Method and apparatus for behavioristic-format coding of quantitative resource data/distributed automation protocol

• US 5,732,193 A
• Filed: 01/20/1995
• Issued: 03/24/1998
• Est. Priority Date: 01/26/1992
• Status: Expired due to Term

• Current Assignee: Michael Aberson
• Original Assignee: Michael Aberson
• Inventors: Aberson, Michael
• Primary Examiner(s): Hafiz, Tariq R.
• Assistant Examiner(s): Rhodes, Jason W.
• Application Number:
  US08/375,728
• Time in Patent Office: 1,159 Days
• Field of Search: 395/10, 395/915, 364/474.16, 364/575, 340/825.06
• US Class Current: 706/45
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: Y10S 706/915 Power plant

Abstract

A method for behavioristic-format coding of quantitative resource data for control, planning and communication purposes in line businesses, utilities, etc. An individual coding unit can be used in a specific real-time object-oriented behavioristic control loop, and provide coherent, flexible data for control, planning, budgeting and forecasting, using a digital Tough Stochastic Decomposition (TSD) principle as the general behavioristic method. In accordance with the TSD method, the input raw data is converted in a standard rectangular digital matrix format, in which the 24-hour calendar day is divided into four 6-hour intervals. The coding apparatus is connected to primary instrumentation and provides total distributed raw data group coding, in non-programmable fashion, providing four digital-coded numbers a day, as four time history files. The coding apparatus digital output provides data packets for a distributed automation protocol over a data highway to a plurality of computing stations, where the behavioristic-format coded data is available for analysis and object-oriented programming using classic procedures such as regression and simplex optimization. The coding apparatus is also usable in local process control applications, including electrical energy demand and loss minimization. In addition, a load-leveling approximation and individual energy conservation technique is achieved via a new matrix game billing format.

Claims

1. A method for periodically, automatically controlling a process in accordance with digital control signals produced as output by a non-programmable controller, wherein the non-programmable controller is responsive to behavioristic-format coded input data supplied by a non-programmable coding apparatus which acquires raw, quantitative resource data measured by primary instrumentation, said method comprising the steps of:

defining, in said coding apparatus, four 6-hour time intervals corresponding to periods of a 24-hour calendar day;

inputting the instrumentation-measured raw, quantitative resource data as discrete digital values into a summing means in said coding apparatus;

disjointly summing said discrete digital values of the raw, instrumentation-measured quantitative resource data occurring during said intervals;

storing said summed discrete digital values of quantitative resource data associated with each of said defined four 6-hour time intervals, as four digital-coded numbers a day;

providing said four digital-coded numbers to said controller for producing, via arithmetic and logic manipulation, said digital control signals; and

performing periodic automatic process control in accordance with said digital control signals,

wherein said storing step is performed by subdividing the calendar day to produce said four digital-coded numbers, each associated with one of four daily intervals defined by the following hourly intervals;

space="preserve" listing-type="tabular">______________________________________ 00;

01-06;

00 (night);

06;

01-12;

00 (morning);

12;

01-18;

00 (day); and

18;

01-24;

00 (evening);

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and wherein said four digital-coded numbers comprise a rectangular matrix, each digital-coded number corresponding to one of said four 6-hour daily intervals, said rectangular matrix defining a standard analytical format for process control and object-oriented linear programming and regression optimization procedures.

2. The method of claim 1 wherein said rectangular matrix provides a matrix game billing format for two-sided supply and demand decision-making applied to energy consumption optimization, providing commercial equilibrium billing format realization.

3. The method of claim 1 wherein said digital-coded numbers are applied to electrical energy transmission loss minimization in accordance with a method comprising the steps of:

comparing a first and second load level over a 6-hour interval, said first load level being associated with a first transmission line, and said second load level being associated with a second transmission line;

calculating simultaneous, coherent losses associated with each of said first and second load levels;

comparing said calculated losses at the end of said 6-hour interval; and

disconnecting one of said first and second transmisiion lines,

wherein said first transmission line is disconnected if said losses associated with said first load level exceed said losses associated with said second load level, and

wherein said second transmission line is disconnected if said losses associated with said second load level exceed said losses associated with said first load level.

4. The method of claim 1 further comprising the step of providing said digital-coded numbers for printing said stored, discrete summed quantitative resource data in four colors.

5. The method of claim 1 further comprising the step of transferring said digital-coded numbers containing said discrete, summed digital values of quantitative resource data over a data highway in a distributed automation protocol to at least one computing station for performing automatic process control, discrete optimization and decision-making.

6. The method of claim 1 wherein said step of providing said digital-coded numbers for producing said digital control signals comprises arithimetic and logic manipulation including summing, subdividing, multiplying, and comparing steps.

7. A dedicated non-programmable coding apparatus for providing behavioristic-format coded output data using input raw, quantitative resource data measured by primary instrumentation, said apparatus comprising:

timing means for defining four 6-hour time intervals corresponding to periods of a 24-hour calendar day;

summing means for disjointly summing discrete digital values of the raw, instrumentation-measured quantitative resource data occurring during said time intervals;

storage means for storing said summed discrete digital values of quantitative resource data associated with each of said defined four 6-hour time intervals, as four digital-coded numbers; and

means for transferring said digital-coded numbers as time history files containing said discrete, summed digital values of quantitative resource data over a data highway in a distributed automation protocol to at least one computing station for performing periodic, automatic process control, discrete optimization and decision-making,

wherein said timing means subdivides the calendar day to produce said four digital-coded numbers, each associated with one of four daily intervals defined by the following hourly intervals;

space="preserve" listing-type="tabular">______________________________________ 00;

01-06;

00 (night);

06;

01-12;

00 (morning);

12;

01-18;

00 (day); and

18;

01-24;

00 (evening);

______________________________________

and wherein said four digital-coded numbers comprise a rectangular matrix, each digital-coded number corresponding to one of said four 6-hour daily intervals, said rectangular matrix defining a standard analytical format for process control and object-oriented linear programming and regression optimization procedures.

8. The coding apparatus of claim 7 wherein said four digital-coded numbers comprise a rectangular matrix containing four group coded values each corresponding to one of said four 6-hour daily intervals, said rectangular matrix defining a standard format for process control automation and object-oriented linear programming and regression optimization procedures.

9. The coding apparatus of claim 7 further comprising means for color-format printing of said time history files.

10. The coding apparatus of claim 7 wherein said quantitative resource data is provided by the primary instrumentation in digital form.

11. The coding apparatus of claim 7 wherein said timing means, summing means and storage means compromise a microprocessor-based quantitative resource data controller.

12. A dedicated nonprogrammable coding apparatus for automatically coding measured quantitative resource data provided by primary instrumentation, said apparatus comprising:

timing means for defining four 6-hour time intervals corresponding to periods of a 24-hour calendar day;

summing means for disjointly summing discrete digital values of the raw, instrumentation-measured quantitative resource data occurring during said time intervals;

storage means for storing said summed discrete digital values of quantitative resource data associated with each of said defined four 6-hour time intervals, as four time history files; and

means for color-format printing said stored, summed discrete digital values of quantitative resource data in said associated one of said four time history files,

wherein said four time history files comprise a rectangular matrix containing four group coded values corresponding to said four 6-hour daily intervals, said rectangular matrix defining a standard format for periodic process control automation and object-oriented linear programing and regression optimization procedures,

wherein said timing means subdivides the calendar day to produce said four digital-coded numbers, each associated with one of four daily intervals defined by the following hourly intervals;

space="preserve" listing-type="tabular">______________________________________ 00;

01-06;

00 (night);

06;

01-12;

00 (morning);

12;

01-18;

00 (day); and

18;

01-24;

00 (evening);

______________________________________

and wherein said four digital-coded numbers comprise a rectangular matrix, each digital-coded number corresponding to one of said four 6-hour daily intervals, said rectangular matrix defining a standard analytical format for process control and object-oriented linear programming and regression optimization procedures.