System and method for concentrating gas
Embodiments of gas concentrating systems and methods are provided. These systems and methods comprise configuration of hardware and software components to monitor various sensors associated the systems and methods of concentrating gas as described herein. These hardware and software components are further configured to utilize information obtained from sensors throughout the system to perform certain data analysis tasks. Through analysis, the system may, for example, calculate a time to failure for one or more system components, generate alarms to warn a user of pending component failure, modify system settings to improve functionality in differing environmental conditions, modify system operation to conserve energy, and/or determine optimal setting configurations based on sensor feedback.
1. A system for concentrating gas comprising:
a plurality of sieve beds;
an oxygen sensor;
a pressure sensor;
a controller comprising:
logic for collecting oxygen and pressure data;
logic for calculating linear regressions for the oxygen and pressure data;
logic for determining a predicted time to failure for one or more gas concentrating components based on the oxygen linear regression calculation and a predetermined threshold oxygen purity level;
logic for determining the slope of the pressure linear regression calculation; and
logic for generating one or more component alarms based on the oxygen linear regression calculation and the slope of the pressure linear regression calculation.
2. The system of claim 1 , wherein the logic for generating one or more component alarms based on the oxygen linear regression calculation and the slope of the pressure linear regression calculation comprises:
logic using the oxygen linear regression calculation to generate a time window before the predicted failure of the component.
3. The system of claim 2 , wherein the logic for generating one or more component alarms based on the oxygen linear regression calculation and the slope of the pressure linear regression calculation further comprises:
logic for determining if the slope of the pressure linear regression calculation is positive or negative during the time window.
4. The system of claim 3 , wherein the logic for generating one or more component alarms based on the oxygen linear regression calculation and the slope of the pressure linear regression calculation further comprises:
logic for generating a first sieve bed alarm if the slope of the pressure linear regression calculation is positive at the start of the time window.
5. The system of claim 3 , wherein the logic for generating one or more component alarms based on the oxygen linear regression calculation and the slope of the pressure linear regression calculation further comprises:
logic for generating a second sieve bed alarm if the slope of the pressure linear regression calculation is positive at the end of the time window.
6. The system of claim 3 , wherein the logic for generating one or more component alarms based on the oxygen linear regression calculation and the slope of the pressure linear regression calculation further comprises:
logic for generating a first compressor alarm if the slope of the pressure linear regression calculation is negative at the start of the time window.
7. The system of claim 3 , wherein the logic for generating one or more component alarms based on the oxygen linear regression calculation and the slope of the pressure linear regression calculation further comprises:
logic for generating a second compressor alarm if the slope of the pressure linear regression calculation is negative at the end of the time window.
8. The system of claim 3 , wherein the logic for generating one or more component alarms based on the oxygen linear regression calculation and the slope of the pressure linear regression calculation further comprises:
logic for generating a first filter alarm if the slope of the pressure linear regression calculation is negative at the start of the time window.
9. The system of claim 3 , wherein the logic for generating one or more component alarms based on the oxygen linear regression calculation and the slope of the pressure linear regression calculation further comprises:
logic for generating a second filter alarm if the slope of the pressure linear regression calculation is negative at the end of the time window.
10. A health monitoring system for a gas concentrator, comprising:
a controller comprising:
logic for collecting oxygen and pressure data;
logic for calculating linear regressions for the oxygen and pressure data;
logic for determining a predicted time to failure for one or more gas concentrator components based on the oxygen linear regression calculation and a predetermined threshold oxygen purity level;
logic for determining the slope of the pressure linear regression calculation; and
logic for generating one or more component alarms based on the oxygen linear regression calculation and the slope of the pressure linear regression calculation.
11. The system of claim 10 , wherein the logic for generating one or more component alarms based on the oxygen linear regression calculation and the slope of the pressure linear regression calculation comprises:
logic using the oxygen linear regression calculation to generate a time window before the predicted failure of the component.
12. The system of claim 11 , wherein the logic for generating one or more component alarms based on the oxygen linear regression calculation and the slope of the pressure linear regression calculation further comprises:
logic for determining if the slope of the pressure linear regression calculation is positive or negative during the time window.
13. The system of claim 12 , wherein the logic for generating one or more component alarms based on the oxygen linear regression calculation and the slope of the pressure linear regression calculation further comprises:
logic for generating a first sieve bed alarm if the slope of the pressure linear regression calculation is positive at the start of the time window.
14. The system of claim 12 , wherein the logic for generating one or more component alarms based on the oxygen linear regression calculation and the slope of the pressure linear regression calculation further comprises:
logic for generating a second sieve bed alarm if the slope of the pressure linear regression calculation is positive at the end of the time window.
15. The system of claim 12 , wherein the logic for generating one or more component alarms based on the oxygen linear regression calculation and the slope of the pressure linear regression calculation further comprises:
logic for generating a first compressor alarm if the slope of the pressure linear regression calculation is negative at the start of the time window.
16. The system of claim 12 , wherein the logic for generating one or more component alarms based on the oxygen linear regression calculation and the slope of the pressure linear regression calculation further comprises:
logic for generating a second compressor alarm if the slope of the pressure linear regression calculation is negative at the end of the time window.
17. A gas concentrating system comprising:
a plurality of sieve beds;
an oxygen sensor;
a pressure sensor;
a controller comprising:
logic collecting oxygen and pressure data;
logic calculating linear regressions for the oxygen and pressure data;
logic determining a first predicted time to failure for one or more gas concentrator components based on the oxygen linear regression calculation and a predetermined threshold oxygen purity level;
logic determining a second predicted time to failure for one or more gas concentrator components based on the pressure linear regression calculation and a predetermined threshold pressure level;
logic comparing the first and second predicted times to failure;
logic setting a time window based on the comparison; and
logic for generating one or more component alarms when the system is within the time window.
18. The system of claim 17 , wherein the logic comparing the first and second predicted times to failure comprises logic determining which of the first and second predicted times to failure will occur sooner.
19. The system of claim 18 , wherein the logic setting a time window based on the comparison comprises logic setting the time window based on the sooner occurring predicted time to failure.
20. The system of claim 17 , wherein the logic for generating one or more component alarms when the system is within the time window comprises logic generating one or more component alarms when the system is within a 30 day time window.