Remote running error correction method for intelligent gas meters

Abstract

The invention relates to a remote running error correction method for intelligent gas meters. The method comprises the steps that 1, clustering installation is conducted on the intelligent gas metersto form a tree topological structure; 2, a flow conservation basic model of a intelligent gas meter cluster is obtained; 3, pipeline loss error correction is conducted, and a virtual branch is introduced to dynamically correct a intelligent gas meter cluster topological model, so that a flow conservation algorithm model is obtained; 4, multiple pieces of gas flow increment data of the intelligentgas meter cluster is obtained, and a relative error is calculated; 5, uncertainty evaluation is conducted on a calculation result; 6, an error calculation result is obtained. By means of the method, the costs of marketing and operating can be effectively reduced, and loss of resources such as workers, vehicles and equipment in a check process can be greatly reduced; moreover, through achievement of remote checking, precise replacement of broken-down intelligent gas meters can be achieved, and the number of trouble-free intelligent gas meters which are dismounted can be lowered, which is greenand environmentally-friendly; a purpose fund is saved, so that the operational and maintenance costs of an enterprise are greatly reduced, quality and efficiency improvement is achieved, and significant economical benefits and social benefits are provided.

Description

Technical field [0001] The invention belongs to the field of gas metering, in particular to a remote calibration method for operating errors of an intelligent gas meter. Background technique [0002] The accuracy of measuring devices in operation has always been a hot issue that residents and State Grid Corporation of China pay most attention to. At present, statistical analysis methods or the addition of online testing equipment are usually used to monitor and evaluate the operating errors of smart gas meters. Although the statistical analysis method has changed the single-phase smart gas meter used by residents in the past from regular rotation to random inspection, it is still the control of the overall batch; the addition of online monitoring equipment will definitely increase the procurement and maintenance costs of the enterprise. This method Maintenance costs are high and have limitations. [0003] After searching, no published patent documents of similar technologies were...

AI Technical Summary

Problems solved by technology

Although the statistical analysis method has changed the single-phase smart gas meters 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. High maintenance costs and limitations

[0003] After searching, no published patent documents of similar technologies were found

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