An intelligent environmental monitoring and regulation system for the culture of Hemibarbus labeo

Abstract

The present invention relates to the technical field of process control, and specifically to an intelligent environment monitoring and regulation system for Hemibarbus labeo culture. The system includes: an environmental parameter monitoring module, a multivariable linkage calculation module, an adaptive regulation module, a fuzzy logic control module, and an abnormal emergency response module. In the present invention, through the segmented and grouped analysis and correlation calculation of water quality parameters, a trend value is formed to realize the dynamic prediction of the changes in the culture environment. The analysis of the multi-parameter linkage relationship optimizes the collaborative regulation ability among dissolved oxygen, water temperature, and ammonia nitrogen concentration, improves the accuracy of environmental control, and the real-time matching calculation of equipment operation parameters improves the collaborative efficiency of the oxygen pump frequency and the response of temperature control equipment, enhancing the rapid adaptation ability to water quality changes. The abnormal fluctuation monitoring combined with equipment linkage adjustment ensures a rapid response when the water quality suddenly changes, reducing the adverse impact of environmental fluctuations on fish growth.

Description

Technical Field

[0001] The present invention relates to the technical field of process control, and in particular to an intelligent environment monitoring and regulating system for lip mullet farming. Background Art

[0002] The field of process control technology includes technical means to monitor, analyze and control process variables in industry, agriculture and other production activities. Its core content is to achieve precise regulation and optimization management of the production process through real-time collection and analysis of key parameters. This technical field covers many aspects such as sensor technology, automatic control system, data acquisition and processing technology, and is widely used in industrial manufacturing, environmental protection, agricultural production and other fields. In aquaculture, process control technology is used to achieve dynamic monitoring and control of aquaculture environment parameters. Through high-precision monitoring equipment and automatic control systems, the stability of the aquaculture environment is ensured, thereby improving production efficiency and product quality.

[0003] Among them, the intelligent environmental monitoring and regulation system for lip croaker farming refers to a set of intelligent systems designed for real-time monitoring and regulation of core parameters of the farming environment, targeting the high water quality requirements of lip croaker, an economic fish, during farming. The system uses high-precision sensors to collect data for farming environment parameters such as dissolved oxygen, pH value, water temperature, and ammonia nitrogen concentration, and realizes dynamic regulation of environmental parameters through data-driven control strategies. Specifically, the system monitors the dissolved oxygen concentration and controls the oxygen pump and water circulation device in a linkage manner to ensure that the oxygen concentration remains within an appropriate range; by monitoring the pH value, the additive delivery device is adjusted to maintain the acid-base balance; by monitoring the water temperature, the heating or cooling equipment is dynamically adjusted to maintain a stable water temperature; by monitoring the ammonia nitrogen concentration, the filtration or water exchange device is started to reduce the concentration of harmful substances. The system focuses on data collection, analysis, and linkage control, and meets the strict water quality requirements of lip croaker farming through systematic linkage regulation.

[0004] Existing technologies lack a comprehensive analysis of the dynamic correlation between water quality parameters and cannot effectively predict the linkage trend of multi-parameter changes, resulting in delayed regulation and inaccurate response. The threshold monitoring method of a single parameter ignores the mutual influence between dissolved oxygen, water temperature and ammonia nitrogen concentration, making it difficult to achieve systematic regulation. The operating parameters of the equipment are not fully matched, and the oxygen pump and temperature control equipment are difficult to adjust synchronously, affecting operating efficiency. Abnormal emergency handling is based on static rules and cannot flexibly respond to water quality fluctuations or sudden changes, which may lead to environmental out of control and have a negative impact on fish growth, such as slow changes in dissolved oxygen or water temperature, resulting in reduced survival rates. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an intelligent environment monitoring and regulation system for lip mullet farming.

[0006] To achieve the above object, the present invention adopts the following technical solutions: An intelligent environment monitoring and regulating system for Hemibarbus labeo culture includes:

[0007] The environmental parameter monitoring module groups the real-time data of multiple water body parameters in the culture pond by time period based on the culture water temperature, ammonia nitrogen concentration, dissolved oxygen content in water, and pH value, calculates the volatility rates of water temperature, dissolved oxygen content, and pH value, identifies the correlation between the changes in ammonia nitrogen concentration and dissolved oxygen content, establishes a fluctuation trend curve based on the correlation values between water quality parameters, and generates an environmental fluctuation trend value;

[0008] The multi-variable linkage calculation module calculates the influence relationship between water temperature and dissolved oxygen content based on the environmental fluctuation trend value, records the pH value changes caused by ammonia nitrogen concentration, analyzes the correlation between dissolved oxygen content and water temperature, calculates the interaction dynamics between different parameters, and generates a linkage characteristic value of the culture water body;

[0009] The adaptive regulation module monitors the real-time operation data of the oxygen pump frequency and the water temperature regulator based on the linkage characteristic value of the culture water body, calculates the matching degree between the oxygen pump frequency and water temperature regulation, adjusts the setting of the temperature control device in response to ammonia nitrogen concentration, and generates a device dynamic regulation parameter value;

[0010] The fuzzy logic control module checks the matching between the oxygen pump operation level and the dissolved oxygen range based on the device dynamic regulation parameter value, adjusts the water temperature regulation range to match the change in ammonia nitrogen concentration, resets the device response level and operation range, and generates a regulation device matching coefficient;

[0011] The abnormal emergency response module monitors the abnormal fluctuations of the dissolved oxygen content and ammonia nitrogen concentration in the water body based on the regulation device matching coefficient, calculates the relationship between the abnormal change in water temperature and the output of the oxygen pump, adjusts the linkage setting of the oxygenation device and the cooling device, and redistributes the emergency regulation value of the culture environment according to the device output.

[0012] The environmental fluctuation trend value specifically includes water temperature volatility rate, dissolved oxygen content volatility rate, pH value volatility rate, and correlation of ammonia nitrogen concentration change. The linkage characteristic value of the culture water body includes the influence relationship between water temperature and dissolved oxygen content, pH value change caused by ammonia nitrogen concentration, correlation between dissolved oxygen content and water temperature, and interaction dynamics of different parameters. The device dynamic regulation parameter value specifically refers to the matching degree between the oxygen pump frequency and water temperature regulation, and the setting of the temperature control device in response to ammonia nitrogen. The regulation device matching coefficient specifically includes the matching between the oxygen pump operation level and the dissolved oxygen range, the matching between the water temperature regulation range and the change in ammonia nitrogen concentration, and the setting of the device response level and operation range. The emergency regulation value of the culture environment includes the relationship between the abnormal change in water temperature and the output of the oxygen pump, and the linkage setting of the oxygenation device and the cooling device.

[0013] As a further solution of the present invention, the specific steps for obtaining the environmental fluctuation trend value are:

[0014] Based on the real-time data of the aquaculture pond, continuously monitored values of water temperature and dissolved oxygen in the water body are extracted. For the continuously monitored values of water temperature, the instantaneous change rate of water temperature is calculated. The difference method is used to calculate the change values between adjacent time points and summarized into a set of change rates. At the same time, for the continuously monitored values of dissolved oxygen, the same difference method is used to calculate the instantaneous change rate and generate a set of dissolved oxygen change rates, which are integrated into a set of change rates of water temperature and dissolved oxygen;

[0015] Based on the set of change rates of water temperature and dissolved oxygen, segmented operations are performed. The standard deviation and fluctuation coefficient are calculated by combining the set of change rates for each segment. The formula is used:

[0016] ;

[0017] Generate the volatility of water temperature and dissolved oxygen for each segment;

[0018] Among them, represents the volatility of the i-th segment, represents the water temperature change rate at the j-th moment in the i-th segment, represents the average value of the water temperature change rate in the i-th segment, represents the number of data points in the i-th segment, represents the dissolved oxygen change rate at the j-th moment in the i-th segment, represents the influence weight parameter of dissolved oxygen on volatility, and the weight parameter adjusts the contribution of the dissolved oxygen change rate to volatility;

[0019] Based on the volatility of water temperature and dissolved oxygen, combined with water quality correlation conditions, by setting the threshold of ammonia nitrogen concentration change and the range of pH value change, the set of volatility is grouped according to time periods. The volatility values within the cumulative time periods are used to form a fluctuation trend, and each segment of the fluctuation trend is fitted with a smooth curve to generate a fluctuation trend curve;

[0020] Through the fluctuation trend curve, combined with the monitoring data of ammonia nitrogen concentration and pH value changes, significant nodes of the time series changes in the fluctuation trend curve are extracted, the change correlations among water temperature, dissolved oxygen and ammonia nitrogen concentration are analyzed, and at the same time, the significant change characteristics of water quality parameters in the corresponding time periods are extracted to generate an environmental fluctuation trend value.

[0021] As a further solution of the present invention, the steps for obtaining the aquaculture water body linkage characteristic value are specifically as follows:

[0022] According to the environmental fluctuation trend value, data of water temperature, dissolved oxygen, ammonia nitrogen concentration and pH value are extracted. The extracted data is normalized. The value of each parameter is adjusted to the same numerical range through the normalization formula to ensure the comparability of values among different parameters, and a set of normalized water quality parameters is generated;

[0023] The normalized water quality parameter set is used to calculate the correlation coefficients between water temperature and dissolved oxygen content and between ammonia nitrogen concentration and pH value using the formula:

[0024] ;

[0025] Calculations are performed to obtain the correlation results between water temperature and dissolved oxygen content and the correlation results between ammonia nitrogen concentration and pH value, and generate correlation coefficients;

[0026] in, represents the correlation coefficient between variables x and y, A single value representing water temperature or ammonia nitrogen concentration, A single value representing dissolved oxygen or pH, Represents the average value of water temperature or ammonia nitrogen concentration, Represents the average value of dissolved oxygen or pH value, summation symbol It means summing all data points;

[0027] Based on the correlation coefficient, the interactive dynamics between water temperature and dissolved oxygen, ammonia nitrogen concentration and pH value are analyzed, the significance of the parameter interaction relationship is determined by calculating the correlation comparison value, a multivariate linear model is constructed, the contribution of each parameter to the interactive dynamics is analyzed, and the interactive dynamics analysis results are generated;

[0028] Based on the interactive dynamic analysis results, the linkage characteristics of water temperature, dissolved oxygen, ammonia nitrogen concentration and pH value are extracted, the contribution of differentiated parameters is integrated, and the comprehensive results are calculated by adjusting the parameter weights to generate the linkage characteristic values ​​of aquaculture water.

[0029] As a further solution of the present invention, the step of obtaining the device dynamic adjustment parameter value is specifically:

[0030] Based on the linkage characteristic value of the aquaculture water body, the real-time operation data of the oxygen pump frequency and the water temperature regulator are monitored simultaneously, and recorded and archived in time series, the change trend of the equipment operation frequency is extracted, and a real-time equipment operation data set is generated;

[0031] Based on the real-time equipment operation data set, the matching degree between the oxygen pump frequency and the water temperature regulator operation is calculated using the formula:

[0032] ;

[0033] Generate the matching analysis results of oxygen pump and water temperature regulator;

[0034] in, Represents the matching degree, which indicates the degree of coordination between the operating frequencies of the two devices. Represents oxygen pump The running frequency data of times, Represent the operating frequency data of the water temperature regulator for the th time, represent the total number of records in the time series;

[0035] Analyze the matching degree analysis result of the oxygen pump and the water temperature regulator, judge whether the equipment operation coordination meets the standard, and by dynamically adjusting the response sensitivity of the temperature control equipment to the ammonia nitrogen concentration, reset the temperature adjustment range and adjustment threshold of the temperature control equipment to generate an optimized temperature control equipment setting;

[0036] Apply the optimized temperature control equipment setting to the real-time operation of the equipment, monitor the ammonia nitrogen concentration response result of the equipment operation, and at the same time record and analyze the dynamic adjustment parameters and water quality status of the equipment operation, and adjust the parameter configuration according to the actual operation situation of the equipment to generate the dynamic adjustment parameter value of the equipment.

[0037] As a further solution of the present invention, the specific steps for obtaining the matching coefficient of the adjustment equipment are as follows:

[0038] According to the dynamic adjustment parameter value of the equipment, monitor the real-time data of the operation level and dissolved oxygen interval of the oxygen pump, perform a corresponding matching analysis on the frequency of the oxygen pump operation level and the dissolved oxygen interval, analyze the coverage rate and adaptability of multiple operation levels to the dissolved oxygen interval, extract the correlation characteristics between the oxygen pump operation level and the dissolved oxygen interval, and generate the matching analysis result of the oxygen pump and the dissolved oxygen interval;

[0039] Based on the matching analysis result of the oxygen pump and the dissolved oxygen interval, adjust the adjustment range of the water temperature regulator in combination with the change range of the ammonia nitrogen concentration, calculate the optimal water temperature adjustment range, and use the formula:

[0040] ;

[0041] Adjust the water temperature adjustment range to match the operation state and dissolved oxygen level of the oxygen pump to generate an adjusted water temperature adjustment range;

[0042] Among them, represents the adjusted water temperature adjustment range, is the basic water temperature setting, is the adjustment sensitivity coefficient, is the change amount of the ammonia nitrogen concentration, representing the absolute value of the change in the ammonia nitrogen concentration, is the compensation coefficient of the ammonia nitrogen concentration to the adjustment sensitivity, which is used to smooth the influence of the change range on the water temperature adjustment;

[0043] Using the adjusted water temperature regulation range, reset the device response levels of the oxygen pump and the water temperature regulator, optimize the operating ranges and adjustment thresholds of the oxygen pump and the water temperature regulator, and at the same time determine the device response efficiency based on the coverage of the dissolved oxygen range by the operating level, and generate an optimized device response level;

[0044] Combined with the optimized device response level and the water temperature regulation range, evaluate the degree to which the device dynamic regulation meets the dissolved oxygen demand, perform a matching analysis on the operating ranges and dynamic response parameters of the oxygen pump and the water temperature regulator, comprehensively calculate the overall matching coefficient, and generate a regulation device matching coefficient.

[0045] As a further solution of the present invention, the specific steps for obtaining the emergency adjustment value of the aquaculture environment are as follows:

[0046] Based on the regulation device matching coefficient, monitor the real-time fluctuation data of the dissolved oxygen content and ammonia nitrogen concentration in the water body, quantitatively analyze the fluctuation characteristics of the dissolved oxygen content and ammonia nitrogen concentration, extract the abnormal change ranges of the dissolved oxygen content and ammonia nitrogen concentration, screen the key intervals of abnormal fluctuations, and generate the abnormal fluctuation characteristic values of the dissolved oxygen content and ammonia nitrogen concentration;

[0047] Combined with the abnormal fluctuation characteristic values of the dissolved oxygen content and ammonia nitrogen concentration, analyze the influence of abnormal water temperature changes on the output frequency of the oxygen pump, calculate the matching relationship between the water temperature change and the output of the oxygen pump, and use the formula:

[0048] ;

[0049] Calculate the sensitivity of the oxygen pump response frequency to water temperature changes, and generate the matching relationship between the oxygen pump and water temperature anomalies;

[0050] Wherein, represents the oxygen pump response frequency, represents the change range of the water temperature, is the adjustment coefficient of the water temperature to the oxygen pump response frequency, represents the real-time dissolved oxygen content, is the target dissolved oxygen content, is the dissolved oxygen compensation parameter, which is used to smooth the change range of the oxygen pump frequency adjustment;

[0051] Based on the matching relationship between the oxygen pump and water temperature anomalies, adjust the linkage settings of the aeration equipment and the cooling equipment, set the response levels and operating ranges of multiple devices, optimize the operating ranges and operating parameters of the devices, and combine the water temperature and dissolved oxygen to dynamically adjust the device operating mode, and generate device linkage setting parameters;

[0052] Set parameters in combination with the device linkage, re - allocate the output of the aeration and cooling equipment, analyze the response effect of the equipment output on the abnormal fluctuation of water quality, perform hierarchical response processing on the dynamic adjustment of water quality according to the equipment output, and generate the emergency adjustment value of the aquaculture environment.

[0053] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0054] In the present invention, through the segmented and grouped analysis and correlation calculation of water quality parameters, a trend value is formed to realize the dynamic prediction of the changes in the aquaculture environment. The analysis of the multi - parameter linkage relationship optimizes the coordinated adjustment ability among dissolved oxygen content, water temperature, and ammonia nitrogen concentration, and improves the accuracy of environmental control. The real - time matching calculation of equipment operation parameters improves the coordinated efficiency of the oxygen pump frequency and the response of the temperature control equipment, and enhances the rapid adaptability to water quality changes. The combination of abnormal fluctuation monitoring and equipment linkage adjustment ensures a rapid response when water quality suddenly changes, and reduces the adverse impact of environmental fluctuations on the growth of fish. Overall, the high efficiency and accuracy of water quality regulation are achieved, meeting the requirements of high - demand aquaculture scenarios, and significantly improving production efficiency and product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 is the system flow chart of the present invention;

[0056] Figure 2 is the flow chart of the steps for obtaining the environmental fluctuation trend value of the present invention;

[0057] Figure 3 is the flow chart of the steps for obtaining the linkage characteristic value of the aquaculture water body of the present invention;

[0058] Figure 4 is the flow chart of the steps for obtaining the dynamic adjustment parameter value of the equipment of the present invention;

[0059] Figure 5 is the flow chart of the steps for obtaining the matching coefficient of the adjustment equipment of the present invention;

[0060] Figure 6 is the flow chart of the steps for obtaining the emergency adjustment value of the aquaculture environment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0061] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0062] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation to the present invention. In addition, in the description of the present invention, the meaning of "a plurality of" is two or more, unless otherwise specifically defined.

[0063] Embodiment 1:

[0064] Please refer to Figure 1 , an intelligent environment monitoring and regulation system for the cultivation of Hemibarbus labeo includes:

[0065] The environmental parameter monitoring module groups the real-time data of multiple water body parameters in the cultivation pond by time period based on the cultivation water temperature, ammonia nitrogen concentration, dissolved oxygen content in the water body, and pH value, calculates the volatility of the water temperature, dissolved oxygen content, and pH value, identifies the mutual relationship between the change of ammonia nitrogen concentration and dissolved oxygen content, establishes a fluctuation trend curve based on the correlation value between water quality parameters, and generates an environmental fluctuation trend value;

[0066] The multi-variable linkage calculation module calculates the influence relationship between the water temperature and the dissolved oxygen content based on the environmental fluctuation trend value, records the change of pH value caused by the ammonia nitrogen concentration, analyzes the correlation between the dissolved oxygen content and the water temperature, calculates the interaction dynamics between different differential parameters, and generates a linkage characteristic value of the cultivation water body;

[0067] The adaptive regulation module monitors the real-time operation data of the oxygen pump frequency and the water temperature regulator based on the linkage characteristic value of the cultivation water body, calculates the matching degree between the oxygen pump frequency and the water temperature regulation, adjusts the setting of the temperature control equipment in response to the ammonia nitrogen concentration, and generates a device dynamic regulation parameter value;

[0068] The fuzzy logic control module checks the matching between the operation level of the oxygen pump and the dissolved oxygen interval based on the device dynamic regulation parameter value, adjusts the water temperature regulation range to match the change of ammonia nitrogen concentration, resets the device response level and operation range, and generates a regulation device matching coefficient;

[0069] The abnormal emergency response module monitors the abnormal fluctuations of the dissolved oxygen content and ammonia nitrogen concentration in the water body based on the regulation device matching coefficient, calculates the relationship between the abnormal change of the water temperature and the output of the oxygen pump, adjusts the linkage setting of the oxygenation equipment and the cooling equipment, and redistributes the emergency regulation value of the cultivation environment according to the device output.

[0070] The environmental fluctuation trend values specifically include the water temperature volatility rate, dissolved oxygen volatility rate, pH value volatility rate, and the correlation of ammonia nitrogen concentration changes. The aquaculture water body linkage characteristic values include the influence relationship between water temperature and dissolved oxygen, the pH value change caused by ammonia nitrogen concentration, the correlation between dissolved oxygen and water temperature, and the interactive dynamics of differential parameters. The device dynamic adjustment parameter values specifically refer to the matching degree between the oxygen pump frequency and water temperature adjustment, and the ammonia nitrogen setting response of the temperature control device. The adjustment device matching coefficient specifically is the matching between the oxygen pump operation level and the dissolved oxygen range, the matching between the water temperature adjustment range and the ammonia nitrogen concentration change, and the setting of the device response level and the operation range. The aquaculture environment emergency adjustment values include the relationship between abnormal water temperature changes and the oxygen pump output, and the linkage setting of the oxygenation device and the cooling device.

[0071] Please refer to Figure 2 , and the specific steps for obtaining the environmental fluctuation trend values are as follows:

[0072] Based on the real-time data of the aquaculture pond, extract the continuous monitoring values of water temperature and dissolved oxygen in the water body. Calculate the instantaneous change rate of water temperature for the continuous monitoring values of water temperature. Use the difference method to calculate the change values between adjacent time points and summarize them into a change rate set. At the same time, use the same difference method to calculate the instantaneous change rate for the continuous monitoring values of dissolved oxygen and generate a dissolved oxygen change rate set, and integrate them into the change rate set of water temperature and dissolved oxygen;

[0073] By calling the adjacent point values in the time series monitoring data and using the difference formula , where is the water temperature at the jth moment, is the water temperature at the previous moment, summarize the calculation results into the water temperature change rate set. For the continuous monitoring values of dissolved oxygen, use the same difference formula , where is the dissolved oxygen at the jth moment, is the dissolved oxygen at the previous moment, calculate and generate the dissolved oxygen change rate set, and summarize the water temperature change rate set and the dissolved oxygen change rate set to generate the change rate set of water temperature and dissolved oxygen.

[0074] Based on the change rate set of water temperature and dissolved oxygen, perform segmented operations, and calculate the standard deviation and fluctuation coefficient in combination with the change rate set of each segment. Use the formula:

[0075] ;

[0076] Generate the volatility rate of water temperature and dissolved oxygen for each segment;

[0077] Among them, represents the volatility rate of the ith segment, represents the water temperature change rate at the jth moment in the ith segment, represents the average value of the water temperature change rate of the ith segment, represents the number of data points in the ith segment, represents the change rate of dissolved oxygen at the j-th moment in the i-th section, represents the influence weight parameter of dissolved oxygen on volatility, and the weight parameter adjusts the contribution of the change rate of dissolved oxygen to volatility;

[0078] Formula:

[0079] ;

[0080] The advantage of the formula is that by introducing the change rate term of dissolved oxygen and the weight parameter , and considering the mean square deviation of water temperature volatility at the same time, the volatility calculation is more accurate, and the volatility analysis can be carried out by comprehensively considering the correlation between multiple parameters.

[0081] Detailed explanation of the formula and the derivation process of formula calculation:

[0082] It is obtained by calculating the differential formula of the instantaneous change rate of water temperature. Assume that the i-th section contains 6 data points,

[0083] The values are 1.5, 2.3, 2.1, 1.8, 2.0, 2.5 in sequence, and calculate as:

[0084] ;

[0085] Calculate as:

[0086] ;

[0087] Calculate the mean square deviation of water temperature fluctuation as ;

[0088] Calculate the absolute change rate part of dissolved oxygen ;

[0089] It is obtained by the differential formula of the change rate of dissolved oxygen. Assume the values are 0.8, 1.2, 1.0, 1.1, 0.9, 1.3 in sequence, and calculate :

[0090] ;

[0091] Assume , then calculate as:

[0092] ;

[0093] Finally, calculate the volatility .

[0094] This result shows that the volatility value is 0.8995, representing the fluctuation level of water temperature and dissolved oxygen content within the $i$-th period. The volatility rate obtained through comprehensive analysis of the change rates of water temperature and dissolved oxygen content is used as the basic data input for subsequent trend analysis.

[0095] Based on the volatility rates of water temperature and dissolved oxygen content, combined with water quality correlation conditions, by setting the threshold of ammonia nitrogen concentration change and the range of pH value change, the volatility rate set is grouped by time period. The volatility rate values within the cumulative time period are used to form a fluctuation trend, and each segment of the fluctuation trend is fitted with a smooth curve to generate a fluctuation trend curve;

[0096] Call the volatility rate value of each segment and use the cumulative formula , where is the fluctuation trend value of the $i$-th segment, is the volatility rate of the $k$-th sub-segment within the $i$-th segment, is the number of sub-segments in each segment. The calculation result generates the fluctuation trend value of each segment. Fit the fluctuation trend value of each segment, and smooth the fluctuation trend through a polynomial regression model to generate a fluctuation trend curve.

[0097] Through the fluctuation trend curve, combined with the monitoring data of ammonia nitrogen concentration and pH value changes, extract the significant nodes of the time series change in the fluctuation trend curve, analyze the change correlation among water temperature, dissolved oxygen content and ammonia nitrogen concentration, and at the same time extract the significant change characteristics of water quality parameters in the corresponding time period to generate the environmental fluctuation trend value.

[0098] Set the change threshold of ammonia nitrogen concentration as , by detecting the ammonia nitrogen concentration meeting the condition, filter out the significant fluctuation segments, where is the average value of ammonia nitrogen concentration. Further eliminate the selected time periods in combination with the upper and lower limit ranges of pH value, extract the significant change nodes of the time periods that meet the conditions, analyze the change correlation among water temperature, dissolved oxygen content and ammonia nitrogen concentration, and combine with the corresponding fluctuation trend values within the time period to generate the environmental fluctuation trend value.

[0099] Please refer to Figure 3 , the specific steps for obtaining the linkage characteristic value of the aquaculture water body are as follows:

[0100] According to the environmental fluctuation trend value, extract the data of water temperature, dissolved oxygen content, ammonia nitrogen concentration and pH value, and perform normalization processing on the extracted data. Adjust the value of each parameter to the same numerical range through the normalization formula to ensure the comparability of values among different parameters, and generate a set of normalized water quality parameters;

[0101] First, calculate the maximum and minimum values of each parameter data respectively, and use the normalization formula to process each parameter data, where is a single raw data value, is the maximum value of this parameter, is the minimum value of this parameter. After normalization, the value range of each parameter is adjusted to [0, 1]. Next, the normalized data is verified by sampling to calculate whether the deviation between the normalized result and the raw data satisfies the threshold of less than 0.01. Finally, all the historical data of water temperature, dissolved oxygen, ammonia nitrogen concentration, and pH value after normalization are integrated into a standardized water quality parameter set, generating a normalized water quality parameter set.

[0102] Using the normalized water quality parameter set, calculate the correlation coefficients between water temperature and dissolved oxygen, and between ammonia nitrogen concentration and pH value, using the formula:

[0103] ;

[0104] Perform the calculation to obtain the correlation results between water temperature and dissolved oxygen and between ammonia nitrogen concentration and pH value, generating correlation coefficients;

[0105] Among them, represents the correlation coefficient between variables x and y, represents a single value of water temperature or ammonia nitrogen concentration, represents a single value of dissolved oxygen or pH value, represents the average value of water temperature or ammonia nitrogen concentration, represents the average value of dissolved oxygen or pH value, and the summation symbol indicates the summation over all data points;

[0106] Formula:

[0107] ;

[0108] The advantage of the formula is that by using the normalized water quality parameter set, the linear correlation between variables is calculated, and the correlation strength between parameters is indicated by the numerical value of the correlation coefficient, so that the interaction relationship between water quality parameters can be measured in a clear numerical form in subsequent steps.

[0109] Detailed explanation of the formula and the derivation process of the formula calculation:

[0110] In this example, the correlation between water temperature ( ) and dissolved oxygen ( ) is calculated. The monitoring data is water temperature and dissolved oxygen . First, calculate the average values of and respectively:

[0111] ;

[0112] ;

[0113] Then calculate the numerator part:

[0114] ;

[0115] ;

[0116] Calculate the denominator part:

[0117] ;

[0118] ;

[0119] ;

[0120] Calculate the correlation coefficient:

[0121] ;

[0122] Generate the correlation coefficient.

[0123] This result indicates that the correlation coefficient between water temperature and dissolved oxygen content is -0.94, indicating a strong negative correlation between the two. The increase in water temperature will lead to a decrease in dissolved oxygen content, and the numerical result will be used as an important parameter for subsequent analysis of interaction dynamics.

[0124] Based on the correlation coefficient, analyze the interaction dynamics between water temperature and dissolved oxygen content, ammonia nitrogen concentration and pH value. Determine the significance of parameter interaction relationships by calculating the correlation comparison value, construct a multiple linear model, analyze the contribution degree of each parameter to the interaction dynamics, and generate the interaction dynamics analysis result;

[0125] First, distinguish strong and weak interaction relationships according to the absolute value of the correlation coefficient value. For example, if the absolute value of the correlation coefficient is greater than 0.7, it is determined as a strong interaction relationship, otherwise it is a weak interaction relationship. Subsequently, perform dynamic calculations on the strong interaction relationships, analyze the influence of other parameters in the strong interaction relationships by constructing a multiple linear model, and perform staged processing on the change values of each parameter in the interaction model during the dynamic analysis process. Calculate the contribution degree of each parameter in the model stage by stage and generate the contribution degree distribution curve. The construction of the contribution degree distribution curve is based on the normalized ratio of the change rate of each parameter to the total dynamic change amount. Integrate each contribution degree distribution curve to summarize the interaction dynamics and generate the interaction dynamics analysis result.

[0126] Based on the comprehensive interaction dynamics analysis result, extract the linkage characteristics of water temperature, dissolved oxygen content, ammonia nitrogen concentration and pH value, integrate the contribution degrees of different parameters, and calculate the comprehensive result by adjusting the parameter weights to generate the linkage characteristic value of the aquaculture water body.

[0127] Firstly, the total value of the contribution distribution curve in the interactive dynamic analysis is used as the basis for setting the weighted coefficient, and the total normalized value of each curve is used as the coefficient. The linkage characteristics of each water quality parameter are weighted and integrated in combination with the linkage characteristic value of each parameter. In the weighted calculation process, all the normalized values ​​of the contribution are substituted into the weighted average formula and the linkage value of each parameter is calculated one by one. The overall linkage characteristics of each water quality parameter are generated through integration. The total linkage value between the water quality parameters is calculated in combination with the overall linkage characteristics to generate the linkage characteristic value of the aquaculture water body.

[0128] See also Figure 4 , the specific steps for obtaining the device dynamic adjustment parameter value are:

[0129] Based on the linkage characteristic value of the aquaculture water body, the real-time operation data of the oxygen pump frequency and the water temperature regulator are monitored simultaneously, and recorded and archived in time series, the change trend of the equipment operation frequency is extracted, and a real-time equipment operation data set is generated;

[0130] Based on the linkage characteristic value data of water bodies, the operating trends of various parameters are analyzed, and the monitoring data are divided into multiple intervals according to time periods. The fluctuation value within the time period is calculated as the frequency standard deviation based on the average oxygen pump frequency and water temperature regulator operating value of each time period as the basic calculation unit. The calculated standard deviation is used to evaluate the frequency change trend of the equipment. According to the evaluation and analysis of the changing characteristics of the operating parameters in each time period and the coordination of water temperature and oxygen supply, a linkage effect model is constructed based on all archived frequency data and water temperature regulator operating values, combined with the real-time water temperature, ammonia nitrogen concentration and dissolved oxygen fluctuation values ​​in water quality parameters. The volatility formula is called in the model to analyze the data change characteristics of each time period, and archived data is generated through the synchronization evaluation of equipment operation data and water quality change data, and a real-time equipment operation data set is generated.

[0131] Based on the real-time equipment operation data set, the matching degree between the oxygen pump frequency and the water temperature regulator operation is calculated using the formula:

[0132] ;

[0133] Generate the matching analysis results of oxygen pump and water temperature regulator;

[0134] in, Represents the matching degree, which indicates the degree of coordination between the operating frequencies of the two devices. Represents oxygen pump The running frequency data of times, Represents the water temperature regulator The running frequency data of times, Represents the total number of records in the time series;

[0135] formula:

[0136] ;

[0137] The advantage of the formula is that by constructing the ratio of the difference between the device frequencies to their sum, the relative matching degree of the device operation is calculated. At the same time, in combination with the total number of time series normalizing the matching degree can dynamically reflect the coordination of different devices and provide a unified evaluation standard.

[0138] Detailed explanation of the formula and the derivation process of the formula calculation:

[0139] According to the acquired real-time device operation data set, select the oxygen pump frequency and the operation frequency of the water temperature regulator data. Assume the total time series , and substitute the following collected monitoring data into the calculation: , .

[0140] First step, calculate the absolute difference of the numerator at each time point:

[0141] ;

[0142] Second step, calculate the sum of the denominator at each time point:

[0143] ;

[0144] Third step, calculate the ratio at each time point and sum them up:

[0145] .

[0146] .

[0147] Fourth step, normalize the calculation of the matching degree:

[0148] .

[0149] The result shows that the device matching degree is 0.03506. The lower this value, the smaller the difference in the operation frequencies between the oxygen pump and the water temperature regulator, and the higher the coordination. The numerical result is directly used to guide the adjustment of device parameters.

[0150] Analyze the matching degree analysis result of the oxygen pump and the water temperature regulator, judge whether the device operation coordination meets the standard, and by dynamically adjusting the response sensitivity of the temperature control device to the ammonia nitrogen concentration, reset the temperature adjustment range and adjustment threshold of the temperature control device to generate an optimized temperature control device setting;

[0151] Judge whether the operation coordination of the equipment meets the standard according to the matching degree result, extract the operation intervals with a matching degree lower than the threshold, focus on analyzing the equipment frequency data in these operation intervals, conduct a segmented evaluation of the fluctuation characteristics of the operation frequency, calculate the correlation degree between the equipment operation parameters and the water quality parameters by comparing the operation frequency and the fluctuation values of water temperature and dissolved oxygen in the intervals with a lower matching degree one by one, combine the time series of the actual monitoring data, limit the change ranges of the oxygen pump frequency and the water temperature regulator operation within a certain interval to eliminate the possibility of uncoordinated operation between the equipment, gradually adjust the response sensitivity of the temperature control equipment to the ammonia nitrogen concentration for the extracted low-matching degree intervals, introduce the linkage characteristic value of water temperature and ammonia nitrogen concentration into the response sensitivity to dynamically correct the response range, and reset the temperature adjustment range and adjustment threshold of the temperature control equipment based on the corrected equipment operation interval to generate an optimized temperature control equipment setting.

[0152] Apply the optimized temperature control equipment setting to the real-time operation of the equipment, monitor the response result of the ammonia nitrogen concentration of the equipment operation, record and analyze the dynamic adjustment parameters and water quality status of the equipment operation at the same time, and adjust the parameter configuration according to the actual operation situation of the equipment to generate the dynamic adjustment parameter value of the equipment.

[0153] Conduct dynamic monitoring on the changes of water temperature and oxygen pump frequency during the operation process, record the change trend of ammonia nitrogen concentration before and after the adjustment of the temperature control equipment, analyze the real-time adjustment effect of the equipment operation, quantify the adjustment efficiency of the equipment according to the analysis result, introduce the real-time adjustment efficiency as an important evaluation index of the equipment linkage performance, calculate the linkage efficiency of the change data of real-time water temperature, ammonia nitrogen concentration and dissolved oxygen in each time period in segments, dynamically adjust the temperature adjustment parameters of the temperature control equipment within the operation interval according to the analysis result, and evaluate the system adjustment efficiency through the dynamic linkage model after the equipment adjustment to generate the dynamic adjustment parameter value of the equipment.

[0154] Please refer to Figure 5 , and the specific steps for obtaining the adjustment equipment matching coefficient are as follows:

[0155] According to the dynamic adjustment parameter value of the equipment, monitor the real-time data of the operation level of the oxygen pump and the dissolved oxygen interval, conduct a corresponding matching analysis on the frequency of the operation level of the oxygen pump and the dissolved oxygen interval, analyze the coverage rate and adaptability of multiple operation levels to the dissolved oxygen interval, extract the correlation characteristics between the operation level of the oxygen pump and the dissolved oxygen interval, and generate the matching analysis result between the oxygen pump and the dissolved oxygen interval;

[0156] By extracting the operation data of the monitoring equipment, including the frequency of the oxygen pump, the equipment operation time, and the distribution of dissolved oxygen levels over time, the dissolved oxygen coverage range at different frequencies is summarized. By grouping and classifying the dissolved oxygen coverage at different operation levels, the distribution range of the dissolved oxygen interval at the operation level is calculated. The normalization formula is used to standardize the distribution range for subsequent comparative analysis. According to the formula for calculation, where represents the dissolved oxygen coverage rate at the i-th operation level, is the dissolved oxygen interval range value corresponding to the i-th operation level, is the maximum value of the dissolved oxygen interval. By comparing the standardized coverage rates, the matching degree between the operation level and the dissolved oxygen interval at different oxygen pump frequencies is judged. The operation levels with relatively low coverage rates are screened, and the coverage fluctuations of the low-coverage levels under the change of ammonia nitrogen concentration are further analyzed. The low-coverage levels are classified in combination with the interval values of ammonia nitrogen concentration. By calculating the change of the coverage range at different time periods, the operation levels with insufficient dissolved oxygen coverage rates are adjusted. Through the above process, the correlation characteristics between the operation level of the oxygen pump and the dissolved oxygen interval are extracted, and the matching analysis result between the oxygen pump and the dissolved oxygen interval is generated.

[0157] Based on the matching analysis result between the oxygen pump and the dissolved oxygen interval, the adjustment range of the water temperature regulator is adjusted in combination with the change range of ammonia nitrogen concentration, and the optimal water temperature adjustment range is calculated using the formula:

[0158] ;

[0159] Adjust the water temperature adjustment range to match the operation state of the oxygen pump and the dissolved oxygen level, and generate the adjusted water temperature adjustment range;

[0160] where represents the adjusted water temperature adjustment range, is the basic water temperature setting, is the adjustment sensitivity coefficient, is the change amount of ammonia nitrogen concentration, representing the absolute value of the change in ammonia nitrogen concentration, is the compensation coefficient of ammonia nitrogen concentration for adjustment sensitivity, used to smooth the influence of the change range on the water temperature adjustment;

[0161] Formula:

[0162] ;

[0163] The advantage of the formula is that by introducing the compensation coefficient the influence of ammonia nitrogen concentration change on adjustment sensitivity is smoothed, and at the same time, the large change value is reduced by the square root function in the denominator to reduce the fluctuation of the water temperature adjustment range, ensuring that the adjustment range is more stable and flexible;

[0164] Detailed Explanation of the Formula and Derivation Process of Formula Calculation:

[0165] The basic water temperature given in the equipment manual is set to 25. represents the change in ammonia nitrogen concentration, which is monitored by an ammonia nitrogen sensor for the change in ammonia nitrogen concentration within a specified time interval (e.g., within 1 hour). The sampling values are 0.6, 0.8, and 1.0 respectively. Using the formula for calculation, we get , represents the adjustment sensitivity coefficient, which is dynamically set based on the equipment adjustment ability and historical operation data, and has an inverse relationship with the change in ammonia nitrogen concentration. The setting formula is , where is the adjustment efficiency parameter of the temperature control equipment, is the compensation coefficient. The average compensation value of 0.2 is obtained based on historical data statistics and substituted into the formula:

[0166] ;

[0167] Calculation process:

[0168] ;

[0169] ;

[0170] ;

[0171] This result shows that the adjusted value of the water temperature adjustment range is 25.6455, which is an increase of 0.6455 compared to the basic water temperature, and can maintain the sensitivity of water temperature adjustment when the change in ammonia nitrogen concentration is small, generating the adjusted water temperature adjustment range.

[0172] Using the adjusted water temperature adjustment range, re - set the equipment response levels of the oxygen pump and the water temperature regulator, optimize the operating ranges and adjustment thresholds of the oxygen pump and the water temperature regulator, and at the same time determine the equipment response efficiency based on the coverage of the dissolved oxygen interval by the operating levels, generating the optimized equipment response levels;

[0173] Analyze the variation law of the device response level through real-time operation data analysis of the device, extract the corresponding relationship between the device operation frequency and the dissolved oxygen level, calculate the time distribution of the device response level change in combination with the adjusted water temperature range, use the correlation diagram of the response level and the operation time to analyze the time period with a lower response level during device operation, calculate the optimized target value of the response level according to the dissolved oxygen interval coverage range, use time series analysis to extract abnormal fluctuations in the operation level, extract key nodes of frequency change through fluctuation analysis, recalculate the influence degree of water temperature adjustment on the dissolved oxygen demand according to the linkage between the water temperature adjustment range and the ammonia nitrogen concentration response, optimize the operation range and adjustment threshold of the device response level through hierarchical adjustment, classify and optimize the adjustment ranges of each level in combination with the coverage of dissolved oxygen and operation level, and generate an optimized device response level through matching tests on the optimized operation level.

[0174] Combine the optimized device response level and the water temperature adjustment range to evaluate the satisfaction degree of the device dynamic adjustment on the dissolved oxygen demand, conduct a matching analysis on the operation range and dynamic response parameters of the oxygen pump and the water temperature regulator, comprehensively calculate the overall matching coefficient, and generate a regulating device matching coefficient.

[0175] Construct a matching matrix of the device dynamic response through the real-time operation parameters of the device and the coverage data of the dissolved oxygen demand interval, calculate the average coverage rate through the correlation degree between the dissolved oxygen demand and the device frequency in the matrix, and use the formula , where is the average matching coefficient, is the dissolved oxygen coverage rate of the th device operation state, is the total number of device operations. Combine the average coverage rate to normalize the overall matching coefficient, verify the relevance between the device operation state and the demand interval through a matching analysis model, combine the coverage state of the oxygen pump with the dissolved oxygen demand matrix, and judge whether the operation demand is met under the dynamic operation state. Generate a dynamic operation matching model through optimization analysis and generate a regulating device matching coefficient.

[0176] Please refer to Figure 6 , and the specific steps for obtaining the emergency adjustment value of the aquaculture environment are as follows:

[0177] Based on the regulating device matching coefficient, monitor the real-time fluctuation data of the dissolved oxygen content and ammonia nitrogen concentration in the water body, conduct a quantitative analysis on the fluctuation characteristics of the dissolved oxygen content and ammonia nitrogen concentration, extract the abnormal change range of the dissolved oxygen content and ammonia nitrogen concentration, screen the key intervals of abnormal fluctuations, and generate the abnormal fluctuation characteristic values of the dissolved oxygen content and ammonia nitrogen concentration;

[0178] Perform a segment-by-segment analysis based on the time series of fluctuation data, calculate the difference of the fluctuation values to identify continuous change characteristics, extract the maximum fluctuation amplitudes of dissolved oxygen and ammonia nitrogen concentrations from the difference results, and determine the abnormal intervals by setting a fluctuation threshold. The fluctuation threshold can be obtained by calculating the average value and standard deviation of historical fluctuations, using the formula: Where is the historical average value of the fluctuation value, is the standard deviation of the fluctuation value. Filter out the data in the abnormal intervals that exceed the threshold according to the calculated threshold, classify the data by time period and extract the corresponding maximum and minimum fluctuation values, record the time points and corresponding values at which abnormal fluctuations occur, and judge whether the dissolved oxygen and ammonia nitrogen concentrations are abnormal simultaneously in the same time period by combining the time dimension. Further extract the relevant data by matching the overlapping parts of the abnormal intervals, and summarize the abnormal fluctuation characteristic values of dissolved oxygen and ammonia nitrogen concentrations.

[0179] Combined with the abnormal fluctuation characteristic values of dissolved oxygen and ammonia nitrogen concentrations, analyze the influence of abnormal water temperature changes on the output frequency of the oxygen pump, calculate the matching relationship between water temperature changes and the output of the oxygen pump, using the formula:

[0180] ;

[0181] Calculate the sensitivity of the oxygen pump response frequency to water temperature changes, and generate the matching relationship between the oxygen pump and abnormal water temperature;

[0182] Among them, represents the oxygen pump response frequency, represents the change range of water temperature, is the adjustment coefficient of water temperature to the oxygen pump response frequency, represents the real-time dissolved oxygen, is the target dissolved oxygen, is the dissolved oxygen compensation parameter, which is used to smooth the change range of oxygen pump frequency adjustment;

[0183] Formula:

[0184] ;

[0185] The benefit of the formula is that by introducing and these two adjustment parameters, the oxygen pump response frequency is dynamically adjusted, enabling it to smooth the influence of dissolved oxygen fluctuations while responding to water temperature changes in real time, improving the calculation flexibility and adaptability of the model;

[0186] Detailed explanation of the formula and the derivation process of formula calculation:

[0187] Among them represents the range of water temperature change, and its value is calculated by taking the difference of the real-time data recorded by the water temperature sensor every second. For example, if the water temperature was 22.5°C at the previous moment and 24.0°C at the next moment, then ; is the adjustment coefficient for the frequency response sensitivity of the oxygen pump to water temperature. The adjustment coefficient is calculated based on the response amplitude of the frequency to water temperature fluctuations in the historical operation data of the device. For example, if in the historical records, when the water temperature rises by 1°C, the oxygen pump frequency increases by an average of 2Hz, then set ; is the real-time dissolved oxygen content, and the current value is recorded by the dissolved oxygen sensor. For example, the current detected value is 5.8mg / L, is the target dissolved oxygen content, which is set to 6.5mg / L according to the requirements of the aquaculture environment; is the compensation parameter for the change of the dissolved oxygen content with respect to the pump frequency, which is used to smooth the relationship between the dissolved oxygen content and the pump frequency change. Its value is calculated based on the historical dissolved oxygen fluctuation range. For example, if the compensation range is 0.5, then ;

[0188] After substituting the parameters, the calculation is as follows:

[0189] ;

[0190] ;

[0191] ;

[0192] ;

[0193] ;

[0194] The result shows that the frequency response of the oxygen pump is 2.74Hz, indicating that the dynamic adjustment response frequency of the oxygen pump caused by water temperature change reaches a certain sensitivity, and it is adjusted through the compensation term in combination with the dissolved oxygen fluctuation value to generate the matching relationship between the oxygen pump and abnormal water temperature.

[0195] Based on the matching relationship between the oxygen pump and abnormal water temperature, adjust the linkage settings of the aeration equipment and the cooling equipment, set the response levels and operation ranges of multiple devices, optimize the operation ranges and operation parameters of the devices, and dynamically adjust the device operation mode in combination with water temperature and dissolved oxygen to generate the device linkage setting parameters;

[0196] First, set the device response level and operating range to a sensitive interval that matches the water temperature and dissolved oxygen content. For example, divide the response threshold range of the water temperature control device into continuous intervals, set different response levels within each interval, calculate its adaptive response by combining the real-time monitoring data of the oxygen pump operation frequency, screen the high-frequency operation characteristics within the operation range of the oxygen pump through the dissolved oxygen fluctuation interval. At the same time, adjust the cooling capacity and start-up frequency of the cooling device in segments, dynamically optimize the operation mode by combining the load capacity of the device and the dissolved oxygen demand in the current environment, record the operation characteristic data according to the parameters after the linkage adjustment of each device, and generate the device linkage setting parameters.

[0197] Combined with the device linkage setting parameters, reallocate the output of the aeration and cooling devices, analyze the response effect of the device output on the abnormal fluctuation of water quality, perform hierarchical response processing on the dynamic adjustment of water quality according to the device output, and generate the emergency adjustment value for the aquaculture environment.

[0198] Calculate the adjustment requirements of the device according to the change range of the dissolved oxygen and ammonia nitrogen concentration in the water body. Through further analysis of the water quality fluctuation interval, adjust the output efficiency of the aeration device according to the different environmental stratifications of the water body, set the output of the low dissolved oxygen layer to a high priority, and at the same time implement key cooling adjustment for the high ammonia nitrogen concentration layer. Record its operation status based on the dynamic adjustment of the device, comprehensively analyze the adjustment status of the environment by combining the real-time monitoring data of the water body, hierarchically optimize the response measures for the abnormal fluctuations in the aquaculture environment, and generate the emergency adjustment value for the aquaculture environment.

[0199] The above is only the preferred embodiment of the present invention, and does not limit the present invention in other forms. Any person skilled in the art may use the disclosed technical content to make changes or modifications into equivalent embodiments with equivalent changes and apply them to other fields. However, as long as it does not depart from the technical solution content of the present invention, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims

1. An intelligent environment monitoring and regulating system for Hemibarbus labeo farming, characterized in that, The system includes: The environmental parameter monitoring module groups the real-time data of multiple water body parameters in the aquaculture pond by time period based on the aquaculture water temperature, ammonia nitrogen concentration, dissolved oxygen content in water, and pH value, calculates the volatility of water temperature, dissolved oxygen content, and pH value, identifies the mutual relationship between the changes in ammonia nitrogen concentration and dissolved oxygen content, establishes a fluctuation trend curve based on the correlation values between water quality parameters, and generates an environmental fluctuation trend value; The specific steps for obtaining the environmental fluctuation trend value are as follows: Based on the real-time data of the aquaculture pond, extract the continuous monitoring values of water temperature and dissolved oxygen content in water. Calculate the instantaneous change rate of water temperature for the continuous monitoring values of water temperature, use the difference method to calculate the change values between adjacent time points and summarize them into a set of change rates. At the same time, use the same difference method to calculate the instantaneous change rate for the continuous monitoring values of dissolved oxygen content and generate a set of dissolved oxygen change rates, and integrate them into a set of change rates of water temperature and dissolved oxygen content; Perform segmented operations based on the set of change rates of water temperature and dissolved oxygen content, calculate the standard deviation and fluctuation coefficient in combination with the set of change rates for each segment, using the formula: ； Generate the volatility of water temperature and dissolved oxygen content for each segment; Among them, represents the volatility of the i-th segment, represents the water temperature change rate at the j-th moment in the i-th segment, represents the average value of the water temperature change rate of the i-th segment, represents the number of data points in the i-th segment, represents the dissolved oxygen change rate at the j-th moment in the i-th segment, represents the influence weight parameter of dissolved oxygen on volatility, and the weight parameter adjusts the contribution of the dissolved oxygen change rate to volatility; Based on the volatility of water temperature and dissolved oxygen content, in combination with water quality correlation conditions, by setting the threshold for the change in ammonia nitrogen concentration and the range of pH value change, group the set of volatility values by time period, form a fluctuation trend by accumulating the volatility values within the time period, fit each segment of the fluctuation trend with a smooth curve, and generate a fluctuation trend curve; Through the fluctuation trend curve, in combination with the monitoring data of the changes in ammonia nitrogen concentration and pH value, extract the significant nodes of the time series change in the fluctuation trend curve, analyze the change correlation between water temperature, dissolved oxygen content, and ammonia nitrogen concentration, and at the same time extract the significant change characteristics of water quality parameters in the corresponding time period, and generate an environmental fluctuation trend value; The multi-variable linkage calculation module calculates the influence relationship between water temperature and dissolved oxygen content based on the environmental fluctuation trend value, records the pH value change caused by ammonia nitrogen concentration, analyzes the correlation between dissolved oxygen content and water temperature, calculates the interaction dynamics between different parameters, and generates a linkage characteristic value of the aquaculture water body; The specific steps for obtaining the linkage characteristic value of the aquaculture water body are as follows: According to the environmental fluctuation trend value, extract the data of water temperature, dissolved oxygen content, ammonia nitrogen concentration, and pH value, perform normalization processing on the extracted data, adjust the values of each parameter to the same numerical range through the normalization formula, ensure the comparability of the values between different parameters, and generate a set of normalized water quality parameters; Using the set of normalized water quality parameters, calculate the correlation coefficients between water temperature and dissolved oxygen content and between ammonia nitrogen concentration and pH value, using the formula: ； Perform the calculation to obtain the correlation results between water temperature and dissolved oxygen content and between ammonia nitrogen concentration and pH value, and generate correlation coefficients; Among them, represents the correlation coefficient between variables x and y, represents a single value of water temperature or ammonia nitrogen concentration, represents a single value of dissolved oxygen or pH value, represents the average value of water temperature or ammonia nitrogen concentration, represents the average value of dissolved oxygen or pH value, and the summation symbol indicates the summation over all data points; Based on the correlation coefficients, analyze the interaction dynamics between water temperature and dissolved oxygen content, and between ammonia nitrogen concentration and pH value, determine the significance of the parameter interaction relationship by calculating the correlation comparison value, construct a multiple linear model, and analyze the contribution degree of each parameter to the interaction dynamics, and generate an interaction dynamics analysis result; Based on the interactive dynamic analysis results, the linkage characteristics of water temperature, dissolved oxygen, ammonia nitrogen concentration and pH value are extracted, the contribution of differentiated parameters is integrated, and the comprehensive results are calculated by adjusting the parameter weights to generate the linkage characteristic value of the aquaculture water body; The adaptive adjustment module monitors the real-time operation data of the oxygen pump frequency and the water temperature regulator based on the linkage characteristic value of the aquaculture water body, calculates the matching degree between the oxygen pump frequency and the water temperature regulation, adjusts the setting of the temperature control device in response to the ammonia nitrogen concentration, and generates a dynamic adjustment parameter value of the device; The fuzzy logic control module performs a matching check on the oxygen pump operation level and the dissolved oxygen range based on the dynamic adjustment parameter value of the equipment, adjusts the water temperature adjustment range to match the change in ammonia nitrogen concentration, resets the equipment response level and operation range, and generates a matching coefficient for the adjustment equipment; The abnormal emergency response module monitors the abnormal fluctuations of dissolved oxygen and ammonia nitrogen concentration in the water body based on the matching coefficient of the regulating equipment, calculates the relationship between abnormal water temperature changes and the output of the oxygen pump, adjusts the linkage settings of the oxygenation equipment and the cooling equipment, and reallocates the emergency adjustment value of the aquaculture environment according to the equipment output.

2. The intelligent environment monitoring and regulation system for Hemibarbus labeo farming according to claim 1, wherein The environmental fluctuation trend value specifically includes the water temperature fluctuation rate, dissolved oxygen fluctuation rate, pH value fluctuation rate, and correlation of ammonia nitrogen concentration changes. The aquaculture water body linkage characteristic value includes the influence relationship between water temperature and dissolved oxygen content, pH value changes caused by ammonia nitrogen concentration, correlation between dissolved oxygen content and water temperature, and dynamic interaction of differentiated parameters. The equipment dynamic adjustment parameter value specifically refers to the matching degree between oxygen pump frequency and water temperature adjustment, and the temperature control equipment response to ammonia nitrogen setting. The adjustment equipment matching coefficient specifically includes the matching of oxygen pump operation level and dissolved oxygen range, the matching of water temperature adjustment range and ammonia nitrogen concentration change, and the equipment response level and operating range setting. The aquaculture environment emergency adjustment value includes the relationship between abnormal water temperature change and oxygen pump output, and the linkage setting of oxygenation equipment and cooling equipment.

3. The intelligent environment monitoring and regulating system for Hemibarbus labeo culture according to claim 2, wherein The steps for obtaining the device dynamic adjustment parameter value are specifically as follows: Based on the linkage characteristic value of the aquaculture water body, the real-time operation data of the oxygen pump frequency and the water temperature regulator are monitored simultaneously, and recorded and archived in time series, the change trend of the equipment operation frequency is extracted, and a real-time equipment operation data set is generated; Based on the real-time equipment operation data set, the matching degree between the oxygen pump frequency and the water temperature regulator operation is calculated using the formula: ； Generate the matching analysis results of oxygen pump and water temperature regulator; Among them, represents the matching degree, indicating the coordination degree of the operating frequencies of two devices, represents the operating frequency data of the oxygen pump for the th time, represents the operating frequency data of the water temperature regulator for the th time, represents the total number of records in the time series; Analyze the matching analysis results of the oxygen pump and the water temperature regulator to determine whether the coordination of equipment operation meets the standard, and dynamically adjust the response sensitivity of the temperature control device to the ammonia nitrogen concentration, reset the temperature adjustment range and adjustment threshold of the temperature control device, and generate an optimized temperature control device setting; The optimized temperature control equipment setting is applied to the real-time operation of the equipment, the ammonia nitrogen concentration response results of the equipment operation are monitored, and the dynamic adjustment parameters and water quality status of the equipment operation are recorded and analyzed. The parameter configuration is adjusted in combination with the actual operation of the equipment to generate the dynamic adjustment parameter value of the equipment.

4. The intelligent environment monitoring and regulation system for Hemibarbus labeo farming according to claim 3, wherein, The steps for obtaining the matching coefficient of the adjustment device are specifically as follows: Dynamically adjust the parameter values according to the device, monitor the real-time data of the operation level of the oxygen pump and the dissolved oxygen range, conduct a corresponding matching analysis on the frequency of the operation level of the oxygen pump and the dissolved oxygen range, analyze the coverage rate and adaptability of multiple operation levels to the dissolved oxygen range, extract the correlation characteristics between the operation level of the oxygen pump and the dissolved oxygen range, and generate the matching analysis result of the oxygen pump and the dissolved oxygen range; Based on the matching analysis result of the oxygen pump and the dissolved oxygen range, adjust the adjustment range of the water temperature regulator in combination with the change range of the ammonia nitrogen concentration, calculate the optimal water temperature adjustment range, and use the formula: ； Adjust the water temperature adjustment range to match the operation state of the oxygen pump and the dissolved oxygen level, and generate the adjusted water temperature adjustment range; Among them, represents the adjusted water temperature adjustment range, is the basic water temperature setting, is the adjustment sensitivity coefficient, is the change amount of ammonia nitrogen concentration, representing the absolute value of the change in ammonia nitrogen concentration, is the compensation coefficient of ammonia nitrogen concentration for the adjustment sensitivity, used to smooth the influence of the change range on the water temperature adjustment; Use the adjusted water temperature adjustment range to reset the device response levels of the oxygen pump and the water temperature regulator, optimize the operation ranges and adjustment thresholds of the oxygen pump and the water temperature regulator, and at the same time determine the device response efficiency based on the coverage of the operation level to the dissolved oxygen range, and generate the optimized device response levels; Combined with the optimized device response levels and the water temperature adjustment range, evaluate the satisfaction degree of the device dynamic adjustment to the dissolved oxygen demand, conduct a matching analysis on the operation ranges and dynamic response parameters of the oxygen pump and the water temperature regulator, and comprehensively calculate the overall matching coefficient to generate the adjustment device matching coefficient.

5. The intelligent environment monitoring and regulation system for Hemibarbus labeo farming according to claim 4, wherein, The specific steps for obtaining the emergency adjustment value of the aquaculture environment are as follows: Based on the adjustment device matching coefficient, monitor the real-time fluctuation data of the dissolved oxygen content and ammonia nitrogen concentration in the water body, conduct a quantitative analysis on the fluctuation characteristics of the dissolved oxygen content and ammonia nitrogen concentration, extract the abnormal change ranges of the dissolved oxygen content and ammonia nitrogen concentration, screen the key intervals of abnormal fluctuations, and generate the abnormal fluctuation characteristic values of the dissolved oxygen content and ammonia nitrogen concentration; Combined with the abnormal fluctuation characteristic values of the dissolved oxygen content and ammonia nitrogen concentration, analyze the influence of abnormal water temperature changes on the output frequency of the oxygen pump, calculate the matching relationship between the water temperature change and the output of the oxygen pump, and use the formula: ； Calculate the sensitivity of the oxygen pump response frequency to water temperature changes, and generate the matching relationship between the oxygen pump and water temperature anomalies; Among them, represents the response frequency of the oxygen pump, indicates the change range of the water temperature, is the adjustment coefficient of the water temperature to the response frequency of the oxygen pump, represents the real-time dissolved oxygen content, is the target dissolved oxygen content, is the dissolved oxygen compensation parameter, which is used to smooth the change range of the oxygen pump frequency adjustment; Based on the matching relationship between the oxygen pump and water temperature anomalies, adjust the linkage settings of the aeration equipment and the cooling equipment, set the response levels and operation ranges of multiple devices, optimize the operation ranges and operation parameters of the devices, and dynamically adjust the device operation mode in combination with the water temperature and dissolved oxygen to generate the device linkage setting parameters; Combined with the device linkage setting parameters, reallocate the output amounts of the aeration and cooling equipment, analyze the response effects of the device output amounts on the abnormal fluctuations of the water quality, and conduct a hierarchical response process for the dynamic adjustment of the water quality according to the device output to generate the emergency adjustment value of the aquaculture environment.

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