56 results about "Hierarchical design" patented technology

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 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 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 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 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.

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 discloses an automatic driving decision control method based on a hierarchical strategy network. The method comprises the following steps: collecting automatic driving core data; constructing a driving scene; the method comprises the following steps: constructing a hierarchical strategy network architecture based on a driving primitive hierarchical design and an arbiter-expert strategy cooperation mechanism; carrying out digital twin-driven training and verification on a hierarchical strategy network; and deploying the maturely trained model to a real vehicle system, and further performing fine adjustment through real vehicle data feedback. According to the method, the interpretability of a modular method and the high-performance advantage of an end-to-end method are integrated, a conventional driving scene and an extreme long-tail scene are accurately processed by means of hierarchical design of driving primitives and digital twinning simulation training, and the method is suitable for a decision control module of an automatic driving system at the level of L4 or above.

The invention relates to the technical field of configuration management databases, in particular to a service and IT resource associated configuration database system and a service desk request method. A configuration database system of a three-layer architecture is designed; a data layer adopts a unified configuration item library to store service configuration items, IT resource configuration items and association relationship data, and an association weight value and an effective time index are introduced; the association layer establishes a bidirectional association model through an association model engine, detects state change and updates the state change by using an automatic discovery module, and presents an association relationship by a topology visualization module; the application layer is provided with a business influence analysis module for calculating the influence degree, providing a priority basis for a service desk linkage module, and realizing rapid matching and scheme generation; through hierarchical design and module cooperation, deep fusion of business and IT resources and intelligent processing of service response are realized.

The invention relates to the technical field of structural design, in particular to a frequency conversion board screw design method, device and equipment and a storage medium, according to the method, screw layout coordinate information is confirmed based on constraint information and an improved genetic algorithm, a traditional empirical layout method is replaced, screw distribution better meets the mechanical property and electrical performance requirements of all functional domains, and the design efficiency is improved. The problem of unreasonable layout parameters is solved, the manual trial and error cost is reduced, a clear basis is provided for subsequent production, assembly and maintenance, and the systematic fault risk is reduced; through the hierarchical design of basic core parameter extraction and partition fastening force calculation and in combination with the correction coefficient of each functional domain, the differential requirements of vibration impact requirements of a power module area, anti-vibration performance threshold values of a control chip area and the like can be met in a targeted manner, the problem of loose connection or excessive fastening caused by insufficient specification and model matching degree is avoided, and the reliability of the power module area is improved. High-frequency signal interference can be reduced, the occurrence probability of plastic deformation of the substrate is reduced, and the long-term operation reliability of equipment is improved.

The application provides a method for cooperatively suppressing short-circuit current and subsynchronous oscillation of an offshore wind power flexible direct system, comprising the following steps: step 1, determining common parameters for wideband coupling: for the problems of short-circuit current and subsynchronous oscillation, common parameters are determined through theoretical analysis and system topological structure of an offshore wind power flexible direct receiving end power grid; step 2, constructing a dynamic damping controller containing a deep double Q network (DDQN) according to the selected common parameters and a hierarchical design method: step 3, the upper optimization layer of the DDQN-based dynamic damping controller outputs the optimal adjustment instruction of the common parameters according to the system state, the lower execution layer receives the adjustment instruction of the upper layer, obtains a new common parameter value and outputs the new common parameter value to a current inner loop controller, and the current inner loop controller generates a modulation signal to control the output of the converter. The common parameters are optimized through the design of the dynamic damping controller, and the method realizes the cooperative suppression of the short-circuit current and the subsynchronous oscillation.

The application belongs to the technical field of AI development, and particularly relates to a localized one-stop AI development platform and method, which comprises at least one first control server, multiple computing power servers and a data center level Ethernet switch. The Ethernet switch and the multiple computing power servers are located at a computing interconnection layer. The at least one first control server is located at a data access layer and is a core management layer of a business network. The application adopts a hierarchical design network architecture to solve the technical problem of how to build an AI development platform with high performance, high reliability and resource isolation capability.

The present invention discloses a method and a system for testbench replication of an assertion counterexample in hierarchical C++ high level synthesis designs, comprising: - defining a high level synthesis (HLS) design for an integrated chip wherein the design of the integrated chip is programmed as a C++ hierarchical design; - verifying the HLS design and reporting inline assertions that are added via calls to an assert function of the high level synthesis design; - using a high level verification engine to debug a falsified assertion thereby providing an executable of the C++ hierarchical design that is built with a gcc compiler along with a gdb based debugger and that is used for the replication of a counterexample to remedy the falsified assertation which is referred to as testbench; - using the counterexample of the high level verification engine to drive the debugging of the falsified assertion with input values of the counterexample that will address the debugging at ac_channel operation level; - creating a database within the testbench being pre-populated with every ac_channel's read / nb_read operations data value being calculated in the counterexample that exist in cone of the falsified property where a falsified assertion has been generated for; - during the execution of the testbench when a read / nb_read operation of an internal ac_channel is performed using the pre-populated ac_channel's read / nb_read operations data value as input value for performing a read / nb_read operation during the debugging of the falsified assertion.

The invention relates to the technical field of power system network security and operation optimization, in particular to a power system communication security active defense method fusing measurement coding and optimal disturbance deployment, which organically combines equipment deployment optimization, operation scheduling optimization and information transmission protection through hierarchical design and cross-layer coupling. And an integral defense system which can be dynamically adjusted and continuously evolved is formed. In the deployment stage, the balance between investment and defense capability is realized by emphasizing optimal site selection and hardware configuration; in the operation stage, the D-FACTS is flexibly incorporated into the optimal power flow model, and system safety and economical efficiency are both considered; in the communication layer, the robustness and continuity of attack detection are improved by means of a dynamic measurement coding mechanism; in a multi-layer cooperation mechanism, through detection result feedback and dynamic adjustment, full-life-cycle optimization iteration is realized.

The invention discloses an energy industry Internet unknown threat detection layered architecture design method and equipment. The method comprises the following steps: cooperatively collecting multi-source heterogeneous energy industry protocol data, obtaining a protocol document and capturing a real-time message; performing hierarchical cleaning on the data and intelligently dividing a data set; then, unknown protocol fields are complemented through Diffusion-BERT collaborative modeling, and boundaries are optimized and are subjected to hierarchical analysis; based on a self-supervised learning analysis protocol, classifying and verifying consistency; dynamically optimizing hyper-parameters and fine tuning of the model; and finally, the model is lightened and deployed to an industrial platform, protocol real-time analysis and unknown threat detection are realized, the problems of insufficient data support, poor protocol adaptation, update shutdown and difficulty in landing in the prior art are solved, and the energy industry Internet security is guaranteed.

The invention discloses a rapid migration method, device and equipment for a test structure layout based on a node common framework and a storage medium, and relates to the technical field of semiconductors, and the method comprises the following steps: loading a pre-cured common framework based on a target process node; receiving differentiated configuration parameters of different users of the same process node, replacing an input parameter set of source configuration with an input parameter set of target configuration, and selecting a corresponding layer mapping processing strategy according to whether the target configuration is associated with a target verification file or not; according to the input parameter set of the target configuration, carrying out adaptive modification on a device structure; generating a target layout based on the general framework, the adapted device structure and the selected layer mapping processing strategy, executing verification check associated with the selected layer mapping processing strategy, and finishing migration from the source configuration to the target configuration after verification is passed; based on a generality framework of the same node, rapid migration of the layout is realized through a layering design of solidifying generality and differentiation.

The invention discloses a large language model fine tuning method and a related method and system, and belongs to the field of artificial intelligence, and the method comprises the steps: obtaining a to-be-fine-tuned neural network layer and an input vector of the to-be-fine-tuned neural network layer; for the neural network layer, processing is carried out through an independent low-rank adaptation module, input vectors are divided into k groups of vectors according to dimensions, and k is an integer greater than 1; generating increment output for each group of vectors; wherein the low-rank adaptation module comprises a dimension reduction matrix and a dimension raising matrix, and parameter quantity is reduced based on grouping operation; and splicing the increment output of all the grouping vectors, and superposing the increment output with the output of the original neural network to obtain fine-tuned output. The method can be applied to the field of cryptography, and supervised fine tuning is carried out by using a cryptographic industry data set to construct a large language model special for the cryptographic industry. Through innovative grouping and hierarchical design, the number of learnable parameters in the fine tuning process is significantly reduced, and the generalization ability and robustness of the model are enhanced.

The embodiment of the invention discloses a multi-level crossbar switch, a processing cluster and a processing system. The multi-level crossbar switch in the embodiment of the invention can realize data exchange among the processing units in the processing unit group and data exchange among the processing units crossing the processing unit group. Therefore, the multi-level crossbar switch is introduced into the processing cluster, the data exchange originally needing to be realized in the global cache can be limited in the processing cluster in the embodiment of the invention, so that the access pressure of the global cache is reduced, and meanwhile, the multi-level crossbar switch is set to adopt a hierarchical design, so that the access pressure of the global cache is reduced. According to the embodiment of the invention, the bandwidth pressure which needs to be borne by the multi-level crossbar switch can be differentiated to each internal crossbar switch unit, so that the bandwidth pressure which can be borne by the interior of the processing cluster is improved, and the data exchange efficiency among the storage units in the processing cluster is improved.

The invention relates to the technical field of online testing, in particular to a wireless passive multi-parameter sensing monitoring system suitable for a rotor bearing, which comprises a multi-physical parameter acquisition module, a power supply module, different parameter conditioning circuit boards adopting hierarchical design, a central processing module with an MCU (Microprogrammed Control Unit) chip, a wireless communication module and an upper computer, analog signals of physical parameters acquired by the multi-physical-parameter acquisition module are processed into digital signals through different parameter conditioning circuit boards which are designed in a layered mode, the digital signals are transmitted into the central processing module with the MCU chip, then the digital signals are converted into electromagnetic waves through the wireless communication module and thrown into the environment, and after an upper computer receives the electromagnetic waves, the wireless communication module transmits the electromagnetic waves to the central processing module. And processing the data into required monitoring data. The problem that the running state of the rotor bearing of the small turbojet engine is difficult to monitor in real time can be effectively solved, multiple physical parameters in the running state of the rotor bearing can be effectively monitored, and new equipment and a new method are provided for monitoring requirements when the rotor bearing works.

The invention provides an asset simulation system for threat awareness, which comprises a simulation module, a decision module, a semantic mapping library, a response agent, a resource storage module and a session library, and is characterized in that when an access request of an attacker is received, the decision module firstly matches a resource type corresponding to the request through the semantic mapping library, and if the request is static resource access, the response agent is started; the decision-making module directly calls the static simulation resources in the resource storage module and returns a response, and if the access is dynamic resource access, the decision-making module triggers a response agent, so that the response agent is started and dynamically interacts with an attacker, an interaction log is recorded, and a session context is synchronously updated to a session library. According to the method, high-fidelity replication of static and dynamic resources of protected assets is realized based on a large vertical model, and through hierarchical design, quick response can be performed on static resource access, and deep interaction can be performed on dynamic resource access.

The application belongs to the technical field of consensus in medical scenarios, and provides a medical alliance blockchain grouping consensus method and system based on leader group decision, aiming at the realistic problems of high communication complexity, power concentration and master node failure of traditional PBFT in large-scale node scenarios, combining a node level grouping model, through hierarchical design of leader group decision, adopting a grouping strategy to prevent power concentration, through parallel decision of the leader group, while ensuring post-quantum security, reducing communication overhead, improving consensus efficiency and avoiding power concentration.

The invention provides a multi-resource attribution analysis method and device, equipment and a storage medium, and relates to the technical field of data processing, and various resources can serve as nodes to be incorporated into an analysis framework through hierarchical design of a resource tree, so that attribution analysis of the whole category of resources is realized, and the application range is expanded. According to the specific technical scheme, a hierarchical resource tree is constructed; in response to the reference configuration operation, determining a reference weight and a reference type of each last-stage node in the resource tree, and if the reference type is an external reference, associating a reference scheme corresponding to the last-stage node with external change data; if the reference type is a constant, the reference scheme corresponding to the last-stage node is associated with the fixed change data; based on the constructed hierarchical resource tree, the average weight and change data of the actual combination and the reference combination are determined, the change difference between the actual combination and the reference combination is determined through a Brinson model, an attribution analysis report is output, and the accuracy of attribution analysis is improved.

The application is suitable for the technical field of computer system starting, and provides an OpenSBI starting method and system of a RISC-V SoC based on 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 layered design of FPGA hardware initialization, SPL / U-Boot firmware loading, OpenSBI privilege mode configuration and kernel starting, the modular management of the starting process is realized, the system coupling degree is reduced, various storage media and operating system types are supported, the hardware abstraction is realized through the OpenSBI standard interface, it is convenient to extend new peripherals or upgrade the RISC-V architecture version in the future, the standardized starting process reduces the adaptation workload of hardware and firmware, and it is convenient to debug and quickly iterate and develop.

The invention discloses a control method for balancing the cost and loss of a service system, and the method comprises the following steps: S1) constructing a service loss quantitative model based on service impact analysis, converting the service interruption time and data loss into economic loss, and constructing a loss function; s2) establishing a technical cost quantification model including redundant resource cost, recovery operation cost and network bandwidth synchronization cost, and constructing a cost function; s3) adopting a balance algorithm engine to solve the multi-objective optimization function, introducing a constraint condition to minimize the total cost, and dynamically generating an optimal RTO value and RPO value combination; s4) dynamically allocating disaster recovery resources based on service importance level hierarchical design; and S5) simulating a disaster scene through a high-availability test, verifying an actual RTO value and an actual RPO value, and feeding the actual RTO value and the actual RPO value back to a balance algorithm engine for parameter calibration. According to the method, the optimal RTO / RPO combination can be dynamically generated, the comprehensive cost is remarkably reduced, and the disaster recovery efficiency is improved.

The invention relates to the technical field of industrial automation control, and discloses a production auxiliary robot control system based on a layered architecture, which comprises a four-layer core architecture consisting of a scheduling layer, an interface layer, an ROS node layer and a driving layer, and is integrated with an equipment monitoring module, a graphical programming module and an integrated development environment module. The scheduling layer executes the service logic and generates a control instruction; the interface layer is responsible for instruction format conversion and interface providing; the ROS node layer comprises a plurality of decoupled function nodes; the driving layer encapsulates an equipment driving and vision algorithm. According to the software platform, through clear hierarchical design, decoupling and standardization of all the function modules are achieved, and the modularization degree, expandability and maintainability of the software platform are improved. Meanwhile, an integrated development environment combining graphical programming and code programming is provided, and convenient equipment monitoring and debugging functions are provided, so that the technical threshold of robot application development is lowered, and diversified production auxiliary scene requirements can be met.

The invention discloses a road construction project management method and system based on a structure tree, and a storage medium, and relates to the technical field of engineering management, and the method comprises the steps: obtaining the hierarchical design information of a construction project, and constructing a structure tree layer of the construction project; dividing at least two groups of node sets according to the structure tree layer of the construction project; according to the method, the overall project is subjected to hierarchical splitting in advance to form the structure tree layers, and then optimization strategy regulation and control are performed on the overall project according to the structure tree layers, so that the project condition can meet the actual requirements. And meanwhile, attribute configuration is performed on each node set and child nodes thereof in the structure tree layer, so that an operation instruction of a management project can be quickly responded, and repeated operability is reduced. The defect that in the prior art, real-time updating of the management project is not timely and cannot be coordinated is effectively overcome.

The invention belongs to the technical field of medical image sequence registration, and provides a self-adaptive medical image sequence registration method and system based on space-time collaborative coding, and the method comprises the steps: obtaining 4D image sequence data, defining each element in the 4D image sequence data as a 3D image corresponding to a corresponding moment, registering the 4D image sequence data by using a pre-trained deep neural network model to obtain a registration result; the deep neural network model comprises a feed-forward encoder and a reconstruction decoder which both adopt a multi-stage hierarchical design, and the feed-forward encoder fuses time sequence dependence and space context information in an image sequence; the reconstruction decoder performs step-by-step up-sampling and accurate reconstruction on the features output by the encoder, and constructs a feature compensation path through jump connection between layers so as to fuse shallow spatial information and deep semantic features. According to the invention, the accuracy of registration is improved.

Techniques are disclosed for eliminating redundancy in fault simulations to improve efficiency and to reduce the time and computing power required to generate a robust fault list, which results in adequate diagnostic coverage of a particular post-silicon electronic device for functional safety applications. The techniques described herein implement an automated methodology to identify identical sub-circuits in a design after the design is synthesized to gates, and utilize isomorphism to define a manner in which identical blocks may be reliably identified to ensure adequate coverage and accurate, consistent fault injection results. The netlist may advantageously implement a “flat” as opposed to a hierarchal design. Moreover, multiple levels of granularity may be identified for the various sub-circuits associated with the reference graphs used to identify isomorphic sub-graphs.