CN103708592A - Novel water treatment method based on machine vision and device thereof - Google Patents
Novel water treatment method based on machine vision and device thereof Download PDFInfo
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Abstract
The invention discloses a novel water treatment method based on machine vision and a device thereof. Two high-accuracy industrial cameras are connected with a high-performance industrial computer to form a water treatment real-time detection control device by using a machine vision technology. The device adopts dual ponds to sample, and independently designed experimental related algorithm and tool are arranged in the industrial computer, so as to form a closed-loop cascade coagulant dosage automatic control system. The core is an image collection and treatment layer; multi-modular treatment is adopted, multi-dimensional data fusion and experiment result contrast analysis are carried out on a data fusion layer; finally, a multi-data fusion mathematical model of the parameter relationships between the dosage and equivalent grain sizes and quantities of raw water quality, a coagulant, flocculation basin floc and the like, floc settling velocity of a settling pond and water quality before filtering is built according to the conclusion; the automatic control of the coagulant dosage by the system is achieved at the closed-loop cascade control layer. Thus, the targets of ensuring the water supply quality, reducing consumption of the coagulant and reducing the water production cost are achieved. Therefore, the novel water treatment method and device are applicable to water treatment of a water plant.
Description
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technical field
The present invention relates to a kind of new type water treatment process devices and methods therefor based on machine vision, belong to water treatment research field.
background technology
Along with improving constantly of standard of living, people are also more and more higher to the requirement of drinking-water quality, no matter which kind of water source former water takes from, all contain to some extent much impurity, comprise the suspended substance that carries, colloid, solute etc., the task of water treatment is exactly the various impurity of removing in former water, makes it to reach drinking water standard.Therefore how former water effectively being detected and to be processed, is the subject matter of facing in our current water treatment procedure.
The research in early stage shows: existing machine vision flco detects sampling point and is all located at flocculation basin end slow-flowing stream place, flow velocity 2.5mm/s, than little many of the horizontal flow velocity 10-25m/s of actual settling tank, sampling representativeness is not enough, based on this, the two ponds of flocculation basin and settling tank sampling point is had an important component part into the research of flco detection method really made to order.
Treatment process is in the past single module solution, image is carried out after identical processing, then identify and follow the tracks of operation, and specific aim is not strong, and operating process is complicated, and experimental result error is large.
summary of the invention
The object of the invention is: the extremely complicated and present situation relevant to factors for flocculation process, the present invention discloses a kind of Novel water treatment device and method based on machine vision, this device detects data relatively accurately according to obtaining, by different system module data, merge, draw feedback data, control dosage.
Technical scheme of the present invention is: a kind of water treatment method based on machine vision, on the basis based on machine vision technique, adopt two ponds sampling method, two high precision industrial cameras are connected with high-performance industrial computer and form Real-time Water processing detection control apparatus; Utilize industrial computer that the experimental data detecting and experimental result are kept in computer, it is carried out to multidimensional data merges and experimental result comparative analysis, finally according to conclusion, set up dosage and raw water quality, coagulating agent, flocculation basin flco equivalent grain size and quantity, the mathematical model of the multisource data fusion of water water quality parameter relation before the heavy speed of settling tank flco, filter, the system that realizes is controlled the dosage of coagulating agent automatically to reach assure feed water water quality, reduce the consumption of coagulating agent, reach the object that reduces water producing cost.
Of the present invention pair of pond sampling, flocculation basin and settling tank are respectively placed a pick up camera, then the computer in watch-keeping cubicle are connected with two pick up cameras.
The present invention, according to the difference of the volume of flocculation basin and settling tank and shape, can take pick up camera to place respectively in different Liang Ge ponds, position, for different experiments data research.The riding position of flocculation basin pick up camera: flocculation basin outlet, flocculation basin is to settling tank breeze way; The riding position of settling tank pick up camera: settling tank water-in, 1/2 pond is long, 1/3 pond strong point.
Water treatment device of the present invention comprises: hardware device level, IMAQ and processing layer, data aggregation layer, tandem closed-loop control layer.
The hardware device of hardware device level mainly comprises simulation flocculation basin, simulation settling tank, two of industrial cameras, one of high-performance computer, 40 meters of gigabit netting twines.Simulate flocculation basin and be connected by pipeline with simulation settling tank, two industrial cameras are arranged on respectively the position, middle and lower part of simulating in flocculation basin and simulation settling tank, placed and illuminate flco also for the lamp box of making a video recording before industrial camera camera lens; Industrial camera by gigabit netting twine be arranged on pond outside the high-performance computer in watch-keeping cubicle be connected; Lamp box is connected to power supply by supply lead, by Power supply.
IMAQ and processing layer comprise that the floc image that is arranged on computer detects identification module, flco tracking module and data fusion module.
Floc image acquisition and processing layer, utilize the image detection data of flocculation basin pick up camera, with three two field picture difference, particle group optimizing strengthens the processing gained floc images such as large Tianjin method, is about to the Image Real-time Transmission of flocculation basin camera acquisition in computer, then utilizes the detection and Identification module of image processing system, floc image is processed, draw reference background frame clearly, and then reference background two field picture is processed, draw the parameters such as flco quantity that we are required and equivalent grain size.
Flco tracking module, utilize the image detection data of settling tank pick up camera, for flco, follow the tracks of and have operation time, there is polymerization, intersection, overlapping and cause problems such as following the tracks of losss in the great expense incurred of storage space aspect and flco, quote the position that continuity features that specific flco track algorithm moves in conjunction with flco and Movement Locus Equation are determined target in precipitation process; The Image Real-time Transmission of settling tank camera acquisition, in computer, is then utilized to the tracking monitor module of image processing system, floc image is processed, thereby draw the parameters such as settling velocity of flco.
Data aggregation layer, complicated for water treatment flocculation process, influence factor is many, there is feature non-linear, large time delay, utilize differential evolution algorithm (DE) to set up in water treatment coagulation process, the mathematical model of the multi-source fusion of the parameters relationships such as dosage and raw water quality (turbidity, water temperature, pH value, organic content etc.), coagulating agent, flocculation basin flco equivalent grain size and quantity, the heavy speed of settling tank flco, the front water quality of filter.In floc image treatment system, by inputting some parameters, draw our needed output data: dosage.
Tandem closed-loop control layer, control model based on multisource data fusion in water treatment flocculation process, write software, utilize the hardware such as turbidimeter, under meter, PH meter, pick up camera, image pick-up card, industrial computer, it is master control that structure be take the settling velocity of settling bowl, the correlation parameter of flocculation basin of take is auxiliary control, take raw water quality parameter as feedforward, before filter, water turbidity is the Closed-loop Cascade Controlling System of feedback, by simulation and experiment, verify and system is carried out perfect, and achievement in research is applied to the automatic production control practice of offeing medicine of water treatment coagulation process.
According to above-mentioned multi-source input parameter, form a unique output controlling feature amount (dosage), in order to drive chemicals feed pump to realize the accurately control automatically to coagulant dosage, thereby form a coagulation administration Closed-loop Cascade automatic control system.
The idiographic flow of a kind of new type water treatment process based on machine vision of the present invention is:
(1) two ponds sampling, pick up camera is placed and is connected; Two industrial cameras are individually fixed in to the optimum position of flocculation basin and settling tank, before fixing, in watch-keeping cubicle, pick up camera are connected with computer;
(2) view data two ponds being collected is synchronized to special Computerized image processing system, image is done to some preludes to be processed, with special image processing algorithm, carry out gradation of image enhancing, with top-hat morphologic filtering, suppress picture noise, uneven with flco adhesion and edge in opening operation and closed operation processing image;
(3) image after processing is analyzed with the corresponding image processing module of system respectively, at detection identification module, drawn quantity and the equivalent grain size of flco, at tracking module, draw the settling velocity of flco;
(4) in conjunction with equivalent grain size and the quantity of dosage and raw water quality, coagulating agent, flocculation basin flco, water water quality parameter before the heavy speed of settling tank flco, filter, the data fusion of application system, layer are processed and are drawn unique output control dosage;
(5) by closed-loop control layer, according to unique output, control the interpolation of the automatic Charge control of dosage, then return to the first step, until reach the water quality that we require.
The invention has the beneficial effects as follows, the present invention is the in the situation that of twin camera, detection and Identification module is set respectively, tracking module, the image of disparate modules is carried out to personalisation process, in the detection and Identification module of flco, in order to guarantee to measure the tolerance range of flco, morphologic filtering adopts first opens the computing of closing afterwards.At the tracking module of flco in order more effectively to carry out flco tracking, the operation of closed operation after morphologic filtering adopts and first expands.Thereby more can be accurately and effectively draw our needed detection data.The data that draw by multimode, take that to detect the settling velocity of obtaining in settling tank be master control, in flocculation basin, detect obtain etc. small particle size, the parameters such as quantity are auxiliary control, the raw water quality parameter water turbidity before feedforward, filter of take is feedback, builds the coagulation administration Closed-loop Cascade Controlling System not only having considered the real-time of raw water quality variation but also considered to filter the hysteresis quality of front water turbidity.
The present invention can save the running cost of water treatment greatly, realizes the real-time monitoring of water treatment and automatically controls.The present invention is applicable to the water treatment of water factory.
accompanying drawing explanation
Fig. 1 is water technology route map of the present invention;
Fig. 2 is the equipment frame figure that the present invention detects Controlling System;
Fig. 3 is flocculation basin image flco detection and Identification module schema;
Fig. 4 is settling tank image flco tracking module schema;
Picture in picture number represents: the 1st, and tandem closed loop control system; The 2nd, two ponds sampling system; The 3rd, three-frame difference; The 21st, flocculation basin; The 22nd, settling tank; 23 is first pick up cameras; 24 is second pick up cameras.
Embodiment
The embodiment of the inventive method as depicted in figs. 1 and 2.Fig. 1 is water technology route map; Fig. 2 is for detecting the equipment frame composition of Controlling System; Fig. 3 is flocculation basin image flco detection and Identification module schema; Fig. 4 is settling tank image flco tracking module schema.
The whole water treatment process system of the present embodiment, comprising: hardware device level, IMAQ and processing layer, data aggregation layer, tandem closed-loop control layer.
The hardware device of hardware device level mainly comprises simulation flocculation basin 21, simulation settling tank 22, the first industrial camera 23, the second industrial cameras 24,40 meters of high-performance computer and gigabit netting twines.As shown in Figure 2, wherein flocculation basin 21 is connected with settling tank 22 its equipment frame method, in flocculation basin fixed position, places respectively the first pick up camera and light source; In settling tank fixed position, place respectively the second pick up camera and light source.Current flow into settling tank from flocculation basin.In the sealed vessel that has glass port of the sealing that two industrial cameras are all placed, outside connects respectively A/D capture card, and pick up camera is connected with computer by A/D capture card.
IMAQ and processing layer, image processing system is installed in computer, the image that pick up camera photographed at flocculation basin, by A/D capture card, be sent in computer, the flco that the image of flocculation basin collection is delivered to system detects identification module, and image is carried out to pre-treatment, then image example is learned to filtering, three two field pictures that collect in continuous time are carried out to difference, thereby detection and Identification go out target image, the detection data of finally image being cut apart are kept in computer.
The image transmitting that settling tank is gathered is to the flco tracking module of floc image treatment system, image is carried out to pre-treatment, then image example is learned to filtering 2, be first dilation operation, rear closed operation, is conducive to like this us and more accurately target is followed the tracks of, three two field pictures that collect in continuous time are carried out to difference, thereby detection and Identification go out target image, finally the target image identifying is followed the tracks of, detection data are kept in computer.
Data aggregation layer, complicated for water treatment flocculation process, influence factor is many, there is feature non-linear, large time delay, utilize differential evolution algorithm (DE) to set up in water treatment coagulation process, the mathematical model of the multi-source fusion of the parameters relationships such as dosage and raw water quality (turbidity, water temperature, pH value, organic content etc.), coagulating agent, flocculation basin flco equivalent grain size and quantity, the heavy speed of settling tank flco, the front water quality of filter.In floc image treatment system, by inputting some parameters, draw our needed output data: dosage.
Tandem closed-loop control layer, control model based on multisource data fusion in water treatment flocculation process, write software, utilize the hardware such as turbidimeter, under meter, PH meter, pick up camera, image pick-up card, industrial computer, it is master control that structure be take the settling velocity of settling bowl, the correlation parameter of flocculation basin of take is auxiliary control, take raw water quality parameter as feedforward, before filter, water turbidity is the Closed-loop Cascade Controlling System of feedback, by simulation and experiment, verify and system is carried out perfect, and achievement in research is applied to the automatic production control practice of offeing medicine of water treatment coagulation process.
Flocculation basin image flco detection and Identification module flow process as shown in Figure 3, first, by flocculation basin Underwater Camera picked-up video signal, is beamed back computer and is carried out image pre-treatment; Pretreated image suppresses picture noise through morphologic filtering, processes in image flco adhesion and edge uneven etc. with opening operation and closed operation; Again image is become to the image after enhancing through three hardwood difference processing, then carry out moving Object Segmentation and characteristic parameter extraction, preserve image and cut apart detection data to computer.
Settling tank image flco tracking module flow process as shown in Figure 4, by settling tank Underwater Camera picked-up video signal, is beamed back computer and is carried out image pre-treatment; Pretreated image suppresses picture noise through morphologic filtering, processes in image flco adhesion and edge uneven etc. with opening operation and closed operation; Again image is become to the image after enhancing through three hardwood difference processing, then carry out moving Object Segmentation and characteristic parameter extraction, preserve flco and follow the tracks of detection data, floc settling velocity etc. are to computer.
The idiographic flow of the whole water treatment procedure operation of the present embodiment is as follows:
The 1st step: the sampling of two ponds, pick up camera is placed and is connected.Two industrial cameras are individually fixed in to the optimum position of flocculation basin and settling tank, before fixing, in watch-keeping cubicle, pick up camera are connected with computer.
The 2nd step: the view data that two ponds are collected is synchronized to special collecting image of computer and processing layer, does some pre-treatment to image, with special image processing algorithm, carries out gradation of image enhancing, with top-hat morphologic filtering, suppresses picture noise;
The 3rd step: pretreated image is solved to uneven quantity and the equivalent grain size that calculates flco by detecting identification module of flco adhesion and edge in image with opening operation and closed operation, draw the settling velocity of flco by tracking module;
The 4th step: in conjunction with equivalent grain size and the quantity of raw water quality, coagulating agent, flocculation basin flco, the parameters such as the heavy speed of settling tank flco, the front water water quality of filter, process the unique characteristic parameter that obtains reflecting water treatment effect by data fusion module;
The 5th step: realize system according to this characteristic quantity and automatically control adding of coagulating agent; Then return to second step, until reach the water quality that we require.
Claims (3)
1. the new type water treatment process based on machine vision, is characterized in that, the idiographic flow of described method is:
(1) hardware device level, adopts the sampling of two ponds, and pick up camera is placed and is connected; Two industrial cameras are individually fixed in to the optimum position of flocculation basin and settling tank, fixing in watch-keeping cubicle, two pick up cameras being connected with industrial computer before forms real-time inspection and control device;
(2) IMAQ and processing layer carry out IMAQ, with special image processing algorithm, carry out gradation of image enhancing, with top-hat morphologic filtering, suppress picture noise;
(3) pretreated image is solved to uneven quantity and the equivalent grain size that calculates flco by detecting identification module of flco adhesion and edge in image with opening operation and closed operation, by tracking module, draw the settling velocity of flco;
(4), at data aggregation layer, in conjunction with equivalent grain size and the quantity of raw water quality, coagulating agent, flocculation basin flco, water water quality parameter before the heavy speed of settling tank flco and filter, processes the unique characteristic parameter that obtains reflecting water treatment effect by data fusion module;
(5), at tandem closed-loop control layer, according to this characteristic quantity, realize system and automatically control adding of coagulating agent; Then return to second step, until reach the water quality that we require.
2. a kind of new type water treatment process based on machine vision according to claim 1, is characterized in that, described pair of pond sampling, and flocculation basin and settling tank are respectively placed a pick up camera, then the computer in watch-keeping cubicle are connected with two pick up cameras; According to the difference of the volume of flocculation basin and settling tank and shape, pick up camera can be taked to place respectively in different Liang Ge ponds, position, for different experiments data research; The riding position of flocculation basin pick up camera: flocculation basin outlet, flocculation basin is to settling tank breeze way; The riding position of settling tank pick up camera: settling tank water-in, 1/2 pond is long, 1/3 pond strong point.
3. the Novel water treatment device based on machine vision, is characterized in that, described device comprises: hardware device level, IMAQ and processing layer, data aggregation layer, tandem closed-loop control layer;
The hardware device of described hardware device level mainly comprises simulation flocculation basin, simulation settling tank, two of industrial cameras, one of high-performance industrial computer, 40 meters of gigabit netting twines; Simulate flocculation basin and be connected by pipeline with simulation settling tank, two industrial cameras are arranged on respectively the position, middle and lower part of simulating in flocculation basin and simulation settling tank, placed and illuminate flco also for the lamp box of making a video recording before industrial camera camera lens; Industrial camera by gigabit netting twine be arranged on pond outside the high-performance computer in watch-keeping cubicle be connected; Lamp box is connected to power supply by supply lead, by Power supply;
Described IMAQ and processing layer comprise that the floc image that is arranged on computer detects identification module, flco tracking module; Described floc image detects identification module, utilize the image detection data of flocculation basin pick up camera, with three two field picture difference, particle group optimizing, strengthen large Tianjin method and process gained floc image, be about to the Image Real-time Transmission of flocculation basin camera acquisition in computer, then utilize the detection and Identification module of image processing system, floc image is processed, draw reference background frame clearly, and then reference background two field picture is processed, draw required flco quantity and equivalent grain size parameter; Described flco tracking module, utilize the image detection data of settling tank pick up camera, for flco, follow the tracks of and to exist the great expense incurred of operation time, storage space aspect and flco that polymerization, intersection, overlapping and cause the problem of losing of following the tracks of occur in precipitation process, quote the position that specific flco track algorithm is determined target in conjunction with continuity features and the Movement Locus Equation of flco motion; Be about to the Image Real-time Transmission of settling tank camera acquisition in computer, then utilize the tracking monitor module of image processing system, floc image is processed, thereby draw the settling velocity parameter of flco;
Described data aggregation layer, flocculation basin and the settling tank data of utilization after image processing system is processed, set up dosage and raw water quality, coagulating agent, flocculation basin flco equivalent grain size and quantity, the mathematical model of the multisource data fusion of water water quality parameter relation before the heavy speed of settling tank flco, filter;
Described tandem closed-loop control layer, builds that to take the settling velocity of settling tank be master control, and the correlation parameter of flocculation basin of take is auxiliary control, take raw water quality parameter as feedforward, and before filter, water turbidity is the tandem closed loop control system of feedback.
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