A method and system for multi-dimensional sensing optimization of the Internet of Things based on data alignment

Abstract

The invention relates to a data alignment-based multi-dimensional sensing optimization method and system for the Internet of Things. By accumulating and storing data from different sources collected on devices, the relative relationship between clocks of different data sources and the alignment of multi-sensor data are determined. The best possible matching alignment method aligns the data sampled at the same time to obtain a complete data packet, realizing multi-dimensional sensing optimization of different sensor data on the same device in time. The present invention is based on the improved Niedermann-Wonsch algorithm, introduces information on the time structure, and can realize data alignment in the big data system of the Internet of Things, so that the data of the Internet of Things on different latitudes can be unified on the time latitude Processing provides the basis for subsequent failure prediction and predictive maintenance.

Description

technical field [0001] The invention relates to the field of information processing of the Internet of Things, in particular to a method and system for multi-dimensional sensing optimization of the Internet of Things based on data alignment. Background technique [0002] Synchronous alignment is a core technology and problem in the field of data communication. In the application scenario of the Internet of Things for industrial equipment, it is necessary to collect many different sensor signals such as equipment control signals, vibration signals, and thermal imaging. These signals come from different sensors. These sensors They may come from different manufacturers, use different data transmission equipment, such as Data Exchange Unit (DTU) or Remote Terminal Unit (RTU), and may be uploaded to different clouds. In the existing Internet of Things, it is necessary to use a time synchronization method such as GPS time synchronization to realize the synchronous alignment of sam...

AI Technical Summary

Problems solved by technology

The research and development costs of equipment and sensors are very high. It is difficult to develop a unified IoT platform to cover all the equipment states that need to be measured. It is necessary to combine technical solutions from multiple technology manufacturers and suppliers.

However, it is very difficult to interconnect and interoperate with the solutions of different manufacturers, and it is even more difficult to achieve time synchronization. Therefore, in such industrial IoT scenarios, the existing clock synchronization data alignment technology cannot be realized.

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