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Water flocculu shape in situ recognition method

An identification method and flocculation technology, which are applied in special data processing applications, measuring devices, material analysis by optical means, etc., can solve the problems of fuzzy data rules, widely different calculation results, floc fragmentation, etc., to ensure accuracy. Effect

Inactive Publication Date: 2008-04-09
HARBIN INST OF TECH
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Problems solved by technology

[0003] The purpose of the present invention is to solve the poor representativeness of the methods used in the current water treatment floc detection process, the flocs are broken and overlapped, resulting in a large difference between the obtained floc morphological characteristics and the real value, resulting in a wide range of calculation results. A method for in-situ identification of flocs in water due to the defect of fuzzy data rules

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  • Water flocculu shape in situ recognition method

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specific Embodiment approach 1

[0015] Specific embodiment one: this embodiment carries out the in-situ recognition of the floc form in water according to the following steps: 1. Install a high-speed digital camera at the inlet of the water treatment reaction tank and the water outlet of the reaction tank respectively to carry out underwater high-speed continuous shooting, and Adopt epi-light illumination; 2. Transmit the images taken by the high-speed digital camera to the computer through the digital interface and convert them into continuous floc image recording files; 3. Arrange the floc image files taken at the entrance of the reaction pool in chronological order 1,000 continuous floc image record files in the queue are used as the identification and detection objects, and the first-in-first-out principle is adopted in order; 4. Convert the 1,000 continuous floc image record files of the identification detection objects into 256-level flocs grayscale image files, and adopt the iterative threshold selecti...

specific Embodiment approach 2

[0022] Embodiment 2: The difference between this embodiment and Embodiment 1 is that the MiDAS 2.0 software module is used for data collection in step 6. Other steps and parameters are the same as those in Embodiment 1.

[0023] The MiDAS 2.0 software module of this embodiment is purchased from Xcitex Company.

specific Embodiment approach 3

[0024] Embodiment 3: The difference between this embodiment and Embodiment 1 is that the interface used in step 2 is a 10 / 100 / Gigabit communication interface. Other steps and parameters are the same as those in Embodiment 1.

[0025] This embodiment adopts an integrated 10 / 100 / Gigabit Ethernet communication interface.

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Abstract

A recognition method for the floc form normal position in water relates to a test method of floc. The method solves the disadvantages of unideal representativeness, cracked and overlapped floc, resulting in the obtained characteristics of the floc form to differ greatly from truth value, the calculation results different in thousands ways and indistinct data orderliness during the present floc test procedure of water treatment. The recognition method for the floc form normal position is as follows: the floc form characteristics parameter Beta is calculated by taking pictures, image treatment and calculation, wherein, the smaller the floc form characteristics parameter Beta is, the more close-grained the floc form is and the better flocculation is; the larger the floc form characteristics parameter beta is, the looser the flock is and the worse the flocculation is. The present invention method can not only obtain clear floc images, but also assure the accuracy of the recognition results, furthermore, can carry out the normal test and recognition and exactly formulate the dynamic process of the floc growing, cracking and so on, and therefore as a new effective dynamic recognition technical method the invention can be applied to the practical water treatment processing.

Description

technical field [0001] The invention relates to a floc detection method. Background technique [0002] The flocculation process is one of the most commonly used key links in water supply and wastewater treatment processes, and it largely affects the operating conditions of subsequent processes, final effluent quality and costs. Flocculation morphology is a new branch of flocculation theory that studies the morphological characteristics of colloidal particles and flocculants in the solution during the flocculation process and their influence on the flocculation process and flocculation effect. A variety of morphological characteristics, and these morphological factors are important factors that determine the flocculation process and flocculation effect. At present, the morphological features of flocs in water are usually extracted by precipitating the flocs on a glass slide, and observing the still image structure of multiple flocs in a certain field of view through a revers...

Claims

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Application Information

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IPC IPC(8): G01N15/00G01N21/84G06F17/00
Inventor 南军
Owner HARBIN INST OF TECH
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