Sensor data processing method, device and computer equipment

Abstract

Embodiments of the invention provide a sensor data processing method, a device and computer equipment. The method comprises the steps of obtaining initial sensor data; wherein the initial sensor data comprises a plurality of sub-sensor data; when the alarm information is received, recognizing time point information corresponding to the alarm information; determining the sub-sensor data corresponding to the time point information as specific sub-sensor data; adding an alarm mark to the specific sub-sensor data; by adopting the technical scheme of the invention, the data can be classified under the condition that the data is not copied, and Internet of Things service functions such as data difference, quick query and quick processing are realized.

Description

technical field [0001] The invention relates to the field of mechanical technology, in particular to a sensor data processing method, a sensor data processing device, a computer device and a storage medium. Background technique [0002] At present, sensor data collection generally reports time-series data points, which mainly need to report the name, value and time of the data point. Sensor data without uncomparable data is often of little use. For example, the reading of the water depth of 5 meters is meaningless, and it is meaningful to compare it with historical data. If the historical water depth is 10 meters, then the reading of 5 meters means the dry season; if the historical water depth is 1 meter, then the reading of 5 meters means the water level is high. Sensor data points are often multipurpose. Reported data points may be alarm data or calibration values. In the prior art, data points are generally stored in multiple copies, which easily causes the problem of...

AI Technical Summary

Problems solved by technology

In the existing technology, data points are generally stored in multiple copies, which may easily cause the problem of data dispersion

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