Improved hierarchical clustering method for sewage abnormity detection

Abstract

The invention discloses an improved hierarchical clustering method for sewage abnormity detection. The invention provides an improved hierarchical clustering method applied to automatic monitoring ofsewage abnormity detection. According to the method, the terminal condition is judged through an LDA information gain algorithm in combination with a grid clustering idea in machine learning, so thathigh efficiency and accuracy of clustering are realized, an optimal clustering scheme of data is determined, and abnormity in sewage treatment is determined through judgment of a normal cluster and anabnormal cluster. In order to identify abnormal data in sewage treatment data, an improved hierarchical clustering algorithm based on grids is applied to detect data abnormity. According to the algorithm, grid clustering is used for data preprocessing, and an LDA algorithm is used for judging optimal clustering. Through combination of grid clustering, the overall clustering efficiency is improved; meanwhile, the accuracy degree of the whole clustering process is guaranteed through cohesion type hierarchical clustering, an LDA-based information gain algorithm serves as a clustering terminationcondition, and therefore the problem that the clustering effect is unstable in the hierarchical clustering algorithm is well solved, and the intra-class variance is minimum and the inter-class variance is maximum after projection.

Description

technical field [0001] The invention relates to an abnormality detection method applied to the process flow of sewage treatment, which is used to realize the abnormality detection in the process of sewage treatment. Background technique [0002] With the rapid development of my country's industrial production and the continuous advancement of contemporary science and technology, the discharge of industrial wastewater and domestic sewage generated in cities is increasing year by year, and water pollution caused by human activities is becoming more and more serious. How to improve sewage treatment The treatment efficiency of the process and the reduction of the treatment cost of the sewage process have become problems that need to be solved urgently. At present, my country has made great progress in the construction of sewage treatment plants, and the problem of environmental pollution has also been relatively improved. However, most sewage treatment plants have problems such a...

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Problems solved by technology

At present, my country has made great progress in the construction of sewage treatment plants, and the problem of environmental pollution has also been relatively improved. However, most of the sewage treatment plants have problems such as low automation level, high treatment cost, and large energy consumption. And other issues

In the process of sewage treatment, the failure of the process not only leads to low efficiency of the sewage treatment process, affects the quality of the effluent water under the process, but also increases the overall energy consumption of sewage treatment, increasing the cost and energy consumption of the sewage treatment process

[0003] At present, the expert system supported by traditional fault diagnosis technology is mainly used in the sewage treatment process in our country. This system has problems such as inflexible reasoning strategy, manual intervention, lack of self-learning ability, poor real-time online diagnosis performance and low degree of automation. , in today's sewage treatment process, multi-dimensional data is difficult to carry out effective troubleshooting only by manual processing, which reduces the detection efficiency and increases labor costs in process detection

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