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FlowSense Revolutionizing Pipe Flow Measurement with Electromagnetic Sensing

HOME/FlowSense Revolutionizing Pipe Flow Measurement with Electromagnetic Sensing

CHALLENGES :

  • The project was to design a system for flow measurement without any direct insertion in the flow path.
  • The challenge is to measure a signal which has a very low amplitude and consists of various noises.
  • It would be synonymous to say that signal is buried in noise that has similar frequencies. It consists of different noises like Differential interference, Inphase interference, Common mode interference, Series mode interference (slurry), power noises, etc
  • Acclivis has evaluated and understood different theoretical solutions based on electromagnetic flow measurement methodology. Developed proof of concept, and prototype to test in the Lab and on the field at a small scale.

CLIENT BENEFITS :

  • The system amplifies and identifies the precisely very low signal of interest from the highly noisy environment.
  • Provides clear differentiation and analysis for signal and noise with measurable markers.
  • The identified solution is reliable, reproducible, and scalable.
  • The system can be interfaced further with SCADA or an automation system.

ABOUT PROJECT :

  • A client is a global leader in the manufacturing of industrial automation equipment. The client wanted to launch an innovative solution for a non-intrusive way of flow measurement using the electromagnetic flow measurement method.
  • The team consisted of Subject Matter Experts from IIT, a Signal Processing Expert (Ph.D.), an Embedded Engineer, and a Field Application Engineer who contributed to architecting and testing solutions.

OBJECTIVES :

  • Practical implementation of the theoretical concept of a non-intrusive way of measurement of flow through pipes using electromagnetic flow sensing methodology.

SOLUTION :

  • The project was divided into two phases.
  • Phase 1: It includes the concept prototyping with Analog and digital methods.
  • Initially, the differential signal is captured and amplified. Further, it fed to analogue and digital signal processing pipelines for analysis and filtering.
  • MATLAB was used in a digital path to analyze the frequency waveform from the captured signal. The signal is further processed using lock-in amplification and filters to remove noise.
  • In the analogue path, LNA was used with the internal filtration and observed the waveform on the DSO.
  • Phase 2: The digital pipeline was replaced using a microcontroller base system. This noise-free signal information was sent to the cloud to observe the liquid flow in a system remotely

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