Method and system for dynamic intelligent monitoring of sewer pipes

Abstract

This invention discloses a dynamic intelligent monitoring method and system for drainage pipelines, comprising: deploying a vertical elastic monitoring structure at the bottom of the drainage network to monitor minute displacements of the pipe body and the attenuation state of the supporting structure in real time; deploying a volatile organic compound (VOC) monitoring structure at the upper part of the bends from horizontal to vertical pipes in the drainage network to monitor the concentration of volatile gases derived from bacterial contamination in the water accumulation area in real time; distributing buoyancy monitoring structures along the flow path of the drainage network to monitor the buoyancy data of the liquid in the pipeline in real time; calculating the flow velocity of the liquid in the corresponding pipeline based on the distributed buoyancy data, and combining the monitoring data of the solid content and particle size of the fluid in the pipeline to calculate the degree of damage difference of pipelines with different inner diameters. This method can adapt to drainage networks with different terrains, the overall implementation steps are simple and efficient, the installation of each monitoring structure and sensor is convenient, no large-scale modification of the existing pipeline network is required, and it has good engineering applicability.

Description

Technical Field

[0001] This invention relates to the field of urban drainage network operation and maintenance management technology, and more specifically, to a dynamic intelligent monitoring method and system for drainage pipelines. Background Technology

[0002] Currently, urban drainage pipe networks are a crucial component of urban infrastructure, responsible for the collection and transportation of rainwater and sewage. Their safe and stable operation directly impacts the city's ecological environment, residents' quality of life, and flood control and drainage capabilities. With rapid urban development, the coverage of drainage pipe networks is continuously expanding, and the terrain conditions for pipe laying are becoming increasingly complex. These networks often adopt a layout where several small-diameter pipes converge upstream to a large-diameter pipe downstream. Simultaneously, the increasing service life of the pipe network is highlighting issues such as pipe aging and structural degradation, placing higher demands on the operation and maintenance management of drainage pipe networks. There is an urgent need for precise, efficient, and real-time dynamic monitoring technologies to achieve intelligent management and control throughout the entire lifecycle of the pipe network.

[0003] In existing technologies, a series of monitoring methods have been established for the operation and maintenance management of urban drainage pipe networks, covering basic aspects such as pipe appearance inspection, pressure monitoring, and flow statistics. However, when facing core and critical issues in the operation of the pipe network, the existing monitoring processes have significant deficiencies in their ability to solve these problems, making it difficult to meet the needs of intelligent and refined operation and maintenance. The specific deficiencies are as follows: Firstly, there is a lack of control over the overall support collapse of branch pipelines. Existing processes focus more on detecting damage to the pipe itself, making it difficult to monitor the subtle displacement of the pipe and the attenuation of the support structure in real time. The initial signs of support collapse cannot be detected in time. Under special conditions such as the flood season, the phenomenon of pipe displacement will continue to intensify, which will eventually easily lead to serious failures such as pipe joint detachment and pipe breakage, affecting the overall water conveyance function of the pipeline network. Secondly, there is a lack of control over bacterial contamination in waterlogged areas. Local waterlogged areas in drainage pipe networks are prone to forming anaerobic environments, leading to excessive bacterial growth. This not only produces toxic and harmful gases such as hydrogen sulfide, but also releases foul odors. These pollutants can further infiltrate and contaminate the surrounding soil and groundwater. However, existing processes lack real-time monitoring and early warning methods for bacterial concentration and derivative pollutants, making it difficult to take timely control measures in the early stages of pollution. Third, the analysis of pipe defects is insufficient. When defects such as local damage or leakage at the joints occur in the pipe, it will cause a sudden drop or irregular fluctuation in the pressure inside the pipe. The pressure field inside the pipe shows the characteristics of overall change. The existing process can only make a rough deduction from the pressure data of the main pipe, and cannot accurately identify the specific location and severity of the defects in the pipe, which increases the difficulty and cost of pipeline maintenance. Fourth, there is a lack of a terrain-differentiated assessment system. Drainage pipe networks span different terrain areas. Pipes in high terrain locations have lower pressure, while those in low terrain locations have higher pressure. Furthermore, there are significant differences in the operating conditions and loss rates between upstream small-diameter pipes and downstream large-diameter pipes. However, the existing process uses a uniform life assessment standard and operation and maintenance strategy, which leads to over-maintenance or delayed operation and maintenance assessments in different pipe networks. Pipe defects are difficult to be adapted and handled, and accurate data support cannot be provided for targeted operation and maintenance. Summary of the Invention

[0004] Therefore, the present invention provides a dynamic intelligent monitoring method and system for drainage pipelines to solve the above-mentioned technical problems in the operation and maintenance management of drainage pipeline networks in the prior art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: A method for dynamic intelligent monitoring of drainage pipelines includes the following steps: A vertical elastic monitoring structure is installed at the bottom of the drainage pipe network to monitor the minute displacements of the pipe body and the attenuation of the supporting structure in real time. A volatile organic compound (VOC) monitoring structure is installed on the upper part of the bends from horizontal to vertical pipes in the drainage network to monitor the concentration of volatile gases derived from bacterial contamination in the water accumulation area in real time. A distributed buoyancy monitoring structure is deployed along the flow path of the drainage pipe network to monitor the buoyancy data of the liquid in the pipe in real time. The flow velocity of the liquid in the corresponding pipeline is calculated based on distributed buoyancy data. Combined with monitoring data on the solid content of the fluid and the size of solid particles in the pipeline, the degree of damage difference of pipelines with different inner diameters is calculated.

[0006] Based on the above technical solution, the present invention is further described as follows: As a further aspect of the present invention The aforementioned vertical elastic force monitoring structure installed at the bottom of the drainage pipe network specifically includes: Select an elastic element and arrange its elastic force direction vertically. Place one end of the elastic element against the bottom of the pipeline and the other end against the pressure detection element. By receiving pressure signals transmitted by the elastic element in real time through pressure detection elements and monitoring signal changes, the system can monitor minute displacements of the pipe or attenuation of the support structure.

[0007] As a further aspect of the present invention The aforementioned vertical elastic force monitoring structure installed at the bottom of the drainage pipe network specifically includes: A telescopic protective structure may be provided on the outer side of the elastic element; The telescopic protective structure includes a telescopic tube or a telescopic folding tube. The telescopic protective structure is sleeved on the outside of the elastic element to protect the elastic element and prevent dirt from adhering to the tube and affecting the elastic force transmission effect of the elastic element.

[0008] As a further aspect of the present invention The aforementioned volatile organic compound (VOC) monitoring structure, installed on the upper part of the bend between horizontal and vertical pipes in the drainage pipe network, specifically includes: The volatile organic compound sensor is placed at the upper part of the bend where the horizontal and vertical pipes connect. The sensor is activated by the splashing droplets or volatiles generated by the water flowing and colliding at the bend.

[0009] As a further aspect of the present invention The distributed buoyancy monitoring structure along the pipeline flow path of the drainage network specifically includes: The buoyancy gauges are distributed along the flow path of the drainage network. All buoyancy gauges are mounted on the top of the inner wall of the pipeline and extend downwards to the liquid flow area inside the pipeline. The top-mounted installation method can reduce the risk of debris inside the pipeline getting stuck on the buoyancy gauge. Buoyancy gauges are installed in the stable sections of the upstream small-diameter pipes and the downstream large-diameter pipes.

[0010] As a further aspect of the present invention The calculation of the flow velocity of the liquid in the corresponding pipeline based on distributed buoyancy data specifically includes: For pipelines with different inner diameters upstream and downstream, static buoyancy data of the liquid in the pipeline under zero flow velocity is obtained, and then real-time buoyancy data of the buoyancy meter under flowing conditions is collected. The difference between the real-time buoyancy data and the static buoyancy data is calculated to obtain dynamic pressure lift data. Based on the correlation formula between dynamic pressure lift data and flow velocity, the real-time flow velocity of the liquid in the pipeline is calculated, and the flow velocity is positively correlated with the square root of the dynamic pressure lift data. Based on the physical relationship between dynamic lift data and flow velocity, a correlation formula is established between the two. The correlation formula is as follows: in, This represents the real-time flow rate of the liquid within the pipeline. For instrument calibration coefficients, To monitor the difference between buoyancy data and static buoyancy data in real time; Instrument calibration coefficient The actual flow velocity in the pipeline at a specific moment is determined through on-site calibration, i.e., by using flow velocity detection equipment. Simultaneously, dynamic lift data at that moment were collected. Substituting into the formula, we get: After calibration, This is a fixed value; it can be directly substituted into the formula to calculate the real-time flow rate. The buoyancy gauges of each small-diameter pipe upstream and the large-diameter pipe downstream are calibrated separately.

[0011] As a further aspect of the present invention The method combines monitoring data on the solid content of the fluid inside the pipe and the size of solid particles to calculate the degree of damage differences in pipes with different inner diameters, specifically including: Solid content sensors and solid particle size sensors are installed in the upstream small-diameter pipes and the downstream large-diameter confluence pipes of the drainage network to collect solid content data of the fluid in the pipes in real time. and average particle size data of solid particles And continuously transmit the data to the intelligent electronic control module; The flow direction within the drainage network was determined to be from the convergence of several small-diameter pipes upstream to a large-diameter pipe downstream. This was based on the calculated flow velocity of each pipe, combined with solid content data. Average particle size data of solid particles Determine the flow velocity index of pipeline erosion wear. Flow rate index This reflects the correlation between pipeline wear rate and flow velocity. Its value is positively correlated with the solid content of the fluid and the particle size of the solid particles; the higher the solid content and the larger the particle size, the better. The higher the value, the more significantly the pipe wear rate is affected by the flow velocity; The formula for calculating the velocity index is: In the formula, For correction factor, The solid content influence coefficient is... This is the particle size influence coefficient; All the above coefficients were determined through on-site experimental calibration, and the solid content and particle size of the solid particles were kept consistent with the actual operating conditions during the calibration process.

[0012] As a further aspect of the present invention The calculation of the degree of damage differences in pipelines with different inner diameters, based on monitoring data of the solid content of the fluid inside the pipe and the size of solid particles, specifically includes: Establish a formula for calculating the degree of damage, and then calculate the ratio of the damage rate of the upstream small inner diameter pipe to the downstream large inner diameter pipe based on the flow velocity ratio and flow velocity index of the upstream small inner diameter pipe and the downstream large inner diameter pipe, so as to quantify the degree of damage difference of pipes with different inner diameters. The formula for calculating the damage rate ratio is: In the formula, This refers to the wear rate of the upstream small-diameter pipe. The wear rate of downstream large-diameter pipelines, The flow velocity in the upstream small-diameter pipe, This refers to the flow velocity in the downstream large-diameter pipe.

[0013] As a further aspect of the present invention The velocity ratio of the pipes with different inner diameters is determined by the ratio of their inner diameters. The velocity ratio of the upstream small inner diameter pipe to the downstream large inner diameter pipe is equal to the square of the ratio of their inner diameters, and the velocity ratio is a fixed value. The specific formula for calculating the velocity ratio is as follows: .

[0014] A dynamic intelligent monitoring system based on the aforementioned dynamic intelligent monitoring method for drainage pipelines, the system comprising: The pipeline support monitoring module is used to install a vertical elastic monitoring structure at the bottom of the drainage network pipeline to monitor the minute displacement of the pipe body and the attenuation status of the support structure in real time. The colony concentration monitoring module is used to install a volatile organic compound monitoring structure on the upper part of the bends from horizontal to vertical pipes in the drainage pipe network to monitor the concentration of volatile gases derived from colony pollution in the water accumulation area in real time. The pipeline buoyancy monitoring module is used to deploy buoyancy monitoring structures in a distributed manner along the flow path of drainage pipe networks to monitor the buoyancy data of the liquid in the pipeline in real time. The damage difference monitoring module is used to calculate the flow velocity of the liquid in the corresponding pipeline based on distributed buoyancy data, and to calculate the degree of damage difference of pipelines with different inner diameters by combining the monitoring data of the solid content of the fluid in the pipeline and the size of solid particles.

[0015] The present invention has the following beneficial effects: 1. This method can capture minute displacements of the pipe and attenuation signals of the support structure in real time by deploying a vertical elastic monitoring structure at the bottom of the pipeline, accurately identify the initial signs of support collapse, avoid the escalation of the fault, and solve the problem of lack of control over branch pipeline support collapse.

[0016] 2. This method uses a volatile organic compound monitoring structure installed on the upper part of the curved pipe to monitor volatile organic compounds by means of splashing droplets or volatiles generated by water collision, thereby reducing the damage of water to the sensor and enabling real-time monitoring and early warning of bacterial colony pollution-derived gases in waterlogged areas, filling the gap in bacterial colony pollution prevention and control.

[0017] 3. This method uses a distributed buoyancy monitoring structure along the pipeline flow path to acquire real-time buoyancy data of the liquid inside the pipe, providing an accurate data source for flow velocity calculation. At the same time, it can reflect pipe defects through abnormal fluctuations in buoyancy data, thereby improving monitoring stability and sensor lifespan.

[0018] 4. This method calculates flow velocity based on buoyancy data and combines it with monitoring data on solid content and solid particle size to accurately quantify the degree of damage differences in pipelines with different inner diameters. This provides reliable data support for targeted operation and maintenance of pipeline networks and solves the problem of insufficient analysis of pipe defects and quantification of damage levels. Attached Figure Description

[0019] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. The structures, proportions, sizes, etc., drawn in this specification are only used to complement the content disclosed in the specification, so that those skilled in the art can understand and read them. Any modifications to the structure, changes in the proportional relationships, or adjustments to the size, without affecting the effects and objectives that the present invention can produce, should still fall within the scope of the technical content disclosed in the present invention.

[0020] Figure 1 This is a schematic diagram of the overall process of the dynamic intelligent monitoring method for drainage pipelines provided in an embodiment of the present invention.

[0021] Figure 2 This is a schematic diagram illustrating the architecture principle of the dynamic intelligent monitoring system for drainage pipelines provided in an embodiment of the present invention.

[0022] Figure 3 This is a schematic diagram of the physical structure of an electronic device according to an embodiment of the present invention.

[0023] The attached diagram lists the components represented by each number as follows: Pipeline support monitoring module 10; Colony concentration monitoring module 20; Pipeline buoyancy monitoring module 30; Damage difference monitoring module 40; Electronic device 50: processor 501, memory 502, internal bus 503. Detailed Implementation

[0024] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, several other embodiments obtained by those skilled in the art without creative effort are all within the scope of protection of the present invention.

[0025] The terms "upper," "lower," "left," "right," and "middle" used in this specification are merely for clarity of description and are not intended to limit the scope of the invention. Any changes or adjustments to their relative relationships, without substantially altering the technical content, should also be considered within the scope of the invention.

[0026] like Figure 1 As shown, this invention provides a dynamic intelligent monitoring method for drainage pipelines, which is applicable to the intelligent operation and maintenance management of urban drainage pipe networks throughout their entire lifecycle. It effectively achieves comprehensive dynamic monitoring of the support status of branch pipes, bacterial contamination in waterlogged areas, pipe flow velocity and defects, and the differentiated lifespan of damaged pipes, thus improving its functionality and practicality. The specific steps include the following: S1: A vertical elastic monitoring structure is installed at the bottom of the drainage pipe network to monitor the minute displacement of the pipe body and the attenuation of the supporting structure in real time. The specific process is as follows: For several branch pipes of the urban drainage pipe network, a vertical elastic monitoring structure is installed at the bottom of the pipe. This structure is the core monitoring unit for the slight displacement of the pipe body and the attenuation of the support structure. It can accurately capture the early signs of attenuation of the support structure during the operation of the pipe network. In practical implementation, the elastic element is first selected as the core component for pressure transmission. The elastic element can be a component with stable elastic force, such as a spring. The elastic force direction of the elastic element is arranged vertically to ensure that the elastic force transmission direction of the elastic element is consistent with the displacement direction of the pipe body under the action of gravity. One end of the elastic element is supported at the bottom of the branch pipe so that the elastic element is in close contact with the bottom of the pipe body. The other end of the elastic element is supported at the pressure detection element. The pressure detection element is a pressure sensor. The pressure sensor is firmly connected to the end of the elastic element and can receive the pressure signal transmitted by the elastic element in real time. During normal operation of the pipeline network, the supporting structure of the branch pipeline is in a stable state, the pipe body has no slight displacement, the pressure on the elastic element remains constant, and the pressure signal monitored by the pressure sensor is a stable value. When the support structure of a branch pipeline weakens, or when the pipe body undergoes slight displacement due to factors such as foundation settlement or external loads, the pressure of the pipe body on the elastic element changes. The elastic element transmits the pressure change to the pressure sensor, which monitors the fluctuation of the pressure signal in real time and transmits the signal to the intelligent electronic control module. The intelligent electronic control module analyzes the trend of the pressure signal change to determine the amplitude of the slight displacement of the pipe body and the degree of weakening of the support structure, thereby completing the monitoring of slight displacement of the pipe body or weakening of the support structure and realizing the timely identification of the initial signs of support collapse. In particular, each branch pipeline is independently equipped with this vertical elastic monitoring structure, so that the support status of each small inner diameter branch pipeline can be monitored in real time, avoiding the impact on the operational safety of the entire pipeline network due to the failure to detect the support collapse of individual branch pipelines. Meanwhile, to ensure the stability of the elastic force transmission of the elastic component and extend its service life, a telescopic protective structure is installed on the outer side of the elastic component. The telescopic protective structure is made of telescopic tube or telescopic folding tube. The telescopic protective structure is sleeved on the outside of the elastic component to provide comprehensive protection for the elastic component. This prevents mud, sand, and other debris from the bottom of the tube from adhering to the surface of the elastic component, thus preventing contamination from affecting the elastic performance and pressure transmission effect of the elastic component. This ensures the long-term stable operation of the vertical elastic force monitoring structure. In addition, the telescopic protective structure has telescopic performance and can expand and contract synchronously with the compression and rebound of the elastic component without hindering the pressure transmission of the elastic component. S2: A volatile organic compound monitoring structure is installed on the upper part of the bend from the horizontal to the vertical pipe of the drainage pipe network to monitor the concentration of volatile gases derived from bacterial contamination in the water accumulation area in real time. The specific process is as follows: The bends where horizontal and vertical pipes connect in a drainage network are areas prone to water accumulation. These areas are susceptible to anaerobic environments, leading to excessive bacterial growth and the production of toxic and harmful volatile organic compounds (VOCs) such as hydrogen sulfide and foul-smelling gases. Therefore, VOC monitoring structures should be installed at these bends to enable real-time monitoring and early warning of gases derived from bacterial contamination. Specifically, these VOC monitoring structures should also be installed at bends connecting upstream small-diameter pipes to downstream large-diameter pipes, as well as at bends connecting upstream small-diameter pipes themselves, to achieve comprehensive monitoring of bacterial contamination in all waterlogged areas of the entire network. In practice, the volatile organic compound sensor is placed at the upper part of the bend where the horizontal pipeline reaches the vertical pipeline. This placement position can utilize the collision effect generated when the water flows at the bend to form splash droplets or volatile gases. The splash droplets and volatiles can naturally come into contact with the detection end of the volatile organic compound sensor, thereby achieving effective monitoring of pollutant concentration. This deployment method significantly reduces the direct flow of water through the sensor body, avoiding direct impact damage from high-speed water flow. It also prevents water from directly entering the sensor and causing water ingress malfunctions, effectively reducing water impact and damage to the sensor and extending the lifespan of the volatile organic compound (VOC) sensor. The VOC sensor transmits real-time monitored gas concentration data to the intelligent electronic control module. When the monitored data exceeds a preset warning threshold, the intelligent electronic control module immediately issues a pollution warning signal and promptly implements dredging and aeration control measures for the waterlogged area to inhibit excessive bacterial growth, prevent further infiltration and contamination of the soil and groundwater, and improve the control of bacterial contamination in the waterlogged area. S3: Distributed buoyancy monitoring structures are installed along the flow path of drainage pipe networks to monitor the buoyancy data of liquids in the pipes in real time; The specific process is as follows: For the overall pipeline flow route of the drainage network, a distributed deployment method is adopted to set up buoyancy monitoring structures. The buoyancy monitoring structures are the core data source for calculating the liquid flow velocity in the pipeline, and can also reflect the defect status of the pipe body through abnormal fluctuations in buoyancy data. In practice, the buoyancy meter is used as the core component for buoyancy monitoring. Several monitoring points are selected along the flow paths of the upstream small-diameter pipes and the downstream large-diameter pipes. At least one monitoring point is set up for each upstream small-diameter pipe, prioritizing stable sections of the pipe and avoiding locations with high local resistance such as bends and joints. At least two monitoring points are set up for the downstream large-diameter pipes, evenly distributed in the stable sections of the pipes to ensure the representativeness of the flow velocity data. A buoyancy meter is set up at each monitoring point. Several buoyancy gauges adopt a top-fixed installation method, which means that the top of the buoyancy gauge is fixed to the top of the inner wall of the pipe. The detection end of the buoyancy gauge extends downward to the liquid flow area inside the pipe, so that the detection end can fully contact the liquid inside the pipe and accurately collect buoyancy data. This top-mounted installation method can effectively reduce the risk of debris such as paper, plastic, and mud flowing inside the pipe sticking to the buoyancy gauge, avoid the debris from affecting the detection accuracy of the buoyancy gauge, and effectively improve the monitoring stability and service life of the buoyancy gauge. Several distributed buoyancy gauges are connected to the intelligent electronic control module, which can continuously transmit the buoyancy data of the liquid in the pipeline monitored in real time to the intelligent electronic control module, providing an accurate and continuous data source for subsequent flow velocity calculation. Moreover, the distributed deployment method can realize the synchronous monitoring of flow velocity data of pipelines with different inner diameters in the upstream and downstream, providing multi-dimensional data support for pipe defect location and damage degree calculation. S4: Based on distributed buoyancy data, calculate the flow velocity of the liquid in the corresponding pipeline. Combined with monitoring data on the solid content of the fluid in the pipeline and the size of solid particles, further calculate the degree of damage difference between several small-diameter pipelines upstream and the large-diameter pipeline downstream through the damage degree calculation formula. The specific process is as follows: S401: Calculate the real-time flow velocity of liquid in the pipeline based on buoyancy data; After receiving buoyancy data transmitted by the distributed buoyancy gauge, the intelligent electronic control module calculates the real-time flow velocity of the liquid in the corresponding pipeline based on a preset algorithm model. The specific calculation process is as follows: First, the buoyancy gauges at each monitoring point are calibrated. The corresponding pipeline valves are closed to bring the liquid in the pipeline to a static zero-flow state. At this time, the monitoring data of the buoyancy gauges are collected. This data is the static buoyancy data of the liquid in the pipeline under zero-flow state on the buoyancy gauges. This data is stored as a reference value in the intelligent electronic control module. When the pipeline is flowing normally and the liquid is in a flowing state, the intelligent electronic control module collects the monitoring data of the buoyancy meter in real time to obtain the real-time monitoring buoyancy data under the flowing state; among them, the buoyancy meters of each small inner diameter pipeline upstream and the buoyancy meters of the large inner diameter pipeline downstream are calibrated separately to ensure the accuracy of flow velocity calculation for different pipe diameters and different flow velocity ranges, and avoid calculation errors caused by uniform calibration. Since the flow of liquid generates dynamic lift on the buoyancy gauge, the real-time buoyancy data is the superposition of static buoyancy and dynamic lift. The dynamic lift data at the monitoring point is obtained by calculating the difference between the real-time buoyancy data and the static buoyancy data. Based on the physical relationship between the dynamic lift data and the flow velocity, a correlation formula is established between the two: in, This represents the real-time flow rate of the liquid within the pipeline. For instrument calibration coefficients, To monitor the difference between buoyancy data and static buoyancy data in real time; instrument calibration coefficient The actual flow velocity in the pipeline at a specific moment is determined through on-site calibration, i.e., by using professional flow velocity testing equipment. Simultaneously, dynamic lift data at that moment were collected. Substituting into the formula, we get: After calibration, This is a fixed value, which can be directly substituted into the formula to calculate the real-time flow rate. This method enables accurate calculation of liquid flow velocities at different monitoring points in upstream small-diameter pipes and downstream large-diameter pipes based on buoyancy data. The calculation process is simple, efficient, and provides real-time data. When several upstream small-diameter pipes have the same specifications, a single... Values ​​and specifications must be specified separately. value; S402: Deploy sensors for solid content and solid particle size to collect fluid characteristic data; Within the drainage pipe network, solid content sensors and solid particle size sensors are deployed at locations corresponding to the distributed monitoring points of the buoyancy gauges. Specifically, each buoyancy gauge monitoring point in the upstream small-diameter pipes and each buoyancy gauge monitoring point in the downstream large-diameter pipes is equipped with one solid content sensor and one solid particle size sensor. Both types of sensors are connected to the intelligent electronic control module to collect real-time solid content data of the fluid within the pipes. The data is in percentages and includes the average particle size of the solid particles. The unit is μm, and the data is continuously transmitted to the intelligent electronic control module; The solid content sensor is used to detect the proportion of solid impurities in the liquid inside the pipe, while the solid particle size sensor is used to detect the average particle size and particle size distribution of solid particles in the liquid inside the pipe. This can effectively reflect the erosion and wear characteristics of the fluid inside the pipe on the pipeline, thereby calculating the degree of damage to the pipeline and determining the flow velocity index. At the same time, the placement of the two sensors is consistent with that of the buoyancy gauge, which enables the synchronous acquisition of flow velocity, solid content, and solid particle size data at the same monitoring point, improving the correlation of data and the accuracy of calculation. S403: Establish a formula for calculating the degree of damage, and calculate the degree of damage differences for pipelines with different inner diameters; The urban drainage network adopts a layout where "several small-diameter pipes upstream converge into a large-diameter pipe downstream." The water flow direction within the network is that the water from the upstream small-diameter pipes flows into the downstream large-diameter pipe. Based on the continuity equation, under the premise of constant flow rate, the velocity ratio of pipes with different inner diameters is determined by the ratio of their inner diameters. The velocity ratio between the upstream small-diameter pipe and the downstream large-diameter pipe is equal to the square of the ratio of their inner diameters, and this velocity ratio is a fixed value. For example, if the inner diameter of the upstream small-diameter pipe... The inner diameter of the downstream large-diameter pipe is 50mm. If the flow rate is 100mm, then the velocity ratio is: That is, the flow velocity of the upstream small inner diameter pipe is 4 times the flow velocity of the downstream large inner diameter pipe, and this ratio remains constant; if there are several small inner diameter pipes of different specifications upstream, the flow velocity ratio between each small inner diameter pipe and the downstream large inner diameter pipe shall be calculated separately. The intelligent electronic control module calculates the flow velocity in each pipeline and combines it with solid content data collected by the solid content sensor. Particle size data collected by solid particle size sensor By using a theoretical model of erosion wear and combining it with field experimental calibration, the flow velocity index of pipeline erosion wear was determined. And establish calculation formulas related to the degree of damage, specifically including two core formulas: one is the flow velocity index calculation formula, and the other is the damage rate ratio calculation formula; Among them, the flow velocity index This reflects the correlation between pipeline wear rate and flow velocity. Its value is positively correlated with the solid content of the fluid and the particle size of the solid particles; the higher the solid content and the larger the particle size, the better. The higher the value, the more significantly the pipe wear rate is affected by the flow velocity; The formula for calculating the velocity index is: In the formula For correction factor, The solid content influence coefficient is... The three coefficients, representing the particle size influence coefficients, were determined through on-site experimental calibration. During calibration, the solid content and particle size were kept consistent with actual operating conditions to ensure the accuracy of the calculation formulas. For example, the values ​​under certain operating conditions were measured experimentally. , , When the solid content Average particle size of solid particles At that time, the flow velocity index ; The formula for calculating the damage rate ratio is: In the formula, This refers to the wear rate of the upstream small-diameter pipe. The wear rate of downstream large-diameter pipelines, The flow velocity in the upstream small-diameter pipe, The formula represents the flow velocity in the downstream large-diameter pipe and is based on the erosion wear law. The derivation shows that it is possible to accurately quantify the difference in damage between upstream small-diameter pipes and downstream large-diameter pipes; for example, given the flow velocity ratio. Flow rate index The ratio of damage rates This means that the wear rate of the upstream small-diameter pipe is about 10.5 times that of the downstream large-diameter pipe, indicating that the upstream small-diameter pipe is more severely damaged. The intelligent electrical control module, using the two sets of formulas mentioned above and combined with real-time monitoring data, can calculate the damage rate ratio between upstream small-diameter pipes and downstream large-diameter pipes in real time. This quantifies the degree of damage differences among pipes of different diameters, providing precise data support for targeted maintenance. When several upstream small-diameter pipes have the same specifications, the same damage rate calculation result can be used; when the specifications are different, separate calculations are required, making the maintenance strategy more targeted. Simultaneously, the flow velocity data calculated by the distributed buoyancy gauge is correlated with the pressure data within the pipe network. When defects such as localized pipe ruptures or interface leaks occur, the flow velocity and pressure at the defect location will exhibit significant abnormal fluctuations. By comparing and analyzing the flow velocity and pressure data from distributed monitoring points, the intelligent electrical control module can accurately identify the specific location and severity of pipe defects. This solves the problem in existing technologies where defects cannot be located by simply extrapolating from the main pipe pressure data. Furthermore, it can distinguish whether the defect originates in an upstream small-diameter pipe or a downstream large-diameter pipe, further improving maintenance efficiency.

[0027] This embodiment utilizes the coordinated deployment of vertical elasticity monitoring structures, volatile organic compound monitoring structures, and distributed buoyancy monitoring structures. Combined with multi-sensor data such as solid content and particle size, a damage calculation formula is established. This effectively achieves comprehensive real-time monitoring of the support status of drainage network branch pipes, bacterial contamination in waterlogged areas, pipe flow velocity and defects, and the difference in damage between upstream small-diameter and downstream large-diameter pipes. Simultaneously, a differentiated pressure and lifespan assessment system is established based on terrain differences, enabling refined operation and maintenance of the network. The deployment of each monitoring structure fully considers the actual operating conditions of the drainage network, where "several upstream small-diameter pipes converge into downstream large-diameter pipes," effectively improving sensor lifespan and monitoring stability. All monitoring data are transmitted to the intelligent electronic control module, enabling centralized data analysis, intelligent judgment, and automatic early warning, thus solving core technical problems in existing drainage network operation and maintenance management.

[0028] This method can be adapted to urban drainage pipe networks of different terrains and specifications that are characterized by "upstream small inner diameter confluence to downstream large inner diameter". The overall implementation steps are simple and efficient, and the installation of each monitoring structure and sensor is convenient. It does not require large-scale modification of the existing pipe network and has good engineering applicability and promotion value.

[0029] like Figure 2 As shown, this embodiment of the invention also provides a measurement system based on the above-described dynamic intelligent monitoring method for drainage pipelines, specifically including: The pipeline support monitoring module 10 is used to install a vertical elastic monitoring structure at the bottom of the drainage network pipeline to monitor the minute displacement of the pipe body and the attenuation state of the support structure in real time. The colony concentration monitoring module 20 is used to install a volatile organic compound monitoring structure on the upper part of the bend from the horizontal to the vertical pipe of the drainage pipe network to monitor the concentration of volatile gases derived from colony pollution in the water accumulation area in real time. The pipeline buoyancy monitoring module 30 is used to deploy buoyancy monitoring structures in a distributed manner along the flow path of the drainage pipe network to monitor the buoyancy data of the liquid in the pipeline in real time. The damage difference monitoring module 40 is used to calculate the flow velocity of the liquid in the corresponding pipeline based on distributed buoyancy data, and to calculate the degree of damage difference of pipelines with different inner diameters by combining the monitoring data of solid content and solid particle size of the fluid in the pipeline.

[0030] Figure 3 This is a schematic diagram of the physical structure of an electronic device according to an embodiment of the present invention, such as... Figure 3 As shown, the electronic device 50 includes: a processor 501, a memory 502, and an internal bus 503; wherein, the processor 501 and the memory 502 communicate with each other through the internal bus 503; The processor 501 is used to call program instructions in the memory 502 to execute the methods provided in the above-described method embodiments, such as: setting up a vertical elastic monitoring structure at the bottom of the drainage pipe network to monitor the minute displacement of the pipe body and the attenuation state of the support structure in real time; setting up a volatile organic compound monitoring structure at the upper part of the bend from the horizontal to the vertical pipe of the drainage pipe network to monitor the concentration of volatile gases derived from bacterial contamination in the water accumulation area in real time; setting up a distributed buoyancy monitoring structure along the flow path of the drainage pipe network to monitor the buoyancy data of the liquid in the pipe in real time; calculating the flow velocity of the liquid in the corresponding pipe based on the distributed buoyancy data, and calculating the degree of damage difference of pipes with different inner diameters by combining the monitoring data of the solid content of the fluid in the pipe and the size of solid particles.

[0031] This embodiment provides a non-transitory computer-readable storage medium that stores computer instructions. The computer instructions cause the computer to execute the methods provided in the above-described method embodiments, such as: installing a vertical elastic monitoring structure at the bottom of the drainage pipe network to monitor the minute displacement of the pipe body and the attenuation state of the support structure in real time; installing a volatile organic compound monitoring structure at the upper part of the bend from the horizontal to the vertical pipe of the drainage pipe network to monitor the concentration of volatile gases derived from bacterial contamination in the water accumulation area in real time; distributively installing buoyancy monitoring structures along the flow path of the drainage pipe network to monitor the buoyancy data of the liquid in the pipe in real time; calculating the flow velocity of the liquid in the corresponding pipe based on the distributed buoyancy data, and calculating the degree of damage difference of pipes with different inner diameters by combining the monitoring data of the solid content of the fluid in the pipe and the size of solid particles.

[0032] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various storage media capable of storing program code, such as ROM, RAM, magnetic disk, or optical disk.

[0033] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0034] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware intelligent electronic control modules, or of course, by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions to cause a computer device (which may be a server or network device, etc.) to execute the methods of each embodiment or some parts of the embodiments.

[0035] Although the present invention has been described in detail above with general descriptions and specific embodiments, modifications or improvements can be made to it, which will be obvious to those skilled in the art. Therefore, all such modifications or improvements made without departing from the spirit of the present invention fall within the scope of protection claimed by the present invention.

Claims

1. A method for dynamic intelligent monitoring of drainage pipelines, characterized in that, Includes the following steps: A vertical elastic monitoring structure is installed at the bottom of the drainage pipe network to monitor the minute displacements of the pipe body and the attenuation of the supporting structure in real time. A volatile organic compound (VOC) monitoring structure is installed on the upper part of the bends from horizontal to vertical pipes in the drainage network to monitor the concentration of volatile gases derived from bacterial contamination in the water accumulation area in real time. A distributed buoyancy monitoring structure is deployed along the flow path of the drainage pipe network to monitor the buoyancy data of the liquid in the pipe in real time. The flow velocity of the liquid in the corresponding pipeline is calculated based on distributed buoyancy data. Combined with monitoring data on the solid content of the fluid and the size of solid particles in the pipeline, the degree of damage difference of pipelines with different inner diameters is calculated.

2. The dynamic intelligent monitoring method for drainage pipelines according to claim 1, characterized in that, The aforementioned vertical elastic force monitoring structure installed at the bottom of the drainage pipe network specifically includes: Select an elastic element and arrange its elastic force direction vertically. Place one end of the elastic element against the bottom of the pipeline and the other end against the pressure detection element. By receiving pressure signals transmitted by the elastic element in real time through pressure detection elements and monitoring signal changes, the system can monitor minute displacements of the pipe or attenuation of the support structure.

3. The dynamic intelligent monitoring method for drainage pipelines according to claim 2, characterized in that, The aforementioned vertical elastic force monitoring structure installed at the bottom of the drainage pipe network specifically includes: A telescopic protective structure may be provided on the outer side of the elastic element; The telescopic protective structure includes a telescopic tube or a telescopic folding tube. The telescopic protective structure is sleeved on the outside of the elastic element to protect the elastic element and prevent dirt from adhering to the tube and affecting the elastic force transmission effect of the elastic element.

4. The dynamic intelligent monitoring method for drainage pipelines according to claim 3, characterized in that, The aforementioned volatile organic compound (VOC) monitoring structure, installed on the upper part of the bend between horizontal and vertical pipes in the drainage pipe network, specifically includes: The volatile organic compound sensor is placed at the upper part of the bend where the horizontal and vertical pipes connect. The sensor is activated by the splashing droplets or volatiles generated by the water flowing and colliding at the bend.

5. The dynamic intelligent monitoring method for drainage pipelines according to claim 4, characterized in that, The distributed buoyancy monitoring structure along the pipeline flow path of the drainage network specifically includes: The buoyancy gauges are distributed along the flow path of the drainage network. All buoyancy gauges are mounted on the top of the inner wall of the pipeline and extend downwards to the liquid flow area inside the pipeline. The top-mounted installation method can reduce the risk of debris inside the pipeline getting stuck on the buoyancy gauge. Buoyancy gauges are installed in the stable sections of the upstream small-diameter pipes and the downstream large-diameter pipes.

6. The method for dynamic intelligent monitoring of drainage pipelines according to claim 5, characterized in that, The calculation of the flow velocity of the liquid in the corresponding pipeline based on distributed buoyancy data specifically includes: For pipelines with different inner diameters upstream and downstream, static buoyancy data of the liquid in the pipeline under zero flow velocity is obtained, and then real-time buoyancy data of the buoyancy meter under flowing conditions is collected. The difference between the real-time buoyancy data and the static buoyancy data is calculated to obtain dynamic pressure lift data. Based on the correlation formula between dynamic pressure lift data and flow velocity, the real-time flow velocity of the liquid in the pipeline is calculated, and the flow velocity is positively correlated with the square root of the dynamic pressure lift data. Based on the physical relationship between dynamic lift data and flow velocity, a correlation formula is established between the two. The correlation formula is as follows: in, This represents the real-time flow rate of the liquid within the pipeline. For instrument calibration coefficients, To monitor the difference between buoyancy data and static buoyancy data in real time; Instrument calibration coefficient The actual flow velocity in the pipeline at a specific moment is determined through on-site calibration, i.e., by using flow velocity detection equipment. Simultaneously, dynamic lift data at that moment were collected. Substituting into the formula, we get: After calibration, This is a fixed value; it can be directly substituted into the formula to calculate the real-time flow rate. The buoyancy gauges of each small-diameter pipe upstream and the large-diameter pipe downstream are calibrated separately.

7. The dynamic intelligent monitoring method for drainage pipelines according to claim 6, characterized in that, The method combines monitoring data on the solid content of the fluid inside the pipe and the size of solid particles to calculate the degree of damage differences in pipes with different inner diameters, specifically including: Solid content sensors and solid particle size sensors are installed in the upstream small-diameter pipes and the downstream large-diameter confluence pipes of the drainage network to collect solid content data of the fluid in the pipes in real time. and average particle size data of solid particles And continuously transmit the data to the intelligent electronic control module; The flow direction within the drainage network was determined to be from the convergence of several small-diameter pipes upstream to a large-diameter pipe downstream. This was based on the calculated flow velocity of each pipe, combined with solid content data. Average particle size data of solid particles Determine the flow velocity index of pipeline erosion wear. Flow rate index This reflects the correlation between pipeline wear rate and flow velocity. Its value is positively correlated with the solid content of the fluid and the particle size of the solid particles; the higher the solid content and the larger the particle size, the better. The higher the value, the more significantly the pipe wear rate is affected by the flow velocity; The formula for calculating the velocity index is: In the formula, For correction factor, The solid content influence coefficient is... This is the particle size influence coefficient; All the above coefficients were determined through on-site experimental calibration, and the solid content and particle size of the solid particles were kept consistent with the actual operating conditions during the calibration process.

8. The method for dynamic intelligent monitoring of drainage pipelines according to claim 7, characterized in that, The calculation of the degree of damage differences in pipelines with different inner diameters, based on monitoring data of the solid content of the fluid inside the pipe and the size of solid particles, specifically includes: Establish a formula for calculating the degree of damage, and then calculate the ratio of the damage rate of the upstream small inner diameter pipe to the downstream large inner diameter pipe based on the flow velocity ratio and flow velocity index of the upstream small inner diameter pipe and the downstream large inner diameter pipe, so as to quantify the degree of damage difference of pipes with different inner diameters. The formula for calculating the damage rate ratio is: In the formula, This refers to the wear rate of the upstream small-diameter pipe. The wear rate of downstream large-diameter pipelines, The flow velocity in the upstream small-diameter pipe, This refers to the flow velocity in the downstream large-diameter pipe.

9. The method for dynamic intelligent monitoring of drainage pipelines according to claim 8, characterized in that, The velocity ratio of the pipes with different inner diameters is determined by the ratio of their inner diameters. The velocity ratio of the upstream small inner diameter pipe to the downstream large inner diameter pipe is equal to the square of the ratio of their inner diameters, and the velocity ratio is a fixed value. The specific formula for calculating the velocity ratio is as follows: 。 10. A dynamic intelligent monitoring system according to the dynamic intelligent monitoring method for drainage pipelines as described in any one of claims 1-9, characterized in that, The system includes: Pipeline support monitoring module (10) is used to install a vertical elastic monitoring structure at the bottom of the drainage network pipeline to monitor the minute displacement of the pipe body and the attenuation state of the support structure in real time. The colony concentration monitoring module (20) is used to install a volatile organic compound monitoring structure on the upper part of the bend from the horizontal pipe to the vertical pipe of the drainage pipe network, and to monitor the concentration of volatile gases derived from colony pollution in the water accumulation area in real time. The pipeline buoyancy monitoring module (30) is used to deploy buoyancy monitoring structures in a distributed manner along the flow path of the drainage network to monitor the buoyancy data of the liquid in the pipeline in real time. The damage difference monitoring module (40) is used to calculate the flow velocity of the liquid in the corresponding pipeline based on the distributed buoyancy data, and to calculate the degree of damage difference of pipelines with different inner diameters by combining the monitoring data of the solid content of the fluid in the pipeline and the size of solid particles.

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