CN101949914A - Controlled online multi-directional related test item grading monitoring method and system - Google Patents
Controlled online multi-directional related test item grading monitoring method and system Download PDFInfo
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Abstract
The invention relates to a controlled online multi-directional related test item grading monitoring method, which can be used for water flow quality-based discharge of surface water pipe networks of urban rivers, reservoirs, lakes and the like. Firstly, determining an online monitoring project through multi-directional related probability selection of an online testing project; and then, carrying out graded monitoring according to the determined online monitoring items to realize the water flow quality-based discharge control of the surface water pipe network. After the on-line monitoring items obtained by the invention are used for controlled on-line grading monitoring, all the other water quality items can be directly or indirectly ensured to be in a monitoring state (including items which need specific condition chemical reaction and long-time biological culture but cannot be monitored on line); has the advantages of reasonable and rapid monitoring and low cost; the possibility and the basis for converting the change of the water quality state into the execution instruction of the quality-based discharge of the pipe network water flow are provided, and the water quality change information can be transmitted to a management department as the subsequent water quality original monitoring data.
Description
Technical field
The present invention relates to the field of urban river, reservoir, the improvement of the dirty mixed flow pipe network of lake rain contaminated water flow, more particularly, relate to controlled online multidirectional dependence test project classified Monitoring method in the discharging of the dirty mixed flow pipe network of a kind of rain that can be used for surface water such as urban river, reservoir, lake current branch matter.
Background technology
The discharging of the dirty mixed flow pipe network of city rain current branch matter is that a kind of municipal effluent that prevents pollutes the effective ways in urban river, reservoir, lake.When this pipe network water flowing water matter meets the management in urban river, reservoir, lake and profile, be discharged into river, reservoir, lake, otherwise it is entered sewage disposal plant, at first need carry out the on-line monitoring of water quality for this reason at each floss hole of pipe network, obtain the current water quality project testing numerical value of current.
At present, limit urban river, reservoir, the management in lake and the water quality project of profile and have 24.Wherein be no lack of just like total phosphorus, BOD etc. and need carry out chemical reaction under given conditions or need five day to test the project that just can obtain numerical value after the time biological culture.So just cause very big difficulty to on-line monitoring.For river, reservoir, lake, the most projects in 24 profiles controlling, the testing laboratory that can only be sent to the monitoring station after the sampling of discharging waters tests; Because this process length consuming time, the test result of gained has lost meaning for a minute matter discharging, can not carry out by water quality condition management discharging according to this test result.
Utilize physical method to improve the test speed of instrument, make end item (for example COD, ammonia nitrogen) in 5 minutes, obtain test result, but the fast measuring that will solve most of project also not can accomplish in short-term; To each project all monitor very consuming time, cost is high, is unfavorable for practical application.
Summary of the invention
The technical problem to be solved in the present invention is, at prior art can't to control water quality all items all carry out on-line monitoring, thereby the also problem that can't control in real time provides the controlled online multidirectional dependence test project classified Monitoring method and system in a kind of current branch matter discharging that can be used for the surface water pipe network.
The technical solution adopted for the present invention to solve the technical problems is: a kind of controlled online multidirectional dependence test project classified Monitoring method is provided, be used for the current branch matter discharging of surface water pipe network, may further comprise the steps: A: the multidirectional dependent probability by the on-line testing project is selected, determine monitoring project, this step may further comprise the steps:
A1:, be high exceeding standard rate project and low exceeding standard rate project with the classification of the items of the water quality primary monitoring data of described pipe network according to the exceeding standard rate of water quality monitoring project;
A2: judge the correlativity between each described high exceeding standard rate project and other the described high exceeding standard rate projects, draw the multidirectional relevant high exceeding standard rate project that has good correlation with a plurality of described high exceeding standard rate projects;
A3: utilize conditional probability, draw each described multidirectional relevant high exceeding standard rate project and do not exceed standard under the condition, the probability that do not exceed standard that other described high exceeding standard rate projects also do not exceed standard obtains big event according to the described probability that do not exceed standard;
A4: in described big event, when being chosen in it and not exceeding standard, other described high exceeding standard rate projects reach the maximum or inferior many one or more described big events of 100% number that does not exceed standard, and form the on-line monitoring project.
In described steps A 4 of the present invention, with two or more described big events is one group, when calculating this group big event and not exceeding standard simultaneously, the probability that all the other each described high exceeding standard rate projects also do not exceed standard, selection can make described high exceeding standard rate project reach the maximum big event combination of 100% number that does not exceed standard, be first-selected monitoring project, and select to come time many another and organize described big event and be combined as second and selected monitoring project, the rest may be inferred, obtains reflecting that the big event combination of overall water quality is as the on-line monitoring project.
In described method of the present invention, described low exceeding standard rate project is the water quality project of exceeding standard rate≤10% in this surface water pipe network waters current water quality project; Other water quality projects are described high exceeding standard rate project.
Described steps A 2 of the present invention may further comprise the steps:
A2-1: according to the permutation and combination principle described high exceeding standard rate project is carried out simple regression and calculate, determine the correlativity equation and the relative coefficient of its match the best respectively;
A2-2: in described correlativity equation and relative coefficient, when certain high exceeding standard rate project have with other water quality projects more than three 〉=when 90% confidence level is relevant, should high exceeding standard rate project be defined as multidirectional relevant high exceeding standard rate project.
In described steps A 3 of the present invention, may further comprise the steps:
A3-1: judge when determining that each described multidirectional relevant high exceeding standard rate project 100% does not exceed standard the or not number of times and the probability that do not exceed standard of other high exceeding standard rate project respectively;
A3-2: select when described a certain multidirectional relevant item 100% does not exceed standard, can make the probability that do not exceed standard of three or three the above high exceeding standard rate projects also reach 100% multidirectional relevant high exceeding standard rate project;
S3-3: in the described multidirectional relevant high exceeding standard rate project of selecting, rejecting must be carried out chemical reaction under given conditions maybe needs to carry out long-time biological culture, can't carry out the project of on-line monitoring; Rejecting the remaining multidirectional relevant high exceeding standard rate project in back is described big event.
Described method of the present invention also comprises step B: the classified Monitoring step may further comprise the steps:
B1: increasing conductivity in described on-line monitoring project is monitoring project;
B2:, described on-line monitoring project is divided into some priority according to test speed and multidirectional degree of correlation;
B3: according to the monitoring result of the on-line monitoring project of a last priority, send the control signal of the on-line monitoring project monitoring that starts or stops next priority, the monitoring equipment of controlling next priority starts or stops.
In step B2 of the present invention, fast, the multidirectional degree of correlation of test speed on-line monitoring project high and mode sampling and testing that can be by imbedding the basin water channel has higher priority; And slow, the multidirectional degree of correlation of test speed is low and the on-line monitoring project that need extract water sample test from the water channel of basin has lower priority.
May further comprise the steps at described step B3 of the present invention:
B3-1: when the equal conformance with standard of all monitoring results of the on-line monitoring project of same priority, start next priority monitoring equipment the on-line monitoring project of next priority is monitored;
B3-2: when the monitoring result of arbitrary on-line monitoring project of same priority does not meet standard, stop or not starting next priority monitoring equipment.
Step B3 of the present invention is further comprising the steps of:
B3-3: when the monitoring result of arbitrary on-line monitoring project of any priority does not meet standard, stop the monitoring of the on-line monitoring project of all priority except the monitoring of limit priority.
Also a kind of controlled online multidirectional dependence test project classified Monitoring of the present invention system comprises
Data reception module is used to insert primary monitoring data;
Exceeding standard rate comparison-of-pair sorting's module is used for described primary monitoring data and GB relatively, according to the exceeding standard rate of water quality monitoring project, is high exceeding standard rate project and low exceeding standard rate project with the classification of the items of described primary monitoring data;
The correlation analysis module is used to judge the correlativity between described high exceeding standard rate project and other the high exceeding standard rate projects, draws the multidirectional relevant high exceeding standard rate project that has good correlation with a plurality of described high exceeding standard rate projects;
The conditional probability analysis module is used for not exceeding standard under the condition according to described multidirectional relevant high exceeding standard rate project, and the probability that do not exceed standard that other described high exceeding standard rate projects also do not exceed standard obtains big event;
On-line monitoring project choice module, when being used to be chosen in it and not exceeding standard, other described high exceeding standard rate projects reach the maximum or inferior many one or more described big events of 100% number that does not exceed standard, and form the on-line monitoring project;
Diversity module is used for according to test speed and multidirectional degree of correlation described on-line monitoring project being divided into some priority;
The Monitoring and Controlling module, be used for according to described priority, according to the monitoring result of the on-line monitoring project of a last priority, send the control signal of the on-line monitoring project monitoring that starts or stops next priority, the monitoring equipment of controlling next priority starts or stops.
Implement the present invention and have following beneficial effect: after the on-line monitoring project of using the present invention to draw is carried out controlled online classified Monitoring, can guarantee directly or indirectly that all the other each water quality projects can both be in the state of monitoring (comprise and need the specified conditions chemical reaction can not carry out the project of on-line monitoring with long-time biological culture); Can immediately be converted into the variation of water quality condition the execution command of the dirty mixed flow pipe network of rain current branch matter discharging, have the advantage that monitoring is reasonable, quick, cost is low.Further, also can immediately change of water quality information be sent to administrative authority, as follow-up water quality primary monitoring data.
Description of drawings
The invention will be further described below in conjunction with drawings and Examples, in the accompanying drawing:
Fig. 1 is the synoptic diagram that is applied to the tables of data of primary monitoring data of the present invention;
Fig. 2 is the synoptic diagram of the exceeding standard rate of controlled online multidirectional dependence test project classified Monitoring method of the present invention;
Fig. 3 is the synoptic diagram of the relative coefficient relation of controlled online multidirectional dependence test project classified Monitoring method of the present invention;
Fig. 4 is the schematic flow sheet of classified Monitoring of three grades of monitoring systems of controlled online multidirectional dependence test project classified Monitoring method of the present invention;
Fig. 5 is the schematic block diagram of controlled online multidirectional dependence test project hierarchy system of the present invention.
Embodiment
As shown in Figure 1, be the embodiment of controlled online multidirectional dependence test project classified Monitoring method of the present invention, can be used in the current branch matter discharging of surface water pipe networks such as urban river, reservoir, lake.This method is at first selected by the multidirectional dependent probability of on-line testing project, determines the on-line monitoring project; Then, carry out classified Monitoring, realize dividing the matter emission control the current of face of land grid according to the on-line monitoring project of determining.
When selecting to determine the on-line monitoring project, carry out following steps by the multidirectional dependent probability of on-line testing project:
S1:, the projects in the pipe network region current water quality primary monitoring data in recent years are categorized as high exceeding standard rate project and low exceeding standard rate project according to the exceeding standard rate of water quality monitoring project.
Primary monitoring data is as shown in Figure 1 in recent years for this regional water quality, wherein, the Monitoring Data of listed same group (same delegation) should be the raw data of 24 projects of same sampling spot same sample time of institute's water sampling test, its sampling should be no less than ten groups every year, and be distributed in Various Seasonal, total group number n should be greater than 20, to obtain comparatively comprehensively water monitoring data of this zone.
Raw data and GB GB3838-2002 (certainly selecting other standards as required for use) regulation by above monitoring compare, and obtain the exceeding standard rate of projects, and one of them example as shown in Figure 2.With the water quality project of exceeding standard rate≤10% in the water quality project as low exceeding standard rate project; And other water quality projects are carried out emphasis and are considered monitoring target as high exceeding standard rate project.Certainly, the setting range of exceeding standard rate differ be decided to be≤10%, can be provided with according to the monitoring water quality demand of reality.
S2: judge the correlativity between each high exceeding standard rate project and other the high exceeding standard rate projects, draw the multidirectional relevant high exceeding standard rate project that has good correlation with a plurality of high exceeding standard rate projects.Can carry out simple regression to high exceeding standard rate project according to the permutation and combination principle and calculate, determine the correlativity equation and the relative coefficient of its match the best respectively; Then, in the correlativity equation, when certain high exceeding standard rate project have with other water quality projects more than three 〉=when 90% confidence level is relevant, should high exceeding standard rate project be defined as multidirectional relevant high exceeding standard rate project.
As shown in Figure 3, be that resulting related coefficient tabulation is carried out in the original water quality data employing simple regression calculating of n group monitoring.I=1 among the figure, 2,3......m.When have in m-1 the related coefficient between a certain project and other high exceeding standard rate project 〉=confidence level of 3 related coefficients reaches 〉=90% the time, this project is defined as multidirectional relevant high exceeding standard rate project.
S3: utilize conditional probability, respectively, ground of corresponding period calculates, draw each multidirectional relevant high exceeding standard rate project and do not exceed standard under the condition, the probability that do not exceed standard that other described high exceeding standard rate projects also do not exceed standard obtains big event according to the probability that do not exceed standard.At first, judge when determining that each multidirectional relevant high exceeding standard rate project 100% does not exceed standard the or not number of times and the probability that do not exceed standard of other high exceeding standard rate project respectively; Then, select when a certain multidirectional relevant item 100% does not exceed standard, can make the probability that do not exceed standard of high exceeding standard rate project more than three or three also reach 100% or the multidirectional relevant high exceeding standard rate project that is significantly improved; Then, in the multidirectional relevant high exceeding standard rate project of selecting, rejecting must be carried out chemical reaction under given conditions maybe needs to carry out long-time biological culture, can't carry out the project of on-line monitoring; Be defined as big event rejecting the remaining multidirectional relevant high exceeding standard rate project in back.Wherein, being significantly improved is meant that certain high exceeding standard rate project brings up to more than 80% from original not exceeding standard rate, or increases exponentially.
S4: in above-mentioned big event, when being chosen in it and not exceeding standard, other high exceeding standard rate projects reach the maximum or inferior many one or more big events of 100% number that does not exceed standard, and form the on-line monitoring project.Concrete, with two or more big events is one group, calculating this group big event makes up when not exceeding standard simultaneously, the probability that all the other each high exceeding standard rate projects also do not exceed standard, selection can make high exceeding standard rate project reach the combination of the maximum big event of 100% number that does not exceed standard, and is first-selected monitoring project, and selects to come time another many group big event and be combined as second and selected monitoring project, the rest may be inferred, obtains reflecting that the big event combination of overall water quality is as the on-line monitoring project.It is in the monitoring state so just to guarantee directly or indirectly that maximum water quality projects is arranged.
S5: outside first-selected monitoring project and second was selected monitoring project etc., also increasing conductivity in the on-line monitoring project was monitoring project.Though conductivity does not belong to the water quality monitoring and the administrative standard project of GB regulation, conductivity can more synthetically reflect the pollution situation of water quality soon, can significantly improve on-line monitoring efficient, can more in time promptly reflect the overall variation of water quality.
S6:, above-mentioned definite on-line monitoring project is divided into some priority according to test speed and multidirectional degree of correlation.With fast, the multidirectional degree of correlation height of test speed (promptly comparatively can concentrated expression water quality condition), and the on-line monitoring project (as conductivity, pH value etc.) of mode sampling and testing that can be by imbedding the basin water channel be decided to be and have higher priority (as the one-level monitoring project); And test speed slow (being that observation process is consuming time longer), multidirectional degree of correlation is low, testing tool is expensive, and need extract on-line monitoring project (as ammonia nitrogen, COD etc.) that water sample tests be decided to be and have lower priority (as the secondary monitoring project) from the water channel of basin; The rest may be inferred, defines lower priority (as monitoring projects such as three grades, level Four).
Further, can set higherly for the test frequency of the on-line monitoring project of higher priority, for example test once second every 3-10; And can set lowlyer for the test frequency of the on-line monitoring project of lower priority, for example test one inferior every 5 minutes or longer time.
Further, in order to ensure reliable and stable, export as monitoring result with the mean value of 3-5 time monitoring result.
In addition, the sampling mode of monitoring equipment can be configured according to the monitoring method of this equipment, for example for main dependence physical method and do not require sample is carried out strict the processing, adopts the mode sampling and testing of imbedding the basin water channel; From water channel, extract the mode of water sample as required and take a sample for handling the employing that maybe needs to carry out chemical reaction sample.Understandable, the test event that adopts the mode imbed the basin water channel to take a sample has higher priority; And the test event of taking a sample for the mode that extracts water sample as required from water channel has lower priority.
S7: according to the monitoring result of the on-line monitoring project of a last priority, send the control signal of the monitoring of the on-line monitoring project that starts or stops next priority, the monitoring equipment of controlling next priority starts or stops.When the equal conformance with standard of monitoring result of all on-line monitoring projects of same priority, start next priority monitoring equipment the on-line monitoring project of next priority is monitored.And when the monitoring result of arbitrary on-line monitoring project of same priority does not meet standard, stop or not starting next priority monitoring equipment.
Further, when the monitoring result of arbitrary on-line monitoring project of any priority does not meet standard, stop the monitoring of the on-line monitoring project of all priority except the monitoring of limit priority.
As shown in Figure 4, be the schematic flow sheet of the classified Monitoring of three grades of monitoring systems.At first, make the timing of one-level monitoring project, high frequency ground monitor continuously; And,, export as monitoring result with the mean value of 3-5 monitoring result in order to ensure reliable and stable; With the monitoring result of each on-line monitoring project,, compare then with GB water quality monitoring administrative standard as conductivity, pH value etc.; When any monitoring result does not meet standard, close or do not start secondary, three grades of monitorings.
When the equal conformance with standard of all monitoring results, start the secondary monitoring of low-frequency degree work, secondary is monitored all projects monitor, as COD, ammonia nitrogen etc.; When any monitoring result does not meet standard, close or do not start three grades of monitorings.
When the equal conformance with standard of all secondary monitoring results, start three grades of monitorings of more low-frequency degree work, three grades of on-line monitoring projects are monitored.
As shown in Figure 5, be the controlled online multidirectional dependence test project classified Monitoring system of the above method of execution of the present invention, comprise data reception module 11, exceeding standard rate comparison-of-pair sorting's module 12, correlation analysis module 13, conditional probability analysis module 14, on-line monitoring project choice module 15, diversity module 16, Monitoring and Controlling module 17.
This data reception module 11 is used to insert the water quality primary monitoring data in recent years that needs the monitored area, and data are sent to exceeding standard rate comparison-of-pair sorting module 12.
The primary monitoring data in recent years that this exceeding standard rate comparison-of-pair sorting module 12 will receive and GB relatively obtain the exceeding standard rate of projects, and are high exceeding standard rate project and low exceeding standard rate project according to exceeding standard rate with the classification of the items of primary monitoring data.And sorted high exceeding standard rate project and low exceeding standard rate project information be sent to correlation analysis module 13.
The correlativity that this correlation analysis module 13 is judged between each high exceeding standard rate project and other the high exceeding standard rate projects, for example according to the permutation and combination principle high exceeding standard rate project being carried out simple regression calculates, determine the correlativity equation and the relative coefficient of its match the best respectively, when certain high exceeding standard rate project have with other water quality projects more than three 〉=when 90% confidence level is relevant, should high exceeding standard rate project be defined as multidirectional relevant high exceeding standard rate project.Then, the multidirectional relevant high exceeding standard rate project that obtains is sent to conditional probability analysis module 14.
This conditional probability analysis module 14 does not exceed standard under the condition according to multidirectional relevant high exceeding standard rate project, and the probability that do not exceed standard that other high exceeding standard rate projects also do not exceed standard obtains big event.The big event that obtains is sent to on-line monitoring project choice module 15.
When this on-line monitoring project choice module 15 was chosen in it and does not exceed standard, other high exceeding standard rate projects reached the maximum or inferior many one or more big events of 100% number that does not exceed standard, and form the on-line monitoring project.The on-line monitoring project that obtains is sent to diversity module 16.
This diversity module 16 is divided into some priority according to test speed and multidirectional degree of correlation with the on-line monitoring project.By Monitoring and Controlling module 17, according to priority,, send the control signal of the on-line monitoring project monitoring that starts or stops next priority according to the monitoring result of the on-line monitoring project of a last priority, the monitoring equipment of controlling next priority starts or stops.
Claims (10)
1. controlled online multidirectional dependence test project classified Monitoring method, be used for the current branch matter discharging of surface water pipe network, it is characterized in that, may further comprise the steps: A: the multidirectional dependent probability by the on-line testing project is selected, determine monitoring project, this step may further comprise the steps:
A1:, be high exceeding standard rate project and low exceeding standard rate project with the classification of the items of the water quality primary monitoring data of described pipe network according to the exceeding standard rate of water quality monitoring project;
A2: judge the correlativity between each described high exceeding standard rate project and other the described high exceeding standard rate projects, draw the multidirectional relevant high exceeding standard rate project that has good correlation with a plurality of described high exceeding standard rate projects;
A3: utilize conditional probability, draw each described multidirectional relevant high exceeding standard rate project and do not exceed standard under the condition, the probability that do not exceed standard that other described high exceeding standard rate projects also do not exceed standard obtains big event according to the described probability that do not exceed standard;
A4: in described big event, when being chosen in it and not exceeding standard, other described high exceeding standard rate projects reach the maximum or inferior many one or more described big events of 100% number that does not exceed standard, and form the on-line monitoring project.
2. method according to claim 1, it is characterized in that, in described steps A 4, with two or more described big events is one group, when calculating this group big event and not exceeding standard simultaneously, the probability that all the other each described high exceeding standard rate projects also do not exceed standard, selection can make described high exceeding standard rate project reach the maximum big event combination of 100% number that does not exceed standard, be first-selected monitoring project, and select to come time many another and organize described big event and be combined as second and selected monitoring project, the rest may be inferred, obtains reflecting that the big event combination of overall water quality is as the on-line monitoring project.
3. method according to claim 2 is characterized in that, described low exceeding standard rate project is the water quality project of exceeding standard rate≤10% in this surface water pipe network waters current water quality project; Other water quality projects are described high exceeding standard rate project.
4. method according to claim 3 is characterized in that, described steps A 2 may further comprise the steps:
A2-1: according to the permutation and combination principle described high exceeding standard rate project is carried out simple regression and calculate, determine the correlativity equation and the relative coefficient of its match the best respectively;
A2-2: in described correlativity equation and relative coefficient, when certain high exceeding standard rate project have with other water quality projects more than three 〉=when 90% confidence level is relevant, should high exceeding standard rate project be defined as multidirectional relevant high exceeding standard rate project.
5. method according to claim 1 is characterized in that, in described steps A 3, may further comprise the steps:
A3-1: judge when determining that each described multidirectional relevant high exceeding standard rate project 100% does not exceed standard the or not number of times and the probability that do not exceed standard of other high exceeding standard rate project respectively;
A3-2: select when described a certain multidirectional relevant item 100% does not exceed standard, can make the probability that do not exceed standard of three or three the above high exceeding standard rate projects also reach 100% multidirectional relevant high exceeding standard rate project;
S3-3: in the described multidirectional relevant high exceeding standard rate project of selecting, rejecting must be carried out chemical reaction under given conditions maybe needs to carry out long-time biological culture, can't carry out the project of on-line monitoring; Rejecting the remaining multidirectional relevant high exceeding standard rate project in back is described big event.
6. method according to claim 2 is characterized in that, described method also comprises step B: the classified Monitoring step may further comprise the steps:
B1: increasing conductivity in described on-line monitoring project is monitoring project;
B2:, described on-line monitoring project is divided into some priority according to test speed and multidirectional degree of correlation;
B3: according to the monitoring result of the on-line monitoring project of a last priority, send the control signal of the on-line monitoring project monitoring that starts or stops next priority, the monitoring equipment of controlling next priority starts or stops.
7. method according to claim 6 is characterized in that, in described step B2, fast, the multidirectional degree of correlation of test speed on-line monitoring project high and mode sampling and testing that can be by imbedding the basin water channel has higher priority; And slow, the multidirectional degree of correlation of test speed is low and the on-line monitoring project that need extract water sample test from the water channel of basin has lower priority.
8. method according to claim 7 is characterized in that, may further comprise the steps at described step B3:
B3-1: when the equal conformance with standard of all monitoring results of the on-line monitoring project of same priority, start next priority monitoring equipment the on-line monitoring project of next priority is monitored;
B3-2: when the monitoring result of arbitrary on-line monitoring project of same priority does not meet standard, stop or not starting next priority monitoring equipment.
9. method according to claim 8 is characterized in that, described step B3 is further comprising the steps of:
B3-3: when the monitoring result of arbitrary on-line monitoring project of any priority does not meet standard, stop the monitoring of the on-line monitoring project of all priority except the monitoring of limit priority.
10. a controlled online multidirectional dependence test project classified Monitoring system is characterized in that, comprises
Data reception module is used to insert primary monitoring data;
Exceeding standard rate comparison-of-pair sorting's module is used for described primary monitoring data and GB relatively, according to the exceeding standard rate of water quality monitoring project, is high exceeding standard rate project and low exceeding standard rate project with the classification of the items of described primary monitoring data;
The correlation analysis module is used to judge the correlativity between described high exceeding standard rate project and other the high exceeding standard rate projects, draws the multidirectional relevant high exceeding standard rate project that has good correlation with a plurality of described high exceeding standard rate projects;
The conditional probability analysis module is used for not exceeding standard under the condition according to described multidirectional relevant high exceeding standard rate project, and the probability that do not exceed standard that other described high exceeding standard rate projects also do not exceed standard obtains big event;
On-line monitoring project choice module, when being used to be chosen in it and not exceeding standard, other described high exceeding standard rate projects reach the maximum or inferior many one or more described big events of 100% number that does not exceed standard, and form the on-line monitoring project;
Diversity module is used for according to test speed and multidirectional degree of correlation described on-line monitoring project being divided into some priority;
The Monitoring and Controlling module, be used for according to described priority, according to the monitoring result of the on-line monitoring project of a last priority, send the control signal of the on-line monitoring project monitoring that starts or stops next priority, the monitoring equipment of controlling next priority starts or stops.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102535628A (en) * | 2012-02-13 | 2012-07-04 | 深圳市兰德玛水环境工程科技有限公司 | One-machine multi-point surface water online monitoring, identifying and quality-based discharging system and method |
| CN104897867A (en) * | 2015-06-01 | 2015-09-09 | 上海交通大学 | Method for monitoring water quality of ecological village |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE19824609A1 (en) * | 1998-06-02 | 1999-12-16 | Wolfram Weis | Method for monitoring contents fluid and gaseous and paste type fluids and for online exchange of data with data station |
| CN201110857Y (en) * | 2007-10-29 | 2008-09-03 | 于明 | Water source on-line monitoring early-warning system |
| CN201222059Y (en) * | 2008-06-20 | 2009-04-15 | 东莞市凌峰信息科技有限公司 | Remote wireless multi-point detection system for water quality |
-
2009
- 2009-10-28 CN CN200910110351.7A patent/CN101949914B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE19824609A1 (en) * | 1998-06-02 | 1999-12-16 | Wolfram Weis | Method for monitoring contents fluid and gaseous and paste type fluids and for online exchange of data with data station |
| CN201110857Y (en) * | 2007-10-29 | 2008-09-03 | 于明 | Water source on-line monitoring early-warning system |
| CN201222059Y (en) * | 2008-06-20 | 2009-04-15 | 东莞市凌峰信息科技有限公司 | Remote wireless multi-point detection system for water quality |
Non-Patent Citations (1)
| Title |
|---|
| 徐建平等: "地表水环境质量评价数据有效性探讨", 《中国环境监测》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102535628A (en) * | 2012-02-13 | 2012-07-04 | 深圳市兰德玛水环境工程科技有限公司 | One-machine multi-point surface water online monitoring, identifying and quality-based discharging system and method |
| CN102535628B (en) * | 2012-02-13 | 2013-10-16 | 深圳市兰德玛水环境工程科技有限公司 | One-machine multi-point surface water online monitoring, identifying and quality-based discharging system and method |
| CN104897867A (en) * | 2015-06-01 | 2015-09-09 | 上海交通大学 | Method for monitoring water quality of ecological village |
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| CN101949914B (en) | 2013-01-09 |
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