Improved hierarchical clustering method for sewage abnormity detection

A technology of hierarchical clustering and anomaly detection, applied in the fields of instruments, character and pattern recognition, computer parts, etc., can solve the problems of lack of self-learning ability, high energy consumption, low level of automation, etc., and solve the problem of unstable clustering effect. , Solve the effect of high complexity and avoid high complexity

Inactive Publication Date: 2019-06-07
CENT SOUTH UNIV
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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 en

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  • Improved hierarchical clustering method for sewage abnormity detection
  • Improved hierarchical clustering method for sewage abnormity detection
  • Improved hierarchical clustering method for sewage abnormity detection

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[0025] The present invention provides an improved hierarchical clustering method for sewage abnormality detection. The invention can effectively reduce the abnormalities in the sewage automatic treatment process at different time periods for efficient and rapid detection, thereby eliminating abnormalities in sewage treatment in time , Improve the utilization rate of the system, and can reduce the energy consumption and loss of the system, and at the same time make the sewage treatment process move towards automation and intelligence.

[0026] S1: Collect and process data sets of various parameters in sewage in the sewage treatment process system, and divide the collected data into four different time periods according to the "influent COD value" curve. 0:00-8:00, 8:00-14:00, 14:00-20:00, 20:00-24:00, and standardize related data,

[0027] Take a data set Where N is the number of data points in the data set, and n is the dimension of the data points. Standardize the data set X to o...

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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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Application Information

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IPC IPC(8): G06K9/62
Inventor 张宇汤哲
Owner CENT SOUTH UNIV
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