High-precision self-adaptive ultrasonic flow measurement system and method for drainage pipe network

Abstract

According to the high-precision self-adaptive ultrasonic flow measurement system and method for the drainage pipe network, an ultrasonic sensor of the high-precision self-adaptive ultrasonic flow measurement system is installed in a halfpace in circular arc transition, and disturbance to the flow state can be reduced; therefore, the ultrasonic sensors are installed in the halfpace, it is ensured that the front edge of the halfpace is parallel to the central axis of the pipeline, the influence on the flow state is minimized, and therefore the measurement precision is improved; a Doppler and time difference method mixed measurement technology and an artificial intelligence algorithm are introduced; the method can adapt to different flow states and pipe network conditions, and the measurement precision of a measurement system under the conditions of low flow and variable flow is improved. A cleaning function is also added; the method comprises the following steps: firstly, preparing a sensor surface from a specially treated hydrophobic nano material to reduce sediment attachment; meanwhile, by introducing an acoustic cleaning technology and equipment, the long-term measurement stability and accuracy are ensured by regularly removing sediments on the surface of the sensor.

Description

Technical Field

[0001] The invention relates to the field of pipeline flow measurement, and in particular to a high-precision self-adaptive ultrasonic flow measurement system and method for a drainage network. Background Art

[0002] In drainage network flow measurement, accurate monitoring of the flow velocity and flow rate of the fluid in the pipe is crucial for the efficient management and maintenance of the urban drainage system. Existing technologies usually use various sensors and measurement devices to achieve this goal, but these methods face many challenges.

[0003] First, existing flow measurement equipment often disturbs the flow state in the pipe during installation, affecting the accuracy of the measurement results. The design of the sensor installation method needs to minimize the disturbance to the water flow while not changing the internal geometry of the pipe, which is crucial to improving measurement accuracy.

[0004] Secondly, under conditions of low flow rates and rapid flow changes, many flow measurement devices have poor responsiveness, resulting in large measurement errors. Therefore, developing measurement algorithms that adapt to different flow states and improving the responsiveness of sensors under these conditions are critical to achieving accurate measurements.

[0005] Additionally, deposits and impurities in the pipe can affect the normal operation of the sensor, resulting in inaccurate measurements. Designing sensor surfaces that resist or reduce deposit adhesion, and developing technologies that can maintain accurate measurements in the presence of impurities, are important factors in ensuring long-term measurement stability.

[0006] Under the condition of partially filled pipes, traditional flow measurement equipment is difficult to accurately measure flow. Therefore, improving the combination of liquid level measurement and flow velocity measurement technology and developing flow calculation models that adapt to different fullness can effectively improve the measurement accuracy of partially filled pipes.

[0007] The long-term stability and reliability of flow measurement equipment directly affect its maintenance requirements and service life. Improving the durability of sensors, reducing maintenance requirements, developing self-calibration or remote calibration technology, and ensuring long-term measurement accuracy are important means to improve equipment reliability.

[0008] Finally, a single measurement principle often cannot guarantee the absolute accuracy of the data. Developing multi-parameter comprehensive analysis technology, such as combining the measurement of multiple factors such as flow rate, liquid level, temperature, etc., and realizing cross-validation of multiple measurement principles can effectively improve the credibility of the measurement data.

[0009] In summary, the current flow measurement technology has significant measurement errors and technical bottlenecks when facing complex conditions such as low flow, variable flow, sediment, impurities, and partially filled pipes. Therefore, there is an urgent need for a high-precision adaptive ultrasonic flow measurement system and method to solve the above problems and provide effective support for the accurate measurement and management of drainage pipe networks. Summary of the invention

[0010] In response to the above technical problems, the present invention provides a high-precision adaptive ultrasonic flow measurement system and method for drainage pipe networks, which uses a sensor installation method that reduces the impact of flow states to improve measurement accuracy; and, combined with the introduction of a hybrid measurement technology that introduces Doppler and time difference methods, as well as an artificial intelligence algorithm, it adapts to different flow states and pipe network conditions to improve measurement accuracy under low flow and changing flow conditions.

[0011] In order to achieve the above technical objectives, the present invention adopts the following technical means: A drainage network comprises a pipeline, in which a flow meter and a liquid level sensor are arranged; steps are arranged in parallel on both sides of the inner wall of the pipeline, and the steps are used to wrap the flow meter; wherein the leading edge of the step is set as a plane and parallel to the central axis of the pipeline, and its two sides protrude axially along the central axis of the pipeline, and its two sides and the opposite sides of the leading edge are both in an arc-shaped structure, so as to achieve an arc transition with the pipeline, and reduce the impact on the flow state in the pipeline.

[0012] Preferably, the terraces are evenly distributed horizontally along the inner wall of the pipeline and arranged vertically, covering at least 75% of the inner diameter of the pipeline to achieve comprehensive flow velocity profile measurement.

[0013] Preferably, the surface of the flow meter is made of hydrophobic nanomaterials to reduce the adhesion of sediments and impurities.

[0014] A high-precision adaptive ultrasonic flow measurement system for a drainage network, which is used for the drainage network described above; the control system includes a central processing unit, a signal acquisition module, a data processing module, a flow rate calculation module, a flow rate calculation module, and an adaptive algorithm module; wherein the central processing unit is electrically connected to the signal acquisition module via a data line; the signal acquisition module includes a flow meter and a pressure-type liquid level sensor, wherein the flow meter adopts an ultrasonic sensor; the data processing module is used to convert the analog signal collected by the signal acquisition module into a digital signal and transmit it to the flow rate calculation module; the flow rate calculation module calculates the flow rate based on the time difference or Doppler effect of the ultrasonic signal, and transmits the flow rate data to the flow calculation module in real time; the flow calculation module calculates the flow rate based on the flow rate data and the cross-sectional area of ​​the pipeline; the adaptive algorithm module adjusts the measurement parameters and algorithms used in the data processing module, the flow rate calculation module and the flow calculation module according to the current flow state and pipeline network conditions in the pipeline.

[0015] Preferably, the data acquisition module also includes a temperature sensor and a pressure sensor; the data processing module includes an anomaly detection unit and a data correction unit; the data acquisition module is used to transmit the multi-parameter data of flow rate, liquid level, temperature and pressure in the pipeline to the data processing module; the anomaly detection unit performs cross-validation based on the received multi-parameter data to identify potential abnormal situations; the data correction unit corrects the flow data calculated by the flow calculation module based on the results of multi-parameter data analysis.

[0016] Preferably, the control system further comprises a cleaning control module, which is electrically connected to the central processing unit and is used for cleaning the data acquisition module.

[0017] A high-precision adaptive ultrasonic flow measurement method for a drainage network, the method adopts the high-precision adaptive ultrasonic flow measurement system for a drainage network described above; characterized in that the control method comprises the following steps: S1: The data acquisition module collects flow rate data using an ultrasonic sensor, collects the liquid height in the pipeline using a liquid level sensor, and collects auxiliary data using a multi-parameter sensor consisting of a temperature sensor and a pressure sensor, including multi-parameter data of temperature and pressure in the pipeline; S2: The data processing module performs the steps of signal method, filtering and denoising, and analog-to-digital conversion on the data of flow rate, liquid level, temperature and pressure in the pipeline in sequence to complete the data preprocessing, and transmits the processed signal to the flow rate calculation module; S3: The flow velocity calculation module starts to calculate the flow velocity and transmits the flow velocity data to the flow calculation module; S4: The flow calculation module starts to calculate the flow and transmits the flow data to the adaptive algorithm module; S5: The adaptive algorithm module adjusts the measurement strategies of ultrasonic sensors, liquid level sensors, temperature sensors and pressure sensors according to the real-time measured flow rate, liquid level, flow rate, temperature and parameters in the current pipeline to adapt to different flow states and pipeline network conditions.

[0018] Preferably, the flow rate is calculated using the following method: in, It is A staircase, It means shared For ultrasonic sensors, It is The cross-sectional area of ​​the terraces, It flows through The flow rate of each terrace, It means that the flow through The flow rate of each platform; The calculation method is: in, It is The height of the terrace, is the width of the pipe.

[0019] Preferably, the control method further comprises the following steps: A. The central processor evaluates the cleaning needs of the sensor surface; B. Monitor the deposits on the sensor surface through the sensor to determine the cleaning time; C. Provide timely feedback on cleaning status based on cleaning monitoring results.

[0020] The beneficial effects of the present invention are as follows: 1. The drainage network described in the present invention has ultrasonic sensors installed in terraces with circular arc transitions, which can reduce disturbances to the flow state. Therefore, the present invention installs ultrasonic sensors in these terraces to ensure that the leading edge of the terrace is parallel to the central axis of the pipeline, thereby minimizing the impact on the flow state and improving measurement accuracy.

[0021] 2. The high-precision adaptive ultrasonic flow measurement system for the drainage network described in the present invention introduces a hybrid measurement technology of Doppler and time difference methods, as well as an artificial intelligence algorithm; thereby, the present invention can adapt to different flow states and network conditions, thereby improving the measurement accuracy of the measurement system under low flow and changing flow conditions.

[0022] 3. The high-precision adaptive ultrasonic flow measurement system for the drainage network described in the present invention also has an added cleaning function. First, the sensor surface is made of specially treated hydrophobic nanomaterials to reduce sediment adhesion. At the same time, through the introduction of acoustic cleaning technology and equipment, the sediment on the sensor surface is regularly removed to ensure long-term measurement stability and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0024] The above and other aspects of the present invention will now be described, by way of example only, with reference to the accompanying drawings, in which: Figure 1 It is a structural schematic diagram of the drainage pipe network of the present invention; Figure 2 A top view of the drainage network of the present invention; Figure 3 It is a front view of the drainage pipe network of the present invention; Figure 4 A schematic diagram of a high-precision adaptive ultrasonic flow measurement system for a drainage network of the present invention; Figure 5 The present invention is a flow chart of the high-precision adaptive ultrasonic flow measurement method for the drainage network.

[0025] In the figure: 1. Flow meter housing; 2. Ladder platform; 3. Flow meter; 4. Liquid level sensor; 5. Control unit; 6. Signal line. DETAILED DESCRIPTION

[0026] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0027] According to the attached Figure 1-3It can be seen that in this embodiment, this embodiment provides a drainage network, including a pipeline, in which a flow meter 3 and a liquid level sensor 4 are arranged; steps 2 are arranged in parallel on both sides of the inner wall of the pipeline, and the steps 2 are used to wrap the flow meter 3; wherein the front edge of the step 2 is set to be a plane and parallel to the central axis of the pipeline, and its two sides protrude axially along the central axis of the pipeline, and its two sides and the opposite sides of the front edge are both in an arc-shaped structure; that is, the step 2 presents a series of stepped platforms or bosses on the surface of the inner wall of the pipeline, realizing an arc transition with the pipeline, which is used to reduce the impact on the flow state in the pipeline and maintain the stability of the fluid flow. In addition, the two sides of the step 2 protrude axially along the central axis of the pipeline, that is, the structure of the step 2 has inward and outward protruding parts. This design makes the inner wall surface of the pipeline form a complex geometric shape, which is conducive to reducing the disturbance of the fluid flow and the generation of vortices.

[0028] At the same time, the design of the platform 2 does not affect the basic function and use of the pipeline and is compatible with the existing pipeline system.

[0029] Furthermore, the steps 2 are evenly distributed in the horizontal direction along the inner wall of the pipeline and arranged vertically, covering at least 75% of the inner diameter of the pipeline, thereby ensuring a comprehensive measurement of the flow velocity profile; thereby, a comprehensive flow velocity profile measurement is achieved; the present invention achieves measurement of the comprehensive flow velocity profile through vertical arrangement, including the flow velocity conditions at the bottom, middle and top of the pipeline.

[0030] At the same time, adjacent sensors maintain uniform spacing in the horizontal direction to ensure the uniformity of data collection points.

[0031] Furthermore, the surface of the flow meter 3 is made of hydrophobic nanomaterials to reduce the adhesion of sediments and impurities.

[0032] Specifically, the present invention integrates a pressure-type liquid level sensor 4 to measure the filling height of the medium in the pipeline, thereby improving the flow measurement accuracy of a partially filled pipeline. For a partially filled pipeline, conventional flow measurement methods may have certain errors, and the integrated liquid level sensor 4 can improve the measurement accuracy. At the same time, the flow meter 3 is calibrated: by real-time monitoring of the filling height of the medium in the pipeline, the flow meter 3 can be calibrated to improve the accuracy of flow measurement.

[0033] According to the attached Figure 4It can be seen that the present invention designs a high-precision adaptive ultrasonic flow measurement system for drainage pipe network, which is used for the drainage pipe network described above; the control system includes a central processing unit, a signal acquisition module, a data processing module, a flow rate calculation module, a flow meter 3 calculation module, and an adaptive algorithm module; wherein the central processing unit is electrically connected to the signal acquisition module through a data line; the signal acquisition module includes a flow meter 3 and a pressure-type liquid level sensor 4, wherein the flow meter 3 adopts an ultrasonic sensor; the data processing module is used to convert the analog signal collected by the signal acquisition module into a digital signal and transmit it to the flow rate calculation module; the flow rate calculation module calculates the flow rate based on the time difference or Doppler effect of the ultrasonic signal, and transmits the flow rate data to the flow meter 3 calculation module in real time; the flow meter 3 calculation module calculates the flow based on the flow rate data and the cross-sectional area of ​​the pipeline; the adaptive algorithm module adjusts the measurement parameters and algorithms used in the data processing module, the flow rate calculation module and the flow meter 3 calculation module according to the current flow state and pipe network conditions in the pipeline.

[0034] Among them, the central processing unit (CPU) is connected to all other modules and plays the core control function; the central processing unit controls the signal acquisition module through the sensor driver module, and the sensor driver module is connected to different types of sensors (ultrasonic, liquid level, temperature, etc.) to assist the central processing unit in controlling the signal acquisition module.

[0035] Among them, the data acquisition module also includes a temperature sensor and a pressure sensor; the data processing module includes an anomaly detection unit and a data correction unit; the data acquisition module is used to transmit the multi-parameter data of flow rate, liquid level, temperature and pressure in the pipeline to the data processing module; the anomaly detection unit performs cross-validation based on the received multi-parameter data to identify potential abnormal situations; the data correction unit corrects the flow data calculated by the flow meter module according to the results of multi-parameter data analysis.

[0036] In addition, the control system designed by the present invention also includes a storage module, which is connected to the CPU by bidirectional signals; at the same time, it also includes a communication interface module, which includes two sub-modules: wireless communication and wired communication, for realizing remote control of the user; in the control system, there are also a power management module and a system monitoring module, which respectively realize the power supply to each module of the control system and the monitoring and management of each module by the CPU.

[0037] Specifically, the ultrasonic sensors in the data acquisition module are evenly distributed along the inner wall of the pipeline, continuously emitting and receiving ultrasonic signals. The liquid level sensor 4 monitors the liquid height in the pipeline in real time. In addition, the multi-parameter sensor (including temperature sensor and pressure sensor) uses temperature, pressure, conductivity and other sensors to collect auxiliary parameter data.

[0038] Specifically, to facilitate subsequent signal processing, the data processing module will process the original signal in the order of signal amplification, filtering and denoising, and analog-to-digital conversion.

[0039] It should be specifically noted that when the flow meter 3 calculation module calculates the flow rate, the parameters of the pipe cross-sectional area used need to take the current liquid level into consideration.

[0040] Among them, the adaptive algorithm can adapt to different flow states; by developing an adaptive algorithm, it can automatically adjust the measurement parameters and algorithms according to the flow state of the fluid in the pipeline (such as laminar flow, turbulent flow, transitional flow) to improve measurement accuracy; at the same time, it can adapt to different pipeline network conditions. For different pipeline network conditions (such as pipe diameter, flow rate range, etc.), the adaptive algorithm can adjust the measurement strategy to improve adaptability and reliability.

[0041] Among them, Doppler technology can be combined with the time difference method to measure flow velocity. By introducing Doppler technology and combining it with the time difference method to measure flow velocity, it can meet the measurement needs under low flow and changing flow conditions; and it can improve the measurement accuracy, that is, Doppler technology can more accurately measure the movement speed and direction of the fluid, thereby improving the measurement accuracy and reliability.

[0042] In addition, the control system also includes a cleaning control module, which is electrically connected to the central processing unit and is used to clean the data acquisition module.

[0043] In addition, the control system designed in the present invention also includes edge computing processing functions, which are divided into three major processing functions: real-time analysis: real-time data processing and analysis on edge devices; abnormal alarm: triggering an alarm mechanism when an abnormal situation is detected; data compression: compressing the data to be transmitted to reduce the transmission burden.

[0044] In addition, the control system designed in the present invention also includes a data storage function, which specifically includes two major storage functions: local storage: storing processed data in a local storage device and regular data backup: regularly backing up data to ensure data security.

[0045] In addition, the control system designed in the present invention also includes wireless communication transmission functions, specifically including: data encryption: encrypting the data to be transmitted; wireless transmission: transmitting data through wireless communication modules such as 4G / 5G or NB-IoT; transmission confirmation: ensuring that the data is successfully transmitted to the remote server.

[0046] In addition, the control system designed in the present invention also includes remote monitoring and management functions, which specifically include: data display: real-time display of flow, water quality and other data on the remote monitoring platform; system status monitoring: monitoring equipment operating status, battery power, etc.; remote control: support remote parameter adjustment, system upgrade and other operations and other specific monitoring and management functions.

[0047] In addition, the control system designed in the present invention also includes feedback and optimization, which can evaluate system performance based on long-term operating data; thereby, users can update and expand the functions of the software according to needs, and continuously optimize the adaptive algorithm and analysis model according to actual results.

[0048] According to the attached Figure 5 The working principle of the present application is specifically described below, that is, a high-precision adaptive ultrasonic flow measurement method for a drainage network, which adopts the high-precision adaptive ultrasonic flow measurement system for a drainage network described above; it is characterized in that the control method comprises the following steps: S1: The data acquisition module collects flow rate data using an ultrasonic sensor, collects the liquid height in the pipeline using a liquid level sensor, and collects auxiliary data using a multi-parameter sensor consisting of a temperature sensor and a pressure sensor, including multi-parameter data of temperature and pressure in the pipeline; S2: The data processing module performs the steps of signal method, filtering and denoising, and analog-to-digital conversion on the data of flow rate, liquid level, temperature and pressure in the pipeline in sequence to complete the data preprocessing, and transmits the processed signal to the flow rate calculation module; S3: The flow velocity calculation module starts to calculate the flow velocity and transmits the flow velocity data to the flow calculation module; S4: The flow calculation module starts to calculate the flow and transmits the flow data to the adaptive algorithm module; S5: The adaptive algorithm module adjusts the measurement strategies of ultrasonic sensors, liquid level sensors, temperature sensors and pressure sensors according to the real-time measured flow rate, liquid level, flow rate, temperature and parameters in the current pipeline to adapt to different flow states and pipeline network conditions.

[0049] Among them, the flow rate can be measured using the following calculation method: in, It is A staircase, It means shared For ultrasonic sensors, It is The cross-sectional area of ​​the terraces, It flows through The flow rate of each terrace, It means that the flow through The flow rate of each platform; The calculation method is: in, It is The height of the terrace, is the width of the pipe.

[0050] At the same time, the control method can also implement pipeline cleaning by the following steps: A. The central processor evaluates the cleaning needs of the sensor surface; B. Monitor the deposits on the sensor surface through the sensor to determine the cleaning time; C. Provide timely feedback on cleaning status based on cleaning monitoring results.

Claims

1. A drainage network, comprising a pipeline, wherein a flow meter (3) and a liquid level sensor (4) are arranged in the pipeline; the characteristics are: Steps (2) are arranged in parallel on both sides of the inner wall of the pipeline, and the step (2) is used to wrap the flow meter (3); wherein the front edge of the step (2) is set to be a plane and parallel to the central axis of the pipeline, and its two sides protrude axially along the central axis of the pipeline, and its two sides and the opposite sides of the front edge are both in an arc-shaped structure, so as to achieve an arc transition with the pipeline, and reduce the impact on the flow state in the pipeline.

2. The drainage pipe network according to claim 1, characterized in that: The steps (2) are evenly distributed in the horizontal direction along the inner wall of the pipeline and arranged vertically, covering at least 75% of the inner diameter of the pipeline, thereby achieving comprehensive flow velocity profile measurement.

3. The drainage pipe network according to claim 2, characterized in that: The surface of the flow meter (3) is made of hydrophobic nanomaterial to reduce the adhesion of sediment and impurities.

4. A high-precision adaptive ultrasonic flow measurement system for a drainage network, which is used for the drainage network described in any one of claims 1 to 3 above; characterized in that: The control system comprises a central processing unit, a signal acquisition module, a data processing module, a flow rate calculation module, a flow meter (3) calculation module, and an adaptive algorithm module; wherein the central processing unit is electrically connected to the signal acquisition module via a data line; the signal acquisition module comprises a flow meter (3) and a pressure-type liquid level sensor (4), wherein the flow meter (3) adopts an ultrasonic sensor; the data processing module is used to convert the analog signal collected by the signal acquisition module into a digital signal and transmit it to the flow rate calculation module; the flow rate calculation module calculates the flow rate based on the time difference or Doppler effect of the ultrasonic signal, and transmits the flow rate data to the flow meter (3) calculation module in real time; the flow meter (3) calculation module calculates the flow rate based on the flow rate data and the cross-sectional area of ​​the pipeline; and the adaptive algorithm module adjusts the measurement parameters and algorithms used in the data processing module, the flow rate calculation module, and the flow meter (3) calculation module according to the current flow state and pipe network conditions in the pipeline.

5. The high-precision adaptive ultrasonic flow measurement system for drainage pipe network according to claim 4, characterized in that: The data acquisition module also includes a temperature sensor and a pressure sensor; the data processing module includes an anomaly detection unit and a data correction unit; the data acquisition module is used to transmit multi-parameter data of flow rate, liquid level, temperature and pressure in the pipeline to the data processing module; the anomaly detection unit performs cross-validation based on the received multi-parameter data to identify potential abnormal situations; the data correction unit corrects the flow data calculated by the flow meter (3) calculation module based on the results of the multi-parameter data analysis.

6. The high-precision adaptive ultrasonic flow measurement system for drainage pipe network according to claim 4, characterized in that: The control system also includes a cleaning control module, which is electrically connected to the central processing unit and is used to clean the data acquisition module.

7. A high-precision adaptive ultrasonic flow measurement method for a drainage network, the method adopting the high-precision adaptive ultrasonic flow measurement system for a drainage network as described in any one of claims 4 to 6; characterized in that: The control method comprises the following steps: S1: The data acquisition module collects flow rate data using an ultrasonic sensor, collects the liquid height in the pipeline using a liquid level sensor, and collects auxiliary data using a multi-parameter sensor consisting of a temperature sensor and a pressure sensor, including multi-parameter data of temperature and pressure in the pipeline; S2: The data processing module performs the steps of signal method, filtering and denoising, and analog-to-digital conversion on the data of flow rate, liquid level, temperature and pressure in the pipeline in sequence to complete the data preprocessing, and transmits the processed signal to the flow rate calculation module; S3: The flow velocity calculation module starts to calculate the flow velocity and transmits the flow velocity data to the flow calculation module; S4: The flow calculation module starts to calculate the flow and transmits the flow data to the adaptive algorithm module; S5: The adaptive algorithm module adjusts the measurement strategies of ultrasonic sensors, liquid level sensors, temperature sensors and pressure sensors according to the real-time measured flow rate, liquid level, flow rate, temperature and parameters in the current pipeline to adapt to different flow states and pipeline network conditions.

8. The high-precision adaptive ultrasonic flow measurement method for a drainage network according to claim 7, characterized in that: The flow rate is calculated using the following method: in, It is A staircase, It means shared For ultrasonic sensors, It is The cross-sectional area of ​​the terraces, It flows through The flow rate of each terrace, It means that the flow through The flow rate of each platform; The calculation method is: in, It is The height of the terrace, is the width of the pipe.

9. The high-precision adaptive ultrasonic flow measurement method for a drainage network according to claim 7, characterized in that: The control method further comprises the following steps: A. The central processor evaluates the cleaning needs of the sensor surface; B. Monitor the deposits on the sensor surface through the sensor to determine the cleaning time; C. Provide timely feedback on cleaning status based on cleaning monitoring results.

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