Drainage pipeline multi-parameter detection device and use method

Abstract

The invention belongs to the technical field of sewage pipeline detection, and relates to a drainage pipeline multi-parameter detection device and a use method.The drainage pipeline multi-parameter detection device comprises a pipeline model, a plurality of detection electrodes are distributed on the outer side wall of the pipeline model in the circumferential direction, the multiple sensor detection electrodes are connected with an integrated board circuit, and the integrated board circuit is connected with a power storage communication module; the power storage communication module is sequentially connected with the solar panel and the data receiving module; during detection, the end part of the pipeline model is connected in series with the sewage pipeline to be detected, and sewage flows into the pipeline model through the sewage pipeline, so that the integrity and the sealing performance of the pipeline are kept, the installation process is greatly simplified, and the data acquisition process is not influenced by the pipeline material and the pipeline inner wall environment; the multi-dimensional information of the fluid can be synchronously obtained in a non-intrusive mode, the problems that a traditional intrusive sensor is difficult to install, prone to corrosion and blockage and frequent in maintenance are solved, and the accuracy of collected data is higher.

Description

Technical Field

[0001] This invention belongs to the field of sewage pipeline testing technology, and relates to a multi-parameter testing device for drainage pipelines and its usage method. Background Technology

[0002] With the increasing demands for smart cities and environmental protection, more stringent and precise requirements have been placed on monitoring the fluid state (such as water level, water quality, and sedimentation) within urban drainage pipes. Because the fluid composition within pipes is complex, often consisting of a multiphase mixture of gas, liquid, and solid, and its parameters such as pH value, flow rate, and solid content are dynamically changing, real-time, synchronous, and online monitoring of these multiple parameters is a crucial step in achieving intelligent operation of drainage systems, flood warnings, and pollution source tracing.

[0003] Currently, online monitoring sensors for drainage pipelines can be divided into two types: invasive and non-invasive. Invasive sensors (such as pH electrodes and ultrasonic level gauges that directly contact sewage) have advantages such as intuitive principles and low initial costs. However, they also have varying degrees of problems: the sensor probes are directly exposed to the harsh sewage environment, making them susceptible to corrosion, scaling, or damage from impacts by solid debris, leading to a rapid decline in measurement accuracy, short service life, and high maintenance costs; moreover, they can only acquire a single parameter at a time, failing to comprehensively reflect the complex fluid state within the pipeline. Non-invasive sensors (such as clamp-on ultrasonic flow meters and external pipeline imaging technology) have the advantage of not contacting the fluid, but they are often complex to install, requiring openings in the outer wall of the pipeline or precise coupling, which can compromise pipeline integrity; their measurement accuracy is easily affected by pipeline material, lining, and external environment; and the equipment is usually a large, stand-alone unit, making installation in narrow underground pipe corridors or manholes inconvenient, and highly susceptible to damage from surrounding environmental pressure, making long-term stable operation difficult. Summary of the Invention

[0004] The purpose of this invention is to solve the problems in the prior art where sensor probes are directly exposed to the water environment, which is easily damaged, leading to a decrease in measurement accuracy; or where holes need to be opened on the outer wall of the pipe or fine coupling is required, which damages the pipe; and where non-invasive detection is easily affected by the pipe material and pipe wall environment, resulting in low accuracy of the collected detection data. The invention provides a multi-parameter detection device for drainage pipes and a method for using it.

[0005] To achieve the above objectives, the present invention employs the following technical solution: A multi-parameter detection device for drainage pipes includes a pipe model, with a plurality of detection electrodes distributed circumferentially on the outer side wall of the pipe model. Each of the plurality of sensor detection electrodes is connected to an integrated circuit board, which is connected to a battery-powered communication module. The battery-powered communication module is sequentially connected to a solar panel and a data receiving module. During testing, the end of the pipe model is connected in series with the sewage pipe to be tested, and the sewage flows into the pipe model through the sewage pipe.

[0006] A further improvement of the present invention is that: The outer wall of the pipeline model is axially arranged with a circuit board base and a sensor electrode base. The integrated circuit board has several circuits spaced apart along the circumferential direction of the circuit board base. The sensor detection electrodes are distributed circumferentially along the sensor electrode base; The energy storage communication module is mounted on the circuit board base.

[0007] A dedicated mounting slot is provided on the circuit board base, and the energy storage communication module is installed in the dedicated mounting slot.

[0008] The energy storage communication module includes an ESP32-S2 chip, which is connected to the battery. The integrated board circuit is connected to the ESP32-S2 chip.

[0009] The circuit board base and the sensor electrode base are covered with protective covers.

[0010] The protective cover includes two opposing semi-circular covers that fit together to wrap around the outside of the circuit board base and the sensor electrode base.

[0011] The pipe model is equipped with connecting flanges at both ends.

[0012] The data receiving module is a PCB antenna.

[0013] The integrated board circuit has four connections, and each integrated board circuit has four connection ports. Each connection port is connected to a corresponding sensor detection electrode through an ERT electrode line.

[0014] A method of using the detection device according to claim 1 includes the following steps: Connect the pipe model in series at the end or middle of the sewage pipe to be tested, so that the sewage in the sewage pipe to be tested flows into the pipe model. The boundary electrical signals of the fluid flowing through the pipe model are collected by several circumferentially distributed detection electrodes, and the boundary electrical signals are sent to the data receiving module in sequence through the integrated board circuit and the energy storage communication module. The data receiving module sends data to the remote monitoring platform to obtain the detection data.

[0015] Compared with the prior art, the present invention has the following beneficial effects: This invention discloses a multi-parameter detection device for drainage pipelines. A pipeline model is directly connected in series with an existing drainage pipeline. Detection electrodes are arranged circumferentially on the outer wall of the model and connected to an integrated circuit and communication energy storage module. Combined with solar power supply and wireless data transmission, it achieves non-invasive, integrated, real-time intelligent monitoring of multiple parameters of sewage within the pipeline. The series connection eliminates the need for drilling, welding, or damaging the pipe wall structure, maintaining the integrity and sealing of the pipeline while greatly simplifying the installation process. Furthermore, the data acquisition process is unaffected by the pipe material or the internal pipe environment. The circumferentially evenly distributed electrode array performs cross-sectional coverage electrical signal acquisition of the sewage flowing through the model, enabling non-invasive, simultaneous acquisition of multi-dimensional fluid information. This overcomes the problems of traditional invasive sensors, such as difficult installation, easy corrosion, easy clogging, and frequent maintenance. The energy storage and communication module, powered by a solar panel, enables autonomous power supply and wireless data transmission in environments without external power or network access, eliminating reliance on on-site wiring. This provides greater flexibility for different scenarios and higher accuracy in data acquisition. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a three-dimensional schematic diagram of the overall structure of the intelligent monitoring device for multiple parameters of drainage pipelines described in this invention; Figure 2 This is an exploded view of the intelligent monitoring device for multiple parameters of drainage pipelines described in this invention; Figure 3 This is an axial cross-sectional view of the intelligent monitoring device for multiple parameters of drainage pipelines described in this invention.

[0018] The components are: 1-pipe model; 2-protective cover; 3-integrated board circuit; 4-circuit board base; 5-energy storage and communication module; 6-sensor detection electrode; 7-ERT electrode line; 8-dedicated mounting slot; 9-circuit board slot; 10-solar panel; 11-data receiving module; 12-flange. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, 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 only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0020] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0021] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0022] In the description of the embodiments of the present invention, it should be noted that if terms such as "upper," "lower," "horizontal," or "inner" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship commonly used when the product of the invention is in use, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention. Furthermore, terms such as "first" and "second" are only used to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0023] Furthermore, the use of the term "horizontal" does not imply that the component must be absolutely horizontal, but rather that it can be slightly tilted. For example, "horizontal" simply means that its direction is more horizontal than "vertical," and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0024] In the description of the embodiments of the present invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "set," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in the present invention according to the specific circumstances.

[0025] The present invention will now be described in further detail with reference to the accompanying drawings: See Figures 1 to 3This invention discloses a multi-parameter detection device for drainage pipelines, which combines multi-electrode array sensing technology with intelligent algorithms to form a non-invasive, integrated columnar ring measurement device. The device is directly connected to the pipeline to realize real-time online measurement and remote transmission of multiple parameters such as pH value, water level, solid content and flow velocity of the fluid in the pipeline. In practical applications, the data is subsequently divided into time segments and analyzed by electrical impedance tomography (ERT) technology.

[0026] Example 1 See Figure 1 This embodiment discloses a multi-parameter detection device for drainage pipes, including a pipe model 1. Several detection electrodes are distributed circumferentially on the outer wall of the pipe model 1. The several sensor detection electrodes are all connected to an integrated circuit board 3. The integrated circuit board 3 is connected to a power storage and communication module. The power storage and communication module is connected in sequence to a solar panel 10 and a data receiving module 11. During detection, the end of the pipe model 1 is connected in series with the sewage pipe to be detected, and the sewage flows into the interior of the pipe model 1 through the sewage pipe.

[0027] Furthermore, in this embodiment, the pipe model 1 is a steel pipe model, and connecting flanges 12 are provided at both ends of the pipe model 1.

[0028] Furthermore, in this embodiment, each integrated circuit board has four circuit lines leading out to connect to the measuring electrodes. These electrodes are made of a corrosion-resistant alloy material and have an inert protective layer plated on their surface. The integrated circuit board is connected to the sensor detection electrode 6 via the circuit lines, and boundary measurement data is acquired using a single-electrode excitation measurement method. The circuit line conductor is made of tin-plated oxygen-free copper, and the insulating layer is made of polytetrafluoroethylene (PTFE). Specifically, the circuit line includes: The outer wall of the pipeline model 1 is axially arranged with a circuit board base 4 and a sensor electrode base. The integrated circuit 3 is distributed in several intervals along the circumference of the circuit board base 4, the sensor detection electrode is distributed along the circumference of the sensor electrode base, and the energy storage communication module is integrated on the circuit board base 4.

[0029] Furthermore, in this embodiment, a circuit board slot 9 is formed on the circuit board base 4, and the integrated circuit board 3 is installed in the circuit board slot 9.

[0030] Furthermore, in this embodiment, the circuit board base 4 is divided into four parts, and the four parts of the circuit board base are circumferentially spaced and wrapped around the pipe model 1. The circuit board base 4 is tightly fixed to the pipe model 1 by corrosion-resistant stainless steel bolts, and an integrated circuit board 3 is installed on each of the four parts of the circuit board base.

[0031] Furthermore, in this embodiment, four integrated circuit boards 3 are provided, and four connection ports are opened on each integrated circuit board 3. Each connection port is connected to a corresponding sensor detection electrode 6 through an ERT electrode line 7. The surface of the sensor detection electrode 6 is coated with a dense titanium nitride (TiN) protective film to cope with chemical corrosion and physical wear in the sewage environment.

[0032] Furthermore, in this embodiment, a dedicated mounting slot 8 is provided on the circuit board base 4, and the energy storage communication module 5 is set in the dedicated mounting slot 8. The energy storage communication module 5 includes an ESP32-S2 chip, which is connected to the battery, and the integrated board circuit 3 is connected to the ESP32-S2 chip.

[0033] Furthermore, in this embodiment, the ESP32-S2 chip supports the Wi-Fi wireless communication protocol (TCP / IP) to transmit measurement data to an external PCB antenna, which then remotely uploads the data to the monitoring platform and receives instructions from the platform.

[0034] Furthermore, this embodiment also includes an arc-shaped steel protective cover that covers and protects the circuit board, specifically: The protective cover 2 includes two opposing semi-circular covers. The two semi-circular covers work together to wrap around the outside of the sensor detection electrodes, forming an integrated cylindrical ring structure. The protective cover 2 is connected to the pipe model 1 by bolts, forming a sturdy, sealed, and waterproof cylindrical ring structure that can effectively resist moisture, compression, and impact in the underground pipe gallery.

[0035] Furthermore, in this embodiment, the data receiving module 11 is a PCB antenna, and the battery can be charged through an external solar panel to ensure long-term stable operation of the device in complex environments.

[0036] Example 2 This embodiment also discloses a method for using a multi-parameter detection device for drainage pipes, including the following steps: Connect pipe model 1 in series at the end or middle of the sewage pipe to be tested, so that the sewage in the sewage pipe to be tested flows into the interior of pipe model 1. The boundary electrical signals of the fluid flowing through the pipe model 1 are collected by several detection electrodes distributed around the periphery, and the boundary electrical signals are sent to the data receiving module 11 in sequence through the integrated board circuit 3 and the energy storage communication module. The data receiving module 11 sends the data to the remote monitoring platform to obtain the detection data.

[0037] This invention also discloses a process for further analyzing and processing the detected data, including the following steps: In this embodiment, the data receiving module 11 is based on the ESP32-S2 chip and supports the Wi-Fi wireless communication protocol (TCP / IP). It is used to transmit measurement data to an external PCB antenna, which then remotely uploads the data to the monitoring platform.

[0038] This embodiment utilizes the platform to process collected boundary measurement data through intelligent algorithms, identifying parameters such as pH value, water level, solid content, and flow rate. The built-in battery is a lithium-ion battery pack, connected to the wireless transmission module via wires. This battery is charged via an external solar panel.

[0039] In this embodiment, the methods used include the finite element method, the sensitivity adaptive adjustment (SAA) algorithm, the linear back projection (LBP) algorithm, and the GAIN algorithm.

[0040] The finite element method (FEM) plays a crucial role here. It doesn't directly process measurement data, but rather constructs an accurate digital "virtual pipe" model for the entire ERT system. It's used to solve the forward problem: "If the medium distribution inside the pipe is known, what voltage value should be measured on the boundary electrodes?" This is essential prior knowledge for image reconstruction.

[0041] The specific processing steps include: First, model establishment: In a computing platform, the cross-section of a pipe is divided into thousands or even more tiny, simple elements (such as triangular elements) to form a finite element mesh. This process is called "mesh generation".

[0042] Secondly, positive problem calculation: Assuming an initial medium distribution (e.g., a pipe filled with uniform sewage), the finite element method calculates the theoretical voltage that should be generated between each excitation-measurement electrode pair under this assumption by solving the governing equations of the electromagnetic field (such as the Poisson equation).

[0043] This process generates a sensitivity matrix, which describes the extent to which changes in conductivity within each cell affect the measured value of each boundary voltage.

[0044] The finite element method provides a quantitative and reliable mathematical reference framework for subsequent image reconstruction. Without this model and sensitivity matrix calculated by the finite element method, it is impossible to deduce the true condition inside the pipe from the actual measured voltage values.

[0045] Furthermore, the specific processing steps of the linear back projection algorithm include: The LBP algorithm is a commonly used image reconstruction algorithm in ERT technology. Its core task is to solve the "inverse problem," that is, to quickly reconstruct the conductivity distribution image of the pipe cross-section using the sensitivity matrix provided by the finite element method and the actual measured boundary voltage values.

[0046] First, data input: The LBP algorithm receives two key inputs: the first is a set of boundary voltage values ​​actually measured by the device's electrode array; the second is a sensitivity matrix pre-calculated using the finite element method.

[0047] Secondly, core computing: The LBP algorithm is a linear, non-iterative approximation algorithm. It directly "back-projects" the difference between the measured voltage value and a reference voltage value under a uniform field (i.e., the voltage change) back into each element of the finite element mesh. The projection weights are the correspondence represented by the sensitivity matrix. The formula simplifies to: Δσ ≈ ST · ΔV; Where Δσ is the change in conductivity, S is the sensitivity matrix, and ΔV is the change in voltage.

[0048] Finally, the output result is: Through this direct matrix operation, the LBP algorithm can generate a grayscale image of conductivity distribution very quickly. Although this image is not as accurate as that of the iterative algorithm, its speed is extremely fast, fully meeting the high real-time requirements of the equipment. This image visually displays the different distribution regions of gas, liquid, and solid phases within the pipeline.

[0049] Furthermore, the specific processing steps of the sensitivity adaptive adjustment algorithm include: The SAA algorithm is an optimization algorithm that makes the measurement and reconstruction process no longer rigid, but "intelligent" and adaptive. It significantly improves the accuracy of final parameter identification by dynamically adjusting measurement strategies or reconstruction parameters to cope with the complex and ever-changing operating conditions within the pipeline.

[0050] Detailed processing procedure: First, dynamically optimize the measurement: The fluid state within a pipe (such as solid deposition thickness and flow velocity) is variable, resulting in different "sensitivity" of conductivity distribution to boundary measurements in different regions. The SAA algorithm can analyze preliminary reconstructed images or real-time data to identify key areas with high sensitivity (such as the gas-liquid interface and deposition surface). It can then instruct the device's electrode array to increase or adjust the excitation-measurement mode near these key areas, thereby acquiring more informative data and avoiding invalid measurements.

[0051] Secondly, optimize the reconstruction process: In the image reconstruction stage, the SAA algorithm can be combined with the LBP algorithm. For example, it can adaptively select or weight different parts of the sensitivity matrix based on the current flow pattern (such as laminar flow or plug flow), or perform regional optimization on the reconstruction results to make the image closer to the real situation. This enables this embodiment to support the feature of "multimodal measurement mode, which can automatically switch measurement strategies according to different pipeline operating conditions".

[0052] The SAA algorithm ensures that the equipment will not fail or lose accuracy due to changes in operating conditions when facing complex actual drainage pipe environments, greatly enhancing the robustness and reliability of the entire system.

[0053] Furthermore, the GAIN (Generative Adversarial Interpolation Network) algorithm can interpolate low-resolution electrode data to generate high-resolution data. We apply it to water level monitoring, where this algorithm can improve the accuracy of water level estimation.

[0054] The GAIN algorithm resolves the conflict between hardware limitations and measurement accuracy: First, the measurement data of 16 electrodes, 32 electrodes and 64 electrodes in the pipeline under different water levels were simulated in the computer using MATLAB software, and the "question bank" and "answer bank" were constructed. Then, the GAIN model is trained so that its generator learns to "imagine" the corresponding 64 electrode data from the 16 electrode data, and the realism of the generated data is improved by the continuous discrimination of the discriminator until the generated data is enough to "pass for the real thing". In practical applications, after the actual 16-electrode device installed on the pipeline collects data, it is directly input into the pre-trained GAIN model to instantly obtain corresponding high-resolution virtual 64-electrode data. Finally, this AI-generated data is compared with MATLAB's simulation database to accurately determine the actual water level inside the pipeline. The software algorithm compensates for the shortcomings of the hardware, enabling the easily installed 16-electrode device to indirectly possess the high-precision measurement capabilities approaching those of a 64-electrode system.

[0055] The detection equipment disclosed in this embodiment has the following advantages: Existing testing equipment requires drilling holes in the pipeline to insert the testing probe, while our equipment is directly connected in series with the existing pipeline without damaging the pipeline structure; Traditional testing equipment requires on-site wiring and power supply, which is complex to construct and limited in areas without electricity or network. However, the testing equipment disclosed in this embodiment has a built-in battery and solar charging, and Wi-Fi wireless transmission (ESP32-S2 chip). There is no need to worry about power supply issues. It is energy-self-sufficient, requires no wiring, and is flexible in deployment, making it suitable for complex underground environments. Traditional detection equipment uses sensors with fixed potentials, making it difficult to achieve full coverage measurement of the pipe cross-section. In contrast, the detection equipment disclosed in this embodiment uses multiple electrodes evenly distributed circumferentially, enabling omnidirectional coverage of the cross-section. Traditional testing equipment consists of multiple independently installed devices, resulting in a bulky system that is difficult to install and maintain in narrow pipe racks. In contrast, the testing equipment disclosed in this embodiment features a highly integrated cylindrical ring design, with all modules integrated within a protective cover. This design is compact, small in size, easy to install, and resistant to compression, making it suitable for space-constrained environments.

[0056] This device features an integrated ring structure, allowing direct connection to existing pipelines without the need for drilling or damaging the pipe walls. Its circumferentially evenly distributed electrode array provides comprehensive monitoring of the pipeline cross-section. The device integrates wireless transmission and solar power modules, facilitating easy installation and eliminating the need for on-site wiring. Built-in intelligent algorithms flexibly adjust the electrode activation combination based on different operating conditions, achieving intelligent, adaptive, and efficient monitoring.

[0057] The above are merely preferred embodiments of the present invention and are not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A multi-parameter detection device for drainage pipes, characterized in that, The system includes a pipeline model (1), on which several detection electrodes are distributed circumferentially on the outer wall of the pipeline model (1). The several sensor detection electrodes are all connected to an integrated circuit board (3). The integrated circuit board (3) is connected to a battery storage and communication module (5). The battery storage and communication module (5) is connected to a solar panel (10) and a data receiving module (11) in sequence. During testing, the end of the pipe model (1) is connected in series with the sewage pipe to be tested, and the sewage flows into the pipe model (1) through the sewage pipe.

2. The multi-parameter detection device for drainage pipes according to claim 1, characterized in that, The outer wall of the pipeline model (1) is axially arranged with a circuit board base (4) and a sensor electrode base; The integrated board circuit (3) is distributed in several circumferentially along the base of the circuit board (4); The sensor detection electrodes are distributed circumferentially along the sensor electrode base; The energy storage communication module (5) is mounted on the circuit board base (4).

3. The multi-parameter detection device for drainage pipes according to claim 2, characterized in that, A dedicated mounting slot (8) is provided on the circuit board base (4), and the energy storage communication module (5) is installed in the dedicated mounting slot (8).

4. The multi-parameter detection device for drainage pipes according to claim 3, characterized in that, The battery communication module (5) includes an ESP32-S2 chip, which is connected to the battery. The integrated board circuit (3) is connected to the ESP32-S2 chip.

5. A multi-parameter detection device for drainage pipes according to claim 2, characterized in that, The circuit board base (4) and the sensor electrode base are covered with protective covers (2).

6. A multi-parameter detection device for drainage pipes according to claim 5, characterized in that, The protective cover (2) includes two opposing semi-circular covers that fit together to wrap around the outside of the circuit board base (4) and the sensor electrode base.

7. The multi-parameter detection device for drainage pipes according to claim 1, characterized in that, The pipe model (1) is provided with connecting flanges (12) at both ends.

8. A multi-parameter detection device for drainage pipes according to claim 1, characterized in that, The data receiving module (11) is a PCB antenna.

9. A multi-parameter detection device for drainage pipes according to claim 2, characterized in that, The integrated board circuit (3) is provided with four, and each integrated board circuit (3) has four connection ports. Each connection port is connected to a corresponding sensor detection electrode (6) through an ERT electrode line (7).

10. A method of using the detection device according to claim 1, characterized in that, Includes the following steps: Connect the pipe model (1) in series at the end or middle of the sewage pipe to be tested, so that the sewage in the sewage pipe to be tested flows into the pipe model (1). The boundary electrical signals of the fluid flowing through the pipe model (1) are collected by several detection electrodes distributed around the perimeter, and the boundary electrical signals are sent to the data receiving module (11) in sequence through the integrated board circuit (3) and the energy storage communication module. The data receiving module (11) sends the data to the remote monitoring platform to obtain the detection data.

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