Research and Application of Clustering and Difference Algorithms for Water Pump Status and Drainage Capacity
The abnormal flow rate of water pumps in underground mines can affect the normal opera-tion of drainage systems.To timely detect abnormal conditions of water pumps,a method for identifying ab-normal flow rate of water pumps and a method for calculating drainage capacity are proposed.Clustering,dif-ferential and other methods are used to identify the stepped flow state and calculate drainage capacity.Differ-ential and segmented slopes are used to identify a continuous and stable decline in traffic.Use Standard devi-ation isused to distinguish large fluctuations in flow rate.On site personnel can adjust the drainage system in a timely manner based on the information provided by this method to ensure the normal operation of the un-derground drainage system in the mine.This method has been validated using data from a underground pump room in a certain mine and achieved the expected results.In addition,by calculating the drainage capacity,the condition of the water pump can be intuitively evaluated,which can provide a basis for subsequent main-tenance or replacement,and is of great significance for improving the maintainability of the water pump.
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