Data processing method and device

Abstract

Embodiments of the application provide a data processing method and device. The method comprises: receiving reported data reported at a current moment; determining a first moment when latest reported data is received before the current moment; according to a preset data reporting cycle, determining whether an absent data reporting moment exists within a time interval between the first moment and the current moment; when an absent data reporting moment exists within the time interval, according to the data reporting cycle, determining a second moment when reported data is absent within the time interval; and on the basis of the reported data reported at the current moment and the reported data received at the first moment, reconstructing and storing reported data corresponding to the second moment. The method and device can reduce the situations that reported data cannot be analyzed because the reported data is absent.

Description

technical field [0001] The present application relates to the technical field of data processing, and more specifically relates to a data processing method and device. Background technique [0002] Data reporting is involved in many industries, and data reporting refers to the process of uploading downstream data to upstream data. For example, the water volume monitoring facilities in each area under the water supply company report the water consumption in the area; another example, a company’s energy efficiency monitoring system has an external LED screen to display the monitored energy consumption data. All kinds of energy consumption data required such as: current, voltage, temperature and humidity, etc., through the real-time collection of data from monitoring equipment and sensors and other terminal monitoring equipment by the collector, to obtain and display the reported monitoring data, so as to collect and report the metadata Do statistical analysis and processing, ...

AI Technical Summary

Problems solved by technology

In practical applications, data cannot be reported normally due to external factors or equipment failures. For example, due to sensor failures, there is no reported data in a certain period.

However, when the reported data cannot be obtained in some periods, and the reported data is missing, the analysis page cannot be displayed due to the inability to retrieve the complete reported data, resulting in the inability to analyze the reported data.

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