Data acquisition method and system and storage medium

By integrating multiple sensor devices and data interfaces, and combining multi-mode fusion modules and deep learning technology, the problem of insufficient multi-source data fusion and warning accuracy in the urban emergency management Internet of Things system has been solved, efficient and accurate data fusion and risk warning have been achieved, and the decision-making support capabilities of the emergency management system have been improved.

CN120597189APending Publication Date: 2025-09-05BULK ONLINE SERVICES (NANTONG) CO LTD
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Patent Information

Application Number
CN202510554870.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-29
Publication Date
2025-09-05

AI Technical Summary

Technical Problem

The multi-source data fusion capability of the urban emergency management Internet of Things system is insufficient, and the accuracy of intelligent early warning needs to be improved. The existing system is difficult to achieve efficient fusion and accurate early warning of multiple sensor data, especially in complex environments such as the production, storage and transportation of hazardous chemicals. The data consistency is poor, affecting the accuracy of decision support and the accuracy of early warning.

Method used

The data source module is used to integrate multiple sensor devices and data interfaces, cross-modal fusion is performed through the multi-modal fusion module, the dynamic weight distribution mechanism and fuzzy logic evaluation are used to calculate the data consistency factor, and deep learning technology is combined to optimize and analyze data, generate risk prediction parameters, and dynamically generate early warning execution plans.

Benefits of technology

It has improved the fusion accuracy and stability of multi-source data, significantly enhanced the system's risk identification and early warning capabilities in complex environments, reduced false alarms and missed alarms, and comprehensively improved the prevention and control capabilities and emergency response efficiency of the urban emergency management system.

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Abstract

The invention discloses a data acquisition method and system and a storage medium, and relates to the technical field of data acquisition and processing.According to the technical scheme, multiple sensor devices and data interfaces are integrated, multi-source data are acquired in real time, format standardization processing, time synchronization correction and spatial information alignment are carried out through a multi-mode fusion module, and the data acquisition efficiency is improved. Calculating to obtain a data consistency factor Tyhz and evaluating the data consistency factor Tyhz; when the data consistency factor Tyhz does not reach the standard, a data optimization module performs noise filtering and abnormal value elimination on a multi-source data set, and an intelligent analysis module calculates a risk prediction parameter Fcyz by using a convolutional neural network; the early warning evaluation module compares the Fcyz with a risk evaluation threshold Fth, calculates a risk early warning index Gyzs, compares the risk early warning index Gyzs with a risk early warning threshold E, and dynamically generates an early warning execution scheme, so that information pushing and emergency resource scheduling are realized, the problems of low multi-source data fusion efficiency and insufficient early warning precision are solved, and the safety of the system is improved. And the risk identification and emergency response capabilities of the urban emergency management system are effectively improved.
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