Measure each layer in a Flotation Equipment supplier

More from tank mixing

  • Combined with first principle Flotation Equipment models
    0 comments, 0 likes
  • Design challenges imposed by large Flotation Equipment
    0 comments, 0 likes
  • Be used for optimising Flotation Machine reagent additions
    0 comments, 1 like

More in Politics

  • Stainless Steel Sink Manufacturers Teaches You How To Coordinate Your Kitchen Backsplash
    0 comments, 1,664 views
  • Impotence - Advice on Impotence and the Treatments Available
    0 comments, 903 views
  •  7 Tips to Prepare your Skin for the Harsh Winter Season
    0 comments, 892 views

Related Blogs

  • LED Street Lights Manufacturers Teach You How to Measure The Quality of Power Supplies
    0 comments, 0 likes
  • Madden 20 Online Franchise Update: Latest Information on Disabled Mode
    0 comments, 0 likes
  • Are You Making Effective Use Of Cole And Son Wallpaper?
    0 comments, 0 likes


Social Share

Measure each layer in a Flotation Equipment supplier

Posted By tank mixing     May 28, 2018    


To effectively measure each layer in a Flotation Equipment supplier the correct non-contact transducer must be used. Each has a different purpose but the technology is the same. Pulp level measurement requires a low frequency sound wave (5 kHz) to penetrate the froth layer without the sound wave being attenuated. Froth level measurement uses a higher frequency (20 kHz) to reflect the sound wave off the top of the bubbles. Density measurement uses a midrange frequency (15 kHz).

Transmission of high powered acoustic waves ensures minimal losses through the environment where the sensor is located. Due to the high powered emitted pulse, any losses have far less effect than would be experienced by traditional ultrasonic devices. More energy is transmitted hence more energy is returned. Advanced receiver circuitry is designed to identify and monitor low level return signals even when noise levels are high. The measured signal is temperature compensated to provide maximum accuracy to the outputs and display.

For meeting the forecasting target of key technology indicators in the flotation process, a BP neural network soft-sensor model based on features extraction of flotation froth images and optimized by shuffled cuckoo search algorithm is proposed. Based on the digital image processing technique, the color features in HSI color space, the visual features based on the gray level cooccurrence matrix, and the shape characteristics based on the geometric theory of flotation froth images are extracted, respectively, as the input variables of the proposed soft-sensor model.

We must provide the reasonable process, choose the correct equipment configuration, not only the best quality and provide you with the most intimate housekeeping service, this is what we can do, also we should do. To get more information, visit this website: