Remote calibration method for operation error of generalized flow instrument

Abstract

The invention relates to a remote calibration method for an operation error of a generalized flow instrument, and the method comprises the steps: (1), installing a generalized flow instrument clusterto form a tree-shaped topological structure; (2), obtaining a flow conservation algorithm model of the generalized flow instrument cluster based on the tree-shaped topological structure formed by thegeneralized flow instrument cluster; (3), correcting a line loss error, introducing a virtual branch to correct the topological model of the generalized flow instrument cluster, and correcting the flow conservation algorithm model; (4), calculating a relative error; (5), correcting a calculation result and estimating the degree of uncertainty; (6), obtaining an error calculation result. The methodemploys a full data sample thinking mode for 0.48 billion online operating intelligent electric energy meters of the State Grid Corporation, achieves the mining of mass electric energy data of a power utilization information collection system for power users, does not need an external standard instrument, achieves the performing of the remote calibration technology of the intelligent electric energy meters, enables the power supply side and a power utilization side to know the accuracy of an electric energy metering device in real time, meets the expected demands of customers, and improves the enterprise image.

Description

technical field [0001] The invention belongs to the field of flow meter measurement, in particular to a method for remote calibration of operating errors of generalized flow meters. Background technique [0002] The accuracy of electric energy metering devices in operation has always been a hot issue that residents and State Grid Corporation are most concerned about. At present, the State Grid Corporation uses statistical analysis methods or adding online detection equipment to realize the supervision and evaluation of the operating errors of smart energy meters. Although the statistical analysis method has changed the single-phase electric energy meter used by residents in the past from regular rotation to random inspection, it is still the control of the overall batch; adding online monitoring equipment will definitely increase the purchase and maintenance costs of the enterprise. This method maintains Costly and limited. [0003] The goal of this technical solution is t...

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