The method of the present invention is for monitoring water quality in a water system. An on-line method to capture water samples in real time when the water quality deteriorate or contaminates. More particularly, a particle sensor device senses or counts particles. This is the event that may trigger further analysis of the water.
The currently available water quality monitoring systems are quite ineffective since they often measure the water quality at predetermined time intervals such as several times a day, once a week or once in a month. This means the actual testing may occur long after pollutants and other undesirable particles are already in the water flow on their way to the consumers. One problem is that the timing of the testing is not directly correlated to the actual event of the occurrence of the undesirable particles in the water flow. Another problem is that various micro-organisms and bacteria are of about the same size as other harmless microscopic particles in the water which makes it difficult to filter out such microorganisms and bacteria. There is a need for a method that effectively monitors the water quality and automatically collects the desired sample volume for further analyze when water quality/cleanness deteriorates.
The method of the present invention provides a solution to the above-outlined problems. More particularly, the method of the present invention is designed so that the testing and analysis of the water quality is event driven based on a continuous sensing or particle count of the water. The system has an on-line automatic microprocessor based testing system that is associated with a refrigerator or another cooled space. Regarding the water system of the present invention, a water pipe is provided for conveying water therein. A particle sensor is in operative engagement with the water pipe. The particle sensor continuously counts particles and classified in different fractions according to their sizes or size distribution in the water of the water pipe. The particle sensor triggers a taking of a water sample only when a particle count reaches a predetermined level of any of particles size and concentration.
Undesirable particles in the water may include, for example, microorganisms, bacteria and parasites such as Cryptosporidium and Giardia or other organic contamination. The particles may also be indications of chemical and radioactive contamination. Bacteria are often in the range of 0.5-10 micrometers, Cryptosporidium 2-7 micrometers and Giardia particles are often in the range of 7-20 micrometers.
The diverting pipe 104 also has a first branch pipe 109 and a second branch pipe 111 connected thereto. The branch pipe 109 is in fluid communication with a flow regulator 113 and the branch pipe 111 is in direct communication with a cooled device or a refrigerator 108 that contains a plurality of containers 115 for storing water samples 126. The containers may store water from 0.1 liter to 100 liter. Of course, the containers may be used to store any suitable amount of water such as 1-2 liters.
In this way, it is possible to analyze water that has not passed through the particle sensor 106. A pipe 117 extends between the particle sensor 106 and the flow regulator 113. One function of the flow regulator is to more accurately set the flow of water by creating a water pillar to ensure that the correct amount of water enters the particle sensor 106 via the pipe 117. The regulator 113 may also be used to remove undesirable air bubbles from the water before the water enters the particle sensor 106. The mechanical flow controller can be replaced by an electronic flow controller.
An important feature of the present invention is the realization of the strong connection between the amount of microscopic particles and the quality of the water because many of the microscopic particles carry contaminants. The particle sensor 106 may be used to count particles both from water conveyed in the pipe 107 and water that has passed through the water regulator 113 and then through the pipe 117 and/or 119.
As indicated earlier, water may be diverted from the water pipe 102 via a second diverting pipe 119 and directly into the refrigerator 108. In this way, it is possible to analyze downstream water that has not passed through the particle sensor 106 and possibilities will be there to connect via the flow regulator 113. These water samples may then be compared to water samples that come from the particle sensor 106 via the pipe 129. As indicated earlier, the device 106 automatically produces water samples, for storage in the refrigerator, when the particle count reaches certain critical values.
The device 106 may count particles using a light scattering technique, light extinction technique or any other suitable technique for counting particles in flowing water. The device 106 may be set to register particles in the range of 0.1-500 micrometers, more preferably in the range of 0.5-100 micrometers. Preferably, the device 106 may classify the particles in the following size ranges: 0.5-1 micrometers, 1-2 micrometers, 2-7 micrometers, 7-20 micrometers and 20-100 micrometers. Of course, the device may be set to classify other suitable size ranges. Most preferably, the device 106 counts particles in the size range of 1-25 micrometers which includes most if not all bacteria and other microorganisms of particular interest for water quality monitoring.
A microprocessor 112, such as a programmable logic configuration (PLC) device, is in operative engagement with the counting device 106, the flow regulator 113, the diverting pipe 104 and the second diverting pipe 119 via signal connections 121, 123, 125 and 127, respectively, to open and close valves connected to the counting device 106, the flow regulator 113 and the water pipes 104, 119 of the water system 100. The microprocessor 112 is in communication with an operator 114 of the water monitoring system 100. The signal 125 may control valves 142, 144, 146, 148. The signal 127 may control the valve 150 of the second diverting pipe 119. The signals 121, 123 control the flow of water in the pipe 117. The microprocessor may store all the particle counts for further analysis.
In operation, the particle sensor 106 continuously counts particles 116 that flow in the water pipes.
When the particle count reaches a critical value over a time period, such as well over 50 particles/ml, an alert or water-testing signal 128 is triggered. In general, the particle count should not exceed 20%, or more preferably 10%, more than the normal base count of particles in the water flow. The particle sensor 106 automatically obtains a water sample 126 for further testing and analysis by the operator 114. The diverting pipe may be connected to a valve to divert water from the main water pipe 102 in order to obtain the water sample 126. The processor may be programmable to arrange for different testing volumes of water. The water samples 126 are preferably automatically kept in the refrigerator 108 to prevent further contamination. As indicated above, the microprocessor 112 activates valves so that a predetermined testing volume of the water sample flows into the containers 115 disposed in the refrigerator 108. The operator 114 may then analyze the water samples 126 in the containers 115. All the events are continuously logged in the processor and/or monitor and/or USB memory and/or flash card.
The alert signal 128 may also be sent to the operator 114 of the water plant. If the particle count reaches a crisis value then a crisis signal 130 may be sent to a crisis contact 132. However, to avoid unnecessary panic, the crisis signal 130 may only be sent after a water test of a sample confirms the very high contamination.
The water may be further analyzed by taking additional water samples such as at locations 134, 136, 138, 140 or any other suitable location. The operator may first do a quick analysis to check the water for cloudiness, color, chlorine, pH, transparency, conductivity, coliform, E-coli or any other suitable parameter. The operator may also check to make sure the rise in particle count is not the result of an internal problem within the water plant itself before an alarm signal is sent out externally.
As shown in
The particle sensor could be placed anywhere in the process where it is necessary to control the water quality. Another reason for placing the particle sensor in a suitable place is because bio-film may get loosened from the water pipes to contaminate the water. It is therefore very important to capture the water sample at that point.
With reference to
While the present invention has been described in accordance with preferred compositions and embodiments, it is to be understood that certain substitutions and alterations may be made thereto without departing from the spirit and scope of the following claims.
This application is a U.S. national phase application based on International Application No. PCT/US2006/060760, filed 10 Nov. 2006, claiming priority from U.S. Provisional Patent Application No. 60/736,343, filed 14 Nov. 2005.
Filing Document | Filing Date | Country | Kind | 371c Date |
---|---|---|---|---|
PCT/US2006/060760 | 11/10/2006 | WO | 00 | 4/11/2008 |
Publishing Document | Publishing Date | Country | Kind |
---|---|---|---|
WO2007/100390 | 9/7/2007 | WO | A |
Number | Name | Date | Kind |
---|---|---|---|
3233173 | Kleinschmidt et al. | Feb 1966 | A |
3710615 | Johnson et al. | Jan 1973 | A |
3719090 | Hathaway | Mar 1973 | A |
3816773 | Baldwin et al. | Jun 1974 | A |
3897687 | Burberry | Aug 1975 | A |
4015464 | Miller et al. | Apr 1977 | A |
4381674 | Abts | May 1983 | A |
4587518 | King | May 1986 | A |
4628748 | Jogan et al. | Dec 1986 | A |
4660422 | Eads et al. | Apr 1987 | A |
4674337 | Jonas | Jun 1987 | A |
4685066 | Hafele et al. | Aug 1987 | A |
4765963 | Mukogawa et al. | Aug 1988 | A |
5091863 | Hungerford et al. | Feb 1992 | A |
5299141 | Hungerford et al. | Mar 1994 | A |
5377005 | Meyer | Dec 1994 | A |
5435909 | Burrows | Jul 1995 | A |
5616870 | Bowen et al. | Apr 1997 | A |
5619333 | Staff et al. | Apr 1997 | A |
5646863 | Morton | Jul 1997 | A |
5668309 | Codina et al. | Sep 1997 | A |
5730942 | Megerle et al. | Mar 1998 | A |
5870692 | Millo | Feb 1999 | A |
6245224 | Enoki et al. | Jun 2001 | B1 |
6491872 | Wick | Dec 2002 | B1 |
6658876 | Richardson et al. | Dec 2003 | B1 |
6753186 | Moskoff | Jun 2004 | B2 |
6874355 | Kornfeldt et al. | Apr 2005 | B2 |
6925895 | Barker | Aug 2005 | B2 |
7002682 | Girvin et al. | Feb 2006 | B2 |
7024950 | Guldi et al. | Apr 2006 | B2 |
7293473 | Craig et al. | Nov 2007 | B2 |
20020062701 | Guldi et al. | May 2002 | A1 |
20020130069 | Moskoff | Sep 2002 | A1 |
20030061868 | Povey et al. | Apr 2003 | A1 |
20040165185 | Reintjes et al. | Aug 2004 | A1 |
20050016929 | Kashkoush | Jan 2005 | A1 |
20050109112 | Gysling et al. | May 2005 | A1 |
20060225522 | Craig et al. | Oct 2006 | A1 |
20070090059 | Plummer et al. | Apr 2007 | A1 |
20080087076 | Busch | Apr 2008 | A1 |
Number | Date | Country |
---|---|---|
2005022145 | Mar 2005 | WO |
2005022145 | Mar 2005 | WO |
2008243399 | Feb 2008 | WO |
Number | Date | Country | |
---|---|---|---|
20080289402 A1 | Nov 2008 | US |
Number | Date | Country | |
---|---|---|---|
60736343 | Nov 2005 | US |