The invention relates to the technical field of
remote meter reading, in particular to an intelligent monitoring method and
system for an
internet of things ultrasonic water meter, and the method comprises the following steps: obtaining three-period
pressure difference, calculating
absolute difference, accumulating and judging the variation range, if the variation range is exceeded, collecting a flow velocity sequence, calculating standard difference, judging stability, adjusting
high frequency and sampling; according to the state extraction data, calculating a first order difference parity ratio to judge the credibility, if the credibility is low, performing weighted substitution on front and rear values, and judging fluctuation to recover the initial frequency by using a substitution value. According to the method, the state change of the pipeline is recognized through accumulation of periodic
pressure difference values, the data fluctuation recognition capability is enhanced, the sampling frequency is dynamically adjusted by introducing the flow velocity fluctuation degree to improve the response speed, the data credibility is judged through a first-order difference ratio, and the
data stability and continuity are improved through low-credibility periodic weighted correction; and the sampling
recovery state is judged by comparing the previous and later periods, so that the sampling frequency is timely homed, a self-adaptive closed-loop dynamic mechanism is constructed, and the
data accuracy and continuity under the complex working condition are enhanced.