Intelligent inspection well monitoring and management system and method and electronic equipment

Abstract

The invention relates to the technical field of drainage pipe network intelligent monitoring, and discloses an intelligent monitoring and management inspection well system and method and electronic equipment, the system comprises a hydraulic monitoring module used for obtaining hydraulic monitoring data, the hydraulic monitoring data comprises flow information in a horizontal pipeline in the middle and downstream of an inspection well and full-scale water level information in the inspection well; the water quality sampling and detecting module is used for obtaining water quality indexes of the mixed water sample in the inspection well and obtaining comprehensive water quality data according to the water quality indexes; the garbage and sludge management module is used for acquiring the real-time acquired image of the garbage collection basket and the sludge deposition data in the inspection well, sending a garbage cleaning prompt according to the real-time acquired image, and sending a sludge cleaning instruction to the dredging device according to the sludge deposition data; and the safety early warning module is used for judging whether abnormal working conditions exist or not and performing early warning according to the types of the abnormal working conditions. According to the invention, high-precision cooperative monitoring, on-demand automatic cleaning and safe and efficient operation and maintenance of the inspection well are realized.

Description

Technical Field

[0001] This invention relates to the field of intelligent monitoring technology for drainage pipe networks, specifically to an intelligent monitoring and management system, method, and electronic equipment for manholes. Background Technology

[0002] Inspection wells are key structures in urban drainage networks used for connecting, inspecting, and cleaning pipes. Their operational status directly affects the overall network maintenance efficiency and the city's flood control and drainage capabilities. With the advancement of smart city construction and the increasing demand for refined management of drainage networks, intelligent monitoring systems for inspection wells are gradually becoming more widespread. By integrating multiple monitoring modules such as liquid level, flow rate, water quality, and gas, these systems achieve real-time collection and transmission of key network parameters, providing data support for network operation and maintenance decisions.

[0003] However, existing intelligent monitoring systems for inspection wells suffer from systemic technical pain points such as low integration, poor coordination, and insufficient adaptability, which severely restrict monitoring accuracy, equipment lifespan, and operation and maintenance efficiency. Specifically, each monitoring module is deployed independently, there is no unified standard for liquid level calibration, and the calibration accuracy is lower than the inherent accuracy of the module, affecting the system's monitoring accuracy; flow monitoring lacks a system-adaptive installation plan and there is no dynamic compensation mechanism for changes in the water flow cross-section caused by sludge and debris, resulting in poor monitoring accuracy; water quality monitoring is based on a fixed-point mode, resulting in insufficient data representativeness and no supporting self-cleaning protection strategy, leading to rapid accuracy decay and short equipment lifespan; multiple modules are installed separately, occupying working space inside the well, and there is a lack of an automated monitoring and cleaning coordination mechanism for debris and sludge, resulting in delayed operation and maintenance response and high costs.

[0004] In summary, there is an urgent need for a highly integrated intelligent monitoring and management system for manholes, which can achieve high-precision collaborative monitoring, on-demand automated cleaning, and safe and efficient operation and maintenance of manholes through optimized system architecture design. Summary of the Invention

[0005] This invention provides an intelligent monitoring and management system, method, and electronic device for manholes to solve the problems of low integration, poor coordination, and low operation and maintenance efficiency of existing manhole systems.

[0006] In a first aspect, the present invention provides an intelligent monitoring and management inspection well system, the system comprising: a hydraulic monitoring module, a water quality sampling and testing module, a garbage and silt management module, and a safety early warning module;

[0007] The hydraulic monitoring module is used to acquire hydraulic monitoring data, which includes flow information in the downstream horizontal pipe of the inspection well and full-range water level information in the inspection well. The water quality sampling and testing module is used to obtain water quality indicators of mixed water samples in the inspection well and to obtain comprehensive water quality data based on the water quality indicators. The mixed water sample is obtained by mixing multiple water quality samples collected at different depths in the inspection well. The sampling frequency and sampling depth are determined based on hydraulic monitoring data. The garbage and sludge management module is used to acquire real-time images of the garbage collection basket and sludge accumulation data in the inspection well, and send garbage cleaning prompts based on the real-time images and send sludge cleaning instructions to the sludge cleaning device based on the sludge accumulation data. The safety early warning module is used to determine whether there are abnormal operating conditions based on hydraulic monitoring data, comprehensive water quality data, garbage accumulation data, and silt accumulation data, and to issue early warnings according to the type of abnormal operating conditions.

[0008] The intelligent monitoring and management manhole system provided by this invention effectively solves the problems of low integration, insufficient data representativeness, delayed operation and maintenance response, and untimely identification of abnormal operating conditions in existing manhole monitoring systems through the coordinated operation and data linkage of hydraulic monitoring modules, water quality sampling and testing modules, garbage and sludge management modules, and safety early warning modules. Using hydraulic monitoring data as the core basis for control, it supports the dynamic adjustment of water quality sampling frequency and depth. The comprehensive water quality data obtained by mixing water samples from different depths is more representative than fixed-point monitoring, significantly improving the accuracy of water quality monitoring. Furthermore, it utilizes garbage collection basket images and sludge accumulation data to achieve on-demand management of garbage and sludge, replacing the traditional manual periodic inspection mode and improving management efficiency. Through cross-verification of multi-source monitoring data, it identifies abnormal operating conditions of manholes and can promptly output targeted early warning information, ensuring the safe operation of manholes and downstream drainage networks.

[0009] In one optional implementation, the hydraulic monitoring module includes a flow monitoring submodule and a water level monitoring submodule; The flow monitoring submodule is used to determine the average flow velocity in the inspection well based on the water depth and flow velocity in the inspection well, the corresponding flow velocity distribution coefficient, and the flow velocity in the inspection well, and to determine the flow rate information based on the average flow velocity. The water level monitoring submodule acquires the first water level data collected by the electronic water gauge when the water level in the inspection well is less than the standard depth value, and determines the full-range water level information based on the first water level data; when the water level in the inspection well is greater than or equal to the standard depth value, it acquires the second water level data collected by the radar level gauge, and determines the full-range water level information based on the sum of the first water level data and the second water level data.

[0010] The intelligent monitoring and management manhole system provided by this invention uses a flow monitoring submodule to determine the average flow velocity based on water depth, flow velocity, and flow velocity distribution coefficient to calculate instantaneous flow rate. This adapts to complex water flow conditions within manholes and improves the monitoring accuracy of flow information in mid-to-lower-stream horizontal pipelines. The water level monitoring submodule, based on the relationship between water level and standard depth, switches between electronic water gauges and radar level gauges to collect data and combines them to calculate full-range water level information. This ensures measurement accuracy in shallow water sections while also covering the monitoring needs of deep water sections, solving the problem that single level monitoring devices cannot cover the entire range and lack sufficient accuracy. This further enhances the operational stability and scientific nature of the entire system.

[0011] In one optional implementation, the water quality sampling and testing module includes a water quality sampling submodule and a water quality testing submodule; The water quality sampling submodule is used to move vertically inside the inspection well using a track trolley to obtain water quality samples at multiple measuring points at different depths, and to mix the water quality samples from different depths to obtain a mixed water quality sample. The measuring points include the bottom measuring point, the middle water level measuring point, and the high water level measuring point. The water quality testing submodule is used to test the mixed water sample after the water quality sampling submodule has completed a full sampling to obtain water quality indicators, and to obtain comprehensive water quality data based on the water quality indicators.

[0012] The intelligent monitoring and management inspection well system provided by this invention features a water quality sampling submodule that uses a tracked trolley to move vertically within the inspection well, sampling and mixing data from multiple measurement points. This solves the problem of incomplete data from fixed-point monitoring that fails to reflect the overall water quality status within the well. The water quality detection submodule performs testing after a complete sampling, avoiding the random errors of single-point testing and significantly improving the accuracy of comprehensive water quality data. This provides reliable data support for judging abnormal operating conditions of the system, further enhancing the scientific rigor and practicality of the entire water quality monitoring process.

[0013] In one optional implementation, the waste and sludge management module includes a waste cleaning submodule and a sludge cleaning submodule; The garbage cleaning submodule is used to identify the garbage coverage rate based on real-time images collected from the garbage collection basket. When the garbage coverage rate exceeds the garbage carrying capacity threshold, a garbage cleaning prompt is sent to remind staff to clean up the garbage. The sludge cleaning submodule is used to monitor sludge accumulation data in real time through a capacitive sludge level gauge. The sludge accumulation data includes bottom sludge thickness and thickness growth rate. When the bottom sludge thickness exceeds the preset thickness threshold and the thickness growth rate is positive, a sludge cleaning command is sent to the sludge cleaning device.

[0014] The intelligent monitoring and management inspection well system provided by this invention includes a garbage cleaning submodule that relies on real-time image recognition of the garbage collection basket to accurately determine the garbage load status. When the coverage exceeds a preset threshold, a cleaning prompt is triggered, avoiding the blindness and lag of traditional manual inspections, reducing unnecessary maintenance operations, and lowering maintenance costs. The sludge cleaning submodule uses a capacitive sludge level gauge to simultaneously monitor the bottom sludge thickness and thickness growth rate, accurately determining the sludge accumulation trend. When the bottom sludge thickness exceeds the limit and the growth rate is positive (i.e., sludge accumulation continues to increase), a cleaning command is issued, which can promptly curb the continuous sludge accumulation, prevent excessive sludge buildup from clogging the pipes, and effectively avoid the risk of reduced water delivery capacity of the pipeline network. Overall, the system significantly improves the accuracy and timeliness of garbage and sludge management, provides reliable support for the operation and maintenance coordination of the entire system, and ensures the smooth operation of the inspection well and downstream pipeline network.

[0015] In one optional implementation, the system further includes a gas detection module, a water depth and pressure detection module, and a cover plate detection module. The safety warning module further includes a gas warning submodule, an abnormal working condition warning submodule, and a cover plate abnormality warning submodule. The gas detection module is used to acquire gas concentration data inside the inspection well; The water depth and pressure detection module is used to acquire data on the water depth around the manhole cover and the pressure data of the manhole cover. The cover plate monitoring module is used to monitor the flipping angle and abnormal vibration of manhole covers and equipment compartment covers in real time; The gas early warning submodule is used to upload gas early warning information to the monitoring platform when the gas concentration data exceeds the preset safety threshold. The abnormal operating condition early warning submodule is used to determine different types of abnormal operating conditions based on water depth data, pressure data, hydraulic monitoring data, comprehensive water quality data, garbage accumulation data and silt accumulation data, and output corresponding alarm information. Abnormal operating conditions include downstream obstruction, rainwater and sewage mixing, and insufficient water conveyance capacity of rainwater pipe network. The cover plate abnormality early warning submodule is used to upload cover plate abnormality information to the monitoring platform when the cover plate monitoring module detects that the manhole cover has been opened without authorization or that abnormal vibration has occurred.

[0016] The intelligent monitoring and management manhole system provided by this invention features a gas detection module that captures real-time gas concentration data within the manhole. This, combined with a gas early warning submodule, provides timely alerts for excessive levels of toxic and harmful gases, effectively mitigating the risk of poisoning for maintenance personnel. A water depth and pressure detection module supplements the data on water accumulation and pressure around the manhole cover, providing more comprehensive environmental parameters for assessing abnormal conditions and helping to accurately distinguish between internal pipe network flooding and external water accumulation. A cover monitoring module captures real-time rotation angles and abnormal vibrations of the manhole cover and equipment compartment cover, and, combined with a cover anomaly early warning submodule, quickly identifies risks such as unauthorized opening and forced entry, preventing safety hazards such as lost manhole covers, stolen equipment, and personnel falls. Simultaneously, the safety early warning module is functionally divided into three submodules, enabling layered early warning and precise response for gas safety, abnormal operating conditions, and cover protection. This significantly improves the accuracy of identifying downstream obstructions and mixed rainwater and sewage connections, strengthening the entire system's safety control capabilities throughout the entire manhole operation process and better meeting the safety management needs of intelligent operation and maintenance of urban drainage networks.

[0017] In one optional implementation, the system further includes an auxiliary water level monitoring module; The auxiliary water level monitoring module is used to acquire water level images and identify the pixel positions of the water surface lines in the water level images through image processing algorithms. Based on the conversion matrix function between pixel positions and liquid levels, the actual water level height is calculated. The conversion matrix function is obtained by experimental calibration of the spatial mapping relationship between water level pixel positions and water level height.

[0018] This invention provides an intelligent monitoring and management inspection well system. The auxiliary water level monitoring module calculates the actual water level height by combining the collected water level images with the experimentally calibrated transformation matrix function. It can quickly capture the true state of the water surface line and can serve as a backup to the main water level monitoring method. When the main monitoring equipment malfunctions or the data is abnormal, it ensures the continuity and effectiveness of the water level data.

[0019] Secondly, this invention provides an intelligent monitoring and management method for inspection wells, the method comprising: The system acquires hydraulic monitoring data, including flow information in the downstream horizontal pipes of the inspection well and full-range water level information within the inspection well. It also acquires water quality indicators from a mixed water sample within the inspection well and derives comprehensive water quality data based on these indicators. The mixed water sample is obtained by combining multiple water quality samples taken at different depths within the inspection well; the sampling frequency and depth are determined based on the hydraulic monitoring data. Furthermore, it acquires real-time images of the garbage collection basket and silt accumulation data within the inspection well, sending garbage cleaning prompts based on the real-time images and issuing silt cleaning instructions to the sludge removal device based on the silt accumulation data. Finally, based on the hydraulic monitoring data, comprehensive water quality data, garbage accumulation data, and silt accumulation data, it determines whether any abnormal operating conditions exist and issues warnings based on the type of abnormal condition.

[0020] Thirdly, the present invention provides an electronic device comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the intelligent monitoring and management inspection well method of the second aspect described above.

[0021] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the intelligent monitoring and management inspection well method of the second aspect described above.

[0022] Fifthly, the present invention provides a computer program product, including computer instructions for causing a computer to execute the intelligent monitoring and management inspection well method described in the second aspect above. Attached Figure Description

[0023] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0024] Figure 1 This is an isometric view of a manhole in an intelligent monitoring and management manhole system according to an embodiment of the present invention. Figure 2 This is a schematic cross-sectional view of a manhole in an intelligent monitoring and management manhole system according to an embodiment of the present invention; Figure 3 This is an enlarged schematic diagram of the interior of a manhole cover and an intelligent monitoring and management manhole system according to an embodiment of the present invention; Figure 4 This is a structural block diagram of an intelligent monitoring and management inspection well system according to an embodiment of the present invention; Figure 5 This is a detailed structural block diagram of the intelligent monitoring and management inspection well system according to an embodiment of the present invention; Figure 6 This is a flowchart illustrating the intelligent monitoring and management method for inspection wells according to an embodiment of the present invention; Figure 7 This is a schematic diagram of the hardware structure of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] It is understood that before using the technical solutions disclosed in the various embodiments of the present invention, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in the present invention and their authorization should be obtained in accordance with relevant laws and regulations through appropriate means.

[0027] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0028] According to an embodiment of the present invention, the isometric view of the inspection well is as follows: Figure 1 A schematic diagram of the cross section of the inspection well is shown below. Figure 2 Specifically, it includes: 1. Manhole cover, 2. Vertical manhole shaft, 3. Upstream horizontal pipe, 4. Downstream horizontal pipe, 5. Circular equipment compartment, 6a. Sealed compartment, 6b. Equipment compartment cover, 7. Radar ultrasonic flow meter, 8. L-shaped bracket, 9. Radar level gauge, 10. Electronic water level gauge, 11. Manhole cover water level monitoring instrument, 14. Gas sensor, 15. Liftable garbage collection basket, 16. Lifting mechanism, 17. Silt monitoring and dredging device, 19. Smart electronic lock.

[0029] The interior of the manhole cover and an enlarged schematic diagram are shown below. Figure 3 It consists of a manhole cover 1, a pressure sensor 12, a camera 13 and a pose sensor 18.

[0030] The inspection well consists of a well cover 1, a vertical shaft 2, an upstream horizontal pipe 3, and a downstream horizontal pipe 4. The vertical shaft 2 is positioned between the upstream and downstream pipes and is preferably constructed of high-strength composite materials. The inner wall of the shaft is pre-installed with standardized mounting bases for sensors and track systems, including embedded bolts, guide rail fixing grooves, and cable tray supports, to ensure standardized installation and future replacement and upgrades of various equipment. A ladder is installed below the well cover 1, featuring a corrosion-resistant and anti-slip design to ensure safe access for maintenance personnel when necessary. An annular equipment compartment 5 is located on the circumferential inner wall of the vertical shaft 2 near the well cover 1. The annular equipment compartment 5 is preferably a prefabricated annular groove or annular box structure, circumferentially divided into multiple independent sealed compartments 6a, each with a corresponding independently openable equipment compartment cover 6b. The sealed compartments are functionally divided into: a hydraulic monitoring compartment, a water quality sampling compartment, a power supply and battery compartment, and a sensing and communication computing compartment. Each sealed compartment 6a is respectively equipped with a central control unit or RTU, a radar ultrasonic flow meter signal processing unit, a water quality monitoring and sampling device, a power supply and battery module, and a communication module (such as 4G / NB). The equipment includes IoT / LoRa, audible and visual alarms, and related actuator drive modules. The equipment compartment is made of corrosion-resistant, high-strength composite materials or stainless steel. A ring seal is installed between the cover and the body. Cable and pipe interfaces use quick-connect waterproof connectors to achieve a high level of waterproof, dustproof, and corrosion-resistant performance.

[0031] The system adopts a hybrid power supply mode of municipal power and built-in battery: when the mains power is normal, the power module supplies power to each electrical device and charges the battery; when an external power outage or power supply abnormality occurs, the system automatically switches to battery power supply, giving priority to key monitoring functions such as flow, water level, pressure, and gas, as well as necessary communication functions, to ensure that the system still has basic monitoring and alarm capabilities under extreme working conditions.

[0032] According to embodiments of the present invention, such as Figure 4 As shown, an intelligent monitoring and management system 0 for inspection wells is provided. This system can be used for the aforementioned inspection wells. The system includes: a hydraulic monitoring module 100, a water quality sampling and testing module 200, a waste and sludge management module 300, and a safety early warning module 400; The hydraulic monitoring module 100 is used to acquire hydraulic monitoring data, which includes flow information in the downstream horizontal pipe 4 of the inspection well and full-range water level information in the inspection well.

[0033] In an optional embodiment, the hydraulic monitoring module 100 collects the basic hydraulic parameters of the manhole operation, namely the flow information in the downstream horizontal pipe 4 of the manhole and the full-range water level information in the manhole, as the core control basis of the entire system.

[0034] The water quality sampling and testing module 200 is used to acquire water quality indicators of mixed water samples in the inspection well and obtain comprehensive water quality data based on the water quality indicators. The mixed water sample is obtained by mixing multiple water quality samples collected at different depths in the inspection well. The sampling frequency and sampling depth are determined based on hydraulic monitoring data.

[0035] In one optional embodiment, by receiving hydraulic monitoring data output by the hydraulic monitoring module 100, when the full-range water level information is high, the sampling depth coverage is expanded to ensure coverage of multiple vertical layers from the bottom of the well to near the water surface; when the water level is low, the sampling depth range is adjusted to avoid invalid sampling due to insufficient water level. The final multi-depth samples, after being mixed, can objectively reflect the overall water quality status of the water body in the well. When the flow rate of the downstream horizontal pipe 4 is in a stable range, it is determined that the water quality status of the water body in the well is relatively stable, and a lower sampling frequency can meet the monitoring requirements; when the flow rate changes abruptly, such as a sudden increase or decrease, it is determined that there may be changes in upstream water flow, rainwater and sewage mixing, etc., and the water quality status is likely to fluctuate accordingly, requiring an increase in the sampling frequency. By mixing the water quality samples collected from different depths of the inspection well, the one-sidedness of water quality data from a single depth is eliminated. By detecting the water quality indicators of the mixed water samples, comprehensive water quality data that can reflect the overall status of the water body in the well is obtained.

[0036] The garbage and sludge management module 300 is used to acquire real-time images of the garbage collection basket and sludge accumulation data in the inspection well, and send garbage cleaning prompts based on the real-time images and send sludge cleaning instructions to the sludge cleaning device based on the sludge accumulation data.

[0037] In one optional embodiment, the garbage and sludge management module 300 acquires real-time images of the garbage collection basket, determines the garbage accumulation status, and triggers a cleaning prompt based on the accumulation. By acquiring sludge accumulation data in the inspection well, it issues a cleaning command to the sludge removal device based on the sludge accumulation, thereby achieving precise and timely garbage and sludge management and avoiding the response delay problem caused by blind manual inspection.

[0038] The safety early warning module 400 is used to determine whether there are abnormal operating conditions based on hydraulic monitoring data, comprehensive water quality data, garbage accumulation data and silt accumulation data, and to issue early warnings according to the type of abnormal operating conditions.

[0039] In one optional embodiment, the safety early warning module 400 integrates hydraulic monitoring data, comprehensive water quality data, garbage accumulation data, and silt accumulation data. Through correlation analysis of different types of data, it judges the operating status of the inspection well, identifies abnormal operating conditions, and outputs targeted early warning information.

[0040] The intelligent monitoring and management manhole system provided in this embodiment effectively solves the problems of low integration, insufficient data representativeness, delayed operation and maintenance response, and untimely identification of abnormal operating conditions in existing manhole monitoring systems through the coordinated operation and data linkage of hydraulic monitoring modules, water quality sampling and testing modules, garbage and sludge management modules, and safety early warning modules. Using hydraulic monitoring data as the core basis for control, it supports the dynamic adjustment of water quality sampling frequency and depth. The comprehensive water quality data obtained by mixing water samples from different depths is more representative than fixed-point monitoring, significantly improving the accuracy of water quality monitoring. Furthermore, it utilizes garbage collection basket images and sludge accumulation data to achieve on-demand management of garbage and sludge, replacing the traditional manual periodic inspection mode and improving management efficiency. Through cross-verification of multi-source monitoring data, it identifies abnormal operating conditions of manholes and can promptly output targeted early warning information, ensuring the safe operation of manholes and downstream drainage networks.

[0041] In one alternative implementation, such as Figure 5 As shown, the hydraulic monitoring module 100 includes a flow monitoring submodule 101 and a water level monitoring submodule 102; The flow monitoring submodule 101 is used to determine the average flow velocity in the inspection well based on the water depth and flow velocity in the inspection well, the flow velocity distribution coefficient corresponding to the flow velocity, and the flow velocity in the inspection well, and to determine the flow information based on the average flow velocity.

[0042] In an optional embodiment, the flow monitoring submodule 101 uses a radar ultrasonic flow meter 7 to measure flow information. The radar ultrasonic flow meter 7 is installed in the downstream horizontal pipe 4 near the inspection well. The flow meter is fixed by an L-shaped bracket 8. During the prefabrication or modification stage, the installation elevation, installation angle, and distance from the bottom of the pipe of the L-shaped bracket are uniformly determined according to parameters such as pipe diameter, pipe material, and pipe slope. This ensures that the spatial position and incident angle of the probe are calibrated before leaving the factory, and on-site construction only requires reliably connecting the bracket to the reserved foundation.

[0043] Since the geometry and material parameters of the pipe section are precisely determined during the design and construction phases, the flow field of the measurement section is calibrated using laboratory tests or numerical simulations to obtain the correspondence between surface velocity and average velocity under different water depths and flow rates. During operation, radar / ultrasonic probes collect surface velocity and / or water depth information at a set frequency. The central control unit calculates the average velocity according to the pre-calibrated conversion relationship and uses the effective water depth and cross-sectional area function provided by the water level monitoring subsystem to invert the instantaneous flow rate Q(t) in real time, and uploads it to the upper-level monitoring platform.

[0044] The flow meter 7 is electrically connected to the RTU or central control unit in the annular equipment compartment 5 via a quick-connect waterproof connector, which facilitates quick wiring, maintenance and replacement on site. Since the flow meter is installed at the top of the pipeline, it is not affected by silt and garbage, so the frequency of maintenance is usually very low.

[0045] Specifically, during the operation phase, radar or ultrasonic probes emit electromagnetic waves or ultrasonic waves at a preset angle towards the water surface or a specific depth in the water body, and obtain the surface flow velocity v by measuring the Doppler frequency shift or propagation time difference. s Or a representative flow velocity within a certain depth range. Unlike traditional flow meters that pre-set a uniform flow field based on idealized or empirical velocity distribution assumptions, this method establishes a correspondence between "surface velocity - cross-sectional average velocity" or "representative velocity - cross-sectional average velocity". Combined with the instantaneous water depth h provided by the water level monitoring submodule 102, the current effective cross-sectional area A(h) and the corresponding water surface width b(h) can be calculated based on the pipeline geometry, thus achieving high-precision flow inversion under the premise of known real boundary conditions and velocity distribution.

[0046] Based on this, the present invention introduces a pre-calibrated relationship of "surface velocity - cross-sectional average velocity" or "representative velocity - cross-sectional average velocity": v avg =k v(h) ·v s Where, k v(h) The velocity distribution coefficient, which is related to water depth and flow regime, has been established in lookup table or function form during experimental or numerical simulation phases. Using this relationship, the measured velocity can be quickly converted into a value during actual operation. s Convert to cross-sectional average velocity v avg Thus, the instantaneous flow rate Q is obtained: Q=v avg ·A(h)=k v(h) ·v s ·A(h) By continuously sampling and storing the instantaneous flow rate Q(t), a complete flow process curve can be formed, which can be used to analyze the characteristics of pipeline water conveyance capacity, peak flow rate, base flow change, etc.

[0047] The water level monitoring submodule 102 acquires the first water level data collected by the electronic water gauge 10 when the water level in the inspection well is less than the standard depth value, and determines the full-range water level information based on the first water level data; when the water level in the inspection well is greater than or equal to the standard depth value, it acquires the second water level data collected by the radar level gauge 9, and determines the full-range water level information based on the sum of the first water level data and the second water level data.

[0048] In an optional embodiment, to achieve full-range monitoring of the water level in the well, a radar level gauge 9 and an electronic water level gauge 10 are arranged in the vertical wellbore 2, and a manhole cover ponding level monitor 11 is arranged in the manhole cover and the surrounding area: The radar level gauge 9 is installed on a preset bracket at the upper part of the wellbore. The installation angle of the bracket and the distance from the bottom of the well are uniformly designed and fixed according to the well depth and structural parameters in the factory stage. It can be used only by accessing the RTU through a quick-connect joint on site. The electronic water level gauge 10 is arranged along the inner wall of the wellbore within the close-range blind area of the radar level gauge 9, and adopts the form of combining photoelectric scale and mechanical positioning to accurately measure the height when the water level approaches the manhole cover. The manhole cover ponding level monitor 11 is arranged on the equipment cabin cover plate 6b to detect the ponding depth in the surrounding area of the wellhead, and together with the water level and pressure information in the well, it constitutes a comprehensive judgment basis for the relationship between the surface and the water level in the well.

[0049] The measurement results of the radar level gauge 9 and the electronic water level gauge 10 are fused to form a continuous water level function h(t) from the bottom of the well to the manhole cover; at the same time, the manhole cover ponding water level h surface(t) is linked with the water level and pressure data in the well to provide data support for subsequent identification of compression conditions and abnormal diagnosis in terms of the water level dimension.

[0050] Specifically, since the radar level gauge 9 is installed at the upper part of the wellbore and is responsible for water level measurement within most of the range, but there is a certain blind area at close range; the electronic water level gauge 10 is arranged along the wellbore wall, covering the low water level and the range near the bottom of the well within the radar blind area. A standard depth value h0 is preset in advance. When checking that the water level h in the well is less than h0, the electronic water level gauge 10 is used to collect the first water level data, and the full-range water level information is determined according to the first water level data; when checking that the water level h in the well is greater than or equal to h0, the second water level data of the radar level gauge 9 is used, and the full-range water level information is determined according to the sum of the first water level data and the second water level data, and the measured values of the two are smoothly transitioned through an interpolation or weighted fusion algorithm in the交接区域 (handover area), so as to construct a continuous and non-jumping water level function h(t) within the full range.

[0051] The intelligent monitoring and management inspection well system provided by this embodiment determines the average flow velocity through the flow monitoring sub-module in combination with the water depth, flow velocity and flow velocity distribution coefficient to calculate the instantaneous flow rate, adapts to the complex water flow state in the inspection well, and improves the monitoring accuracy of the flow information of the middle and lower reaches of the horizontal pipeline. The water level monitoring sub-module switches between the electronic water level gauge and the radar level gauge to collect data and combines them to calculate the full-range water level information according to the relationship between the water level and the standard depth value, which not only ensures the measurement accuracy of the shallow water level section but also covers the monitoring requirements of the deep water level section, solves the problem that a single liquid level monitoring device is difficult to cover the full range and has insufficient accuracy, and further strengthens the operation stability and monitoring scientificity of the entire system.

[0052] In an optional implementation manner, such as Figure 5As shown, the water quality sampling and testing module 200 includes a water quality sampling submodule 201 and a water quality testing submodule 202; The water quality sampling submodule 201 is used to move vertically inside the inspection well using a track trolley to obtain water quality samples at multiple measuring points at different depths, and to mix the water quality samples at different depths to obtain a mixed water quality sample. The measuring points include measuring points at the bottom of the well, measuring points at the middle water level, and measuring points at the high water level.

[0053] In one optional embodiment, a sample collection head is mounted on a track trolley and moves along a vertical track of the vertical well shaft 2 to collect water samples at multiple measuring points, including bottom, middle, and high water levels, at a sampling cycle of approximately 2 hours. The track also has an extension range equal to the pipe diameter, allowing the track trolley to collect water samples at any depth within the inspection well. The samples are then transported through sampling pipes to a water sample mixing container within the annular equipment chamber 5, where a statistically representative composite water sample is formed.

[0054] The water quality testing submodule 202 is used to test the mixed water sample after the water quality sampling submodule 201 has completed a complete sampling to obtain water quality indicators, and to obtain comprehensive water quality data based on the water quality indicators.

[0055] In one optional embodiment, a multi-parameter water quality sensor (such as pH, conductivity, dissolved oxygen, turbidity, ammonia nitrogen, COD, etc.) is installed in a water sample mixing container. It is activated only briefly after completing one sampling-mixing process to perform detection, remaining in a humidified dormant state for the rest of the time. A self-cleaning assembly periodically cleans the sensor probe surface using an electric brush or air-liquid backwashing method, reducing dirt deposition and membrane fouling accumulation, effectively extending the sensor's stable operating cycle.

[0056] During the sampling process, the tracked trolley can extract water samples at multiple measuring points at different depths within the wellbore according to a predetermined procedure, moving along a vertical track. Assume that samples are taken at n spatiotemporal points within a monitoring cycle, with a single sampling volume of V. i The corresponding water quality indicators (such as COD, ammonia nitrogen, etc.) are C. i If all water samples are thoroughly mixed in the water sample mixing container, an approximate equivalent average water quality index C can be obtained. eq :

[0057] This equivalent average water quality index is equivalent to a weighted average of water quality over a certain time and space range. Compared with online measurements at a single point or time, it better reflects the overall water quality status and trend of the pipeline section. By adjusting the sampling time interval of the track trolley and the pumping volume at a single point, specific sampling strategies can be designed for specific operating conditions, thereby obtaining water quality data with greater diagnostic value.

[0058] The intelligent monitoring and management inspection well system provided in this embodiment uses a water quality sampling submodule that moves vertically within the inspection well via a tracked trolley. This allows for sampling and mixing at multiple measurement points within the well, solving the problem of incomplete data from fixed-point monitoring that fails to reflect the overall water quality status within the well. The water quality testing submodule performs testing after a complete sampling, avoiding the random errors of single-point testing and significantly improving the accuracy of comprehensive water quality data. This provides reliable data support for judging abnormal operating conditions of the system, further enhancing the scientific rigor and practicality of the entire water quality monitoring process.

[0059] In one alternative implementation, such as Figure 5 As shown, the waste and sludge management module 300 includes a waste cleaning submodule 301 and a sludge cleaning submodule 302; The garbage cleaning submodule 301 is used to identify the garbage coverage rate based on the real-time images collected from the garbage collection basket. When the garbage coverage rate exceeds the garbage carrying capacity threshold, a garbage cleaning prompt is sent to remind staff to clean up the garbage.

[0060] In an optional embodiment, the garbage collection submodule 301 is used to install a liftable garbage collection basket 15 inside the vertical shaft 2 near the junction of the upstream horizontal pipe 3 and the shaft. The garbage collection basket 15 preferably adopts a corrosion-resistant metal mesh structure, and its bottom and side walls are provided with seepage holes. The hole diameter is optimized according to the target interception particle size, so that water can pass through smoothly while large floating objects, plastic bags, leaves, etc. are trapped inside the basket.

[0061] The garbage collection basket 15 is connected to the manhole cover 1 or the inner wall of the vertical manhole 2 via a lifting mechanism 16, which is an electric lifting unit. When the system determines that the garbage accumulation is close to or exceeds the threshold through image recognition and water level changes, it issues a "to be cleaned" or "urgent cleaning required" prompt to the maintenance personnel. The maintenance personnel can then go to the manhole opening and operate the lifting mechanism to lift the garbage basket to the manhole opening for cleaning.

[0062] Specifically, for waste identification, camera 13 is installed directly below manhole cover 1 or on the upper inner wall of the manhole shaft, and its field of view simultaneously covers the waste collection basket 15, the water surface of the manhole shaft, and part of the equipment compartment cover 6b. The system preprocesses the acquired images, such as denoising, grayscale conversion, and contrast enhancement, and then uses edge detection and region segmentation algorithms to extract candidate waste regions Ω. i In the known projection area Ω of the garbage collection basket. basket Under the premise that the total area S of the current garbage area can be calculated. garbage =∑S(Ω i ), and the projected area S of the garbage collection basket basket Thus, the garbage coverage rate is obtained: η=S garbage / S basket When η exceeds the preset thickness threshold, or when the thickness growth rate is positive, combined with flow rate, water level and rainfall information, when the garbage coverage exceeds the garbage carrying capacity threshold, a garbage cleaning prompt can be sent to comprehensively determine whether the garbage collection basket has entered the "pending cleaning" or "urgent cleaning required" state. Then, the platform can send a garbage cleaning prompt to the operation and maintenance personnel, replacing the traditional extensive mode of regular inspection based on experience.

[0063] The sludge cleaning submodule 302 is used to monitor sludge accumulation data in real time through a capacitive sludge level gauge. The sludge accumulation data includes bottom sludge thickness and thickness growth rate. When the bottom sludge thickness exceeds the preset thickness threshold and the thickness growth rate is positive, a sludge cleaning command is sent to the sludge cleaning device.

[0064] In an optional embodiment, the sludge cleaning submodule 302 is used to install a sludge monitoring and sludge removal device 17 at the bottom of the downstream horizontal pipeline 4. It mainly consists of a thickened arc support, a multi-nozzle linear injection unit, a built-in pressurization module, and a capacitive sludge level gauge.

[0065] A thickened section or inner lining groove is reserved at the bottom of the pipe, with a removable arc-shaped support embedded inside. The support's shape conforms to the arc length of the pipe bottom at approximately 60-90°, and both ends are reliably fixed with wedges and quick-release bolts. Multiple nozzles are arranged in a linear array along the arc of the pipe inside the support. The nozzles' water outlet direction is slightly off-center downstream, forming an angle of 15° to 25° with the pipe bottom, creating a high-velocity jet that "fits" the pipe bottom during operation. Figure 2 The nozzle direction shown is perpendicular to the bottom of the pipe and is for illustrative purposes only. A small plunger pump is integrated within the hollow cavity of the support as a pressurization module. Water is drawn from the upstream side via a bypass pipe, pressurized by the pump, and then delivered to the nozzle array. A corrosion-resistant cable tray is arranged along the bottom of the support to accommodate power and signal cables, with the ends connected to the RTU inside the annular equipment compartment 5 of the inspection well. This enables functions such as pump start / stop, jet mode switching, pressure regulation, and data acquisition from the sediment sensor. A capacitive sediment level gauge is installed in the downstream pipeline of the arc-shaped support to sense the sediment thickness. When the sediment thickness exceeds a set threshold, the control box activates the pressurization pump to perform a bottom flushing operation at appropriate intervals, lifting the sediment and carrying it away with the mains flow. By performing this operation periodically or as needed, the hydraulic conditions at the measurement section can be maintained stably over a long period.

[0066] Specifically, the capacitive mud level gauge monitors the bottom mud thickness H in real time. m(t) When H is detected m(t) When the set threshold is exceeded and the thickness growth rate is positive, the system automatically schedules the dredging device 17 to enter working mode during nighttime or low-flow periods: It starts the built-in pressurization pump to draw clean water from the upstream side and pressurize it to the set pressure p. jetAt pressures of 0.5-1.0 MPa, a high-shear jet is formed by a nozzle array spraying water downstream along the bottom of the pipe. This jet disturbs, suspends, and entrains silt particles into the main flow, carrying them away with the current. The dredging process lasts approximately 10-15 minutes. After dredging, the system performs a short backwash (approximately 1-2 minutes) to remove residual particles from the nozzles and prevent clogging. Through this on-demand automatic dredging mechanism, the system maintains stable hydraulic conditions near the flowmeter measurement section over a long period, reducing the encroachment of bottom sediment accumulation on the effective flow cross-section.

[0067] The intelligent monitoring and management manhole system provided in this embodiment features a garbage cleaning submodule that uses real-time image recognition of the garbage collection basket to accurately determine the garbage load status. When the coverage exceeds a preset threshold, a cleaning prompt is triggered, avoiding the blindness and lag of traditional manual inspections, reducing unnecessary maintenance operations, and lowering maintenance costs. The sludge cleaning submodule uses a capacitive sludge level gauge to simultaneously monitor the bottom sludge thickness and its growth rate, accurately determining the sludge accumulation trend. When the bottom sludge thickness exceeds the limit and the growth rate is positive (i.e., sludge accumulation continues to increase), a cleaning command is issued, which can promptly curb the continuous sludge accumulation, prevent excessive sludge buildup from clogging the pipes, and effectively avoid the risk of reduced water delivery capacity of the pipeline network. Overall, the system significantly improves the accuracy and timeliness of garbage and sludge management, providing reliable support for the operation and maintenance coordination of the entire system and ensuring the smooth operation of the manhole and downstream pipeline network.

[0068] In one alternative implementation, such as Figure 5 As shown, the system also includes a gas detection module 500, a water depth and pressure detection module 600, a cover plate monitoring module 700, and a safety early warning module 400, which also includes a gas early warning submodule 401, an abnormal working condition early warning submodule 402, and a cover plate abnormality early warning submodule 403. The gas detection module 500 is used to acquire gas concentration data inside the inspection well.

[0069] In an optional embodiment, a gas sensor 14 is arranged at a suitable height on the inner wall of the vertical shaft 2 to monitor the concentration of gases such as H2, S, and NH3.

[0070] The water depth and pressure detection module 600 is used to acquire data on the water depth around the manhole cover and the pressure data of the manhole cover.

[0071] In an optional embodiment, a pressure sensor 12 is installed below the manhole cover 1 to obtain data on the depth of water accumulation around the manhole cover and the pressure data of the manhole cover. When rainfall, heavy rain, or downstream obstruction causes "water blockage", the static water pressure on the lower surface of the manhole cover is measured to identify whether the pipe section is in a high-pressure restricted state.

[0072] The cover plate monitoring module 700 is used to monitor the flip angle and abnormal vibration of manhole covers and equipment compartment covers in real time.

[0073] In an optional embodiment, the opening and closing status, flipping angle and abnormal vibration of the manhole cover and equipment compartment cover are monitored by the pose sensor 18.

[0074] The gas early warning submodule 401 is used to upload gas early warning information to the monitoring platform when the gas concentration data exceeds the preset safety threshold.

[0075] In an optional embodiment, the gas sensor 14 is connected to the central control unit via a cable. When the detection value of the gas detection module 500 exceeds the preset safety threshold, the system immediately triggers a local audible and visual alarm and uploads the alarm information to the monitoring platform. At the same time, it can link the smart electronic lock 19 to prevent the manhole cover from being opened, prompt the site to suspend the work of going down into the well, and start or schedule the ventilation facilities as needed.

[0076] The abnormal operating condition early warning submodule 402 is used to determine different types of abnormal operating conditions based on water depth data, pressure data, hydraulic monitoring data, comprehensive water quality data, garbage accumulation data and silt accumulation data, and output corresponding alarm information. Abnormal operating conditions include downstream obstruction, mixed connection of rainwater and sewage, and insufficient water conveyance capacity of rainwater pipe network.

[0077] In one optional embodiment, when the water depth and pressure data exceed the safety threshold, the system can push early warning information to the upper-level monitoring platform to indicate the risk of traffic on the road ahead, assisting in urban flood forecasting and early warning. The monitoring of water level and pressure in the well can reflect the real-time operating status of the pipeline section. When a sustained high water level is detected, such as h(t) > 0.8H for one consecutive hour (where H is the well depth), or when the pressure increases significantly, such as P(t) > 10 kPa, the system automatically identifies that the pipeline section is in a water-suppressed operating state and pushes an emergency response instruction to the maintenance personnel, indicating the need for immediate on-site investigation and dredging.

[0078] In an optional embodiment, when rainfall or downstream obstruction causes a significant rise in water level, the upper space of the well gradually changes from a gas phase to a water-filled state. At this time, the hydrostatic pressure P measured by the pressure sensor below the well cover can be approximately expressed as: P=ρ·g·h p Where ρ is the density of water, g is the acceleration due to gravity, and h is the acceleration due to gravity. p This represents the equivalent height of the pressurized water column beneath the lower surface of the manhole cover. (Based on a comprehensive analysis of h...) p The water level measured by the radar level gauge 9 or the electronic water gauge 10 can be cross-checked, and the specific water-blocking and pressure-bearing state of the wellbore and adjacent pipe sections can be identified when the combination of high water level and high pressure occurs.

[0079] Specifically, when the system only detects a persistently high water level in the well and a reading on the pressure sensor, it can be inferred that the downstream water conveyance capacity is limited or that the pipeline is experiencing high-risk conditions such as local compression or blockage. When the system simultaneously detects a persistently high water level in the well, a reading on the pressure sensor, and significant water accumulation around the manhole cover, it can be inferred that there is upstream rainwater and sewage mixing, misconnection, or external surface water converging into a localized area. If there is significant water accumulation on the road but the water level in the well does not rise significantly, it indicates that the current plot has achieved rainwater and sewage separation, but the rainwater pipe network system has insufficient water conveyance capacity or that the pipeline is experiencing high-risk conditions such as local compression or blockage.

[0080] The cover plate abnormality early warning submodule 403 is used to upload cover plate abnormality information to the monitoring platform when the cover plate monitoring module 700 detects that the manhole cover has been opened without authorization or that abnormal vibration has occurred.

[0081] In an optional embodiment, a pose sensor 18 is installed on each equipment compartment cover 6b and manhole cover 1. This sensor can be an accelerometer, gyroscope, or tilt sensor. In this invention, a gyroscope is used to monitor the opening and closing status, flip angle, and abnormal vibration of the cover in real time. When unauthorized opening or severe impact is detected, the system automatically reports the abnormal event.

[0082] Both the equipment compartment cover 6b and the manhole cover 1 are equipped with smart electronic locks 19, supporting multiple legal unlocking methods such as Bluetooth / NFC or remote commands, while retaining a mechanical lock as redundancy. The manhole cover can be opened as long as either lock is unlocked, improving reliability and accessibility in emergencies. A GPS locator is embedded in the manhole cover 1. When the manhole cover deviates from the preset installation point or loses connection with the system for an extended period, the system automatically reports the real-time location and movement trajectory of the manhole cover, achieving anti-theft and tracking management.

[0083] The intelligent monitoring and management manhole system provided in this embodiment features a gas detection module that captures real-time gas concentration data within the manhole. This, combined with a gas early warning submodule, provides timely alerts for excessive levels of toxic and harmful gases, effectively mitigating the risk of poisoning for maintenance personnel. A water depth and pressure detection module supplements the data on water accumulation and pressure around the manhole cover, providing more comprehensive environmental parameters for assessing abnormal conditions and helping to accurately distinguish between internal pipe network flooding and external water accumulation. A cover monitoring module captures real-time rotation angles and abnormal vibrations of the manhole cover and equipment compartment cover. Combined with a cover anomaly early warning submodule, this quickly identifies risks such as unauthorized opening and forced entry, preventing safety hazards such as lost manhole covers, stolen equipment, and personnel falls. Simultaneously, the safety early warning module is functionally divided into three submodules, enabling layered early warning and precise response for gas safety, abnormal operating conditions, and cover protection. This significantly improves the accuracy of identifying downstream obstructions and mixed storm and sewage connections, strengthening the entire system's safety control capabilities throughout the manhole operation process and better meeting the safety management needs of intelligent operation and maintenance of urban drainage networks.

[0084] In one alternative implementation, such as Figure 5 As shown, the system also includes an auxiliary water level monitoring module 800; The auxiliary water level monitoring module 800 is used to acquire water level images and identify the pixel positions of the water surface lines in the water level images through image processing algorithms. Based on the conversion matrix function between pixel positions and liquid levels, the actual water level height is calculated. The conversion matrix function is obtained by experimental calibration of the spatial mapping relationship between water level pixel positions and water level height.

[0085] In one optional embodiment, a water level image is acquired, and the pixel position of the water surface line in the image is identified using an image processing algorithm. A pre-calibrated pixel-to-water-level conversion matrix function is then used to directly convert the pixel coordinates into the actual water level height in the manhole coordinate system, without relying on visible scales or feature points on the manhole wall. The conversion matrix function establishes a mapping relationship between pixel space and physical space through a one-time camera calibration. Regardless of the water surface line's position within the camera's field of view, the corresponding water level value can be obtained through this conversion function, achieving low-cost water level estimation.

[0086] The intelligent monitoring and management inspection well system provided in this embodiment uses an auxiliary water level monitoring module to calculate the actual water level height by combining the collected water level images with the experimentally calibrated transformation matrix function. This allows for the rapid capture of the true state of the water surface line and can serve as a backup to the main water level monitoring method. When the main monitoring equipment malfunctions or data is abnormal, it ensures the continuity and effectiveness of the water level data.

[0087] As one or more specific application embodiments of the present invention, the operating status of the intelligent monitoring and management inspection well system of the present invention under rainfall and rainstorm conditions is as follows: When rainfall occurs, especially heavy rainfall, short-duration storms, or when there is combined sewer overflow upstream, the fluctuations in upstream water volume and flow rate increase significantly, the water level in the pipeline rises more rapidly, and the sand content and solid impurity content increase. The intelligent monitoring and management manhole system of this invention automatically switches to a rainfall-focused monitoring mode when it detects rainfall information, which can be provided by external rain gauges or platform scheduling information, or when the flow rate or water level change rate reaches a preset threshold.

[0088] After the system switches to the rainfall-focused monitoring mode, the central control unit immediately performs the following adjustments: increasing the sampling frequency of key parameters such as water level and flow rate from once every 5 minutes in the normal mode to once every 1 minute; increasing the image acquisition frequency of camera 13 from once every 30 minutes to once every 5 minutes; increasing the sampling frequency of gas sensor 14 from once every 10 minutes to once every 2 minutes; and activating the continuous monitoring mode of pressure sensor 12. The system focuses on the changing trends of the following characteristic parameters: the rate of water level rise and whether it approaches the manhole cover elevation; the sudden increase in flow rate and its duration; the rapid changing trend of garbage coverage; and the matching relationship between the depth of water accumulation in the manhole cover and the water level and pressure inside the manhole.

[0089] Due to rainfall or combined sewer overflows, the upstream water flow increases dramatically, carrying significantly more floating debris and solid impurities, causing the garbage collection basket 15 to accumulate at a significantly faster rate. To prevent abnormal local water level rises caused by garbage blockage in a short period, the system automatically increases the image acquisition frequency of camera 13 to once every 5 minutes during rainfall and runs an image recognition algorithm in real time to dynamically assess the garbage coverage rate η. When η rapidly rises from its initial value to more than 0.7 within a short period, such as within 30 minutes, or when η exceeds 0.8 in two consecutive tests, the system will issue a higher-priority emergency cleaning order to the maintenance personnel. If necessary, the well can be included in the emergency rescue inspection list based on flow and water level changes, requiring maintenance personnel to arrive on-site for cleaning within 2 hours. If the system detects that the garbage coverage rate continues to rise and exceeds 0.9, accompanied by a rapid rise in water level, the system will issue the highest-level emergency alarm, indicating a risk of pipe overflow due to garbage blockage.

[0090] As the water level in the well continues to rise and approaches the position of the well cover 1, the upper space of the well gradually transitions from a gas phase to a water-filled state. The radar level gauge 9 gradually approaches its upper limit, such as h(t) > 0.95H. At this time, the electronic water gauge 10 can still continue to reflect the changes in water level from near the bottom of the well to the middle and high water levels. The system ensures the continuity of water level measurement through a fusion algorithm. At the same time, the pressure sensor 12 below the well cover begins to detect a significant hydrostatic pressure P(t). The system calculates the pressure based on P=ρgh. p The relationship between pressure and water level is cross-checked to verify the consistency of the measurement data.

[0091] The system identifies different types of abnormal operating conditions based on a joint judgment of multiple physical quantities: If the manhole cover water level monitor 11 detects that the road surface water is deep, such as h surface(t)If the water level in the well is greater than 150mm and the water level h(t) is high (e.g., h(t) > 0.9H) and the pressure P(t) is high (e.g., P(t) > 15kPa), it indicates that there is a high water column both above and below the well cover. This usually corresponds to a high-risk condition where downstream water conveyance capacity is limited or the pipeline is under severe local pressure. The system immediately issues a "downstream obstruction / pipeline section pressure risk" warning to the upstream dispatch center, indicating the need for emergency dispatch of downstream pipeline dredging or initiation of emergency drainage measures to avoid structural damage caused by pipeline overload.

[0092] If there is significant water accumulation on the road surface, such as h surface(t) If the water level rises less than 100 mm but the water level in the well does not rise significantly (e.g., h(t) < 0.7H), and the instantaneous flow rate Q(t) upstream shows an abnormally increasing trend (e.g., ΔQ > 2 m³ / s), it may indicate that there is a problem with mixed rainwater and sewage connections, incorrect connections, or concentrated inflow of external water upstream. The system can further compare the spatiotemporal data of multiple wells and provide clues for identifying abnormal connection points by analyzing the flow rate and water level change sequence of adjacent inspection wells.

[0093] If there is significant water accumulation on the road surface, such as h surface(t) If the water level rises significantly but the water level in the well is not significant (e.g., h(t) < 0.6H), and the pressure sensor reading is small (e.g., P(t) < 5kPa), it indicates that the current plot has achieved rainwater and sewage separation, but the rainwater pipe network system has insufficient water conveyance capacity or there are high-risk conditions such as local compression or blockage in the pipes. The system will issue a warning of "insufficient rainwater pipe network water conveyance capacity".

[0094] Throughout the rainfall and rainstorm, gas sensor 14 continuously monitors the concentration of harmful gases in the well to prevent localized anaerobic conditions and the generation of dangerous gases such as high concentrations of hydrogen sulfide due to the instantaneous impact of large amounts of organic matter carried by the rainstorm. If a combination of "high water level / high pressure + high concentration of harmful gases" is detected, such as h(t) > 0.8H and Ht > 0.8H, then the gas sensor will detect the harmful gases. When S>20ppm, the system will automatically prevent the manhole cover from being opened by the smart electronic lock 19, and will remind maintenance personnel to take necessary ventilation and safety measures with a higher level alarm, while pushing the alarm information to the safety management department.

[0095] The water quality sampling path and frequency of the tracked vehicle are dynamically adjusted during rainfall: the sampling frequency is increased from once every 2 hours in the conventional mode to once every 30 minutes; the sampling depth is expanded from the conventional 3 fixed locations to 5-7 locations, with a focus on denser sampling at hydraulically sensitive locations such as upstream pipe inlets, near downstream pipe measurement sections, and different elevations in well shafts; for specific time periods, such as the first 2 hours after the start of rainfall, or in upstream sections sensitive to changes in operating conditions, the system can further shorten the sampling interval to once every 15 minutes. After all collected water samples are thoroughly mixed in a mixing container, multi-parameter water quality sensors perform comprehensive measurements to better assess the impact of combined sewer overflows on water quality. If necessary, the system can save the mixed water sample to a reserved sampling bottle for subsequent laboratory in-depth testing, providing data support for the development of subsequent drainage and pollution control strategies.

[0096] During rainfall, the increased sediment content in upstream water can accelerate silt buildup at the bottom of the pipeline. The system monitors the silt thickness H in real time. m(t) When H is detected m(t) Within a short period of time, such as within 1 hour, the growth exceeds 20mm, or H m(t) Exceeding threshold H th During periods of low flow or during periods of rainfall, the system will automatically activate the dredging device to perform bottom flushing, ensuring stable hydraulic conditions at the flow meter measurement section and preventing the rapid accumulation of bottom sediment from affecting the accuracy of flow measurement.

[0097] In the rainfall-focused monitoring mode, the system increases the upload frequency of key monitoring data from once every 15 minutes in the conventional mode to once every 5 minutes, ensuring that the monitoring platform can grasp the operational status of the pipeline section in real time. Through comprehensive analysis of multi-source data such as water level, pressure, manhole cover water accumulation, and gas, the system assists in identifying operating conditions such as combined sewer overflows, downstream obstruction, and abnormal external water inflow, providing strong technical support for the safe operation and decision-making of the urban drainage system. Simultaneously, the system can automatically generate different levels of early warning information based on preset early warning rules, such as general warnings, important warnings, and emergency alarms, and push them to relevant management departments and maintenance personnel, realizing a shift from passive response to proactive early warning.

[0098] According to an embodiment of the present invention, an embodiment of a method for intelligent monitoring and management of inspection wells is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0099] This embodiment provides an intelligent monitoring and management method for manholes, which can be used in the aforementioned intelligent monitoring and management manhole system. Figure 6This is a flowchart of an intelligent monitoring and management method for inspection wells according to an embodiment of the present invention, such as... Figure 6 As shown, the process includes the following steps: Step S201: Obtain hydraulic monitoring data, which includes flow information in the downstream horizontal pipe 4 of the inspection well and full-range water level information in the inspection well.

[0100] Step S202: Obtain water quality indicators of the mixed water sample in the inspection well, and obtain comprehensive water quality data based on the water quality indicators. The mixed water sample is obtained by mixing multiple water quality samples collected at different depths in the inspection well.

[0101] Step S203: Acquire real-time images of the garbage collection basket and silt accumulation data in the inspection well, send garbage cleaning prompts based on the real-time images, and issue silt cleaning instructions to the sludge cleaning device based on the silt accumulation data.

[0102] Step S204: Based on hydraulic monitoring data, comprehensive water quality data, garbage accumulation data, and silt accumulation data, determine whether there are any abnormal operating conditions and issue an early warning according to the type of abnormal operating condition.

[0103] Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention.

[0104] The following is a detailed reference. Figure 7 This diagram illustrates a suitable structural schematic for implementing an electronic device according to embodiments of the present invention. The electronic device may include a processor (e.g., a central processing unit, graphics processor, etc.) 701, which can perform various appropriate actions and processes based on a program stored in read-only memory (ROM) 702 or a program loaded from memory 708 into random access memory (RAM) 703. The RAM 703 also stores various programs and data required for the operation of the electronic device. The processor 701, ROM 702, and RAM 703 are interconnected via a bus 704. An input / output (I / O) interface 705 is also connected to the bus 704.

[0105] Typically, the following devices can be connected to I / O interface 705: input devices 706 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 707 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; memory devices 708 including, for example, magnetic tapes, hard disks, etc.; and communication devices 709. Communication device 709 allows electronic devices to exchange data via wireless or wired communication with other devices. Although Figure 7 Electronic devices with various devices are shown, but it should be understood that it is not required to implement or have all of the devices shown, and more or fewer devices may be implemented or have instead.

[0106] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 709, or installed from a memory 708, or installed from a ROM 702. When the computer program is executed by the processor 701, it performs the functions defined in the intelligent monitoring and management manhole method of the embodiments of the present invention.

[0107] Figure 7 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.

[0108] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, the intelligent monitoring and management checkpoint method shown in the above embodiments is implemented.

[0109] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0110] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. An intelligent monitoring and management system for inspection wells, characterized in that, The system includes: a hydraulic monitoring module, a water quality sampling and testing module, a waste and sludge management module, and a safety early warning module; The hydraulic monitoring module is used to acquire hydraulic monitoring data, which includes flow information in the downstream horizontal pipe of the inspection well and full-range water level information in the inspection well. The water quality sampling and testing module is used to acquire water quality indicators of the mixed water sample in the inspection well and obtain comprehensive water quality data based on the water quality indicators. The mixed water sample is obtained by mixing multiple water quality samples collected at different depths in the inspection well. The sampling frequency and sampling depth are determined based on the hydraulic monitoring data. The garbage and sludge management module is used to acquire real-time images of the garbage collection basket and sludge accumulation data in the inspection well, and send garbage cleaning prompts based on the real-time images and send sludge cleaning instructions to the sludge cleaning device based on the sludge accumulation data. The safety early warning module is used to determine whether there are abnormal operating conditions based on the hydraulic monitoring data, the comprehensive water quality data, the garbage accumulation data, and the silt accumulation data, and to issue an early warning according to the type of abnormal operating condition.

2. The system according to claim 1, characterized in that, The hydraulic monitoring module includes a flow monitoring submodule and a water level monitoring submodule; The flow monitoring submodule is used to determine the average flow velocity in the inspection well based on the water depth and flow velocity in the inspection well, the flow velocity distribution coefficient corresponding to the flow velocity in the inspection well, and to determine the flow information based on the average flow velocity. The water level monitoring submodule acquires first water level data collected by an electronic water gauge when the water level in the inspection well is less than the standard depth value, and determines the full-range water level information based on the first water level data; when the water level in the inspection well is greater than or equal to the standard depth value, it acquires second water level data collected by a radar level gauge, and determines the full-range water level information based on the sum of the first water level data and the second water level data.

3. The system according to claim 1, characterized in that, The water quality sampling and testing module includes a water quality sampling submodule and a water quality testing submodule; The water quality sampling submodule is used to move vertically inside the inspection well using a track trolley to obtain water quality samples at multiple measuring points at different depths, and to mix the water quality samples from different depths to obtain a mixed water quality sample. The measuring points include measuring points at the bottom of the well, measuring points at the middle water level, and measuring points at the high water level. The water quality testing submodule is used to test the mixed water sample after the water quality sampling submodule has completed a full sampling to obtain water quality indicators, and to obtain comprehensive water quality data based on the water quality indicators.

4. The system according to claim 1, characterized in that, The waste and sludge management module includes a waste cleaning submodule and a sludge cleaning submodule; The garbage cleaning submodule is used to identify the garbage coverage rate based on real-time images collected from the garbage collection basket. When the garbage coverage rate exceeds the garbage carrying capacity threshold, a garbage cleaning prompt is sent to remind staff to clean up the garbage. The sludge cleaning submodule is used to monitor sludge accumulation data in real time through a capacitive sludge level gauge. The sludge accumulation data includes bottom sludge thickness and thickness growth rate. When the bottom sludge thickness exceeds a preset thickness threshold and the thickness growth rate is positive, a sludge cleaning command is sent to the sludge cleaning device.

5. The system according to claim 1, characterized in that, The system also includes a gas detection module, a water depth and pressure detection module, a cover plate detection module, and a safety early warning module, which further includes a gas early warning submodule, an abnormal working condition early warning submodule, and a cover plate abnormality early warning submodule. The gas detection module is used to acquire gas concentration data inside the inspection well; The water depth and pressure detection module is used to acquire data on the water depth around the manhole cover and the pressure data of the manhole cover. The cover plate monitoring module is used to monitor the flipping angle and abnormal vibration of manhole covers and equipment compartment covers in real time; The gas early warning submodule is used to upload gas early warning information to the monitoring platform when the gas concentration data exceeds a preset safety threshold. The abnormal operating condition early warning submodule is used to determine different types of abnormal operating conditions based on the water depth data, pressure data, hydraulic monitoring data, comprehensive water quality data, garbage accumulation data and silt accumulation data, and output corresponding alarm information. The abnormal operating conditions include downstream obstruction, rainwater and sewage mixing, and insufficient water conveyance capacity of the rainwater pipe network. The cover plate abnormality early warning submodule is used to upload cover plate abnormality information to the monitoring platform when the cover plate monitoring module detects that the manhole cover has been opened without authorization or that abnormal vibration has occurred.

6. The system according to claim 1, characterized in that, The system also includes an auxiliary water level monitoring module; The auxiliary water level monitoring module is used to acquire water level images and identify the pixel positions of the water surface lines in the water level images through image processing algorithms. Based on the conversion matrix function between pixel positions and liquid levels, the actual water level height is calculated. The conversion matrix function is obtained by experimental calibration of the spatial mapping relationship between water level pixel positions and water level height.

7. A method for intelligent monitoring and management of inspection wells, characterized in that, The method includes: Acquire hydraulic monitoring data, which includes flow information in the downstream horizontal pipe of the inspection well and full-range water level information in the inspection well; The water quality indicators of the mixed water sample in the inspection well are obtained, and comprehensive water quality data are obtained based on the water quality indicators. The mixed water sample is obtained by mixing multiple water quality samples collected at different depths in the inspection well. The sampling frequency and sampling depth are determined based on the hydraulic monitoring data. The system acquires real-time images of the garbage collection basket and data on silt accumulation in the inspection well, sends garbage cleaning prompts based on the real-time images, and issues silt cleaning instructions to the sludge removal device based on the silt accumulation data. Based on the hydraulic monitoring data, the comprehensive water quality data, the garbage accumulation data, and the silt accumulation data, determine whether there are any abnormal operating conditions and issue an early warning according to the type of abnormal operating condition.

8. An electronic device, characterized in that, include: The system includes a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes the computer instructions to perform the intelligent monitoring and management manhole method of claim 7.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to execute the intelligent monitoring and management manhole method of claim 7.

10. A computer program product, characterized in that, It includes computer instructions for causing a computer to execute the intelligent monitoring and management inspection well method of claim 7.

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