140 results about "Hierarchical design" patented technology

The embodiment of the invention provides a kafka storage and calculation separated data processing method and device, and the method comprises the steps: constructing a multi-layer data processing architecture which comprises four layers: network communication, task distribution, processing scheduling and storage. Cold and hot data separation is realized through hierarchical design of a log pre-writing area and a main storage area, and intelligent scheduling of system resources is realized in combination with a copy manager, a coordinator and a load predictor. An adaptive compression algorithm and a verification mechanism are adopted to ensure the data transmission efficiency and integrity, a message cache region is created to store hotspot data, and flexible access of cold and hot data is realized based on message sites. According to the method, the defects of the traditional technology in storage and calculation coupling, storage efficiency, load balancing and the like are effectively overcome, and the performance and expandability of a message queue system are remarkably improved.

The invention discloses a port multi-agent task allocation method and system based on reinforcement learning, and belongs to the field of logistics management, and the method comprises the steps: constructing a task set for various operation tasks in a port multi-task environment; aiming at different types of port intelligent equipment, constructing a dynamic model of the heterogeneous multi-agent; constructing a global environment model based on the task set and the dynamical model; constructing a collaborative multi-agent task allocation mechanism, and performing task allocation and scheduling by using the task allocation mechanism; and constructing a collaborative reinforcement learning model based on the task set, the dynamic model, the global environment model and the task allocation mechanism, and training a task execution strategy of the intelligent agent by using the collaborative reinforcement learning model. Through the hierarchical design of the high-layer strategy network and the low-layer strategy network, a complex task can be decomposed into a plurality of sub-tasks, management and optimization are facilitated, a multi-task environment can be effectively processed, and an intelligent agent can flexibly cope with different task sets.

The invention discloses an unmanned aerial vehicle cluster cross-layer cooperative routing method based on TDMA, is applied to the field of wireless communication network resource scheduling and unmanned aerial vehicle autonomous networking cooperative control, and aims to solve the problem that the overall resource utilization rate of a system is low due to hierarchical design of a routing strategy and an MAC layer channel access control strategy in an existing TDMA network. The method comprises a dynamic collaborative framework based on routing and time slot allocation and a time slot state sensing routing algorithm based on deep reinforcement learning, the framework provides real-time time slot resource allocation state input for the algorithm, the algorithm outputs an optimal path meeting the bandwidth requirement for the framework, the problem of resource mismatching of a traditional layered framework is effectively avoided, and the routing efficiency is improved. And finally, collaborative optimization of the service bandwidth achievement rate and the network resource utilization efficiency in a high-load scene is achieved.

The invention provides a multi-modal LLM Agent for a multi-level intelligent development framework of an unmanned aerial vehicle system, and the multi-level intelligent development framework is constructed based on hierarchical design and comprises three levels of a brain (large model), a cerebellum (visual and voice small model) and control execution (classical control algorithm). The brain serves as a high-level center and is responsible for processing high-level tasks such as natural language interaction and complex task planning; the cerebellum is used as a middle center and focuses on tasks such as scene positioning, sensing, obstacle avoidance and voice recognition; control execution serves as a low-level center, and real-time control over bottom hardware of the unmanned aerial vehicle is achieved. The three levels cooperate with one another to jointly realize intelligent control of the unmanned aerial vehicle.

The invention discloses a multi-modal trajectory prediction method based on anchor points. The method belongs to the technical field of automatic driving, and comprises the following operation steps: firstly, preprocessing a pre-collected track data set, and sampling on a track line to obtain candidate anchor points; and then, an MGT network architecture is constructed, interaction between track features and fusion between lane features are realized after a graph neural network technology is fused, the MGT adopts an embedded hierarchical design, the hierarchical structure firstly preliminarily optimizes anchor point positions through an internal dependency relationship between tracks, and further, track surrounding environment information obtained by an API is combined, so that the track surrounding environment information is obtained, and the track surrounding environment information is obtained. Environment features and potential influences of surrounding traffic dynamics are fused to anchor point position features; and finally, decoding the optimized anchor point by using a decoder, and designing a fitting function so as to obtain a complete predicted trajectory coordinate. Multiple factors in the MGT network are fully considered, the anchor point coordinates are optimized step by step, and the credibility and accuracy of prediction are remarkably improved.

The invention relates to a large model-assisted bridge knowledge graph generative construction method, which comprises the following steps of S1, extracting bridge related entities in a document based on a pre-trained large language model, and obtaining a structure ontology model and structure ontology attributes; the method comprises the following steps: performing hierarchical design on a bridge management and maintenance knowledge graph, performing knowledge graph construction through more than two pre-trained large language models, dividing the knowledge graph into a generator and a discriminator, and performing entity and attribute extraction by using the large language models of the generator; whether entities and attributes are reasonable or not is judged through a large language model of a discriminator; s2, a disambiguation method based on a graph neural classification network; and S3, a knowledge graph reasoning method based on a component relationship. Compared with the prior art, the method is innovatively combined with a large model, so that the entity extraction efficiency and accuracy are improved; the availability of the knowledge graph and the reasoning accuracy are improved; the knowledge graph reasoning method based on the component relation is provided according to the actual requirements of bridge maintenance decision making.

The present invention provides a high-frequency industrial time series data storage system based on double caching. A double caching strategy is used to isolate data acquisition and data storage, the structure is simple, and the modules are clear, ensuring that the data processing process is not blocked and other associated modules are not affected, improving the overall stability of the system, ensuring the reliability and timeliness of data storage, and achieving the function of storing time series data in massive, high-concurrency, high-frequency, and other scenarios. The present invention has higher performance and better expandability. By means of hierarchical design and reasonable functional module division, the requirements of high throughput, low delay and high expandability are met, thereby better supporting the application of industrial time series data. According to the present invention, a message layer and a caching layer are introduced, achieving real-time data processing and caching, improving the data processing efficiency, and reducing the data processing delay.

The invention provides an intelligent ship software architecture design method, which comprises the following steps of S1, carrying out intelligent ship software service architecture design, and adopting hierarchical design which comprises a data sensing layer, a service processing layer, a ship-shore communication layer and a shore end display layer; s2, carrying out intelligent ship software system architecture design, and adopting a cloud-side-end collaborative fusion mode; s3, intelligent ship software technical architecture design is carried out, and a cloud-shore-ship technical architecture mode is adopted; and S4, carrying out intelligent ship software data architecture design, and deploying a database in a cloud-shore-ship mode. According to the technical scheme, the problems that an intelligent ship software architecture cannot effectively achieve software and hardware decoupling, layering and modularization cannot be achieved, ship-crossing multiplexing cannot be achieved, and expandability is poor are solved, the purposes of software and hardware decoupling, ship-crossing multiplexing, software-defined ships and the like are achieved, rapid iteration of intelligent ship software research and development is effectively supported, and the development efficiency is improved. And the research and development period of the intelligent ship is shortened.

The invention relates to a hardware driving method supporting multiple operating systems, a driving program is divided into an equipment layer and a connection layer, the equipment layer comprises corresponding logic for operating hardware, and the connection layer comprises adaptive codes of the corresponding operating systems; the method specifically comprises the steps that 1, an equipment layer is constructed, same functions are sorted out for equipment of the same type, an equipment type model is abstracted, and a cross-platform unified interface specification is designed according to hardware functions, and the unified interface specification comprises multiple types of interfaces; 2, specific functions are achieved based on the cross-platform unified interface specification designed in the step 1; 3, creating a connection layer; and step 4, realizing the operation of the upper operating system on the equipment on the connection layer. According to the invention, for drive development, the processing modes of asynchronous and synchronous modes are unified, and the development cost is reduced. The hierarchical design function division of the equipment layer and the connection layer is clearer, and the code maintainability is improved.

The invention relates to the technical field of data mining, in particular to a method and a system for generating a printed circuit board design drawing. The method comprises the following steps: obtaining customer demands, structuring the customer demands into circuit board design demand data, and then carrying out mode clustering to obtain design demand mode data; acquiring a historical design log, performing circuit board hierarchical design clustering based on the historical design log to obtain historical hierarchical design data, and performing wiring structure topology analysis to form a wiring structure model set; quantifying a wiring demand, obtaining wiring demand data based on demand mode data, and matching the hierarchical wiring structure model set to form a matching model; the layout component is used for carrying out component layout on the matched wiring structure model, generating component layout data and planning the direction of a signal line to form a hierarchical structure model; and performing electromagnetic interference simulation, optimizing the hierarchical structure model based on simulation data to balance heat flow, and finally generating a circuit board design drawing. The design efficiency of the circuit board can be improved.

The invention discloses a peripheral interface framework system and method easy to develop and transplant, and the system comprises a peripheral equipment driving module which is used for interacting with peripheral equipment and providing data transmission and reception; the serial interface core module is connected with the peripheral equipment driving module and is used for receiving a peripheral equipment driving request and selecting an adaptive serial interface adaptive module to perform equipment communication; and the serial interface adaptation module is connected with the serial interface core module through an interface bus and is used for managing the interface bus and configuring an interface register and a pin. According to the main technical scheme and effects, the system has the beneficial effects that each module of the system can be independently developed and tested by dividing the framework system into a plurality of layers; due to the hierarchical design, other parts of the system cannot be influenced when the peripheral equipment is newly added or modified, so that the development process is greatly simplified, and the development efficiency is improved.

The invention discloses a Transform-based digital textbook automatic hierarchical design method. The method comprises the steps of obtaining digital textbook content, performing structured analysis, dividing the digital textbook content into a plurality of content units, and allocating a unique identifier; an improved Transform model is input, semantic modeling is executed, the cognitive hierarchy is controlled, and folding representation is generated; based on the folded semantic representation, initial layering is executed, a layered structure is constructed, and a sequence and hierarchical relationship is generated; constructing a self-evolution hierarchical decision maker, detecting conflicts in a hierarchical structure, and identifying a hierarchical inconsistent relationship; re-executing hierarchical processing based on the conflict relation updating rule to generate an updated hierarchical structure; and performing disturbance processing on the textbook structure, repeating modeling and layering processes, and verifying a hierarchical stability result. According to the method, the stable and automatic hierarchical design of the digital textbook is realized by improving Transform semantic modeling and self-evolution hierarchical decision.

The invention discloses a method for modeling and verifying civil aircraft automatic flight system mode conversion based on a SysML language, and the method comprises the steps: firstly analyzing the key problems of high-level abstraction, hierarchical design, mode conversion logic and priority features in formalized modeling oriented to the field in detail, and constructing a meta-model for flight control mode design and conversion; secondly, expanding the formalized modeling language SysML based on the provided meta-model, and encoding the formalized modeling language SysML into a SysML profile file with a specific field; and then designing in an automatic flight system mode conversion modeling project of a certain type of civil aircraft by using an expanded SysMLprofile, and verifying the safety and correctness of the model by adopting an NUSMV. The invention provides a relatively complete and unified model building thought in the related fields of the automatic flight system, and can effectively ensure the system design quality and improve the system development efficiency and safety.

The invention provides an AGV forklift layering and design method based on hierarchical design, and the method comprises the steps that an AGV forklift is divided into a scheduling system, a navigation control system and an electromechanical-hydraulic drive-by-wire system according to system functions from the top layer to the bottom layer, the scheduling system is used for task scheduling, path planning and traffic control, the navigation control system is used for navigation control, and the electromechanical-hydraulic drive-by-wire system is used for navigation control. The dispatching system and the navigation control system are connected through a communication interface, a communication protocol is determined, the navigation control system is used for butt joint of the dispatching system and the electromechanical-hydraulic drive-by-wire system and detection of the operation state of the AGV forklift, and the electromechanical-hydraulic drive-by-wire system is used for operation action execution.

The invention relates to the technical field of chip design, and provides a clock constraint generation method, electronic equipment and a storage medium, and the method comprises the steps: building a relational database based on hierarchical design information of a chip, the relational database comprising an instantiated module relationship in the chip and a cross-module port connection relationship; determining a clock source from the relational database, and traversing a propagation path of the clock source in the relational database by taking the clock source as a starting point; and generating a clock constraint file of the chip based on the propagation path of the clock source. According to the method, the electronic equipment and the storage medium provided by the invention, the hierarchical design information is converted into the dynamic, queriable and traversal relational database, so that the clock propagation path is reconstructed, the clock constraint file is driven to be automatically generated, and on the premise that the complete hierarchical design information is reserved, the automatic generation of the clock constraint file is realized. The efficient, accurate and complete propagation path reconstruction is realized, and the clock constraint generation efficiency and accuracy are improved.

The invention discloses an SCADA system construction method based on a BIM model and an SCADA system, and the method comprises the steps: building digital BIM models based on equipment types and equipment parameters, including a BIM equipment model and a BIM information model, and carrying out the grading processing and lightweight processing of the models according to different hierarchy requirements; the BIM equipment model is applied to two-dimensional and three-dimensional SCADA systems, and the information model is stored in a database; the SCADA system is subjected to hierarchical design, the fine degree of equipment display is planned in each hierarchy, model equipment of different hierarchies is loaded, and equipment state information is displayed by adopting a multi-hierarchy interface; performing lightweight processing on background data of the SCADA system according to the display interface hierarchy; a system alarm and a control interface are monitored and displayed in a centralized manner; the system client configures a multi-partition display mode; according to the invention, the project development efficiency of the SCADA system, the system operation fluency and the user use convenience are improved.

The invention relates to a business framework architecture method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring framework core setting information of a service scene; setting a core layer of the information architecture business framework based on the framework core, and configuring a core library and a universal tool chain of a business scene in the core layer; constructing an upper business framework layer based on the core layer, and configuring business components and business setting information of a business scene on the upper business framework layer; and obtaining a service frame of the service scene based on the upper service framework layer. According to the application, the core library and the general tool chain configuration of the service scene are realized on the core layer, then the upper service framework layer is constructed on the basis of the core layer, the configuration of the service component and the service setting information of the service scene is completed, and the service framework architecture related to the service scene is realized through a hierarchical design mode. And the method has stronger long-term maintainability and business management and control capability.

The invention discloses a block chain-based data security circulation method in a hierarchical novel cloud manufacturing application scene. In view of data security problems such as data leakage, data tampering and difficult data tracing in data circulation and data storage processes of a novel cloud manufacturing system, a hierarchical structure of a cloud manufacturing application scene is combined, and privacy data protection appeals are considered. The invention provides a block chain-based data security circulation method in a hierarchical novel cloud manufacturing application scene. The data security circulation system based on the block chain in the hierarchical novel cloud manufacturing application scene instantiated by the method is composed of a plurality of modules such as a block chain network, a distributed account book database, a node access approval process, a node exit approval process, a node state updating algorithm, an authorization approval mechanism, an on-chain and off-chain low-overhead storage method and the like. According to the invention, through redesign of the block chain platform service, efficient circulation of data between peer nodes and safe convergence of data between non-peer nodes are realized; the privacy data can be ensured to be available and invisible through an on-chain data ciphertext storage mode and data encryption logic; on-chain closed-loop management of data is realized through a data management component based on an intelligent contract. In conclusion, the method ensures the authenticity, integrity and confidentiality of the data in the hierarchical novel cloud manufacturing application scene, and realizes right confirmation management and hierarchical propagation of the privacy data.

The invention discloses an automatic software testing method based on behavior-driven development, belongs to the technical field of software testing, and remarkably reduces repeated work of manual coding by automatically generating a test script. Based on a test scene described by a natural language, the system directly converts a structured test model into an executable test code by utilizing a predefined template library and a dynamic code generation technology. For example, key actions and parameters are extracted from a user story written by a Gherkin language through an analyzer and mapped to a code template of a framework such as Selenium or JUnit, and scripts do not need to be written manually line by line. The hierarchical design of the test model further simplifies the script generation process, supports batch processing of multi-scene test tasks, greatly shortens the test preparation period, improves the overall test efficiency, is compatible with various programming languages and test frameworks, and can adapt to project requirements of different technology stacks.

The invention discloses a multi-strategy fusion file data desensitization management and control system, and relates to the technical field of information security and data processing, a system architecture adopts a hierarchical design and comprises a presentation layer, a business logic layer and a data access layer, the interface design of the presentation layer is simple, and a user can easily operate the presentation layer; the business logic layer is responsible for processing various rules and ensuring that data can be correctly processed; the data access layer is responsible for interacting with a database to realize secure storage and quick reading of data, and the architecture design ensures the expandability and maintainability of the data desensitization file security management system; system functions are realized in two ways: a common user can perform desensitization operation on sensitive data and download a file; an administrator can modify configuration and manage the desensitization rule besides the functions of a common user; the system can effectively protect sensitive data and reduce the risk of data leakage, and has high practical value.

The invention discloses a Julia function library fused with multiple programming languages and a construction method of the Julia function library, and belongs to the technical field of computer software. Comprising a data layer, a business logic layer and an interface layer which adopt modular decoupling. The method comprises the following steps: designing a layered architecture of a Julia function library, wherein the layered architecture sequentially comprises a data layer, a business logic layer and an interface layer from bottom to top; realizing a data layer of the Julia function library; realizing a business logic layer of the Julia function library; and realizing an interface layer of the Julia function. According to the invention, the flexibility and functionality of the system are improved, and convenient support is provided for subsequent scientific calculation tasks; a hierarchical design is adopted, and responsibility division among a data layer, a business logic layer and an interface layer is defined, so that the system has high expandability and can easily adapt to future function expansion and technology upgrading.

The invention is suitable for the technical field of computer system starting, and provides an OpenSBI starting method and system of an RISC-V SoC based on an FPGA, the system comprises a hardware abstraction layer, a boot loading layer, a privilege management layer and a kernel execution layer, and each layer realizes data interaction and process connection through a standardized interface; through the hierarchical design of FPGA hardware initialization, SPL / U-Boot firmware loading, OpenSBI privileged mode configuration and kernel startup, modular management of a startup process is realized, the system coupling degree is reduced, multiple storage medium and operating system types are supported, hardware abstraction is realized through an OpenSBI standard interface, subsequent extension of new peripherals or upgrading of an RISC-V architecture version is facilitated, and the development of the RISC-V architecture is facilitated. The standardized starting process reduces the adaptation workload of hardware and firmware, and debugging and rapid iterative development are facilitated.

The application provides an asset simulation system for threat awareness, comprising a simulation module, a decision module, a semantic mapping library, a response agent, a resource storage module and a session library, when an access request of an attacker is received, the decision module first matches the resource type corresponding to the request through the semantic mapping library, if it is static resource access, the decision module directly calls the static simulation resource in the resource storage module and returns the response, if it is dynamic resource access, the decision module triggers the response agent, so that the response agent is started and dynamically interacts with the attacker, records the interaction log, and synchronously updates the session context to the session library. The application realizes high-fidelity replication of static and dynamic resources of the protected assets relying on a vertical large model, and through hierarchical design, can quickly respond to static resource access and deeply interact with dynamic resource access.

The present invention belongs to the field of intelligent transportation technology, and specifically discloses a channel resource allocation method and system based on hierarchical reinforcement learning. The present invention proposes a fairness model based on Jain's fairness index, which is used to measure the fairness of resource allocation and ensure that the resource allocation between different vehicles is relatively balanced; a reliability model is established, which measures the probability of successful transmission of information within a specified time by introducing the concept of interruption probability, thereby ensuring the communication needs of the V2V link; a delay model is designed based on the information age AOI model, which is used to evaluate the time it takes for information to be generated and received, so as to ensure timely transmission of information. The present invention also constructs a cellular vehicle network channel resource allocation model based on hierarchical reinforcement learning. Through hierarchical design, the model decomposes the cellular vehicle network channel resource allocation problem into an upper-layer clustering problem and a lower-layer intra-cluster channel resource optimization problem, thereby ensuring fair and efficient resource allocation in a complex environment.

The invention discloses a photovoltaic cell production and operation-oriented data warehouse modeling method, device and system, a storage medium, a computer product and a data warehouse. The method comprises the following steps: determining an associated system and equipment related to the whole process of photovoltaic cell production and operation; constructing a data source layer, an access layer, a model layer and an application layer for the associated system and equipment; wherein the model layer adopts a layered design; and forming the data warehouse by using the data source layer, the access layer, the model layer and the application layer. According to the method, the data integration efficiency is improved, and the processing performance of the multi-source data is improved, so that the service agility and the decision-making capability are optimized.

The invention belongs to the technical field of medical scene consensus, provides a medical alliance block chain grouping consensus method and system based on leader group decision, and aims to solve the practical problems of high communication complexity, power concentration and main node failure of a traditional PBFT in a large-scale node scene. Through hierarchical design of leader group decision, a grouping strategy is adopted to prevent a power concentration phenomenon, and through leader group parallel decision, post quantum security is guaranteed, communication overhead is reduced, consensus efficiency is improved, and the power concentration phenomenon is avoided.

The invention belongs to the technical field of ocean engineering, and particularly discloses a multi-objective optimization design method for an ocean vehicle based on hierarchical design, which comprises the following steps of: S1, defining design variables, optimization objectives and constraint conditions, and constructing a parameterized model of the vehicle; s2, sensitivity analysis is conducted on the design variables, and the design variables are divided into high-sensitivity design variables and low-sensitivity design variables according to sensitivity ranking; s3, processing the high-sensitivity design variables by a multi-objective optimization method based on adaptive sequential sampling to obtain an optimal combination of the high-sensitivity design variables; s4, optimizing the low-sensitivity design variables by utilizing a fuzzy reasoning Taguchi method to obtain an optimal combination of the low-sensitivity design variables; and completing optimization of the aircraft according to the optimal combination of the high-sensitivity design variables and the optimal combination of the low-sensitivity design variables. According to the method, through technical innovation such as variable layering, adaptive sampling and staged optimization, the bottleneck of a traditional modeling and optimization method on high-dimensional complex problems is effectively broken through, and the method has clear technical advantages and wide engineering adaptability; and reliable and efficient technical support is provided for subsequent parameter sensitivity analysis, uncertainty quantification and rapid design iteration.

An embodiment of the present application provides a data processing method and device for Kafka storage and computing separation. By constructing a multi-layer data processing architecture, including four levels: network communication, task distribution, processing scheduling, and storage. Through the hierarchical design of the write-ahead log area and the main storage area, hot and cold data separation is achieved. Combining the replica manager, coordinator, and load predictor to realize the intelligent scheduling of system resources. The adaptive compression algorithm and verification mechanism are adopted to ensure the data transmission efficiency and integrity. A message buffer is created to store hot data, and flexible access to hot and cold data is realized based on the message position. This method effectively solves the deficiencies of traditional technologies in aspects such as storage and computing coupling, storage efficiency, and load balancing, and significantly improves the performance and scalability of the message queue system.

The embodiment of the invention discloses a method and a device for generating various modal contents based on a knowledge base and an index, electronic equipment and a computer readable storage medium, and realizes'knowledge priori constraint 'of a generation process based on dual drive of the knowledge base and a vector index; introducing a cyclic screening and dynamic threshold control mechanism, and constructing a convergent optimization closed loop; multi-modal complementation and consistency verification logic is provided, and integrated generation of cross-modal content is achieved; through a shunting-scheduling-fusion mechanism, the problems of scheduling efficiency and consistency in a multi-model collaboration process are innovatively solved; an end-to-end closed loop is established, knowledge retrieval and content generation are truly connected, and a knowledge base is evolved into a dynamic driving engine from a static information source. According to the technical scheme provided by the invention, through hierarchical design and module decoupling, the expandability of the system is ensured, and the professionality and practicability of the generated content are also improved.

The invention relates to a high-voltage power equipment geometric model construction method and device. The method comprises the following steps: determining a hierarchical structure of the high-voltage power equipment based on internal and external equipment data and different part characteristics of the high-voltage power equipment; performing hierarchical modeling according to the hierarchical structure of the high-voltage power equipment to obtain model hierarchical information; the model layering information comprises modeling parameters of equipment parts of all layers; comparing the model hierarchical information with the real object information of the high-voltage power equipment to obtain a model verification result; under the condition that the model verification result is that the verification is passed, according to a predefined assembly relation, performing model assembly by adopting the modeling parameters of the equipment parts under each layer to obtain a geometric model of the high-voltage power equipment; the geometric model is used for supporting the simulation calculation of the operation of the high-voltage power equipment. By adopting the method, hierarchical design and rapid assembly of the geometric model of the high-voltage power equipment can be realized, and the speed and accuracy of model construction are effectively improved.