Total phosphorus change trend detection device in sewage treatment system

By introducing a total phosphorus change trend detection device using cameras and neural network models into the wastewater treatment system, the problem of long detection time in traditional methods has been solved, enabling rapid and automated analysis of total phosphorus concentration change trends, thus improving detection efficiency and system real-time performance.

CN223650443UActive Publication Date: 2025-12-09HUAQI ENVIRONMENT PROTECTION SCI & TECH +1
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Patent Information

Application Number
CN202520310174.1
Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
Filing Date
2025-02-25
Publication Date
2025-12-09
Estimated Expiration
2035-02-25

AI Technical Summary

Technical Problem

Traditional chemical detection methods for total phosphorus concentration in wastewater are time-consuming and inefficient, making them unsuitable for use in automated control systems for total phosphorus removal, resulting in low phosphorus removal efficiency and high operating costs.

Method used

Design a device for detecting total phosphorus variation trends in a wastewater treatment system. The device uses a camera to record visual data in the reaction vessel in real time, and combines a cloud server and a neural network model to detect the total phosphorus concentration variation trend. The device uses an LED light panel to adjust the illumination, a stirring device to ensure reaction uniformity, and a cleaning device to keep the vessel clean, thus achieving automated data acquisition and analysis.

Benefits of technology

It shortens the total phosphorus detection time, improves the real-time performance and accuracy of the detection, reduces reliance on manual resources, and enables refined operation of the wastewater treatment system.

✦ Generated by Eureka AI based on patent content.

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Abstract

The utility model discloses a total phosphorus variation trend detection device in a sewage treatment system, and belongs to the technical field of sewage treatment. The device comprises a shell, a reaction container mounted in the shell, and a cloud server and a cloud platform which are arranged outside the shell, a camera is erected on the front side of the reaction container, and an LED lamp panel is erected on the rear side of the reaction container; the camera continuously records visual data in the reaction container and uploads the visual data to the cloud server, the cloud server preprocesses the visual data and inputs the visual data to the cloud platform for total phosphorus concentration change trend detection, and the visual data comprises image information of the process of generating alumen ustum through reaction of sewage total phosphorus, a coagulant and a coagulant aid; the neural network model analyzes and obtains the relation between the alumen ustum image information and the total phosphorus concentration, total phosphorus concentration change trend detection is carried out, the total phosphorus detection time is shortened, and then the real-time performance of total phosphorus detection is improved. The technical problems of long time consumption and influence on detection efficiency of a chemical detection method for the total phosphorus concentration in sewage in the prior art are solved.
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Description

TECHNICAL FIELD

[0001] The utility model relates to sewage treatment technical field more specifically, it is a kind of total phosphorus change trend detection device in sewage treatment system. BACKGROUND

[0002] The total phosphorus concentration in sewage is measured after various forms of phosphorus are converted into orthophosphate by digestion of water sample, and is measured in milligrams of phosphorus per liter of water sample. There are three common methods for measuring orthophosphate: vanadium-molybdenum phosphoric acid colorimetric method, molybdenum-antimony-scandium colorimetric method and stannous chloride method.

[0003] In general traditional total phosphorus chemical detection method, usually need to take water sample and add reagent, then carry out vibration mixing, then carry out water cooling and standing, finally total phosphorus detection can be carried out to mixed solution, therefore, total phosphorus concentration chemical detection method is time-consuming, affects detection efficiency, leads to detection delay greatly, cannot be applied to automatic control system of sewage total phosphorus removal, thereby affecting phosphorus removal efficiency and sewage treatment operation cost. UTILITY MODEL CONTENT

[0004] 1. The technical problem to be solved by the utility model:

[0005] In view of the problem of long time consumption and low detection efficiency of the existing total phosphorus concentration chemical detection method in sewage, the utility model provides a total phosphorus change trend detection device in sewage treatment system, which automatically collects visual data generated by the reaction of total phosphorus in sewage, coagulant and coagulant aid, inputs the visual data into a cloud platform for total phosphorus concentration change trend detection, thereby shortening the total phosphorus detection time and improving the real-time performance of total phosphorus detection.

[0006] 2. Technical scheme:

[0007] To achieve the above purpose, the utility model provides the technical scheme as follows:

[0008] A total phosphorus change trend detection device in sewage treatment system, comprising a shell, a reaction container installed in the shell, a cloud server and a cloud platform outside the shell, a camera is arranged on the front side of the reaction container, and an LED light plate is arranged on the rear side of the reaction container; the camera continuously records visual data in the reaction container and uploads the visual data to the cloud server; the cloud server pre-processes the visual data and inputs the visual data into a neural network model in the cloud platform for total phosphorus concentration change trend detection; the visual data includes image information of the process of generating alum flowers by the reaction of total phosphorus in sewage, coagulant and coagulant aid; the relationship between the alum flower image information and the total phosphorus concentration is analyzed and obtained; the total phosphorus concentration change trend is detected; the dependence on human resources is reduced; the total phosphorus detection time is shortened; and the real-time performance of total phosphorus detection is improved.

[0009] A further technical solution involves an LED light panel that automatically adjusts the LED array based on the brightness of the mixed solution in the reaction vessel, thereby improving the timeliness and accuracy of the camera's continuous recording of visual data from the reaction vessel.

[0010] A further technical solution involves installing a vertical acrylic plate between the reaction vessel and the LED light panel, preferably an opaque acrylic plate, to prevent the LED array brightness from being too concentrated and affecting the acquisition of visual data of the floc.

[0011] A further technical solution involves a built-in stirring device in the reaction vessel, which includes a motor and stirring blades. The stirring blades are vertically installed in the middle of the reaction vessel to facilitate the full reaction of the mixed solution to produce flocs and to disperse the flocs, thereby obtaining the input image data required for detection.

[0012] A further technical solution involves installing a cleaning device on the inner wall of the reaction vessel facing the camera. The cleaning device is preferably a brush or scraper lift, which removes residual flocs from the mixed reaction liquid in the device by driving the brush or scraper with a motor.

[0013] Further technical solutions also include a wastewater tank, external pipes connecting the wastewater tank, and a wastewater pump connected to the reaction vessel.

[0014] Further technical solutions also include a coagulant tank, an external pipeline connecting the coagulant tank, and a coagulant dosing pump connected to the reaction vessel.

[0015] Further technical solutions also include a clean water tank, an external pipe connecting the clean water tank, and a clean water pump connected to the reaction vessel.

[0016] In a further technical solution, the bottom of the reaction vessel is connected to a drain outlet and a drain valve.

[0017] A further technical solution includes a coagulant storage system, which comprises a coagulant tank, a coagulant powder box, and a weight sensor. The coagulant tank is located below the coagulant powder box, and the weight sensor is connected to the bottom of the coagulant tank. The coagulant tank is connected to the reaction vessel via pipes and a coagulant dosing pump. The weight sensor detects the amount of coagulant added, and a suitable amount of clean water is added to the coagulant tank via a clean water pump. A stirring device is used to agitate the mixture and prevent sedimentation, ensuring the uniformity and accuracy of the coagulant concentration.

[0018] 3. Beneficial effects

[0019] Compared with the prior art, the technical solution provided by this utility model has the following advantages:

[0020] This utility model discloses a total phosphorus variation trend detection device in a wastewater treatment system. It utilizes pumps, drain valves, weight sensors, stirring devices, and image acquisition systems to automatically collect data on the reaction process from floc formation to sedimentation of wastewater according to the process and given dosage. It can quickly analyze the variation trend of total phosphorus concentration in wastewater, solving the problem that traditional chemical testing methods cannot obtain continuous water quality data due to long detection time, thus hindering the refined operation of the plant. Attached Figure Description

[0021] Figure 1 This is a schematic diagram of the overall structure of the total phosphorus variation trend detection device in a wastewater treatment system according to a specific embodiment.

[0022] Figure 2 This is a partial structural diagram of the total phosphorus variation trend detection device in a wastewater treatment system according to a specific embodiment.

[0023] In the diagram: 1. Coagulant dosing pump; 2. Coagulant tank; 3. Microcontroller; 4. Coagulant aid dosing pump; 5. Coagulant aid tank; 6. LED light panel; 7. Coagulant aid powder box; 8. Cloud server; 9. Camera; 10. Reaction vessel; 11. Drain valve; 12. Clean water pump; 13. Clean water tank; 14. Sewage pump; 15. Sewage tank; 16. Outer shell; 18. Acrylic sheet; 20. Stirring device; 21. Cleaning device. Detailed Implementation

[0024] To further understand the contents of this utility model, a detailed description of the utility model is provided in conjunction with the accompanying drawings.

[0025] Example 1

[0026] The total phosphorus variation trend detection device in the wastewater treatment system of this embodiment, such as... Figure 2 As shown, the system includes an outer shell 16, a reaction vessel 10 installed inside the outer shell 16, and a cloud server 8 and a cloud platform outside the outer shell 16. An image acquisition system is installed on the front side of the reaction vessel 10, and an LED light panel 6 is installed on the rear side. The image acquisition system preferably uses a camera 9, which continuously records visual data in the reaction vessel 10 and uploads it to the cloud server 8. After preprocessing the visual data, the cloud server 8 inputs it to the cloud platform, where a neural network model detects the trend of total phosphorus concentration change.

[0027] The total phosphorus change trend detection device in the wastewater treatment system of this embodiment uses visual data including image information of the process of total phosphorus in wastewater reacting with coagulants and coagulants to produce flocs. The process of total phosphorus reacting with coagulants and coagulants to produce flocs is observed and recorded by camera 9, including the speed, size and settling speed of flocs. The neural network model quickly analyzes the changes in total phosphorus concentration in wastewater and obtains the relationship between floc image information and total phosphorus concentration to detect the trend of total phosphorus concentration change. This reduces the dependence on manual resources, shortens the total phosphorus detection time and improves the real-time performance of total phosphorus detection.

[0028] Example 2

[0029] The total phosphorus change trend detection device in the wastewater treatment system of this embodiment has the same basic structure as that in Embodiment 1, with the following differences or improvements: the LED light panel 6 automatically adjusts the LED array according to the brightness of the mixed solution in the reaction vessel 10, thereby improving the timeliness and accuracy of the camera 9 in continuously recording visual data in the reaction vessel 10. A vertical acrylic plate 18 is also installed between the reaction vessel 10 and the LED light panel 6, preferably an opaque acrylic plate 18, to avoid the LED array brightness being too concentrated and affecting the acquisition of visual data of alum floc. The reaction vessel 10 has a built-in stirring device 20, which includes a motor and stirring blades. The stirring blades are vertically installed in the middle of the reaction vessel 10 to facilitate the full reaction of the mixed solution to produce alum floc and to disperse the alum floc to obtain the input image data required for detection; the stirring method can also adopt other forms such as a magnetic stirrer. A cleaning device 21 is also installed on the inner wall of the reaction vessel 10 facing the camera 9. Wastewater contains suspended solids, and the reaction mixture contains flocculent matter, which will adhere to the inner wall of the reaction vessel. If the vessel is not cleaned before the next reaction, the video and image data collected by the camera will be blurry, affecting subsequent data analysis and processing. The cleaning device is a brush or scraper lift, driven by a motor to remove residual flocculent matter from the reaction mixture.

[0030] Example 3

[0031] The total phosphorus variation trend detection device in the wastewater treatment system of this embodiment has the same basic structure as in Embodiment 2, such as... Figure 1 , 2As shown, it includes a coagulant tank 2 and a coagulant aid tank 5 for supplying coagulant and coagulant aid respectively, as well as a microcontroller 3, a cloud server 8, a camera 9, a clean water tank 13, a wastewater tank 15, an outer shell 16, and a reaction vessel 10 inside the outer shell 16 for mixing wastewater, coagulant, and coagulant aid. Wastewater tank 15, coagulant tank 2, coagulant aid tank 5, and clean water tank 13 are all connected to the reaction vessel 10 via external pipes and pumps. The pumps are wastewater pump 14, coagulant dosing pump 1, coagulant aid dosing pump 4, and clean water pump 12, respectively. A weight sensor is installed at the bottom of the coagulant aid tank 5 to facilitate control of the amount of coagulant added. The bottom of the reaction vessel 10 is equipped with a drain outlet and a drain valve 11 to discharge the cleaning water and the mixed liquid after the reaction. An LED light panel 6 is installed at the rear to control the brightness of the background light during the data acquisition process, which facilitates data acquisition. A stirring device 20 is installed inside the reaction vessel 10 to fully stir the mixture and break up the settled flocs into flocs. The reaction vessel 10 and the camera 9 are both built into the outer shell 16 to isolate the external brightness of the device from the visual data analysis. The microcontroller 3 connects to the power supply and various parts of the device, such as the pump, LED lights, stirring device 20, drain valve 11, and cloud server 8, to automatically collect image and video data of the reaction between total phosphorus in wastewater and coagulant and coagulant aid to produce flocs; the camera 9 is connected to the cloud platform via a data cable and can also be connected wirelessly, and is located in front of the reaction container 10; the coagulant tank 2, coagulant aid tank 5, clear water tank 13, and wastewater tank 15 are all connected to the reaction container 10 via pumps and pipes, which facilitates the addition of the corresponding liquids to the reaction container 10 according to the controlled dosage.

[0032] A cleaning device 20 is installed inside the reaction vessel 10. Wastewater containing suspended solids and flocculent matter in the reaction mixture will adhere to the inner wall of the reaction vessel 10. If the vessel is not cleaned before the next reaction, the video and image data captured by the camera 9 will be blurry, affecting subsequent data analysis and processing. The cleaning device 20 is a brush or scraper lift, driven by a motor to remove residual flocculent matter from the reaction mixture.

[0033] An LED light panel 6 and an opaque acrylic plate 18 are installed at the rear of the reaction vessel 10. The LED light panel 6 is an LED array of the same size as the rear of the reaction vessel 10. During the reaction, it is necessary to illuminate the rear of the reaction vessel 10 to see the state of the floc formation. Different wastewater contains different levels of suspended solids. The LED array is set to automatically adjust according to the brightness of the mixed solution. The acrylic plate 18 is located between the LED light panel 6 and the reaction vessel 10 to avoid the brightness of the LED array being too concentrated and affecting the visual data of the floc formation.

[0034] The stirring device 20 includes a motor and a stirring blade. It is covered above the reaction vessel 10 and the stirring blade is installed in the center of the reaction vessel 10 to facilitate the full reaction of the mixed solution to produce flocs and to disperse the flocs, so as to obtain the input image data required for detection.

[0035] The coagulant storage system includes a coagulant tank 5, a coagulant powder box 7, and a weight sensor. The coagulant tank 5 is located below the coagulant powder box 7, and the weight sensor is located at the bottom of the coagulant tank 5. Because the coagulant is prone to sedimentation after being prepared into a solution, directly adding the coagulant solution to the reaction vessel 10 using a dosing pump would result in inaccurate coagulant concentration. Therefore, a weight sensor is used to sense the amount of coagulant added, and a water pump is used to add an appropriate amount of clean water to the coagulant tank 5. A stirring device is used to agitate the solution and prevent sedimentation, ensuring the uniformity and accuracy of the coagulant concentration.

[0036] Camera 9 uploads the collected visual data of alum floc to cloud server 8. After preprocessing the visual data, cloud server 8 inputs the data into a neural network model on the cloud platform to detect the trend of total phosphorus concentration changes. After the detection results are generated, cloud server 8 feeds the analysis results back to the monitoring platform. Simultaneously, all visual data and detection results are stored in the cloud database for subsequent review and analysis. Furthermore, the cloud platform's neural network model can be regularly updated and optimized through database updates to ensure its detection accuracy and performance remain at their best.

[0037] The total phosphorus change trend detection device in the wastewater treatment system of this embodiment uses pumps, drain valves, weight sensors, stirring devices, image acquisition systems, etc. to automatically collect data on the reaction process from the formation of floc to sedimentation of wastewater according to the process and given dosage. It can quickly analyze the change trend of total phosphorus concentration in wastewater, and solve the technical problem that traditional chemical testing methods cannot obtain continuous water quality data and carry out refined operation of the plant due to long detection time.

[0038] The present invention and its embodiments have been described above illustratively. This description is not restrictive, and the figures shown are only one embodiment of the present invention. The actual structure and manufacturing steps are not limited to these. Therefore, if those skilled in the art are inspired by this description and design similar structures and embodiments without departing from the spirit of the invention, such designs should fall within the protection scope of the present invention.

Claims

1. A device for detecting the total phosphorus variation trend in a wastewater treatment system, characterized in that: It includes an outer shell (16), a reaction container (10) installed inside the outer shell (16), and a cloud server (8) and cloud platform outside the outer shell (16). A camera (9) is mounted on the front side of the reaction container (10) and an LED light panel (6) is mounted on the rear side. The camera (9) continuously records visual data in the reaction vessel (10) and uploads it to the cloud server (8). After the cloud server preprocesses the visual data, it inputs it into the cloud platform to detect the trend of total phosphorus concentration change.

2. The total phosphorus variation trend detection device in the wastewater treatment system according to claim 1, characterized in that: The LED light panel (6) is an LED array that automatically adjusts the brightness of the mixed solution in the reaction vessel (10).

3. The total phosphorus variation trend detection device in the wastewater treatment system according to claim 2, characterized in that: A vertical acrylic plate (18) is also installed between the reaction vessel (10) and the LED light panel (6).

4. The total phosphorus variation trend detection device in the wastewater treatment system according to claim 3, characterized in that: The reaction vessel (10) has a built-in stirring device (20), which includes a motor and stirring blades. The stirring blades are vertically installed in the middle of the reaction vessel (10).

5. The total phosphorus variation trend detection device in the wastewater treatment system according to any one of claims 1-4, characterized in that: A cleaning device (21) is also provided on the inner wall of the reaction vessel (10) facing the camera (9).

6. The total phosphorus variation trend detection device in the wastewater treatment system according to claim 5, characterized in that: It also includes a coagulant storage system, which includes a coagulant tank (5), a coagulant powder box (7) and a weight sensor. The coagulant tank (5) is located at the lower end of the coagulant powder box (7), and the weight sensor is connected to the bottom of the coagulant tank (5). The coagulant tank (5) is connected to the reaction vessel (10) through a pipeline and a coagulant dosing pump (4).

7. The total phosphorus variation trend detection device in the wastewater treatment system according to claim 6, characterized in that: It also includes a wastewater tank (15), with external pipes and a wastewater pump (14) connected to the reaction vessel (10).

8. The total phosphorus variation trend detection device in the wastewater treatment system according to claim 6, characterized in that: It also includes a coagulant tank (2), with an external pipe and a coagulant dosing pump (1) connected to the reaction vessel (10).

9. The total phosphorus variation trend detection device in the wastewater treatment system according to claim 6, characterized in that: It also includes a clean water tank (13), and the clean water tank (13) is connected to an external pipe and a clean water pump (12) and the reaction vessel (10).

10. The total phosphorus variation trend detection device in the wastewater treatment system according to claim 6, characterized in that: The bottom of the reaction vessel (10) is connected to a drain outlet and a drain valve (11).