Aquaculture monitoring method based on Internet of Things

Abstract

The invention relates to the field of water quality monitoring, in particular to an aquaculture monitoring method based on the Internet of Things. The method comprises the following steps: acquiring parameters of a saline-alkali soil culture pond, and predicting the dissolved oxygen concentration through a dissolved oxygen concentration prediction model; based on the predicted value of the dissolved oxygen concentration, adjusting parameters of the saline-alkali soil culture pond; and calculating a comprehensive water quality evaluation index based on the adjusted saline-alkali soil culture pond parameters, and evaluating the health state of the water quality of the saline-alkali soil culture pond. The problems that traditional water quality monitoring mostly depends on manual inspection and simple automatic equipment, and real-time and accurate water quality data cannot be provided are solved; a water quality adjusting system generally lacks comprehensive consideration on a plurality of water quality parameters, so that the adjusting measure is single and the effect is limited; the technical problems of low management efficiency of aquaculture, increase of manual intervention frequency and increase of aquaculture risks caused by the fact that the existing aquaculture management system lacks intelligent adjustment and automatic early warning functions and cannot realize dynamic adaptation and timely feedback of water quality changes in the prior art are solved.

Description

Technical Field

[0001] The present invention relates to the field of water quality monitoring, and in particular to an aquaculture monitoring method based on the Internet of Things. Background Art

[0002] In recent years, with the rapid development of aquaculture models such as rice-fish polyculture, water quality management technology has become one of the key factors to ensure the health and efficient operation of aquaculture. Traditional water quality monitoring methods usually rely on manual detection or a single water quality parameter sensor, resulting in limited monitoring range and accuracy. With the continuous advancement of Internet of Things technology, sensor technology has been significantly improved, and it can monitor multiple water quality parameters in real time, such as dissolved oxygen concentration, temperature, salinity and pH value, providing more comprehensive data support for water quality management. Especially in special environments such as saline-alkali aquaculture ponds, parameters such as salinity, temperature and dissolved oxygen concentration fluctuate greatly, and water quality regulation faces more complex challenges. Therefore, accurate monitoring and dynamic regulation of water quality have become crucial.

[0003] However, traditional water quality monitoring and regulation methods have problems with water quality monitoring in aquaculture: first, traditional water quality monitoring mostly relies on manual inspection and simple automated equipment, which cannot provide real-time and accurate water quality data, resulting in the failure to detect and deal with water quality changes in a timely manner; second, water quality regulation systems usually lack comprehensive consideration of multiple water quality parameters, resulting in single regulation measures with limited effects, and unable to accurately regulate water quality according to environmental changes; finally, the lack of intelligent regulation and automatic early warning functions fails to achieve dynamic adaptation and timely feedback to water quality changes, resulting in inefficient management of aquaculture and increased frequency of manual intervention and breeding risks. Summary of the invention

[0004] The present invention provides an aquaculture monitoring method based on the Internet of Things to solve the problems that traditional water quality monitoring mostly relies on manual inspection and simple automated equipment, cannot provide real-time and accurate water quality data, resulting in failure to timely discover and handle water quality changes; water quality regulation systems usually lack comprehensive consideration of multiple water quality parameters, resulting in single regulation measures with limited effects, and cannot accurately regulate water quality according to environmental changes; lack of intelligent regulation and automatic early warning functions, failure to achieve dynamic adaptation and timely feedback of water quality changes, resulting in low management efficiency of aquaculture, and increased frequency of manual intervention and technical problems of aquaculture risks.

[0005] The present invention provides an aquaculture monitoring method based on the Internet of Things, which specifically includes the following technical solutions: A method for monitoring aquaculture based on the Internet of Things, comprising the following steps: S1: Obtain the parameters of the saline-alkali land aquaculture pond, and predict the dissolved oxygen concentration through the dissolved oxygen concentration prediction model to obtain the predicted value of dissolved oxygen concentration; S2: Based on the predicted value of dissolved oxygen concentration, the parameters of the saline-alkali land aquaculture pond are adjusted to obtain the adjusted parameters of the saline-alkali land aquaculture pond; S3: Based on the adjusted saline-alkali land aquaculture pond parameters, calculate the comprehensive water quality evaluation index and evaluate the health status of the water quality in the saline-alkali land aquaculture pond.

[0006] Preferably, the S1 specifically includes: The parameters of the saline-alkali land aquaculture pond are denoised and smoothed, and stored and analyzed; the saline-alkali land aquaculture pond parameters include dissolved oxygen concentration, pH value, pond temperature and salinity.

[0007] Preferably, the S1 specifically includes: By analyzing historical data, a dissolved oxygen concentration prediction model is constructed to predict the dissolved oxygen concentration and obtain a predicted value of the dissolved oxygen concentration; the historical data includes historical dissolved oxygen concentration and historical water pool temperature.

[0008] Preferably, the S2 specifically includes: Based on the predicted value of dissolved oxygen concentration and combined with the current salinity, the salinity regulation of the aquaculture pond is optimized to obtain the salinity adjustment value; a dynamic adjustment method based on the salinity threshold is introduced, and the salinity is automatically adjusted based on the salinity adjustment value and combined with the preset minimum salinity threshold and maximum salinity threshold.

[0009] Preferably, the S2 specifically includes: Based on the current pool temperature and the difference between the predicted dissolved oxygen concentration and the actual dissolved oxygen concentration, a temperature adjustment value is calculated; based on the temperature adjustment value and in combination with a preset maximum temperature adjustment range, the pool temperature is adjusted by a temperature control device.

[0010] Preferably, the S2 specifically includes: Based on the predicted dissolved oxygen concentration value, salinity adjustment value and temperature adjustment value, the dissolved oxygen concentration adjustment value is calculated; the dissolved oxygen concentration adjustment formula is as follows: , in, yes The dissolved oxygen concentration adjustment value at the moment; yes The actual value of dissolved oxygen concentration at the moment; is the adjustment coefficient; yes Salinity adjustment value at the moment; yes Salinity value at the moment; yes Temperature adjustment value at the moment; yes The pool temperature at the moment; is the oxygen concentration adjustment factor; yes Predicted dissolved oxygen concentration at the time; Based on the dissolved oxygen concentration adjustment value and the preset maximum adjustment range, the dissolved oxygen concentration is adjusted through the oxygen supply equipment and the data is fed back in real time.

[0011] Preferably, the S3 specifically includes: Based on the adjusted saline-alkali land aquaculture pond parameters and introducing the weight coefficients of each parameter, the comprehensive water quality evaluation index is calculated; the comprehensive water quality evaluation index formula is as follows: , in, yes Comprehensive water quality evaluation index at all times; yes Dissolved oxygen concentration adjusted at all times; is the ideal dissolved oxygen concentration; yes Salinity value adjusted at all times; is the maximum critical value of salinity; yes The pool temperature value adjusted at all times; is the ideal pool temperature; and are the maximum and minimum limits of the pool temperature, respectively; yes pH value at the moment; is the ideal pH value; and are the maximum and minimum permissible ranges of pH value, respectively; , , , are the weight coefficients of each water quality parameter.

[0012] Preferably, the S3 specifically includes: Based on the comprehensive water quality evaluation index and the preset water quality evaluation threshold range, the health status of the water quality in saline-alkali land aquaculture ponds is evaluated; when the current comprehensive water quality evaluation index exceeds the water quality evaluation threshold range, the adjustment mechanism is automatically activated.

[0013] The beneficial effects of the technical solution of the present invention are: 1. The present invention uses a variety of sensors such as dissolved oxygen sensors to monitor the water quality parameters (such as dissolved oxygen concentration, pH value, temperature, salinity, etc.) of saline-alkali land aquaculture ponds in real time, which can continuously track changes in water quality, detect water quality abnormalities in a timely manner, and build a dissolved oxygen concentration prediction model. According to historical data and current pool conditions, the dissolved oxygen concentration at future times is accurately estimated, thereby providing reliable data support for subsequent water quality adjustments and improving the real-time and predictive capabilities of water quality monitoring.

[0014] 2. The present invention constructs a regulation model of salinity, temperature and dissolved oxygen concentration based on the predicted value of dissolved oxygen concentration, which can intelligently adjust the salinity, temperature and dissolved oxygen concentration of saline-alkali land breeding ponds to ensure the stability of water quality in the breeding ponds and avoid adverse effects on the growth of aquatic products due to fluctuations in salinity, temperature or dissolved oxygen concentration. This method not only improves the accuracy of water quality regulation, but also can automatically adjust water quality parameters to make the breeding environment more suitable for the growth of aquatic products, thereby improving breeding efficiency.

[0015] 3. The present invention comprehensively evaluates key water quality parameters such as dissolved oxygen concentration, salinity, temperature and pH value, calculates the comprehensive water quality evaluation index, and thus comprehensively monitors the health status of the water quality in saline-alkali land aquaculture ponds. It can automatically determine whether the water quality is within an appropriate range, and when the comprehensive water quality evaluation index exceeds the preset water quality evaluation threshold range, it automatically starts the adjustment mechanism or triggers an alarm to notify the aquaculture personnel to perform manual intervention, thereby realizing the automation and precision of water quality regulation, greatly improving the controllability of the aquaculture environment, reducing the frequency of manual intervention, and improving the management efficiency and sustainability of aquaculture. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a flow chart of an aquaculture monitoring method based on the Internet of Things described in the present invention. DETAILED DESCRIPTION

[0017] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the technical scheme in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is only a part of the embodiment of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0019] The following is a detailed description of a method for monitoring aquaculture based on the Internet of Things provided by the present invention in conjunction with the accompanying drawings.

[0020] See attached Figure 1 , which shows a flow chart of an aquaculture monitoring method based on the Internet of Things provided by an embodiment of the present invention, the method comprising the following steps: S1: Obtain the parameters of the saline-alkali land aquaculture pond, and predict the dissolved oxygen concentration through the dissolved oxygen concentration prediction model to obtain the predicted value of dissolved oxygen concentration; Multiple sensors are used to monitor the parameters of saline-alkali land aquaculture ponds (dissolved oxygen concentration, pH value, pool temperature, salinity) in real time to ensure the health and efficient operation of aquaculture. Specifically, the dissolved oxygen concentration in the water body is a key factor affecting aquaculture. Therefore, a dissolved oxygen sensor is used to monitor the dissolved oxygen concentration in the water in real time to ensure that aquaculture can get enough oxygen supply; pH ​​value is used to control the acidity and alkalinity of the water body, which will affect the health of aquaculture. A pH sensor is used to measure the pH value of the water body to avoid the water quality being too acidic or alkaline, which affects the growth of aquaculture species; the pool temperature directly affects the growth rate of aquaculture. Too high or too low temperature will affect the metabolic process and growth environment of aquaculture. A temperature sensor is used to monitor the pool temperature in real time to ensure that the pool temperature remains within an appropriate range; the salinity of saline-alkali waters has an important impact on the water quality of the aquaculture pond. A salinity sensor is used to detect the salinity value of the saline-alkali land aquaculture pond to meet the needs of aquaculture in a high-salt environment. The sensor transmits the collected saline-alkali land aquaculture pond parameters to the cloud or remote control platform in real time through a wireless sensor network (WSN) for subsequent processing.

[0021] On the cloud or remote control platform, the parameters of the saline-alkali land aquaculture pond are denoised and smoothed before being stored and used for subsequent analysis; the denoising algorithm uses a Kalman filter or a median filter algorithm to optimize the parameters of the saline-alkali land aquaculture pond to remove invalid noise and obtain the denoised parameters of the saline-alkali land aquaculture pond; the denoised parameters of the saline-alkali land aquaculture pond are smoothed by a sliding average algorithm to improve the stability and accuracy of the data; Next, by analyzing historical data (historical dissolved oxygen concentration and historical pool temperature), a dissolved oxygen concentration prediction model is constructed to predict the dissolved oxygen concentration and obtain the predicted dissolved oxygen concentration value. Assuming that the current dissolved oxygen concentration is related to the historical dissolved oxygen concentration, historical pool temperature and the predicted time difference factor, the dissolved oxygen concentration at the future moment is predicted by the following formula: , in, yes The predicted value of dissolved oxygen concentration at the moment is based on the predicted result of the actual value of dissolved oxygen concentration and the pool temperature; is a time variable; yes The actual value of dissolved oxygen concentration at the moment is measured by the dissolved oxygen sensor; yes The pool temperature value at the moment is obtained through the temperature sensor; Indicates the predicted time difference, which is set according to the specific implementation scenario; It is the relationship coefficient between the predicted value of dissolved oxygen concentration and the true value of dissolved oxygen concentration, which is used to describe the influence of historical dissolved oxygen concentration on the current prediction result in the dissolved oxygen concentration prediction model. It is the coefficient of the dissolved oxygen concentration prediction model, which is obtained by fitting historical data. The historical data is selected based on the expert experience method. The fitting process is well known to those skilled in the art and will not be described in detail here. It is the relationship coefficient between the predicted value of dissolved oxygen concentration and the water pool temperature. It is used to describe the influence of the historical water pool temperature on the current prediction result in the dissolved oxygen concentration prediction model. It is obtained by fitting the historical data. It is the relationship coefficient between the predicted dissolved oxygen concentration and time, which is used to capture the impact of time on the current prediction result and is obtained by fitting historical data; is the adjustment coefficient of the effect of time on the predicted value of dissolved oxygen concentration, obtained by fitting historical data; is the bias term, obtained by fitting historical data.

[0022] S2: Based on the predicted value of dissolved oxygen concentration, the parameters of the saline-alkali land aquaculture pond are adjusted to obtain the adjusted parameters of the saline-alkali land aquaculture pond; Based on the predicted value of dissolved oxygen concentration and combined with the current salinity, the salinity regulation of the aquaculture pond is optimized. In saline-alkali land aquaculture ponds, salinity control is a key factor in ensuring stable water quality. Therefore, after predicting the future dissolved oxygen concentration, the salinity in the pond needs to be adjusted; The salinity adjustment formula is as follows: , in, yes Salinity adjustment value at the moment; yes Salinity value at the moment; yes Predicted dissolved oxygen concentration at the time; and It is the adjustment coefficient of the salinity adjustment formula, which is used to control the sensitivity of salinity changes and is set according to expert experience; It is the critical concentration of salinity and is set according to expert experience. If the salinity adjustment value is low, the aquaculture system will automatically reduce the salinity, otherwise it will increase the salinity to ensure the stability of the water quality environment.

[0023] A dynamic adjustment method based on salinity threshold is introduced to automatically adjust the salinity according to the real-time salinity adjustment value, so as to ensure that the water quality in the saline-alkali land breeding pond is always kept within the most suitable range, and effectively guarantee the smooth progress of aquaculture; in the dynamic adjustment method based on salinity threshold, the target range of salinity is set according to the expert experience method, that is, the minimum salinity threshold and the maximum salinity threshold are set for the salinity; if the salinity adjustment value is lower than the minimum salinity threshold, it means that the salinity is too low, and the salinity needs to be automatically increased by the salinity adjustment device to restore it to a suitable level to avoid the adverse effect of low salinity on the growth of aquaculture species; on the contrary, if the salinity adjustment value exceeds the maximum salinity threshold, it means that the salinity is too high, and the salinity adjustment needs to be started, such as using a brine injection device or a water desalination device to reduce the salt in the water body, so as to avoid the problem of water quality concentration caused by excessive salinity and affect the health of aquaculture in the breeding pond.

[0024] Based on the current pool temperature, external environment temperature, the difference between the predicted dissolved oxygen concentration and the actual dissolved oxygen concentration, a temperature adjustment model is constructed, and the relationship between the pool temperature and the external environment (such as weather temperature) is considered to calculate the temperature adjustment value to reflect the required temperature adjustment amount; The temperature regulation formula is: , in, yes Temperature adjustment value at the moment; yes The pool temperature at the moment; yes The external environment at the moment, i.e. the weather temperature value; The temperature adjustment step size indicates the amplitude of temperature adjustment and is set according to the expert experience method; is the temperature adjustment coefficient, which is used to control the influence of the difference between the pool temperature and the external temperature on the temperature adjustment, and is set according to the expert experience method; is the dissolved oxygen adjustment coefficient, which is used to control the influence of the dissolved oxygen concentration difference (i.e. the difference between the predicted dissolved oxygen concentration and the actual value) on the temperature adjustment, and is set according to the expert experience method; yes Predicted dissolved oxygen concentration at the time; yes The actual value of dissolved oxygen concentration at the moment; Based on the temperature adjustment value, the pool is heated or cooled through temperature control equipment (such as heaters, cooling equipment, automatic regulating valves, etc.) so as to flexibly adapt to temperature fluctuations under different environmental conditions, ensure that the pool temperature is always maintained within an appropriate range, and ensure the stability of the aquaculture environment. In this process, in order to avoid excessive fluctuations in the pool temperature, the maximum temperature adjustment range is set, and the temperature change range of each adjustment cannot exceed the preset maximum temperature adjustment range to ensure that the pool temperature changes remain stable and will not fluctuate sharply, avoiding adverse effects on the pool environment. The setting of the maximum temperature adjustment range is adjusted according to the actual volume of the pool, the temperature change range of the external environment, and the needs of the aquaculture species.

[0025] Dissolved oxygen concentration is one of the key factors affecting the growth of aquaculture. The regulation of dissolved oxygen concentration needs to be optimized based on the predicted value of dissolved oxygen concentration and the actual value of dissolved oxygen concentration. The dissolved oxygen concentration regulation formula is as follows: , in, yes The dissolved oxygen concentration adjustment value at the moment; yes The actual value of dissolved oxygen concentration at the moment; is the adjustment coefficient, which is used to control the influence of salinity and pool temperature on dissolved oxygen concentration and is set according to expert experience; yes Salinity adjustment value at the moment; yes Salinity value at the moment; yes Temperature adjustment value at the moment; yes The pool temperature at the moment; is the oxygen concentration adjustment factor, which is used to control the difference in dissolved oxygen concentration The degree of influence on oxygen concentration regulation is set according to expert experience; yes Predicted dissolved oxygen concentration at the time; Compare the dissolved oxygen concentration adjustment value with the current dissolved oxygen concentration in the pool. If the dissolved oxygen concentration adjustment value is higher, it means that the oxygen supply needs to be increased; if the dissolved oxygen concentration adjustment value is lower, the oxygen input needs to be reduced. Make adjustments through oxygen supply equipment, such as oxygen pumps or aeration devices. Each time you make adjustments, set the maximum adjustment range to avoid drastic fluctuations to ensure that the oxygen concentration changes smoothly. After adjustment, the actual dissolved oxygen concentration is continuously monitored through the dissolved oxygen sensor, and the data is fed back in real time to ensure that the dissolved oxygen concentration in the pool is always maintained in the optimal range to ensure the healthy growth of aquaculture.

[0026] S3: Based on the adjusted saline-alkali land aquaculture pond parameters, calculate the comprehensive water quality evaluation index and evaluate the health status of the water quality in the saline-alkali land aquaculture pond.

[0027] Based on the adjusted saline-alkali land aquaculture pond parameters (dissolved oxygen concentration, salinity, temperature and pH value), the comprehensive water quality evaluation index is calculated. By comprehensively considering the changes in key water quality parameters such as dissolved oxygen concentration, salinity, temperature and pH value, the health status of saline-alkali land aquaculture pond water quality is comprehensively evaluated, providing quantitative analysis of the overall health status of water quality, helping the aquaculture system to achieve precise water quality management and optimization; The comprehensive water quality evaluation index formula is as follows: , in, yes The comprehensive water quality evaluation index at all times reflects the current health status of water quality; yes The dissolved oxygen concentration adjusted at all times is obtained through the dissolved oxygen sensor; is the ideal dissolved oxygen concentration, set based on the needs of aquaculture species using expert rule of thumb; yes The salinity value adjusted at all times is obtained through the salinity sensor; is the maximum critical value of salinity, which is set based on the tolerance of aquaculture species to salinity using expert experience; yes The pool temperature value adjusted at all times is obtained through the temperature sensor; is the ideal tank temperature value, which is set based on the needs of aquaculture species using expert experience; and They are the maximum and minimum limits of the pool temperature, which are used to ensure that the water temperature is controlled within an appropriate range and are set according to expert experience; yes The pH value at the moment is obtained through the pH sensor; is the ideal pH value, set based on the needs of aquaculture species using expert rule of thumb; and are the maximum and minimum permissible ranges of pH values, respectively, which are set according to the expert experience method; , , , They are the weight coefficients of various water quality parameters, reflecting the relative importance of dissolved oxygen concentration, salinity, temperature and pH value to water quality health. They are adjusted and set according to the requirements of aquaculture species and the priorities of water quality management in the specific implementation scenario.

[0028] After calculating the comprehensive water quality evaluation index, the water quality evaluation threshold range is set according to the specific implementation scenario to determine whether the current comprehensive water quality evaluation index exceeds the water quality evaluation threshold range. If the comprehensive water quality evaluation index exceeds the preset water quality evaluation threshold range, the corresponding adjustment mechanism is automatically started, such as triggering an alarm to notify the breeding personnel to perform manual intervention.

[0029] In summary, a method for aquaculture monitoring based on the Internet of Things was completed.

[0030] The order of the embodiments of the invention is for description only and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0031] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0032] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions described in the above embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. A method for monitoring aquaculture based on the Internet of Things, characterized in that: The following steps are involved: S1: Obtain the parameters of the saline-alkali land aquaculture pond, and predict the dissolved oxygen concentration through the dissolved oxygen concentration prediction model to obtain the predicted value of dissolved oxygen concentration; S2: Based on the predicted value of dissolved oxygen concentration, the parameters of the saline-alkali land aquaculture pond are adjusted to obtain the adjusted parameters of the saline-alkali land aquaculture pond; S3: Based on the adjusted saline-alkali land aquaculture pond parameters, calculate the comprehensive water quality evaluation index and evaluate the health status of the water quality in the saline-alkali land aquaculture pond.

2. The method for monitoring aquaculture based on the Internet of Things according to claim 1, characterized in that: The S1 specifically includes: The parameters of the saline-alkali land aquaculture pond are denoised and smoothed, and stored and analyzed; the saline-alkali land aquaculture pond parameters include dissolved oxygen concentration, pH value, pond temperature and salinity.

3. The method for monitoring aquaculture based on the Internet of Things according to claim 2, characterized in that: The S1 specifically includes: By analyzing historical data, a dissolved oxygen concentration prediction model is constructed to predict the dissolved oxygen concentration and obtain a predicted value of the dissolved oxygen concentration; the historical data includes historical dissolved oxygen concentration and historical water pool temperature.

4. The method for monitoring aquaculture based on the Internet of Things according to claim 3, characterized in that: The S2 specifically includes: Based on the predicted value of dissolved oxygen concentration and combined with the current salinity, the salinity regulation of the aquaculture pond is optimized to obtain the salinity adjustment value; a dynamic adjustment method based on the salinity threshold is introduced, and the salinity is automatically adjusted based on the salinity adjustment value and combined with the preset minimum salinity threshold and maximum salinity threshold.

5. The method for monitoring aquaculture based on the Internet of Things according to claim 4, characterized in that: The S2 specifically includes: Based on the current pool temperature and the difference between the predicted dissolved oxygen concentration and the actual dissolved oxygen concentration, a temperature adjustment value is calculated; based on the temperature adjustment value and in combination with a preset maximum temperature adjustment range, the pool temperature is adjusted by a temperature control device.

6. The method for monitoring aquaculture based on the Internet of Things according to claim 5, characterized in that: The S2 specifically includes: Based on the predicted dissolved oxygen concentration value, salinity adjustment value and temperature adjustment value, the dissolved oxygen concentration adjustment value is calculated; the dissolved oxygen concentration adjustment formula is as follows: , in, yes The dissolved oxygen concentration adjustment value at the moment; yes The actual value of dissolved oxygen concentration at the moment; is the adjustment coefficient; yes Salinity adjustment value at the moment; yes Salinity value at the moment; yes Temperature adjustment value at the moment; yes The pool temperature at the moment; is the oxygen concentration adjustment factor; yes Predicted dissolved oxygen concentration at the time; Based on the dissolved oxygen concentration adjustment value and the preset maximum adjustment range, the dissolved oxygen concentration is adjusted through the oxygen supply equipment and the data is fed back in real time.

7. The method for monitoring aquaculture based on the Internet of Things according to claim 6, characterized in that: The S3 specifically includes: Based on the adjusted saline-alkali land aquaculture pond parameters and introducing the weight coefficients of each parameter, the comprehensive water quality evaluation index is calculated; the comprehensive water quality evaluation index formula is as follows: , in, yes Comprehensive water quality evaluation index at all times; yes Dissolved oxygen concentration adjusted at all times; is the ideal dissolved oxygen concentration; yes Salinity value adjusted at all times; is the maximum critical value of salinity; yes The pool temperature value adjusted at all times; is the ideal pool temperature; and are the maximum and minimum limits of the pool temperature, respectively; yes pH value at the moment; is the ideal pH value; and are the maximum and minimum permissible ranges of pH value, respectively; , , , are the weight coefficients of each water quality parameter.

8. The method for monitoring aquaculture based on Internet of Things according to claim 7, characterized in that: The S3 specifically includes: Based on the comprehensive water quality evaluation index and the preset water quality evaluation threshold range, the health status of the water quality in saline-alkali land aquaculture ponds is evaluated; when the current comprehensive water quality evaluation index exceeds the water quality evaluation threshold range, the adjustment mechanism is automatically activated.

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