Resin regeneration waste liquid closed discharge system and method based on image intelligent identification

Abstract

The application discloses a resin regeneration waste liquid closed type pollution discharge system and method based on image intelligent identification, belongs to the technical field of condensate water fine treatment, and is characterized in that the outlet of a resin separation tank, the outlet of a negative resin regeneration tank, the outlet of a positive resin regeneration tank and the outlet of a resin mixing tank are connected with the inlet of a closed type pipeline, the outlet of the closed type pipeline is connected with external equipment, a pipeline type resin catcher is connected in series in the closed type pipeline, the output end of the pipeline type resin catcher is connected with the input end of an image processor, the output end of the image processor is connected with the input end of a PLC control unit, and the output end of the PLC control unit is connected with the control end of the resin separation tank, the negative resin regeneration tank, the positive resin regeneration tank and the resin mixing tank. The system and the method can identify the type of an intercepted object, and can simultaneously serve as a prewarning according to the type of the intercepted object.

Description

Technical Field

[0001] This invention belongs to the field of condensate polishing technology, and relates to a closed-loop sewage discharge system and method for resin regeneration waste liquid based on image intelligent recognition. Background Technology

[0002] To ensure the quality of steam and water in thermal power plants, condensate is typically treated using a fine-treatment desalination system, among which high-speed mixed bed is a mature and industrially applied technology. After the mixed bed is disassembled, the ion exchange resin needs to be regenerated using acids and alkalis. During the regeneration process, high-salt wastewater, excess acid / alkali wastewater, and regeneration wastewater containing resin particles and corrosion products of iron are inevitably generated.

[0003] The acidic wastewater from the cation exchange resin regeneration and the alkaline wastewater from the anion exchange resin regeneration are not discharged simultaneously. This often results in the volatilization of hydrochloric acid into the environment. The hydrogen chloride gas produced by this volatilization forms acid mist, which can severely irritate the oral mucosa and corrode meters, equipment, and pipelines in the regeneration workshop. Simultaneously, NH4+ in the cation exchange resin during the regeneration process... + The wastewater is replaced to form ammonium chloride, which readily volatilizes into ammonia under high pH conditions. This ammonia gas can damage human skin, conjunctiva, and respiratory mucosa, and in severe cases, can even cause pulmonary edema leading to death. Currently, most power plants use semi-open drainage ditches to discharge reclaimed wastewater. The direct discharge of acidic and alkaline wastewater, along with the escaped exhaust gases, will cause corrosion, environmental pollution, and waste of raw materials, while also seriously impacting human health.

[0004] In addition to salts, the wastewater generated during resin regeneration also contains hazardous solid waste—ion exchange resin. Semi-open drainage systems often use vertical resin traps, which are mounted on the trench cover. Water enters from below the resin trap, and the filtered wastewater is discharged directly into the trench from the bottom. Alarms are triggered by the resin trap's liquid level. The disadvantages of this system are: it cannot identify the type of intercepted material, hindering the classification and recycling of regeneration wastewater; it cannot predict or warn of blockages, and its response to unit operation problems caused by blockages is delayed. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of the prior art and provide a closed-loop sewage discharge system and method for resin regeneration waste liquid based on image intelligent recognition. This system and method can identify the type of intercepted material and provide early warning based on the type of intercepted material.

[0006] To achieve the above objectives, this invention discloses a closed-loop wastewater discharge system for resin regeneration based on image intelligent recognition, comprising an image processor, a PLC control unit, a resin separation tank, an anion resin regeneration tank, a cation resin regeneration tank, a resin mixing tank, a closed pipeline, and a pipeline-type resin trap. The outlets of the resin separation tank, the anion resin regeneration tank, the cation resin regeneration tank, and the resin mixing tank are connected to the inlet of the closed pipeline. The outlet of the closed pipeline is connected to external equipment. The pipeline-type resin trap is connected in series within the closed pipeline. The output end of the pipeline-type resin trap is connected to the input end of the image processor. The output end of the image processor is connected to the input end of the PLC control unit. The output end of the PLC control unit is connected to the control terminals of the resin separation tank, the anion resin regeneration tank, the cation resin regeneration tank, and the resin mixing tank.

[0007] Furthermore, the pipeline resin trap is used to filter the medium flowing in a closed pipeline and acquire image information of the filtered particles; the image processor is used to identify the type of particles based on the image information.

[0008] Furthermore, the pipe-type resin trap includes a device body, which is a pipe structure and is connected in series in the closed pipe. The device body is equipped with a filter screen and an image acquisition unit for collecting image information of particles filtered on the filter screen. The output end of the image acquisition unit is connected to the input end of the image processor.

[0009] Furthermore, the device body is provided with a backwash inlet.

[0010] Furthermore, the device body is provided with an endoscope and a cleaning brush for cleaning the endoscope.

[0011] Furthermore, the external equipment is a comprehensive wastewater discharge pool.

[0012] This invention discloses a closed-loop wastewater discharge method for resin regeneration based on image intelligent recognition, comprising:

[0013] The media discharged from the resin separation tank, anion resin regeneration tank, cation resin regeneration tank and resin mixing tank are discharged through a closed pipeline. During this process, the particles in the media are filtered by a pipeline resin trap and the image information of the particles is acquired.

[0014] Determine the type of particles based on the image information;

[0015] The discharge methods of the resin separation tank, anion resin regeneration tank, cation resin regeneration tank, and resin mixing tank are controlled according to the type of particles.

[0016] Furthermore, the process of determining the type of particles based on the image information is as follows:

[0017] Based on the improved YOLOv8 algorithm, the type of particle is determined according to the image information.

[0018] Furthermore, the types of particles include resin particles, broken resin particles, and impurities.

[0019] Furthermore, the process of controlling the discharge methods of the resin separation tank, anion resin regeneration tank, cation resin regeneration tank, and resin mixing tank according to the type of particles is as follows:

[0020] When the particles are resin particles, the resin is backwashed into the separation tower;

[0021] When the particles are broken resin particles, the resin in the resin separation tank, anion resin regeneration tank, cation resin regeneration tank and resin mixing tank should be replaced.

[0022] If the particles are foreign matter, the system will be shut down for maintenance.

[0023] The present invention has the following beneficial effects:

[0024] The closed-loop wastewater discharge system and method for resin regeneration based on image intelligent recognition described in this invention, in specific operation, ensures that all media discharged from the resin separation tank, anion resin regeneration tank, cation resin regeneration tank, and resin mixing tank are discharged through a closed pipeline. This effectively avoids environmental pollution, equipment corrosion, and health hazards caused by waste gas, wastewater, and waste resin entering the workshop environment, improving the safety of the regeneration process and protecting the physical and mental health of on-site personnel. Specifically, a pipeline-type resin trap filters the medium flowing within the closed pipeline and acquires image information of the filtered particles. An image processor processes the images to identify the particle type, and the PLC control unit responds accordingly. It should be noted that this invention, through the pipeline-type resin trap, effectively intercepts broken resin, leaked resin, and production process debris, and then makes different responses and operational decisions based on blockage conditions, improving the safety level of the production process and mitigating safety risks.

[0025] Furthermore, the device body is equipped with a backwash inlet, which not only eliminates the need for manual disassembly and cleaning of the filter element, but also efficiently and promptly resolves the high pressure differential problem caused by blockage, making operation and maintenance simple. Attached Figure Description

[0026] Figure 1 This is a structural diagram of the present invention.

[0027] Among them, 1 is a resin separation tank, 2 is an anion resin regeneration tank, 3 is a cation resin regeneration tank, 4 is a resin mixing tank, 5 is a pipeline resin trap, and 6 is an image acquisition unit. Detailed Implementation

[0028] To enable those skilled in the art to better understand the present invention, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of the present invention, not all embodiments, and are not intended to limit the scope of the present invention. Furthermore, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessary confusion regarding the concepts disclosed in the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort should fall within the scope of protection of the present invention.

[0029] The accompanying drawings show structural schematic diagrams according to embodiments disclosed in this invention. These drawings are not drawn to scale, and some details have been enlarged for clarity, and some details may have been omitted. The shapes of the various regions and layers shown in the drawings, as well as their relative sizes and positional relationships, are merely exemplary and may deviate from reality due to manufacturing tolerances or technical limitations. Furthermore, those skilled in the art can design regions / layers with different shapes, sizes, and relative positions as needed.

[0030] Example 1

[0031] refer to Figure 1 The closed-loop sewage discharge system for resin regeneration wastewater based on image intelligent recognition of the present invention includes a closed-loop pipe and a pipe-type resin trap 5. The closed-loop pipe is made of PVC material. The inlet of the closed-loop pipe is connected to the lower and upper outlets of the resin separation tank 1, the upper, lower, and middle outlets of the anion resin regeneration tank 2, the upper, lower, and middle outlets of the cation resin regeneration tank 3, and the upper, lower, and middle outlets of the resin mixing tank 4. The outlet of the closed-loop pipe is connected to the inlet of the wastewater integrated discharge pool. The pipe-type resin trap 5 is connected in series inside the closed-loop pipe.

[0032] During operation, the media discharged from resin separation tank 1, anion resin regeneration tank 2, cation resin regeneration tank 3 and resin mixing tank 4 enter the wastewater integrated discharge pool through closed pipelines. In addition, during this process, the medium is filtered through pipeline resin trap 5, and images of the filtered particles are acquired.

[0033] In one embodiment of the present invention, the pipe-type resin trap 5 includes a device body, which is a pipe structure and is connected in series with the closed pipe. The device body is provided with a filter screen and an image acquisition unit 6 for collecting image information of particles filtered on the filter screen. The device body is provided with a backwash inlet, and the pore size of the filter screen is 0.2-0.4 mm.

[0034] During operation, the media discharged from resin separation tank 1, anion resin regeneration tank 2, cation resin regeneration tank 3 and resin mixing tank 4 are filtered through a filter screen, and then the image information of the particles is acquired through the image acquisition unit 6.

[0035] As a real-time method of the present invention, the device body is provided with an endoscope and a cleaning brush for cleaning the endoscope. The endoscope allows for a direct view of the internal condition of the device body, while the cleaning brush cleans the endoscope to prevent particles from adhering to the endoscope and obstructing clear observation.

[0036] As one embodiment of the present invention, the closed-loop sewage discharge system for resin regeneration waste liquid based on image intelligent recognition further includes an image processor. The input end of the image processor is connected to the output end of the image acquisition unit 6. During operation, the image processor identifies the type of medium based on the image of the medium acquired by the image acquisition unit 6.

[0037] As one embodiment of the present invention, the closed-loop sewage discharge system for resin regeneration waste liquid based on image intelligent recognition also includes a PLC control unit. The input terminal of the PLC control unit is connected to the output terminal of the image processor, and the output terminal of the PLC control unit is connected to the control terminals of the resin separation tank 1, the anion resin regeneration tank 2, the cation resin regeneration tank 3, and the resin mixing tank 4. During operation, the PLC control unit controls the sewage discharge mode of the resin separation tank 1, the anion resin regeneration tank 2, the cation resin regeneration tank 3, and the resin mixing tank 4 according to the particle type, i.e., the blockage type, identified by the image processor.

[0038] In one embodiment of the present invention, the image acquisition unit 6 is a camera. The camera can clearly capture images under different lighting conditions. To ensure the clarity and usability of the images, an industrial-grade camera with waterproof and dustproof functions is selected.

[0039] The principle of this invention is as follows:

[0040] All the media discharged from resin separation tank 1, anion resin regeneration tank 2, cation resin regeneration tank 3, and resin mixing tank 4 are sent into a closed pipeline. At the same time, the media is filtered through a filter screen to capture particles in the media. The image acquisition unit 6 acquires image information of the captured particles. The image processor determines the type of particles based on the image information. The PLC control unit controls the sewage discharge mode of resin separation tank 1, anion resin regeneration tank 2, cation resin regeneration tank 3, and resin mixing tank 4 according to the type of particles.

[0041] Specifically, the working process of this invention is as follows:

[0042] The media discharged from resin separation tank 1, anion resin regeneration tank 2, cation resin regeneration tank 3, and resin mixing tank 4 are all sent into a closed pipeline and then discharged into a comprehensive wastewater discharge pool. During this process, particles in the media are filtered and captured by the filter screen in the pipeline resin trap 5. The image acquisition unit 6 acquires the image information of the captured particles and inputs the image information into the image processor. The image processor identifies the type of particles based on the image information, which is resin particles, broken resin particles, and debris. The identified particle type is then input into the PLC control unit. The PLC control unit controls the discharge mode of resin separation tank 1, anion resin regeneration tank 2, cation resin regeneration tank 3, and resin mixing tank 4 according to the particle type. Specifically:

[0043] When the particles are resin particles, the resin is backwashed into the separation tower;

[0044] When the particles are broken resin particles, replace the resin in resin separation tank 1, anion resin regeneration tank 2, cation resin regeneration tank 3 and resin mixing tank 4 as soon as possible.

[0045] If the particles are foreign matter, the system will be shut down for maintenance.

[0046] Furthermore, the principle by which the image processor identifies the type of particles based on the image information is as follows:

[0047] The image processor uses an improved YOLOv8 algorithm for particle type identification, specifically:

[0048] 1a) Preprocess the image;

[0049] Image cropping: Only retain the key areas containing the inside of the pipe;

[0050] Grayscale conversion: Converting an image to grayscale reduces the complexity of data processing;

[0051] Noise removal: Apply a filtering algorithm to remove image noise. The filtering algorithm can be a Gaussian blur algorithm or a median filtering algorithm.

[0052] Contrast Enhancement: Enhances image contrast, making the features of the filtered area more prominent;

[0053] After processing the image, design three types of labels: {resin particles, broken resin particles, debris}.

[0054] 2a) Local Feature Perception Capability (LFPC) network modules are designed for different particle sizes. The convolutional blocks are designed with multiple small-sized convolutional kernels (1×1 and 3×3) to help capture detailed features of small targets. Depthwise separable convolutions are designed to reduce computational complexity while maintaining sensitivity to local features. Depthwise separable convolutions first perform convolutions in the spatial dimension and then in the channel dimension, effectively reducing the number of parameters and computational cost. Finally, a residual network (ResNet) is set up, integrating the local feature enhancement module into the ResNet residual blocks to leverage ResNet's deep feature transfer advantages.

[0055] 3a) Insert LFPC-ResNet into the YOLOv8 network for model training. The model is trained using a labeled image dataset containing images under various conditions, such as resin particles, broken resin particles, and debris. The trained model is then used for identification.

[0056] 4a) Regularly record the training loss and validation loss of the model after each epoch, and use a visualization tool (TensorBoard) to observe the trend of loss over time. If the loss does not converge, adjust parameters such as learning rate, batch size, and regularization parameters.

[0057] 5a) The model is integrated into a data processor, with cameras continuously capturing images and image recognition algorithms running through real-time image processing software. The frequency and type of congestion are analyzed to inform future model performance optimization and preventative measures.

[0058] It should be noted that the present invention has the following characteristics:

[0059] a) The use of closed pipelines effectively avoids environmental pollution, equipment corrosion, and harm to human health caused by the entry of waste gas, wastewater, and waste resin into the workshop environment, thereby improving the safety of the regeneration process and protecting the physical and mental health of on-site staff.

[0060] b) Configure a pipeline resin catcher 5 with image recognition function to effectively intercept broken resin, leaked resin and production process debris, and make different responses and operating decisions according to the type of captured particles, thereby improving the safety level of the production process and reducing safety risks.

[0061] c) The automatic backwashing function of this invention not only eliminates the need for manual disassembly and cleaning of the filter element, but also efficiently and promptly resolves the high pressure differential problem caused by blockage, making operation and maintenance simple.

[0062] Example 2

[0063] Accordingly, refer to Figure 1 This invention discloses a closed-loop sewage discharge method for resin regeneration wastewater based on image intelligent recognition. The method utilizes a closed-loop sewage discharge system for resin regeneration wastewater based on image intelligent recognition. This system includes a PLC control unit, an image processor, a closed-loop pipeline, and a pipeline-type resin trap 5. The closed-loop pipeline is made of PVC. The inlet of the closed-loop pipeline is connected to the lower and upper outlets of the resin separation tank 1, the upper, lower, and middle outlets of the anion regeneration tank 2, the upper, lower, and middle outlets of the cation regeneration tank 3, and the upper part of the resin mixing tank 4. The outlet, lower outlet, and middle outlet are connected. The outlet of the closed pipe is connected to the inlet of the wastewater integrated discharge tank. The pipe-type resin trap 5 is connected in series in the closed pipe. The pipe-type resin trap 5 includes a device body, which is a pipe structure. The device body is connected in series in the closed pipe. The device body is equipped with a filter screen and an image acquisition unit 6 for collecting image information of the particles filtered on the filter screen. The device body is equipped with a backwash inlet. The input terminal of the PLC control unit is connected to the output terminal of the image processor. The output terminal of the PLC control unit is connected to the control terminal of the resin separation tank 1, the anion resin regeneration tank 2, the cation resin regeneration tank 3, and the resin mixing tank 4.

[0064] Specifically, the closed-loop sewage discharge method for resin regeneration waste liquid based on image intelligent recognition includes:

[0065] 1) Acquire image information of the captured particles;

[0066] Specifically, the media discharged from resin separation tank 1, anion resin regeneration tank 2, cation resin regeneration tank 3 and resin mixing tank 4 enter the wastewater integrated discharge pool through a closed pipeline. During this process, the media is filtered and captured by a filter screen, and the image information of the captured particles is acquired by the image acquisition unit 6.

[0067] 2) Determine the type of particles based on the image information;

[0068] 3) Control the discharge method of resin separation tank 1, anion resin regeneration tank 2, cation resin regeneration tank 3 and resin mixing tank 4 according to the type of particles.

[0069] As one embodiment of the present invention, step 2) is as follows:

[0070] Based on the image information, particle type identification is performed using an improved YOLOv8 algorithm. The particle types include resin particles, broken resin particles, and debris.

[0071] Step 3) is as follows:

[0072] When the particles are resin particles, the resin is backwashed into the separation tower;

[0073] When the particles are broken resin particles, replace the resin in resin separation tank 1, anion resin regeneration tank 2, cation resin regeneration tank 3 and resin mixing tank 4 as soon as possible.

[0074] If the particles are foreign matter, the system will be shut down for maintenance.

[0075] It should be noted that this invention uses computer image recognition technology to intelligently determine the type of blockage in the resin trap, classifies and self-diagnoses different blockage states based on the YOLOv8 algorithm, and issues warnings / alarms to provide operators with reasonable solutions, thereby improving the efficiency of regenerated wastewater recovery and the safety of unit operation. On the other hand, the closed-loop pipeline drainage structure effectively prevents wastewater, exhaust gas, and waste resin from entering the regeneration workshop environment, thus avoiding the hazards of acid and alkali corrosion and environmental pollution, and protecting the production safety and health of on-site personnel. Effectively addressing the problems of environmental pollution, equipment corrosion, and low wastewater recovery efficiency caused by semi-open drainage ditch discharge of regenerated wastewater in the background technology, as well as the inability to effectively identify the type and extent of leaks, and the lag in system operation and early warning, this invention adopts a closed-loop pipeline structure and utilizes intelligent image recognition technology in the pipeline resin trap to effectively avoid the hazards caused by regenerated wastewater discharge, achieve efficient recycling of regenerated wastewater, reduce the cost of hazardous solid waste treatment in the neutralization tank, and optimize system operation decisions and warnings / alarms.

[0076] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A closed-loop wastewater discharge system for resin regeneration based on image intelligent recognition, characterized in that, The system includes an image processor, a PLC control unit, a resin separation tank (1), an anion resin regeneration tank (2), a cation resin regeneration tank (3), a resin mixing tank (4), a closed pipeline, and a pipeline resin catcher (5). The outlets of the resin separation tank (1), the anion resin regeneration tank (2), the cation resin regeneration tank (3), and the resin mixing tank (4) are connected to the inlet of the closed pipeline. The outlet of the closed pipeline is connected to external equipment. The pipeline resin catcher (5) is connected in series in the closed pipeline. The output end of the image processor is connected to the input end of the PLC control unit. The output end of the PLC control unit is connected to the control end of the resin separation tank (1), the anion resin regeneration tank (2), the cation resin regeneration tank (3), and the resin mixing tank (4). The pipeline resin trap (5) is used to filter the medium flowing in a closed pipeline and acquire image information of the filtered particles; the image processor is used to identify the type of particles based on the image information. The pipe-type resin catcher (5) includes a device body, which is a pipe structure. The device body is connected in series in the closed pipe. The device body is provided with a filter screen and an image acquisition unit (6) for collecting image information of the particles filtered on the filter screen. The output end of the image acquisition unit (6) is connected to the input end of the image processor. The types of particles include resin particles, broken resin particles, and impurities; The process of controlling the discharge mode of the resin separation tank (1), anion resin regeneration tank (2), cation resin regeneration tank (3) and resin mixing tank (4) according to the type of particles is as follows: When the particles are resin particles, the resin is backwashed into the resin separation tank. When the particles are broken resin particles, the resin in the resin separation tank (1), anion resin regeneration tank (2), cation resin regeneration tank (3) and resin mixing tank (4) should be replaced. When the particles are impurities, the resin separation tank (1), anion resin regeneration tank (2), cation resin regeneration tank (3) and resin mixing tank (4) shall be shut down for maintenance.

2. The closed-loop wastewater discharge system for resin regeneration based on image intelligent recognition according to claim 1, characterized in that, The device body is equipped with a backwash inlet.

3. The closed-loop wastewater discharge system for resin regeneration based on image intelligent recognition according to claim 1, characterized in that, The device contains an endoscope and a cleaning brush for cleaning the endoscope.

4. The closed-loop wastewater discharge system for resin regeneration based on image intelligent recognition according to claim 1, characterized in that, The external equipment is a comprehensive wastewater discharge pool.

5. A closed-loop wastewater discharge method for resin regeneration based on image intelligent recognition, characterized in that, The closed-loop wastewater discharge system for resin regeneration based on image intelligent recognition as described in claim 1 includes: The media discharged from the resin separation tank (1), anion resin regeneration tank (2), cation resin regeneration tank (3) and resin mixing tank (4) are discharged through a closed pipeline. During this process, the particles in the media are filtered by a pipeline resin trap (5) and the image information of the particles is obtained. Determine the type of particles based on the image information; The discharge method of the resin separation tank (1), anion resin regeneration tank (2), cation resin regeneration tank (3) and resin mixing tank (4) is controlled according to the type of particles. The types of particles include resin particles, broken resin particles, and impurities; The process of controlling the discharge mode of the resin separation tank (1), anion resin regeneration tank (2), cation resin regeneration tank (3) and resin mixing tank (4) according to the type of particles is as follows: When the particles are resin particles, the resin is backwashed into the resin separation tank. When the particles are broken resin particles, the resin in the resin separation tank (1), anion resin regeneration tank (2), cation resin regeneration tank (3) and resin mixing tank (4) should be replaced. When the particles are impurities, the resin separation tank (1), anion resin regeneration tank (2), cation resin regeneration tank (3) and resin mixing tank (4) shall be shut down for maintenance.

6. The closed-loop sewage discharge method for resin regeneration wastewater based on image intelligent recognition according to claim 5, characterized in that, The process of determining the particle type based on the image information is as follows: Based on the improved YOLOv8 algorithm, the type of particle is determined according to the image information.

Images