The present application relates to the technical field of
edge computing, in particular to a
groundwater pollution monitoring method and
system based on
edge computing, comprising the following steps: acquiring
groundwater sequence data and calculating unit time fluctuation intensity parameters, comparing threshold interval to generate sampling frequency, collecting physicochemical indexes to generate deviation
value set, extracting emergency weight parameters, combining
edge node residual computing
power cycle to generate task scheduling strategy, collecting environmental indexes to write into deviation cumulative matrix and accumulate row by row, comparing with the set
risk threshold to generate
pollution risk grade. In the present application, by adaptively matching the sampling frequency according to the fluctuation intensity state, the
fixed interval blind area is effectively discarded and the
mutation signal is captured, the scheduling strategy is constructed by combining the multi-dimensional deviation characteristics and the node computing power to generate the scheduling strategy, the dynamic allocation and computing
power balance of the task are completed on the edge side, the link congestion caused by redundant baseline transparent transmission is avoided, the
pollution trend is tracked based on the cumulative matrix, and the prepositioned research and judgment are realized.