11 results about "High complexity" patented technology

The invention provides a knowledge graph-based IT operation and maintenance fault tracing method and device, and the method solves the problem of low fault positioning efficiency in a high-complexity heterogeneous network through fusing a topological path and a knowledge graph of a fault propagation mode, and specifically comprises the steps: firstly, carrying out the fusion of the knowledge graph, and carrying out the positioning of a fault through the fusion of the knowledge graph; the incidence relation between the physical connection and the fault logic is represented, so that the reduction accuracy of a cross-equipment fault propagation path is improved; secondly, manual troubleshooting participation degree is reduced through semantic similarity analysis, and priority ranking of fault roots is achieved in a complex network environment; and finally, the reliability of fault positioning is guaranteed through consistency verification, and misjudgment caused by simple rule matching is avoided.

The invention relates to the technical field of intelligent design of optical lenses, and discloses a multi-series superposed complex periodic structure arrangement method and system.The method comprises the steps of normalized coordinate transformation, multiple sine wave superposition, an iterative function system, a Julia set algorithm, an LSystem grammar system, parameter adjustment, moire fringe fusion and the like; and a complex periodic structure with high complexity, adaptability resistance and natural morphological characteristics is generated. Advanced technologies such as logarithm uniform distribution wave number generation, a chaos game algorithm, linear mapping complex number conversion, a turn graph interpreter, multi-scale entropy complexity quantification and an Otsu automatic threshold method are adopted, and accurate parameterization control and manufacturing adaptation are achieved. The system comprises a coordinate transformation module, a wave interference calculation module, a fractal generation module, a complex power system module, an LSystem processing module, a parameter control module and a contour surface extraction module. According to the invention, a systematic solution can be provided for complex structure design of optical devices such as myopia prevention and control lenses.

The invention relates to the technical field of delivery data processing, and discloses an AI large model-based intelligent management system for delivery of known products, and the system comprises an attribute acquisition module, a temporary scheme generation module, a key feature element identification module and a type attribute identification module, the optimization module is used for dynamically distributing a task priority of the delivery request based on the temporary correction scheme and synchronously optimizing an execution path of the delivery request based on the task priority; the conflict diffusion module is used for gathering task conflict traces of the delivery request based on the optimized execution path and the logic chain of the task priority, and constructing a conflict diffusion topological graph of the delivery request through the task conflict traces; the delivery module deploys an optimal delivery path based on the resolution result, and can solve the problem that in the prior art, the high-complexity and high-timeliness delivery requirements of the known products cannot be met.

The application belongs to the technical field of data processing, and particularly relates to a shared oxygen-enriching instrument data collection encryption method and system, which comprises the following steps: obtaining the complexity of historical session information based on the use time length and the numerical value and the distribution discrete degree of the average oxygen flow of the historical session information; obtaining a real-time physical disturbance index according to the temperature fluctuation and the voltage fluctuation of target physical data; fusing the complexity of the historical session information, the real-time physical disturbance index and an initial random seed to obtain a composite entropy source seed; and using the composite entropy source seed to generate a session key at a target time, thereby completing the encryption of the data collected by the shared oxygen-enriching instrument. The composite entropy source seed with high complexity and high randomness is constructed, and the security of the encryption erasing mechanism is enhanced.

The application discloses a kind of inductive process mining optimization method and system based on multi-agent cooperation.First, the low-frequency trajectory variant in event log is denoised and frequency is counted, and an inductive mining algorithm is used to mine a process tree model, an external knowledge base is retrieved in the context of business process, and structured information input is constructed.Second, a multi-agent group collaboration mechanism of "generation-review-optimization" is introduced, wherein the initial model generation group generates an initial process model based on structured information input, the expert review group reviews the initial process model from three dimensions of process tree operator, model structure robustness and activity event completeness, and the model optimization group refines and optimizes the model based on expert review.The method can effectively handle event logs with high complexity, noise interference and a large number of low-frequency behavior variants, understand the context information of business processes, and generate a process model with reasonable structure and accurate behavior.

The invention relates to the technical field of artificial intelligence, and provides a layered task collaboration method, device and equipment based on a dynamic space-time flow, and a medium, which are applied to financial and medical health care service scenes, and can provide high-quality dynamic space-time features through multi-modal initial dynamic features. Constructing a dynamic space-time flow graph according to the multi-modal initial dynamic features to provide various relationships among key events in the multi-modal data and reflect dynamic evolution of the multi-modal data; a target task with high complexity is split into a plurality of sub-tasks by utilizing a hierarchical task network, a hierarchical task structure is constructed according to a dynamic space-time flow graph and the plurality of sub-tasks, and a macroscopic task target can be reasonably split into executable microcosmic sub-tasks; the dynamic space-time flow graph and the hierarchical task structure are input into the hierarchical task collaborative reasoning network, efficient collaboration between subtasks and precise execution of actions can be achieved in an auxiliary mode, the execution efficiency and accuracy of complex tasks are improved, and the complex task processing requirement can be better met.

The invention discloses a multi-terminal collaborative distributed linkage analysis system for electric power information characteristics, which belongs to the field of electric power information characteristic analysis and comprises an equipment instruction complexity analysis module, a buffer adjustment module, an instruction priority sorting module and a resource scheduling module. Aiming at the problems of resource conflict and response efficiency in a multi-instruction request scene of power grid equipment, a collaborative optimization scheme based on instruction complexity hierarchical processing and dynamic resource scheduling is provided, and a differential response mechanism of instructions is realized by analyzing instruction complexity indexes of all equipment of a power system, so that the reliability of the power grid equipment is improved. Therefore, the overall response efficiency is improved, meanwhile, the redundant calculation overhead is reduced, for high-complexity equipment, key instructions are ensured to be processed preferentially through instruction priority sorting, meanwhile, in order to effectively solve the contradiction that multiple devices compete for limited resources, a special resource scheduling module is designed, and the resource scheduling efficiency is improved. And a systematic solution is provided for efficient and stable operation of a power grid equipment instruction system.

The invention relates to the technical field of man-machine interaction interface design, and provides a man-machine interaction interface complexity evaluation method and system, and the method comprises the steps: obtaining interface state data, interaction event data and task description text data, carrying out the deep fusion of multi-modal features based on cross attention, and carrying out the comprehensive modeling analysis. Complex interaction process and context evolution are quantified by comprehensively modeling space-time and logic factors influencing complexity, so that the accuracy of interactive interface evaluation is improved; meanwhile, based on prediction results of fusion feature vectors and interface complexity, multi-modal attribution analysis is further executed, an attribution analysis report is output, design defects causing high complexity are accurately positioned, a clear basis is provided for interface optimization, and operability and guidance value of evaluation results are improved.

This invention relates to the field of artificial intelligence technology, and more particularly to an automated construction method and system for multi-agent systems based on multi-dimensional capability embedding. The method includes: defining the capability attributes of each agent in a candidate agent set through a declarative configuration file; constructing a standardized agent blueprint; stripping the communication and collaboration logic between agents; and mapping the capability attributes of each agent into capability vectors in a high-dimensional continuous space through an embedding model, thereby completing the multi-dimensional capability embedding of agents. This invention reduces the complexity of multi-agent system construction from O(N^2) to O(N^2). 2 The fundamental dimensionality reduction optimization from O(N) to O(N) eliminates the need for manually writing interaction connection code and defining static execution paths to automate the construction of multi-agent systems. This solves the core problems of high complexity in the construction of multi-agent systems, high development costs under hard-coded mode, and inability to achieve industrial-grade agile iteration in existing technologies.

The invention discloses a task-oriented dialogue method and device based on an inference model, and solves the problems of high complexity and low stability of a modularized task-oriented dialogue system in the prior art. The method comprises the following steps: constraining a thinking chain generation process of an inference model through a predefined modular processing flow to obtain a thinking chain generation benchmark; generating a dialogue sample including a structured thinking chain by using a modular process, and constructing a training data set according to the dialogue sample; using the training data set to optimize model parameters of the reasoning model, so that the reasoning model solidifies the modular thinking chain generation capability in the task-oriented dialogue; according to the method, the performance of the inference model on the task-oriented dialogue task is effectively improved, and consistent interpretation is provided.

The invention relates to the technical field of data security, and discloses a data crushing method based on a four-dimensional manifold chaotic power system, and the method comprises the steps: generating a time-space coupled chaotic entropy source through system initialization, dynamically distributing entropy decomposition channels for input data according to type characteristics, and achieving the irreversible crushing and entropy control of the data; and then fragment-level distributed verification is cooperatively completed by means of edge nodes, an on-chain certificate with auditing performance is generated, real-time closed-loop updating is performed on chaotic parameters in combination with a verification result, and a self-adaptive feedback control mechanism is formed. According to the method, a Merkle-Patricia tree structure is improved to realize non-tampering and chained backtracking of data, a security signature based on a lattice structure is adopted to ensure the long-term effectiveness of verification information, and the stability of an entropy source is optimized through a chaotic disturbance feedback mechanism, so that the security, reliability and adaptability of a system under the threat of a high-complexity calculation model are comprehensively improved.