CN114092719A - Filter fluid turbidity identification system and device - Google Patents
Filter fluid turbidity identification system and device Download PDFInfo
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- CN114092719A CN114092719A CN202010743501.4A CN202010743501A CN114092719A CN 114092719 A CN114092719 A CN 114092719A CN 202010743501 A CN202010743501 A CN 202010743501A CN 114092719 A CN114092719 A CN 114092719A
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- 239000012530 fluid Substances 0.000 title description 5
- 239000000706 filtrate Substances 0.000 claims abstract description 69
- 238000007781 pre-processing Methods 0.000 claims abstract description 15
- 239000000126 substance Substances 0.000 claims abstract description 5
- 238000004891 communication Methods 0.000 claims description 8
- 238000001914 filtration Methods 0.000 claims description 8
- 238000012545 processing Methods 0.000 claims description 5
- 238000005259 measurement Methods 0.000 claims description 3
- 239000000047 product Substances 0.000 abstract description 5
- 230000006378 damage Effects 0.000 abstract description 4
- 239000007788 liquid Substances 0.000 description 8
- 238000000034 method Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 6
- 238000005286 illumination Methods 0.000 description 4
- 239000003054 catalyst Substances 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 229920000098 polyolefin Polymers 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 239000002699 waste material Substances 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000008094 contradictory effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003909 pattern recognition Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
- 238000005406 washing Methods 0.000 description 1
- 239000002912 waste gas Substances 0.000 description 1
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F18/22—Matching criteria, e.g. proximity measures
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- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/27—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands using photo-electric detection ; circuits for computing concentration
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Abstract
The embodiment of the invention provides a system and equipment for identifying turbidity of a filter solution. Wherein the system comprises: the image acquisition module is used for acquiring an image of the filtrate; the control module is used for carrying out image preprocessing on the collected images of the filtrate, matching the preprocessed images and carrying out tolerance judgment on the matched images; and the output module is used for outputting the digital signal of the image after tolerance judgment. The system and the equipment for identifying the turbidity of the filtrate, provided by the embodiment of the invention, can objectively evaluate the turbidity of the filtrate, avoid large errors caused by artificial experience judgment, reduce the economic cost and avoid potential harm to human bodies caused by contact with chemical products.
Description
Technical Field
The embodiment of the invention relates to the technical field of pattern recognition, in particular to a system and equipment for recognizing turbidity of a filtrate.
Background
In the preparation process of the polyolefin catalyst, the turbidity of the existing washing liquid and the filtrate is mainly judged by human experience, so that the labor cost is increased, the operation difficulty is increased, and the polyolefin catalyst needs to be consumed again when judgment is wrong due to certain randomness of the accuracy of manual judgment, so that resource waste is easily caused. Therefore, the development of a filtrate turbidity identification system, which can effectively overcome the above-mentioned drawbacks in the related art, is an urgent technical problem in the art.
Disclosure of Invention
In view of the above problems in the prior art, embodiments of the present invention provide a system and an apparatus for identifying turbidity of a filtrate.
In a first aspect, an embodiment of the present invention provides a filtrate turbidity identification system, including: the image acquisition module is used for acquiring an image of the filtrate; the control module is used for carrying out image preprocessing on the collected images of the filtrate, matching the preprocessed images and carrying out tolerance judgment on the matched images; and the output module is used for outputting the digital signal of the image after tolerance judgment.
On the basis of the content of the embodiment of the system, the turbidity identification system for the filtrate provided by the embodiment of the invention is characterized in that the image acquisition module is an industrial CCD camera and is used for acquiring the image of the filtrate.
On the basis of the content of the above system embodiment, the filtrate turbidity identification system provided in the embodiment of the present invention includes: and the preprocessing module is used for preprocessing the image of the collected filtrate.
On the basis of the content of the above system embodiment, the filtrate turbidity identification system provided in the embodiment of the present invention includes: and the measurement processing module is used for matching the preprocessed image.
On the basis of the content of the above system embodiment, the filtrate turbidity identification system provided in the embodiment of the present invention includes: and the tolerance judging module is used for judging the tolerance of the matched image.
On the basis of the content of the above system embodiment, the system for identifying turbidity of filtrate provided in the embodiment of the present invention performs image preprocessing on the acquired image of the filtrate, including: correcting the brightness of the image, converting an analog signal of the image into a digital signal, filtering the image, distinguishing the color depth in the image and extracting a distinguishing result.
On the basis of the content of the above system embodiment, the system for identifying turbidity of filtrate provided in the embodiment of the present invention matches the preprocessed image, and includes: comparing the color depth of the preprocessed image with a preset image to obtain a color depth difference value; the preset image is an upper turbidity limit image.
On the basis of the content of the above system embodiment, the filter turbidity identification system provided in the embodiment of the present invention, where the tolerance determination is performed on the matched image, includes: and if the color depth difference value is within a preset range, determining that the turbidity of the filtrate is qualified.
In a second aspect, an embodiment of the present invention provides an electronic device, including:
at least one processor; and
at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, the processor calling the program instructions to implement the turbidity identification system for filtrate provided in any of the various possible implementations of the first aspect.
In a third aspect, embodiments of the present invention provide a non-transitory computer readable storage medium storing computer instructions that cause a computer to implement a filtrate turbidity identification system as provided in any of the various possible implementations of the first aspect.
According to the system and the equipment for identifying the turbidity of the filtrate, provided by the embodiment of the invention, the turbidity degree of the filtrate can be digitalized by system integration of the image acquisition module, the control module and the output module, so that the turbidity of the filtrate can be objectively evaluated, a large error caused by artificial experience judgment is avoided, the economic cost is reduced, and potential harm to a human body caused by contact with chemical products is avoided.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, a brief description will be given below to the drawings required for the description of the embodiments or the prior art, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic structural diagram of a turbidity identification system for a filtrate according to an embodiment of the present invention;
fig. 2 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. In addition, technical features of various embodiments or individual embodiments provided by the present invention may be arbitrarily combined with each other to form a feasible technical solution, and such combination is not limited by the sequence of steps and/or the structural composition mode, but must be realized by a person skilled in the art, and when the technical solution combination is contradictory or cannot be realized, such a technical solution combination should not be considered to exist and is not within the protection scope of the present invention.
The invention is mainly applied to various occasions of solid-liquid separation and turbidity discrimination in the chemical field, and realizes machine discrimination instead of manual discrimination. Through visual shooting analysis, the turbidity of the filtrate is digitized, the stability of filtrate identification is improved, waste caused by personnel experience errors is reduced, and the manual operation intensity is reduced. Based on the above starting point, the embodiment of the present invention provides a filtrate turbidity identification system, referring to fig. 1, the system comprising: the image acquisition module 101 is used for acquiring an image of the filtrate; the control module 102 is used for performing image preprocessing on the acquired image of the filtrate, matching the preprocessed image and performing tolerance judgment on the matched image; and the output module 103 is used for outputting the digital signal of the image subjected to tolerance determination.
Specifically, based on the content of the above system embodiment, in another embodiment, the system may further include an illumination module, where the illumination module may be an industrial illumination lamp, and is used to increase brightness of the filtrate, so as to facilitate the image acquisition module to acquire a clearer image.
According to the system and the equipment for identifying the turbidity of the filtrate, provided by the embodiment of the invention, the turbidity degree of the filtrate can be digitalized by system integration of the image acquisition module, the control module and the output module, so that the turbidity of the filtrate can be objectively evaluated, a large error caused by artificial experience judgment is avoided, the economic cost is reduced, and potential harm to a human body caused by contact with chemical products is avoided.
Based on the content of the above system embodiment, as an optional embodiment, in the filtrate turbidity identification system provided in the embodiment of the present invention, the image acquisition module is an industrial CCD camera, and is configured to acquire an image of the filtrate. Specifically, the industrial CCD camera takes a picture within a predetermined distance (which may be 0.5, 1, 3, 5 or 7 meters) from the filtrate, and takes a picture with the reference object (e.g., a factory floor or industrial equipment floor) on the back of the filtrate locked in focus. After the industrial CCD camera shoots the filtrate image, the image data is transmitted to the control module.
Based on the content of the foregoing system embodiment, as an optional embodiment, in the system for identifying turbidity of filtrate provided in the embodiment of the present invention, the control module includes: and the preprocessing module is used for preprocessing the image of the collected filtrate.
Based on the content of the foregoing system embodiment, as an optional embodiment, in the system for identifying turbidity of filtrate provided in the embodiment of the present invention, the control module includes: and the measurement processing module is used for matching the preprocessed image.
Based on the content of the foregoing system embodiment, as an optional embodiment, in the system for identifying turbidity of filtrate provided in the embodiment of the present invention, the control module includes: and the tolerance judging module is used for judging the tolerance of the matched image.
Based on the content of the foregoing system embodiment, as an optional embodiment, the system for identifying turbidity of filtrate provided in the embodiment of the present invention performs image preprocessing on the acquired image of the filtrate, including: correcting the brightness of the image, converting an analog signal of the image into a digital signal, filtering the image, distinguishing the color depth in the image and extracting a distinguishing result. Specifically, since an illumination module may be added, there may be a case of a transition exposure, and at this time, the brightness (i.e., brightness) of the image needs to be corrected to a degree that can be handled. Meanwhile, the acquired signals are analog images and need to be converted into digital signals (specifically, 0, 1 binary codes) which can be processed by computer equipment. And then, filtering noise possibly existing in the image, and distinguishing the color depth of the filtering liquid in the image to obtain a distinguishing result.
Based on the content of the foregoing system embodiment, as an optional embodiment, the system for identifying turbidity of filtrate provided in the embodiment of the present invention matches the preprocessed image, including: comparing the color depth of the preprocessed image with a preset image to obtain a color depth difference value; the preset image is an upper turbidity limit image. Specifically, the color shade of the filtered liquid image with the color shades distinguished is compared with the color shade of a preset image, and the numerical values (numerical values defined by a computer during digital signal processing) of the two compared color shades are subtracted to obtain a color shade difference value, wherein the preset image is an image shot after the detection result of the filtered liquid is consistent with a set value, and the image is a maximum allowable turbidity image (namely an upper turbidity limit image).
Based on the content of the foregoing system embodiment, as an optional embodiment, the system for identifying turbidity of filtrate provided in the embodiment of the present invention for determining tolerance of the matched image includes: and if the color depth difference value is within a preset range, determining that the turbidity of the filtrate is qualified. Specifically, if the color shade difference is within a preset range (e.g., the difference is within 2 °), the turbidity of the filtered fluid is considered to be acceptable, i.e., the turbidity of the filtered fluid is not much different from the desired turbidity (i.e., the turbidity of the filtered fluid in the preset image), and the error is within an acceptable range. It should be noted that the tolerance determination means that after the difference between the color shade (chromaticity) of the filtrate image and the color shade of the preset image is made, whether the difference is within the preset range is determined.
And finally, outputting the turbidity of the filtrate in the form of a digital signal, and transmitting the turbidity to a remote operation table so as to facilitate the next operation.
The filtering liquid turbidity identification system provided by the embodiment of the invention adopts a visual shooting technology and an image processing technology to digitize abstract attributes such as color depth and the like of filtering liquid, determines an optimal numerical value point through repeated detection and comparison, and can realize automatic discrimination of the filtering liquid by combining an upper computer, an NC system (a budget management platform) and the like. The waste of labor cost, time cost and polyolefin catalyst products caused by artificial experience judgment is avoided, and the risk of injury to human bodies due to waste gas leakage is avoided.
The system of the embodiment of the invention is realized by depending on the electronic equipment, so that the related electronic equipment is necessarily introduced. To this end, an embodiment of the present invention provides an electronic apparatus, as shown in fig. 2, including: at least one processor (processor)201, a communication Interface (communication Interface)204, at least one memory (memory)202 and a communication bus 203, wherein the at least one processor 201, the communication Interface 204 and the at least one memory 202 are configured to communicate with each other via the communication bus 203. The at least one processor 201 may invoke logic instructions in the at least one memory 202 to implement the following system: the image acquisition module is used for acquiring an image of the filtrate; the control module is used for carrying out image preprocessing on the collected images of the filtrate, matching the preprocessed images and carrying out tolerance judgment on the matched images; and the output module is used for outputting the digital signal of the image after tolerance judgment.
Furthermore, the logic instructions in the at least one memory 202 may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be substantially implemented or contributed to by the prior art, or the technical solution may be implemented in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the system according to the embodiments of the present invention. For example, a system comprising: the image acquisition module is used for acquiring an image of the filtrate; the control module is used for carrying out image preprocessing on the collected images of the filtrate, matching the preprocessed images and carrying out tolerance judgment on the matched images; and the output module is used for outputting the digital signal of the image after tolerance judgment. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to implement the methods or systems of the various embodiments or some parts of the embodiments.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. Based on this recognition, each block in the flowchart or block diagrams may represent a module, a program segment, or a portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In this patent, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A system for turbidity identification of a filtrate, comprising:
the image acquisition module is used for acquiring an image of the filtrate;
the control module is used for carrying out image preprocessing on the collected images of the filtrate, matching the preprocessed images and carrying out tolerance judgment on the matched images;
and the output module is used for outputting the digital signal of the image after tolerance judgment.
2. The filtrate turbidity identification system according to claim 1, wherein said image acquisition module is an industrial CCD camera for acquiring an image of the filtrate.
3. The filtrate turbidity identification system of claim 1, wherein said control module comprises: and the preprocessing module is used for preprocessing the image of the collected filtrate.
4. The filtrate turbidity identification system of claim 3, wherein said control module comprises: and the measurement processing module is used for matching the preprocessed image.
5. The filtrate turbidity identification system of claim 4, wherein said control module comprises: and the tolerance judging module is used for judging the tolerance of the matched image.
6. The filtrate turbidity identification system according to claim 3, wherein said image pre-processing of the acquired filtrate image comprises: correcting the brightness of the image, converting an analog signal of the image into a digital signal, filtering the image, distinguishing the color depth in the image and extracting a distinguishing result.
7. The filtrate turbidity identification system according to claim 4, wherein said matching the pre-processed images comprises: comparing the color depth of the preprocessed image with a preset image to obtain a color depth difference value; the preset image is an upper turbidity limit image.
8. The turbidity identification system according to claim 7, wherein said determining the tolerance of the matched image comprises: and if the color depth difference value is within a preset range, determining that the turbidity of the filtrate is qualified.
9. An electronic device, comprising:
at least one processor, at least one memory, a communication interface, and a bus; wherein the content of the first and second substances,
the processor, the memory and the communication interface complete mutual communication through the bus;
the memory stores program instructions executable by the processor, which are invoked by the processor to implement the system of any one of claims 1 to 8.
10. A non-transitory computer-readable storage medium storing computer instructions that cause a computer to implement the system of any one of claims 1 to 8.
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| CN202010743501.4A CN114092719A (en) | 2020-07-29 | 2020-07-29 | Filter fluid turbidity identification system and device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114779644A (en) * | 2022-04-29 | 2022-07-22 | 山东孚德环保有限公司 | Intelligent control method for filter |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1688880A (en) * | 2002-09-19 | 2005-10-26 | 易斯提克株式会社 | Apparatus and method for measuring water quality using image data |
| CN102565062A (en) * | 2012-03-02 | 2012-07-11 | 汕头市领域安防系统设备有限公司 | Method and device for testing turbidity of liquid based on detection of image gray |
| DE102012012380A1 (en) * | 2012-06-21 | 2013-12-24 | Jörg Huntmann | Motoring device for waste water or turbid media, has optical sensor and light source in position fixed to sensor, where optical sensor is formed in form of digital camera with image memory for frames |
| CN108051442A (en) * | 2017-12-28 | 2018-05-18 | 上海传英信息技术有限公司 | A kind of water quality recognition methods and water quality identifying system based on intelligent terminal |
| CN108107005A (en) * | 2016-11-25 | 2018-06-01 | 北京小米移动软件有限公司 | The method and device of liquid quality detection |
| CN110274893A (en) * | 2019-07-25 | 2019-09-24 | 淮北师范大学 | Water turbidity measuring device, image capturing system and method based on infrared photography |
| CN111339906A (en) * | 2020-02-24 | 2020-06-26 | 南京恒青中浦光电科技有限公司 | Image processing device and image processing system |
-
2020
- 2020-07-29 CN CN202010743501.4A patent/CN114092719A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1688880A (en) * | 2002-09-19 | 2005-10-26 | 易斯提克株式会社 | Apparatus and method for measuring water quality using image data |
| CN102565062A (en) * | 2012-03-02 | 2012-07-11 | 汕头市领域安防系统设备有限公司 | Method and device for testing turbidity of liquid based on detection of image gray |
| DE102012012380A1 (en) * | 2012-06-21 | 2013-12-24 | Jörg Huntmann | Motoring device for waste water or turbid media, has optical sensor and light source in position fixed to sensor, where optical sensor is formed in form of digital camera with image memory for frames |
| CN108107005A (en) * | 2016-11-25 | 2018-06-01 | 北京小米移动软件有限公司 | The method and device of liquid quality detection |
| CN108051442A (en) * | 2017-12-28 | 2018-05-18 | 上海传英信息技术有限公司 | A kind of water quality recognition methods and water quality identifying system based on intelligent terminal |
| CN110274893A (en) * | 2019-07-25 | 2019-09-24 | 淮北师范大学 | Water turbidity measuring device, image capturing system and method based on infrared photography |
| CN111339906A (en) * | 2020-02-24 | 2020-06-26 | 南京恒青中浦光电科技有限公司 | Image processing device and image processing system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114779644A (en) * | 2022-04-29 | 2022-07-22 | 山东孚德环保有限公司 | Intelligent control method for filter |
| CN114779644B (en) * | 2022-04-29 | 2023-04-07 | 山东孚德环保有限公司 | Intelligent control method for filter |
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