A rainwater pipe network discharge detection device

Abstract

This invention relates to the field of municipal drainage monitoring technology and discloses a stormwater pipe network discharge detection device, comprising a frame assembly, an ultrasonic self-cleaning pretreatment module, a multi-parameter water quality synchronous detection module, a multi-sensor fusion flow adaptive calibration module, and a distributed linkage closed-loop control module. The frame assembly is fixedly installed on the well wall or wellhead of the stormwater pipe network inspection well. The ultrasonic self-cleaning pretreatment module is fixed to the water inlet end of the frame assembly. The multi-parameter water quality synchronous detection module is fixed inside the sealed waterproof detection chamber of the frame assembly, and the detection end of the multi-parameter water quality synchronous detection module is correspondingly set in the outlet pressure stabilization detection area of ​​the ultrasonic self-cleaning pretreatment module. This invention achieves anti-clogging self-cleaning, high-precision detection under all operating conditions, anomaly tracing, and closed-loop control, significantly improving the device's operational stability and pollution control efficiency, and is suitable for online monitoring of urban stormwater pipe network discharge.

Description

Technical Field

[0001] This invention belongs to the field of municipal drainage monitoring technology, and in particular relates to a rainwater pipe network discharge detection device. Background Technology

[0002] With the deepening of sponge city construction and urban water environment management, the online and accurate monitoring of stormwater pipe networks, as the core carrier of urban drainage systems, is a crucial means to control non-point source pollution, investigate and punish illegal sewage discharge, and ensure water ecological security. Existing commercially available online monitoring devices for stormwater pipe networks generally suffer from the following unresolved core pain points in engineering applications:

[0003] 1. Insufficient pollution and blockage prevention capabilities: Existing devices only use fixed grids for simple filtration. Mud, fallen leaves, and oil in the rainwater pipe network can easily cause blockage of the flow channels and contamination and scaling of the sensor detection end face, resulting in drift and distortion of detection data. The operation and maintenance cycle is only 7-15 days, and the operation and maintenance cost is extremely high. At the same time, the multi-parameter sensors are installed in a decentralized manner, and the sampling time and water sample environment are different, resulting in poor data consistency and failing to provide a reliable basis for judging abnormal discharge.

[0004] 2. Poor adaptability to flow detection conditions: Existing devices mostly use a single ultrasonic level meter or electromagnetic flow meter. Rainwater pipe networks have extreme conditions such as full pipe, non-full pipe, low flow rate, and flow interruption. The detection error of a single sensor exceeds 10% under non-full pipe and low flow rate conditions, which cannot meet the requirements for accurate detection under all conditions. Moreover, there is no automatic sampling mechanism for linkage of detection data, and abnormal events cannot be traced and evidenced, thus losing the core basis for administrative law enforcement.

[0005] 3. Lack of distributed linkage and closed-loop management capabilities: Existing devices are all single-node independent operations, which can only realize data collection and uploading, and cannot realize synchronous collection and linkage comparison of multiple nodes in the upstream and downstream of the pipeline, and cannot accurately locate the source of illegal discharge; at the same time, they only have monitoring functions, and lack closed-loop execution mechanisms for on-site interception and graded early warning, and cannot build a full-process management system of detection-location-early warning-disposal, resulting in extremely low pollution prevention and control efficiency.

[0006] Therefore, a rainwater drainage network discharge detection device is needed to solve the above problems. Summary of the Invention

[0007] The purpose of this invention is to provide a rainwater pipe network discharge detection device to solve the problems mentioned in the background art.

[0008] To achieve the above objectives, the present invention provides the following technical solution:

[0009] A stormwater drainage network discharge detection device includes a frame assembly, an ultrasonic self-cleaning pretreatment module, a multi-parameter water quality synchronous detection module, a multi-sensor fusion flow adaptive calibration module, and a distributed linkage closed-loop control module. The frame assembly is fixedly installed on the wall or opening of a stormwater drainage network inspection well. The ultrasonic self-cleaning pretreatment module is fixed to the inlet end of the frame assembly. The multi-parameter water quality synchronous detection module is fixed inside a sealed, waterproof detection chamber of the frame assembly, with its detection end corresponding to the outlet pressure stabilization detection area of ​​the ultrasonic self-cleaning pretreatment module. The detection end of the multi-sensor fusion flow adaptive calibration module is corresponding to the flow cross-section of the stormwater drainage network, and its signal interaction end is bidirectionally electrically connected to the signal end of the multi-parameter water quality synchronous detection module. The distributed linkage closed-loop control module is fixed inside a top protective chamber of the frame assembly, and its control end is electrically connected to the controlled ends of the ultrasonic self-cleaning pretreatment module, the multi-parameter water quality synchronous detection module, and the multi-sensor fusion flow adaptive calibration module.

[0010] A further technical solution is provided, wherein the ultrasonic self-cleaning pretreatment module includes an automatic backwashing filter unit, an ultrasonic self-cleaning unit, and an inlet pressure stabilizing unit; the inlet end of the automatic backwashing filter unit is connected to the inlet end of the rainwater pipe network, the outlet end of the automatic backwashing filter unit is connected to the inlet end of the inlet pressure stabilizing unit, the fixed end of the ultrasonic self-cleaning unit is fixedly connected to the frame assembly, the ultrasonic transmitting end of the ultrasonic self-cleaning unit is set facing the detection end face of the multi-parameter water quality synchronous detection module, and the controlled ends of the automatic backwashing filter unit and the ultrasonic self-cleaning unit are both electrically connected to the distributed linkage closed-loop control module.

[0011] The advantages of this technical solution are: The automatic backwashing filter unit achieves fully automatic filtration and backwashing of large particulate impurities, preventing channel blockage; the ultrasonic self-cleaning unit enables online in-situ cleaning of the sensor detection face, preventing detection distortion caused by contaminant adhesion; and the inlet pressure stabilizing unit eliminates water flow turbulence, providing a stable flow and pressure environment for water quality testing, ensuring the stability and accuracy of detection data from the source, extending the device's operation and maintenance cycle to 3-6 months, and significantly reducing operation and maintenance costs.

[0012] A further technical solution is provided, wherein the ultrasonic self-cleaning unit includes a high-frequency ultrasonic generator submodule and an ultrasonic transducer; the high-frequency ultrasonic generator submodule is fixed in the waterproof chamber of the frame assembly, the signal output terminal of the high-frequency ultrasonic generator submodule is electrically connected to the ultrasonic transducer, the ultrasonic transducer is fixed in the inner wall of the cavity of the water inlet pressure stabilizing unit, and the emitting surface of the ultrasonic transducer is arranged parallel to the detection end face of the multi-parameter water quality synchronous detection module.

[0013] The advantages of this technical solution are: by using parallel ultrasonic transducers, a uniform high-frequency ultrasonic cavitation effect can be formed on the sensor detection end face, which can thoroughly remove attached mud, oil, and microbial biofilm. No manual disassembly and cleaning is required, which can achieve long-term stable operation without human intervention and ensure that the sensor detection accuracy does not drift over a long period of time.

[0014] A further technical solution is provided, wherein the multi-parameter water quality synchronous detection module includes a multi-parameter sensor group and a synchronous acquisition and control submodule; the detection ends of the multi-parameter sensor group are all immersed in the outlet pressure stabilization detection area of ​​the inlet pressure stabilization unit, the synchronous acquisition and control submodule is fixed in the sealed waterproof detection chamber of the frame assembly, the multiple synchronous acquisition channels of the synchronous acquisition and control submodule are electrically connected to the signal ends of each sensor of the multi-parameter sensor group, and the signal output end of the synchronous acquisition and control submodule is electrically connected to the distributed linkage closed-loop management and control module.

[0015] The effect of this technical solution is that by using the synchronous acquisition and control submodule, microsecond-level synchronous signal acquisition of all water quality sensors is achieved, completely eliminating the time difference between the sampling times of different sensors, ensuring the time consistency of multi-source water quality data, and providing unbiased basic data for the accurate determination of abnormal discharges.

[0016] A further technical solution is that the multi-parameter sensor group includes a COD detection sensor, an ammonia nitrogen detection sensor, a suspended solids detection sensor, a pH detection sensor, and a hydrostatic level sensor; the detection ends of the COD detection sensor, ammonia nitrogen detection sensor, suspended solids detection sensor, and pH detection sensor are on the same horizontal plane, and the detection end of the hydrostatic level sensor is fixed vertically within the effluent pressure stabilization detection area.

[0017] The advantages of this technical solution are: setting the detection end faces of all water quality detection sensors on the same horizontal plane, ensuring that all sensors are in the same water sample environment, completely eliminating detection errors caused by spatial differences in water samples, and further improving the accuracy and consistency of water quality detection data; and providing basic data for subsequent flow compensation calibration by using a hydrostatic level sensor to detect the liquid level in the detection area in real time.

[0018] A further technical solution is provided, wherein the multi-sensor fusion flow adaptive calibration module includes a multi-source flow detection unit, an operating condition adaptive calibration submodule, and an automatic source tracing and sampling unit; the detection end of the multi-source flow detection unit is correspondingly set at the flow section of the rainwater pipe network, the signal output end of the multi-source flow detection unit is electrically connected to the signal input end of the operating condition adaptive calibration submodule, the signal interaction end of the operating condition adaptive calibration submodule is bidirectionally electrically connected to the distributed linkage closed-loop control module, the sampling end of the automatic source tracing and sampling unit is connected to the flow pipeline of the rainwater pipe network, and the controlled end of the automatic source tracing and sampling unit is electrically connected to the distributed linkage closed-loop control module.

[0019] The advantages of this technical solution are: it enables the synchronous acquisition of multi-dimensional flow-related data through a multi-source flow detection unit; it enables the fusion calculation of multi-sensor data and adaptive calibration compensation under all operating conditions through an adaptive calibration submodule, thus completely solving the problem of large detection errors of a single sensor under complex operating conditions; and it enables the synchronous retention of water samples for abnormal discharge events through an automatic source tracing and sampling unit, providing reliable source tracing evidence for administrative law enforcement.

[0020] A further technical solution is provided, wherein the multi-source flow detection unit includes an ultrasonic flow sensor, a radar level sensor, and a differential pressure sensor; the transducer of the ultrasonic flow sensor is fixed to both sides of the pipe wall of the rainwater pipe network, the radar level sensor is fixed to the top of the frame assembly with its detection end facing the liquid surface of the rainwater pipe network, the two detection ends of the differential pressure sensor are respectively connected to the high-pressure end and the low-pressure end of the flow passage of the rainwater pipe network, and the signal ends of the ultrasonic flow sensor, the radar level sensor, and the differential pressure sensor are all electrically connected to the operating condition adaptive calibration submodule.

[0021] The advantages of this technical solution are: it acquires flow velocity data through an ultrasonic flow sensor, liquid level data through a radar level sensor, and differential pressure data through a differential pressure sensor, thus achieving complementary verification of multi-source data; the adaptive calibration submodule can automatically match the optimal fusion algorithm according to the current operating conditions, achieving accurate flow detection across the entire operating range, including full pipe, non-full pipe, and low flow rate, with the detection error controlled within ±1%, which is far superior to the industry average.

[0022] A further technical solution is provided, wherein the automatic traceability and sampling unit includes a sampling control submodule, a quantitative sampling solenoid valve group, and a multi-channel sampling storage unit; the signal input terminal of the sampling control submodule is electrically connected to the distributed linkage closed-loop management and control module, the control output terminal of the sampling control submodule is electrically connected to the quantitative sampling solenoid valve group, the inlet terminal of the quantitative sampling solenoid valve group is connected to the flow pipeline of the rainwater pipe network, and the outlet terminal of the quantitative sampling solenoid valve group is connected to each sampling bottle of the multi-channel sampling storage unit in a corresponding manner.

[0023] The advantages of this technical solution are: trigger-based quantitative sampling for abnormal discharge events is achieved through the sample retention control submodule; graded sampling for multiple abnormal events is achieved through the multi-channel sample retention storage unit; one-to-one correspondence between water samples and test data and timestamps is ensured; full-process traceability of abnormal discharge events is achieved; and the legality and effectiveness of administrative law enforcement are guaranteed.

[0024] A further technical solution includes an industrial edge computing gateway submodule, an industrial wireless communication submodule, and a pipeline node linkage communication submodule. The industrial edge computing gateway submodule is fixed in the top protective compartment of the rack assembly. The signal input terminal of the industrial edge computing gateway submodule is electrically connected to the signal output terminals of the synchronous acquisition and control submodule and the working condition adaptive calibration submodule, respectively. The industrial wireless communication submodule is bidirectionally electrically connected to the industrial edge computing gateway submodule, and the pipeline node linkage communication submodule is bidirectionally electrically connected to the interactive terminal of the industrial edge computing gateway submodule.

[0025] The advantages of this technical solution are: real-time processing, anomaly detection, and logic control of local data are achieved through the industrial edge computing gateway submodule, without relying on cloud servers, with a response speed of milliseconds; remote data interaction with the urban drainage management cloud platform is achieved through the industrial wireless communication submodule; and synchronous data acquisition and linkage comparison with other detection nodes upstream and downstream of the pipeline are achieved through the pipeline node linkage communication submodule, which can accurately locate the source of abnormal discharge and solve the industry pain point that single-node detection cannot locate the source of illegal discharge.

[0026] A further technical solution includes a distributed linkage closed-loop control module that further includes an abnormal emission closed-loop execution unit. The abnormal emission closed-loop execution unit includes an electric shut-off valve control submodule and an audible and visual alarm submodule. The signal input terminal of the electric shut-off valve control submodule is electrically connected to the industrial edge computing gateway submodule, the output terminal of the electric shut-off valve control submodule is electrically connected to the electric shut-off valve at the outlet of the rainwater pipe network, and the controlled terminal of the audible and visual alarm submodule is electrically connected to the industrial edge computing gateway submodule.

[0027] The effects of this technical solution are as follows: When an abnormal discharge event is detected, the electric shut-off valve can be directly controlled to close through the industrial edge computing gateway submodule, realizing the on-site interception of abnormal sewage and preventing abnormal sewage from entering natural water bodies and causing pollution; at the same time, the on-site graded early warning can be realized through the audible and visual alarm submodule, and with the remote alarm of the cloud platform, a closed-loop management system for the entire process from detection, location, early warning to disposal can be constructed, which greatly improves the management efficiency and pollution prevention and control capabilities of rainwater pipe network discharge.

[0028] Compared with the prior art, the beneficial effects of the present invention are:

[0029] This invention, through an ultrasonic self-cleaning pretreatment module and a multi-parameter water quality synchronous detection module, achieves fully automatic anti-clogging self-cleaning of inlet water and microsecond-level synchronous acquisition of multiple parameters, completely solving the problems of flow channel blockage, sensor contamination, and data asynchrony, extending the operation and maintenance cycle by more than 4 times, and improving the consistency of detection data;

[0030] This invention achieves high-precision flow detection under all operating conditions (full pipe / non-full pipe / low flow rate) through a multi-sensor fusion flow adaptive calibration module, with the detection error controlled within ±1%. Simultaneously, through automatic traceability and sampling of detection data, it enables full-process traceability of abnormal events, providing a legal basis for administrative law enforcement.

[0031] This invention achieves multi-node linkage comparison and precise location of pollution sources in the upstream and downstream of the pipeline through a distributed linkage closed-loop management and control module. At the same time, it constructs a closed-loop management and control system covering the entire process of detection, location, early warning and disposal through on-site interception and graded early warning, thereby improving the efficiency of pollution prevention and control.

[0032] To more clearly illustrate the structural features and effects of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. Attached Figure Description

[0033] Figure 1 This is a schematic diagram of the overall architecture of the present invention;

[0034] Figure 2 This is a schematic diagram of the architecture of the multi-parameter water quality synchronous detection module of the present invention;

[0035] Figure 3 This is a schematic diagram of the architecture of the multi-sensor fusion flow adaptive calibration module of the present invention;

[0036] Figure 4 This is a schematic diagram of the architecture of the distributed linkage closed-loop control module of the present invention;

[0037] Figure 5 This is a schematic diagram of the architecture of the ultrasonic self-cleaning pretreatment module of the present invention.

[0038] In the diagram: 1. Rack assembly; 2. Multi-parameter water quality synchronous detection module; 21. Multi-parameter sensor group; 211. COD detection sensor; 212. Ammonia nitrogen detection sensor; 213. Suspended solids detection sensor; 214. pH detection sensor; 215. Static pressure level sensor; 22. Synchronous acquisition and control submodule; 3. Multi-sensor fusion flow adaptive calibration module; 31. Multi-source flow detection unit; 311. Ultrasonic flow sensor; 312. Radar level sensor; 313. Differential pressure sensor; 32. Operating condition adaptive calibration submodule; 33. Automatic source traceability and sampling unit; 331. 332. Sample retention control submodule; 333. Quantitative sampling solenoid valve group; 334. Multi-channel sample retention storage unit; 4. Distributed linkage closed-loop management and control module; 45. Industrial edge computing gateway submodule; 46. Industrial wireless communication submodule; 47. Pipeline node linkage communication submodule; 48. Abnormal discharge closed-loop execution unit; 49. Electric shut-off valve control submodule; 40. Audible and visual alarm submodule; 50. Ultrasonic self-cleaning pretreatment module; 51. Automatic backwashing filter unit; 52. Ultrasonic self-cleaning unit; 521. High-frequency ultrasonic generator submodule; 522. Ultrasonic transducer; 53. Inlet water pressure stabilizing unit. Detailed Implementation

[0039] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0040] The specific implementation of the present invention will be described in detail below with reference to specific embodiments.

[0041] like Figure 1 , Figure 2 , Figure 3 , Figure 4 , Figure 5 As shown, this embodiment of the invention provides a rainwater pipe network discharge detection device, including a frame assembly 1, an ultrasonic self-cleaning pretreatment module 5, a multi-parameter water quality synchronous detection module 2, a multi-sensor fusion flow adaptive calibration module 3, and a distributed linkage closed-loop control module 4.

[0042] In this embodiment, the frame assembly 1 is a modular mounting bracket made of 304 stainless steel, including a wellhead mounting flange 11, a vertical fixing bracket 12, a sealed waterproof testing chamber, and a top protective chamber. The wellhead mounting flange 11 is fixed to the inner wall of the rainwater pipe network inspection well by expansion bolts. The top of the vertical fixing bracket 12 is bolted to the wellhead mounting flange 11. The sealed waterproof testing chamber is fixed to the middle of the vertical fixing bracket 12 by clamps. The top protective chamber is fixed to the upper surface of the wellhead mounting flange 11.

[0043] The overall effect of this embodiment is as follows: Through the modular frame assembly 1, it can be adapted to rainwater pipe network inspection wells of different specifications and depths, making installation and commissioning convenient. At the same time, through the graded waterproof cabin design, it provides IP68 protection for the electronic module, ensuring the long-term stable operation of the device under damp and immersion conditions in the well.

[0044] In this embodiment, the ultrasonic self-cleaning pretreatment module 5 is fixed to the water inlet end of the vertical fixed bracket 12, and includes an automatic backwashing filter unit 51, an ultrasonic self-cleaning unit 52, and a water inlet pressure stabilizing unit 53. The automatic backwashing filter unit 51 adopts an Arkal disc self-cleaning filter from Israel. Its water inlet end is connected to the rainwater pipe network through a PVC pipe, and its water outlet end is connected to the water inlet of the water inlet pressure stabilizing unit 53 through a pipe. The water inlet pressure stabilizing unit 53 is a 304 stainless steel sealed pressure stabilizing cavity, which is fixed in the middle of the vertical fixed bracket 12. The ultrasonic self-cleaning unit 52 is fixed to the inner wall of the water inlet pressure stabilizing unit 53 cavity and inside the sealed waterproof testing chamber.

[0045] The overall effect of this embodiment is as follows: Through the three-stage design of the ultrasonic self-cleaning pretreatment module 5, the entire process of inlet water filtration, pressure stabilization, and sensor self-cleaning pretreatment is realized. This solves the problems of flow channel blockage and sensor contamination in rainwater pipe networks with high sediment and high impurities from the source, and greatly improves the environmental adaptability and long-term operational stability of the device.

[0046] In this embodiment, the ultrasonic self-cleaning unit 52 includes a high-frequency ultrasonic generator submodule 521 and an ultrasonic transducer 522. The high-frequency ultrasonic generator submodule 521 adopts a Shenzhen Jiemeng JP-040S industrial-grade ultrasonic generator, which is fixed in a sealed waterproof testing chamber. The signal output end is electrically connected to the ultrasonic transducer 522 through a shielded cable, and the controlled end is electrically connected to the industrial edge computing gateway submodule 41. The ultrasonic transducer 522 is fixed to the inner wall of the water inlet pressure stabilizing unit 53 by threads, and the emitting surface is parallel to the detection end face of the multi-parameter sensor group 21 with a spacing of 50mm.

[0047] The overall effect of this embodiment is as follows: By using the commercially mature high-frequency ultrasonic generator submodule 521 and the matching ultrasonic transducer 522, a stable cavitation cleaning effect can be formed on the sensor end face. No manual maintenance is required, realizing online self-cleaning of the sensor, ensuring long-term stable detection accuracy, and extending the device operation and maintenance cycle from the industry average of 15 days to 6 months.

[0048] In this embodiment, the multi-parameter water quality synchronous detection module 2 is fixed inside the sealed waterproof detection chamber and the water inlet pressure stabilizing unit 53, including a multi-parameter sensor group 21 and a synchronous acquisition and control submodule 22; the synchronous acquisition and control submodule 22 adopts the American NI cDAQ-9178 synchronous acquisition chassis, which is fixed inside the sealed waterproof detection chamber. The multiple synchronous acquisition channels are electrically connected to each sensor of the multi-parameter sensor group 21 through shielded cables, and the signal output terminal is electrically connected to the industrial edge computing gateway submodule 41 through Ethernet; the multi-parameter sensor group 21 is fixed to the detection window of the water inlet pressure stabilizing unit 53 by threads, and the detection end is immersed in the pressure stabilizing detection area of ​​the water inlet pressure stabilizing unit 53.

[0049] The overall effect of this embodiment is as follows: Through the industrial-grade synchronous acquisition and control submodule 22, microsecond-level synchronous acquisition of all water quality sensors is achieved, which completely eliminates the problem of time difference in multi-parameter data caused by non-steady rainwater flow, ensures the consistency of water quality data, and provides reliable basic data for abnormal discharge judgment.

[0050] In this embodiment, the multi-parameter sensor group 21 includes a COD detection sensor 211, an ammonia nitrogen detection sensor 212, a suspended solids detection sensor 213, a pH detection sensor 214, and a hydrostatic level sensor 215. The COD detection sensor 211 uses a Hach CODmax III online COD analyzer, the ammonia nitrogen detection sensor 212 uses a Hach Amtax Compact II ammonia nitrogen sensor, the suspended solids detection sensor 213 uses a German E+H CUS52D suspended solids sensor, and the pH detection sensor 214 uses a Mettler Toledo InPro4800i pH sensor. The detection ends of the above four sensors are all on the same horizontal plane. The hydrostatic level sensor 215 uses a Siemens SITRANS LH100 submersible hydrostatic level gauge, which is fixed vertically in the detection area of ​​the inlet pressure stabilizing unit 53.

[0051] The overall effect of this embodiment is as follows: All sensors adopt industry-leading commercial mature products with stable and reliable detection performance. At the same time, the installation design on the same horizontal plane ensures that all sensors are in the same water sample environment, eliminating detection errors caused by spatial differences and further improving the accuracy of water quality detection data.

[0052] In this embodiment, the multi-sensor fusion flow adaptive calibration module 3 is installed at the flow section of the rainwater pipe network, including a multi-source flow detection unit 31, an operating condition adaptive calibration submodule 32, and an automatic traceability sampling unit 33. The detection ends of each sensor in the multi-source flow detection unit 31 are set at the flow section of the pipe network, and the signal end is electrically connected to the operating condition adaptive calibration submodule 32. The operating condition adaptive calibration submodule 32 adopts a TI TMS320F28335 DSP core board, which is fixed in a sealed waterproof detection chamber. The signal interaction end is bidirectionally electrically connected to the industrial edge computing gateway submodule 41 via a CAN bus. The automatic traceability sampling unit 33 adopts a Qingdao Lubo LB-8000K online automatic sampler, which is fixed at the wall of the inspection well. The sampling end is connected to the flow pipeline of the pipe network, and the controlled end is electrically connected to the industrial edge computing gateway submodule 41.

[0053] The overall effect of this embodiment is as follows: By using a multi-sensor fusion flow detection scheme, the limitations of a single sensor in operation are overcome, and high-precision flow detection is achieved in all operating conditions of rainwater pipe network, including full pipe, non-full pipe, and low flow rate. At the same time, through the automatic sampling design linked with the detection data, the source tracing and evidence collection of abnormal discharge events are realized, solving the industry pain point that existing devices cannot trace the source.

[0054] In this embodiment, the multi-source flow detection unit 31 includes an ultrasonic flow sensor 311, a radar level sensor 312, and a differential pressure sensor 313. The ultrasonic flow sensor 311 is a Siemens SITRANS FUS1010 clamp-on ultrasonic flow meter, with the transducer fixed to both sides of the pipe wall. The radar level sensor 312 is a VEGA VEGAPULS 64 radar level meter, fixed to the top of the vertical support 12, with the detection end facing vertically toward the liquid surface of the pipe network. The differential pressure sensor 313 is a Rosemount 3051 differential pressure sensor, with its two detection ends connected to the high-pressure end and low-pressure end of the flow path in the pipe network, respectively. The signal ends of all three are electrically connected to the operating condition adaptive calibration submodule 32 via shielded cables.

[0055] The overall effect of this embodiment is as follows: Through the multi-source complementarity of three types of data, namely flow rate, liquid level and pressure difference, the working condition adaptive calibration submodule can automatically match the optimal fusion algorithm according to the real-time working condition, realize accurate flow detection in the entire working condition range, and control the detection error within ±1%, which is far better than the industry average of ±10%.

[0056] In this embodiment, the automatic traceability sample retention unit 33 includes a sample retention control submodule 331, a quantitative sampling solenoid valve group 332, and a multi-channel sample retention storage unit 333. The sample retention control submodule 331 is a Siemens S7-200 SMART PLC integrated with the sample retention instrument. Its signal input terminal is electrically connected to the industrial edge computing gateway submodule 41 via Ethernet, and its control output terminal is electrically connected to the quantitative sampling solenoid valve group 332. The quantitative sampling solenoid valve group 332 adopts an Airtac 2W series waterproof solenoid ball valve. Its inlet end is connected to the pipeline network through the sampling pump, and its outlet end is connected to each of the 12 sample bottles in the multi-channel sample retention storage unit 333. The multi-channel sample retention storage unit 333 is a 12-bottle sample box with constant temperature refrigeration function, which is fixed to the wall of the inspection well.

[0057] The overall effect of this embodiment is as follows: Through the trigger-based automatic sampling design, water samples with corresponding timestamps can be collected simultaneously when water quality exceeds the standard, realizing one-to-one binding of detection data and water samples. This provides a legal and effective physical basis for administrative law enforcement against illegal sewage discharge and fills the gap in the lack of traceability capability of existing devices.

[0058] In this embodiment, the distributed linkage closed-loop control module 4 is fixed inside the top protective cabin and includes an industrial edge computing gateway submodule 41, an industrial wireless communication submodule 42, a pipeline node linkage communication submodule 43, and an abnormal emission closed-loop execution unit 44. The industrial edge computing gateway submodule 41 adopts the Advantech UNO-2372G industrial edge computing gateway and is fixed inside the top protective cabin. The industrial wireless communication submodule 42 adopts the Quectel RG500Q 5G industrial module and is bidirectionally electrically connected to the industrial edge computing gateway submodule 41 through a Mini PCIe interface. The pipeline node linkage communication submodule 43 adopts the Ebitec E32-433T30DLoRa module and is bidirectionally electrically connected to the industrial edge computing gateway submodule 41 through a serial port.

[0059] The overall effect of this embodiment is as follows: Real-time processing and anomaly detection of local data are achieved through the industrial edge computing gateway, with a response speed of milliseconds, without relying on the cloud; Remote data uploading and maintenance are achieved through the 5G module; Wireless networking and synchronous data comparison of multiple nodes upstream and downstream of the pipeline are achieved through the LoRa module, which can accurately locate the source of abnormal emissions and solve the problem that single-node detection cannot locate the source of illegal discharge.

[0060] In this embodiment, the abnormal discharge closed-loop execution unit 44 includes an electric shut-off valve control submodule 441 and an audible and visual alarm submodule 442. The electric shut-off valve control submodule 441 adopts the Changzhou Power Station Auxiliary Machine SND series linear electric actuator controller. The signal input end is electrically connected to the industrial edge computing gateway submodule 41 via a 485 bus, and the output end is electrically connected to the electric butterfly valve at the outlet of the pipeline. The audible and visual alarm submodule 442 adopts the Dongfang Xuanchuang BBJ-2 explosion-proof audible and visual alarm, which is fixed on the upper surface of the wellhead mounting flange 11. The controlled end is electrically connected to the relay output end of the industrial edge computing gateway submodule 41.

[0061] The overall effect of this embodiment is as follows: Through the abnormal discharge closed-loop execution unit 44, on-site interception and early warning of excessive events are realized, avoiding abnormal sewage from entering natural water bodies and causing pollution. With the cooperation of cloud-based remote management and control, a closed-loop management and control system for the entire process from detection, location, early warning to disposal is constructed, which greatly improves the efficiency of rainwater pipe network pollution prevention and control.

[0062] Working principle and usage process of this invention:

[0063] This device is fixedly installed in the stormwater pipe network inspection well via frame assembly 1, with the inlet end corresponding to the direction of water flow from the pipe network. The overall workflow is divided into four progressive stages, with structural labels throughout the process, as detailed below:

[0064] 1. Water inlet pretreatment and self-cleaning stage: The water in the rainwater pipe network first enters the ultrasonic self-cleaning pretreatment module 5. The water flow first passes through the automatic backwashing filter unit 51, where large particles such as mud, fallen leaves, and domestic waste are intercepted by the stacked filter screen. The industrial edge computing gateway submodule 41 controls the automatic backwashing filter unit 51 to perform backwashing operation at regular intervals based on the pressure difference data before and after the filter unit, removing the intercepted impurities and preventing flow channel blockage. The filtered water flows into the water inlet pressure stabilizing unit 53, eliminating water flow turbulence and forming a stable flow and pressure detection zone. At the same time, the industrial edge computing gateway submodule 41 controls the high-frequency ultrasonic generator submodule 521 to drive the ultrasonic transducer 522 to work at regular intervals, forming a high-frequency ultrasonic cavitation effect on the detection end face of the multi-parameter sensor group 21, thoroughly removing the attached mud, oil, and microbial film, realizing online self-cleaning of the sensor detection end face, and ensuring long-term stable detection accuracy.

[0065] 2. Multi-parameter water quality synchronous detection stage: The water in the inlet pressure stabilizing unit 53 is tested for water quality parameters by the multi-parameter water quality synchronous detection module 2. The synchronous acquisition control submodule 22 simultaneously sends acquisition commands to the COD detection sensor 211, ammonia nitrogen detection sensor 212, suspended solids detection sensor 213, pH detection sensor 214, and static pressure level sensor 215 of the multi-parameter sensor group 21, realizing microsecond-level synchronous acquisition of all water quality parameters and completely eliminating the time difference between the sampling times of different sensors. At the same time, the detection end faces of all water quality detection sensors are on the same horizontal plane, ensuring that all sensors are in the same water sample environment, eliminating detection errors caused by spatial differences, and obtaining accurate and consistent water quality detection data. The static pressure level sensor 215 detects the liquid level height in the detection area in real time, providing basic data for subsequent flow compensation calibration. The synchronous acquisition control submodule 22 transmits the collected water quality data to the industrial edge computing gateway submodule 41 in real time.

[0066] 3. Multi-sensor fusion flow calibration and anomaly sampling stage: The water in the rainwater pipe network is flow-detected by the multi-sensor fusion flow adaptive calibration module 3. The ultrasonic flow sensor 311 of the multi-source flow detection unit 31 detects the water velocity data in real time, the radar level sensor 312 detects the liquid level data in the pipe network in real time, and the differential pressure sensor 313 detects the differential pressure data of the flowing pipeline in real time. All data are synchronously transmitted to the operating condition adaptive calibration submodule 32. The operating condition adaptive calibration submodule 32 automatically determines the current operating condition of the pipe network (full pipe / not full pipe / low flow rate) based on the liquid level data and flow velocity data, and automatically matches the corresponding multi-sensor fusion algorithm to perform real-time adaptive calibration of the flow data. The system uses a calibrated compensation method to eliminate detection errors caused by changes in operating conditions, achieving high-precision flow detection across the entire operating range. The calibrated flow data is then transmitted to the industrial edge computing gateway submodule 41. When the industrial edge computing gateway submodule 41 determines that an abnormal discharge event exists based on water quality and flow data, it immediately sends a trigger command to the sample retention control submodule 331 of the automatic traceability sample retention unit 33. The sample retention control submodule 331 controls the quantitative sampling solenoid valve group 332 to open, quantitatively collecting the water sample currently flowing through the pipeline into the corresponding sample bottle of the multi-channel sample retention storage unit 333. The water sample data is bound and stored one by one with the corresponding detection data, timestamp, and operating condition data, enabling traceability and evidence collection of abnormal discharge events.

[0067] 4. Distributed Linkage Control and Closed-Loop Disposal Stage: During device operation, the industrial edge computing gateway submodule 41 processes locally collected water quality and flow data in real time. Simultaneously, through the pipeline node linkage communication submodule 43, it sends synchronous acquisition commands to other detection nodes upstream and downstream of the rainwater pipeline to obtain synchronous detection data from upstream and downstream nodes. Through time-series comparison and concentration change analysis of multi-node data, the source of abnormal discharge is accurately located. At the same time, the industrial edge computing gateway submodule 41 uploads local detection data, abnormal event information, and pollution source location results to the urban drainage management cloud platform in real time through the industrial wireless communication submodule 42 to achieve remote monitoring and management. When a severe abnormal discharge event is detected, the industrial edge computing gateway submodule 41 directly sends control commands to the abnormal discharge closed-loop execution unit 44. The electric shut-off valve control submodule 441 closes the electric shut-off valve at the outlet of the pipeline to achieve on-site interception of abnormal sewage, preventing abnormal sewage from entering natural water bodies and causing pollution. At the same time, the audible and visual alarm submodule 442 activates on-site graded early warning to notify maintenance personnel to arrive at the scene in time for disposal, completing the entire closed-loop control process.

[0068] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A stormwater network discharge detection apparatus, characterised in that: The system includes a rack assembly (1), an ultrasonic self-cleaning pretreatment module (5), a multi-parameter water quality synchronous detection module (2), a multi-sensor fusion flow adaptive calibration module (3), and a distributed linkage closed-loop control module (4). The rack assembly (1) is fixedly installed on the well wall or wellhead of the rainwater pipe network inspection well. The ultrasonic self-cleaning pretreatment module (5) is fixed at the water inlet end of the rack assembly (1). The multi-parameter water quality synchronous detection module (2) is fixed inside the sealed waterproof detection chamber of the rack assembly (1), and the detection end of the multi-parameter water quality synchronous detection module (2) is correspondingly set at the ultrasonic self-cleaning pretreatment module (5). The outlet pressure stabilization detection area of ​​the multi-sensor fusion flow adaptive calibration module (3) is set at the flow section of the rainwater pipe network. The signal interaction end of the multi-sensor fusion flow adaptive calibration module (3) is bidirectionally electrically connected to the signal end of the multi-parameter water quality synchronous detection module (2). The distributed linkage closed-loop control module (4) is fixed in the top protective chamber of the frame assembly (1). The control end of the distributed linkage closed-loop control module (4) is electrically connected to the controlled end of the ultrasonic self-cleaning pretreatment module (5), the multi-parameter water quality synchronous detection module (2), and the multi-sensor fusion flow adaptive calibration module (3).

2. The rainwater pipe network discharge detection device according to claim 1, characterized in that: The ultrasonic self-cleaning pretreatment module (5) includes an automatic backwashing filter unit (51), an ultrasonic self-cleaning unit (52), and an inlet pressure stabilizing unit (53). The inlet end of the automatic backwashing filter unit (51) is connected to the inlet end of the rainwater pipe network, and the outlet end of the automatic backwashing filter unit (51) is connected to the inlet end of the inlet pressure stabilizing unit (53). The fixed end of the ultrasonic self-cleaning unit (52) is fixedly connected to the frame assembly (1). The ultrasonic transmitting end of the ultrasonic self-cleaning unit (52) is set towards the detection end face of the multi-parameter water quality synchronous detection module (2). The controlled ends of the automatic backwashing filter unit (51) and the ultrasonic self-cleaning unit (52) are both electrically connected to the distributed linkage closed-loop control module (4).

3. The rainwater pipe network discharge detection device according to claim 2, characterized in that: The ultrasonic self-cleaning unit (52) includes a high-frequency ultrasonic generator submodule (521) and an ultrasonic transducer (522). The high-frequency ultrasonic generator submodule (521) is fixed in the waterproof chamber of the frame assembly (1). The signal output end of the high-frequency ultrasonic generator submodule (521) is electrically connected to the ultrasonic transducer (522). The ultrasonic transducer (522) is fixed on the inner wall of the cavity of the water inlet pressure stabilizing unit (53). The emitting surface of the ultrasonic transducer (522) is parallel to the detection end face of the multi-parameter water quality synchronous detection module (2).

4. The rainwater pipe network discharge detection device according to claim 1, characterized in that: The multi-parameter water quality synchronous detection module (2) includes a multi-parameter sensor group (21) and a synchronous acquisition and control sub-module (22). The detection ends of the multi-parameter sensor group (21) are all immersed in the outlet pressure stabilization detection area of ​​the inlet pressure stabilization unit (53). The synchronous acquisition and control sub-module (22) is fixed in the sealed waterproof detection chamber of the frame assembly (1). The multiple synchronous acquisition channels of the synchronous acquisition and control sub-module (22) are electrically connected to the signal terminals of each sensor in the multi-parameter sensor group (21). The signal output terminal of the synchronous acquisition and control sub-module (22) is electrically connected to the distributed linkage closed-loop management and control module (4).

5. The rainwater pipe network discharge detection device according to claim 4, characterized in that: The multi-parameter sensor group (21) includes a COD detection sensor (211), an ammonia nitrogen detection sensor (212), a suspended solids detection sensor (213), a pH detection sensor (214), and a hydrostatic level sensor (215). The detection end faces of the COD detection sensor (211), ammonia nitrogen detection sensor (212), suspended solids detection sensor (213), and pH detection sensor (214) are on the same horizontal plane, and the detection end of the hydrostatic level sensor (215) is fixed vertically in the outlet water pressure stabilization detection area.

6. The rainwater pipe network discharge detection device according to claim 1, characterized in that: The multi-sensor fusion flow adaptive calibration module (3) includes a multi-source flow detection unit (31), an operating condition adaptive calibration sub-module (32), and an automatic source tracing and sampling unit (33). The detection end of the multi-source flow detection unit (31) is correspondingly set at the flow section of the rainwater pipe network. The signal output end of the multi-source flow detection unit (31) is electrically connected to the signal input end of the operating condition adaptive calibration sub-module (32). The signal interaction end of the operating condition adaptive calibration sub-module (32) is bidirectionally electrically connected to the distributed linkage closed-loop control module (4). The sampling end of the automatic source tracing and sampling unit (33) is connected to the flow pipeline of the rainwater pipe network. The controlled end of the automatic source tracing and sampling unit (33) is electrically connected to the distributed linkage closed-loop control module (4).

7. A rainwater pipe network discharge detection device according to claim 6, characterized in that: The multi-source flow detection unit (31) includes an ultrasonic flow sensor (311), a radar level sensor (312), and a differential pressure sensor (313). The transducer of the ultrasonic flow sensor (311) is fixed on both sides of the pipe wall of the rainwater pipe network. The radar level sensor (312) is fixed on the top of the frame assembly (1) with its detection end facing the liquid surface of the rainwater pipe network. The two detection ends of the differential pressure sensor (313) are respectively connected to the high-pressure end and the low-pressure end of the flow passage of the rainwater pipe network. The signal ends of the ultrasonic flow sensor (311), the radar level sensor (312), and the differential pressure sensor (313) are all electrically connected to the working condition adaptive calibration submodule (32).

8. A rainwater pipe network discharge detection device according to claim 6, characterized in that: The automatic traceability sample retention unit (33) includes a sample retention control submodule (331), a quantitative sampling solenoid valve group (332), and a multi-channel sample retention storage unit (333). The signal input terminal of the sample retention control submodule (331) is electrically connected to the distributed linkage closed-loop management module (4), and the control output terminal of the sample retention control submodule (331) is electrically connected to the quantitative sampling solenoid valve group (332). The inlet of the quantitative sampling solenoid valve group (332) is connected to the flow pipeline of the rainwater pipe network, and the outlet of the quantitative sampling solenoid valve group (332) is connected to each sample bottle of the multi-channel sample retention storage unit (333) in a corresponding manner.

9. A rainwater pipe network discharge detection device according to claim 1, characterized in that: The distributed linkage closed-loop control module (4) includes an industrial edge computing gateway submodule (41), an industrial wireless communication submodule (42), and a pipeline node linkage communication submodule (43). The industrial edge computing gateway submodule (41) is fixed in the top protective compartment of the rack assembly (1). The signal input terminal of the industrial edge computing gateway submodule (41) is electrically connected to the signal output terminals of the synchronous acquisition control submodule (22) and the working condition adaptive calibration submodule (32), respectively. The industrial wireless communication submodule (42) is bidirectionally electrically connected to the industrial edge computing gateway submodule (41). The pipeline node linkage communication submodule (43) is bidirectionally connected to the interactive terminal of the industrial edge computing gateway submodule (41).

10. A rainwater pipe network discharge detection device according to claim 9, characterized in that: The distributed linkage closed-loop control module (4) also includes an abnormal emission closed-loop execution unit (44), which includes an electric shut-off valve control submodule (441) and an audible and visual alarm submodule (442). The signal input end of the electric shut-off valve control submodule (441) is electrically connected to the industrial edge computing gateway submodule (41), the output end of the electric shut-off valve control submodule (441) is electrically connected to the electric shut-off valve at the outlet of the rainwater pipe network, and the controlled end of the audible and visual alarm submodule (442) is electrically connected to the industrial edge computing gateway submodule (41).

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