CN-121682468-B - Intelligent underground drainage pipe network management method and system

CN121682468BCN 121682468 BCN121682468 BCN 121682468BCN-121682468-B

Abstract

The invention discloses an intelligent underground drainage pipe network management method and system, which relate to the field of drainage pipe network management and comprise the steps of acquiring real-time liquid level and real-time flow of an upstream monitoring point of a target pipe section, dividing monitoring data into water rising period data and water falling period data, carrying out bidirectional resistance characteristic analysis on a liquid level-flow model, identifying resistance release characteristics and resistance recovery characteristics, wherein the resistance release characteristics are abrupt changes that the flow is increased rapidly and the liquid level rises and stagnates or falls when the liquid level at a water rising and falling juncture reaches a first threshold value, the resistance recovery characteristics are abrupt changes that the liquid level is rebound when the flow at the water falling period falls to a second threshold value, and initially judging that soft intermittent blocking abnormality exists in the target pipe section when the two characteristics are detected simultaneously.

Inventors

WANG JIAWEI
FAN YANPENG
ZHAO WENTAO
FAN XIN
SUN WEIFAN
ZHAO XIYU

Assignees

河北通涛管业集团股份有限公司

Dates

Publication Date: 20260508
Application Date: 20260211

Claims (10)

1. An intelligent underground drainage pipe network management method is characterized by comprising the following steps: Based on the monitoring data, constructing a liquid level-flow mapping relation model of the target pipe section, and dividing the monitoring data into water rising period data and water falling period data; The two-way resistance characteristic analysis is carried out on the liquid level-flow mapping relation model, and the two-way resistance characteristic analysis comprises a resistance release characteristic and a resistance recovery characteristic, wherein the resistance release characteristic is characterized in that when the real-time liquid level reaches a first threshold value, the real-time flow is suddenly increased and the real-time liquid level is suddenly increased, stagnated or reduced, and the resistance recovery characteristic is characterized in that when the real-time flow is reduced to a second threshold value, the real-time liquid level is rebounded and returned in the water-withdrawal period; When the resistance release characteristic and the resistance recovery characteristic are detected at the same time, primarily judging that the target pipe section has soft intermittent blocking abnormality, wherein the soft intermittent blocking abnormality indicates that a flexible barrier repeatedly opened and closed along with the change of the impact force of water flow exists in the target pipe section; and executing a pipe network operation and maintenance management flow based on the soft intermittent blocking abnormal result, wherein the method comprises the steps of generating a flexible dredging management work order aiming at the target pipe section in an operation and maintenance work order management module, and updating an asset state mark in an operation and maintenance database of the pipe network.
2. The method according to claim 1, wherein: The judgment standard of the rapid increase of the real-time flow is that the first derivative of the real-time flow with respect to time is larger than a preset flow change rate threshold value and the duration time is not smaller than the preset threshold value; The judgment standard of the sudden change of the real-time liquid level, wherein the sudden change of the real-time liquid level, the falling or rising of the liquid level, is that the first derivative of the real-time liquid level with respect to time is changed from a positive value to a negative value and the duration is not less than a preset threshold value, or the absolute value of the first derivative of the real-time liquid level with respect to time is less than a preset stagnation critical value and the duration is not less than a preset threshold value; the judgment standard of the rebound rise of the real-time liquid level is that the first derivative of the real-time liquid level with respect to time is converted from a negative value to a positive value, and the duration is not smaller than a preset threshold value.
3. The method of claim 1, wherein the upstream monitoring point is disposed in an inspection well at an upstream end of the target pipe section, the real-time liquid level is obtained by an ultrasonic liquid level meter mounted at a top of the inspection well, and the real-time flow is obtained by multiplying a flow rate measured by a doppler flow rate meter mounted at a bottom of the inspection well by an over-flow cross-sectional area calculated based on the real-time liquid level.
4. The method of claim 1, wherein the first threshold corresponds to an open liquid level value of the flexible barrier, the second threshold corresponds to a closed flow value of the flexible barrier, and the first threshold is higher than a liquid level height corresponding to the second threshold, a closed region therebetween being defined as a hysteresis loop region; And the step of judging that the target pipe section has soft intermittent blocking abnormality further comprises the step of secondarily confirming, namely calculating the area of the hysteresis loop area, and secondarily confirming the abnormality when the area is larger than a preset hysteresis threshold value.
5. The intelligent underground drainage network management method of claim 1, further comprising intelligent screening based on machine learning: Constructing a characteristic sample library of the target pipe section by using the normal flow state data and the flexible barrier blocking data identified in the historical monitoring data; extracting geometric outline features of a liquid level and flow association curve in the feature sample library, and establishing a classification recognition model of soft intermittent occlusion abnormality by using a classification training algorithm; Inputting track features in the liquid level-flow mapping relation model constructed in real time into the classification recognition model; And when the identification result output by the classification identification model is matched with the soft intermittent blocking abnormality and the corresponding confidence score exceeds a preset confidence threshold, executing the step of generating a flexible dredging management work order.
6. The method of claim 1, further comprising the step of detecting chatter based on the pressure signal: acquiring pressure data acquired by a pressure sensor of an upstream monitoring point of the target pipe section; During the drag release feature and the drag recovery feature, analyzing a spectral feature of the pressure data; If an energy peak value in a preset frequency range is detected based on the frequency spectrum characteristics, judging that the flexible barrier is in an open and flutter state, and taking the open and flutter state as a secondary judgment basis of the soft intermittent occlusion abnormality.
7. The method of claim 1, further comprising the step of detecting chatter based on the audio signal: acquiring audio data acquired by an audio sensor of an upstream monitoring point of the target pipe section; During the drag release feature and the drag recovery feature, analyzing spectral features of the audio data; If an energy peak value in a preset frequency range is detected based on the frequency spectrum characteristics, judging that the flexible barrier is in an open and flutter state, and taking the open and flutter state as a secondary judgment basis of the soft intermittent occlusion abnormality.
8. The method according to claim 6 or 7, wherein the preset frequency range is 100Hz to 2000Hz.
9. The method of claim 1, wherein updating asset status markers in the pipe network operations and maintenance database comprises: marking the target pipe section as a pipeline with potential soft intermittent blocking abnormality, and establishing a resistance characteristic file of the target pipe section, wherein the record comprises historical change data of the first threshold value and the second threshold value; analyzing a hardening trend of the flexible barrier based on the historical variation data; When the first threshold is trending upward, it is determined that the flexible barrier is fibrillating or calcifiing and the treatment priority of the target tubular segment is raised.
10. An intelligent underground drainage network management system for implementing the method of claim 1, comprising: The monitoring data acquisition module is used for acquiring monitoring data of an upstream monitoring point of the target pipe section, wherein the monitoring data comprises real-time liquid level and real-time flow acquired according to a time sequence; The data processing and modeling module is used for constructing a liquid level-flow mapping relation model of the target pipe section based on the monitoring data and dividing the monitoring data into water rising period data and water falling period data; The resistance characteristic analysis module is used for carrying out bidirectional resistance characteristic analysis on the liquid level-flow mapping relation model and respectively identifying resistance release characteristics and resistance recovery characteristics; The resistance recovery characteristic is characterized in that in the water withdrawal period, when the real-time flow rate is reduced to a second threshold value, the real-time liquid level is rebound and risen; The abnormality judging module is used for preliminarily judging that the target pipe section has soft intermittent blocking abnormality when the resistance release characteristic and the resistance recovery characteristic are detected at the same time, wherein the soft intermittent blocking abnormality indicates that a flexible barrier repeatedly opened and closed along with the change of the impact force of water flow exists in the target pipe section; and the management maintenance module is used for generating a flexible dredging management work order aiming at the target pipe section according to the judging result of the soft intermittent blocking abnormality and updating an asset state mark in the pipe network operation and maintenance database.

Description

Intelligent underground drainage pipe network management method and system Technical Field The invention relates to the field of drainage pipe network management, in particular to an intelligent underground drainage pipe network management method and system. Background With the deep advancement of smart cities, the fine management of urban underground drainage pipe networks has become a key link for improving urban waterlogging resistance and guaranteeing water environment safety. Modern pipe network management systems generally rely on sensors of the internet of things deployed at key nodes to establish a digital monitoring platform by acquiring hydraulic parameters such as water level, flow and flow velocity in real time. The system aims to realize real-time sensing of the running state of the pipe network, automatic early warning of abnormal events and scientific scheduling of operation and maintenance resources through processing and analyzing the mass monitoring data. In the prior art, aiming at the evaluation and maintenance decision of the running state of a pipe network, hydraulic simulation or single-dimension monitoring data threshold analysis is mostly adopted. For example, chinese patent application CN120806906a (a method for guiding accurate maintenance of urban pipe network by using SWMM model) discloses a technology for constructing a maintenance plan by constructing SWMM hydraulic model to simulate the running state of pipe network, and comparing the simulation result with measured data to evaluate the degree of fouling. For another example, chinese patent application CN114611728a (sewage pipe network blockage monitoring method and system) proposes a method for identifying blockage based on the change trend of the liquid level and flow data of the monitoring node, and mainly focuses on identifying continuous abnormal rise of the water level or flow decay. However, the prior art has significant limitations in handling certain types of intermittent anomalies. In the actual operation of a pipe network, a soft gate type intermittent blocking exists, wherein the blocking material mainly comprises flexible substances such as wet tissues, fiber fabrics or plastic films and is often attached to a pipe joint or a tee joint. The material has typical nonlinear variable resistance characteristics that when the flow rate of incoming water is increased and the kinetic energy is increased, the flexible material is flushed away by water flow, the flow section of the pipeline is instantaneously restored, monitoring data shows the false appearance of water level suddenly drop and flow surge, and when the flow rate is reduced and the impact force is weakened, the flexible material is attached to the pipe wall again or stops the flow section under the influence of gravity or weak backflow, so that the local resistance is suddenly increased, and the water level is risen again. The dynamic evolution process of time and time can be misjudged as a sensor fault signal or instantaneous hydraulic fluctuation in the existing management logic, so that the platform frequently gives out misinformation or the platform is in missing report when operation and maintenance are most needed. Because the existing system lacks deep excavation of nonlinear hysteresis relation between flow and liquid level, physical characteristics such as soft matter flutter and the like cannot be captured, so that an operation and maintenance department cannot accurately identify the flexible blocking diseases with extremely strong concealment, and further, a targeted preventive dredging plan is difficult to formulate, and asset state evaluation accuracy and resource scheduling efficiency of pipe network management are seriously affected. Disclosure of Invention The invention aims to provide an intelligent underground drainage pipe network management method and system for solving the problems in the background technology. In order to achieve the above purpose, the invention adopts the following technical scheme: an intelligent underground drainage pipe network management method, comprising: Based on the monitoring data, constructing a liquid level-flow mapping relation model of the target pipe section, and dividing the monitoring data into water rising period data and water falling period data; The two-way resistance characteristic analysis is carried out on the liquid level-flow mapping relation model, and the two-way resistance characteristic analysis comprises a resistance release characteristic and a resistance recovery characteristic, wherein the resistance release characteristic is characterized in that when the real-time liquid level reaches a first threshold value, the real-time flow is suddenly increased and the real-time liquid level is suddenly increased, stagnated or reduced, and the resistance recovery characteristic is characterized in that when the real-time flow is reduced to a second threshold value, the real-time liquid level is