System and method for improved flow data reconciliation

• US 5,504,692 A
• Filed: 06/15/1992
• Issued: 04/02/1996
• Est. Priority Date: 06/15/1992
• Status: Expired due to Fees

• Current Assignee: E. I. du Pont de Nemours and Company (Corteva, Inc.)
• Original Assignee: E. I. du Pont de Nemours and Company (Corteva, Inc.)
• Inventors: Cardner, David V.
• Primary Examiner(s): Ramirez, Ellis B.
• Assistant Examiner(s): PEESO, THOMAS R
• Application Number:
  US07/898,864
• Time in Patent Office: 1,387 Days
• Field of Search: 364/510, 364/151, 364/581, 364/500, 73/155, 73/204.15, 374/33
• US Class Current: 700/266
• CPC Class Codes: G01F 15/068 with electrical means G01F15/063 takes precedence
• CPC Class Codes: G01F 25/10 of flowmeters
• CPC Class Codes: G05B 13/04 involving the use of models or simulators
• CPC Class Codes: G05B 17/02 electric

Abstract

The present invention is a system and method for improved processing of flow data signals to provide output flow data signals which better approximate the true flows being measured. The general approach on which the invention is based is commonly known as flow data reconciliation. A dynamic simulation is run in parallel with a flow data reconciliation, and model predicted flows are used to complete balances wherever sensor measurements are unavailable. Model predicted compositions are also used to allow the computation of stream enthalpies so that enthalpy balances can be used in the reconciliation. The use of model predicted values of changes in inventory allow dynamic material balances to be used, making the reconciliation much more effective for processes with slow dynamic behavior. Weighting factors on sensors, computed based on the current value of the error of the sensor, reduce the impact of sensors with high errors. A multiplicative correction factor distributes corrections more evenly among streams with large and small flows. Statistical behavior of historical performance of sensors is used to reduce the adverse impact of rapid shifts in sensor accuracy and to detect unconverged reconciliation solutions.

Claims

1. A computer-based method of processing flow signals, said method employing data reconciliation, comprising the steps of:

(1) operating a process comprising one or more units and two or more streams to produce a product;

(2) measuring flow rates and temperatures of two or more of said streams to produce raw flow signals;

(3) predicting, using dynamic simulation, predicted flow signals for one or more of said streams not measured in step (2);

(4) constructing a complete mass balance around at least one of said units, by using said raw flow signals and said predicted flow signals;

(5) correcting one or more of said raw flow signals and/or predicted flow signals by using said complete mass balance to produce mass corrected flow signals; and

(6) directly or indirectly changing the state of a final control element of said process in response to said mass corrected flow signals in accordance with an operating objective.

2. The computer-based method of processing flow signals of claim 1, further comprising the steps of:

predicting, using said dynamic simulation, predicted values of rate of change of inventory in one or more of said units; and

constructing said complete mass balance(s) of step (4) using a dynamic balance(s).

3. The computer-based method of processing flow signals of claim 1, further comprising the steps of:

predicting, using said dynamic simulation, predicted composition values in one or more of said streams; and

constructing a complete enthalpy balance around at least one of said one or more units, by computing stream enthalpies using said mass corrected flow signals, said predicted composition values, and said raw temperature signals; and

further correcting one of more of said mass corrected flow signals to produce enthalpy corrected flow signals.

4. The computer-based method of processing flow signals of claim 1, further comprising the steps:

operating the process to create said flow rates;

changing the state of a final control element of said process in accordance with a predicted product property signal; and

wherein said predicting step (3) further predicts said predicted product property signal.

5. A computer-based data reconciliation system, comprising:

(a) two or more sensors for producing raw flow signals indicative of flow rates of two or more streams in a process comprising one or more units and two or more streams;

(b) a computer-based dynamic simulation, connected to use mass corrected flow signals and said raw flow signals as inputs, for producing predicted flow signals for one or more of said streams; and

(c) a computer-based flow data reconciliation module, connected to use said predicted flow signals and said raw flow signals as inputs, for correcting said raw flow signals to minimize a mass error sum of a complete mass balance around at least one of said one or more units, to produce said mass corrected flow signals.

6. The computer-based data reconciliation system claim 5, wherein said computer-based dynamic simulation further produces predicted rate of change of inventory signals in one or more of said units;

and wherein said computer-based flow data reconciliation module is further connected to use said predicted rate of change of inventory signals, for correcting said raw flow signals in accordance with a dynamic complete mass balance.

7. The computer-based data reconciliation system of claim 5, wherein:

said computer-based dynamic simulation further produces predicted composition signals for one or more of said streams; and

further comprising;

a computer-based flow data reconciliation module, connected to use said mass corrected flow signals said raw temperature signals and said predicted composition signals as inputs, for further correcting said mass corrected flow signals to minimize an enthalpy error sum of a complete enthalpy balance around at least one of said one or more units.

8. The computer-based data reconciliation system of claim 5, further comprising:

a controller, for changing a state of a final control element of said process, connected to directly or indirectly use said corrected flow signals as inputs, and connected to change said state in accordance with an operating objective.

9. The computer-based data reconciliation system of claim 5, wherein said dynamic simulation further produces a predicted product property signal;

and further comprising;

a product property controller, connected to directly or indirectly use said predicted product property signal as input, for producing a controller output signal in accordance with said input and a control objective; and

an actuator, for changing a state of the process, connected to change said state in accordance with said controller output signal.

10. A computer-based method of processing flow signals, said method employing data reconciliation, comprising the steps of:

(1) operating a process comprising one or more units and two or more streams to produce a product;

(2) measuring flow rates of two or more of said streams to produce raw flow signals;

(3) constructing a complete mass balance around at least one of said units, using said raw flow signals;

(4) adjusting each of said raw flow signals by multiplying each signal by a respective constant; and

(5) adjusting said respective constants to minimize a sum of values, each value indicative of the deviation of each said respective constant from a value of one.

11. The computer-based method of processing flow signals of claim 10, wherein:

said values of step (4) are computed by multiplying each said deviation times a respective weight, and further comprising a step of computing each said value of step (4), and reducing said respective weight of each said value whenever said value exceeds a threshold.

12. The computer-based method of processing flow signals of claim 10, wherein said values of step (4) are computed by multiplying each said deviation times a respective weight, and further comprising the steps of:

computing a statistical characteristic of said value; and

computing each said value of step (4), and reducing said respective weight of each said value whenever said value is high relative to said statistical characteristic.

13. A computer-based data reconciliation system, comprising:

(a) two or more sensors for producing raw flow signals indicative of flow rates of two or more streams in a process comprising one or more units;

(b) a computer-based flow data reconciliation module, connected to use said raw flow signals as inputs, for correcting said raw flow signals to produce mass corrected flow signals by multiplying each signal by a respective constant and adjusting said respective constants to minimize a sum of values, each value indicative of the deviation of each said respective constant from a value of one.

14. The computer-based data reconciliation system of claim 13, wherein said computer-based flow data reconciliation module corrects said raw flow signals by multiplying each said deviation times a respective weight, and by reducing said respective weight of each said value whenever said value exceeds a threshold.

15. The computer-based data reconciliation system of claim 13, wherein said computer-based flow data reconciliation module corrects said raw flow signals by computing a statistical characteristic of said value and reducing said respective weight of each said value whenever said value is high relative to said statistical characteristic.