A multi-parameter sensing device and overflow port intelligent monitoring system

Abstract

This invention discloses a multi-parameter sensing device and an intelligent overflow monitoring system. It comprises a housing, an eddy current stabilizer, hydrological parameter sensors, electrochemical parameter sensors, and optical parameter sensors. The system works by controlling the rising water flow from bottom to top, using the eddy current stabilizer to prevent eddies, ensuring the water flows smoothly into each layer for data acquisition. Hydrological data, least sensitive to flow interference, is collected first, while optical data, most sensitive to flow interference, is collected last after the water flow has passed through the hydrological and electrochemical layers, becoming more stable. This improves measurement accuracy. This invention simultaneously acquires multiple parameters, including hydrological, electrochemical, and optical data, within the housing. Compared to traditional single-element sensors with dispersed installations, it reduces wiring, improves detection efficiency, increases timeliness, reduces maintenance costs, and ensures measurement accuracy. It is particularly suitable for multi-parameter monitoring in complex environments.

Description

Technical Field

[0001] This utility model relates to the field of environmental monitoring technology, specifically a multi-parameter sensing device and an intelligent monitoring system for overflow outlets. Background Technology

[0002] Overflow points such as wastewater treatment plant discharge outlets, stormwater overflow outlets, and river spillways are critical nodes in water environment management. Overflows during heavy rains or high water levels can lead to the mixing of untreated wastewater and rainwater, causing pollution of rivers and lakes. Sudden changes in water volume can also cause wastewater treatment plants to operate beyond their capacity, affecting treatment efficiency. Furthermore, if overflow points in drainage networks are not controlled in a timely manner, it can lead to road flooding and inundation of underground facilities.

[0003] Currently, traditional technologies for overflow monitoring mainly rely on manual river patrols and single-parameter sensor IoT systems. Manual river patrols suffer from data lag, high labor costs, and inconsistent data. Most existing IoT systems only monitor a single parameter, such as water level or water quality. However, overflow pollution is often triggered by both exceeding water level limits and water quality deterioration. Therefore, the single dimension of monitoring data leads to insufficient accuracy in early warning.

[0004] In existing technologies, multiple single-parameter sensors are distributed to collect data on overflow flow. This approach is complex due to the complexity of installation and wiring; each sensor requires an independent connection, leading to a large wiring workload and potential problems such as wiring chaos and short circuits. Secondly, data acquisition and transmission efficiency is low. Distributed sensor installation means data must be transmitted through multiple nodes, making it susceptible to interference, resulting in data delays or loss, affecting the system's real-time performance and accuracy. Furthermore, maintenance costs are high; each sensor requires individual maintenance and calibration, and troubleshooting and repair are difficult, increasing maintenance workload and costs. Finally, poor inter-sensor coordination hinders efficient data integration and sharing, making it difficult to form a complete monitoring system and limiting the overall system performance and functional expansion. Utility Model Content

[0005] One of the technical problems to be solved by this utility model is to provide a multi-parameter sensing device.

[0006] To solve the above-mentioned technical problems, the technical solution adopted by this utility model is as follows:

[0007] like Figure 1As shown, a multi-parameter sensing device is characterized by comprising: a housing with an inlet at the bottom of the sidewall and an outlet at the top of the sidewall; the inner cavity of the housing is provided with an eddy current stabilizer, a hydrological layer, an electrochemical layer, and an optical layer from bottom to top, such that water flowing into the inner cavity of the housing from the inlet and flowing out from the outlet passes sequentially through the eddy current stabilizer, the hydrological layer, the electrochemical layer, and the optical layer; and, a hydrological parameter sensor for collecting hydrological data, an electrochemical parameter sensor for collecting electrochemical data, and an optical parameter sensor for collecting optical data are sequentially installed in the hydrological layer, the electrochemical layer, and the optical layer; the connecting wires of the hydrological parameter sensor, the electrochemical parameter sensor, and the optical parameter sensor are led out from a wire through-hole provided on the top surface of the housing.

[0008] Therefore, the usage and working principle of the multi-parameter sensing device in this utility model are as follows:

[0009] The water flow to be measured is introduced into the inlet of the shell, so that the water flow passes through the vortex stabilizer, the hydrological layer, the electrochemical layer and the optical layer in sequence and then flows out from the outlet of the shell. Thus, as the water flow passes through the hydrological layer, the electrochemical layer and the optical layer, the hydrological parameter sensor, the electrochemical parameter sensor and the optical parameter sensor respectively collect hydrological data, electrochemical data and optical data of the water flow to be measured.

[0010] The method involves raising the measured water flow from bottom to top to a high water level, and using a vortex stabilizer to prevent eddies. This allows the measured water flow to smoothly enter the hydrological, electrochemical, and optical layers for data acquisition. The hydrological data, which is least sensitive to water flow interference, is collected first, while the optical data, which is most sensitive to water flow interference, is collected last after the measured water flow has been buffered by the hydrological and electrochemical layers and become more stable. This improves the measurement accuracy of hydrological, electrochemical, and optical data.

[0011] In summary, this invention enables the simultaneous acquisition of multiple parameters, including hydrological, electrochemical, and optical data, within the housing. Compared to the traditional method of dispersing single-element sensors, it reduces wiring, improves detection efficiency, enhances timeliness, lowers maintenance costs, and ensures data measurement accuracy. It is particularly suitable for multi-parameter monitoring in complex environments.

[0012] The inlet of the vortex flow stabilizer can be directly connected to the water inlet of the housing, or a sealing ring can be installed between the vortex flow stabilizer and the housing to ensure that the water flowing into the inner cavity of the housing from the water inlet can only flow into the inlet of the vortex flow stabilizer. The housing is preferably made of stainless steel; the height of the housing is preferably set to 120mm, and the water inlet is preferably located 5mm to 10mm from the bottom surface of the housing, while the water outlet is located 20mm from the top surface of the housing.

[0013] Preferably, the inlet and outlet of the outer shell are diagonally distributed to form a uniform diagonal flow pattern of the measured water flow within the outer shell, thereby eliminating dead water zones, reducing turbulence, and further improving the measurement accuracy of hydrological, electrochemical, and optical data.

[0014] Preferably, the outlet of the outer shell is tilted downward to avoid residual water accumulation and the growth of microorganisms; wherein, the tilt angle is preferably 30°.

[0015] Preferably, the hydrological parameter sensors installed in the hydrological layer include at least one of the following sensors: an ultrasonic probe for measuring water level data, a flow meter for measuring flow velocity data, and a flow meter for measuring flow rate data.

[0016] Preferred: See Figure 1 and Figure 2 The electrochemical parameter sensors installed in the electrochemical layer include at least one of the following sensors: a pH sensor for measuring pH data, an ORP sensor for measuring ORP values, a conductivity sensor for measuring conductivity, and a dissolved oxygen sensor for measuring dissolved oxygen concentration. Furthermore, each sensor in the electrochemical layer shares a reference electrode located at the center. In cases where the electrochemical layer contains at least three sensors, each sensor is arranged in a ring array around the reference electrode to improve measurement sensitivity and further enhance measurement accuracy. The pH sensor and ORP sensor are closer to the reference electrode than the conductivity sensor and dissolved oxygen sensor to avoid interference and ensure the detection performance of the pH sensor and ORP sensor. However, the installation distance between the pH sensor and the reference electrode must be greater than 2 cm.

[0017] Preferably, the optical parameter sensor installed in the optical layer includes at least one of the following sensors: a turbidity sensor for measuring turbidity and an ultraviolet absorption probe for measuring chemical oxygen demand;

[0018] A sapphire window is installed in the optical layer;

[0019] When an ultraviolet absorption probe is provided, a UV-LED light source located above the sapphire window is installed in the inner cavity of the housing, so that the ultraviolet light emitted by the UV-LED light source is perpendicularly incident into the optical layer through the sapphire window, thereby ensuring that the ultraviolet light in the measured water flow incident into the optical layer is perpendicular, reducing scattering and reflection losses, and improving the measurement accuracy of chemical oxygen demand.

[0020] When a turbidity sensor is provided, a laser emitter is installed in the optical layer with the laser emission direction forming a 45° angle with the sapphire window. This ensures that the laser emitted by the laser emitter is reflected by the sapphire window and interacts with the water flow being measured in the optical layer to become scattered light. This ensures that the scattered light is uniformly irradiated into the water flow being measured and received by the turbidity sensor when performing turbidity detection.

[0021] As a preferred embodiment of this utility model: see Figure 1 and Figure 3 The multi-parameter sensing device is equipped with mounting chambers at the locations of the hydrological layer, electrochemical layer, and optical layer, and the mounting chambers are sealed to the outer shell by sealing rings, so that the water flow being measured can only flow through the inner cavities of the three mounting chambers from bottom to top after flowing out of the eddy current stabilizer; wherein, the sealing rings are preferably O-rings.

[0022] The structure of the installation chamber is as follows: the upper and lower ends of the installation chamber are open, the lower end of the installation chamber is formed by a frustum-shaped guide tube that is larger at the top and smaller at the bottom, the cone angle of the frustum-shaped guide tube is preferably 60°, the inner cavity of the installation chamber is fixed with a transition grid, and the inner cavity space between the frustum-shaped guide tube and the transition grid in the installation chamber is called the sensor installation cavity.

[0023] Furthermore, the sensor mounting cavities of the three mounting chambers serve as the hydrological layer, electrochemical layer, and optical layer for mounting the hydrological parameter sensor, electrochemical parameter sensor, and optical parameter sensor, respectively, so that the water flowing into the inner cavity of the shell from the inlet and flowing out from the outlet passes sequentially through the vortex stabilizer, the hydrological layer, the electrochemical layer, and the optical layer.

[0024] Thus, the water being measured flows into the sensor mounting cavity of the mounting chamber through the gradually expanding flow channel, i.e., the frustum-shaped guide pipe, and then flows out after passing through the transition grid. Both the frustum-shaped guide pipe and the transition grid can reduce the turbulence and eddies of the water flow, making the water flow more stable. Moreover, the three mounting chambers corresponding to the hydrological layer, electrochemical layer and optical layer are independent of each other, which can prevent bubble interference. Therefore, the measurement accuracy of hydrological data, electrochemical data and optical data can be further improved.

[0025] Preferably, a humidity sensor located above the transition grid is also installed in the inner cavity of the installation compartment to detect humidity and to trigger an alarm when the humidity is greater than 85% RH.

[0026] The second technical problem to be solved by this utility model is to provide an intelligent monitoring system for overflow outlets.

[0027] To solve the above-mentioned technical problems, the technical solution adopted by this utility model is as follows:

[0028] like Figures 1 to 4As shown, an intelligent overflow monitoring system includes: a detection unit, an edge computing control cabinet, a cloud platform, and an alarm terminal. The edge computing control cabinet can receive sensor data collected by the detection unit and send it to the cloud platform. The cloud platform can send an early warning signal to the alarm terminal. Preferably, the edge computing control cabinet, the cloud platform, and the alarm terminal interact with each other through the Industrial Internet of Things. The edge computing control cabinet is preferably equipped with a high-performance edge computing gateway, and the cloud platform preferably adopts a microservice architecture.

[0029] Its features are:

[0030] The detection unit includes the multi-parameter sensing device, the inlet of which is connected to the overflow port being measured, and the outlet of which is connected to the drain pipe; the output terminals of each sensor in the multi-parameter sensing device are electrically connected to the edge computing control cabinet.

[0031] Therefore, the overflow outlet intelligent monitoring system of this utility model adopts a multi-parameter sensing device to simultaneously and collaboratively monitor multiple hydrological, electrochemical, and optical parameters of the water flowing out of the overflow outlet. This breaks through the limitations of traditional single-index detection and provides a hardware foundation for the cloud platform to make early warning decisions on abnormal water quality fluctuations and water level anomalies by comprehensively considering the hydrological, water quality, and environmental characteristics of the overflow outlet. This also helps to improve the accuracy of early warning signals sent by the cloud platform to the alarm terminal.

[0032] Preferably, the detection unit further includes an NH3-N sensor for detecting NH3-N content and a TN sensor for detecting TN content, wherein the output terminals of the NH3-N sensor and the TN sensor are electrically connected to the edge computing control cabinet, respectively.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] First, the multi-parameter sensing device of this invention comprises a housing 1, an eddy current stabilizer 2, hydrological parameter sensors, electrochemical parameter sensors, and optical parameter sensors. The measured water flow rises from bottom to top to a high water level, and the eddy current stabilizer 2 prevents eddies, allowing the measured water flow to smoothly enter the hydrological layer 1c, electrochemical layer 1d, and optical layer 1e for data acquisition. Hydrological data, which is least sensitive to water flow interference, is acquired first, while optical data, which is most sensitive to water flow interference, is acquired last after the measured water flow has passed through the hydrological layer 1c and electrochemical layer 1d to become more stable. This improves the measurement accuracy of hydrological, electrochemical, and optical data. This invention simultaneously acquires multiple parameters, including hydrological, electrochemical, and optical data, within the housing 1. Compared to the traditional method of dispersing single-element sensors, this reduces wiring, improves detection efficiency, increases timeliness, reduces maintenance costs, and ensures data measurement accuracy. It is particularly suitable for multi-parameter monitoring in complex environments.

[0035] Secondly, this utility model is equipped with an installation chamber 3. The water to be measured flows into the sensor installation cavity 3a of the installation chamber 3 through the gradually expanding flow channel, namely the frustum-shaped guide pipe 3-1, and then flows out after passing through the transition grid 3-2. Both the frustum-shaped guide pipe 3-1 and the transition grid 3-2 can reduce the turbulence and eddies of the water flow, making the water flow more stable. Moreover, the three installation chambers 3 corresponding to the hydrological layer 1c, the electrochemical layer 1d, and the optical layer 1e are independent of each other, which can prevent bubble interference. Therefore, it can further improve the measurement accuracy of hydrological data, electrochemical data, and optical data.

[0036] Third, the overflow outlet intelligent monitoring system of this utility model adopts a multi-parameter sensing device to simultaneously and collaboratively monitor multiple hydrological, electrochemical, and optical parameters of the water flowed out of the overflow outlet. This breaks through the limitations of traditional single-index detection and provides a hardware foundation for the cloud platform to make early warning decisions on abnormal water quality fluctuations and water level anomalies by comprehensively considering the hydrological, water quality, and environmental characteristics of the overflow outlet. This helps to improve the accuracy of early warning signals sent by the cloud platform to the alarm terminal. Attached Figure Description

[0037] The present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments:

[0038] Figure 1 This is a schematic diagram of the structure of the multi-parameter sensing device in the utility model;

[0039] Figure 2 This is a planar schematic diagram of the electrochemical layer 1d in the utility model;

[0040] Figure 3 This is a schematic diagram of the installation compartment 3 in the utility model;

[0041] Figure 4This is a system block diagram of the intelligent overflow monitoring system of this utility model. Detailed Implementation

[0042] The present invention will now be described in detail with reference to the embodiments and accompanying drawings to help those skilled in the art better understand the inventive concept of the present invention. However, the scope of protection of the claims of the present invention is not limited to the following embodiments. For those skilled in the art, all other embodiments obtained without creative effort without departing from the inventive concept of the present invention are within the scope of protection of the present invention.

[0043] Example 1

[0044] like Figure 1 As shown, this utility model discloses a multi-parameter sensing device, including: a shell 1 with an inlet 1a at the bottom of the side wall and an outlet 1b at the top of the side wall; the inner cavity of the shell 1 is provided with an eddy current stabilizer 2, a hydrological layer 1c, an electrochemical layer 1d, and an optical layer 1e from bottom to top, so that the water flowing into the inner cavity of the shell 1 from the inlet 1a and flowing out from the outlet 1b passes through the eddy current stabilizer 2, the hydrological layer 1c, the electrochemical layer 1d, and the optical layer 1e in sequence; and, a hydrological parameter sensor for collecting hydrological data, an electrochemical parameter sensor for collecting electrochemical data, and an optical parameter sensor for collecting optical data are sequentially installed in the hydrological layer 1c, the electrochemical layer 1d, and the optical layer 1e; the connecting wires of the hydrological parameter sensor, the electrochemical parameter sensor, and the optical parameter sensor are led out from the wire through hole 1f provided on the top surface of the shell 1.

[0045] Therefore, the usage and working principle of the multi-parameter sensing device in this utility model are as follows:

[0046] The water flow to be measured is introduced into the inlet 1a of the outer shell 1, so that the water flow passes through the eddy current stabilizer 2, the hydrological layer 1c, the electrochemical layer 1d and the optical layer 1e in sequence and then flows out from the outlet 1b of the outer shell 1. Thus, when the water flow passes through the hydrological layer 1c, the electrochemical layer 1d and the optical layer 1e, the hydrological parameter sensor, the electrochemical parameter sensor and the optical parameter sensor respectively collect hydrological data, electrochemical data and optical data of the water flow to be measured.

[0047] The method involves the measured water flow rising from the bottom to the high water level, and using the eddy current stabilizer 2 to prevent eddies, so that the measured water flow smoothly enters the hydrological layer 1c, the electrochemical layer 1d, and the optical layer 1e for data acquisition. The hydrological data, which is least sensitive to water flow interference, is acquired first, while the optical data, which is most sensitive to water flow interference, is acquired last after the measured water flow has been buffered by the hydrological layer 1c and the electrochemical layer 1d to become more stable. This method can improve the measurement accuracy of hydrological, electrochemical, and optical data.

[0048] In summary, this utility model simultaneously acquires multiple parameters, including hydrological data, electrochemical data, and optical data, within the outer casing 1. Compared to the traditional method of dispersing single-element sensors, it reduces wiring, improves detection efficiency, enhances timeliness, reduces maintenance costs, and ensures data measurement accuracy. It is particularly suitable for multi-parameter monitoring in complex environments.

[0049] The inlet of the vortex flow stabilizer 2 can be directly connected to the inlet 1a of the outer casing 1, or a sealing ring can be installed between the vortex flow stabilizer 2 and the outer casing 1 to ensure that the water flowing into the inner cavity of the outer casing 1 from the inlet 1a can only flow into the inlet of the vortex flow stabilizer 2. The outer casing 1 is preferably made of stainless steel; the height of the outer casing 1 is preferably set to 120mm, and the inlet 1a is preferably located 5mm to 10mm from the bottom surface of the outer casing 1, and the outlet 1b is located 20mm from the top surface of the outer casing 1.

[0050] The above is the basic implementation method of this embodiment one, and further optimizations, improvements and limitations can be made based on this basic implementation method:

[0051] Preferably, the inlet 1a and outlet 1b of the outer shell 1 are diagonally distributed to form a uniform diagonal flow pattern of the measured water flow within the outer shell 1, thereby eliminating dead water zones, reducing turbulence, and further improving the measurement accuracy of hydrological, electrochemical, and optical data.

[0052] Preferably, the outlet 1b of the outer shell 1 is tilted downward to avoid residual water accumulation and the growth of microorganisms; wherein, the tilt angle is preferably 30°.

[0053] Preferably, the hydrological parameter sensors installed in the hydrological layer 1c include at least one of the following sensors: an ultrasonic probe for measuring water level data, a flow meter for measuring flow velocity data, and a flow meter for measuring flow rate data.

[0054] Preferred: See Figure 1 and Figure 2The electrochemical parameter sensors installed in the electrochemical layer 1d include at least one of the following sensors: a pH sensor 6 for measuring pH value data, an ORP sensor 7 for measuring ORP value, a conductivity sensor 8 for measuring conductivity, and a dissolved oxygen sensor 9 for measuring dissolved oxygen concentration. Furthermore, each sensor in the electrochemical layer 1d shares a reference electrode 10 located at the center. In cases where the electrochemical layer 1d contains at least three sensors, each sensor is arranged in a ring array around the reference electrode 10 to improve measurement sensitivity and further enhance measurement accuracy. The pH sensor 6 and ORP sensor 7 are closer to the reference electrode 10 than the conductivity sensor 8 and dissolved oxygen sensor 9 to avoid interference and ensure the detection effect of the pH sensor 6 and ORP sensor 7. However, the installation distance between the pH sensor 6 and ORP sensor 7 and the reference electrode 10 must be greater than 2 cm.

[0055] Preferably, the optical parameter sensor installed in the optical layer 1e includes at least one of the following sensors: a turbidity sensor for measuring turbidity and an ultraviolet absorption probe for measuring chemical oxygen demand;

[0056] A sapphire window is installed in the optical layer 1e;

[0057] When an ultraviolet absorption probe is provided, a UV-LED light source 11 located above the sapphire window is installed in the inner cavity of the outer shell 1, so that the ultraviolet light emitted by the UV-LED light source 11 is perpendicularly incident into the optical layer 1e through the sapphire window, thereby ensuring that the ultraviolet light in the measured water flow incident into the optical layer 1e is perpendicular, reducing scattering and reflection losses, and improving the measurement accuracy of chemical oxygen demand.

[0058] When a turbidity sensor is provided, a laser emitter is installed in the optical layer 1e with the laser emission direction forming a 45° angle with the sapphire window. This ensures that the laser emitted by the laser emitter is reflected by the sapphire window and interacts with the water flow being measured in the optical layer 1e to become scattered light. This ensures that the scattered light is uniformly irradiated into the water flow being measured and received by the turbidity sensor when performing turbidity detection.

[0059] Example 2

[0060] Based on the above embodiment one, this embodiment two also adopts the following preferred implementation method:

[0061] See Figure 1 and Figure 3The multi-parameter sensing device is equipped with mounting chambers 3 at the locations of the hydrological layer 1c, electrochemical layer 1d, and optical layer 1e. The mounting chambers 3 are sealed to the outer shell 1 by sealing rings 4, so that the water flow being measured can only flow from bottom to top through the inner cavities of the three mounting chambers 3 after flowing out of the eddy current stabilizer 2. The sealing rings 4 are preferably O-rings.

[0062] The structure of the installation chamber 3 is as follows: the upper and lower ends of the installation chamber 3 are open. The lower end of the installation chamber 3 is formed by a frustum-shaped guide tube 3-1 that is larger at the top and smaller at the bottom. The cone angle of the frustum-shaped guide tube 3-1 is preferably 60°. A transition grid 3-2 is fixed in the inner cavity of the installation chamber 3. The inner cavity space between the frustum-shaped guide tube 3-1 and the transition grid 3-2 in the installation chamber 3 is called the sensor installation cavity 3a.

[0063] Furthermore, the sensor mounting cavities 3a of the three mounting chambers 3 serve as the hydrological layer 1c, electrochemical layer 1d, and optical layer 1e for mounting the hydrological parameter sensor, electrochemical parameter sensor, and optical parameter sensor, respectively, so that the water flowing into the inner cavity of the outer shell 1 from the inlet 1a and flowing out from the outlet 1b passes sequentially through the vortex stabilizer 2, the hydrological layer 1c, the electrochemical layer 1d, and the optical layer 1e.

[0064] Thus, the water being measured flows into the sensor mounting cavity 3a of the mounting chamber 3 through the gradually expanding flow channel, namely the frustum-shaped guide pipe 3-1, and then flows out after passing through the transition grid 3-2. Both the frustum-shaped guide pipe 3-1 and the transition grid 3-2 can reduce the turbulence and eddies of the water flow, making the water flow more stable. Moreover, the three mounting chambers 3 corresponding to the hydrological layer 1c, the electrochemical layer 1d, and the optical layer 1e are independent of each other, which can prevent bubble interference. Therefore, the measurement accuracy of hydrological data, electrochemical data, and optical data can be further improved.

[0065] The above is the basic implementation method of this embodiment two, and further optimizations, improvements and limitations can be made based on this basic implementation method:

[0066] Preferably, a humidity sensor 5 is also installed in the inner cavity of the installation compartment 3, located above the transition grille 3-2, to detect humidity and to trigger an alarm when the humidity is greater than 85% RH.

[0067] Example 3

[0068] like Figures 1 to 4As shown, this utility model also discloses an intelligent overflow port monitoring system, including: a detection unit, an edge computing control cabinet, a cloud platform, and an alarm terminal. The edge computing control cabinet can receive sensor data collected by the detection unit and send it to the cloud platform. The cloud platform can send an early warning signal to the alarm terminal. Preferably, the edge computing control cabinet, the cloud platform, and the alarm terminal interact with each other through the Industrial Internet of Things. The edge computing control cabinet is preferably equipped with a high-performance edge computing gateway, and the cloud platform preferably adopts a microservice architecture.

[0069] The detection unit includes the multi-parameter sensing device described in Embodiment 1 or Embodiment 2. The inlet 1a of the multi-parameter sensing device is connected to the overflow port being measured, and the outlet 1b of the multi-parameter sensing device is connected to the drain pipe. The output terminals of each sensor in the multi-parameter sensing device are electrically connected to the edge computing control cabinet.

[0070] Therefore, the overflow outlet intelligent monitoring system of this utility model adopts a multi-parameter sensing device to simultaneously and collaboratively monitor multiple hydrological, electrochemical, and optical parameters of the water flowing out of the overflow outlet. This breaks through the limitations of traditional single-index detection and provides a hardware foundation for the cloud platform to make early warning decisions on abnormal water quality fluctuations and water level anomalies by comprehensively considering the hydrological, water quality, and environmental characteristics of the overflow outlet. This also helps to improve the accuracy of early warning signals sent by the cloud platform to the alarm terminal.

[0071] The above is the basic implementation method of this embodiment three, and further optimizations, improvements and limitations can be made based on this basic implementation method:

[0072] Preferably, the detection unit further includes an NH3-N sensor for detecting NH3-N content and a TN sensor for detecting TN content, wherein the output terminals of the NH3-N sensor and the TN sensor are electrically connected to the edge computing control cabinet, respectively.

[0073] This utility model is not limited to the specific embodiments described above. Based on the above content and in accordance with the common technical knowledge and conventional methods in the field, without departing from the basic technical idea of ​​this utility model, other equivalent modifications, substitutions or alterations can be made to this utility model, all of which fall within the protection scope of this utility model.

Claims

1. A multi-parameter sensing device, characterized in that, include: A shell (1) has an inlet (1a) at the bottom of the side wall and an outlet (1b) at the top of the side wall. The inner cavity of the shell (1) is provided with a vortex stabilizer (2), a hydrological layer (1c), an electrochemical layer (1d), and an optical layer (1e) from bottom to top, so that the water flowing into the inner cavity of the shell (1) from the inlet (1a) and flowing out from the outlet (1b) passes through the vortex stabilizer (2), the hydrological layer (1c), the electrochemical layer (1d), and the optical layer (1e) in sequence. Furthermore, a hydrological parameter sensor for collecting hydrological data, an electrochemical parameter sensor for collecting electrochemical data, and an optical parameter sensor for collecting optical data are installed in the hydrological layer (1c), the electrochemical layer (1d), and the optical layer (1e) in sequence. The connecting wires of the hydrological parameter sensor, the electrochemical parameter sensor, and the optical parameter sensor are led out from the wire through hole (1f) provided on the top surface of the shell (1).

2. The multi-parameter sensing device according to claim 1, characterized in that: The inlet (1a) and outlet (1b) of the outer shell (1) are arranged diagonally.

3. The multi-parameter sensing device according to claim 1, characterized in that: The outlet (1b) of the outer shell (1) is tilted downward.

4. The multi-parameter sensing device according to claim 1, characterized in that: The hydrological parameter sensors installed in the hydrological layer (1c) include at least one of the following sensors: an ultrasonic probe for measuring water level data, a flow meter for measuring flow velocity data, and a flow meter for measuring flow rate data.

5. The multi-parameter sensing device according to claim 1, characterized in that: The electrochemical parameter sensors installed in the electrochemical layer (1d) include at least one of the following sensors: a pH sensor (6) for measuring pH data, an ORP sensor (7) for measuring ORP values, a conductivity sensor (8) for measuring conductivity, and a dissolved oxygen sensor (9) for measuring dissolved oxygen concentration; and each sensor in the electrochemical layer (1d) shares a reference electrode (10) located at the center. In the case where the electrochemical layer (1d) contains at least three sensors, each sensor is arranged in a ring array around the reference electrode (10), and the pH sensor (6) and the ORP sensor (7) are closer to the reference electrode (10) than the conductivity sensor (8) and the dissolved oxygen sensor (9).

6. The multi-parameter sensing device according to claim 1, characterized in that: The optical parameter sensor installed in the optical layer (1e) includes at least one of the following sensors: a turbidity sensor for measuring turbidity and an ultraviolet absorption probe for measuring chemical oxygen demand. A sapphire window is installed in the optical layer (1e); When an ultraviolet absorption probe is provided, a UV-LED light source (11) located above the sapphire window is installed in the inner cavity of the housing (1), so that the ultraviolet light emitted by the UV-LED light source (11) is perpendicularly incident into the optical layer (1e) through the sapphire window; When a turbidity sensor is provided, a laser emitter is installed in the optical layer (1e) with the emitted laser direction forming a 45° angle with the sapphire window.

7. The multi-parameter sensing device according to any one of claims 1 to 6, characterized in that: The multi-parameter sensing device is equipped with a mounting compartment (3) at the locations of the hydrological layer (1c), electrochemical layer (1d) and optical layer (1e), and the mounting compartment (3) is sealed to the outer shell (1) by a sealing ring (4). The structure of the installation chamber (3) is as follows: the upper and lower ends of the installation chamber (3) are open, the lower end of the installation chamber (3) is formed by a frustum-shaped guide tube (3-1) that is larger at the top and smaller at the bottom, and a transition grid (3-2) is fixed in the inner cavity of the installation chamber (3). The inner cavity space between the frustum-shaped guide tube (3-1) and the transition grid (3-2) in the installation chamber (3) is called the sensor installation cavity (3a). Furthermore, the sensor mounting cavities (3a) of the three mounting chambers (3) serve as the hydrological layer (1c), electrochemical layer (1d), and optical layer (1e) for mounting the hydrological parameter sensor, electrochemical parameter sensor, and optical parameter sensor, respectively.

8. The multi-parameter sensing device according to claim 7, characterized in that: A humidity sensor (5) is also installed in the inner cavity of the installation compartment (3) above the transition grid (3-2).

9. An intelligent monitoring system for overflow outlets, comprising: The system includes a detection unit, an edge computing control cabinet, a cloud platform, and an alarm terminal. The edge computing control cabinet can receive sensor data collected by the detection unit and send it to the cloud platform. The cloud platform can send early warning signals to the alarm terminal. Its features are: The detection unit includes the multi-parameter sensing device according to any one of claims 1 to 8, wherein the inlet (1a) of the multi-parameter sensing device is connected to the overflow port to be measured, and the outlet (1b) of the multi-parameter sensing device is connected to the drain pipe; the output end of each sensor in the multi-parameter sensing device is electrically connected to the edge computing control cabinet.

10. The intelligent overflow monitoring system according to claim 9, characterized in that: The detection unit also includes an NH3-N sensor for detecting NH3-N content and a TN sensor for detecting TN content. The output terminals of the NH3-N sensor and the TN sensor are electrically connected to the edge computing control cabinet, respectively.

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