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
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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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