Industrial new and old kinetic energy conversion effect evaluation method based on electric power big data

Abstract

The invention discloses an industrial new and old kinetic energy conversion effect evaluation method based on electric power big data. The method comprises the following steps: step 1, constructing a two-dimensional three-layer measurement and calculation index library; 2, obtaining measurement and calculation indexes influencing industrial new and old kinetic energy development; 3, measuring and calculating index data processing is carried out; 4, determining the weight of each measurement index; 5, measuring and calculating industrial new and old kinetic energy development indexes; 6, measuring and calculating an industrial new and old kinetic energy conversion index; the method has the advantages of being high in real-time performance, wide in coverage and high in accuracy.

Description

technical field [0001] The invention belongs to the technical field of new and old kinetic energy conversion technology, and specifically relates to a method for evaluating the effectiveness of industrial new and old kinetic energy conversion based on electric power big data. Background technique [0002] In recent years, the pace of transformation of old and new growth drivers has accelerated, and has become a key driving force for high-quality development. It calls for efforts to cultivate new growth points, form new growth drivers, support the optimization and upgrading of traditional industries, and cultivate advanced manufacturing clusters. It is clearly required to accelerate the innovation and application of key core technologies. At present, China is in the critical period of the transformation and continuation of new and old industries and development kinetic energy. Using electric power big data to construct the industrial new and old kinetic energy conversion index...

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Problems solved by technology

[0002] In recent years, the pace of transformation of old and new growth drivers has accelerated, and has become a key driving force for high-quality development. It calls for efforts to cultivate new growth points, form new growth drivers, support the optimization and upgrading of traditional industries, and cultivate advanced manufacturing clusters. It is clearly required to accelerate the innovation and application of key core technologies. At present, China is in the critical period of the transformation and continuation of new and old industries and development kinetic energy. Using electric power big data to construct the industrial new and old kinetic energy conversion index is conducive to evaluating the development effect of the transformation of new and old kinetic energy, and accurately grasping the development and growth of new growth drivers. The direction, focus and main focus of kinetic energy have important practical significance for accelerating the conversion of new and old kinetic energy. At present, various domestic research institutions have carried out certain analysis and research on the connotation definition, index selection and index construction of the new and old kinetic energy conversion. It provides a different perspective for understanding the conversion of new and old kinetic energy, but there are still the following shortcomings in the part of the existing research on the quantitative measurement of the conversion of new and old kinetic energy: First, the current index system reflecting the effectiveness of the conversion of new and old kinetic energy is relatively complex, and the indicators are too broad It is very easy to lose focus, and it is impossible to grasp the key link of the conversion of old and new kinetic energy; second, the indicators currently selected are mostly macroeconomic indicators, and rarely involve subdivided industries and micro data at the enterprise level, which makes the calculation results insufficient in accuracy and difficult to measure. Accurately reflect the effect of the conversion of new and old kinetic energy; third, the selected index data is generally annual, and the annual data usually has a certain lag, which makes it difficult to meet the requirements of timeliness and cannot grasp the current effectiveness of the conversion of old and new kinetic energy in a timely manner; therefore, a real-time Strong, wide coverage, high accuracy, adding a new perspective to observe and analyze the effect of old and new kinetic energy conversion in industry for the new and old kinetic energy conversion research system

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