Multi-AI algorithm collaborative intelligent management system based on large model

Through quantum entanglement separation and cross-example quantum tunneling technology, combined with Lorentz chaotic equations and quantum Boltzmann machines, the communication protocol incompatibility problem of multi-source heterogeneous devices is solved, the collaborative analysis and data interoperability of multiple AI algorithms are realized, and the response efficiency of smart security systems is improved.

CN120455569AActive Publication Date: 2025-08-08北京青鱼科技有限公司
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Patent Information

Application Number
CN202510947477.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-10
Publication Date
2025-08-08
Estimated Expiration
2045-07-10

AI Technical Summary

Technical Problem

In an intelligent management system, the incompatibility of the communication protocol of multi-source heterogeneous devices leads to data interoperability barriers and limited AI algorithm collaborative analysis functions.

Method used

A collaborative intelligent management system based on large models is adopted to identify the device communication feature spectrum through a quantum entanglement separator, generate a standardized spatiotemporal event stream, and fuse feature vectors through cross-instance quantum tunneling mechanism to build a device association topology model, and use Lorentz chaotic equation to generate an atomic task chain fractal network, dispatch tasks to edge computing nodes for execution, and use quantum Boltzmann machine to calculate the interface field mapping function to realize interface configuration optimization, and dynamically update protocol rules through closed-loop correction modules.

Benefits of technology

It realizes plug-and-play access to multi-vendor equipment, improves the timeliness of abnormal responses in smart security scenarios, eliminates data interoperability obstacles caused by protocol differences, and optimizes the collaborative efficiency of multiple algorithms.

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Abstract

The invention relates to the technical field of data processing, in particular to a multi-AI algorithm collaborative intelligent management system based on a large model, and the system comprises a data access module which collects original messages of terminal equipment of multiple manufacturers; the protocol adaptation module analyzes a device communication characteristic spectrum through a quantum entanglement separator, and outputs a standardized time-space event stream; a federation modeling module creates a parallel calculation instance, and a quantum tunneling mechanism is utilized to fuse the feature vectors to generate an equipment association topology model; the chaotic scheduling module generates an atomic task fractal network and assigns the atomic task fractal network to edge nodes; the interface optimization module calculates an interface field mapping relation through a quantum Boltzmann machine; and the closed-loop correction module triggers equipment communication characteristic spectrum re-calibration. Multi-source device communication differences are eliminated through quantum protocol analysis, federated quantum fusion breaks through algorithm collaboration barriers, chaotic fractal scheduling realizes resource dynamic optimization, a closed-loop collaboration system of device access to interface configuration is formed, and the problems of protocol incompatibility of multi-source heterogeneous devices and AI algorithm collaboration obstacles are solved.
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