System integration drill verification method and platform

By constructing a system integration exercise and verification platform, the problems of sensor on-site accuracy verification, system risk early warning, and capability evaluation in smart city security monitoring have been solved. It has realized the reliable measurement of sensor on-site accuracy and the quantitative classification of system performance, provided a physical verification benchmark for progressive destruction, and supported multi-party verification needs.

CN122333751APending Publication Date: 2026-07-03FUZHOU UNIV
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Patent Information

Application Number
CN202610432365.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-02
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

The field of smart city safety monitoring lacks effective means to verify the real performance of systems. The accuracy of sensors in the field is difficult to verify, there is a lack of verifiable benchmarks for structural safety evolution and damage early warning, and the technical capability evaluation system is unclear, which leads to misallocation of resources and waste of efficiency.

Method used

A system integration exercise and verification method and platform are constructed. Through a modular exercise and verification platform, combined with physical-digital hybrid simulation, the on-site accuracy verification of sensors, the system risk warning and damage assessment capabilities are quantified, and a multi-dimensional system performance grading and evaluation system is established.

Benefits of technology

It achieves reliable measurement of sensor accuracy in the field, provides a physical verification scale for progressive destruction, establishes a well-guided capability grading system, and possesses high versatility and scalability, supporting multi-party verification needs.

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Abstract

The invention relates to a system integration drill verification method and platform, the platform comprises a platform end and a client, the platform end comprises a core simulation carrier subsystem used for constructing a reconfigurable physical model and a digital twinborn simulation model thereof; the disaster simulation driving subsystem is used for integrally driving the physical model to generate an effect and synchronously driving simulation of the digital model; the high-precision measurement reference subsystem is used for providing reference measurement data to verify the accuracy of the client sensing system; and the central processing and evaluation subsystem is used for automatically evaluating the performance. According to the method, through collaborative operation of the platform, quantitative verification and grading evaluation of perception, decision making and cross-domain collaborative full-link efficiency of a client-side system to be verified in a simulated disaster environment are achieved. The problem that in the prior art, after a complex system is integrated, an actual combat and standardization verification benchmark is lacked is solved, and a key tool is provided for reliability evaluation, technical capability grading and industrial health development of various Internet of Things sensing and decision systems in the fields of smart cities, tough cities and the like.
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