Method for memorizing real time measure point data facing quick review

Abstract

A method for memorizing real time measure point data facing quick review comprises the following steps: a) dividing real time data measure data to be memorized into a real time group; b) entering theprocedure of real time group object initialization; c) entering the procedure of opening a historical data file; d) reading the time of the real time measure point and the real time data of all the real time measure points from a real time measure point data collection unit, and writing into a memory buffer zone after binary encoding; e) updating the collection time of the real time group by usingthe current computer time; f) judging whether the memory buffer zone is full, if yes, entering step g), and if not, entering step h); g) writing the data in the memory buffer zone into the historicaldata file and emptying the memory buffer zone; h) judging whether to carry out the next real time data collection, if yes, entering step d), and if not, entering step i); and i) obstructing the realtime group data collection thread for suspending for 2 seconds, and afterwards returning to step h).

Description

technical field [0001] The invention relates to the field of real-time measuring point databases, in particular to a fast playback-oriented real-time measuring point data storage method. Background technique [0002] At present, the characteristics of real-time measuring point data are simple structure, high collection frequency, large amount of data, and high requirements for real-time performance. Usually, these real-time measurement point data are stored in a certain file format of the industrial control system manufacturer, or stored in a commercial real-time measurement point database. The preserved real-time measuring point data (that is, historical data) is very precious information. If you want to investigate and analyze past accidents, the best way is to be able to truly and completely reproduce the scene at that time, that is, historical data playback. Just like playing a movie, if you miss a section, you can play back that section by moving the pointer. However...

AI Technical Summary

Problems solved by technology

The above storage methods maximize the saving of storage space, but this method of exchanging time for space will undoubtedly increase the burden on the CPU, and also cause great limitations to the use of historical data. Fast history playback, which is difficult to achieve only with PI real-time measurement point database

[0004] At present, the price of physical storage is relatively low, and disk space is no longer the primary consideration for real-time measurement point data storage. In this case, how to optimize the storage structure, make reasonable use of data, and quickly retrieve and playback massive data is the need Key considerations, but for now, there is no real-time measurement point database product on the market that can solve this problem well

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