An adaptive water quality measurement method for ecological floating islands

Abstract

The present invention provides an adaptive water quality measurement method for ecological floating islands, belonging to the field of water quality measurement technology. This method involves constructing an adaptive water quality measurement component for the ecological floating island; dynamically adjusting the sampling frequency of each water quality sensor based on environmental perception; and, based on the response time constants of each water quality sensor, performing real-time correction of the currently measured water quality parameters to control the opening valves on the push-flow aeration pipeline, thereby reducing errors caused by delayed water quality sensor response. This method addresses the slow response speed and delayed measurement data of existing water quality detectors used on ecological floating islands in dynamic water environments, improving the real-time and accuracy of water quality monitoring, and thus enhancing the responsiveness of the ecological monitoring system of the ecological floating island.

Description

Technical Field

[0001] The present invention belongs to the technical field of water quality measurement, and in particular relates to an adaptive water quality measurement method for an ecological floating island. Background Art

[0002] Ecological floating islands, also known as artificial floating beds or ecological floating beds, are a type of artificial floating island. They address eutrophic water quality by utilizing eco-engineering principles to degrade COD, nitrogen, and phosphorus in the water. They utilize aquatic plants, employ soilless cultivation techniques, and polymer materials as carriers and substrates. By leveraging interspecies symbiosis and fully utilizing the spatial and nutrient niches of the water, they create a highly efficient artificial ecosystem that reduces the pollution load in the water.

[0003] On the other hand, as mentioned in the prior art solution in patent publication number "CN117105419B", it includes a water quality detector installed on the floating carrier of the ecological floating island. As an important component of the ecological floating island, the water quality detector is used to monitor key water quality parameters such as pH value, dissolved oxygen, and conductivity in real time. However, in a dynamic water environment, water quality parameters may change significantly in a short period of time. The sensor response time of the existing water quality detector is relatively long. Especially under low water temperature or high turbidity conditions, the response speed of the sensor is further reduced, causing the measurement data to lag behind the actual water quality status, affecting the real-time response capability of the ecological monitoring system of the ecological floating island. Summary of the Invention

[0004] In order to address the defects in the existing technology, the present invention provides an adaptive water quality measurement method for ecological floating islands, which solves the problems of slow response speed and delayed measurement data of existing water quality detectors used for ecological floating islands in dynamic water environments, improves the real-time and accuracy of water quality monitoring, and thus enhances the responsiveness of the ecological monitoring system of the ecological floating island.

[0005] The present invention utilizes the following technical solutions.

[0006] An adaptive water quality measurement method for an ecological floating island, comprising:

[0007] Step 1: Construct an adaptive water quality measurement component for the ecological floating island;

[0008] Step 2: Dynamically adjust the sampling frequency of each water quality sensor based on environmental perception;

[0009] Step 3: Combined with the response time constants of each water quality sensor, the currently measured water quality parameters are corrected in real time to control the opening valve on the plug flow aeration pipeline.

[0010] Furthermore, in step 1, the adaptive water quality measurement component for the ecological floating island includes:

[0011] The ecological monitoring system of the ecological floating island includes a controller connected to an open valve on a push flow aeration pipe provided on the bottom of the floating carrier of the ecological floating island;

[0012] A water quality detector includes a plurality of water quality sensors connected to a controller and provided on a floating carrier. The plurality of water quality sensors include a pH sensor, a dissolved oxygen sensor, and a conductivity sensor. The pH sensor, the dissolved oxygen sensor, and the conductivity sensor are used to collect the pH, dissolved oxygen, and conductivity water quality parameters of the water area where the floating carrier is located and transmit them to the controller;

[0013] The environmental sensing unit includes a temperature sensor, a flow rate sensor and a turbidity sensor connected to the controller and arranged on the floating carrier. The temperature sensor, the flow rate sensor and the turbidity sensor are respectively used to synchronously collect the water temperature, water flow rate and turbidity environmental parameters in the water area where the floating carrier is located, which affect the sensor response speed, and transmit them to the controller.

[0014] Furthermore, in step 1, the modules running on the controller include:

[0015] An adaptive sampling control module, which is used to dynamically adjust the sampling frequency and sampling period of each water quality sensor based on the water temperature, water flow velocity and turbidity environmental parameters collected by the environmental sensing unit in the water area where the floating carrier is located;

[0016] The data compensation algorithm module is used to combine the response time constants of various water quality sensors to perform real-time correction on the currently measured water quality parameters to control the opening valve on the plug-flow aeration pipeline.

[0017] Furthermore, in step 2, the following pH sensor response model is constructed for the pH sensor:

[0018] ;

[0019] in Indicates that the current water temperature in the waters where the floating carrier is located is The response time constant of the pH sensor is Indicates that the water temperature in the water area where the floating carrier is located is the set reference temperature The response time of the pH sensor is Indicates the activation energy consumption of the pH sensor, represents the ideal gas constant, is a natural constant;

[0020] According to the calculation, the current water temperature in the water area where the floating carrier is located is The response time constant of the pH sensor is , dynamically adjust the sampling frequency of the pH sensor to ensure the sampling period of the pH sensor .

[0021] Furthermore, in step 2, ;

[0022] in Indicates that the current water temperature in the waters where the floating carrier is located is and turbidity is The response time constant of the dissolved oxygen sensor is Indicates that the water temperature in the water area where the floating carrier is located is the set reference temperature And the response time of the dissolved oxygen sensor when the turbidity is 0, Indicates the activation energy consumption of the dissolved oxygen sensor, is a natural constant, Indicates the effect of turbidity on the response time of the dissolved oxygen sensor. A nonlinear index representing the effect of turbidity;

[0023] According to the calculation, the current water temperature in the water area where the floating carrier is located is The response time constant of the dissolved oxygen sensor is , dynamically adjust the sampling frequency of the dissolved oxygen sensor to ensure the sampling period of the dissolved oxygen sensor .

[0024] Furthermore, in step 2, the influence coefficient of turbidity on the response time of the dissolved oxygen sensor is and nonlinear index The calculation method includes:

[0025] Step 2-1: Calculate the effect of turbidity on the response time of the dissolved oxygen sensor and nonlinear index Calculation of experimental data collection;

[0026] Step 2-2: Based on the response time constant at each turbidity level Perform data modeling and nonlinear regression analysis.

[0027] Furthermore, in step 2-1, the experimental steps for collecting experimental data are as follows:

[0028] Step 2-1-1, control environmental parameters: at a constant water temperature Under certain conditions, the turbidity of water bodies is adjusted to different levels;

[0029] Step 2-1-2, Measure the response time constant: Measure the response time constant of the dissolved oxygen sensor under various turbidity levels , Indicates in Response time constant under different turbidity levels;

[0030] Step 2-1-3, normalization: normalize the response time constant under various turbidity levels Normalized to ratio relative to standard conditions: , Indicates the response time constant under standard conditions. The standard conditions are conditions.

[0031] Furthermore, in step 2-2, Transformed into ;

[0032] Then, at a fixed water temperature Under the conditions, is a constant, denoted as ,but It converts into ,in Indicates the turbidity levels;

[0033] Then to Taking the logarithm of both sides, we get ;

[0034] Will Approximately ;

[0035] but: ;

[0036] make , It is expressed as:

[0037] ;

[0038] right Taking the logarithm of both sides of the equation gives:

[0039] ;

[0040] make , , ;but for:

[0041] ;

[0042] Then, the least squares method is used to The environmental parameters and response time constants in the experimental data were used for linear regression to obtain the coefficient of influence of turbidity on the response time of the dissolved oxygen sensor. and nonlinear index .

[0043] Furthermore, in step 2, ;

[0044] in Indicates that the current water flow velocity in the water area where the floating carrier is located is The response time constant of the conductivity sensor is Indicates that the water flow velocity in the water area where the floating carrier is located is the set reference flow velocity The response time of the conductivity sensor is Indicates the activation energy consumption of the pH sensor, represents the ideal gas constant, is the influence index of water flow velocity on response time;

[0045] According to the calculation, the current water flow velocity in the water area where the floating carrier is located is The response time constant of the conductivity sensor is , dynamically adjust the sampling frequency of the conductivity sensor to ensure the sampling period of the conductivity sensor .

[0046] Furthermore, in step 3, a Kalman filter is applied to correct the water quality parameters currently measured by each water quality sensor in real time to obtain the corrected water quality parameters. The Kalman filter uses a dynamically adjusted process noise:

[0047] ;

[0048] in Indicates time The process noise, represents the process noise of the initial setting, Indicates the sampling period of the water quality sensor, Indicates time The response time constant of the water quality sensor.

[0049] Furthermore, in step 3, if the water quality parameter corrected in real time exceeds a preset water quality parameter threshold, the controller controls the opening valve on the plug-flow aeration pipeline to open.

[0050] The beneficial effects of the present invention are as follows:

[0051] This invention constructs an adaptive water quality measurement component for ecological floating islands; dynamically adjusts the sampling frequency of each water quality sensor based on environmental perception; and, based on the response time constants of each water quality sensor, performs real-time corrections on the currently measured water quality parameters to control the opening valves on the push-flow aeration pipeline, reducing errors caused by delayed water quality sensor responses. This solves the problems of slow response speed and delayed measurement data in dynamic water environments faced by existing water quality detectors used on ecological floating islands, improving the real-time and accuracy of water quality monitoring, thereby enhancing the responsiveness of the ecological monitoring system for the ecological floating island. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 It is a flow chart of the adaptive water quality measurement method for ecological floating islands in the present invention. DETAILED DESCRIPTION

[0053] To make the objectives, technical solutions, and advantages of the present invention more clear, the following will be combined with the accompanying drawings in the embodiments of the present invention to clearly and completely express the technical solutions of the present invention. The embodiments expressed in this application are only part of the embodiments of the present invention, not all of the embodiments. Based on the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without making creative work are all within the scope of protection of the present invention.

[0054] like Figure 1 As shown, an adaptive water quality measurement method for an ecological floating island includes:

[0055] Step 1: Construct an adaptive water quality measurement component for the ecological floating island;

[0056] In a preferred but non-limiting embodiment of the present invention, in step 1, the adaptive water quality measurement component for the ecological floating island includes:

[0057] The ecological monitoring system of the ecological floating island includes a controller connected to an open valve on a push flow aeration pipe provided on the bottom of the floating carrier of the ecological floating island;

[0058] A water quality detector includes a plurality of water quality sensors connected to a controller and provided on a floating carrier. The plurality of water quality sensors include a pH sensor, a dissolved oxygen sensor, and a conductivity sensor. The pH sensor, the dissolved oxygen sensor, and the conductivity sensor are used to collect water quality parameters such as pH, dissolved oxygen, and conductivity in the water area where the floating carrier is located and transmit them to the controller;

[0059] The environmental sensing unit includes a temperature sensor, a flow rate sensor and a turbidity sensor connected to the controller and arranged on the floating carrier. The temperature sensor, the flow rate sensor and the turbidity sensor are respectively used to synchronously collect the water temperature, water flow rate and turbidity environmental parameters in the water area where the floating carrier is located, which affect the sensor response speed, and transmit them to the controller.

[0060] In a preferred but non-limiting embodiment of the present invention, in step 1, the modules running on the controller include:

[0061] An adaptive sampling control module, which is used to dynamically adjust the sampling frequency and sampling period of each water quality sensor based on the water temperature, water flow velocity and turbidity environmental parameters collected by the environmental sensing unit in the water area where the floating carrier is located;

[0062] The data compensation algorithm module is used to combine the response time constants of various water quality sensors to perform real-time correction on the currently measured water quality parameters to control the opening valve on the push-flow aeration pipeline and reduce the error caused by the response delay of the water quality sensor.

[0063] Under low water temperature or high turbidity conditions, the controller dynamically adjusts the sampling frequency and introduces a compensation algorithm to make the measured water quality parameters closer to the actual water quality status, thereby improving the real-time response capability of the ecological monitoring system of the ecological floating island.

[0064] Step 2: Dynamically adjust the sampling frequency of each water quality sensor based on environmental perception;

[0065] In a preferred but non-limiting embodiment of the present invention, in step 2, in order to solve the problem of slow response speed of the water quality detector in the dynamic water environment of the floating carrier of the ecological floating island, the present invention proposes a dynamic sampling frequency adjustment mechanism based on environmental perception, temperature sensor, turbidity sensor and speed sensor, which collect environmental parameters in real time; according to the preset response model, the theoretical response time constant of each water quality sensor under the current water conditions is calculated.

[0066] The following pH sensor response model is constructed for the pH sensor:

[0067] Response time constant of pH sensor The current water temperature in the waters where the floating vehicle is located It is an exponential relationship, and the corresponding exponential relationship is used for modeling:

[0068] ;

[0069] in Indicates that the current water temperature in the waters where the floating carrier is located is (Unit: K) when the pH sensor response time constant (unit: seconds), Indicates that the water temperature in the water area where the floating carrier is located is the set reference temperature (e.g. 298.15 K, i.e. 25°C) the response time (in seconds) of the pH sensor, Indicates the activation energy consumption of the pH sensor (unit: J / mol), represents the ideal gas constant (8.314 J / mol·K), is a natural constant;

[0070] According to the calculation, the current water temperature in the water area where the floating carrier is located is (Unit: K) pH sensor response time constant , dynamically adjust the sampling frequency of the pH sensor to ensure the sampling period of the pH sensor , to satisfy the Nyquist sampling theorem and avoid aliasing of data collected by the pH sensor.

[0071] In a preferred but non-limiting embodiment of the present invention, in step 2, the response time constant of the dissolved oxygen sensor is Affected by temperature and turbidity, a multivariate exponential model was used:

[0072] ;

[0073] in Indicates that the current water temperature in the waters where the floating carrier is located is (unit: K) and turbidity is The response time constant of the dissolved oxygen sensor at (unit: seconds) Indicates that the water temperature in the water area where the floating carrier is located is the set reference temperature The response time (in seconds) of the dissolved oxygen sensor when the temperature is 298.15 K (i.e. 25°C) and the turbidity is 0, Indicates the activation energy consumption of the dissolved oxygen sensor (unit: J / mol), is a natural constant, Indicates the effect of turbidity on the response time of the dissolved oxygen sensor. A nonlinear index indicating the effect of turbidity (usually between 0.5 and 1.5);

[0074] According to the calculation, the current water temperature in the water area where the floating carrier is located is (Unit: K) The response time constant of the dissolved oxygen sensor , dynamically adjust the sampling frequency of the dissolved oxygen sensor to ensure the sampling period of the dissolved oxygen sensor , to satisfy the Nyquist sampling theorem and avoid aliasing of data collected by the dissolved oxygen sensor.

[0075] In a preferred but non-limiting embodiment of the present invention, in step 2, during the water quality measurement of the ecological floating island, the response time constant of the dissolved oxygen sensor is Affected by ambient turbidity The traditional method usually ignores the effect of turbidity on the response time, which leads to the hysteresis of the dissolved oxygen sensor output under high turbidity conditions, affecting the real-time and accuracy of water quality measurement. Therefore, an attempt will be made to introduce the influence coefficient of turbidity on the response time of the dissolved oxygen sensor. and nonlinear index to model the effect of turbidity on response time.

[0076] However, the existing technical solution calculates the influence coefficient of turbidity on the response time of dissolved oxygen sensor. and nonlinear index The following technical defects still exist:

[0077] Insufficient experimental data collection: It is not clear how to accurately measure the sensor's response time constant under different turbidity conditions;

[0078] The linearization error of the model is large: When the linear approximation was performed, the nonlinear effects under high turbidity conditions were ignored;

[0079] Lack of dynamic update mechanism: The coefficient of influence of turbidity on the response time of dissolved oxygen sensor is not dynamically updated according to real-time turbidity data during system operation. and nonlinear index method.

[0080] Therefore, it is necessary to provide a more accurate and dynamically updated coefficient of the effect of turbidity on the response time of the dissolved oxygen sensor. and nonlinear index The calculation method is used to improve the response accuracy and adaptability of water quality sensors under different turbidity conditions.

[0081] The corresponding core improvements are:

[0082] Introducing a multi-segment turbidity experimental design: Response time measurements were performed in multiple turbidity intervals (e.g., 0-10 NTU, 10-30 NTU, 30-50 NTU) to improve model fitting accuracy;

[0083] Use nonlinear least squares fitting: avoid linearization errors and directly and Perform linear regression;

[0084] Dynamic parameter update mechanism: Based on real-time turbidity data, the coefficient of influence of turbidity on the response time of dissolved oxygen sensor can be updated regularly and nonlinear index , improving model adaptability.

[0085] The corresponding technical effects are:

[0086] Improve the accuracy of turbidity impact modeling;

[0087] Reduce response time prediction errors under high turbidity conditions;

[0088] Supports adaptive adjustment in different water environments during water quality testing.

[0089] The effect of turbidity on the response time of dissolved oxygen sensors and nonlinear index The calculation method includes:

[0090] Step 2-1: Calculate the effect of turbidity on the response time of the dissolved oxygen sensor and nonlinear index Calculation of experimental data collection;

[0091] In a preferred but non-limiting embodiment of the present invention, in step 2-1, the influence coefficient of turbidity on the response time of the dissolved oxygen sensor is calculated. and nonlinear index , experimental measurements are required to obtain the response time of the dissolved oxygen sensor under different turbidity conditions. The experimental steps for experimental data collection are as follows:

[0092] Step 2-1-1, control environmental parameters: at a constant water temperature Under certain conditions, adjust the water turbidity to different levels (such as 0 NTU, 10 NTU, 20 NTU, 30 NTU, etc.);

[0093] Step 2-1-2, Measure the response time constant (response time): Measure the response time constant of the dissolved oxygen sensor under various turbidity level conditions using the standard method of existing technology. , Indicates in Response time constant under different turbidity levels;

[0094] Step 2-1-3, normalization: normalize the response time constant under various turbidity levels Normalized to standard conditions (water temperature is the set reference temperature and ) ratio: , Indicates the response time constant under standard conditions. The standard conditions are conditions.

[0095] Step 2-2: Based on the response time constant at each turbidity level Perform data modeling and nonlinear regression analysis.

[0096] In a preferred but non-limiting embodiment of the present invention, in step 2-2, Transformed into

[0097] ;

[0098] Then at a fixed water temperature Under the conditions, is a constant, denoted as ,but It converts into ,in Indicates the turbidity levels;

[0099] Then to Taking the logarithm of both sides, we get ;

[0100] generally Very small, can be Approximately

[0101] ;

[0102] but: ;

[0103] make , It is expressed as:

[0104] ;

[0105] right Taking the logarithm of both sides of the equation gives:

[0106] ;

[0107] make , , ;but for:

[0108] ;

[0109] Then, the least squares method is used to The environmental parameters and response time constants in the experimental data were used for linear regression to obtain the coefficient of influence of turbidity on the response time of the dissolved oxygen sensor. and nonlinear index .

[0110] Through the above method, the influence coefficient and nonlinear index of turbidity on sensor response time can be systematically calculated, and the applicability of the model can be verified based on experimental data, providing a theoretical basis for the real-time response optimization of water quality detectors in complex water environments.

[0111] In a preferred but non-limiting embodiment of the present invention, in step 2, the response time constant of the conductivity sensor is It is inversely proportional to the water velocity and is modeled using the corresponding power exponential relationship:

[0112] ;

[0113] in Indicates that the current water flow velocity in the water area where the floating carrier is located is (Unit: m / s) is the response time constant of the conductivity sensor (unit: seconds), Indicates that the water flow velocity in the water area where the floating carrier is located is the set reference flow velocity (e.g. 0.1 m / s) the response time of the conductivity sensor (in seconds), Indicates the activation energy consumption of the pH sensor (unit: J / mol), represents the ideal gas constant (8.314 J / mol·K), The water flow rate influences the response time (usually between 0.5 and 1.2). It can be obtained through specific experimental data, that is, it can be obtained under different water flow rates in the experiment. Removal The measured values ​​of the parameters other than The numerical value of .

[0114] According to the calculation, the current water flow velocity in the water area where the floating carrier is located is Response time constant of conductivity sensor at m / s , dynamically adjust the sampling frequency of the conductivity sensor to ensure the sampling period of the conductivity sensor , to satisfy the Nyquist sampling theorem and avoid aliasing of data collected by the conductivity sensor.

[0115] Through the method in step 2, dynamic calculation and compensation of the response time constant of the water quality sensor can be achieved, thereby improving the response speed and data accuracy of the water quality detector in a complex water environment.

[0116] Step 3: Combined with the response time constants of each water quality sensor, the currently measured water quality parameters are corrected in real time to control the opening valve on the plug-flow aeration pipeline and reduce the error caused by the response delay of the water quality sensor.

[0117] In a preferred but non-limiting embodiment of the present invention, in step 3, a Kalman filter is applied to perform real-time correction on the water quality parameters currently measured by each water quality sensor to obtain corrected water quality parameters. The Kalman filter uses dynamically adjusted process noise:

[0118] ;

[0119] in Indicates time The process noise, represents the process noise of the initial setting, Indicates the sampling period of the water quality sensor, Indicates time The response time constant of the water quality sensor.

[0120] The advantages of dynamically adjusted process noise are as follows:

[0121] This enables the Kalman filter to dynamically adapt to the changing response time characteristics of water quality sensors. Under sudden environmental changes (e.g., a sudden increase in water velocity from 0.2 m / s to 1.5 m / s), measurement error can be reduced by 42% (as verified by experimental data). In the case of sudden changes in environmental parameters (e.g., a jump in turbidity from 10 NTU to 100 NTU), response time is reduced to one-third that of traditional methods.

[0122] In a preferred but non-limiting embodiment of the present invention, in step 3, if the real-time corrected water quality parameter exceeds a preset water quality parameter threshold (the threshold can be set according to specific requirements), the controller controls the opening valve on the plug flow aeration pipe to open, thereby achieving the effect of purifying the water quality.

[0123] The beneficial effects of the present invention are as follows:

[0124] This invention constructs an adaptive water quality measurement component for ecological floating islands; dynamically adjusts the sampling frequency of each water quality sensor based on environmental perception; and, based on the response time constants of each water quality sensor, performs real-time corrections on the currently measured water quality parameters to control the opening valves on the push-flow aeration pipeline, reducing errors caused by delayed water quality sensor responses. This solves the problems of slow response speed and delayed measurement data in dynamic water environments faced by existing water quality detectors used on ecological floating islands, improving the real-time and accuracy of water quality monitoring, thereby enhancing the responsiveness of the ecological monitoring system for the ecological floating island.

[0125] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not deviate from the spirit and scope of the present invention should be covered within the protection space of the claims of the present invention.

Claims

1. An adaptive water quality measurement method for an ecological floating island, characterized in that: include: Step 1: Construct an adaptive water quality measurement component for the ecological floating island; Step 2: Dynamically adjust the sampling frequency of each water quality sensor based on environmental perception; Step 3: Combined with the response time constants of each water quality sensor, the currently measured water quality parameters are corrected in real time to control the opening valve on the plug-flow aeration pipeline; In step 2, a pH sensor response model is constructed for the pH sensor to ensure the sampling period of the pH sensor and the influence coefficient of turbidity on the response time of the dissolved oxygen sensor. and nonlinear index Calculate the current water temperature in the water area where the floating carrier is located as and turbidity is The response time constant of the dissolved oxygen sensor is used to ensure the sampling period of the dissolved oxygen sensor; In step 2, the coefficient of influence of turbidity on the response time of the dissolved oxygen sensor is and nonlinear index The calculation method includes: Step 2-1: Calculate the effect of turbidity on the response time of the dissolved oxygen sensor and nonlinear index Calculation of experimental data collection; Step 2-2: Based on the response time constant at each turbidity level Perform data modeling and nonlinear regression analysis; In step 2, the following pH sensor response model is constructed for the pH sensor: ； in Indicates that the current water temperature in the waters where the floating carrier is located is The response time constant of the pH sensor is Indicates that the water temperature in the water area where the floating carrier is located is the set reference temperature The response time of the pH sensor is Indicates the activation energy consumption of the pH sensor, represents the ideal gas constant, is a natural constant; According to the calculation, the current water temperature in the water area where the floating carrier is located is The response time constant of the pH sensor is , dynamically adjust the sampling frequency of the pH sensor to ensure the sampling period of the pH sensor ; In step 2, ; in Indicates that the current water temperature in the waters where the floating carrier is located is and turbidity is The response time constant of the dissolved oxygen sensor is Indicates that the water temperature in the water area where the floating carrier is located is the set reference temperature And the response time of the dissolved oxygen sensor when the turbidity is 0, Indicates the activation energy consumption of the dissolved oxygen sensor, is a natural constant, Indicates the effect of turbidity on the response time of the dissolved oxygen sensor. A nonlinear index representing the effect of turbidity; According to the calculation, the current water temperature in the water area where the floating carrier is located is The response time constant of the dissolved oxygen sensor is , dynamically adjust the sampling frequency of the dissolved oxygen sensor to ensure the sampling period of the dissolved oxygen sensor .

2. The adaptive water quality measurement method for an ecological floating island according to claim 1, characterized in that: In step 1, the adaptive water quality measurement components for the ecological floating island include: The ecological monitoring system of the ecological floating island includes a controller connected to an open valve on a push flow aeration pipe provided on the bottom of the floating carrier of the ecological floating island; A water quality detector includes a plurality of water quality sensors connected to a controller and provided on a floating carrier. The plurality of water quality sensors include a pH sensor, a dissolved oxygen sensor, and a conductivity sensor. The pH sensor, the dissolved oxygen sensor, and the conductivity sensor are used to collect the pH, dissolved oxygen, and conductivity water quality parameters of the water area where the floating carrier is located and transmit them to the controller; An environmental sensing unit includes a temperature sensor, a flow rate sensor, and a turbidity sensor connected to the controller and provided on the floating carrier. The temperature sensor, the flow rate sensor, and the turbidity sensor are respectively used to synchronously collect water temperature, water flow rate, and turbidity environmental parameters in the water area where the floating carrier is located that affect the sensor response speed and transmit them to the controller; In step 1, the modules running on the controller include: An adaptive sampling control module, which is used to dynamically adjust the sampling frequency and sampling period of each water quality sensor based on the water temperature, water flow velocity and turbidity environmental parameters collected by the environmental sensing unit in the water area where the floating carrier is located; The data compensation algorithm module is used to combine the response time constants of various water quality sensors to perform real-time correction on the currently measured water quality parameters to control the opening valve on the plug-flow aeration pipeline.

3. The adaptive water quality measurement method for ecological floating island according to claim 2, characterized in that: In step 2-1, the experimental steps for experimental data collection are as follows: Step 2-1-1, control environmental parameters: at a constant water temperature Under certain conditions, the turbidity of water bodies is adjusted to different levels; Step 2-1-2, Measure the response time constant: Measure the response time constant of the dissolved oxygen sensor under various turbidity levels , Indicates in Response time constant under different turbidity levels; Step 2-1-3, normalization: normalize the response time constant under various turbidity levels Normalized to ratio relative to standard conditions: , Indicates the response time constant under standard conditions. The standard conditions are conditions.

4. The adaptive water quality measurement method for an ecological floating island according to claim 3, characterized in that: In step 2-2, Transformed into ； Then, at a fixed water temperature Under the conditions, is a constant, denoted as ,but It converts into ,in Indicates the turbidity levels; Then to Taking the logarithm of both sides, we get ; Will Approximately ; but: ; make , It is expressed as: ； right Taking the logarithm of both sides of the equation gives: ； make , , ;but for: ； Then, the least squares method is used to The environmental parameters and response time constants in the experimental data were used for linear regression to obtain the coefficient of influence of turbidity on the response time of the dissolved oxygen sensor. and nonlinear index .

5. The adaptive water quality measurement method for ecological floating island according to claim 4, characterized in that: In step 2, ; in Indicates that the current water flow velocity in the water area where the floating carrier is located is The response time constant of the conductivity sensor is Indicates that the water flow velocity in the water area where the floating carrier is located is the set reference flow velocity The response time of the conductivity sensor is Indicates the activation energy consumption of the pH sensor, represents the ideal gas constant, is the influence index of water flow velocity on response time; According to the calculation, the current water flow velocity in the water area where the floating carrier is located is The response time constant of the conductivity sensor is , dynamically adjust the sampling frequency of the conductivity sensor to ensure the sampling period of the conductivity sensor .

6. The adaptive water quality measurement method for ecological floating island according to claim 5, characterized in that: In step 3, the Kalman filter is used to correct the water quality parameters currently measured by each water quality sensor in real time to obtain the corrected water quality parameters. The Kalman filter uses dynamically adjusted process noise: ； in Indicates time The process noise, represents the process noise of the initial setting, Indicates the sampling period of the water quality sensor, Indicates time The response time constant of the water quality sensor.

7. The adaptive water quality measurement method for ecological floating island according to claim 6, characterized in that: In step 3, if the water quality parameter corrected in real time exceeds a preset water quality parameter threshold, the controller controls the opening valve on the plug-flow aeration pipeline to open.

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