Method and system for estimating an operating state of a facility via imaging of electromagnetic radiation
In a method and system for estimating an operating state of a facility, an imaging sensor (or camera) is positioned to acquire image data from a facility of interest. Image data received from the imaging sensor is stored and then processed by a computer to identify one or more regions of interest within each image. A model is then created that relates data from the pixels (i.e., pixel values) from one or more of the identified regions of interest in the image data to the operating state for the facility. As new image data is received, that image data is input into the model to estimate the operating state of the facility, and the estimated operating state is then reported to market participants.
1. A system for estimating an operating state of a facility, comprising:
an imaging sensor positioned to acquire image data of the facility;
a database of historical operating state data for the facility; and
a computer with a processor for executing instructions stored in a computer-readable medium for
receiving image data for the facility from the imaging sensor,
identifying one or more regions of interest within each image included in the image data,
retrieving historical operating state data for the facility from the database,
generating a model, via machine learning, that relates pixel data from the one or more regions of interest within each image to an operating state of the facility,
storing the model in a memory component,
receiving, at a subsequent time, image data for a particular time period, and then inputting the image data into the model as stored in the memory component to generate an estimate of the operating state of the facility for the particular time period, and
electronically outputting and reporting the estimate of the operating state of the facility for the particular time period to market participants.
2. The system as recited in claim 1 , wherein the pixel data is pixel intensity data.
3. The system as recited in claim 1 , wherein the operating state is on or off.
4. The system as recited in claim 1 , wherein the facility is selected from the group consisting of a power plant, an oil refinery, and a manufacturing facility.
5. The system as recited in claim 1 , wherein the imaging sensor is positioned at a location remote from the facility.
6. A system for estimating an operating state of a facility, comprising:
an imaging sensor positioned at a location remote from the facility and configured to acquire image data of the facility;
a data receiving module for receiving image data from the imaging sensor;
an identification module for identifying one or more regions of interest within each image included in the image data;
an analysis module for
(i) retrieving historical operating state data for the facility from a database,
(ii) generating a model that relates pixel data from the one or more regions of interest within each image to an operating state of the facility, and
(iii) applying the model to subsequently received image data for a particular time period to generate an estimate of the operating state of the facility for the particular time period;
a reporting module for reporting the estimate of the operating state of the facility to a market participant.
7. The system as recited in claim 6 , wherein the pixel data is pixel intensity data.
8. The system as recited in claim 6 , wherein the operating state is on or off.
9. The system as recited in claim 6 , wherein the facility is selected from the group consisting of a power plant, an oil refinery, and a manufacturing facility.
10. A method for estimating an operating state of a facility, comprising the steps of:
receiving, via a computer, image data for the facility;
using the computer to identify one or more regions of interest within each image included in the image data;
using the computer to retrieve historical operating state data for the facility;
generating a model, via machine learning, that relates pixel data from the one or more regions of interest within each image to an operating state of the facility;
storing the model in a memory component;
receiving, at a subsequent time, image data for a particular time period, and then inputting the image data into the model as stored in the memory component to generate an estimate of the operating state of the facility for the particular time period; and
electronically outputting and reporting the estimate of the operating state of the facility for the particular time period to market participants.
11. The method as recited in claim 10 , wherein the pixel data is pixel intensity data.
12. The method as recited in claim 10 , wherein the operating state is on or off.
13. The method as recited in claim 10 , wherein the facility is selected from the group consisting of a power plant, an oil refinery, and a manufacturing facility.
14. The method as recited in claim 10 , wherein the image data is acquired by an imaging sensor positioned at a location remote from the facility.
15. A method for estimating an operating state of a unit of a facility,
receiving, via a computer, image data for the facility, wherein the image data is acquired by an imaging sensor positioned at a location remote from the facility;
using the computer to identify at least one region of interest within each image included in the image data, the at least one region of interest corresponding to the unit of the facility;
using the computer to retrieve historical operating state data for the unit of the facility;
generating a model, via machine learning, that relates pixel data from the at least one region of interest to an operating state of the unit of the facility;
storing the model in a memory component;
receiving, at a subsequent time, image data for a particular time period, and then inputting the image data into the model as stored in the memory component to generate an estimate of the operating state of the unit of the facility for the particular time period; and
electronically outputting and reporting the estimate of the operating state of the unit of the facility for the particular time period to market participants.
16. The method as recited in claim 15 , wherein the pixel data is pixel intensity data.
17. The method as recited in claim 15 , wherein the operating state is on or off.