Printing and dyeing process sewage monitoring index time constraint associated rule mining algorithm

Abstract

The invention relates to a printing and dyeing process sewage monitoring index time constraint associated rule mining algorithm, which is characterized by comprising the following steps of: 1, introducing an association relationship between pollutant discharge and production process evaluation to judge the time correlation of data on the premise of determining the segmentation of pollution parameter time constraint conditions; and 2, if the time is associated, performing fuzzy partition on a pollutant evaluation index range so as to mine a correlation function in a meta-rule fuzzy association mode. The algorithm can automatically and efficiently mine the observer-interested sewage discharge characteristics and an association mode in a selected time interval of a plurality of selected process technical indexes, can give the credibility of the rule, can clearly describe the relationship between the sewage discharge index change and the fluctuating production process in the form of the rule, and avoids the fuzziness and universality of analyzing and summarizing rules in the traditional technology.

Description

technical field [0001] The invention relates to a data mining algorithm aiming at the connection between the evaluation index of the pollution degree in the sewage produced by the process of printing and dyeing enterprises and the characteristic parameters of the production process. Background technique [0002] Since the 1970s, developed countries took the lead in taking pollution reduction as one of the key points of the environmental sustainable development strategy. In recent years, my country has gradually strengthened its guidance on this issue from the perspective of policies and regulations. In recent years, driven by the steady and rapid growth of the textile industry, the printing and dyeing industry has developed rapidly. At the same time, its development is increasingly restricted by resources and the environment. The impact of the printing and dyeing industry on the environment is mainly reflected in the water consumption, energy consumption and sewage dischar...

AI Technical Summary

Problems solved by technology

[0003] When printing and dyeing enterprises evaluate the relationship between pollutant emissions and production processes, traditional econometric modeling methods can meet the basic needs of this problem in some cases, but as the amount of data continues to increase, these methods cannot efficiently Dealing with large-scale data sets is not suitable for actively discovering various potential rules from a large amount of data

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