CN-122022270-A - Park intelligent cockpit system based on data standardization fusion and intelligent analysis

CN122022270ACN 122022270 ACN122022270 ACN 122022270ACN-122022270-A

Abstract

The invention relates to the field of intelligent park management, and discloses a park intelligent cockpit system based on data standardization fusion and intelligent analysis, which comprises the following components: the system comprises a dynamic heterogeneous data acquisition subsystem, an AI-driven self-evolution data fusion subsystem and an intelligent analysis and active management subsystem. The key point of the invention is that the intelligent analysis and active management subsystem generates a reverse intelligent feedback signal according to the analysis result, the dynamic heterogeneous data acquisition subsystem receives the signal to dynamically adjust the data acquisition behavior of the dynamic heterogeneous data acquisition subsystem, and meanwhile, the AI-driven self-evolution data fusion subsystem also receives the signal to realize the self-evolution of fusion logic of the AI-driven self-evolution data fusion subsystem. The invention solves the technical problems that the data link of the existing cockpit system is unidirectional and cannot be optimized in a self-adaptive way, realizes the self-optimization and self-evolution capability of the whole system, and improves the data processing efficiency and the intelligent level of decision support.

Inventors

LI JINDONG
WANG FENG
LIN JIAHAO
Wang ruhu
ZHANG CHUNYI
LI ZHENYU
LI XUJING

Assignees

深圳市电信工程有限公司

Dates

Publication Date: 20260512
Application Date: 20251231

Claims (10)

1. Campus intelligent cockpit system based on data standardization fuses and intelligent analysis, its characterized in that includes: A dynamic heterogeneous data acquisition subsystem for acquiring raw data from a plurality of data sources employing a plurality of communication protocols and data formats; The AI-driven self-evolution data fusion subsystem performs standardization processing and cross-system association on the original data to generate a fusion data object; the intelligent analysis and active management subsystem is used for receiving and analyzing the fusion data object and generating a reverse intelligent feedback signal according to an analysis result; The AI-driven self-evolution data fusion subsystem is also used for receiving the reverse intelligent feedback signal and realizing self-evolution of fusion logic according to the reverse intelligent feedback signal.
2. The intelligent cockpit system of a campus based on data standardization fusion and intelligent analysis of claim 1 wherein the intelligent analysis and active management subsystem generates reverse intelligent feedback signals at least including: The dynamic heterogeneous data acquisition subsystem is used for guiding the dynamic heterogeneous data acquisition subsystem to adjust acquisition priority of a specific data source and acquisition optimization signals of an acquisition mode; the fusion learning signal is used for guiding the AI-driven self-evolution data fusion subsystem to perform self-update and evolution on fusion rules inside the AI-driven self-evolution data fusion subsystem; a security context signal for dynamically adjusting a security policy.
3. The intelligent cockpit system of a campus based on data standardization fusion and intelligent analysis of claim 2 wherein the dynamic heterogeneous data acquisition subsystem comprises: the multi-protocol adapter array is used for adapting and accessing data to various communication protocols of the fixed subsystem in the park; the mobile data acquisition unit is used for carrying out data supplement acquisition on the area outside the coverage range of the fixed sensor network in the park; And the dynamic acquisition strategy module is used for receiving the acquisition optimization signal and generating a specific acquisition strategy instruction according to the acquisition optimization signal so as to respectively control the data acquisition frequency of the multi-protocol adapter array and the acquisition task of the mobile data acquisition unit.
4. The intelligent campus cockpit system based on data normalization fusion and intelligent analysis of claim 2, wherein the AI-driven self-evolving data fusion subsystem comprises: the multidimensional association engine is used for executing multidimensional association and fusion of the cross-source data according to the fusion rule base; And the fusion rule self-learning engine is used for receiving the fusion learning signal and updating the weight of the fusion rule base or adding and deleting the rule according to the fusion learning signal.
5. The intelligent cockpit system of a campus based on data standardization fusion and intelligent analysis of claim 1 wherein the intelligent analysis and active management subsystem comprises: a predictive analysis engine for performing statistical analysis and predictive modeling on the fused data objects; the AI model service core is used for providing reasoning service of a pre-trained deep learning model; And the system feedback signal generator is used for converting the analysis results generated by the predictive analysis engine and the AI model service core into the reverse intelligent feedback signal.
6. The intelligent cockpit system of a campus based on data normalization fusion and intelligent analysis of claim 2, further comprising: The context-aware self-adaptive security subsystem is in communication connection with the intelligent analysis and active management subsystem and is used for receiving the security context signals, dynamically matching and executing security protection strategies which are adaptive to the current data sensitivity and service context according to the security context signals.
7. The intelligent campus cockpit system based on data normalization fusion and intelligent analysis of claim 6 wherein the context aware adaptive security subsystem includes an adaptive security policy module for: parsing the security context signal to extract a data sensitivity score and a business context criticality score; Synthesizing the data sensitivity score and the business situation criticality score into a comprehensive security policy grade value according to a preset security policy grade decision model; And generating and executing specific dynamic security policies in a linkage way according to the security policy grade value, wherein the dynamic security policies comprise adjusting data encryption intensity, triggering instant redundant backup or executing upgrading authentication.
8. The intelligent cockpit system of a campus based on data normalization fusion and intelligent analysis of claim 1, further comprising: The integrated visual and command subsystem is in communication connection with the intelligent analysis and active management subsystem, and is used for presenting analysis results on the intelligent cockpit interface in a visual mode and providing a closed-loop management and man-machine interaction interface.
9. The intelligent cockpit system of a campus based on data standardization fusion and intelligent analysis of claim 8 wherein the closed loop management and man-machine interaction interface is used to: presenting a structured decision suggestion object generated by the intelligent analysis and active management subsystem; Capturing interaction behaviors performed by a manager for the decision suggestion object, wherein the interaction behaviors at least comprise confirmation execution, correction parameters and rejection suggestion; And packaging the captured interaction behavior information into a standardized manual intervention feedback signal.
10. The intelligent cockpit system of the campus based on data standardization fusion and intelligent analysis of claim 9 wherein the intelligent analysis and active management subsystem is further configured to receive a manual intervention feedback signal and to use the manual intervention feedback signal to verify and optimize models and rules of the intelligent analysis and active management subsystem.

Description

Park intelligent cockpit system based on data standardization fusion and intelligent analysis Technical Field The invention relates to the field of intelligent park management, in particular to a park intelligent cockpit system based on data standardization fusion and intelligent analysis. Background Along with the deep construction of the intelligent park, the integrated intelligent cockpit system has become a core tool for improving the operation management efficiency of the park, and currently, the management of the intelligent park generally depends on a plurality of independent constructed and operated specialized subsystems, such as a security monitoring system, a building automatic control system, an energy consumption management system and the like, and data of the systems are gathered and displayed through a centralized cockpit platform. However, because the subsystems are often derived from different manufacturers, the technical architecture, the communication protocol and the data format of the subsystems have natural barriers, so that the serious information island problem is caused, and the acquisition strategy and the fusion rule of the existing cockpit system are usually statically preset when the data are integrated, and mainly stay on the simple convergence and visual presentation of the multi-source data. The method lacks self-adaptive capability to service situation change, and cannot reversely optimize the data acquisition and processing logic of the bottom layer according to the requirement of upper layer analysis, so that the system is stiff and resources are wasted, and the deep data association value is difficult to effectively mine, so that the refinement level and the prospective decision making capability of park management are limited. Therefore, the invention provides a park intelligent cockpit system based on data standardization fusion and intelligent analysis, which solves the defects of the prior art. Disclosure of Invention The invention aims to provide a park intelligent cockpit system based on data standardization fusion and intelligent analysis, which solves the problems that a data link of the intelligent cockpit system is unidirectional, a collection and fusion strategy is statically solidified, and closed loop self-adaptive optimization cannot be formed. The intelligent cockpit system for the park based on data standardization fusion and intelligent analysis comprises the following technical scheme: A dynamic heterogeneous data acquisition subsystem for acquiring raw data from a plurality of data sources employing a plurality of communication protocols and data formats; The AI-driven self-evolution data fusion subsystem performs standardization processing and cross-system association on the original data to generate a fusion data object; the intelligent analysis and active management subsystem is used for receiving and analyzing the fusion data object and generating a reverse intelligent feedback signal according to an analysis result; The AI-driven self-evolution data fusion subsystem is also used for receiving the reverse intelligent feedback signal and realizing self-evolution of fusion logic according to the reverse intelligent feedback signal. Preferably, the intelligent analysis and active management subsystem generates an inverse intelligent feedback signal at least including: The dynamic heterogeneous data acquisition subsystem is used for guiding the dynamic heterogeneous data acquisition subsystem to adjust acquisition priority of a specific data source and acquisition optimization signals of an acquisition mode; the fusion learning signal is used for guiding the AI-driven self-evolution data fusion subsystem to perform self-update and evolution on fusion rules inside the AI-driven self-evolution data fusion subsystem; a security context signal for dynamically adjusting a security policy. Preferably, the dynamic heterogeneous data acquisition subsystem includes: the multi-protocol adapter array is used for adapting and accessing data to various communication protocols of the fixed subsystem in the park; the mobile data acquisition unit is used for carrying out data supplement acquisition on the area outside the coverage range of the fixed sensor network in the park; And the dynamic acquisition strategy module is used for receiving the acquisition optimization signal and generating a specific acquisition strategy instruction according to the acquisition optimization signal so as to respectively control the data acquisition frequency of the multi-protocol adapter array and the acquisition task of the mobile data acquisition unit. Preferably, the AI-driven self-evolution data fusion subsystem includes: the multidimensional association engine is used for executing multidimensional association and fusion of the cross-source data according to the fusion rule base; And the fusion rule self-learning engine is used for receiving the fusion learning signal and updatin