A Method of Fusion Storage of Slow Serial Port Data and High Speed ​​Acquisition Data

Abstract

The invention discloses a method for performing fusion storage on low-speed serial data and high-speed collection data. The method comprises the steps that 1, initialization setting is performed on adata collection and storage system; 2, a master control module sends the high-speed collection data to a collection and storage module; 3, the master control module sends the low-speed serial data tothe collection and storage module; and 4, the collection and storage module performs fusion storage on the low-speed serial data and the high-speed collection data. The method can meet the applicationdemand of serial online asynchronous update and adapt to sending of a new parameter list by the master control module at any moment in any cycle, the new parameter list can be updated to a frame header of each data fusion frame to be sent into a storage space with minimum time delay, and the information completeness of the parameter list is ensured. The method also achieves the function of performing reliable fusion storage on the low-speed serial data and the high-speed collection data, and the data instantaneity, completeness and reliability of data collection and storage equipment are effectively improved.

Description

Technical field [0001] The invention relates to asynchronous data fusion technology, in particular to a method for fusing and storing slow serial port data and high-speed collected data. Background technique [0002] The data acquisition and storage system needs to be compatible with a variety of interfaces with different rates, such as a serial port (less than or equal to 1Mbps), and a high rate such as 4X optical ports (greater than or equal to 1Gbps, less than or equal to 10Gbps). Among them, the serial port is usually used for the system main control module to send a list of parameters to the acquisition and storage module, such as frame header, frame length, number of data channels, data type and other important information for information extraction, data analysis and algorithm verification. Although the update rate of this kind of information is slow and the amount of data is small, it must be stored completely following each frame of the original acquisition data acquired...

AI Technical Summary

Problems solved by technology

[0006] 2. In a distributed system, it is very easy to have the obvious disadvantage of time scale asynchronous, especially in many application environments, the data interface rate has reached 10Gbps, and the time accuracy is extremely high. Even in a synchronous system, it is processed at a GHz-level clock frequency Packing data, it is also very difficult to synchronize the data of the asynchronous interface, and the data reliability is at risk

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