Digital-analog construction method of gas medium metering data early warning system

Abstract

The invention relates to a method for constructing a mathematical model of a gas medium metering data pre-warning system. The method is composed of a method for constructing a mathematical model of a gas flow metering system instantaneous quantity data exception pre-warning system, a method for constructing a mathematical model of a gas flow cumulative data exception pre-warning system and a method for constructing a mathematical model of a total supply quantity and a total using quantity data deviation abnormity warning system. By means of the method for constructing the mathematical model of the gas medium metering data pre-warning system, function development and expansion of an energy medium metering data exception pre-warning system can be achieved, gas medium metering data are accurate and reliable, and data maintenance is convenient and rapid; and a certain reference function is provided for establishing a metering data information management system and function development for other metallurgy enterprises, and particularly, high technical guidance values are provided for large metering equipment and maintenance work of metering data.

Description

technical field [0001] The invention relates to the technical field of establishment of an early warning model data structure of a power energy metering management information system of a large and medium-sized metallurgical enterprise and the high-quality maintenance of metering equipment and metering data, in particular to a digital model construction method of a gas medium metering data early warning system. Background technique [0002] For the maintenance and management of energy medium measurement data, domestic metallurgical enterprises mostly use manual statistics, analysis and balance. For some enterprises that have built power energy measurement management information systems, they are limited to the collection and data collection of on-site measurement data. The basic functions such as browsing and query, and the information such as the maintenance status of metering equipment and measurement data are not intuitive and timely, and there are problems such as backwar...

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Problems solved by technology

[0002] For the maintenance and management of energy medium measurement data, domestic metallurgical enterprises mostly use manual statistics, analysis and balance. For some enterprises that have built power energy measurement management information systems, they are limited to the collection and data collection of on-site measurement data. Basic functions such as browsing and query, and information such as the maintenance status of measurement equipment and measurement data are not intuitive and timely. There are problems such as backward measurement data management, untimely handling of measurement equipment failures, lagging data feedback, and many measurement disputes.

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