " control at the top of the Design 1 main view interface panel, the user can enter the preview selection interface of the photo gift effects sent / received by the user, and the interface changes from the Design 1 main view to the Design 1 interface change state diagram 1 are presented. When the user clicks the expansion control in the upper right corner of the photo gift picture currently selected on the interface, the user can view the preview effect after the gift is sent, showing the interface changes from Design 1 Interface Change State Diagram 1 to Design 1 Interface Change State Diagram 2. The human-computer interaction description of Design 2 is the same as that of Design 1. In Design 3, the main view of Design 3 is the gift-giving panel interface. When the user clicks the " " control at the top of the Design 3 main view interface panel, the user can enter the preview selection interface of the photo gift effect sent / received by the user, and the interface change from the Design 3 main view to the Design 3 interface change state diagram 1 is presented. When the user clicks on any of the historical sent / received photo gift options at the bottom of the interface, the user can zoom in to view the selected photo, and the photo can be switched by swiping left or right, presenting the interface changes from Design 3 interface change state diagram 1 to Design 3 interface change state diagram 2. The human-computer interaction description of Design 4 is the same as that of Design 3.

The invention is suitable for the field of intelligent building construction, and provides an intelligent building monitoring management method and system for multi-service fusion, and the method comprises the steps: collecting multi-dimensional data in real time, and constructing a preparatory resource pool; generating a space state atlas by combining the building digital twin model; performing multi-objective optimization deduction based on the atlas to generate an elastic collaborative resource scheduling scheme; during execution, the self-reflection adjustment is triggered through real-time comparison; and finally arranging the effective mode into a standardized treatment process. The system comprises a multi-dimensional data acquisition module, a digital twinborn fusion analysis module, an elastic cooperative scheduling module, a self-reflection adjustment module and an efficiency analysis module. According to the invention, dynamic and elastic management under multi-service fusion is realized, and the building management efficiency and toughness are improved.

The invention relates to the technical field of data management systems and methods of classification numbers G06Q, and provides a traceable management system and method based on an aquaculture industry service platform. Comprising a server, a mobile data anchoring device, a detachable traceability label module, a life cycle state management module, an event hash and anchor verification module and a block chain intelligent verification module. The detachable traceability label module is used for identifying the identity and life cycle state of a breeding individual and triggering a state change event in a disassembly behavior; the mobile data anchoring device collects data of the key node and forms an anchor point record; the life cycle state management module maintains a life cycle logic state diagram of each individual and verifies whether uploading of all events is compliant or not; the event hash and anchor verification module encapsulates all behavior nodes into a structured hash event, and compares and verifies the structured hash event with a current state diagram to form a credible anchor; and the block chain intelligent verification module performs contract-level verification on the event hash and the state path.

The invention discloses an intelligent material information management method and device based on LangGraph and multiple agents. The method comprises the steps that an unstructured material description text input by a user is acquired; calling a preset LangGraph state diagram to drive a plurality of agents to perform feature analysis, attribute extraction, multi-level category classification and attribute standardization on the unstructured material description text according to a preset workflow; and obtaining multi-level category analysis information and standardized attribute data of the material to form structured material description data, and storing the structured material description data. According to the method, the LangGraph state diagram technology is innovatively adopted to construct a multi-agent processing assembly line, all agents achieve information transmission and cooperative work by sharing the SkuState state, and automatic structured processing, intelligent classification and standardized management of material data are achieved.

The invention provides a method for dynamically sharing and reserving heterogeneous resources of a communication layer and a sensing layer. The method comprises the following steps: acquiring an original data set through multi-dimensional resource sensing and acquisition; on the basis of the data set, a graph structure modeling method is adopted, and a general sensing heterogeneous resource state graph capable of comprehensively representing the system state is constructed; the core lies in that based on the atlas and business task characteristics, judgment is carried out through a tri-state control strategy, the judgment is based on a task demand vector, a resource matching degree and a pressure index, and a task scheduling mode is confirmed to be one of a communication leading mode, a perception priority mode or a resource sharing mode through a preset judgment rule; performing multi-task resource mapping and dynamic reservation and migration based on the scheduling mode; and iteratively updating the scheduling strategy through a feedback optimization algorithm. According to the invention, by introducing an intelligent three-state control mechanism and a unified resource state atlas, intelligent and efficient collaborative scheduling of heterogeneous resources is realized.

The invention belongs to the technical field of building data management, and relates to a building data management system and method based on multi-modal data fusion, and the method comprises the steps: obtaining the real-time operation data of a target building multi-source sensing network, and carrying out the cross-domain data association analysis of the real-time operation data, so as to generate an energy consumption distribution state diagram; retrieving a collaborative abnormal region of light intensity and a medium through space coordinate mapping, generating an energy-saving early warning signal based on a topological position of the collaborative abnormal region, and dynamically adjusting energy regulation and control strategy parameters distributed to different functional regions by integrating the energy consumption distribution state diagram and the energy-saving early warning signal. And the comparison feedback data before and after the energy regulation and control operation is collected, the energy-saving effect performance corresponding to the energy regulation and control is analyzed, the energy regulation and control strategy parameters are corrected according to the energy-saving effect performance, a new round of cross-domain data association analysis is triggered until the preset energy-saving target is reached, and the building data management level and the energy-saving and consumption-reducing capacity are remarkably improved.

The invention relates to the technical field of artificial intelligence, can be applied to the medical field and the financial science and technology field, and discloses a state diagram-based task cooperation method, device and equipment and a storage medium, and the method comprises the steps: receiving initial task data and the real-time states of a plurality of agents through a global management and control node, and creating an initial task; performing semantic analysis on the initial task data to obtain a task demand, and determining a task allocation object; routing the initial task to a corresponding task processing node according to the task allocation object through the initial allocation condition edge; processing the initial task through the task processing node to obtain a processing result, and updating a task state based on the processing result; and judging the updated task state through the routing control condition edge, and if the updated task state is judged to be a blocked state, performing task processing again until the task state becomes a completed state. The method has the remarkable advantages of dynamically adapting to task demand changes and improving the task execution reliability.

1. The name of this design product: Graphical user interface for plant-site communication relationship for electronic equipment. 2. Purpose of this design product: used for running programs and interface demonstration. 3. The key design point of this design product lies in the content of the graphical user interface on the product screen. 4. The picture or photo that best illustrates the key points of the design: Main view of Design 1. 5. Designate Design 1 as the base design. 6. Purpose of the graphical user interface: It mainly displays the communication connections between plant and station assets, and groups the assets according to the network they belong to. 7. Human-computer interaction method of the graphical user interface: Design 1: Click on the station control layer asset in the legend on the right side of the Design 1 main view to jump to the Design 1 change state diagram; Design 2: Click on the partition layer asset in the legend on the right side of the Design 2 main view to jump to the Design 2 change state diagram; Design 3: Click on the unknown asset in the legend on the right side of the Design 3 main view to jump to the Design 3 change state diagram; Design 4: Click on the multicast / broadcast filter in the legend on the right side of the Design 4 main view to jump to the Design 4 change state diagram; Design 5: Click on other in the legend on the right side of the Design 5 main view to jump to the Design 5 change state diagram; Design 6: Click on the protocol in the protocol distribution in the lower right corner of the Design 6 main view, highlight the selected protocol and jump to the Design 6 change state diagram; Design 7: Click on the right arrow of the protocol distribution in the lower right corner of the Design 7 main view to switch to the protocol port list display, high-risk protocols are marked in red text, the selected protocol is displayed in blue and the protocol is selected in the drop-down box above to jump to the Design 7 change state diagram; Design 8: Click on the session statistics in the lower right corner of the Design 8 main view to view the nearly 30 The line chart of the total number of daily sessions and network port sessions jumps to the design 8 change state diagram.

The invention provides a visual gateway debugging system and a visual gateway debugging method based on a swan mongolian operating system, and relates to the technical field of IoT (Internet of Things) debugging. The system comprises the following steps: constructing a domain name forest structure based on DNS, TLS and HTTP traffic, and identifying an equipment identity; a debugging activation instruction is generated, and cross-device command transmission with the DSoftBus is carried out through the WebSocket and the DSoftBus; collecting program counters, stacks and variable states with microsecond-level precision; constructing a state tetrad atlas and executing compression processing; migrating a breakpoint context among multiple devices and reconstructing an execution environment; and graphically presenting a state graph, a variable track and a call stack, and supporting linkage of path playback and debugging control. According to the method, a full-process closed loop from equipment identification to debugging control and from state modeling to path playback is realized, the debugging efficiency, the automation level and the system visualization capability are improved, and the method is suitable for debugging and abnormity diagnosis scenes of the distributed intelligent terminal.

The invention provides an enterprise large model asset scheduling and governance method and system in a high-concurrency environment. The method comprises the following steps: establishing a system architecture; collecting concurrent request quantity and node resource load index data in real time through a monitoring tool, generating a load state atlas through a multi-index fusion algorithm, and triggering a grading early warning mechanism based on a load threshold value; the method comprises the following steps: based on a large model asset capability evaluation index system, collecting index data of each large model through a test task, scoring indexes of each dimension of the large model based on a centesimal system, and constructing an asset capability matrix; receiving a load evaluation result and a service request, triggering a scheduling decision, mapping a load state map and an asset capability matrix into a scheduling state, generating a scheduling strategy through a reinforcement learning algorithm, verifying strategy feasibility and safety in a virtual environment, and determining an optimized scheduling strategy according to a verification result. According to the method and the device, dual optimization of great model asset scheduling efficiency and governance security in a high-concurrency scene is realized.

1. The name of the design product: floating window of smart matching comment content graphical user interface for electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: the part in the graphical user interface, the part outside the dotted line is the claimed part. 4. The picture or photo that best shows the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: for comment interaction, the claimed part is used for smart matching and comment-related content for user selection and release. 7. The human-computer interaction mode of the graphical user interface: in design 1, the user can click any content option related to the comment above the comment input box in the interface of design 1 front view to execute the operation of adding the content to the comment. The user can also slide left and right to view the content options related to the comment above the comment input box. The human-computer interaction descriptions of designs 2 to 6 are the same as those of design 1. In design 7, when the user calls up the comment input box in design 7 front view, the content options related to the video content above the comment input box in the interface, present the interface change from design 7 front view to design 7 interface change state figure 1. When the user inputs comment content in the comment input box in design 7 interface change state figure 1, the options matched with the video content above the previous comment input box gradually disappear, presenting the interface change from design 7 interface change state figure 1 to design 7 interface change state figure 2. When the options matched with the video content above the comment input box in design 7 interface change state figure 2 disappear, the options related to the current comment content are displayed above the comment input box, presenting the interface change from design 7 interface change state figure 2 to design 7 interface change state figure 3. The human-computer interaction descriptions of designs 8 to 10 are the same as those of design 7.

1. The name of the design product: electronic device with small program building graphical user interface. 2. The use of the design product: for electronic devices. 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 carrier of the design product is the usual 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. The use of the graphical user interface: the interface is an interactive interface for building and designing small programs in the operation background; the design 1 front view and the design 2 front view are the initial interfaces, and the user can click on each function module in the interface to enter the corresponding function for program operation; the design 1 interface usage state reference diagram and the design 2 interface usage reference state diagram are the reference interfaces of the design 1 front view and the design 2 front view in the actual use process.