A Big Data-Based Analysis Method for Energy-saving Potential of Waste Heat Boiler

Abstract

The invention relates to a waste heat boiler energy-saving potential analysis method based on big data, and is realized through a Hadoop big data analysis platform. The Hadooop big data analysis platform comprises a data layer, a business layer and a presentation layer. The method comprises the following steps that: the data layer collects and stores waste heat boiler data; the business layer selects the main steam flow of the boiler from the stored waste heat boiler data as output and selects an influencing parameter as input to construct a three-layer BP (Back Propagation) neural network model; the business layer trains the three-layer BP neural network model to obtain the technological parameter model of the waste heat boiler; the business layer utilizes genetic algorithm optimization to optimize the technological parameter to obtain the optimal technological parameter combination of the waste heat boiler; and the business layer calculates corresponding annual saved ton of standardcoal, obtains the energy saving rate of the waste heat boiler and carries out displaying through the presentation layer. Compared with the prior art, the method has the advantages that an analysis result obtained by a big-data platform is accurate, an amount of energy saving is improved and the like.

Description

technical field [0001] The invention relates to the field of energy-saving potential analysis, in particular to a method for analyzing the energy-saving potential of waste heat boilers based on big data. Background technique [0002] Energy saving is one of the key factors for the country's sustainable development. According to statistics, my country's overall energy consumption accounts for the largest proportion of industrial energy consumption, but the effective utilization rate of energy is only about 30%, which is far lower than that of European developed countries. Therefore, my country's development Energy saving work is imperative. At present, a common problem faced by the whole world is energy shortage, which is a major test for the energy conservation work of all countries. In response to this problem, our country has taken various measures, one of which is to promote the use of energy-saving equipment. At present, the design and development of domestic energy-sav...

AI Technical Summary

Problems solved by technology

[0006] The above methods mainly use traditional data analysis methods to analyze the energy-saving potential of equipment. However, these traditional methods can no longer meet the needs of analyzing a large amount of energy consumption measurement data and working condition data generated by waste heat boilers. Therefore, a big data-based The energy-saving potential analysis method of waste heat boiler provides a strong technical guarantee for the processing of massive data generated by the operation of waste heat boiler and the analysis of energy-saving potential, which is of great significance to the energy-saving and emission reduction work of enterprises

Images