What is claimed is:
1. A method for remotely monitoring the operation of at least one turbine, the turbine in an operating location, the method comprising:
inputting input data from the turbine;
processing the input data to generate verified performance data, the processing including determining validity of the input data and performing at least one calculation on the input data, which is valid, to generate the verified performance data; and
generating a collection of stored data in a database based on at least one of the input data and the verified performance data.
2. The method of claim 1, wherein the step of processing the input data to generate verified performance data includes determining if input data is available.
3. The method of claim 1, wherein the step of processing the input data to generate verified performance data includes at least one of range checks and cross comparisons on the input data.
4. The method of claim 1, wherein generating a collection of stored data in a database based on at least one of the input data and the verified performance data includes generating the collection of stored data based only on the input data, if the input data is determined to be not valid.
5. The method of claim 1, wherein generating a collection of stored data in a database based on at least one of the input data and the verified performance data includes generating the collection of stored data based on the input data and the performance data, if the input data is determined to be valid.
6. The method of claim 1, wherein processing the input data to generate verified performance data includes:
processing the input data to determine calculated performance data; and
determining the validity of the calculated performance data; and
designating valid calculated performance data as verified performance data.
7. The method of claim 6, wherein determining the validity of the calculated performance data includes performing range checks and cross comparisons on the calculated performance data.
8. The method of claim 6, wherein determining the validity of the calculated performance data includes determining a base load condition of the turbine.
9. The method of claim 6, wherein determining the validity of the calculated performance data includes determining a steady state condition of the turbine.
10. The method of claim 1, wherein processing the input data to generate verified performance data includes calculating an average daily performance of the turbine.
11. The method of claim 1, wherein the at least one turbine is at least one gas turbine.
12. The method of claim 1, wherein the at least one turbine is a plurality of turbines.
13. The method of claim 12, wherein at least one of the input data and the verified performance data are standardized for each of the plurality of turbines.
14. The method of claim 1, wherein the step of processing the input data to generate verified performance data includes stopping the processing once input data or processed data, which is obtained from the input data, is determined to be invalid; and
wherein generating a collection of stored data includes displaying at least one of the input data and the verified performance data that is obtained prior to the stopping.
the presentation portion displays at least one of the input data and the verified performance data that is obtained prior to the stopping.
20. The system of claim 16, wherein the processing portion:
determines an invalidity of a first utilized calculation;
determines the validity of a second utilized calculation; and
wherein the calculation engine uses the second calculation in substitution for the first utilized calculation to generate the verified performance data.
21. A system for remotely monitoring the operation of at least one turbine, the turbine in an operating location, the system comprising:
means for inputting input data from the turbine;
means for processing the input data to generate verified performance data, the means for processing determining validity of the input data and performing at least one calculation on the input data, which is valid, to generate the verified performance data; and
means for generating a collection of stored data in a database based on at least one of the input data and the verified performance data.
22. A method for remotely monitoring the operation of at least one gas turbine, the gas turbine in an operating location, the method comprising:
inputting input data from the gas turbine;
processing the input data to generate verified performance data, the processing including determining validity of the input data and performing at least one calculation on the input data, which is valid, to generate the verified performance data; and
generating a collection of stored data in a database based on at least one of the input data and the verified performance data; and
wherein determining the validity of the calculated performance data includes determining a base load condition of the turbine;
wherein determining the validity of the calculated performance data includes determining a steady state condition of the turbine;
wherein the step of processing the input data to generate verified performance data includes stopping the processing once input data or processed data, which is obtained from the input data, is determined to be invalid; and
generating a collection of stored data includes displaying at least one of the input data and the verified performance data that is obtained prior to the stopping; and
wherein the processing the input data to generate verified performance data further includes:
determining an invalidity of a first utilized calculation;
determining the validity of a second utilized calculation; and
using the second calculation in substitution for the first utilized calculation to generate the verified performance data.
23. An automated system for remotely monitoring the operation of at least one gas turbine, the gas turbine in an operating location, the system comprising:
a database for inputting input data from the turbine;
a processing system that processes the input data to generate verified performance data, the processing system including:
a data validation portion that determines validity of the input data, the data validation portion performs at least one of range checks and cross comparisons on the input data;
a calculation engine that performs at least one calculation on the input data, which is valid, to generate the verified performance data; and
a presentation portion that accesses a data storage portion to display a collection of stored data that is stored in the data storage portion, wherein the stored data is based on at least one of the input data and the verified performance data; and
wherein the processing system stops processing once the input data or processed data, which is obtained from the input data, is determined to be invalid; and
the presentation portion displays at least one of the input data and the verified performance data that is obtained prior to the stopping; and
wherein the processing portion:
determines an invalidity of a first utilized calculation;
determines the validity of a second utilized calculation; and
wherein the calculation engine uses the second calculation in substitution for the first utilized calculation to generate the verified performance data.
24. A system for remotely monitoring the operation of at least one gas turbine, the gas turbine in an operating location, the system comprising:
means for inputting input data from the gas turbine;
means for processing the input data to generate verified performance data, the means for processing determining validity of the input data and performing at least one calculation on the input data, which is valid, to generate the verified performance data; and
means for generating a collection of stored data in a database based on at least one of the input data and the verified performance data; and
wherein the means for determining the validity of the calculated performance data determines a base load condition of the turbine;
wherein the means for determining the validity of the calculated performance data determines a steady state condition of the turbine;
wherein the means for processing the input data to generate verified performance data stops the processing once input data or processed data, which is obtained from the input data, is determined to be invalid; and
the means for generating a collection of stored data displays at least one of the input data and the verified performance data that is obtained prior to the stopping; and
wherein the means for processing the input data to generate verified performance data:
determines an invalidity of a first utilized calculation;
determines the validity of a second utilized calculation; and
uses the second calculation in substitution for the first utilized calculation to generate the verified performance data.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A method for operating an online meeting system, the method comprising:
determining, by a central processing unit, a context for a scheduled meeting based on contextual data in a meeting entry for the scheduled meeting; and
automatically modifying a service level of the scheduled meeting for an attendee of the scheduled meeting based on the context of the scheduled meeting.
2. The method of claim 1, wherein the contextual data includes at least one of: a topic of the scheduled meeting; attendee data associated with the scheduled meeting, the attendee data including name, job title, and biographical data from a software program; an assessment of service levels from attendees of the scheduled meeting; a service usage and service level modification history of the attendees of the scheduled meeting; a history of participation of the attendees of the scheduled meeting in prior meetings; and a location in a virtual world.
3. The method of claim 1, wherein the service level controls at least one of a quality of service for a network application resource, a security parameter for the network application resource, a communication bandwidth for the network application resource, an execution speed of the network application resource, and communication access to a network server.
4. The method of claim 1, further comprising:
determining a confidence level of the determined context; and
wherein automatically modifying the service level is additionally based on whether the confidence level is greater than a confidence threshold.
5. The method of claim 1, wherein automatically modifying the service level is additionally based on user settings and user parameters.
6. The method of claim 1, wherein automatically modifying the service level is additionally based on a resource budget for the scheduled meeting such that individual attendees of the scheduled meeting can trade service level allocations from the resource budget.
7. The method of claim 1, wherein automatically modifying the service level is additionally based on activation of a mute button during the scheduled meeting.