Real-time monitoring method and system for secondary biological pollution of pipeline direct drinking water

Abstract

The invention discloses a real-time monitoring system and method for secondary biological pollution of pipeline direct drinking water, and relates to the technical field of water quality monitoring. Identifying the preprocessed bacteria image by adopting an edge detection algorithm, and describing the outline of a microorganism coverage area; converting the bacterium image describing the contour of the microorganism coverage area into a binary image; counting the number of pixels in the microorganism coverage area by adopting a pixel counting algorithm, and converting the number of the pixels into a coverage area based on the image resolution and the zoom coefficient of the shooting and uploading integrated equipment; the area proportion of the coverage area is obtained through proportion calculation, and the water quality pollution degree is evaluated through the area proportion. An optical microscopic device and a shooting and uploading integrated device are utilized to shoot and upload the bacterial condition on the pipe wall through a transparent window of the pipe, and then a detection method is combined to analyze the bacterial area proportion on the pipe wall, so that the secondary biological pollution condition of the direct drinking water pipe is quickly identified and judged.

Description

Technical Field

[0001] The present invention relates to the technical field of water quality monitoring, and in particular to a real-time monitoring method and system for secondary biological contamination of pipeline direct drinking water. Background Art

[0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art.

[0003] With the widespread use and popularity of direct drinking water from pipes, people are increasingly relying on this convenient way of drinking water. However, as its popularity increases, the safety of direct drinking water has gradually become the focus of public attention. Although direct drinking water has undergone strict disinfection treatment before leaving the factory to ensure its initial water quality safety, in the actual water delivery process, direct drinking water faces multiple pollution risks.

[0004] During the process of piped water delivery, direct drinking water inevitably comes into contact with bacteria on the inner wall of the pipe or in the air. These bacteria may come from a variety of factors such as the water source, aging of the pipe, improper maintenance, etc. Especially when the inner wall of the pipe is damaged or aged, bacteria are more likely to invade the pipe and come into contact with the water. The mismatch between the water supply flow rate and the user's water flow rate is also an important factor leading to secondary pollution of direct drinking water. During the peak water supply period, the water supply flow rate is much greater than the user's water flow rate, causing drinking water to stay in the pipe for a long time. This long-term retention provides conditions for bacteria to grow and multiply on the pipe wall, and the bacteria gradually form bacterial films on the pipe wall. These bacterial films are not only difficult to be washed away by water flow, but also continuously release bacteria into the water over time, causing the water quality to gradually deteriorate.

[0005] In addition, traditional water quality monitoring methods usually adopt periodic testing methods, which have a long testing cycle, high testing costs, and lags behind. Due to the limitations of the testing cycle, traditional water quality monitoring methods often find it difficult to detect and solve water quality problems in a timely manner. At the same time, due to the high testing costs, traditional monitoring methods are also unable to achieve comprehensive and continuous monitoring of direct drinking water. Summary of the invention

[0006] In order to overcome the shortcomings of the above-mentioned prior art, the present invention provides a real-time monitoring method and system for secondary biological contamination of direct drinking water from a pipe. The method uses an optical microscope and an integrated device for photographing and uploading to photograph and upload the bacterial conditions on the pipe wall through a transparent window of the pipe, and then combines the detection method to analyze the proportion of the bacterial area on the pipe wall, thereby quickly identifying and judging the secondary biological contamination status of the direct drinking water pipe.

[0007] To achieve the above objectives, one or more embodiments of the present invention provide the following technical solutions:

[0008] In a first aspect, the present invention provides a method for real-time monitoring of secondary biological contamination of piped drinking water, comprising the following steps:

[0009] Acquire tube wall bacteria images and perform preprocessing;

[0010] Using an edge detection algorithm to identify the pre-processed bacterial image and depict the outline of the microorganism coverage area;

[0011] The bacterial image with the outline of the area covered by microorganisms is converted into a binary image;

[0012] A pixel counting algorithm is used to count the number of pixels in the microbial coverage area, and the number of pixels is converted into coverage area based on the image resolution and the scaling factor of the device that captures and uploads the image;

[0013] The area ratio of the coverage area is obtained by proportional calculation, and the degree of water pollution is evaluated based on the area ratio.

[0014] Furthermore, the calculated area ratio is compared with a preset warning threshold, and once the warning threshold is exceeded, the warning mechanism is immediately triggered.

[0015] Furthermore, a pipe wall microbial contamination database is constructed, and an early warning threshold is set according to the contamination data in the pipe wall microbial contamination database.

[0016] In a second aspect, the present invention provides a real-time monitoring system for secondary biological contamination of piped drinking water, including a monitoring instrument and a cloud server connected to the monitoring instrument;

[0017] The monitoring instrument is embedded in the branch pipeline, and a transparent observation window is fixedly provided at the bottom thereof. A shooting and uploading integrated device is fixedly provided inside the monitoring instrument above the transparent observation window. The bacterial image of the pipe wall is collected through the transparent observation window and transmitted to the cloud server; the cloud server evaluates the degree of water pollution based on the received bacterial image of the pipe wall.

[0018] Furthermore, the branch pipeline is connected to the direct drinking water pipeline.

[0019] Furthermore, the branch pipeline includes a water inlet pipe, a detection pipe and a water outlet pipe which are connected in sequence.

[0020] Furthermore, a monitoring instrument is embedded in the detection tube.

[0021] Furthermore, the integrated shooting and uploading device is embedded with a microscope, and the microscope is aimed at a transparent observation window.

[0022] In a third aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of a method for real-time monitoring of secondary biological contamination of piped drinking water as described in the first aspect.

[0023] In a fourth aspect, the present invention provides a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in the real-time monitoring method for secondary biological contamination of piped drinking water as described in the first aspect are implemented.

[0024] One or more of the above technical solutions have the following beneficial effects:

[0025] The present invention monitors the bacteria on the pipe wall in real time by using a monitoring instrument arranged on the direct drinking water pipe, and can quickly identify the risk of secondary biological contamination of the direct drinking water, thereby ensuring the immediate safety of the user's water.

[0026] The monitoring system of the present invention reduces the detection cost. Compared with the traditional periodic detection method, the real-time monitoring system of the present invention can realize automatic monitoring and data analysis without frequent manual intervention, thereby reducing the detection cost. At the same time, it also reduces the impact of human factors on the environment.

[0027] The system of the present invention also improves detection efficiency. Traditional detection methods usually require complex biological analysis of water samples in the laboratory, while the present invention can directly monitor the bacteria on the tube wall in real time without the need for complex sample processing and analysis processes. The degree of water pollution is evaluated by the area ratio of the bacterial area, greatly improving detection efficiency.

[0028] The present invention proposes an innovative real-time monitoring system for drinking water quality. The system integrates advanced online monitoring instruments and technologies, and can monitor and warn bacteria on the pipe wall in real time. The system uses high-resolution optical microscopes and image processing technology to clearly observe the bacterial area on the pipe wall, and uses intelligent algorithms to perform real-time analysis of the bacterial area in the bacterial image. Once the area ratio of the bacterial area exceeds the preset safety threshold, the system will immediately issue a warning to the user to ensure that the user can promptly understand the microbial contamination status of the drinking water pipeline and take corresponding measures.

[0029] The present invention also has positive significance for environmental protection. Through real-time monitoring and early warning of secondary biological contamination of direct drinking water, the problem of secondary biological contamination of direct drinking water can be discovered and solved in time, thus avoiding life and health problems caused by biological contamination. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0031] Figure 1 is a flow chart of a real-time monitoring method in an embodiment of the present invention;

[0032] Figure 2 is a front cross-sectional view of a monitoring instrument in an embodiment of the present invention;

[0033] Figure 3 It is a side sectional view of the monitoring instrument in the embodiment of the present invention.

[0034] Among them, 1- monitoring instrument, 2- integrated device for shooting and uploading, 3- microscope equipment, 4- transparent observation window, 5- water inlet pipe, 6- water outlet pipe, 7- detection tube. DETAILED DESCRIPTION

[0035] It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0036] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0037] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0038] Embodiment 1

[0039] like Figure 1 As shown, this embodiment discloses a real-time monitoring method for secondary biological contamination of piped drinking water, comprising the following steps:

[0040] Acquire tube wall bacteria images and perform preprocessing;

[0041] Using an edge detection algorithm to identify the pre-processed bacterial image and depict the outline of the microorganism coverage area;

[0042] The bacterial image with the outline of the area covered by microorganisms is converted into a binary image;

[0043] A pixel counting algorithm is used to count the number of pixels in the microbial coverage area, and the number of pixels is converted into coverage area based on the image resolution and the scaling factor of the device that captures and uploads the image;

[0044] The area ratio of the coverage area is obtained by proportional calculation, and the degree of water pollution is evaluated based on the area ratio.

[0045] In this embodiment, the cloud server receives the bacterial image captured and uploaded by the integrated device. Once the image data is received, the system immediately processes and intelligently analyzes it, and determines the degree of water pollution of the piped drinking water based on the analysis results of the bacterial image.

[0046] Pre-processing of bacterial images includes noise suppression and contrast enhancement to highlight the characteristics of microorganisms. Specifically, a filter is used to process the bacterial image to reduce or eliminate noise; then the histogram equalization algorithm is used to remap the pixel values ​​of the bacterial image to a more uniform distribution to enhance the contrast of the image, thereby highlighting the characteristics of microorganisms and improving the quality and analyzability of the image. Pre-processing improves image quality, reduces noise and interference, and provides more favorable conditions for subsequent edge detection.

[0047] Use a Gaussian filter to remove noise from an image:

[0048] The kernel function of Gaussian filtering is expressed as:

[0049]

[0050] Where (x,y) is the pixel coordinate in the image and σ is the standard deviation of the Gaussian kernel.

[0051] Enhance the contrast of an image using methods such as histogram equalization or contrast stretching, which can be achieved by adjusting the minimum and maximum brightness values ​​of the image.

[0052] The pre-processed bacterial image is identified by an edge detection algorithm to depict the outline of the microorganism coverage area. Specifically, before edge detection, the pre-processed bacterial image is converted into a bacterial grayscale image. Then, the Canny edge detection operator is used to perform edge detection on the bacterial grayscale image. In order to reduce the influence of noise on the edge detection result, a suitable threshold is set for the obtained gradient image. On the basis of edge detection, the detected edge points are connected to form a continuous contour line. The initially formed contour line is optimized, including removing burrs, filling gaps, etc., to improve the clarity and accuracy of the contour, and a bacterial grayscale image depicting the outline of the microorganism coverage area is obtained. The Canny algorithm includes steps such as filtering, gradient calculation, non-maximum suppression and double threshold detection.

[0053] Through the above technical solution, edge detection technology is used to accurately define the boundaries of the microbial coverage area. The monitoring system can automatically and accurately identify and depict the contour of the microbial coverage area on the inner wall of the direct drinking water pipe, ensuring the accuracy and integrity of the contour.

[0054] In order to achieve accurate area calculation, the system uses image binarization technology to convert the image into a binary image, that is, a black and white image, so as to clearly distinguish the microbial coverage area from the background area. Specifically, the image is converted into a form containing only black and white colors to clearly distinguish the microbial coverage area from the background. Binarization can be achieved by setting a threshold T, and pixel values ​​greater than T are set to white (or black), and those less than T are set to black (or white).

[0055] Subsequently, a pixel counting algorithm is used to count the number of white (or black, depending on the binary setting) pixels in the target area, i.e., the microbial coverage area, and the number of pixels is converted into a coverage area based on the image resolution and the zoom factor when the image is taken and uploaded to the integrated device.

[0056] Specifically, contour recognition and area calculation are performed in sequence: in the binary image, a contour detection algorithm (such as gradient-based contour detection) is used to identify the contour of the microorganism coverage area. The number of white (or black) pixels in the target area is counted by pixel counting technology to calculate the area occupied by the contour.

[0057] Assume that after binarization, the number of white pixels in the target area (microorganism coverage area) is N, and the actual area represented by each pixel is A. pixcl (This depends on the resolution and zoom factor of the image), the area A of the target area can be calculated by the following formula:

[0058] A=N×A pixcl (2)

[0059] Formula 2 shows that the area of ​​the target region (A) is equal to the number of pixels in the region (N) and the actual area represented by each pixel (A pixcl Here, N is an integer representing the total number of pixels in the target area (such as the microbial coverage area). pixcl A is a floating point number that represents the actual area occupied by each pixel, which depends on the resolution and scaling factor of the image. pixcl It can be calculated by the following formula:

[0060]

[0061] Where R is the resolution of the image (DPI or DPP) and S is the scaling factor. Therefore, the area A of the target area can be expressed as:

[0062]

[0063] Through the above process, the area occupied by the contour of the microbial coverage area on the inner wall of the direct drinking water pipe can be automatically identified and calculated.

[0064] The system compares the pixel area (or converted coverage area) of the target area with the total pixel area (or actual area) of the entire monitoring area, and calculates the area ratio of the microbial coverage area through ratio calculation. This ratio value is a key quantitative indicator for evaluating the degree of water pollution and provides a scientific basis for water quality management.

[0065] During the system design phase, in order to ensure the accuracy and effectiveness of the early warning mechanism, a pipe wall microbial contamination database was constructed. The database associates image samples of different degrees of contamination with the microbial index results obtained through the national standard test method (i.e., the national standard method), forming a huge data base. At the same time, the database is continuously learned and optimized using artificial intelligence algorithms to improve the matching accuracy of the image recognition algorithm and the national standard test results. The early warning threshold of the proportion of microbial contamination area is set according to the accumulated pollution data, and the pollution ratio of 20% is set as the primary warning threshold, and 35% is set as the severe pollution threshold that requires immediate disinfection. Once the threshold is exceeded, the system will immediately trigger the early warning mechanism. When the system receives the newly uploaded bacterial image and completes the automatic analysis, it will use the data in the database for comparison. According to the preset pollution ratio warning threshold, the system will automatically determine whether the current water quality pollution level exceeds the preset warning threshold, and make corresponding instructions according to the pollution ratio. Users can get real-time feedback on the microbial contamination of direct drinking water through the mobile phone APP to ensure the safety of users' water use.

[0066] In this embodiment, if Figure 1 As shown in the figure, the real-time monitoring process of secondary biological contamination of piped drinking water is as follows: the monitoring instrument takes an image of the bacteria on the pipe wall and uploads it to the cloud server. In the cloud server, it is first determined whether image processing is performed. If not, the bacteria image is retaken or the parameters are adjusted. If so, the edge detection technology is used to identify and depict the microbial coverage area, calculate the coverage area, analyze the pollution ratio on the pipe wall, and analyze whether the pollution reaches the threshold based on the pollution ratio. If not, it is fed back to the server, and the feedback information can be sent to the user terminal through the server. If so, it is determined which threshold the pollution ratio has reached. If it exceeds 20%, the early warning mechanism is triggered, and the early warning information is fed back to the server. If it exceeds 35%, the early warning mechanism is triggered, and the direct drinking water pipe is immediately systematically disinfected, and the disinfection operation is fed back to the server. Users can get real-time feedback on the microbial contamination of direct drinking water through the mobile phone APP to ensure the safety of users' water use.

[0067] Embodiment 2

[0068] like Figure 2 , 3 As shown, this embodiment discloses a real-time monitoring system for secondary biological contamination of piped drinking water, including a monitoring instrument 1 and a cloud server connected to the monitoring instrument;

[0069] The monitoring instrument 1 is embedded in the branch pipeline, and a transparent observation window 4 is fixedly provided at the bottom thereof. A shooting and uploading integrated device 2 is fixedly provided inside the monitoring instrument 1 above the transparent observation window 4. The bacterial image of the pipe wall is collected through the transparent observation window 4 and transmitted to the cloud server; the cloud server evaluates the degree of water pollution based on the received bacterial image of the pipe wall.

[0070] In this embodiment, a branch pipe is connected to the direct drinking water pipe, and the branch pipe includes an inlet pipe 5, an outlet pipe 6 and a detection pipe 7. One end of the inlet pipe 5 is connected to the direct drinking water pipe, and the other end is connected to the detection pipe 7. The other end of the detection pipe 7 is connected to one end of the outlet pipe 6, and the other end of the outlet pipe 6 is connected to the direct drinking water pipe. The water flow in the direct drinking water pipe is introduced into the detection pipe 7 through the inlet pipe 5, and flows back into the direct drinking water pipe through the outlet pipe 6. In other words, the water in the direct drinking water pipe is diverted to the monitoring device by the inlet pipe 5 and the outlet pipe 6. In actual application, the position of the monitoring device can be adjusted according to the application scenario.

[0071] The water flow in the direct drinking water pipe is introduced into the monitoring equipment through the water inlet pipe 5. During the use of direct drinking water, since the user's water flow rate is much smaller than the water supply flow rate, the direct drinking water will fill the entire direct drinking water pipe and branch pipes for a long time, and continuously breed bacteria so that a bacterial film gradually forms on the pipe wall.

[0072] A monitoring instrument 1 is embedded in the detection tube 7. The bottom of the monitoring instrument 1 is open, and a transparent pipeline observation window 4 is fixed at the open end for observing the bacterial adhesion on the inner wall of the detection tube 7. Since the water in the detection tube 7 comes from the direct drinking water pipeline, the bacterial growth on the wall of the direct drinking water pipeline is basically the same as the bacterial growth on the wall of the detection tube 7 where the monitoring instrument 1 is located. Therefore, the microbial contamination of the wall observed by the monitoring instrument 1 can reflect the microbial index of the direct drinking water pipeline.

[0073] A shooting and uploading integrated device 2 is fixed on the internal top wall of the monitoring instrument 1, and a microscope 3 is embedded in the shooting and uploading integrated device 2. The microscope 3 is aimed at the transparent observation window 4, and the bacterial adhesion on the wall of the detection tube 7 is magnified through the transparent observation window 4. The magnified bacterial adhesion is photographed by the shooting and uploading integrated device 2, and the bacterial image on the wall of the detection tube 7 is obtained and uploaded to the cloud server for analysis. The shooting and uploading integrated device integrates a high-precision optical microscope for real-time observation and recording of the details of bacterial adhesion. The shooting and uploading integrated device is set to automatically collect images periodically (such as 12 hours or 24 hours), and instantly transmit the image data to the cloud server.

[0074] In some embodiments, the integrated device for photographing and uploading 2 is composed of a camera and an uploading device. The camera is located directly below the uploading device and uses a CCD card camera. The microscope device is connected at the lens. The transmission mode of Bluetooth transmission or data cable transmission is selected according to the use environment to transmit the photo to the uploading device. The camera lens is connected to the microscope. When taking photos, the camera will automatically focus and adjust the distance between the microscope and the tube wall. The integrated device for photographing and uploading used can automatically identify whether the flash is turned on when taking photos. The operation process is similar to that of the camera on a mobile phone.

[0075] In some embodiments, the monitoring instrument 1 is embedded in the upper part of the detection tube 7 .

[0076] In some embodiments, the microscopic device 3 is a high-precision optical microscope.

[0077] This system realizes real-time continuous monitoring, rapid and accurate analysis, and scientific and effective early warning of microbial indicators of direct drinking water by installing real-time monitoring equipment, i.e., monitoring instruments, on the direct drinking water pipeline. The monitoring instrument can not only capture the dynamics of bacterial attachment on the pipe wall of the observation window in real time, but also synchronize the captured image data to the cloud server in real time through an efficient camera and upload system, providing effective data support for the analysis of microbial indicators. The cloud server can timely and effectively understand the dynamic development of microbial contamination of direct drinking water by analyzing the images continuously acquired within a certain period of time on a time scale. The real-time monitoring system also has an early warning function. Once the analysis shows that the proportion of the microbial contamination area in the real-time acquired image reaches the preset threshold, the system will start the automatic early warning function, and promptly notify the user end and the water equipment maintenance end through the mobile phone APP, and quickly and effectively take measures such as microbial disinfection. At the same time, users can obtain historical image data reflecting the microbial contamination status of direct drinking water through the mobile phone APP in real time, so as to timely understand the water quality of the direct drinking water they drink, and truly know what is going on and drink it with confidence. This real-time online monitoring method significantly improves the timeliness, effectiveness and accuracy of microbial indicator monitoring of piped drinking water, and effectively avoids the problem of secondary biological contamination of piped drinking water caused by untimely treatment.

[0078] Embodiment 3

[0079] The purpose of this embodiment is to provide a computing device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method steps of the first embodiment when executing the program.

[0080] Embodiment 4

[0081] The purpose of this embodiment is to provide a computer-readable storage medium, a computer-readable storage medium having a computer program stored thereon, and when the program is executed by a processor, the method steps of the first embodiment are executed.

[0082] The steps involved in the apparatus of the above embodiments 3 and 4 correspond to the method embodiment 1, and the specific implementation method can refer to the relevant description part of embodiment 1. The term "computer-readable storage medium" should be understood as a single medium or multiple media including one or more instruction sets; it should also be understood to include any medium that can store, encode or carry an instruction set for execution by a processor and enable the processor to execute any method in the present invention.

[0083] Those skilled in the art should understand that the modules or steps of the present invention described above can be implemented by a general-purpose computer device, or alternatively, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. The present invention is not limited to any specific combination of hardware and software.

[0084] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

[0085] Although the above describes the specific implementation mode of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art on the basis of the technical solution of the present invention without creative work are still within the scope of protection of the present invention.

Claims

1. A real-time monitoring method for secondary biological contamination of piped drinking water, characterized in that: The following steps are involved: Acquire tube wall bacteria images and perform preprocessing; Using an edge detection algorithm to identify the pre-processed bacterial image and depict the outline of the microorganism coverage area; The bacterial image with the outline of the area covered by microorganisms is converted into a binary image; A pixel counting algorithm is used to count the number of pixels in the microbial coverage area, and the number of pixels is converted into coverage area based on the image resolution and the scaling factor of the device that captures and uploads the image; The area ratio of the coverage area is obtained by proportional calculation, and the degree of water pollution is evaluated based on the area ratio.

2. A real-time monitoring method for secondary biological contamination of piped drinking water according to claim 1, characterized in that: The calculated area ratio is compared with the preset warning threshold. Once the warning threshold is exceeded, the warning mechanism is triggered immediately.

3. A real-time monitoring method for secondary biological contamination of piped drinking water according to claim 2, characterized in that: A pipe wall microbial contamination database is constructed, and an early warning threshold is set according to the contamination data in the pipe wall microbial contamination database.

4. A real-time monitoring system for secondary biological contamination of direct drinking water from a pipeline, characterized in that: It includes a monitoring instrument and a cloud server connected to the monitoring instrument; The monitoring instrument is embedded in the branch pipeline, and a transparent observation window is fixedly provided at the bottom thereof. A shooting and uploading integrated device is fixedly provided inside the monitoring instrument above the transparent observation window. The bacterial image of the pipe wall is collected through the transparent observation window and transmitted to the cloud server; the cloud server evaluates the degree of water pollution based on the received bacterial image of the pipe wall.

5. A real-time monitoring system for secondary biological contamination of piped drinking water as claimed in claim 4, characterized in that: The branch pipeline is connected and arranged on the direct drinking water pipeline.

6. A real-time monitoring system for secondary biological contamination of piped drinking water as claimed in claim 5, characterized in that: The branch pipeline comprises a water inlet pipe, a detection pipe and a water outlet pipe which are connected in sequence.

7. A real-time monitoring system for secondary biological contamination of piped drinking water as claimed in claim 6, characterized in that: A monitoring instrument is embedded in the detection tube.

8. A real-time monitoring system for secondary biological contamination of piped drinking water as claimed in claim 4, characterized in that: The integrated shooting and uploading device is provided with a microscope embedded therein, and the microscope is aimed at a transparent observation window.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps in a real-time monitoring method for secondary biological contamination of piped drinking water as described in any one of claims 1 to 3 are implemented.

10. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps in the real-time monitoring method for secondary biological contamination of piped drinking water as described in any one of claims 1-3 are implemented.

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