The invention discloses a multi-
source data fusion metering method and
system for skid-mounted three-phase separation equipment, and particularly relates to the technical field of
data analysis, and the method is realized through the following steps: 1, based on a preset
data source type, employing a corresponding sensor to collect equipment operation data, and forming a collection
data set; 2, dividing each
data source data set into sub-data sets according to a
fixed time length; 3, performing
feature extraction on the sub-data sets, analyzing quality change and fluctuation conditions, and generating
feature data; 4, importing the
feature data into a
convolutional neural network model for classification, and judging whether the sub-
data set is high-
quality data or not; step 5, according to a
classification result, determining whether to send out an early warning
signal to guarantee the accuracy of data fusion; according to the method, division and
feature extraction are carried out on the multiple data sources collected by the equipment, high-quality and low-
quality data can be effectively recognized and classified, credible data sources can be screened out, and the accuracy of multi-
source data fusion is improved.