By observing of the microorganism outlooks and taking photos to build up AI recognition. Wastewater Treatment Diagnose System Technology can have a quick judgement of the effectiveness of the removal of the organic matters and the sludge settleability by checking the distribution of the types of the microorganism and the composition of the floc.

It is using microscope to observe the survival situation of the indicator microorganism of the wastewater treatment. 

Along with the equipment process parameters and the laboratory water control detection values of COD, BOD, and SS, to have mutual corroboration and accumulate operation experience.

In addition, it can help understand if pre-processing(bar screen, grit, chemical coagulation precipitation, or floatation) is complete by the amount of impurities such as fiber, color lump, grease, etc.

It also adjusts the SVI(Sludge Volume Index) and F/M(Food-to-Microorganism Ratio) errors because of incorrect operation parameters MLSS to be able to diagnose the wastewater treatment function quickly and accurately. It can not only be the tool to quickly evaluate the operation parameter but also the basis to improve it.