SYSTEM AND METHOD FOR DETERMINING MATERIAL YIELD AND/OR LOSS FROM A HARVESTING MACHINE USING ACOUSTIC SENSORS

• US 20140135082A1
• Filed: 11/15/2012
• Published: 05/15/2014
• Est. Priority Date: 11/15/2011
• Status: Active Grant

• Current Assignee: Appareo Systems LLC (AGCO Corporation), Intelligent Agricultural Solutions LLC
• Original Assignee: Appareo Systems LLC (AGCO Corporation)
• Inventors: Batcheller, Barry D., Gelinske, Joshua N., Nystuen, Peder A.
• Granted Patent: US 9,474,208 B2
• Time in Patent Office: Days
• US Class Current: 460/5
• CPC Class Codes: A01D 41/1273 for measuring grain loss
• CPC Class Codes: A01D 41/1275 for the level of grain in grain tanks

Abstract

A system and method for determining material yield and/or loss from a harvesting machine using acoustic sensors and advanced signal processing capabilities is presented. The system consists of a sensor housing with an opening on one side of the sensor housing, a strike plate designed to fit into the opening, and an electronics module comprising a microphone and a signal processor designed to capture the sound waves created when material impacts on the strike plate, and convert them into an audio signal indicating the amount of material impacting the sensor at a given time.

Claims

1. A system for acoustically detecting and quantifying bulk material, which system comprises:

an impact sensor including a sensor case enclosing a sensor interior;

said sensor case mounting a strike plate adapted for striking by the bulk material;

said strike plate communicating acoustically with said sensor interior;

an acoustic device communicating acoustically with said sensor interior and adapted for providing an output signal in response to bulk material striking said strike plate; and

a processor connected to said acoustic device and adapted for receiving and processing said acoustic device output signals.

2. The system according to claim 1, which includes:

said acoustic device comprising a transducer adapted for converting acoustic energy to an electrical signal.

3. The system according to claim 2, which includes:

said transducer comprising a micro-electro-mechanical system (MEMS) microphone.

4. The system according to claim 3, which includes:

a bandpass filter connected to said microphone and adapted for filtering bulk material impact for conversion to electrical output signals from said sensor.

5. The system according to claim 4, which includes:

an acoustic energy measurement device connected to said bandpass filter, an acoustic event detection device connected to said energy measurement device and a multiple impact detection device adapted for processing strikes by multiple bulk material pieces.

6. The system according to claim 5 wherein said processor includes:

a time domain function adapted for identifying an acoustic energy signal source;

a frequency domain function adapted for identifying an acoustic energy signal source; and

a neural network connected to said processor and adapted for providing output corresponding to the presence or absence of a bulk material impact.

7. The system according to claim 1, which includes:

a communication module connected to said processor.

8. The system according to claim 1, which includes:

an electronics module including the microphone, the processor and an audio processor connected to the microphone in the general-purpose processor.

9. The system according to claim 8, which includes:

an input/output (I/O) processing module connected to said processor.

10. The system according to claim 1, which includes:

said sensor case having an elongated, channel-shaped body with a top opening and opposite ends;

said sensor case having a pair of end caps each attached to a respective sensor case end;

each said end cap enclosing a respective end cap space forming a part of said sensor interior; and

said strike plate being mounted on said sensor case in covering relation over said top opening.

11. The system according to claim 10, which includes:

said strike plate having a generally rectangular configuration with opposite side edges;

said sensor case forming a pair of slots each located along a respective side of said top opening; and

said sensor case slots receiving said strike plate side edges with said strike panel mounted in covering relation over said sensor case interior.

12. A system for acoustically detecting and quantifying grain flow in a grain-harvesting combine with a grain intake, a grain discharge and a grain flow path from the intake to the discharge, which system includes:

an impact sensor mounted on the combine generally in the grain flow path;

said impact sensor including a sensor case enclosing a sensor interior;

said sensor case mounting a strike plate adapted for striking by the grain in the grain flow path;

said strike plate communicating acoustically with said sensor interior;

an acoustic device communicating acoustically with said sensor interior and adapted for providing an output signal in response to bulk material striking said strike plate; and

a processor connected to said acoustic device and adapted for receiving and processing said acoustic device output signals.

13. The system according to claim 12, which includes:

said acoustic device comprising a transducer adapted for converting acoustic energy to an electrical signal.

14. The system according to claim 13, which includes:

said transducer comprising a micro-electro-mechanical system (MEMS) microphone.

15. The system according to claim 14, which includes:

a bandpass filter connected to said microphone and adapted for filtering bulk material impact for conversion to electrical output signals from said sensor.

16. The system according to claim 15, which includes:

an acoustic energy measurement device connected to said bandpass filter, an acoustic event detection device connected to said energy measurement device and a multiple impact detection device adapted for processing strikes by multiple bulk material pieces.

17. The system according to claim 12, wherein said processor includes:

a time domain function adapted for identifying an acoustic energy signal source;

a frequency domain function adapted for identifying an acoustic energy signal source; and

a neural network connected to said processor being adapted for providing output corresponding to the presence or absence of a bulk material impact.

18. The system according to claim 12, which includes:

a communication module connected to said processor.

19. The system according to claim 12, which includes:

an electronics module including the microphone, the processor and an audio processor connected to the microphone in the general-purpose processor.

20. The system according to claim 12, which includes:

an input/output (I/O) processing module connected to said processor.

21. A method of detecting and quantifying bulk material in bulk material handling equipment with a material intake, a material discharge and a material flow path between said intake and discharge, which method comprises the steps of:

providing an impact sensor with a sensor case enclosing a sensor interior;

providing said impact sensor with a strike plate mounted on said sensor case;

providing said impact sensor with an acoustic device;

mounting said acoustic device in acoustic communication with said sensor interior;

impacting said strike plate with bulk material and producing acoustic energy in said sensor interior;

providing an output signal from said acoustic device corresponding to acoustic energy in said sensor interior;

providing a digital processor connected to said acoustic device;

processing said output signal and identifying bulk material impacts on said strike plate; and

providing output corresponding to a characteristic of said material flow through said equipment.

22. The method according to claim 21, which includes the additional step of:

converting said acoustic energy to electric energy.

23. The method according to claim 22, which includes the additional steps of:

providing a microphone connected to said sensor case for said acoustic device.

24. The method according to claim 23 wherein said acoustic device comprises a micro-electro-mechanical system (MEMS) microphone.

25. The method according to claim 21, which includes the additional steps of:

providing a bandpass filter connected to said acoustic device; and

filtering the output from said acoustic device with said bandpass filter.

26. The method according to claim 21, which includes the additional steps of:

providing a multiple impact detection device connected to said acoustic device; and

detecting with said multiple impact detection device multiple bulk material.

27. The method according to claim 21, which includes additional steps of:

programming said processor with a time domain function; and

identifying an acoustic energy signal source with said time domain function.

28. The method according to claim 21, which includes the additional steps of:

programming said processor with a frequency domain function; and

identifying an acoustic energy signal source with said frequency domain function.

29. The method according to claim 21, which includes additional steps of:

providing a communication module; and

connecting said communication module to said processor.

30. The method according to claim 21, which includes additional steps of:

providing an electronics module including the microphone, the processor and an audio processor connected to the microphone in the processor.

31. The method according to claim 21, which includes the additional steps of:

providing an input/output (I/O) processing module; and

connecting said I/O processing module to said processor.

32. The method according to claim 21, which includes the additional step of soundproofing said sensor case.

33. The method according to claim 21, which includes the additional step of:

directing sound waves within said sensor case carrier to said acoustic device.

34. The method according to claim 21, which includes the additional step of:

tuning said sensor case to a frequency range corresponding to the impact of said bulk material on said strike plate.