For industries involving water quality analysis, Online Wastewater Monitoring Equipment shall be installed for wastewater discharge and treatment processes to guarantee wastewater treatment performance. The specific equipment to be deployed shall be determined based on application scenario requirements. Conventional online water quality analyzers include TOC, COD, pH, ammonia nitrogen, total phosphorus and total nitrogen, which are widely applied in relevant water quality analysis related sectors.
The online water quality monitoring system targets the operational requirements of online analyzers and laboratory based research. Centered on delivering representative, timely and reliable sample related data, the system adopts automatic control technologies. Covering sampling, pre treatment, analysis and data processing, the whole system realizes automatic online water quality monitoring. It consists of interconnected subsystems: sampling subsystem, pre treatment subsystem, online monitoring devices and data processing subsystem, which jointly complete full process automatic online monitoring.
This document focuses on online monitoring devices. As mentioned above, different application scenarios require different sets of online monitoring equipment. The following briefly introduces water quality online monitoring devices for hospital wastewater treatment processes. Apart from the aforesaid conventional indicators, two key parameters shall be monitored for hospital wastewater: coliform bacteria and total residual chlorine.
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Rationale for TotalResidualChlorine Monitoring
Chlorine based disinfection is commonly adopted in hospitals. The total residual chlorine online analyzer is deployed to regulate disinfectant dosing volume and prevent excessive chlorine levels that may cause adverse impacts.
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Rationale for ColiformBacteria Monitoring
Medical wastewater contains large quantities of pathogens including coliform bacteria, which pose health risks to humans. After proper treatment, the WECT 900 Coliform Bacteria Online Analyzer is applied for data analysis to check whether bacterial counts exceed permissible limits and trigger potential health hazards.
