Filtrate turbidity identification system and equipment

Abstract

The embodiment of the present invention provides a filtrate turbidity identification system and device. The system includes: an image acquisition module for acquiring images of filtrate; a control module for performing image preprocessing on the acquired filtrate images, matching the preprocessed images, and performing tolerance determination on the matched images; and an output module for outputting digital signals of the images after tolerance determination. The filtrate turbidity identification system and device provided by the embodiment of the present invention can objectively evaluate the turbidity of filtrate, avoid large errors caused by human experience judgment, reduce economic costs, and avoid potential harm to the human body caused by contact with chemical products.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of pattern recognition technology, and in particular to a filtrate turbidity recognition system and device. Background Art

[0002] In the process of preparing polyolefin catalyst, the turbidity of existing washing liquid and filtrate is mainly judged by human experience, which increases labor cost and operation difficulty. Since the accuracy of manual judgment has a certain randomness, when the judgment error occurs, the polyolefin catalyst needs to be consumed again, which easily leads to waste of resources. Therefore, the development of a filtrate turbidity identification system that can effectively overcome the defects in the above-mentioned related technologies has become a technical problem that needs to be solved urgently in the industry. Summary of the invention

[0003] In view of the above problems existing in the prior art, an embodiment of the present invention provides a filtrate turbidity identification system and device.

[0004] In a first aspect, an embodiment of the present invention provides a filtrate turbidity identification system, comprising: an image acquisition module for acquiring images of filtrate; a control module for performing image preprocessing on the acquired images of filtrate, matching the preprocessed images, and performing tolerance determination on the matched images; and an output module for outputting a digital signal of the image after tolerance determination.

[0005] On the basis of the contents of the above system embodiment, in the filtrate turbidity identification system provided in the embodiment of the present invention, the image acquisition module is an industrial CCD camera for acquiring images of the filtrate.

[0006] On the basis of the contents of the above system embodiment, in the filtrate turbidity identification system provided in the embodiment of the present invention, the control module includes: a preprocessing module for performing image preprocessing on the collected filtrate image.

[0007] On the basis of the above system embodiment, in the filtrate turbidity identification system provided in the embodiment of the present invention, the control module includes: a measurement processing module for matching the pre-processed image.

[0008] Based on the contents of the above system embodiment, in the filtrate turbidity identification system provided in the embodiment of the present invention, the control module includes: a tolerance determination module, which is used to perform tolerance determination on the matched images.

[0009] Based on the contents of the above-mentioned system embodiment, the filtrate turbidity identification system provided in the embodiment of the present invention performs image preprocessing on the collected filtrate image, including: correcting the brightness of the image, converting the analog signal of the image into a digital signal, filtering the image, distinguishing the color depth in the image and extracting the distinction result.

[0010] Based on the contents of the above system embodiment, the filtrate turbidity identification system provided in the embodiment of the present invention, the matching of the preprocessed image includes: comparing the color depth of the preprocessed image with a preset image to obtain a color depth difference; wherein the preset image is a turbidity upper limit value image.

[0011] Based on the contents of the above system embodiment, the filtrate turbidity identification system provided in the embodiment of the present invention, the tolerance judgment of the matched image includes: if the color depth difference is within a preset range, determining that the turbidity of the filtrate is qualified.

[0012] In a second aspect, an embodiment of the present invention provides an electronic device, including:

[0013] at least one processor; and

[0014] at least one memory in communication with the processor, wherein:

[0015] The memory stores program instructions executable by the processor, and the processor calls the program instructions to execute the filtrate turbidity identification system provided by any possible implementation of various possible implementations of the first aspect.

[0016] In a third aspect, an embodiment of the present invention provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions enable a computer to implement a filtrate turbidity identification system provided by any possible implementation of the various possible implementations of the first aspect.

[0017] The turbidity identification system and device for the filtered liquid provided in the embodiment of the present invention can quantify the turbidity of the filtered liquid by integrating the image acquisition module, the control module and the output module, so as to objectively evaluate the turbidity of the filtered liquid, avoid the large errors caused by human experience judgment, reduce economic costs, and avoid potential harm to the human body caused by contact with chemical products. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 A schematic diagram of the structure of a filtrate turbidity identification system provided in an embodiment of the present invention;

[0020] Figure 2 A schematic diagram of the physical structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to make the purpose, 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 in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. In addition, the technical features in the various embodiments or single embodiments provided by the present invention can be arbitrarily combined with each other to form a feasible technical solution. This combination is not subject to the constraints of the sequence of steps and / or the structural composition mode, but must be based on the ability of ordinary technicians in this field to achieve. When the combination of technical solutions is contradictory or cannot be achieved, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0022] The present invention is mainly used in various solid-liquid separation and turbidity identification occasions in the chemical industry to realize machine identification instead of manual identification. Through visual photography analysis, the turbidity of the filtrate is digitized, which improves the stability of filtrate identification, reduces the waste caused by human experience errors, and reduces the intensity of manual operation. Based on the above starting point, the embodiment of the present invention provides a filtrate turbidity identification system, see Figure 1 The system includes: an image acquisition module 101, used for acquiring images of the filtrate; a control module 102, used for performing image preprocessing on the acquired images of the filtrate, matching the preprocessed images, and performing tolerance determination on the matched images; and an output module 103, used for outputting digital signals of the images after tolerance determination.

[0023] Specifically, based on the content of the above system embodiment, in another embodiment, a lighting module may be further included. The lighting module may be an industrial lighting lamp for increasing the brightness of the filtrate to facilitate the image acquisition module to acquire clearer images.

[0024] The turbidity identification system and device for the filtered liquid provided in the embodiment of the present invention can quantify the turbidity of the filtered liquid by integrating the image acquisition module, the control module and the output module, so as to objectively evaluate the turbidity of the filtered liquid, avoid the large errors caused by human experience judgment, reduce economic costs, and avoid potential harm to the human body caused by contact with chemical products.

[0025] 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, which is used to acquire the image of the filtrate. Specifically, the industrial CCD camera takes pictures within a predetermined distance from the filtrate (the distance can be 0.5 meters, 1 meter, 3 meters, 5 meters or 7 meters), and uses the back of the filtrate to reference an object (such as a factory background or an industrial equipment background) to lock the focus for shooting. After capturing the filtrate image, the industrial CCD camera transmits the image data to the control module.

[0026] Based on the content of the above system embodiment, as an optional embodiment, the filtrate turbidity identification system provided in the embodiment of the present invention, the control module includes: a preprocessing module for performing image preprocessing on the collected filtrate image.

[0027] Based on the content of the above system embodiment, as an optional embodiment, the filtrate turbidity identification system provided in the embodiment of the present invention, the control module includes: a measurement processing module for matching the pre-processed image.

[0028] 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 control module includes: a tolerance judgment module, which is used to perform tolerance judgment on the matched image.

[0029] Based on the content of the above system embodiment, as an optional embodiment, the filtrate turbidity identification system provided in the embodiment of the present invention, the image preprocessing of the collected filtrate image includes: correcting the brightness of the image, converting the analog signal of the image into a digital signal, filtering the image, distinguishing the color depth in the image and extracting the distinction result. Specifically, since the lighting module may be added, there may be a situation of overexposure sometimes. At this time, it is necessary to correct the brightness (i.e., brightness) of the image to reach a processable level. At the same time, since the collected signal is an analog image, it needs to be converted into a digital signal (specifically 0, 1 binary code) that can be processed by the computer device. Afterwards, the noise points that may exist in the image are filtered out, and the color depth of the filtrate in the image is distinguished to obtain the distinction result.

[0030] Based on the content of the above system embodiment, as an optional embodiment, the filtrate turbidity identification system provided in the embodiment of the present invention, the matching of the pre-processed image includes: comparing the color depth of the pre-processed image with the preset image to obtain the color depth difference; wherein the preset image is the turbidity upper limit image. Specifically, the color depth of the filtrate image after the color depth is distinguished is compared with the color depth of the preset image, and the values ​​of the two compared color depths (the values ​​defined by the computer during digital signal processing) are subtracted to obtain the color depth difference. The preset image is an image taken after the filtrate detection result is consistent with the set value, and this image is the maximum allowable turbidity image (i.e., the turbidity upper limit image).

[0031] Based on the content of the above system embodiment, as an optional embodiment, the filtrate turbidity identification system provided in the embodiment of the present invention, the tolerance judgment of the matched image includes: if the color depth difference is within the preset range, the turbidity of the filtrate is determined to be qualified. Specifically, if the color depth difference is within the preset range (such as the difference is within 2°), the turbidity of the filtrate is considered to be qualified, that is, the turbidity of the filtrate is not much different from the expected turbidity (that is, the turbidity of the filtrate in the preset image), and the error is within an acceptable range. It should be noted that the tolerance judgment is to make a difference between the color depth (chromaticity) of the filtrate image and the color depth of the preset image, and then determine whether the difference is within the preset range.

[0032] Finally, the turbidity of the filtrate is output in the form of a digital signal and transmitted to the remote operation console to facilitate the next step of operation.

[0033] The filtrate turbidity identification system provided by the embodiment of the present invention uses visual photography technology and image processing technology to digitize abstract attributes such as the color depth of the filtrate, and through repeated detection and comparison, the optimal value point is determined, and the filtrate can be automatically identified in combination with a host computer, an NC system (a budget management platform), etc. This avoids the waste of labor costs, time costs, and polyolefin catalyst products caused by human experience judgment, and avoids the risk of personal injury caused by exhaust gas leakage.

[0034] The system of the embodiment of the present invention is implemented by relying on electronic devices, so it is necessary to introduce the relevant electronic devices. Based on this purpose, the embodiment of the present invention provides an electronic device, such as Figure 2As shown, the electronic device includes: at least one processor 201, a communication interface 204, at least one 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 communicate with each other through the communication bus 203. The at least one processor 201 can call the logic instructions in the at least one memory 202 to implement the following system: an image acquisition module for acquiring an image of the filtrate; a control module for performing image preprocessing on the acquired image of the filtrate, matching the preprocessed image, and performing tolerance determination on the matched image; and an output module for outputting a digital signal of the image after tolerance determination.

[0035] In addition, the logic instructions in the at least one memory 202 mentioned above can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the entire system or part of the system described in each embodiment of the present invention. For example, a system includes: an image acquisition module for acquiring an image of a filtrate; a control module for performing image preprocessing on the acquired image of the filtrate, matching the preprocessed image, and performing tolerance determination on the matched image; an output module for outputting a digital signal of the image after tolerance determination. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, and other media that can store program codes.

[0036] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0037] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to implement the method or system described in each embodiment or some parts of the embodiment.

[0038] The flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the systems, methods and computer program products according to multiple embodiments of the present invention. Based on this understanding, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and sometimes in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or the flowchart, and the combination of the boxes in the block diagram and / or the flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0039] In this patent, the terms "include", "comprises" or any other variation thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "includes..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0040] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A filtrate turbidity identification system, characterized in that: include: An image acquisition module, used for acquiring images of the filtrate; A control module, used for performing image preprocessing on the collected filtrate image, matching the preprocessed image, and performing tolerance determination on the matched image; An output module, used for outputting a digital signal of an image after tolerance determination; The control module includes: a preprocessing module for performing image preprocessing on the collected image of the filtrate; The image preprocessing of the collected filtrate image includes: correcting the brightness of the image, converting the analog signal of the image into a digital signal, filtering the image, distinguishing the color depth in the image and extracting the distinction result; The control module includes: a measurement processing module, which is used to match the pre-processed image; The matching of the preprocessed image includes: comparing the color depth of the preprocessed image with a preset image to obtain a color depth difference; wherein the preset image is a turbidity upper limit value image.

2. The filtrate turbidity identification system according to claim 1, characterized in that: The image acquisition module is an industrial CCD camera, which is used to acquire images of the filtrate.

3. The filtrate turbidity identification system according to claim 1, characterized in that: The control module includes: a tolerance determination module, which is used to perform tolerance determination on the matched images.

4. The filtrate turbidity identification system according to claim 1, characterized in that: The tolerance determination of the matched image includes: if the color depth difference is within a preset range, determining that the turbidity of the filtered liquid is qualified.

5. An electronic device, characterized in that: include: At least one processor, at least one memory, a communication interface and a bus; wherein, The processor, memory, and communication interface communicate with each other via the bus; The memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to implement the system according to any one of claims 1 to 4.

6. A non-transitory computer-readable storage medium, characterized in that: The non-transitory computer-readable storage medium stores computer instructions, which cause the computer to implement the system of any one of claims 1 to 4.

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