Intelligent coagulation algorithm based on edge-cloud collaboration and double increments
An incremental and intelligent technology, applied in neural learning methods, chemical instruments and methods, flocculation/sedimentation water/sewage treatment, etc., can solve problems that cannot be realized at the edge, achieve reduction of residual aluminum content, reasonable computing resources, cost reduction effect
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[0052] The present invention will be described in further detail below in conjunction with the accompanying drawings.
[0053] refer to figure 1 , considering that the model needs to use increasing sensor data for training, and the computing power of edge devices is limited, an intelligent coagulation algorithm based on edge-cloud collaboration and double increment is proposed. The algorithm mainly includes the following three points:
[0054] ①Through pac prediction and pac tuning, determine the optimal pac addition amount.
[0055] ②A double-incremental learning method based on Mondrian Forest is proposed to update the model online and improve the accuracy to a certain extent.
[0056] ③Adopt edge-cloud collaborative architecture to reduce delay.
[0057] Specifically, it includes the following five steps:
[0058] 1) Various sensor devices on the terminal collect raw water temperature, pH, turbidity and other information, and send it to the terminal;
[0059] 2) The ed...
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