INTEGRATED RESOURCE MONITORING SYSTEM WITH INTERACTIVE LOGIC CONTROL

• US 20090076632A1
• Filed: 09/18/2007
• Published: 03/19/2009
• Est. Priority Date: 09/18/2007
• Status: Abandoned Application

• Current Assignee: Groundswell Technologies, Inc.
• Original Assignee: Groundswell Technologies, Inc.
• Inventors: Kram, Mark, Loaiciga, Hugo
• Application Number:
  US11/857,354
• Publication Number:
  US 20090076632A1
• Time in Patent Office: Days
• US Class Current: 700/33
• CPC Class Codes: G01V 9/02 Determining existence or flow of underground water
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 50/02 Agriculture; Fishing; Forestry; Mining
• CPC Class Codes: G06Q 50/06 Energy or water supply

Abstract

A system for resource usage optimization employs an automatically controlled sensor suite providing data to a computer system for the analysis of spatial relationships of the sensors and resources. A control module incorporates an interactive logic, in an exemplary embodiment of well-stream coupled dynamic or game theory engines, operating in conjunction with the spatial data processing algorithms, GIS in an exemplary embodiment, receives as an input an objective function set for the use of the resource and constraint sets which are then monitored by the sensor suite. Incoming data is compared to the constraint sets and upon impact to any of the elements of the objective function set, creates a report/alarm for action or to trigger a corrective action.

Claims

1. A real-time automated system for resource usage optimization comprises:

a plurality of automatically controlled sensor suites;

a computer system having

spatial data processing algorithms;

a control module incorporating an interactive logic, operating in conjunction with the spatial data processing algorithms and receiving as an input an objective function set for the use of the resource and constraint sets;

means for receiving data monitored by the sensor suites;

means comparing the received data to the constraint sets and,

means for creating a report/alarm for action upon impact to any of the elements of the objective function set.

2. The real-time automated system for resource usage optimization as defined in claim 1 wherein each of the plurality of sensor suites has a plurality of sensors each monitoring data for a constraint.

3. The real-time automated system for resource usage optimization as defined in claim 2 further comprising means for providing the sensor suite input data to a constraint sets calculator for update of the constraint set assumptions for remodeling of interactive logic calculations.

4. The real-time automated system for resource usage optimization as defined in claim 2 wherein the interactive logic comprises game theory.

5. A real-time automated system for resource usage optimization for well water monitoring on multiple extraction wells drawn upon for use by multiple users comprising:

a plurality of automatically controlled sensor suites monitoring flow rates and levels of the extraction wells and aquifer replenishment sources including at least one monitoring well proximate the extraction wells;

a computer system having

GIS data processing algorithms;

a control module incorporating an interactive logic, operating in conjunction with the GIS data processing algorithms and receiving as an input an objective function set for the use of the resource and constraint sets, the objective functions for the interactive logic allowing maximizing the water withdrawal capability in the most economically efficient manner by multiple users while avoiding salt water intrusion into a well from overdraw conditions and the constraint sets include response of the aquifer modeled from static data including historical permeability and storage capacity, flow rates and water table level history;

means for receiving data monitored by the sensor suites;

means comparing the received data to the constraint sets and,

means for creating a report/alarm for action upon impact to any of the elements of the objective function set.

6. The real-time automated system for resource usage optimization for well water monitoring as defined in claim 5 wherein game theory is employed as the interactive logic to establish the optimum flow rates for the desired economic maximization.

7. The real-time automated system for resource usage optimization for well water monitoring as defined in claim 6 wherein flow rate monitoring accomplished at both the withdrawal well is employed to validate/update the constraints for the Game Theory for closed loop operation.

8. The real-time automated system for resource usage optimization for well water monitoring as defined in claim 5 further comprising means for automatic adjustment of pumping rates based on model output where the impact to an element of the objective function set is exceeding a predetermined threshold.

9. A real-time system automated for resource usage optimization for assuring a river water level minimum associated with multiple extraction wells drawn upon for use by multiple users comprising:

a plurality of automatically controlled sensor suites monitoring flow rates and levels of the extraction wells and river water level;

a computer system having

spatial data processing algorithms;

a control module incorporating an interactive logic, operating in conjunction with the spatial data processing algorithms and receiving as an input an objective function set for the use of the resource and constraint sets, the objective functions for the interactive logic allowing maximizing the water withdrawal capability in the most economically efficient manner by multiple users while avoiding reduction of river water level below a predetermined minimum from overdraw conditions and the constraint sets include response of the river flow modeled from static data including historical permeability and storage capacity, flow rates and water table level history;

means for receiving data monitored by the sensor suites;

means comparing the received data to the constraint sets;

means for creating a report/alarm for action upon impact to any of the elements of the objective function set; and

.

means for automatic adjustment of pumping rates based on model output and whether thresholds have been exceeded.

10. The real-time automated system for resource usage optimization for assuring river level as defined in claim 9 wherein a radial flow equation with constant head boundary condition is employed as the interactive logic to establish the optimum flow rates for the desired economic maximization.

11. The real-time automated system for resource usage optimization for assuring river level as defined in claim 10 wherein flow rate monitoring accomplished at the withdrawal well and level monitoring at of the river is employed to validate/update the constraints for the radial flow equation with constant head boundary condition is solved for closed loop operation.

12. A method for real-time automated resource usage optimization comprises:

providing a plurality of automatically controlled sensor suites;

providing a computer system having

spatial data processing algorithms;

a control module incorporating an interactive logic,

operating the control module in conjunction with the spatial data processing algorithms;

receiving as an input an objective function set for the use of the resource and constraint sets;

receiving data monitored by the sensor suites;

comparing the received data to the constraint sets and,

creating a report/alarm for action upon impact to any of the elements of the objective function set.

13. The method of claim 12 further comprising the step of

providing the sensor suite input data to a constraint sets calculator;

updating the constraint set assumptions; and

remodeling interactive logic calculations.

14. The method of claim 13 wherein the interactive logic comprises game theory and the step of updating the constraint set assumptions comprises the steps of:

maximizing QT G Q+QT z+c with respect to Q subject to;

BQ<

=b where Q, T, G, Z, b, B were defined above;

defining flow rate for each well.