Optimizing processor operation in a processing system including one or more digital filters

• US 9,979,380 B2
• Filed: 07/30/2008
• Issued: 05/22/2018
• Est. Priority Date: 07/30/2008
• Status: Active Grant

• Current Assignee: Micro Motion Incorporated (Emerson Electric Company)
• Original Assignee: Micro Motion Incorporated (Emerson Electric Company)
• Inventors: McAnally, Craig B, Hays, Paul J
• Primary Examiner(s): Ngo, Chuong D
• Application Number:
  US13/003,349
• Publication Number:
  US 20110138205A1
• Time in Patent Office: 3,583 Days
• Field of Search: 708300-323
• CPC Class Codes: G01F 1/8436 signal processing
• CPC Class Codes: H03H 17/0227 Measures concerning the coefficients
• CPC Class Codes: H03H 2017/0245 Measures to reduce power consumption H03H17/0223 takes precedence
• CPC Class Codes: H03H 2017/0298 DSP implementation
• CPC Class Codes: H03H 2220/08 Variable filter length

Abstract

A method for optimizing processor operation in a processing system including one or more digital filters is provided according to the invention. The method includes generating initial filter coefficients for the one or more digital filters of the processing system, determining one or more initial filter coefficients for at least one digital filter of the one or more digital filters that can be dropped and dropping the one or more initial filter coefficients. Dropping the one or more initial filter coefficients reduces a total number of filter coefficients to be used by the processing system.

Claims

1. A method for optimizing processor operation in a sensor-based vibratory flowmeter assembly processing system including one or more digital filters, the method comprising:

generating initial filter coefficients for the one or more digital filters;

determining one or more initial filter coefficients for at least one digital filter of the one or more digital filters that can be dropped based on filter performance and processing time, wherein a count of the initial filter coefficients comprises a total number of filter coefficients;

dropping the one or more initial filter coefficients, wherein dropping the one or more initial filter coefficients reduces the total number of filter coefficients to be used by the processing system;

programming remaining filter coefficients into the processing system before the processor operation; and

comparing one or more processing system measurements to a power usage threshold comprising a vibrational response signal parameter threshold.

2. The method of claim 1, with the dropping further comprising dropping the one or more initial filter coefficients for at least one of a temporary time period and an indefinite time period.

3. The method of claim 1, wherein a digital filter of the one or more digital filters includes non-symmetric filter coefficients.

4. The method of claim 1, wherein a digital filter of the one or more digital filters includes symmetric filter coefficients.

5. The method of claim 1, wherein a digital filter of the one or more digital filters includes symmetric filter coefficients and wherein symmetric filter coefficients are dropped singly or in pairs.

6. The method of claim 1, further comprising:

if the one or more processing system measurements exceeds the predetermined power usage threshold, then determining one or more operational filter coefficients for at least one digital filter of the one or more digital filters that can be dropped; and

dropping the one or more operational filter coefficients, wherein dropping the one or more operational filter coefficients reduces the total number of operational filter coefficients to be used by the processing system during at least a current main loop processing iteration;

wherein the power usage threshold comprises at least one of a predetermined time difference threshold, frequency threshold and phase difference threshold and the one or more processing system measurements comprises at least one of time difference, frequency, and phase difference measurements.

7. A method for adaptively optimizing processor operation in a sensor-based vibratory flowmeter assembly processing system including one or more digital filters, the method comprising:

comparing one or more processing system measurements to a predetermined power usage threshold during operation, with the one or more processing system measurements comprising measurements generated by the processing system from sensor signals that sense vibrational response signals of the vibratory flow meter;

if the one or more processing system measurements exceeds the predetermined power usage threshold, then determining one or more filter coefficients for at least one digital filter of the one or more digital filters that can be dropped; and

dropping the one or more filter coefficients, wherein dropping the one or more filter coefficients reduces a total number of filter coefficients to be used by the processing system.

8. The method of claim 7, with the dropping further comprising dropping one or more filter coefficients for at least one of a temporary time period and an indefinite time period.

9. The method of claim 7, iteratively performing the comparing, determining, and processing steps.

10. The method of claim 7, wherein a digital filter of the one or more digital filters includes non-symmetric filter coefficients.

11. The method of claim 7, wherein a digital filter of the one or more digital filters includes symmetric filter coefficients.

12. The method of claim 7, wherein a digital filter of the one or more digital filters includes symmetric filter coefficients and wherein symmetric filter coefficients are dropped singly or in pairs.

13. The method of claim 7, further comprising determining a number of operational filter coefficients to be dropped based on an amount by which the one or more processing system measurements exceeds the predetermined power usage threshold.

14. The method of claim 7, further comprising the preliminary steps of:

generating initial filter coefficients for the one or more digital filters;

determining one or more initial filter coefficients for at least one digital filter of the one or more digital filters that can be dropped;

dropping the one or more initial filter coefficients, wherein dropping the one or more initial filter coefficients reduces the total number of filter coefficients to be used by the processing system; and

programming remaining initial filter coefficients into the processing system.

15. A method for optimizing processor operation in a sensor-based vibratory flowmeter assembly processing system including one or more digital filters, the method comprising:

generating filter coefficients for the one or more digital filters;

determining one or more initial filter coefficients and one or more operational filter coefficients for one or more digital filters of the one or more digital filters that can be dropped based on filter performance and processing time;

dropping the one or more initial filter coefficients, wherein dropping the one or more initial filter coefficients reduces a total number of filter coefficients to be used by the processing system;

programming remaining initial filter coefficients into the processing system before the processor operation;

comparing one or more processing system measurements comprising at least one of a phase difference, a frequency, a time difference, a density, a mass flow rate, a viscosity and a volume flow rate to a predetermined power usage threshold comprising at least one of a predetermined time difference threshold, a frequency threshold, and a phase difference threshold during operation, with the one or more processing system measurements comprising measurements generated by the processing system from vibrational response signals of the vibratory flow meter; and

if the one or more processing system measurements exceeds the predetermined power usage threshold, then dropping the one or more operational filter coefficients, wherein dropping the one or more filter coefficients further reduces the total number of filter coefficients to be used by the processing system.

16. The method of claim 15, with the dropping further comprising dropping the one or more initial filter coefficients for at least one of a temporary time period and an indefinite time period.

17. The method of claim 15, wherein a digital filter of the one or more digital filters includes non-symmetric filter coefficients.

18. The method of claim 15, wherein a digital filter of the one or more digital filters includes symmetric filter coefficients.

19. The method of claim 15, wherein a digital filter of the one or more digital filters includes symmetric filter coefficients and wherein symmetric filter coefficients are dropped singly or in pairs.

20. The method of claim 15, iteratively performing the comparing and dropping steps for the one or more operational filter coefficients.

21. The method of claim 15, further comprising determining a number of operational filter coefficients to be dropped based on an amount by which the one or more processing system measurements exceeds the predetermined power usage threshold.