Solar water heater temperature monitoring method based on big data

The invention relates to the technical field of data processing, in particular to a solar water heater temperature monitoring method based on big data, comprising: acquiring a rising data set and a stable data set; obtaining a periodic average environment temperature according to the environment temperature data sequence; obtaining a normal rising range value according to the periodic average environment temperature; obtaining heat preservation efficiency according to the temperature data sequence; obtaining a stable normal range value according to the heat preservation efficiency; obtaining a combined temperature data sequence according to the rising normal range value and the stable normal range value; obtaining a first abnormity early warning result according to the redundant data; obtaining abnormal monitoring data according to the redundant data; obtaining a second abnormity early warning result according to the abnormity monitoring data; and according to the second abnormity early warning result, final