CN202305417U - Gray-level-identification-based water quality detecting device - Google Patents
Gray-level-identification-based water quality detecting device Download PDFInfo
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- CN202305417U CN202305417U CN2011204053828U CN201120405382U CN202305417U CN 202305417 U CN202305417 U CN 202305417U CN 2011204053828 U CN2011204053828 U CN 2011204053828U CN 201120405382 U CN201120405382 U CN 201120405382U CN 202305417 U CN202305417 U CN 202305417U
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Abstract
The utility model relates to a gray-level-identification-based water quality detecting device. The device comprises a water quality camera, a video analog/digital (A/D) module, a central processing unit, a video digital/analog (D/A) module, a monitor and a digital pipe circuit, wherein the water quality camera is used for acquiring an image for identifying water quality gray level; the video A/D module is connected with the water quality camera; the central processing unit is connected with the digital signal output end of the video A/D module; the video D/A module is connected with the central processing unit; the monitor is connected with the analog signal output end of the video D/A module; and the digital pipe circuit is connected with the central processing unit and is used for displaying the water quality on site in real time. The low gray level (brightness value) of the sampled image of a water body indicates the poor water quality, and vice versa. Therefore, when the water quality is detected, a corresponding water quality conclusion can be drawn by calculating the total gray level of the water body. The utility model adopts the detection principle that: the water body image shot by the camera is compared with a standard sample which is stored primarily, and then the water quality is precisely detected.
Description
Technical field
The utility model relates to the technical field of level measuring, specifically is a kind of water quality detecting device based on gray scale identification.
Background technology
Water quality parameter has been described the quality of water body; Because a large amount of waste liquids that the industrialization manufacturing produces and the use of agriculture chemistry medicament; Cause the water more serious contamination; Adopt in time, effectively, water quality monitoring system accurately, the countermeasure of can dealing with fast, for reduce discharging, pollution treatment has great significance.
Thereby need a cover to collect convenience, the practical solution of on-site data gathering, real-time Transmission and Long-distance Control.
The utility model content
The technical matters that the utility model will solve provide a kind of simple in structure, cost is lower, be suitable for accomplishing on-site data gathering and the time transmission domestic water quality detecting device based on gray scale identification.
In order to solve the problems of the technologies described above; The utility model provides a kind of water quality detecting device based on gray scale identification, comprising: be used to obtain the identification of water quality gray scale with the water quality camera of image, the video a/d module that links to each other with this water quality camera, the CPU that links to each other with the digital signal output end of this video a/d module, the video d/a module that links to each other with this CPU, the monitor that links to each other with the analog signal output of this video d/a module and the charactron circuit that is used for on-site real-time demonstration water quality condition that links to each other with said CPU.
One side of said water quality camera is provided with light source.
Said CPU and one is used to realize that the RS232 interface of remote monitoring links to each other.
The technique scheme of the utility model is compared prior art and is had the following advantages: the water quality measurement ultimate principle of (1) the utility model: when water body sampled images gray-scale value (brightness value) more hour, can think that its water quality is poor more, vice versa.Thereby when water quality detection, can be through to the corresponding water quality conclusion of calculating of water body overall gray level.Measuring principle is: the water body image that device for shooting is taken compares with original master sample of preserving, thereby accurately measures water quality.
Description of drawings
For the content that makes the utility model is more clearly understood, below basis specific embodiment and combine accompanying drawing, the utility model is done further detailed explanation, wherein
Fig. 1 is the synoptic diagram based on the water quality detecting device of gray scale identification among the embodiment.
Embodiment
See Fig. 1; The water quality detecting device based on gray scale identification of present embodiment comprises: be used to obtain the identification of water quality gray scale with the water quality camera of image, the video a/d module that links to each other with this water quality camera, the CPU that links to each other with the digital signal output end of this video a/d module, the video d/a module that links to each other with this CPU, the monitor that links to each other with the analog signal output of this video d/a module and the charactron circuit that is used for on-site real-time demonstration water quality condition that links to each other with said CPU.
One side of said water quality camera is provided with light source.
Said CPU and one is used to realize that the RS232 interface of remote monitoring links to each other.
The water quality detection method of present embodiment adopts the means of machine vision to measure indexs such as turbidity, pollutant, COD, and the principle of this method is: the water body image that device for shooting is taken compares with original master sample of preserving, thereby accurately measures water quality.
Adopt FPGA with said CPU, adopt the camera collection image of standard P AL video, light source is high power red UV light-emitting diode array, and video a/d module and video d/a module are selected NXP SAA7114 and SAA7121 respectively.At the data output facet, the scene can show water level and water quality condition through group of four figures pipe, has also designed communication module simultaneously, for the external transmission of data.
The dynamic similation video that the water quality camera collection arrives; Adopt the CVBS mode to be transferred to the video a/d module; Convert the ITU.656 digital video frequency flow of standard into by it; FPGA is responsible for from digital video frequency flow, grasping AP and dealing with, and drawing water level reference value or water quality reference value, and should be worth and passes through communication module and export via the RS232 interface.Picture monitoring when video d/a module and monitor are used to install and debug, group of four figures pipe can on-the-spotly show water level reference value or water quality reference value.
Claims (3)
1. water quality detecting device based on gray scale identification is characterized in that comprising: be used to obtain the identification of water quality gray scale with the water quality camera of image, the video a/d module that links to each other with this water quality camera, the CPU that links to each other with the digital signal output end of this video a/d module, the video d/a module that links to each other with this CPU, the monitor that links to each other with the analog signal output of this video d/a module and the charactron circuit that is used for on-site real-time demonstration water quality condition that links to each other with said CPU.
2. the water quality detecting device based on gray scale identification according to claim 1, it is characterized in that: a side of said water quality camera is provided with light source.
3. the water quality detecting device based on gray scale identification according to claim 1 and 2, it is characterized in that: said CPU and is used to realize that the RS232 interface of remote monitoring links to each other.
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CN2011204053828U CN202305417U (en) | 2011-10-21 | 2011-10-21 | Gray-level-identification-based water quality detecting device |
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CN2011204053828U CN202305417U (en) | 2011-10-21 | 2011-10-21 | Gray-level-identification-based water quality detecting device |
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Cited By (8)
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CN103175792A (en) * | 2013-03-18 | 2013-06-26 | 陈勇 | Water environment monitoring device based on machine vision |
CN105675508A (en) * | 2013-04-12 | 2016-06-15 | 蔡留凤 | Water environment monitoring system adopting image vision processing technology |
CN105717050A (en) * | 2013-04-12 | 2016-06-29 | 蔡留凤 | Working method of water environment monitoring system based on image visual processing technology |
CN105865583A (en) * | 2013-04-12 | 2016-08-17 | 蔡留凤 | Image vision processing technology based water environment monitoring system with function of water level measurement |
CN106353283A (en) * | 2016-11-04 | 2017-01-25 | 青岛佳明测控科技股份有限公司 | Water body transparency detection method and detection device based on same |
CN106404784A (en) * | 2013-03-18 | 2017-02-15 | 丁雪强 | Water regime monitoring system adopting camera device to monitor water quality |
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CN111999294A (en) * | 2020-08-06 | 2020-11-27 | 浙江力聚热水机有限公司 | Boiler water quality online detection device and method |
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2011
- 2011-10-21 CN CN2011204053828U patent/CN202305417U/en not_active Expired - Fee Related
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CN106404784A (en) * | 2013-03-18 | 2017-02-15 | 丁雪强 | Water regime monitoring system adopting camera device to monitor water quality |
CN104748792A (en) * | 2013-03-18 | 2015-07-01 | 吴昊 | Operating method for water environment monitoring device |
CN104749116A (en) * | 2013-03-18 | 2015-07-01 | 吴昊 | Water environment monitoring device based on machine vision |
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CN105865583A (en) * | 2013-04-12 | 2016-08-17 | 蔡留凤 | Image vision processing technology based water environment monitoring system with function of water level measurement |
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CN105717050A (en) * | 2013-04-12 | 2016-06-29 | 蔡留凤 | Working method of water environment monitoring system based on image visual processing technology |
CN105675508A (en) * | 2013-04-12 | 2016-06-15 | 蔡留凤 | Water environment monitoring system adopting image vision processing technology |
CN105910991A (en) * | 2013-04-12 | 2016-08-31 | 樊棠怀 | Device for realizing monitoring of water level and water quality based on image visual processing technology |
CN105675508B (en) * | 2013-04-12 | 2018-06-19 | 海德星科技南京有限公司 | A kind of monitoring water environment system using image vision treatment technology |
CN105910991B (en) * | 2013-04-12 | 2018-10-23 | 南昌工程学院 | A kind of device for realizing water level and water quality monitoring based on image vision treatment technology |
CN105910998B (en) * | 2013-04-12 | 2018-11-02 | 环境保护部华南环境科学研究所 | Using the monitoring water environment system of image vision treatment technology |
CN105891125B (en) * | 2013-04-12 | 2018-11-02 | 环境保护部华南环境科学研究所 | A kind of monitoring water environment system based on image vision treatment technology |
CN106353283A (en) * | 2016-11-04 | 2017-01-25 | 青岛佳明测控科技股份有限公司 | Water body transparency detection method and detection device based on same |
CN106353283B (en) * | 2016-11-04 | 2023-06-27 | 青岛佳明测控科技股份有限公司 | Water transparency detection method and detection device based on same |
CN109425613A (en) * | 2017-08-22 | 2019-03-05 | 江苏佳鑫环保工程有限公司 | A kind of imaging test device of underground water pollution dynamic monitoring |
CN111999294A (en) * | 2020-08-06 | 2020-11-27 | 浙江力聚热水机有限公司 | Boiler water quality online detection device and method |
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