This invention relates generally to an environmental monitoring system (EMS) for clean room operation and contamination control, and more particularly to a system that automatically integrates a wide variety of environmental sensors of different types.
It is well known to use sensors to monitor the environmental conditions in clean rooms that are used to make, for example, semiconductor devices. Numerous environmental conditions must be maintained, and therefore monitored, to ensure certain clean room specifications are met. Examples of such environmental conditions include temperature, relative humidity, air velocity, differential pressure between clean room areas, airborne particle counts, etc.
Clean room environmental sensors serve several purposes: to create a record of the clean room conditions, to sound an alarm should any environmental parameter fall outside a specified range, and to provide feedback for the systems used to maintain the desired clean room conditions. Typically, a large number of such sensors are used in any given clean room environment, especially if a dozen or more sensors are used to monitor mini-environments at various locations within the clean room. Each such sensor requires it own power source, user interface, and separately configured control device that determines and allows the user to adjust the sensor's operating parameters (e.g. output range scale, set points, calibration, sampling interval, high/low alarm limits, etc.). Thus, installation, configuration and operation of multiple sensor systems can be complicated, time consuming, expensive and redundant.
There is a need for a centralized environmental monitor system that is compatible with and can automatically configure and control a number of sensors and sensor types.
The present invention solves the aforementioned problems by providing an environmental monitoring system that automatically detects and performs all necessary setup and configuration steps when a sensor is plugged into any of the sensor ports. Operation and monitoring of multiple sensors is performed using a single control device.
Broadly stated, the invention is directed to an environmental monitoring system, including a plurality of sensors, a plurality of sensor modules each electrically connected to one of the plurality of sensors for generating a ID signal that uniquely identifies the one sensor electrically connected thereto, a plurality of first electrical connectors each electrically connected to one of the sensor modules and a central monitoring unit that includes a plurality of second electrical connectors for connection with the first electrical connectors, a CPU for receiving the ID signals via the first and second electrical connectors for identifying each of the sensors in response to the received ID signals and for configuring operating parameters for each of the identified sensors, and a storage medium for storing sensor data corresponding to the sensor signals.
Other elements of the monitoring system can include a power supply for supplying operating power to the sensors via the plurality of first and second electrical connectors, at least one input/output module connected between the second electrical connectors and the CPU for communicating the sensor signals and ID signals received from the sensors and sensor modules to the CPU, at least some of the sensor signals being analog and others of the sensor signals being digital, and calibration ports for the sensor modules for transmitting calibration signals to and from the sensor connected thereto.
Other objects and features of the present invention will become apparent by a review of the specification, claims and appended figures.
The present invention is an integrated, stand-alone clean room environmental monitoring system that integrates sensor configuration, operation and control using a single central unit that provides plug-and-play support for different types of sensors.
The monitoring system of the present invention is shown in
The central unit 10 is better shown in
Visual display 22 and input keys 24, which allow the user to view and manipulate the operation of the monitoring system, can be separate elements as shown in
Each of the environmental sensors 14 is connected to one of the external connectors 34 of the central unit 10 via a sensor module 12 as shown in FIG. 3. Each sensor module 12 includes a sensor port 36, an identification (ID) circuit 38, and a module port 40. Sensors 14 can be any conventional sensor device that measures an environmental parameter, such as air flow, humidity, differential pressure, temperature, airborne particle count, etc. Each such sensor 14 includes its own standard sensor cable 42 and terminal connector 44 thereon that connects to a compatible sensor port 36. Different sensors 14 may have different types of terminal connectors 44, and thus the sensor module associated therewith must have a sensor port 36 that is compatible with that terminal connector. A module cable 46 connects between the module 12 and central unit 10, with a first terminal connector 48 at one end that connects with module port 40 and a second terminal connector 50 that connects with one of the external connectors 34. As explained further below, module cable 46 transmits power to the sensor 12 and sensor module 14, and transmits ID information and sensor data to the central unit 10. Calibration ports 41 can be included in sensor module 12 for those sensors that can be or need to be calibrated remotely, where a calibration signal is applied to the sensor, and a calibration return voltage is then measured to ensure proper calibration.
The present invention utilizes smart sensor technology whereby the system automatically identifies and configures sensors that are plugged into external connectors 34. Specifically, once a sensor 14 and sensor module 12 are connected to the central unit 10 as shown in
Once all the environmental sensors are connected to the central unit 10 via external connectors 34, the system continuously monitors the output from these sensors and records the data therefrom on the storage medium 26. The central unit 10 utilizes Ethernet and software protocols for component communication. A PC or network can be connected to the central unit via an Ethernet port 52 for remote monitoring and/or control, as well as for downloading the recorded data from the storage medium 26. The user can operate and monitor all of the sensors, and can set/modify operating parameters (such as alarm limits and warning levels) for each of the sensors, using a single display 22 and set of input keys 24.
It is desirable to make all the of the second terminal connectors 50 and external connectors 34 the same compatible type, such as CAT 5 or DB9, so that any sensor equipped with a sensor module 12 can be plugged into any of the external connectors 34 in a play-and-plug fashion.
The I/O modules 32 contain the appropriate circuitry (e.g. A/D and D/A converters, voltage supplies, etc.) to allow the CPU 20 to communicate with and operate the sensors identified as being connected to central unit 10. Some clean rooms may utilize some sensors requiring an analog communications protocol (i.e. an analog I/O module 32), and other sensors requiring a digital communications protocol (i.e. a digital I/O module 32). In such a case, some of the I/O modules 32 and the external connectors 34 connected thereto are dedicated to only digital sensors, while the remaining I/O modules 32 and external connectors 34 are dedicated to analog sensors. Connectors 34/50 should then be keyed, labeled, modified or be of a different type to prevent analog sensors from being plugged into digital I/O modules, and vice versa.
If sensor port 36 and terminal connector 44, and/or module port 40 and first terminal connector 48, provide removable electrical connections, it is important to ensure that the type of sensor connected to the sensor module 12 matches the ID circuit 38 in that module so that the sensor is not improperly identified to the central unit 10. Improper identification can be avoided by labeling or keying these connections. Alternately, these connections can be hardwired, non-removable connections (where connectors 44 and 48 are simply hardwired electrical connections).
Module 12 can be located anywhere between terminal connector 50 and sensor 14. In fact, sensor module 12 can be integrally formed within the housing of connector 50 or sensor 14. For example,
Some of the sensors contemplated for use with the present invention include solid state air velocity sensors, capacitive sensing differential pressure sensor, thin film capacitor relative humidity sensors, and platinum RTD temperature sensors. Because all the sensors plugged into central unit 10 are automatically identified, the CPU can also detect the absence of a particular sensor or sensor type.
The present invention provides a single central monitoring unit that automatically supplies all the power needed to operate the sensor devices in the clean room, identifies sensors that are connected to the system, configures appropriate operating parameters without operator intervention, and provides centralized simultaneous control, monitoring and recordation for the plurality of sensors and the data provided thereby. The CPU 20 generates the appropriate display of the data from the sensors on the visual display 22.
It is to be understood that the present invention is not limited to the embodiment(s) described above and illustrated herein, but encompasses any and all variations falling within the scope of the appended claims. For example, while
This application claims the benefit of U.S. Provisional Application No. 60/300,590, filed Jun. 22, 2001, and entitled Environmental Monitoring System with Smart Sensors.
Number | Name | Date | Kind |
---|---|---|---|
3653253 | Olin | Apr 1972 | A |
4298860 | Norberg et al. | Nov 1981 | A |
4527953 | Baker et al. | Jul 1985 | A |
4569235 | Conkle et al. | Feb 1986 | A |
4682993 | Todd et al. | Jul 1987 | A |
4909090 | McGown et al. | Mar 1990 | A |
4941105 | Marangoni | Jul 1990 | A |
4962368 | Dobrzanski et al. | Oct 1990 | A |
5125480 | Gregory et al. | Jun 1992 | A |
5248933 | Venditti | Sep 1993 | A |
5253538 | Swick et al. | Oct 1993 | A |
5404762 | Rodgers et al. | Apr 1995 | A |
5440301 | Evans | Aug 1995 | A |
5501113 | Harrison et al. | Mar 1996 | A |
5526576 | Fuchs et al. | Jun 1996 | A |
5591974 | Troyer et al. | Jan 1997 | A |
5642284 | Parupalli et al. | Jun 1997 | A |
5872512 | Kackman et al. | Feb 1999 | A |
5878377 | Hamilton et al. | Mar 1999 | A |
5892690 | Boatman et al. | Apr 1999 | A |
5920392 | Tsai et al. | Jul 1999 | A |
5925825 | Cochimin | Jul 1999 | A |
5930744 | Koch et al. | Jul 1999 | A |
5939647 | Chinn et al. | Aug 1999 | A |
5940784 | El-Husayni | Aug 1999 | A |
5949001 | Willeke | Sep 1999 | A |
5974868 | Decain et al. | Nov 1999 | A |
6055480 | Nevo et al. | Apr 2000 | A |
6073036 | Heikkinen et al. | Jun 2000 | A |
6076392 | Drzewiecki | Jun 2000 | A |
6103534 | Stenger et al. | Aug 2000 | A |
6167107 | Bates | Dec 2000 | A |
6405135 | Adriany et al. | Jun 2002 | B1 |
6460005 | Chang | Oct 2002 | B1 |
6473660 | Thibault | Oct 2002 | B1 |
6525658 | Streetman et al. | Feb 2003 | B2 |
6529591 | Dosani et al. | Mar 2003 | B1 |
6583720 | Quigley | Jun 2003 | B1 |
6661345 | Bevan et al. | Dec 2003 | B1 |
20020116155 | Mayer et al. | Aug 2002 | A1 |
Number | Date | Country |
---|---|---|
0 388 993 | Sep 1990 | EP |
1-245131 | Sep 1989 | JP |
11-226017 | Aug 1999 | JP |
Number | Date | Country | |
---|---|---|---|
20030016128 A1 | Jan 2003 | US |
Number | Date | Country | |
---|---|---|---|
60300590 | Jun 2001 | US |