A water quality monitoring system for seaweed growth environment

Abstract

The present invention relates to the technical field of water quality monitoring, and in particular to a seaweed growth environment water quality monitoring system, comprising: a water area data acquisition module, used to collect water area historical monitoring data and water area monitoring data; a correlation analysis module, which constructs the correlation between water area pH and water area seaweed growth rate, and the correlation between water area carbon dioxide concentration and water area seaweed growth rate; a water quality monitoring module, which analyzes the water area pH state and the water area carbon dioxide concentration state; an early warning module, which warns users of abnormal water quality; a growth monitoring module, which is used to obtain the seaweed growth rate within the management period, and analyze the seaweed growth state according to the analysis results of the obtained seaweed growth rate and water area water quality abnormality; an environmental analysis module, which analyzes the water area environmental temperature state and the water area flow rate state. The present invention improves the efficiency of water quality monitoring.

Description

Technical Field

[0001] The invention relates to the technical field of water quality monitoring, and in particular to a water quality monitoring system for a seaweed growth environment. Background Art

[0002] As an important primary producer, seaweed is a key component of the marine ecosystem, and its growth status is often affected by a variety of water quality parameters in its habitat. In recent years, the issue of ocean acidification has received increasing attention from the scientific research and environmental protection community. Ocean acidification may be caused by frequent environmental pollution, greenhouse gas emissions, etc., which will cause the carbon dioxide content in seawater to rise and the pH value to drop, thereby affecting the normal growth of seaweed and the balance of the entire marine ecosystem. Oligotrophic seas are more sensitive to water quality because of their own lack of nutrients and more fragile ecosystems. Slight changes in water quality may have a significant impact on the growth of seaweed.

[0003] Chinese patent publication number CN118294612A discloses a method for determining whether marine water quality meets standards, which relates to the technical field of water quality monitoring. The method comprises the following steps: obtaining a marine range of water quality to be monitored, dividing the marine range based on division conditions to obtain multiple monitoring intervals, setting multiple corresponding monitoring items corresponding to the multiple monitoring intervals, matching the multiple monitoring items with corresponding monitoring information, registering multiple marine monitoring terminals based on multiple monitoring information, connecting the multiple marine monitoring terminals to corresponding cloud servers respectively, and setting preset conditions for the corresponding monitoring information based on the cloud server; training a convolutional neural network model based on historical data of the monitoring interval to obtain a water quality analysis model; collecting water quality information based on the corresponding monitoring interval of the marine monitoring terminal and transmitting it to the cloud server, and inputting the water quality information into the water quality analysis model to obtain a water quality analysis result; thus, it can be seen that in the scenario of ocean acidification, the scheme cannot achieve accurate monitoring of marine water quality, and there is a problem of low water quality monitoring efficiency. Summary of the invention

[0004] The object of the present invention is to provide a water quality monitoring system for a seaweed growth environment to solve at least one of the problems existing in the prior art.

[0005] To achieve the above object, the present invention adopts the following technical solutions:

[0006] Water area data collection module, used to collect water area historical monitoring data and water area monitoring data;

[0007] A correlation analysis module is used to construct the correlation between the pH value of the water area and the growth rate of seaweed in the water area, and the correlation between the carbon dioxide concentration of the water area and the growth rate of seaweed in the water area based on the collected historical monitoring data of the water area;

[0008] A water quality monitoring module is used to analyze the pH state of the water area according to the pH of the water area collected during the monitoring period, and is also used to analyze the carbon dioxide concentration state of the water area according to the carbon dioxide concentration of the water area collected during the monitoring period;

[0009] The early warning module is used to analyze the abnormality of water quality in the water area according to the correlation between the pH value of the water area and the growth rate of algae in the water area, the correlation between the carbon dioxide concentration of the water area and the growth rate of algae in the water area, and the analysis results of the pH state and the carbon dioxide concentration state of the water area during the monitoring period, and to issue an abnormal water quality warning to the user;

[0010] The growth monitoring module is used to obtain the seaweed growth rate during the management period, and analyze the seaweed growth status based on the analysis results of the acquired seaweed growth rate and water quality abnormalities.

[0011] Furthermore, the correlation analysis module is provided with a first analysis unit and a second analysis unit, and the first analysis unit is used to construct the correlation r1 between the pH of the water area and the growth rate of the seaweed in the water area according to the collected historical pH data of the water area and the historical seaweed growth rate data of the water area.

[0012] Furthermore, the second analysis unit is used to construct a correlation r2 between the carbon dioxide concentration in the water area and the seaweed growth rate in the water area according to the collected historical carbon dioxide concentration data in the water area and the historical seaweed growth rate data in the water area.

[0013] Furthermore, the water quality monitoring module is provided with a PH analysis unit and a carbon dioxide analysis unit. The PH analysis unit is used to compare the PH of the water area collected during the monitoring period with a preset PH threshold to analyze the PH state of the water area during the monitoring period. The PH state of the water area includes normal and abnormal. If the PH of the water area in the current monitoring period is abnormal, the PH abnormality coefficient is set to K1. If the PH of the water area in the current monitoring period is normal, the PH abnormality coefficient is set to K2.

[0014] Furthermore, the carbon dioxide analysis unit is used to compare the carbon dioxide concentration c0 of the water area collected during the monitoring period with the preset carbon dioxide concentration c1 to analyze the carbon dioxide concentration state of the water area during the monitoring period. The carbon dioxide concentration state of the water area includes normal and abnormal. If the carbon dioxide concentration in the current monitoring period is normal, the carbon dioxide concentration abnormality coefficient is set to C1. If the carbon dioxide concentration in the current monitoring period is abnormal, the carbon dioxide concentration abnormality coefficient is set to C2.

[0015] Furthermore, the early warning module analyzes the abnormality of water quality in the water area according to the correlation between the pH of the water area and the growth rate of algae in the water area, the correlation between the carbon dioxide concentration in the water area and the growth rate of algae in the water area, and the analysis results of the pH state and the carbon dioxide concentration state of the water area during the monitoring period, and issues an abnormal water quality early warning to the user, wherein:

[0016] If (|r1|+r1 2 ) / (1+|r1|+r1 2 )×PH anomaly coefficient+|r2| 3 / [|r2| 3 + (1-|r2|) 3 ]×CO2 concentration abnormal coefficient ≤u0, the warning module determines that the water quality of the water area in the current monitoring period is normal and does not issue a water quality abnormality warning to the user;

[0017] If (|r1|+r1 2 ) / (1+|r1|+r1 2 )×PH anomaly coefficient+|r2| 3 / [|r2| 3 + (1-|r2|) 3 ]×CO2 concentration anomaly coefficient>u0, the early warning module determines that the water quality of the water area in the current monitoring period is abnormal, and issues an abnormal water quality warning to the user.

[0018] Furthermore, the growth monitoring module includes a state analysis unit and a growth monitoring unit. The state analysis unit is used to analyze the water area state according to the analysis results of the abnormality of water quality in the water area in each monitoring period within the management period. The water area state includes normal and abnormal.

[0019] Furthermore, the growth monitoring unit is used to analyze the growth status of the seaweed according to the obtained analysis results of the seaweed growth rate and the water state, and the seaweed growth status includes normal and abnormal;

[0020] When the water state is normal and the algae growth rate is abnormal, the abnormal water quality warning process for the next management cycle is adjusted and the preset abnormal coefficient is adjusted to u1;

[0021] When the water state is abnormal and the seaweed growth rate is abnormal, the abnormal water quality warning process for the next management cycle is adjusted, and the preset abnormal coefficient is adjusted to u2.

[0022] Furthermore, the system also includes an environmental analysis module, which is used to analyze the water area environment temperature state according to the water area environment temperature obtained during the management period, and is also used to analyze the water area flow velocity state according to the water area average flow velocity obtained during the management period; the environmental analysis module includes a temperature analysis unit and a flow velocity analysis unit, the temperature analysis unit compares the water area environment temperature t0 collected during the management period with each preset temperature, and analyzes the water area environment temperature state according to the comparison result, the water area environment temperature state includes normal and abnormal, when g1 / G≤E, the temperature analysis unit determines that the water area environment temperature in the current management period is normal and does not make adjustments; when g1 / G>E, the temperature analysis unit determines that the water area environment temperature in the current management period is abnormal, and adjusts the preset growth rate to h1', g1 is the duration of the temperature abnormality in the management period, G is the duration of the management period, and E is the temperature abnormality ratio threshold.

[0023] Furthermore, the flow rate analysis unit is used to compare the average flow rate v0 of the water area collected during the management period with the preset flow rate v1 to analyze the flow rate status of the water area. The flow rate status of the water area includes normal and abnormal. When the water area flow rate is abnormal, the preset temperature abnormality proportion threshold is optimized to E1.

[0024] The beneficial effects of the present invention are as follows: by integrating water area data collection, correlation analysis, water quality monitoring, growth monitoring, environmental analysis and early warning functions, intelligent and systematic monitoring of the water quality of the seaweed growth environment is realized; by analyzing the correlation between water quality parameters such as pH value and carbon dioxide concentration in the water area and the seaweed growth rate, the system can judge water quality abnormalities and issue early warnings in time, thereby providing more accurate environmental regulation for seaweed growth. In addition, the system can dynamically adjust the early warning threshold and optimize the monitoring process in combination with environmental parameters such as temperature and flow rate during the management cycle, effectively preventing misjudgment caused by environmental fluctuations and improving monitoring efficiency and accuracy. The system greatly improves the intelligent level of water quality management and is particularly suitable for wide application in coping with complex ecological problems such as ocean acidification. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0026] Figure 1 Schematic diagram of the structure of the seaweed growth environment water quality monitoring system of this embodiment.

[0027] Figure 2 Schematic diagram of the structure of the correlation analysis module in this embodiment.

[0028] Figure 3 Schematic diagram of the structure of the water quality monitoring module of this embodiment.

[0029] Figure 4 Schematic diagram of the structure of the growth monitoring module of this embodiment.

[0030] Figure 5 Schematic diagram of the structure of the environmental analysis module of this embodiment. DETAILED DESCRIPTION

[0031] In order to more clearly illustrate the present invention, the present invention is further described below in conjunction with preferred embodiments and accompanying drawings. Similar components in the accompanying drawings are represented by the same reference numerals. It should be understood by those skilled in the art that the content specifically described below is illustrative rather than restrictive, and should not be used to limit the scope of protection of the present invention.

[0032] It should be noted that, although the terms first, second, third, etc. may be used to describe in the embodiments of the present application, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, without departing from the scope of the embodiments of the present application, the first may also be referred to as the second, and similarly, the second may also be referred to as the first.

[0033] See also Figure 1 As shown, it is a schematic diagram of the structure of the seaweed growth environment water quality monitoring system of this embodiment, the system includes:

[0034] The water area data collection module is used to collect water area historical monitoring data and water area monitoring data, wherein the water area historical monitoring data includes water area historical pH data, water area historical carbon dioxide concentration data and water area historical seaweed growth rate data; the water area monitoring data includes water area pH and water area carbon dioxide concentration; in this embodiment, the water area historical pH data, water area historical carbon dioxide concentration data and water area historical seaweed growth rate data are one-to-one corresponding; in this embodiment, no specific limitation is made on the collection method of water area historical monitoring data and water area monitoring data, and those skilled in the art can freely set it, as long as the collection requirements of water area historical monitoring data and water area monitoring data are met, wherein the water area historical monitoring data can be collected through interaction, the water area pH can be collected through a pH sensor, and the water area carbon dioxide concentration can be collected through a non-dispersive infrared sensor.

[0035] Please continue reading Figure 1 As shown, the system includes a correlation analysis module, which is connected to the water area data acquisition module and is used to construct the correlation between the pH of the water area and the growth rate of seaweed in the water area, and the correlation between the carbon dioxide concentration of the water area and the growth rate of seaweed in the water area according to the collected historical monitoring data of the water area.

[0036] See also Figure 2 As shown, the correlation analysis module includes a first analysis unit, which is used to construct the correlation r1 between the pH of the water area and the growth rate of the seaweed in the water area according to the collected historical pH data of the water area and the historical seaweed growth rate data of the water area, and set:

[0037] , xi is the historical PH data of the i-th water area, yi is the historical algae growth rate data of the i-th water area, I is the number of historical monitoring data of the water area, x 均 is the average value of historical PH data of the water area, ,y 均 is the average value of the historical algae growth rate data in the water area, By calculating the correlation between the pH value of the water area and the growth rate of seaweed, the effect of pH value on the growth of seaweed can be identified, so as to better understand how seaweed is affected by changes in environmental pH, and take measures to improve the water environment and improve the efficiency of water quality monitoring.

[0038] Please continue reading Figure 2 As shown, the correlation analysis module includes a second analysis unit, which is connected to the first analysis unit and is used to construct a correlation r2 between the carbon dioxide concentration in the water area and the seaweed growth rate in the water area according to the collected historical carbon dioxide concentration data in the water area and the historical seaweed growth rate data in the water area, and set:

[0039] , zi is the historical carbon dioxide concentration data of the i-th water area, z 均 is the average value of historical carbon dioxide concentration data in waters, ; By calculating the correlation between the carbon dioxide concentration in the water area and the growth rate of seaweed and constructing r2, it is helpful to accurately grasp the impact of carbon dioxide concentration on the aquatic ecosystem, thereby improving the efficiency of water quality monitoring.

[0040] Please continue reading Figure 1 As shown, the system includes a water quality monitoring module, which is connected to the water area data acquisition module, and is used to analyze the pH state of the water area according to the pH of the water area collected during the monitoring period, and is also used to analyze the carbon dioxide concentration state of the water area according to the carbon dioxide concentration of the water area collected during the monitoring period.

[0041] See also Figure 3 As shown, the water quality monitoring module includes a PH analysis unit, which is used to compare the water area PH collected during the monitoring period with a preset PH threshold to analyze the PH state of the water area during the monitoring period, so as to improve the accuracy of PH abnormality judgment, and construct a PH abnormality coefficient, wherein:

[0042] If p0≤p1, the PH analysis unit determines that the PH of the water area in the current monitoring period is abnormal, and sets the PH anomaly coefficient to K1, setting K1=ln[9×(p1-p0) / p1+1] / ln10; if p0>p1, the PH analysis unit determines that the PH of the water area in the current monitoring period is normal, and sets the PH anomaly coefficient to K2, setting K2=0, p0 is the PH of the water area collected during the monitoring period, and p1 is the preset PH threshold; by comparing the PH value within the monitoring period with the preset threshold to determine whether the PH is abnormal, and constructing the PH anomaly coefficient for detailed analysis, the water quality monitoring efficiency is improved.

[0043] Specifically, in this embodiment, the value of the preset PH threshold is not specifically limited, and those skilled in the art can freely set it as long as it meets the value requirement of the preset PH threshold. Among them, the best value of p1 is 7.5.

[0044] Specifically, the present embodiment does not impose any specific limitation on the setting of the monitoring period, and those skilled in the art may freely set it as long as the setting requirements of the monitoring period are met, wherein the monitoring period may be set to 30 minutes, 60 minutes, etc.

[0045] Please continue reading Figure 3 As shown, the water quality monitoring module includes a carbon dioxide analysis unit, which is connected to the PH analysis unit and is used to compare the carbon dioxide concentration c0 of the water area collected during the monitoring period with the preset carbon dioxide concentration c1 to analyze the carbon dioxide concentration state of the water area during the monitoring period, so as to improve the accuracy of the carbon dioxide concentration abnormality analysis, and construct a carbon dioxide abnormality coefficient, wherein:

[0046] If c0≤c1, the carbon dioxide analysis unit determines that the carbon dioxide concentration in the current monitoring period is normal, and sets the carbon dioxide concentration abnormality coefficient to C1, setting C1=0; if c0>c1, the carbon dioxide analysis unit determines that the carbon dioxide concentration in the current monitoring period is abnormal, and sets the carbon dioxide concentration abnormality coefficient to C2, setting:

[0047] C2=[e 4（c0-c1） / （c0+c1） -1] / [e 4 -1], e is the natural logarithm; by monitoring the fluctuation of carbon dioxide concentration in water areas, it is determined whether the carbon dioxide concentration exceeds the standard, so as to optimize the accuracy of water environment monitoring, reduce the potential risks caused by carbon dioxide anomalies, and improve the efficiency of water quality monitoring.

[0048] Specifically, in this embodiment, the value of the preset carbon dioxide concentration is not specifically limited, and those skilled in the art can freely set it as long as it meets the value requirement of the preset carbon dioxide concentration. Among them, the best value of c1 is 10 mg / L.

[0049] Please continue reading Figure 1 As shown, the system further includes an early warning module, which is connected to the correlation analysis module and the water quality monitoring module, and is used to analyze the abnormality of the water quality in the water area according to the analysis results of the correlation between the pH of the water area and the growth rate of the algae in the water area, the correlation between the carbon dioxide concentration in the water area and the growth rate of the algae in the water area, the pH state of the water area and the carbon dioxide concentration state of the water area during the monitoring period, so as to improve the accuracy of the abnormal water quality warning to the user, and provide the user with the abnormal water quality warning, wherein:

[0050] If (|r1|+r1 2 ) / (1+|r1|+r1 2 )×PH anomaly coefficient+|r2| 3 / [|r2| 3 + (1-|r2|) 3 ]×CO2 concentration abnormal coefficient ≤u0, the warning module determines that the water quality of the water area in the current monitoring period is normal and does not issue a water quality abnormality warning to the user;

[0051] If (|r1|+r1 2 ) / (1+|r1|+r1 2 )×PH anomaly coefficient+|r2| 3 / [|r2| 3 + (1-|r2|) 3 ]×carbon dioxide concentration anomaly coefficient>u0, the early warning module determines that the water quality in the water area during the current monitoring period is abnormal, and issues an abnormal water quality warning to the user, where u0 is the preset anomaly coefficient; by integrating and analyzing the correlation between various environmental abnormal signals and historical data, the current water quality status is determined and the user is notified in a timely manner, which significantly improves the intelligence and response speed of water body management, ensures the stability of the seaweed growth environment, and thus improves the efficiency of water quality monitoring.

[0052] Specifically, in this embodiment, the value of the preset abnormal coefficient is not specifically limited, and those skilled in the art can freely set it as long as it meets the value requirement of the preset abnormal coefficient. Among them, the best value of u0 is 0.17.

[0053] Please continue reading Figure 1 As shown, the system also includes a growth monitoring module, which is connected to the early warning module and is used to obtain the seaweed growth rate h0 within the management period, and analyze the seaweed growth status based on the obtained seaweed growth rate and the analysis results of the abnormality of water quality in the water area.

[0054] See also Figure 4As shown, the growth monitoring module includes a state analysis unit, which is used to analyze the state of the water area according to the analysis results of the abnormality of the water quality of the water area in each monitoring period within the management period, wherein:

[0055] If j0 / j≤α, the growth monitoring module determines that the water area status in the current management cycle is normal; if j0 / j>α, the growth monitoring module determines that the water area status in the current management cycle is abnormal, j0 is the number of abnormal water quality monitoring cycles in the water area within the management cycle, j is the number of monitoring cycles within the management cycle, and α is the preset abnormal ratio.

[0056] Please continue reading Figure 4 As shown, the growth monitoring module includes a growth monitoring unit, which is connected to the state analysis unit and is used to analyze the growth state of the seaweed according to the analysis results of the seaweed growth rate and the water state, wherein:

[0057] When the water area is in normal condition, if h0≤h1, the growth monitoring module determines that the seaweed growth rate in the current management period is abnormal, and adjusts the abnormal water quality warning process in the next management period, and adjusts the adjusted preset abnormal coefficient to u1, setting u1=u0×[1-γ×(h1-h0) / h1]; if h0>h1, the growth monitoring module determines that the seaweed growth rate in the current management period is normal;

[0058] When the water state is abnormal, if h0≤h1×exp[-(j0 / j-α)], the growth monitoring module determines that the seaweed growth rate in the current management period is abnormal, and adjusts the preset abnormal coefficient to u2, setting u2=u0×{1-γ×{h1×exp[-(j0 / j-α)]-h0} / [h1×exp[-(j0 / j-α)]}; if h0>h1×exp[-(j0 / j-α)], the growth monitoring module determines that the seaweed growth rate is normal, h1 is the preset growth rate, and γ is the preset adjustment ratio; the growth monitoring module analyzes the growth state of seaweed by combining the abnormal water quality warning and the growth rate within the management period, which helps to optimize the monitoring of the actual growth condition of seaweed, and at the same time optimizes the abnormal water quality warning process, thereby improving the water quality monitoring efficiency.

[0059] Specifically, in this embodiment, there is no specific limitation on the values ​​of the preset abnormal ratio, the preset growth rate and the preset adjustment ratio. Those skilled in the art can set them freely as long as the value requirements of the preset abnormal ratio, the preset growth rate and the preset adjustment ratio are met. Among them, the optimal value of h1 is 8g / m² / day, the optimal value of α is 0.1, and the optimal value of γ is 0.43.

[0060] Specifically, in this embodiment, there is no specific limitation on the method for obtaining the seaweed growth rate, and those skilled in the art can set it freely, as long as the requirements for obtaining the seaweed growth rate are met, wherein the seaweed growth rate can be obtained by the dry weight method; in this embodiment, there is no specific limitation on the setting of the management cycle, and those skilled in the art can set it freely, as long as the requirements for setting the management cycle are met, wherein the management cycle can be set to 15 days, 20 days, etc.

[0061] Please continue reading Figure 1 As shown, the system also includes an environmental analysis module, which is connected to the early warning analysis module and is used to analyze the water area environmental temperature state based on the water area environmental temperature obtained during the management period, and is also used to analyze the water area flow velocity state based on the water area average flow velocity obtained during the management period.

[0062] Specifically, in this embodiment, there is no specific limitation on the method for obtaining the water environment temperature and the average flow velocity of the water area. Technical personnel in this field can set it freely as long as the requirements for obtaining the water environment temperature and the average flow velocity of the water area are met. Among them, the water environment temperature can be obtained through a temperature sensor, and the water flow velocity can be obtained through a flow meter.

[0063] See also Figure 5 As shown, the environmental analysis module includes a temperature analysis unit, which is used to compare the water environment temperature t0 collected during the management period with each preset temperature, and analyze the water environment temperature state according to the comparison result, and adjust the analysis process of the abnormality of seaweed growth rate according to the analysis result to improve the accuracy of the abnormality analysis of seaweed growth rate, wherein: if t1≤t0≤t2, the temperature analysis unit determines that the water environment temperature is normal, if t0<t1 or t0>t2, the temperature analysis unit determines that the water environment temperature is abnormal, when g1 / G≤E, the temperature analysis unit determines that the water environment temperature of the current management period is normal and does not make adjustments; when g1 / G>E, the temperature analysis unit determines that the water environment temperature of the current management period is abnormal, and adjusts the preset growth rate to h1', setting h1'=h1×{1-exp[lg(g1 / GE)]};

[0064] Among them, t1 is the preset minimum temperature, t2 is the preset maximum temperature, g1 is the duration of temperature anomaly within the management cycle, G is the duration of the management cycle, and E is the threshold of temperature anomaly ratio; by analyzing the temperature anomaly of the water environment, the growth rate analysis process can be adjusted, and it can be ensured that temperature fluctuations do not have a significant impact on the detection accuracy of the system, and timely and accurate monitoring can be provided in waters where temperature is prone to fluctuate, thereby improving the efficiency of water quality monitoring.

[0065] Specifically, in this embodiment, there is no specific limitation on the values ​​of the preset temperature and the temperature anomaly ratio threshold value, and those skilled in the art can set them freely, as long as the value requirements of the preset temperature and the temperature anomaly ratio threshold value are met. Among them, the best value of t1 is 18°C, the best value of t2 is 28°C, and the best value of E is 0.2.

[0066] Please continue reading Figure 5 As shown, the environmental analysis module includes a flow rate analysis unit, which is connected to the temperature analysis unit, and is used to compare the average flow rate v0 of the water area collected during the management period with the preset flow rate v1 to analyze the flow rate state of the water area, and optimize the adjustment process of the analysis process of the abnormality of the seaweed growth rate according to the analysis results, wherein:

[0067] If v0≤v1, the flow velocity analysis unit determines that the flow velocity of the water area in the current management period is normal and no optimization is performed; if v0>v1, the flow velocity analysis unit determines that the flow velocity of the water area in the current management period is abnormal, and optimizes the preset temperature anomaly proportion threshold to E1, setting E1=E×[1-η×(v0-v1) / v1], where η is the flow velocity adjustment factor; reasonable flow velocity analysis and optimization adjustment are helpful to improve the accuracy of seaweed growth rate detection and prevent misjudgment due to water flow fluctuations, thereby improving the accuracy of water quality abnormality warning process analysis.

[0068] Specifically, in this embodiment, there is no specific limitation on the values ​​of the preset flow velocity and the flow velocity adjustment factor, and those skilled in the art can set them freely as long as the value requirements of the preset flow velocity and the flow velocity adjustment factor are met. Among them, the optimal value of v1 is 0.12 m / s, and the optimal value of η is 0.34.

[0069] Specifically, the seaweed growth environment water quality monitoring system described in this embodiment is applied to the monitoring of ocean acidification in oligotrophic sea areas.

[0070] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not limitations on the embodiments of the present invention. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is impossible to list all the embodiments here. All obvious changes or modifications derived from the technical solution of the present invention are still within the protection scope of the present invention.

Claims

1. A water quality monitoring system for seaweed growth environment, characterized in that: include, Water area data collection module, used to collect water area historical monitoring data and water area monitoring data; A correlation analysis module is used to construct the correlation r1 between the pH value of the water area and the growth rate of seaweed in the water area, and the correlation r2 between the carbon dioxide concentration of the water area and the growth rate of seaweed in the water area based on the collected historical monitoring data of the water area; A water quality monitoring module, used to analyze the pH state of the water area according to the pH of the water area collected during the monitoring period, and also used to analyze the carbon dioxide concentration state of the water area according to the carbon dioxide concentration of the water area collected during the monitoring period; The early warning module is used to analyze the abnormality of water quality in the water area according to the correlation r1 between the pH value of the water area and the growth rate of algae in the water area, the correlation r2 between the concentration of carbon dioxide in the water area and the growth rate of algae in the water area, and the analysis results of the pH state and the concentration of carbon dioxide in the water area during the monitoring period, and to issue an abnormal water quality warning to the user; Growth monitoring module, used to obtain the seaweed growth rate during the management period, and analyze the seaweed growth status based on the obtained seaweed growth rate and the analysis results of water quality abnormalities; The water quality monitoring module is provided with a pH analysis unit and a carbon dioxide analysis unit. The pH analysis unit is used to compare the pH of the water area collected during the monitoring period with the preset pH threshold to analyze the pH state of the water area during the monitoring period. The pH state of the water area includes normal and abnormal. If the pH of the water area in the current monitoring period is abnormal, the pH abnormality coefficient is set to K1, and K1 is set to ln[9×(p1-p0) / p1+1] / ln10; if the pH of the water area in the current monitoring period is normal, the pH abnormality coefficient is set to K2, and K2 is set to 0, p0 is the pH of the water area collected during the monitoring period, and p1 is the preset pH threshold; The carbon dioxide analysis unit is used to compare the carbon dioxide concentration c0 of the water area collected during the monitoring period with the preset carbon dioxide concentration c1 to analyze the carbon dioxide concentration state of the water area during the monitoring period. The carbon dioxide concentration state of the water area includes normal and abnormal. If the carbon dioxide concentration in the current monitoring period is normal, the carbon dioxide concentration abnormality coefficient is set to C1, and C1 is set to 0; if the carbon dioxide concentration in the current monitoring period is abnormal, the carbon dioxide concentration abnormality coefficient is set to C2, and C2 is set to [e 4（c0-c1） / （c0+c1） -1] / [e 4 -1], e is the natural logarithm; The early warning module analyzes the abnormality of water quality in the water area according to the correlation r1 between the pH of the water area and the growth rate of algae in the water area, the correlation r2 between the carbon dioxide concentration in the water area and the growth rate of algae in the water area, and the analysis results of the pH state and the carbon dioxide concentration state of the water area during the monitoring period, and issues an abnormal water quality warning to the user, wherein: If (|r1|+r1 2 ) / (1+|r1|+r1 2 )×pH anomaly coefficient+|r2| 3 / [|r2| 3 + (1-|r2|) 3 ]×CO2 concentration abnormal coefficient ≤u0, the warning module determines that the water quality of the water area in the current monitoring period is normal and does not issue a water quality abnormality warning to the user; If (|r1|+r1 2 ) / (1+|r1|+r1 2 )×pH anomaly coefficient+|r2| 3 / [|r2| 3 + (1-|r2|) 3 ]×CO2 concentration abnormal coefficient>u0, the early warning module determines that the water quality of the water area in the current monitoring period is abnormal, and issues an abnormal water quality warning to the user, where u0 is a preset abnormal coefficient; The growth monitoring module includes a state analysis unit and a growth monitoring unit. The state analysis unit is used to analyze the state of the water area according to the analysis results of the abnormality of the water quality of the water area in each monitoring period within the management period. The water area state includes normal and abnormal. If j0 / j≤α, the growth monitoring module determines that the water area state of the current management period is normal; if j0 / j>α, the growth monitoring module determines that the water area state of the current management period is abnormal, j0 is the number of abnormal water quality monitoring periods in the management period, j is the number of monitoring periods in the management period, and α is a preset abnormal ratio; The growth monitoring unit is used to analyze the growth status of the seaweed according to the analysis results of the seaweed growth rate and the water state, and the seaweed growth status includes normal and abnormal; When the water state is normal and the algae growth rate is abnormal, the abnormal water quality warning process for the next management cycle is adjusted, and the preset abnormal coefficient is adjusted to u1, and u1=u0×[1-γ×(h1-h0) / h1] is set; When the water state is abnormal and the seaweed growth rate is abnormal, the water quality abnormal warning process for the next management cycle is adjusted, and the preset abnormal coefficient is adjusted to u2, setting u2=u0×{1-γ×{h1×exp[-(j0 / j-α)]-h0} / {h1×exp[-(j0 / j-α)]}}, h0 is the seaweed growth rate, h1 is the preset growth rate, and γ is the preset adjustment ratio.

2. The seaweed growth environment water quality monitoring system according to claim 1, characterized in that: The correlation analysis module is provided with a first analysis unit and a second analysis unit, wherein the first analysis unit is used to construct a correlation r1 between water area pH and water area seaweed growth rate according to the collected historical water area pH data and the historical water area seaweed growth rate data.

3. The seaweed growth environment water quality monitoring system according to claim 2, characterized in that: The second analysis unit is used to construct a correlation r2 between the carbon dioxide concentration in the water area and the seaweed growth rate in the water area according to the collected historical carbon dioxide concentration data in the water area and the historical seaweed growth rate data in the water area.

4. The seaweed growth environment water quality monitoring system according to claim 3, characterized in that: The system also includes an environmental analysis module, which is used to analyze the water area environment temperature state according to the water area environment temperature obtained during the management period, and is also used to analyze the water area flow rate state according to the water area average flow rate obtained during the management period; the environmental analysis module includes a temperature analysis unit and a flow rate analysis unit, the temperature analysis unit compares the water area environment temperature t0 collected during the management period with each preset temperature, and analyzes the water area environment temperature state according to the comparison result, the water area environment temperature state includes normal and abnormal, when g1 / G≤E, the temperature analysis unit determines that the water area environment temperature in the current management period is normal and does not make adjustments; when g1 / G>E, the temperature analysis unit determines that the water area environment temperature in the current management period is abnormal, and adjusts the preset growth rate to h1', g1 is the duration of the temperature abnormality in the management period, G is the duration of the management period, and E is the temperature abnormality ratio threshold.

5. The seaweed growth environment water quality monitoring system according to claim 4 is characterized in that The flow rate analysis unit is used to compare the average flow rate v0 of the water area collected during the management period with the preset flow rate v1 to analyze the flow rate status of the water area. The flow rate status of the water area includes normal and abnormal. When the water area flow rate is abnormal, the preset temperature abnormality ratio threshold is set to E1.

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