Analysis of Wastewater System Technology is designed with internet of things(IOT) and cloud computing to instantly diagnose various kinds of water samples.

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.

By observing of the microorganism outlooks and taking photos to build up AI recognition. It 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.

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.