AUTOMATED, THREE DIMENSIONAL MAPPABLE ENVIRONMENTAL SAMPLING SYSTEM AND METHODS OF USE

• US 20130218518A1
• Filed: 03/14/2012
• Published: 08/22/2013
• Est. Priority Date: 02/21/2012
• Status: Abandoned Application

• Current Assignee: GlobalFoundries, Inc.
• Original Assignee: International Business Machines Corporation
• Inventors: DIMITRI, Jennifer L., FERRE, Wilfredo, PETRY, William T., TIMLIN, Ernest L. Jr., YVON, Marc P.
• Application Number:
  US13/419,537
• Publication Number:
  US 20130218518A1
• Time in Patent Office: Days
• US Class Current: 702/152
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 2219/2642 Domotique, domestic, home control, automation, smart house
• CPC Class Codes: G05B 2219/37522 Determine validity of measured signals

Abstract

An automated, 3D mappable environmental sampling system and methods of use is disclosed herein. The method includes routing one or more sensors throughout a facility. The method further includes collecting environmental data on a continuous basis from the one or more sensors at various locations throughout the facility. The method further includes determining whether discrepancies exist between the collected environmental data and acceptable levels of environmental data.

Claims

1. A method comprising:

routing one or more sensors throughout a facility;

collecting environmental data on a continuous basis from the one or more sensors at various locations throughout the facility; and

determining whether discrepancies exist between the collected environmental data and acceptable levels of environmental data.

2. The method of claim 1, wherein the routing comprises providing instructions for the one or more sensors to travel a random route within the facility.

3. The method of claim 1, wherein the routing comprises providing instructions for the one or more sensors to travel in a predetermined route within the facility.

4. The method of claim 1, further comprising:

determining a location of the one or more sensors being routed throughout the facility;

transmitting the location of the one or more sensors to a computing system for storage; and

correlating the collected environmental data with the location of the one or more sensors to determine whether the discrepancies exist at the location.

5. The method of claim 4, wherein the location of the one or more sensors is determined using at least one of:

landmarks within the facility;

known spatial coordinates of the facility;

an encoder mounted to a traveling vehicle; and

a monitoring system placed along a track of a traveling vehicle which houses the one or more sensors.

6. The method of claim 4, wherein the location of the one or more sensors is time stamped, which is provided and stored in the computing system.

7. The method of claim 6, further comprising determining wafer yield by correlating the location, time stamp information and the collected environmental data obtained from the one or more sensors with a known location or locations of one or more wafers within the facility during processing at a known time.

8. The method of claim 1, wherein the determining is provided to a user in real-time.

9. The method of claim 1, further comprising repetitively sending the one or more sensors to a same location at preselected times.

10. The method of claim 1, wherein the one or more sensors is configured to collect at least one specific type of environmental data.

11. The method of claim 1, further comprising:

providing the collected environmental data to a computing system;

mapping the collected environmental data into a 3D map;

determining patterns based on the 3D map; and

providing recommendations to a user based on the patterns.

12. The method of claim 11, further comprising predicting wafer yield based on the mapping and the determination of patterns.

13. A system implemented in hardware, comprising:

a computer infrastructure operable to;

receive environmental data from one or more sensors that are moving throughout a facility;

compare the environmental data to at least one acceptable environmental data level; and

determine whether the environmental data exceeds the at least one acceptable environmental data level.

14. The system of claim 13, wherein the computer infrastructure is further operable to map the collected environmental data into a 3D map.

15. The system of claim 14, wherein the computer infrastructure is further operable determine patterns based on the 3D map.

16. The system of claim 13, wherein the computer infrastructure is further operable to:

provide routes for 3D mapping and environmental data collection of the one or more sensors;

correlate a time and a location to the environmental data collected by the one or more sensors;

transfer environmental data in real-time to aggregate and analyze the environmental data; and

provide predictive data at least one of real-time and logging results based on the collected environmental data and correlated time and location.

17. The system of claim 13, wherein the computer infrastructure is further operable to provide a route of the one or more sensors throughout the facility.

18. A system comprising:

a computer infrastructure; and

one or more sensors attached to a mobile device which is structured to move in x, y, and z dimensions within a facility, wherein

the one or more sensors are configured to collect environmental data at various locations in the x, y, and z dimensions within the facility;

the one or more sensors provide the environmental data at the various locations to the computer infrastructure;

the one or more sensors provide a time stamp with the environmental data to the computer infrastructure; and

the computer infrastructure is structured to correlate the location and time stamp information with a location of one or more wafer lots being processed throughout the facility.

19. The system of claim 18, wherein the one or more sensors are mounted to a wafer carrier mounted on a traveling vehicle.

20. The system of claim 19, wherein the computer infrastructure is structured to provide a 3D mapping of the environmental data collected by the one or more sensors, and use this 3D mapping to provide predictive analysis.