An intelligent monitoring device and method for hydrological water resource assessment

Abstract

This invention relates to the field of hydrological and water resources monitoring technology, and discloses an intelligent monitoring device and method for hydrological and water resources assessment, comprising: a floating base, a sensor assembly, a lifting assembly, and a control terminal; the sensor assembly includes a water quality monitoring unit and a protective cover fitted over the outside of the water quality monitoring unit; the lifting assembly is disposed at the bottom of the floating base and includes a linear guide rail fixedly installed at the bottom of the floating base, a lifting slide mounted slidably on the linear guide rail, and a traction drive component for driving the lifting slide to move linearly up and down along the linear guide rail. The monitoring device of this invention intelligently identifies and locks onto the optimal water layer, reducing the adhesion and contamination of the sensor assembly by silt and algae in the water through proactive pollution avoidance. Furthermore, it eliminates the need for additional active cleaning components; it can be achieved simply by configuring corresponding control logic on the existing lifting mechanism, without increasing the complexity of the equipment structure or raising maintenance costs.

Description

Technical Field

[0001] This invention relates to the field of hydrological and water resources monitoring technology, and more specifically, to an intelligent monitoring device and method for hydrological and water resources assessment. Background Technology

[0002] Hydrological and water resources monitoring is a core foundational task for watershed water resources allocation and management, water ecological environment protection and restoration, river and lake control, and flood and drought emergency response. In-situ, continuous, and automated monitoring of river water quality is crucial for obtaining core data for assessment. With the advancement of smart water conservancy construction and the increasing demand for refined watershed water ecology management, online river water quality monitoring equipment has become the core of the watershed water quality monitoring network, widely used for routine monitoring of river sections, providing stable data support for hydrological and water resources assessment. During long-term field operation of river water quality monitoring equipment, sensors are prone to accumulating contaminants such as silt and algae after prolonged immersion. Excessive contaminant accumulation directly affects the measurement results. To address this issue, the industry currently employs active cleaning solutions, commonly including mechanical brush scraping, high-pressure water jet washing, and ultrasonic cleaning. While these solutions effectively remove contaminants from the sensor surface and maintain measurement accuracy for a certain period, they require additional auxiliary components to achieve active cleaning. This increases the structural complexity of the equipment, significantly raises the probability of failure, and increases the frequency and cost of maintenance. Consequently, these solutions have limitations in large-scale application in remote river sections. Summary of the Invention

[0003] The purpose of this invention is to provide an intelligent monitoring device and method for hydrological and water resources assessment to solve the aforementioned technical problems.

[0004] The present invention solves the above-mentioned technical problems through the following technical solutions: In a first aspect, the present invention provides an intelligent monitoring device for hydrological and water resources assessment, comprising: Floating base; The sensor assembly includes a water quality monitoring unit and a protective cover fitted over the outside of the water quality monitoring unit. The lifting assembly is located at the bottom of the floating base and includes a linear guide rail fixedly installed at the bottom of the floating base, a lifting slide mounted on the linear guide rail, and a traction drive for driving the lifting slide to move linearly up and down along the linear guide rail. The protective cover is detachably installed on the lifting slide. The control unit is electrically connected to the water quality monitoring unit and the traction drive unit, and configured to perform the following steps: The lifting slide is driven to move the water quality monitoring unit up and down along the linear guide rail, collect multiple water quality parameters of different water layers, and calculate the average value of each water quality parameter in the entire water layer; Based on the collected water quality parameters and their average values, the comprehensive score of each water layer is calculated using a pre-set evaluation model; the evaluation model is calculated based at least on the pollution avoidance index and representative index of the current water layer. Based on the overall score, the optimal monitoring water layer is selected from multiple water layers; The traction drive unit is controlled to drive the lifting slide to move the water quality monitoring unit to the optimal monitoring water layer.

[0005] Preferably, the pollution avoidance index is calculated based on the difference between the measured turbidity value of the current water layer and the average turbidity value of the entire water layer, and the difference between the measured chlorophyll a value of the current water layer and the average chlorophyll a value of the entire water layer; the representative index is calculated based on the deviation between the measured dissolved oxygen value of the current water layer and the average dissolved oxygen value of the entire water layer.

[0006] Preferably, the control terminal is further configured to: before calculating the comprehensive score, apply a pre-screening threshold to each water layer to remove invalid water layers. The pre-screening threshold includes a water depth safety threshold and an extreme pollution threshold. The water depth safety threshold is: the vertical distance of the current water layer from the water surface is greater than a first preset threshold, and the vertical distance from the bottom of the riverbed is greater than a second preset threshold. The extreme pollution threshold is: turbidity is less than a third preset threshold and chlorophyll a is less than a fourth preset threshold.

[0007] Preferably, the formula for calculating the comprehensive score is: In the formula, k1 and k2 are preset weight ratio coefficients, and k1 + k2 = 1, 0 <k1<1,0<k2<1; α and β are preset weighting coefficients for pollution avoidance index sub-items, and α + β = 1, 0 < α < 1, 0 < β < 1; Turb i The measured turbidity value of the i-th qualified water layer, Turbine 平 Chla is the arithmetic mean of the entire aquifer. i Chla represents the measured chlorophyll a value of the i-th qualified water layer. 平 The arithmetic mean of chlorophyll a across the entire aquifer is given by DO. i Let DO be the measured dissolved oxygen value of the i-th qualified water layer. 平 This represents the arithmetic mean of dissolved oxygen across the entire water column.

[0008] Preferably, the linear guide rail consists of two stainless steel round rods that are vertically fixed to the bottom of the floating base, and the lifting slide is slidably connected to the two stainless steel round rods on both sides.

[0009] Preferably, the traction drive includes a servo motor installed in the floating base, a winding wheel fixedly installed at the output end of the servo motor, and a traction rope wound on the winding wheel. One end of the traction rope is wound and fixedly fixed to the winding wheel, and the other end is fixedly connected to the top of the lifting slide.

[0010] Preferably, the lifting slide is provided with a counterweight, and a sealing ring is provided between the lifting slide and the stainless steel rod.

[0011] Preferably, the linear guide rail is provided with a passive cleaning assembly for cleaning the surface of the water quality monitoring unit. The passive cleaning assembly includes a bracket fixed between two stainless steel rods and a cleaning scraper fixed on the bracket.

[0012] Preferably, the protective cover is a cylindrical, hollow stainless steel cover, and the top of the stainless steel cover is connected to the lifting slide by multiple sets of bolts.

[0013] Secondly, the present invention also provides an intelligent monitoring method for hydrological and water resources assessment, applied to the aforementioned intelligent monitoring device for hydrological and water resources assessment, comprising the following steps: S100, full water layer scanning and data acquisition: drive the lifting slide to move the water quality monitoring unit up and down along the linear guide rail to scan the entire water layer and collect the water quality parameters of each water layer; S200, benchmark value calculation: calculate the average value of each water quality parameter in the entire aquifer; S300, Invalid water layer screening: Apply a pre-screening threshold to each water layer to remove water layers that do not meet the preset safety conditions and preset pollution conditions, and retain only qualified water layers. S400, Optimal water layer score calculation: Based on the measured values ​​and average values ​​of each qualified water layer, the comprehensive score of each qualified water layer is calculated through a preset evaluation model; the evaluation model calculates the comprehensive score based at least on the pollution avoidance index and representative index of the current water layer; S500, Optimal water layer locking: Based on the comprehensive score, the water layer with the highest score among all qualified water layers is locked as the optimal monitoring water layer; S600, Sliding and Pollution Avoidance: Controls the traction drive component to drive the lifting slide to move the water quality monitoring unit to the optimal monitoring water layer; S700, Daily Monitoring: Controls the water quality monitoring unit to collect water quality data at the optimal monitoring water layer according to a preset cycle.

[0014] The beneficial effects of this invention are as follows: The monitoring device of this invention can automatically select the optimal water layer for monitoring through the coordinated operation of sensor components, lifting components and control terminal. On the one hand, by intelligently identifying and locking the optimal water layer, it reduces the attachment and contamination of the sensor components by silt and algae in the water through active pollution avoidance. At the same time, there is no need to add additional active cleaning components. It can be achieved by configuring the corresponding control logic on the basis of the original lifting mechanism. It does not increase the complexity of the equipment structure, nor does it increase the operation and maintenance costs. It also avoids the potential failures caused by the cleaning mechanism, making the equipment operation more stable and reliable. On the other hand, compared with the traditional fixed monitoring point monitoring method, the present invention can adaptively select water layers with stronger water quality representativeness for continuous monitoring, effectively avoiding areas with drastic water quality fluctuations and strong interference, improving the accuracy and representativeness of hydrological and water quality monitoring data, and more realistically reflecting the overall water quality status of the water body, providing more reliable data support for hydrological and water resources assessment. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the structure of an intelligent monitoring device for hydrological and water resources assessment according to the present invention; Figure 2 This is a schematic diagram of the structure between the floating base and the lifting assembly in an intelligent monitoring device for hydrological and water resources assessment according to the present invention. Figure 3 This is a top view of a cleaning scraper in an intelligent monitoring device for hydrological and water resources assessment according to the present invention; Figure 4 This is a logic control block diagram of an intelligent monitoring device for hydrological and water resources assessment according to the present invention. Figure 5 This is a flowchart of an intelligent monitoring method for hydrological and water resources assessment according to the present invention.

[0016] In the diagram: 10, Floating base; 20, Sensor assembly; 201, Water quality monitoring unit; 202, Protective cover; 30, Lifting assembly; 301, Linear guide rail; 3011, Stainless steel round rod; 302, Lifting slide; 3021, Counterweight; 3022, Sealing ring; 303, Traction drive component; 3031, Servo motor; 3032, Rewinding reel; 3033, Traction rope; 40, Passive cleaning assembly; 401, Bracket; 402, Cleaning scraper. Detailed Implementation

[0017] The subject matter described herein will now be discussed with reference to exemplary embodiments. It should be understood that these embodiments are discussed only to enable those skilled in the art to better understand and implement the subject matter described herein, and changes may be made to the function and arrangement of the elements discussed without departing from the scope of this specification. Various processes or components may be omitted, substituted, or added as needed in the examples. Furthermore, features described in some examples may be combined in other examples.

[0018] Example 1 Firstly, please refer to the following: Figures 1 to 4 The present invention provides an intelligent monitoring device for hydrological and water resources assessment, which mainly includes a floating base 10, a sensor assembly 20, a lifting assembly 30, and a control terminal.

[0019] The floating base 10 adopts a closed corrosion-resistant polyethylene pontoon base, with a waterproof installation chamber inside, which is used to install relevant components in the lifting assembly 30.

[0020] The sensor assembly 20 includes a water quality monitoring unit 201 and a protective cover 202. The water quality monitoring unit 201 includes a turbidity sensor, a chlorophyll a sensor, a dissolved oxygen sensor, an ammonia nitrogen sensor, and a total phosphorus sensor. All sensors are industrial-grade in-situ water quality sensors, suitable for long-term operation in the field. The protective cover 202 is a cylindrical perforated stainless steel cover. The protective cover 202 is fitted on the outside of the water quality monitoring unit 201 to prevent large debris such as aquatic plants and plastic scraps from impacting or entangled in the water quality monitoring unit 201.

[0021] The lifting assembly 30 includes a linear guide rail 301, a lifting slide 302, and a traction drive component 303. The linear guide rail 301 consists of two stainless steel round rods 3011 vertically fixed to the bottom of the floating base 10, arranged parallel to each other. The lifting slide 302 is made of engineering plastic, with self-lubricating polytetrafluoroethylene (PTFE) sleeves built into both sides. The two stainless steel round rods 3011 pass through the corresponding sleeves, forming a sliding fit with the lifting slide 302. A fluororubber sealing ring 3022 is provided at the mating point between the lifting slide 302 and the stainless steel round rods 3011 to prevent sediment from entering the sliding surface. The bottom of the lifting slide 302 is detachably connected to the protective cover 202 via multiple sets of bolts, facilitating maintenance and replacement of the water quality monitoring unit 201.

[0022] The traction drive unit 303 includes a waterproof servo motor 3031, a winding reel 3032, and a stainless steel traction rope 3033. The winding reel 3032 is fixed to the output shaft of the servo motor 3031. The traction rope 3033 is a stainless steel wire rope, one end of which is wound and fixed to the winding reel 3032, and the other end is fixedly connected to the top of the lifting slide 302. The smooth lifting and lowering of the lifting slide 302 is achieved by the forward and reverse rotation of the servo motor 3031. In addition, a counterweight block 3021 (made of stainless steel) is fixed inside the lifting slide 302 to ensure that the traction rope 3033 is always taut. A sealing ring 3022 is provided between the lifting slide 302 and the stainless steel rod 3011, which not only prevents water from entering at the connection between the lifting slide 302 and the stainless steel rod 3011, but also removes impurities adsorbed on the surface of the stainless steel rod 3011, ensuring the normal lifting and lowering of the lifting slide 302.

[0023] To further clean the water quality monitoring unit 201, a simple passive cleaning component 40 is also provided in this embodiment. The passive cleaning component 40 includes a bracket 401 fixed between two stainless steel rods 3011 and a cleaning scraper 402 fixed on the bracket. The cleaning scraper 402 has the same number of circular scraping grooves as the water quality monitoring unit 201 sensor. Each scraping groove is equipped with a circular scraper made of high-resilience silicone material. During the process of the lifting slide 302 driving the protective cover 202 to rise and fall, the outer surface of the water quality monitoring unit 201 sensor can be scraped and cleaned to remove attached mud, sand, aquatic plants, and algae, and to prevent the mesh from being blocked.

[0024] The control unit is a parameter acquisition host installed on the ground. It is equipped with a low-power microcontroller as the core controller and has built-in data acquisition module, a computing module, a drive control module, and a communication module. It is electrically connected to the water quality monitoring unit 201 and the servo motor 3031, respectively. It supports industry-standard communication protocols and can communicate with the back-end management platform.

[0025] In this embodiment, the core control logic and operation rules of the control terminal are as follows: a. Setting pre-screening thresholds: The first and second preset thresholds for water depth safety are: water depth ≥ 0.25-0.35m from the water surface and ≥ 0.45-0.55m from the bottom of the riverbed.

[0026] The third and fourth preset thresholds for extreme pollution thresholds are: water turbidity ≤ 1000-1100 NTU and chlorophyll a ≤ 50-60 μg / L.

[0027] b. Control logic settings: (1) Drive the lifting slide seat 302 to move the water quality monitoring unit 201 up and down along the linear guide 301, collect multiple water quality parameters of different water layers, and calculate the average value of each water quality parameter in the entire water layer. Generally, a set of data is collected at intervals of 5-10 cm for each layer, and each set of data is the arithmetic average of 3-5 consecutive samplings.

[0028] (2) Based on the collected water quality parameters and the average value of the water quality parameters, calculate the comprehensive score of each water layer through a preset evaluation model. The calculation formula for the comprehensive score is: In the formula, k1 and k2 are preset weight ratio coefficients, and k1 + k2 = 1, 0 < k1 < 1, 0 < k2 < 1, α and β are preset weight ratio coefficients of the sub-items of the anti-pollution index, and α + β = 1, 0 < α < 1, 0 < β < 1, Turb i is the measured turbidity value of the i-th qualified water layer, Turb 平 is the arithmetic average of the entire water layer, Chla i is the measured chlorophyll a value of the i-th qualified water layer, Chla 平 is the arithmetic average of chlorophyll a in the entire water layer, DO i is the measured dissolved oxygen value of the i-th qualified water layer, DO 平 is the arithmetic average of dissolved oxygen in the entire water layer.

[0029] In this embodiment, it is default set that k1 = 0.7 and k2 = 0.3 to prioritize ensuring the core requirement of active anti-pollution while taking into account data representativeness. It is default set that α = 0.5 and β = 0.5 to equally consider the two major core pollution causes of sediment and algae; in the actual application process, α and β can be adaptively adjusted according to the actual usage scenario to improve the adaptability and monitoring accuracy of the monitoring device; for example: for the working condition of high sediment content during the flood season of the river, adjust the sub-item weight of the anti-pollution index to α = 0.7 and β = 0.3 to preferentially screen water layers with low turbidity and reduce the adhesion and wear of sediment on the sensor; for the working condition of serious eutrophication of the river in summer, adjust the sub-item weight of the anti-pollution index to α = 0.3 and β = 0.7 to preferentially screen water layers with low chlorophyll a content and reduce the adhesion of algal biofilms on the sensor.

[0030] (3) According to the comprehensive score, lock the optimal monitoring water layer from multiple water layers, and control the traction drive 303 to drive the lifting slide seat 302 to move the water quality monitoring unit 201 to this optimal monitoring water layer.

[0031] It should be noted that the above evaluation model is calculated based at least on the pollution avoidance index and the representative index of the current water layer. The pollution avoidance index is used to characterize the pollution risk of the current water layer, while the representative index is used to characterize the water quality of the current water layer relative to the representative level of the entire water layer. The pollution avoidance index is calculated based on the difference between the measured turbidity value of the current water layer and the average turbidity value of the entire water layer, and the difference between the measured chlorophyll a value of the current water layer and the average chlorophyll a value of the entire water layer. The representative index is calculated based on the deviation between the measured dissolved oxygen value of the current water layer and the average dissolved oxygen value of the entire water layer.

[0032] Example 2 Please refer to the following: Figure 5 This embodiment provides an intelligent monitoring method for hydrological and water resource assessment, based on the equipment described in Embodiment 1. The complete working process and steps are as follows: (1) Equipment initialization and deployment The equipment is deployed at a fixed point on the river monitoring section, and the floating base 10 is fixed by anchor chains to prevent the equipment from drifting with the water flow. After powering on, the equipment completes a self-test, and the servo motor 3031 drives the lifting slide 302 to reset to the center position of the guide rail, and the equipment enters normal operation mode.

[0033] (2) Routine calibration scan mode (automatically executed daily) A preset start-up time is established (this start-up time should meet the conditions of minimal river disturbance, stable water body, inactive algae due to lack of light, and no human interference from navigation throughout the day; the specific time needs to be adjusted according to the actual river conditions, but the generally accepted time period is after midnight). The equipment will automatically trigger a calibration scan based on this start-up time and perform the following steps: S100, full water layer scanning and data acquisition: The control terminal drives the servo motor 3031 to rotate forward, and drives the lifting slide 302 to move at a low speed from the upper limit of the guide rail to the lower limit through the traction rope 3033. According to the preset interval and sampling number, the turbidity, chlorophyll a and dissolved oxygen data of different water layers are continuously collected throughout the process.

[0034] S200, Baseline Value Calculation: After the scan is completed, the control unit calculates the average turbidity (Turb) of the entire water layer based on all data collected from the entire water layer. 平 , Chla average value of chlorophyll a 平 Average dissolved oxygen (DO) 平 This serves as a unified benchmark for subsequent evaluations.

[0035] S300, Invalid water layer screening: For each scanned water layer, a pre-screening threshold is applied for judgment.

[0036] In this implementation, the specific threshold values ​​are as follows: If the water layer is less than 0.3m from the water surface or less than 0.5m from the bottom of the riverbed, it is considered an invalid water layer and is directly removed. If the turbidity of the water layer is >1000 NTU, or chlorophyll a >50 μg / L, it is determined to be an invalid water layer and is directly removed.

[0037] Only qualified water layers that meet both thresholds are retained for subsequent scoring calculations.

[0038] S400, Optimal water layer score calculation: For each qualified water layer, substitute into the comprehensive score calculation formula to calculate the comprehensive score S of the corresponding water layer.

[0039] S500, Optimal water layer locking: Compare the comprehensive scores of all qualified water layers, and lock the water layer with the highest score as the optimal monitoring water layer.

[0040] S600, sliding to avoid contamination and passive cleaning: The control terminal drives the servo motor 3031 to move the lifting slide 302 to the position corresponding to the optimal water layer being monitored; during the sliding process, the water quality monitoring unit 201 contacts the corresponding annular scraper to complete the full-coverage scraping and cleaning of the outer surface, with zero additional power consumption and zero monitoring interruption.

[0041] S700, daily monitoring: The water quality monitoring unit 201 is fixed at the optimal monitoring water layer, collects water quality data according to the preset cycle, and transmits it back to the control terminal in real time, providing continuous and accurate basic data for hydrological and water resources assessment.

[0042] The embodiments of the present invention have been described above, but the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention, all of which are within the protection scope of the present invention.

Claims

1. An intelligent monitoring device for hydrological and water resources assessment, characterized in that, include: Floating base; The sensor assembly includes a water quality monitoring unit and a protective cover fitted over the outside of the water quality monitoring unit. The lifting assembly is located at the bottom of the floating base and includes a linear guide rail fixedly installed at the bottom of the floating base, a lifting slide mounted on the linear guide rail, and a traction drive for driving the lifting slide to move linearly up and down along the linear guide rail. The protective cover is detachably installed on the lifting slide. The control unit is electrically connected to the water quality monitoring unit and the traction drive unit, and configured to perform the following steps: The lifting slide is driven to move the water quality monitoring unit up and down along the linear guide rail, collect multiple water quality parameters of different water layers, and calculate the average value of each water quality parameter in the entire water layer; Based on the collected water quality parameters and their average values, the comprehensive score of each water layer is calculated using a pre-set evaluation model; the evaluation model is calculated based at least on the pollution avoidance index and representative index of the current water layer. Based on the overall score, the optimal monitoring water layer is selected from multiple water layers; The traction drive unit is controlled to drive the lifting slide to move the water quality monitoring unit to the optimal monitoring water layer.

2. The intelligent monitoring device for hydrological and water resources assessment according to claim 1, characterized in that, The pollution avoidance index is calculated based on the difference between the measured turbidity value of the current water layer and the average turbidity value of the entire water layer, as well as the difference between the measured chlorophyll a value of the current water layer and the average chlorophyll a value of the entire water layer; the representative index is calculated based on the deviation between the measured dissolved oxygen value of the current water layer and the average dissolved oxygen value of the entire water layer.

3. The intelligent monitoring device for hydrological and water resources assessment according to claim 2, characterized in that, The water depth safety threshold is: the vertical distance between the current water layer and the water surface is greater than a first preset threshold, and the vertical distance from the bottom of the riverbed is greater than a second preset threshold; the extreme pollution threshold is: turbidity is less than a third preset threshold and chlorophyll a is less than a fourth preset threshold.

4. The intelligent monitoring device for hydrological and water resources assessment according to claim 3, characterized in that, The formula for calculating the overall score is as follows: In the formula, k1 and k2 are preset weight ratio coefficients, and k1 + k2 = 1, 0 <k1<1,0<k2<1; α and β are preset weighting coefficients for pollution avoidance index sub-items, and α + β = 1, 0 < α < 1, 0 < β < 1; Turb i The measured turbidity value of the i-th qualified water layer, Turbine 平 Chla is the arithmetic mean of the entire aquifer. i Chla represents the measured chlorophyll a value of the i-th qualified water layer. 平 The arithmetic mean of chlorophyll a across the entire aquifer is given by DO. i Let DO be the measured dissolved oxygen value of the i-th qualified water layer. 平 This represents the arithmetic mean of dissolved oxygen across the entire water column.

5. The intelligent monitoring device for hydrological and water resources assessment according to claim 1, characterized in that, The linear guide rail consists of two stainless steel round rods that are vertically fixed to the bottom of the floating base, and the lifting slide is slidably connected to the two stainless steel round rods on both sides.

6. The intelligent monitoring device for hydrological and water resources assessment according to claim 5, characterized in that, The traction drive includes a servo motor installed in the floating base, a winding wheel fixedly installed at the output end of the servo motor, and a traction rope wound on the winding wheel. One end of the traction rope is wound and fixed on the winding wheel, and the other end is fixedly connected to the top of the lifting slide.

7. The intelligent monitoring device for hydrological and water resources assessment according to claim 6, characterized in that, The lifting slide is equipped with a counterweight, and a sealing ring is provided between the lifting slide and the stainless steel rod.

8. The intelligent monitoring device for hydrological and water resources assessment according to claim 7, characterized in that, The linear guide rail is equipped with a passive cleaning assembly for cleaning the surface of the water quality monitoring unit. The passive cleaning assembly includes a bracket fixed between two stainless steel rods and a cleaning scraper fixed on the bracket.

9. The intelligent monitoring device for hydrological and water resources assessment according to claim 1, characterized in that, The protective cover is a cylindrical, hollow stainless steel cover, and the top of the stainless steel cover is connected to the lifting slide by multiple sets of bolts.

10. An intelligent monitoring method for hydrological and water resources assessment, applied to the intelligent monitoring equipment for hydrological and water resources assessment as described in any one of claims 1-9, characterized in that, Includes the following steps: S100, full water layer scanning and data acquisition: drive the lifting slide to move the water quality monitoring unit up and down along the linear guide rail to scan the entire water layer and collect the water quality parameters of each water layer; S200, benchmark value calculation: calculate the average value of each water quality parameter in the entire aquifer; S300, Invalid water layer screening: Apply a pre-screening threshold to each water layer to remove water layers that do not meet the preset safety conditions and preset pollution conditions, and retain only qualified water layers. S400, Optimal water layer score calculation: Based on the measured values ​​and average values ​​of each qualified water layer, the comprehensive score of each qualified water layer is calculated through a preset evaluation model; the evaluation model calculates the comprehensive score based at least on the pollution avoidance index and representative index of the current water layer; S500, Optimal water layer locking: Based on the comprehensive score, the water layer with the highest score among all qualified water layers is locked as the optimal monitoring water layer; S600, Sliding and Pollution Avoidance: Controls the traction drive component to drive the lifting slide to move the water quality monitoring unit to the optimal monitoring water layer; S700, Daily Monitoring: Controls the water quality monitoring unit to collect water quality data at the optimal monitoring water layer according to a preset cycle.

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