CN1538177A - Coagulating process flocculate detection method based on image processing technology and optimization control system - Google Patents
Coagulating process flocculate detection method based on image processing technology and optimization control system Download PDFInfo
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- CN1538177A CN1538177A CNA031380484A CN03138048A CN1538177A CN 1538177 A CN1538177 A CN 1538177A CN A031380484 A CNA031380484 A CN A031380484A CN 03138048 A CN03138048 A CN 03138048A CN 1538177 A CN1538177 A CN 1538177A
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Abstract
A method and system based on image processing technique for the in-line real-time detection and evaluation to the flocculate generated after coagulating reaction in water treating procedure and the optimized control for adding coagulant is disclosed. An underwater photography is used to obtain the 2D image of flocculate by CCD. The 2D image is processed to obtain the characteristics and geometric parameters of flocculate. By use of the fuzzy sorting-analyzing method and flocculate speciment library, the flocculate is automatically classified and evaluated for optimizing the addition of coagulant.
Description
One, affiliated technical field
The present invention relates to underwater camera mode detection reaction pond flco characteristic, geometric parameter, estimate the coagulating degree in the water treatment dispensing coagulation process, realize the optimal control of coagulation administration process with fuzzy reasoning method.
Two, background technology
The coagulation administration process of water treatment is the key link that influences water quality treatment, is the emphasis of water treatment research always.Raising along with development of computer and water factory's operation automaticity has realized the automatic control of coagulation administration to a certain extent.Because water treatment procedure complex physico-chemical mechanism reaches the time variation of course of reaction water quality parameter, the time stickiness of reaction, makes the factor that influences coagulant charging quantity a lot, dosage definite and the control coagulant becomes very difficult.At present, known water treatment coagulation administration control method is as traditional experience ocular estimate, although also widespread use in some water factories at present, but, therefore can't realize that the real-time optimization of coagulant adds automatically because this method relies on people's observations and operative employee's experience at intermittence; Though the beaker test method(s) is laboratory study, the effective means of estimating coagulation process, be not suitable for the stepless control of production run; Modelling and simulation are to be based upon on the existing experimental data basis, though can realize the automatically-controlled continuous of coagulation process to a certain extent, but when water quality changes, because model can't satisfy this variation, control system is usually lacked of proper care, because China's various places condition of water quality changes greatly and water pollution problems is serious, makes this problem particularly outstanding; Advanced at present single-factor parametric method (as streaming current method, transmittance pulsation detection method) etc., utilize monofactor effectively to characterize of the influence of multinomial factor to coagulation process, utilize its automatic control that can realize coagulation process, but exist in actual applications because the instrument that slit, instrument detecting chamber is little, easy obstruction etc. causes cleans, maintenance issues.
Along with the continuous development of computer digit image processing technique, the CCD image capture method has been widely used in the automatic measurement to some parameters.Existing patent report is used for CCD the automatic control process of coagulant dosage, but it is to pass through image processing method, set up the relation between the turbidity of the equivalent grain size of coagulating flco and precipitated outlet water, realize the automatic control of coagulant dosage, the setting value of its control system is to be adjusted by the turbidity of precipitated outlet water.Because conventional treatment reaction is a complex physicochemical process, at least need through 40 minutes by the precipitated outlet water of offeing medicine, system self the time stickiness and reaction complicacy, the default value that said method is determined can't satisfy the requirement that raw water quality constantly changes, thereby is difficult to realize that the real-time optimization of coagulant adds.
Three, summary of the invention
In order to overcome the deficiency of existing water treatment coagulation control method, the present invention utilizes the CCD image capture method, propose a kind of method of utilizing underwater camera and obtain the online machine vision detection method of coagulation flco characteristic, geometric parameter (density, mean grain size, size distribution, particle volume and the quantity that comprise flco), and utilize computer technology, adopt intelligent algorithm, the experienced operating personnel of canbe used on line are by observation analysis, evaluation coagulation process, the process of optimal control coagulant charging quantity.This method adopts the underwater camera method, the method for application image treatment technology and fuzzy cluster analysis, and the characteristic of recognition reaction flco, geometric parameter are estimated the coagulating process and the extent of reaction, realize the automatic adjusting and the optimal control of coagulant charging quantity.
The technical solution adopted for the present invention to solve the technical problems is: adopt the vision sensor CCD near human eye functions, utilize the underwater camera method,, light signal is converted into vision signal by the image sensing technology, by capure card, obtain the two-dimension picture of reaction flco; Utilize image processing techniques, characteristic, the geometric parameter of abstraction reaction flco sex character; By the method for fuzzy cluster analysis, utilize the flco model bank set up, realize automatic classification, evaluation, thereby realize experienced operating personnel's observation, fuzzy reasoning, judge, the process of decision-making in the mode of computing machine to the reaction flco.
The image acquistion system that the present invention adopts comprises underwater camera system, imaging optical system and video signal disposal system.Wherein, the underwater camera system also comprises special glass waterproof sealing optics Al-alloy casing except that the CCD camera, and this optical system can solve because distortion, aberration and other aberrations that the aqueous medium refraction causes.The intelligent appraisement system that the present invention adopts comprises fuzzy logic inference system and sample database system.
The invention has the beneficial effects as follows that its image processing method that adopts does not disturb the characteristic and the geometric parameter thereof of coagulation flco, the flco image that obtains can truly reflect the coagulating degree, has higher precision.Can regulate, control coagulant charging quantity according to the image processing result, realize that the optimization constantly of coagulant adds, save medicament, reduce the harm of excessive dispensing, system architecture is simple, reliable.
Four, description of drawings
Below in conjunction with drawings and Examples the utility model is further specified.
Fig. 1 is that the coagulation flco detects and coagulation process control system schematic diagram.
Five, embodiment
In conventional water treatment process, add former water behind the medicament after mixing, stirring, the first order reaction of flowing through pond, second order reaction are gone into settling basin behind the pond.Underwater camera of the present invention system is installed near the outlet in second order reaction pond, and light enters CCD shooting under water by optical system, and optical signalling is converted into vision signal, enters after the image collection card digitizing that computer picture monitors, disposal system.Obtain the two-dimension picture that reacts flco by image acquistion system, obtain characteristic, the geometric parameter of flco after handling by analysis, comprise density, mean grain size, size distribution, particle volume and the quantity of flco.The fuzzy evaluation system according in the water treatment system to the testing result of raw water quality parameter, the employing fuzzy reasoning method obtains flco characteristic, the geometric parameter under the simulated condition in the flco sample storehouse of having set up, use the fuzzy evaluation method and estimate the degree that current flco forms situation and coagulating, realize that according to the reasoning of existing control law storehouse the optimization of coagulant adds.
Claims (4)
1, the optimal control system of the Image Detection method of a coagulation flco and coagulation process can realize that the online in real time to the coagulation flco detects, estimates in the water treatment procedure, and can be according to the optimal control of evaluation result realization to coagulant dosage.It is characterized in that: utilize vision sensor CCD, adopt the underwater camera method,, obtain the reaction flco two-dimension picture behind the former water generation coagulating by the image sensing technology; Utilize image processing techniques, characteristic, the geometric parameter of abstraction reaction flco sex character; By the method for fuzzy cluster analysis, utilize the flco model bank set up, realize automatic classification, evaluation, thereby realize experienced operating personnel's observation, fuzzy reasoning, judge, the process of decision-making in the mode of computing machine to the reaction flco.
2, the optimal control system of the Image Detection method of coagulation flco according to claim 1 and coagulation process, it is characterized in that: the underwater camera system, except that the CCD camera, also comprise special glass waterproof sealing optics Al-alloy casing, this optical system can solve because distortion, aberration and other aberrations that the aqueous medium refraction causes.
3, the optimal control system of the Image Detection method of coagulation flco according to claim 1 and coagulation process, it is characterized in that: utilize image processing technique to obtain the characteristic and the geometric parameter of reaction back flco sex character, comprise density, mean grain size, size distribution, particle volume and the quantity of flco.
4, the optimal control system of the Image Detection method of coagulation flco according to claim 1 and coagulation process, it is characterized in that:, utilize the method for experiment to set up the sample graphics storehouse utilizing after image processing technique obtains the characteristic of reaction back flco sex character, geometric parameter; Adopt the method for fuzzy cluster analysis, analysis, evaluation response flco, and the dosage of the method decision-making coagulant of employing fuzzy reasoning are realized the optimal control of coagulant dosage.
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| CNA031380484A CN1538177A (en) | 2003-05-30 | 2003-05-30 | Coagulating process flocculate detection method based on image processing technology and optimization control system |
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Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103708590A (en) * | 2012-09-29 | 2014-04-09 | 埃科莱布美国股份有限公司 | Water treatment dosing optimizing system, water treatment system, and method of water treatment dosing optimizing system |
| CN104122262A (en) * | 2013-04-26 | 2014-10-29 | 济南大学 | Emulational simulation method of integrated floc three-dimensional model |
| CN104122830B (en) * | 2013-04-26 | 2016-12-28 | 济南大学 | A kind of emulation mode of infrared dynamic synchronization monitoring flco |
| CN107589043A (en) * | 2017-07-29 | 2018-01-16 | 太原理工大学 | A kind of method of quantitative analysis floccule body size and effective density relation |
| US10372144B2 (en) | 2015-11-30 | 2019-08-06 | International Business Machines Corporation | Image processing for improving coagulation and flocculation |
| CN110183027A (en) * | 2019-06-03 | 2019-08-30 | 太平洋水处理工程有限公司 | A kind of adaptive magnetic medium coagulating sedimentation water process autocontrol method |
| CN111233118A (en) * | 2020-03-19 | 2020-06-05 | 中冶赛迪工程技术股份有限公司 | Intelligent control system and control method for high-density sedimentation tank |
| CN113104945A (en) * | 2021-04-29 | 2021-07-13 | 太原理工大学 | Intelligent coal slime water dosing method and system based on floc characteristic feedback |
| WO2021214755A1 (en) * | 2020-04-21 | 2021-10-28 | Elad Technologies (L.S.) Ltd | System, and method for continuous process control of water contaminant separation process |
| CN113743424A (en) * | 2021-09-15 | 2021-12-03 | 昆明理工大学 | DBSCAN cluster analysis method for extracting characteristic points of full tailings dynamic flocculation sedimentation image |
| CN114229974A (en) * | 2021-11-19 | 2022-03-25 | 上海矾花科技有限公司 | Water treatment system and control method for adding amount of water treatment agent |
| CN115615885A (en) * | 2022-08-31 | 2023-01-17 | 金诚信矿业管理股份有限公司 | Intelligent analysis method and system for tailing flocculation and sedimentation |
| CN115684156A (en) * | 2022-10-27 | 2023-02-03 | 重庆大学 | Coagulation unit water production state early warning method based on floc identification |
| CN115745125A (en) * | 2022-12-13 | 2023-03-07 | 喜赞达环境科技(江苏)有限公司 | Garbage penetrating fluid multistage flow dividing method treatment device and method |
| CN115953727A (en) * | 2023-03-15 | 2023-04-11 | 浙江天行健水务有限公司 | Floc settling rate detection method and system, electronic equipment and medium |
| CN118221240A (en) * | 2024-05-08 | 2024-06-21 | 兰州交通大学 | In-situ online monitoring system for flocs |
-
2003
- 2003-05-30 CN CNA031380484A patent/CN1538177A/en active Pending
Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103708590A (en) * | 2012-09-29 | 2014-04-09 | 埃科莱布美国股份有限公司 | Water treatment dosing optimizing system, water treatment system, and method of water treatment dosing optimizing system |
| CN104122262A (en) * | 2013-04-26 | 2014-10-29 | 济南大学 | Emulational simulation method of integrated floc three-dimensional model |
| CN104122830B (en) * | 2013-04-26 | 2016-12-28 | 济南大学 | A kind of emulation mode of infrared dynamic synchronization monitoring flco |
| US10372144B2 (en) | 2015-11-30 | 2019-08-06 | International Business Machines Corporation | Image processing for improving coagulation and flocculation |
| US10671097B2 (en) | 2015-11-30 | 2020-06-02 | International Business Machines Corporation | Image processing for improving coagulation and flocculation |
| CN107589043A (en) * | 2017-07-29 | 2018-01-16 | 太原理工大学 | A kind of method of quantitative analysis floccule body size and effective density relation |
| CN110183027A (en) * | 2019-06-03 | 2019-08-30 | 太平洋水处理工程有限公司 | A kind of adaptive magnetic medium coagulating sedimentation water process autocontrol method |
| CN111233118A (en) * | 2020-03-19 | 2020-06-05 | 中冶赛迪工程技术股份有限公司 | Intelligent control system and control method for high-density sedimentation tank |
| WO2021214755A1 (en) * | 2020-04-21 | 2021-10-28 | Elad Technologies (L.S.) Ltd | System, and method for continuous process control of water contaminant separation process |
| CN113104945A (en) * | 2021-04-29 | 2021-07-13 | 太原理工大学 | Intelligent coal slime water dosing method and system based on floc characteristic feedback |
| CN113743424A (en) * | 2021-09-15 | 2021-12-03 | 昆明理工大学 | DBSCAN cluster analysis method for extracting characteristic points of full tailings dynamic flocculation sedimentation image |
| CN114229974A (en) * | 2021-11-19 | 2022-03-25 | 上海矾花科技有限公司 | Water treatment system and control method for adding amount of water treatment agent |
| CN114229974B (en) * | 2021-11-19 | 2022-11-11 | 上海矾花科技有限公司 | Water treatment system and control method for adding amount of water treatment agent |
| CN115615885A (en) * | 2022-08-31 | 2023-01-17 | 金诚信矿业管理股份有限公司 | Intelligent analysis method and system for tailing flocculation and sedimentation |
| CN115684156A (en) * | 2022-10-27 | 2023-02-03 | 重庆大学 | Coagulation unit water production state early warning method based on floc identification |
| CN115745125A (en) * | 2022-12-13 | 2023-03-07 | 喜赞达环境科技(江苏)有限公司 | Garbage penetrating fluid multistage flow dividing method treatment device and method |
| CN115745125B (en) * | 2022-12-13 | 2023-12-08 | 喜赞达环境科技(江苏)有限公司 | Multistage diversion method treatment device and method for garbage penetrating fluid |
| CN115953727A (en) * | 2023-03-15 | 2023-04-11 | 浙江天行健水务有限公司 | Floc settling rate detection method and system, electronic equipment and medium |
| CN115953727B (en) * | 2023-03-15 | 2023-06-09 | 浙江天行健水务有限公司 | Method, system, electronic equipment and medium for detecting floc sedimentation rate |
| CN118221240A (en) * | 2024-05-08 | 2024-06-21 | 兰州交通大学 | In-situ online monitoring system for flocs |
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