Data quality detection method based on energy data collection

Abstract

The invention discloses a data quality detection method based on energy data collection. The method comprises the content that (1) a data value range of telemetry is set, and after telemetry data is collected, whether the data exceeds the range is judged, and corresponding processing is performed; (2) a range of remote pulse values and actual use values is set, and after the remote pulse values are collected, original data and the actual use values are judged and processed; and (3) a data value range of remote signaling and event types is set, data of remote signaling and the event types is collected, whether the data exceeds the range is judged, and corresponding processing is performed. The method has the advantages that quality judgment of original data and statistical data of multipledata types of an energy relevant management system is supported, data quality analysis means of the energy relevant management system are improved, and the real reason for a system data problem can beeasily found out through monitoring of equipment data quality. Meanwhile, modular processing of programs is performed on logic service judgment of all the data types.

Description

technical field [0001] The invention relates to a data quality detection method based on energy data collection, which can be used by all energy collection platforms and systems, and can be acquired and applied by various energy management platforms and systems at the same time. A data quality monitoring of energy metering equipment in energy management solutions, involving all classified energy metering fields, including equipment for various energy classification items, including electricity meters, water meters, gas meters, heat meters, oxygen meters, etc. Background technique [0002] In energy-related management systems, the quality of data has always been a relatively difficult problem to solve, mainly manifested in: the data at the equipment layer itself is unstable, and the proportion of equipment data not reported according to the actual value due to equipment failure is quite high; network environment factors lead to The reported value of the data is misplaced; the...

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Problems solved by technology

[0002] In energy-related management systems, the quality of data has always been a relatively difficult problem to solve, mainly manifested in: the data at the equipment layer itself is unstable, and the proportion of equipment data not reported according to the actual value due to equipment failure is quite high; network environment factors lead to The reported value of the data is misplaced; the environment measured by the equipment is unstable, resulting in abnormal environmental data, etc.

If these data are not shielded or effectively eliminated, it will directly affect the stability of the energy-related management system and the correctness of the actual use data calculation

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