High-frequency time series data real-time sparse display method based on number of pixel points

Abstract

The invention relates to the technical field of industrial data acquisition visualization, in particular to a high-frequency time series data real-time sparse display method based on the number of pixels. The method comprises the following steps: when an oscillogram of a time series data point is displayed on a computer graphical interface, a point tracing display method is adopted, points in an actual coordinate system are converted into pixel coordinate system points for point tracing, the time sequence is horizontal coordinates, the amplitude is vertical coordinates, the time sequence is converted into horizontal coordinate pixels, the amplitude is converted into vertical coordinate pixels, and then the points are connected through folding lines. Under the condition of high-frequency data acquisition, data can be acquired; the data point density is very large, if a signal waveform curve is displayed in real time without distortion, a large amount of computer performance and networkperformance can be consumed, the data sparse method based on the number of pixel points is provided, and the signal waveform curve can be displayed in real time without distortion under the conditionthat the computer hardware performance is not improved.

Description

technical field [0001] The invention relates to the technical field of industrial data collection and visualization, in particular to a real-time sparse display method for high-frequency time-series data based on the number of pixels. Background technique [0002] In the process of monitoring the operation status of industrial equipment, it is usually necessary to collect various status data during the operation of the equipment, such as vibration, current, noise and other data. Due to the needs of data analysis, it is usually necessary to sample these data at a higher frequency , generally the sampling frequency needs to be 10KHz or above. In order to be able to visually see the changes in the operating status of the equipment in real time, it is necessary to graphically display these data using curves and other methods. If all the collected data is rendered and displayed on the graphical interface, due to the high sampling frequency, the number of data points is very large...

AI Technical Summary

Problems solved by technology

In order to be able to visually see the changes in the operating status of the equipment in real time, it is necessary to graphically display these data using curves and other methods. If all the collected data is rendered and displayed on the graphical interface, due to the high sampling frequency, the number of data points is very large , and the data points need to be updated in real time, which will cause the interface to freeze, delay and other phenomena. Usually this problem can be solved by improving the hardware performance of the computer, or adopting the re-sampling method (that is, re-sampling the original collected data points with for graphical display), but improving the performance of computer hardware will increase the cost, and re-sampling will cause a certain degree of distortion of the displayed waveform curve

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