Material flow monitoring system and method
A dry-particulate monitoring system for a machine that distributes dry-particulate to the ground by metering product into a flowing airstream. The airstream is diverted into several tubes mounted on booms covering some horizontal distance. At the end of each tube is a deflector designed to direct the flow of material to a desired location with a particular coverage. An acoustic-based sensor of the preferred embodiment is placed on each deflector to detect material flowing through each tube or pipe or against the deflector. The information that is gathered from the sensors is sent to the dry-particulate spreader operator, who is able to view the real time operation of the dry-particulate flow. The system may be capable of detecting presence or absence of flow (i.e., blockage), or may detect variance of flow in individual pipes over time, or variances of flow between different pipes.
1. A material flow monitoring system for a dry-particulate spreader, the system comprising:
a dry-particulate spreader;
said dry-particulate spreader comprising bins for storing dry-particulate, a right boom, and a left boom;
each of said right and left booms further comprising a plurality of boom tubes, each of said plurality of boom tubes configured to deploy said dry-particulate to a field surface;
a plurality of deflector plates, one of each of which are placed in proximity to a respective end of said boom tubes;
a plurality of acoustic sensors, one of each of which are affixed to a respective end of said deflector plates;
a central gateway connected to a plurality of Electronic Control Units (“ECUs”), each of said ECUs comprising at least one microphone to convert vibration into pressure waves, and each of said ECUs communicatively connected to at least one of said plurality of acoustic sensors for sensing audio data;
whereby said acoustic sensors are configured to monitor flow of said dry-particulate through said boom tubes based upon acoustic signals generated by said dry-particulate striking said deflector plates; and
whereby said ECUs report data from said plurality of acoustic sensors to a mobile computing device or devices comprising a processor, data storage, and graphical user interface (GUI) to determine flow irregularity.
2. The system of claim 1 , further comprising:
each of said plurality of acoustic sensors comprising a sensor plate mounted over a hollow acoustic chamber;
each of said plurality of acoustic sensors affixed to its respective deflector plate using an adhesive; and
a gasket located between said sensor plate and said acoustic chamber, said gasket configured to prevent material from entering said acoustic chamber; and
an auditory tube connected from each of said acoustic sensors to a respective ECU.
3. The system of claim 1 , wherein said at least one microphone comprises a microelectromechanical system (“MEMS”) microphone.
4. The system of claim 1 , further comprising;
said mobile computing device processor configured to determine a reduced flow within at least one of said boom tubes; and
said mobile computing device GUI configured to report said reduced flow.
5. The system of claim 1 , further comprising;
said mobile computing device processor configured to determine a lack of flow within at least one of said boom tubes; and
said mobile computing device GUI configured to report said lack of flow.
6. The system of claim 1 , further comprising:
a global navigation satellite system (GNSS) receiver configured to determine a position and a velocity of a floater;
said GNSS receiver configured to report said position and velocity to said mobile computing device; and
said mobile computing device configured to determine application of said dry-particulate about said field based upon said data from said plurality of said acoustic sensors and from said GNSS receiver determined position and velocity.
7. The system of claim 1 , further comprising:
a plurality of strain gauges, each one of said plurality of strain gauges adhered to at least one of said plurality of deflector plates;
each of said strain gauges configured to determine said flow of dry-particulate based upon deflection of said deflector plates;
each of said strain gauges communicatively connected to a respective one ECU, thereby sending data related to said flow of dry-particulate based upon said deflection of said deflector plates to said respective one ECU; and
whereby said ECUs report data from said plurality of strain gauges to said mobile computing device.
8. The system of claim 7 , further comprising:
each of said plurality of strain gauges comprising a protection and filtering element;
each of said plurality of strain gauges further comprising a difference amplifier; and
an analog-to-digital converter configured to convert data from each of said plurality of strain gauges for interpolation and reporting by a microcontroller, said microcontroller configured report data converted by said analog-to-digital converter to said mobile computing device.
9. The system of claim 7 , further comprising a Wheatstone bridge circuit configured to measure strain detected by each respective one of said plurality of strain gauges.
10. The system of claim 7 , further comprising;
determining with said mobile computing device processor a lack of flow within at least one of said boom tubes; and
reporting with said mobile computing device GUI said lack of flow.
11. The system of claim 7 , further comprising:
a global navigation satellite system (GNSS) receiver configured to determine a position and a velocity of said dry-particulate spreader;
said GNSS receiver configured to report said position and velocity to said mobile computing device; and
said mobile computing device configured to determine application of said dry-particulate about said field based upon said data from said plurality of said acoustic sensors, strain sensors, and from said GNSS receiver determined position and velocity.
12. The system of claim 1 , further comprising;
determining with said mobile computing device processor a reduced flow within at least one of said boom tubes; and
reporting with said mobile computing device GUI said reduced flow.
13. A method of monitoring flow of dry-particulate from a dry-particulate spreader, the method comprising the steps:
connecting a dry-particulate spreader to a floater machine, said dry-particulate spreader comprising bins for storing dry-particulate, a right boom, and a left boom;
spreading said dry-particulate about a field via a plurality of boom tubes connected to each of said right and left booms, whereby said dry-particulate exits said boom tubes and contacts a plurality of deflector plates in proximity with and affixed to each respective one of said plurality of boom tubes;
detecting with plurality of acoustic sensors audio data of said dry-particulate contacting each of said respective deflector plates;
sending said audio data from said acoustic sensors to a plurality of ECUs, each of said ECUs comprising at least one microphone;
reporting said audio data from said plurality of ECUs to a mobile computing device comprising a processor, data storage, and graphical user interface; and
determining flow irregularities with said mobile computing device processor based upon said audio data.
14. The method of claim 13 , wherein:
each of said plurality of acoustic sensors comprising a sensor plate mounted over a hollow acoustic chamber;
each of said plurality of acoustic sensors affixed to its respective deflector plate using an adhesive; and
a gasket located between said sensor plate and said acoustic chamber, said gasket configured to prevent material from entering said acoustic chamber; and
an auditory tube connected from each of said acoustic sensors to a respective ECU.
15. The method of claim 13 , wherein said at least one microphone comprises a microelectromechanical system (“MEMS”) microphone.
16. The method of claim 13 , further comprising the steps;
determining with said mobile computing device processor a reduced flow within at least one of said boom tubes; and
reporting with said mobile computing device GUI said reduced flow.
17. The method of claim 13 , further comprising the steps;
determining with said mobile computing device processor a lack of flow within at least one of said boom tubes; and
reporting with said mobile computing device GUI said lack of flow.
18. The method of claim 13 , further comprising the steps:
determine a position and a velocity of said dry-particulate spreader with a global navigation satellite system (GNSS) receiver;
reporting said position and velocity to said mobile computing device; and
determining with said mobile computing device processor an application of said dry-articulate about said field based upon said data from said plurality of said acoustic sensors and from said GNSS receiver determined position and velocity.
19. The method of claim 13 , further comprising the steps:
determining with a plurality of strain sensors said flow of dry-particulate based upon deflection of said deflector plates;
reporting with each of said plurality of strain sensors to a respective one ECU deflection data related to said flow of dry-particulate based upon said deflection of said deflector plates to said respective one ECU;
reporting said deflection data from said plurality of ECUs to a mobile computing device comprising a processor, data storage, and graphical user interface; and
determining flow irregularities with said mobile computing device processor based upon said deflection data.
20. The method of claim 19 , further comprising the steps:
determine a position and a velocity of said dry-particulate spreader with a global navigation satellite system (GNSS) receiver;
reporting said position and velocity to said mobile computing device; and
determining with said mobile computing device processor an application of said dry-particulate about said field based upon said data from said plurality of said acoustic sensors, said strain sensors, and from said GNSS receiver determined position and velocity.