The process industry extensively relies on point sensors to monitor critical assets and processes. However, point sensors cannot provide complete coverage of large assets, leading to delays in detecting a leak, needless replacement of infrastructure and a large amount of manual surveys.
This is especially true for difficult-to-reach infrastructure such as underground pipelines, reactors, ovens or tanks. Moreover, traditional point sensors are often cumbersome to install, are prone to wear and lack robustness.
Large industrial ovens are an example of difficult-to-reach infrastructure, where standard inspection techniques such as thermal cameras are difficult to apply.
Using Distributed Temperature Sensing (DTS), Fluves can quickly detect degradation in the thermal insulation and identify which parts of the oven need to be repaired.
Leaks or intrusions in underground pipelines were extremely hard to detect in the past. That is why Fluves has developed a method that combines expertise in flow physics and the newest Distributed Sensing technologies to detect and locate even the most elusive leaks with ease.
Fluves algorithms recognize and classify the distinct sound signatures of leaks and intrusions that are recorded by the fiber. An easy-to-use web interface shows the condition of every meter of pipeline in real time, allowing you to precisely locate leaks and intrusions in your pipeline before they get any worse.
This means you're not only preventing damage from the leakage, but you can also save massively on maintenance and inspection: Instead of having to dig up and replace large stretches of underground pipelines, you only need to focus on the affected section. The estimated ROI of our technology is generally less than 2 years.
Download our brochure on critical equipment: Fluves - Brochure - Critical Equipment
