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As a society, we’ve been known to take some things for granted, such as our access to clean water. Industrial companies have found that over 80% of industrial waste has landed in our once pristine waters. Below are some of the challenges that industrial companies face regarding water quality.

Treating Water Extensively

While water is the most abundant substance on Earth, it can be tough to get clean. Water treatment processes can remove impurities or contaminants, but they require significant energy and workforce resources. Cleaning wastewater requires even more power. There is great pressure to find less expensive and more efficient ways to treat water.

Assessing All Contaminants

Most industrial processes release contaminants into the environment. The use of ultraviolet light to detect harmful compounds in water is an effective way of assessing the chemicals in the water. You can see that the water will change color when specific contaminants are detected if you take a water sample and expose it to ultraviolet light.

Reducing Waste

If water is being purified or cleaned, there are usually high quantities of by-products that occur during the process that require disposal. The industry processes wastewater and disposes of it as waste. As the process uses chemicals, these enter the environment and eventually reach the water supply. When wastewater is treated, the wastewater treatment processes can produce a large amount of waste that needs to be properly disposed of.

Remote Monitoring 

In the face of COVID-19, industrial plants are finding the need to be able to monitor water quality digitally. Instrumentation without manual intervention is absolutely vital as we forge through these challenging times. Being able to check the water levels autonomously benefits in these ways:

  • Eliminates the extensive time and expense of manual testing.
  • Allows you to check water levels more frequently.
  • Allows improvement of the reliability and consistency of the measurements

Remote monitoring allows water operators to be able to spend more time doing what they do best and not have to worry about the time it takes to get test results or analyze the data.