System and method for multi-rate concurrent waveform capture and storage for power quality metering

• US 8,121,801 B2
• Filed: 09/16/2008
• Issued: 02/21/2012
• Est. Priority Date: 01/27/2005
• Status: Active Grant

• Current Assignee: EI Electronics LLC (Hubbell, Inc.)
• Original Assignee: Electro Industries/Gaugetech
• Inventors: Spanier, Joseph, Zhu, Hai, Slota, Frederick B.
• Primary Examiner(s): COSIMANO, EDWARD R
• Application Number:
  US12/211,447
• Publication Number:
  US 20090012728A1
• Time in Patent Office: 1,253 Days
• Field of Search: 73/761.1, 73/761.2, 73/763.8, 731/15, 731/581, 734/321, 738/658, 341/50, 341/87, 341/122, 341/123, 702/1, 702/57, 702/60, 702/61, 702/64, 702/66, 702/67, 702/70, 702/127, 702/189, 702/190, 707/705, 707/722, 707/736, 709/213, 719/312, 324/76.11, 324/76.12, 324/76.38, 324/115
• US Class Current: 702/61
• CPC Class Codes: G01R 19/04 Measuring peak values or amplitude or envelope of ac or of pulses
• CPC Class Codes: G01R 19/2509 Details concerning sampling, digitizing or waveform capturing
• CPC Class Codes: G01R 19/2513 Arrangements for monitoring electric power systems, e.g. power lines or loads; Logging
• CPC Class Codes: G01R 29/02 Measuring characteristics of individual pulses, e.g. deviation from pulse flatness, rise time or duration
• CPC Class Codes: G06F 17/40 Data acquisition and logging for input to computer G06F3/00
• CPC Class Codes: G06F 7/76 Arrangements for rearranging, permuting or selecting data according to predetermined rules, independently of the content of the data
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

Systems and methods are provided for use in an IED that perform high resolution waveform capture to generate multi-rate waveform data in real-time. In one embodiment, high-resolution sampled data is dynamically pre-ordered into separate high resolution and low resolution data streams for presentation and storage. This pre-ordering of data is optimized so as to minimize the amount of data manipulation required to prepare the sampled data for eventual presentation and storage in the IED. Pre-ordering of data facilitates minimum performance impact so that continuous real-time data capture can be achieved.

Claims

1. In an intelligent electronic device, a method of performing high resolution waveform capture to generate multi-rate waveform data in real-time, the method comprising the steps of:

a) setting a desired first sample rate;

b) reading an input digital stream of data sensed from an electrical power distribution system comprised of a plurality of time-ordered samples sampled at a second sample rate; and

c) pre-ordering the read input digital stream in real-time as it is being written to a memory to create multi-rate waveform data comprised of a first low resolution data stream comprised of low resolution samples from among samples of the input digital stream at said first sample rate and a second high resolution data stream comprised of high resolution samples from among samples of the input digital stream at said second sample rate.

2. Method according to claim 1, wherein the high resolution samples of the high resolution data stream do not include the low resolution samples from among the input digital stream.

3. Method according to claim 1, wherein the high resolution samples of the high resolution data stream include the low resolution samples from among the input digital stream.

4. Method according to claim 1, where the second sample rate of the high resolution data stream is an integer multiple of the sample rate of the first sample rate of the low resolution data stream.

5. Method according to claim 1, wherein said pre-ordering step further comprises:

remapping addresses for writing the read input digital stream to the memory device in a temporal sequential order with alternate addresses for writing the read input digital stream to the memory in a non-temporal non-sequential order.

6. Method according to claim 1, further comprising:

storing the low resolution samples in a first memory buffer as low-resolution multi-rate waveform data; and

storing the high resolution samples in a second memory buffer as high-resolution multi-rate waveform data.

7. Method according to claim 1, further comprising:

receiving a conditioned analog stream; and

converting the conditioned analog stream to the input digital stream.

8. Method according to claim 7, wherein the conditioned analog stream is sensed from a three phase power source.

9. The method according to claim 1, further comprising reconstituting the low resolution data stream and the high resolution data steam into a single data stream upon an occurrence of a trigger event.

10. The method according to claim 9, wherein the trigger events include at least one of a transient voltage spike, a sag in Root Mean Square (RMS) voltage and a swell in RMS voltage.

11. An intelligent electronic device comprising:

means for setting a desired first sample rate;

means for reading an input digital stream of data sensed from an electrical distribution system comprised of a plurality of time-ordered samples sampled at a second sample rate; and

means for pre-ordering the read input digital stream in real-time as it is being written to a memory to create multi-rate waveform data comprised of a first low resolution data stream comprised of low resolution samples from among samples of the input digital stream at said first sample rate and a second high resolution data stream comprised of high resolution samples from among samples of the input digital stream at said second sample rate.

12. Intelligent electronic device according to claim 11, wherein the high resolution samples of the high resolution data stream do not include the low resolution samples from among the input digital stream.

13. Intelligent electronic device according to claim 11, wherein the high resolution samples of the high resolution data stream include the low resolution samples from among the input digital stream.

14. Intelligent electronic device according to claim 11, where the second sample rate of the high resolution data stream is an integer multiple of the sample rate of the first sample rate of the low resolution data stream.

15. Intelligent electronic device according to claim 11, wherein said means for pre-ordering further comprises:

means for remapping addresses for writing the read input digital stream to the memory device in a temporal sequential order with alternate addresses for writing the read input digital stream to the memory in a non-temporal non-sequential order.

16. Intelligent electronic device according to claim 11, further comprising:

a first memory buffer for storing the low resolution samples as low-resolution multi-rate waveform data; and

a second memory buffer for storing the high resolution samples as high-resolution multi-rate waveform data.

17. Intelligent electronic device according to claim 11, further comprising:

receiving a conditioned analog stream; and

converting the conditioned analog stream to the input digital stream.

18. Intelligent electronic device according to claim 17, wherein the conditioned analog stream is sensed from a three phase power source.

19. Intelligent electronic device according to claim 11, further comprising means for reconstituting the low resolution data stream and the high resolution data steam into a single data stream upon an occurrence of a trigger event.

20. Intelligent electronic device according to claim 19, wherein the trigger events include at least one of a transient voltage spike, a sag in Root Mean Square (RMS) voltage and a swell in RMS voltage.

21. An intelligent electronic device comprising:

at least one analog-to-digital converter for sampling waveform data;

a field programmable gate array (FPGA) for controlling the at least one analog-to-digital converter to sample the waveform data and for reading the sampled waveform data from the at least one analog-to-digital converter and for writing the sampled waveform data to a digital signal processor;

the digital signal processor for receiving the sampled waveform data from the FPGA, for processing the received sampled waveform data and for storing the processed sampled waveform data in a memory;

the memory for storing the processed sampled waveform data received from the digital signal processor; and

a processor for reading the processed data from the memory for further processing, presentation and storage,

wherein the FPGA is further configured to remap the processed data as pre-ordered data as it writes the data to the digital signal processor.

22. The intelligent electronic device of claim 21, wherein the digital signal processor is configured as part of the FPGA.

23. An intelligent electronic device comprising:

at least one analog-to-digital converter for sampling waveform data;

a field programmable gate array (FPGA) for controlling the at least one analog-to-digital converter to sample the waveform data and for reading the sampled waveform data from the at least one analog-to-digital converter and for writing the sampled waveform data to a digital signal processor;

the digital signal processor for receiving the sampled waveform data from the FPGA, for processing the received sampled waveform data and for storing the processed sampled waveform data in a memory;

the memory for storing the processed sampled waveform data received from the digital signal processor; and

a processor for reading the processed data from the memory for further processing, presentation and storage,

wherein the digital signal processor remaps the processed sampled waveform data as it writes the data to the memory.

24. The intelligent electronic device of claim 23, wherein the digital signal processor is configured as part of the FPGA.

25. An intelligent electronic device comprising:

at least one analog-to-digital converter for sampling waveform data;

a field programmable gate array (FPGA) for controlling the at least one analog-to-digital converter to sample the waveform data and for reading the sampled waveform data from the at least one analog-to-digital converter and for writing the sampled waveform data to at least one processor, wherein the FPGA remaps the sampled waveform data as pre-ordered data as it writes the data to the at least one processor;

the at least one processor for receiving the sampled waveform data from the FPGA, for processing the received sampled waveform data and for storing the processed sampled waveform data in a memory; and

the memory for storing the processed sampled waveform data received from the at least one processor.

26. An intelligent electronic device comprising:

at least one analog-to-digital converter for sampling waveform data;

a field programmable gate array (FPGA) for controlling the at least one analog-to-digital converter to sample the waveform data and for reading the sampled waveform data from the at least one analog-to-digital converter and for writing the sampled waveform data to at least one processor;

the at least one processor for receiving the sampled waveform data from the FPGA, for processing the received sampled waveform data and for storing the processed sampled waveform data in a memory, wherein the at least one processor remaps the processed sampled waveform data as it writes the data to the memory; and

the memory for storing the processed sampled waveform data received from the at least one processor.