Data verification system and data verification method of energy management and control system of tobacco enterprise

Abstract

The invention discloses a data verification system and a data verification method of an energy management and control system of a tobacco enterprise. The data verification method comprises the following steps of collecting required data from various systems established and a measuring meter newly added in the tobacco enterprise by a data acquisition unit; storing the collected data to a data cache; verifying the data, stored in the data cache, by adopting a data verifier containing a data sorting algorithm for improving a zero matrix method, a least square data coordination algorithm, a node residual detection algorithm and a revised iterative measurement residual test method and synchronous-compensatory general likelihood method joint test correction algorithm; storing the verified data into a real-time database for the energy management and control system of the tobacco enterprise to use. The data verification system and the data verification method of the energy management and control system of the tobacco enterprise are faster in computing speed and higher in appreciable error recognition rate, and are capable of guaranteeing the validity and the accuracy of the service data of the energy management and control system of the tobacco enterprise.

Description

Technical field [0001] The invention relates to the technical field of data verification and processing of energy management and control systems for cigarette enterprises, and in particular to a data verification system and method for energy management and control systems of cigarette enterprises. Background technique [0002] The data in the energy management and control system of cigarette enterprises mainly includes detailed data of air pressure system, softened water system, boiler system, reclaimed water treatment system, power distribution system, air conditioning system, refrigeration system equipment, etc. These data are usually from the resources of the established enterprise It is collected from the planning system (ERP), distributed control system (DCS), manufacturing execution system (MES) system and newly added measuring instruments. [0003] Accurate measured data collected in the energy management and control system of cigarette enterprises is the basic guarantee for...

AI Technical Summary

Problems solved by technology

Data verification technology has been applied in some industries, and generally adopts the global test method (GT), the node residual detection method (NT), the measurement point detection method (MT) and the generalized likelihood ratio method (GLR), etc., but A single verification method exists, so there are deficiencies

For example, the global test method (GT) cannot locate significant errors, and cannot specify which specific measured data have significant errors; the node residual detection method (NT) cannot specifically locate which measured data contain significant errors; In the process of calculating the correction value, the MT method spreads the large errors on some measured data to other measured data, so that the measured data that originally did not contain significant errors are misjudged to contain significant errors; the generalized likelihood The ratio method (GLR) is less efficient in identifying multiple significant errors

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