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Industrial-enterprise-oriented online multi-dimensional energy consumption data statistics modeling method

A technology of energy consumption data and statistical modeling, applied in electrical digital data processing, special data processing applications, computing, etc., can solve problems affecting the timeliness of statistical analysis, affecting decision-making, etc., to reduce complexity and cost, improve time-sensitive effect

Inactive Publication Date: 2014-11-05
NR ELECTRIC CO LTD +1
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Problems solved by technology

When the energy consumption measurement object or output measurement object changes, the existing methods often require enterprise IT personnel to develop support to obtain updated objects, which will affect the timeliness of statistical analysis and thus affect decision-making

Method used

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  • Industrial-enterprise-oriented online multi-dimensional energy consumption data statistics modeling method
  • Industrial-enterprise-oriented online multi-dimensional energy consumption data statistics modeling method
  • Industrial-enterprise-oriented online multi-dimensional energy consumption data statistics modeling method

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Embodiment Construction

[0030] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0031] The invention provides an online multi-dimensional energy consumption data statistical modeling method for industrial enterprises. The process includes efficient acquisition of energy consumption and production data and unified management, multi-dimensional modeling of data to provide flexible analysis and statistical support and online multi-dimensional update data model.

[0032] The multidimensional data model is mainly composed of cube, dimension and measure. Dimensions form the edges of multidimensional data, similar to a certain dimension of a multidimensional coordinate axis, which is an attribute of a certain aspect of the data. Since things in nature can have multiple attributes, a data cube can have multiple dimensions. For example, for energy consumption data, time can be one of its dimensions, because energy consumption...

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Abstract

The invention discloses an industrial-enterprise-oriented online multi-dimensional energy consumption data statistics modeling method, which comprises the following steps of: respectively acquiring energy consumption metering data objects from an enterprise energy management and control system, acquiring yield data objects from an ERP (enterprise resource planning) system and establishing global unified metering objects; using energy, product, generation unit and time as a four-dimension model for enterprise energy consumption data statistics, and respectively establishing an enterprise energy consumption multi-dimensional data model and an enterprise yield multi-dimensional data model; establishing a mapping relation between members of the energy, product, generation unit and time dimensional model and the corresponding global unified metering objects to complete the unified modeling of the energy and production data of the energy management and control system and the ERP system; and through online modification of each dimension and online data acquisition of the global unified metering objects, realizing online maintenance, filling and updating of dimensions and multi-dimensional data. By adopting the method, enterprise analysis personnel can efficiently and flexibly analyze the enterprise energy consumption data from multiple angles.

Description

technical field [0001] The invention belongs to the technical field of statistical modeling of energy consumption data of industrial enterprises, and in particular relates to an online statistical modeling method for multidimensional data, which is used for statistical analysis and modeling of energy consumption data of industrial enterprises. Background technique [0002] With the continuous deepening of national energy conservation and emission reduction policies, the pressure on industrial enterprises to save energy is increasing day by day. In order to meet the national energy-saving standards, various enterprises have adopted various means to improve energy utilization and reduce energy dissipation. Among them, the establishment of an energy consumption statistical decision-making system can effectively conduct statistics and analysis of important index data such as energy consumption and unit consumption of industrial enterprises, thereby helping Managers make plans an...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50
Inventor 金浩姜彬李磊芳解凯沈全荣
Owner NR ELECTRIC CO LTD
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