Dynamic detecting and ensuring method for equipment operating status data quality

Abstract

The invention discloses a kind of specification digest which refers to a detecting and securing method for device running state data quality. According to the characters of data quality problem in device supervising and diagnosing field, it proposes a kind of three-layer data quality security mechanism of hardware real-time supervising, databank managing procedure automatic detection and final determination of data quality managing person, provides the user the high quality data which meets the further diagnosing demands for the user of the device running state data. At the same time, it combines the state of the real device supervising in the industrial field, according to the principle of the device running state, researches the quality real-time supervising parameter and automatic examining principal.

Description

technical field [0001] The invention belongs to the field of equipment state monitoring and fault diagnosis, relates to the field of dynamic detection and assurance of data quality, and further relates to a method for dynamic detection and assurance of equipment operating state data quality based on an offline and online monitoring and diagnosis system. Background technique [0002] Equipment operating status data is the information expression form of equipment operating status, and is the foundation and core of all monitoring and diagnosis technologies. The quality of the data has a crucial impact on the equipment monitoring and diagnosis system. Equipment operation status data is inevitably affected by many interference factors in the process of generation, transmission and use, and contains various interference information irrelevant to equipment status to varying degrees, which affects the real-time judgment of equipment abnormal status or fault status , lead to wrong mo...

AI Technical Summary

Problems solved by technology

Online monitoring automatically collects and analyzes equipment data, and judges equipment status in real time. Once data quality problems occur, the system cannot function normally, resulting in misjudgments and missed judgments on equipment status.

The offline point inspection method is simple and flexible, and it is a low-cost general-purpose equipment monitoring method. However, the monitoring data collection process relies on manual operations, and the data collection and use processes are separated, so the data quality problem is more prominent, which restricts its large-scale , automated promotion and application

At present, research institutions and individuals engaged in equipment monitoring and diagnosis at home and abroad mainly ensure data quality by improving the performance of acquisition hardware and personnel quality, which improves data quality to a certain extent, but does not systematically and effectively solve this problem.

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