SPECTROPHOTOMETRY OVERVIEW Spectrophotometry is a well-established analytical method, which has been used for decades in chemistry, physics, biochemistry, and chemical engineering...
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PARAMETERS TO MEASURE FOR PRODUCT LOSS
BOD, COD, TOC, TSS, Industry specific compounds
OVERVIEW
Several industries lose significant quantities of product in their waste streams including dairies, juice concentrate, breweries, as well as pulp and paper. Product lost to drain decreases revenue potential while contributing to excess wastewater loading and higher treatment costs. For many production facilities, it can be difficult to pinpoint when and where loss occurs because real-time information is limited. Most of these losses are not large spills and therefore may take time for the operators to detect them. In fact, frequent small losses can account for more than 50% of total losses. This makes real-time monitoring for product loss the only viable way to recapture this lost revenue and results in many benefits, including;
- Early event detection and proactive response
- Increased revenue from product recovery and reduced wastewater treatment costs
- Process optimization and improved plant efficiency
DELAYED LAB RESULTS LIMIT ACTION
Manufacturing plants often rely on daily grab samples as their primary means for understanding product loss. Relying on a laboratory to obtain results leads to a significant time lag and the information offered is usually of little value to identify loss and improve plant performance. Plants need a solution that delivers continuous product loss and water quality information to operations personnel.
REAL-TIME PRODUCT LOSS MONITORING
Understanding this industry challenge, Real Tech provides monitoring systems that are able to fingerprint compounds specific to the industry. This allows for real-time detection of product loss events that would otherwise go unnoticed. In addition to industry specific compound detection, Real Tech’s systems can provide information about aggregate organic parameters (BOD, COD, or TOC), TSS, conductivity and many other parameters, which are essential for process control and optimization. By combining machine learning data analysis techniques and data rich wastewater sensors, Real Tech provides actionable information that is accurate and reliable.
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