Intelligent environment monitoring and adjusting system for lip fish culture

Abstract

The invention relates to the technical field of process control, in particular to an intelligent environment monitoring and adjusting system for lip fish culture, which comprises an environment parameter monitoring module, a multivariable linkage calculation module, a self-adaptive adjusting module, a fuzzy logic control module and an abnormity emergency response module. According to the method, the trend value is formed through time-phased grouping analysis and relevance calculation of the water quality parameters, dynamic prediction of the breeding environment change is achieved, the cooperative adjustment capacity among the dissolved oxygen, the water temperature and the ammonia nitrogen concentration is optimized through analysis of the multi-parameter linkage relation, the accuracy of environment control is improved, and the method is suitable for large-scale popularization and application. The cooperation efficiency of oxygen pump frequency and temperature control equipment response is improved through real-time matching calculation of equipment operation parameters, the rapid adaptive capacity to water quality changes is enhanced, abnormal fluctuation monitoring is combined with equipment linkage adjustment, rapid response during water quality sudden change is ensured, and the adverse effect of environment fluctuation on fish growth is reduced.

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 solution: An intelligent environment monitoring and regulating system for Hemibarbus labeo culture includes: 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 and dissolved oxygen content, 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 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 differential parameters, and generates a linkage characteristic value of the culture water body; 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; 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 in ammonia nitrogen concentration, resets the device response level and operation range, and generates a regulation device matching coefficient; The abnormal emergency response module monitors the abnormal fluctuations of dissolved oxygen content and ammonia nitrogen concentration in the water body based on the regulation device matching coefficient, calculates the relationship between abnormal water temperature change and oxygen pump output, 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.

[0007] The environmental fluctuation trend value specifically includes water temperature volatility rate, dissolved oxygen content volatility rate, pH value volatility rate, and the 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, the pH value change caused by ammonia nitrogen concentration, the correlation between dissolved oxygen content and water temperature, and the interaction dynamics of different differential parameters; the device dynamic regulation parameter value specifically refers to the matching degree between the oxygen pump frequency and water temperature regulation, and the response of the temperature control device to ammonia nitrogen setting; the regulation device matching coefficient specifically includes the matching between the operation level of the oxygen pump and the dissolved oxygen interval, 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 abnormal water temperature change and oxygen pump output, and the linkage setting of the oxygenation device and the cooling device.

[0008] As a further solution of the present invention, 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 in the water body. Calculate the instantaneous change rate of the water temperature for the continuous monitoring values of the 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 and generate a set of dissolved oxygen change rates, and integrate them into a set of change rates of water temperature and dissolved oxygen; Perform segmented operations based on the set of change rates of water temperature and dissolved oxygen, 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 for each segment; Wherein, represents the volatility of the i-th segment, represents the change rate of water temperature at the j-th moment in the i-th segment, represents the average value of the change rate of water temperature in the i-th segment, represents the number of data points in the i-th segment, represents the change rate of dissolved oxygen 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 change rate of dissolved oxygen to volatility; Based on the volatility of water temperature and dissolved oxygen, in combination with water quality correlation conditions, by setting the threshold of ammonia nitrogen concentration change and the range of pH value change, group the set of volatility according to time periods, form a fluctuation trend by accumulating the volatility values within the time periods, 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 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 between water temperature, dissolved oxygen 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.

[0009] As a further solution of the present invention, the steps for obtaining the aquaculture water body linkage characteristic value are specifically as follows: According to the environmental fluctuation trend value, extract the data of water temperature, dissolved oxygen, ammonia nitrogen concentration and pH value, perform normalization processing on the extracted data, adjust the value 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 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 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 means summing over all data points; Based on the correlation coefficient, analyze the interaction dynamics between water temperature and dissolved oxygen, 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, analyze the contribution degree of each parameter to the interaction dynamics, and generate the interaction dynamics analysis result; Based on the comprehensive interaction dynamics analysis result, extract the linkage characteristics of water temperature, dissolved oxygen, 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.

[0010] As a further solution of the present invention, 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, simultaneously monitor the real-time operation data of the oxygen pump frequency and the water temperature regulator, record and file them according to the time series, extract the change trend of the device operation frequency, and generate a real-time device operation data set; According to the real-time device operation data set, calculate the matching degree of the oxygen pump frequency and the operation of the water temperature regulator, using the formula: ; Generate the matching degree analysis result of the oxygen pump and the water temperature regulator; Among them, represents the matching degree, indicating the coordination degree of the operation frequencies of the two devices, represents the th operation frequency data of the oxygen pump, represents the th operation frequency data of the water temperature regulator, represents the total number of records in the time series; 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; Apply the optimized temperature control device to the real-time operation of the device, monitor the ammonia nitrogen concentration response results during the device operation, record and analyze the dynamic adjustment parameters and water quality status of the device operation at the same time, adjust the parameter configuration according to the actual operation situation of the device, and generate the device dynamic adjustment parameter value.

[0011] As a further solution of the present invention, the specific steps for obtaining the matching coefficient of the adjustment device are as follows: According to the device dynamic adjustment parameter value, 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 of the oxygen pump and the dissolved oxygen interval; 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: ; 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 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; 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 interval, and generate the optimized device response level; Combined with the optimized device response level and 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.

[0012] As a further solution of the present invention, the specific steps for obtaining the emergency adjustment value of the breeding environment are as follows: Based on the matching coefficient of the adjustment device, 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 range of the dissolved oxygen content and ammonia nitrogen concentration, screen the key intervals of abnormal fluctuations, and generate the characteristic values of abnormal fluctuations of the dissolved oxygen content and ammonia nitrogen concentration; Combined with the characteristic values of abnormal fluctuations of the dissolved oxygen content and ammonia nitrogen concentration, analyze the influence of abnormal changes in water temperature 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 the water temperature change, and generate the matching relationship between the oxygen pump and the abnormal water temperature; 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; Based on the matching relationship between the oxygen pump and the 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 the water temperature and dissolved oxygen to generate the device linkage setting parameters; Combined with the device linkage setting parameters, reallocate the output of the aeration and cooling equipment, analyze the response effect of the device output on the abnormal fluctuation of the water quality, and perform hierarchical response processing on the dynamic adjustment of the water quality according to the device output to generate the emergency adjustment value of the aquaculture environment.

[0013] Compared with the prior art, the advantages and positive effects of the present invention are as follows: 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 change of the aquaculture environment. The analysis of the multi-parameter linkage relationship optimizes the coordinated adjustment ability among the dissolved oxygen content, water temperature, and ammonia nitrogen concentration, and improves the accuracy of environmental control. The real-time matching calculation of the device operation parameters improves the coordinated efficiency of the oxygen pump frequency and the response of the temperature control device, and enhances the rapid adaptation ability to water quality changes. The abnormal fluctuation monitoring combined with the device linkage adjustment ensures a rapid response when the 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 adjustment are realized, the requirements of high-demand aquaculture scenarios are met, and the production efficiency and product quality are significantly improved. Brief Description of the Drawings

[0014] Figure 1 is the system flow chart of the present invention; Figure 2 It is a flowchart of the steps for obtaining the environmental fluctuation trend value of the present invention; Figure 3 It is a flowchart of the steps for obtaining the linkage characteristic value of the aquaculture water body of the present invention; Figure 4 It is a flowchart of the steps for obtaining the dynamic adjustment parameter value of the equipment of the present invention; Figure 5 It is a flowchart of the steps for obtaining the adjustment equipment matching coefficient of the present invention; Figure 6 It is a flowchart of the steps for obtaining the emergency adjustment value of the aquaculture environment of the present invention. Detailed implementation manners

[0015] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, 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.

[0016] 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 accompanying drawings, and 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 cannot be understood as a limitation of 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.

[0017] Embodiment 1: Please refer to Figure 1 , an intelligent environment monitoring and adjustment system for Hemibarbus labeo culture includes: 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 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 ammonia nitrogen concentration and the change of dissolved oxygen content, establishes a fluctuation trend curve based on the correlation value between water quality parameters, and generates an environmental fluctuation trend value; 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 the 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 parameters, and generates a 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 adjustment, adjusts the setting of the temperature control device's response to the ammonia nitrogen concentration, and generates the device dynamic adjustment parameter value; The fuzzy logic control module checks the matching between the operation level of the oxygen pump and the dissolved oxygen range based on the device dynamic adjustment parameter value, adjusts the water temperature adjustment range to match the change in ammonia nitrogen concentration, resets the device response level and operation range, and generates the adjustment device matching coefficient; The abnormal emergency response module monitors the abnormal fluctuations of the dissolved oxygen amount and ammonia nitrogen concentration in the water body based on the adjustment 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 reallocates the aquaculture environment emergency adjustment value according to the device output.

[0018] The environmental fluctuation trend value specifically refers to the water temperature volatility rate, dissolved oxygen volatility rate, pH value volatility rate, and the correlation of ammonia nitrogen concentration change. The linkage characteristic value of the aquaculture water body includes 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 value specifically refers to the matching degree between the oxygen pump frequency and the water temperature adjustment, and the setting of the temperature control device's response to ammonia nitrogen. The adjustment device matching coefficient specifically includes the matching between the operation level of the oxygen pump and the dissolved oxygen range, the matching between the water temperature adjustment range and the change in ammonia nitrogen concentration, and the setting of the device response level and operation range. The aquaculture environment emergency adjustment value 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.

[0019] Please refer to Figure 2 , and the steps for obtaining the environmental fluctuation trend value are specifically as follows: 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 the water temperature for the continuous monitoring values of the 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 for the continuous monitoring values of dissolved oxygen to calculate the instantaneous change rate and generate a dissolved oxygen change rate set, and integrate them into the change rate set of water temperature and dissolved oxygen; By calling the adjacent point values in the time series monitoring data and using the difference formula , where is the water temperature at the j-th 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 j-th 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.

[0020] Perform piecewise operations based on the set of change rates of water temperature and dissolved oxygen content, calculate the standard deviation and fluctuation coefficient by combining the set of change rates for each segment, and use 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 change rate of water temperature at the j-th moment in the i-th segment, represents the average value of the change rates of water temperature in the i-th segment, represents the number of data points in the i-th segment, represents the change rate of dissolved oxygen content at the j-th moment in the i-th segment, represents the influence weight parameter of dissolved oxygen content on volatility, and the weight parameter adjusts the contribution of the change rate of dissolved oxygen content to volatility; Formula: ; The advantage of the formula is that by introducing the change rate term of dissolved oxygen content 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 fluctuation analysis can be carried out by comprehensively considering the correlation between multiple parameters.

[0021] Detailed explanation of the formula and the derivation process of formula calculation: Obtained by calculating the differential formula of the instantaneous change rate of water temperature. Assume that the i-th segment contains 6 data points, The values are 1.5, 2.3, 2.1, 1.8, 2.0, 2.5 in sequence, and calculate as: ; Calculate as: ; Calculate the mean square deviation of water temperature fluctuation as ; Calculate the absolute change rate part of dissolved oxygen content ; Obtained by the differential formula of the change rate of dissolved oxygen content. Assume the values are 0.8, 1.2, 1.0, 1.1, 0.9, 1.3 in sequence, and calculate : ; Assume , then calculate as: ; Finally, calculate the volatility .

[0022] The result shows that the volatility value is 0.8995, representing the fluctuation level of water temperature and dissolved oxygen content within the ith period. The volatility obtained by comprehensively analyzing the change rates of water temperature and dissolved oxygen content is used as the basic data input for subsequent trend analysis.

[0023] Based on the volatility of water temperature and dissolved oxygen content, combined with the water quality correlation conditions, by setting the threshold of ammonia nitrogen concentration change and the range of pH value change, the volatility set is grouped according to time periods. The volatility values within the cumulative time periods are used to form a fluctuation trend, and each fluctuation trend is fitted with a smooth curve to generate a fluctuation trend curve; Call the volatility value of each period and use the cumulative formula , where is the fluctuation trend value of the ith period, is the volatility of the kth sub-period within the ith period, is the number of sub-periods in each period. The calculation results generate the fluctuation trend value of each period. Fit the fluctuation trend values of each period, and smooth the fluctuation trend through a polynomial regression model to generate a fluctuation trend curve.

[0024] 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 changes in the fluctuation trend curve, analyze the change correlations among water temperature, dissolved oxygen content and ammonia nitrogen concentration, and at the same time extract the significant change characteristics of water quality parameters corresponding to the time periods to generate the environmental fluctuation trend value.

[0025] Set the change threshold of ammonia nitrogen concentration as , and filter out the significant fluctuation segments by detecting that the ammonia nitrogen concentration meets the condition. Among them, 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 correlations among water temperature, dissolved oxygen content and ammonia nitrogen concentration, and combine with the corresponding fluctuation trend values within the time periods to generate the environmental fluctuation trend value.

[0026] Please refer to Figure 3 , and 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, and perform normalization processing on the extracted data. Adjust the values of each parameter to the same numerical range through the normalization formula to ensure the comparability of the values among different parameters, and generate a set of normalized water quality parameters; 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 the parameter, is the minimum value of the 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 a threshold of less than 0.01. Finally, the historical data of water temperature, dissolved oxygen, ammonia nitrogen concentration, and pH value after all normalization processes are integrated into a standardized water quality parameter set, generating a normalized water quality parameter set.

[0027] 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: ; 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; 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; Formula: ; The advantage of the formula is that by using the normalized water quality parameter set, the linear correlation between variables is calculated, and the strength of the association 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.

[0028] Detailed explanation of the formula and the derivation process of the formula calculation: In this example, the correlation between water temperature ( ) and dissolved oxygen ( ) is selected for calculation. The monitoring data is water temperature and dissolved oxygen . First, calculate the average values of and respectively: ; ; Then calculate the numerator part: ; ; Calculate the denominator part: ; ; ; Calculate the correlation coefficient: ; Generate the correlation coefficient.

[0029] The result shows 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. The numerical result will be used as an important parameter for subsequent analysis of interaction dynamics.

[0030] 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 the parameter interaction relationship 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; 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 relationship, analyze the influence of other parameters in the strong interaction relationship by constructing a multiple linear model. During the dynamic analysis process, the change values of each parameter in the interaction model are processed in stages, calculate the contribution degree of each parameter in the model in stages 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.

[0031] 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.

[0032] First, use the total value of the contribution degree distribution curve in the interaction dynamics analysis as the basis for setting the weighting coefficient. Take the normalized value of the total amount of each curve as the coefficient, and combine the linkage characteristic values of each parameter to perform weighted integration on the linkage characteristics of each water quality parameter. During the weighted calculation process, substitute all the normalized contribution degree values into the weighted average formula and calculate the linkage value of each parameter one by one. Generate the overall linkage characteristics of each water quality parameter by integration, and calculate the total linkage value between water quality parameters in combination with the overall linkage characteristics to generate the linkage characteristic value of the aquaculture water body.

[0033] Please refer to Figure 4 , and the specific steps for obtaining the device dynamic adjustment parameter value are as follows: Based on the linkage characteristic values of the aquaculture water body, simultaneously monitor the real-time operation data of the oxygen pump frequency and the water temperature regulator, record and archive them in time series, extract the change trend of the equipment operation frequency, and generate a set of real-time equipment operation data; Based on the analysis of the operation trends of various parameters from the data of the water body linkage characteristic values, split the monitored data into multiple intervals by time period. Using the average oxygen pump frequency and the operation value of the water temperature regulator in each time period as the basic calculation units, calculate the fluctuation value within the time period as the frequency standard deviation. Use the calculated standard deviation to evaluate the change trend of the equipment frequency. According to the evaluation, analyze the change characteristics of the operation parameters and the coordination of water temperature and oxygen supply within each time period. Based on all the archived frequency data and the operation values of the water temperature regulator, combine the real-time water temperature, ammonia nitrogen concentration, and the fluctuation values of dissolved oxygen in the water quality parameters to construct a linkage effect model. In the model, analyze the change characteristics of the data in each time period by calling the volatility formula, and generate archived data through the synchronization evaluation of the equipment operation data and the water quality change data, generating a set of real-time equipment operation data.

[0034] According to the set of real-time equipment operation data, calculate the matching degree between the oxygen pump frequency and the operation of the water temperature regulator, using the formula: ; Generate the analysis result of the matching degree between the oxygen pump and the water temperature regulator; Among them, represents the matching degree, indicating the coordination degree of the operation frequencies of the two devices, represents the th operation frequency data of the oxygen pump, represents the th operation frequency data of the water temperature regulator, represents the total number of records in the time series; Formula: ; The benefit of the formula is that by constructing the ratio of the difference between the equipment frequencies to their sum to calculate the relative matching degree of the equipment operation, and at the same time combining the total number of the time series to normalize the matching degree, it can dynamically reflect the coordination of different devices and provide a unified evaluation standard.

[0035] Detailed explanation of the formula and the derivation process of the formula calculation: Based on the obtained set of real-time equipment operation data, select the oxygen pump frequency and the operation frequency of the water temperature regulator. Assume the total time series , and substitute the following collected monitoring data into the calculation: , .

[0036] Step 1: Calculate the absolute difference of the numerator at each time point: ; Step 2: Calculate the sum of the denominators at each time point: ; Step 3: Calculate the ratio at each time point and sum them up: .

[0037] .

[0038] Step 4: Calculate the matching degree through normalization: .

[0039] The result shows that the device matching degree is 0.03506. The lower this value, the smaller the difference in the operating 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.

[0040] Analyze the matching degree analysis result of the oxygen pump and the water temperature regulator, judge whether the coordination of the device operation 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; Judge whether the coordination of the device operation meets the standard according to the matching degree result, extract the operating intervals with a matching degree lower than the threshold, conduct key analysis on the device frequency data within these operating intervals, conduct segmented evaluation on the fluctuation characteristics of the operating frequency, calculate the correlation degree between the device operating parameters and the water quality parameters by comparing the operating 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 operation of the water temperature regulator within a certain interval to eliminate the possibility of uncoordinated operation between devices, gradually adjust the response sensitivity of the temperature control device 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 device on the basis of the corrected device operating interval to generate an optimized temperature control device setting.

[0041] Apply the optimized temperature control device setting to the real-time operation of the device, monitor the response result of the ammonia nitrogen concentration during the device operation, record and analyze the dynamic adjustment parameters and water quality status of the device operation at the same time, and adjust the parameter configuration according to the actual operation situation of the device to generate the device dynamic adjustment parameter value.

[0042] Dynamically monitor the water temperature and oxygen pump frequency changes during operation, 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 results, 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 range according to the analysis results, and evaluate the system adjustment efficiency through the dynamic linkage model after the equipment adjustment to generate the equipment dynamic adjustment parameter value.

[0043] Please refer to Figure 5 , and the specific steps for obtaining the adjustment equipment matching coefficient are as follows: According to the equipment dynamic adjustment parameter value, 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 of the oxygen pump and the dissolved oxygen interval; By extracting the monitoring equipment operation data, including the frequency of the oxygen pump, the equipment operation time, and the distribution of dissolved oxygen level over time, summarize the dissolved oxygen coverage range at different frequencies, group and classify the dissolved oxygen coverage of different operation levels, calculate the distribution range of the dissolved oxygen interval at the operation level, and standardize the distribution range using the normalization formula for subsequent comparative analysis. Calculate according to the formula where represents the dissolved oxygen coverage rate of 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, judge the matching degree between the operation level and the dissolved oxygen interval at different oxygen pump frequencies, screen out the operation levels with relatively low coverage rates, and further analyze the coverage fluctuations of the low coverage rate levels under the change of ammonia nitrogen concentration. Classify the low coverage rate levels in combination with the interval value of ammonia nitrogen concentration, and adjust the operation levels with insufficient dissolved oxygen coverage rate by calculating the change of the coverage range in different time periods. Extract the correlation characteristics between the operation level of the oxygen pump and the dissolved oxygen interval through the above process to generate the matching analysis result of the oxygen pump and the dissolved oxygen interval.

[0044] 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 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 to 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 in 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 impact of the change range on water temperature adjustment; Formula: ; The benefit of the formula is that by introducing the compensation coefficient smooths the impact of ammonia nitrogen concentration changes on adjustment sensitivity, and at the same time reduces the fluctuation of large change values on the water temperature adjustment range through the square root function in the denominator, ensuring that the adjustment range is more stable and flexible; Detailed explanation of the formula and the derivation process of formula calculation: The basic water temperature set through the equipment manual is 25, represents the change in ammonia nitrogen concentration, which is monitored by the ammonia nitrogen sensor for the change in ammonia nitrogen concentration within a specified time interval (such as within 1 hour), and the sampled values are 0.6, 0.8, and 1.0 respectively. Using the formula Calculate to get , represents the adjustment sensitivity coefficient, which is dynamically set according to the equipment adjustment ability and historical operation data, and is inversely proportional to 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, and the average compensation value of 0.2 is obtained according to historical data statistics. Substitute it into the formula: ; Calculation process: ; ; ; This result shows that the adjusted value of the water temperature adjustment range is 25.6455, which is 0.6455 higher than the basic water temperature, and can maintain the sensitivity of water temperature adjustment when the ammonia nitrogen concentration changes slightly, generating the adjusted water temperature adjustment range.

[0045] Using the adjusted water temperature adjustment range, reset 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; 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 relatively low response level during device operation, calculate the optimized target value of the response level according to the dissolved oxygen interval coverage range, extract the abnormal fluctuations of the operation level using time series analysis, extract the 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 the optimized device response level through matching tests on the optimized operation level.

[0046] Combine the optimized device response level and the water temperature adjustment range to evaluate the satisfaction degree of the device dynamic adjustment to 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 the adjustment device matching coefficient.

[0047] 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, normalize the overall matching coefficient in combination with the average coverage rate, verify the relevance between the device operation state and the demand interval through the matching analysis model, combine the coverage state of the oxygen pump with the dissolved oxygen demand matrix, judge whether the operation demand is met under the dynamic operation state, and generate a dynamic operation matching model through optimization analysis to generate the adjustment device matching coefficient.

[0048] Please refer to Figure 6 , and 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 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; Perform 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 for 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. Use the formula: Where is the historical average value of the fluctuation value, is the standard deviation of the fluctuation value. Screen out the data in the abnormal intervals exceeding 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 when 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.

[0049] Combined with the abnormal fluctuation characteristic values of dissolved oxygen and ammonia nitrogen concentrations, analyze the impact 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, 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 abnormal water temperature; 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; Formula: ; 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 impact of dissolved oxygen fluctuations while responding to water temperature changes in real time, improving the calculation flexibility and adaptability of the model; Detailed explanation of the formula and the derivation process of formula calculation: Among them represents the change range of water temperature, 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 is 22.5°C at the previous moment and 24.0°C at the next moment, then ; is the adjustment coefficient for the sensitivity of the oxygen pump frequency response 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, for every 1°C increase in water temperature, 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 a 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 in the pump frequency due to the dissolved oxygen content, 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 content fluctuation range. For example, if the compensation range is 0.5, then ; After substituting the parameters, the calculation is as follows: ; ; ; ; ; This result shows that the oxygen pump frequency response is 2.74Hz, indicating that the dynamic adjustment response frequency of the oxygen pump caused by water temperature changes reaches a certain sensitivity, and is adjusted through the compensation term in combination with the dissolved oxygen content fluctuation value, generating a matching relationship between the oxygen pump and abnormal water temperature.

[0050] 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, generating device linkage setting parameters; First, set the device response levels and operation ranges to a sensitive interval matching 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 in combination with 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 content fluctuation interval, and at the same time adjust the cooling capacity and start frequency of the cooling equipment in segments, dynamically optimize the operation mode in combination with the load capacity of the device and the dissolved oxygen demand in the current environment, and record the operation characteristic data according to the parameters after the linkage adjustment of each device, generating device linkage setting parameters.

[0051] Combined with the device linkage setting parameters, reallocate the output of the aeration and cooling equipment, analyze the response effect of the device output on abnormal water quality fluctuations, and perform hierarchical response processing on the dynamic adjustment of water quality according to the device output, generating an emergency adjustment value for the aquaculture environment.

[0052] Calculate the adjustment requirements of the equipment according to the variation range of dissolved oxygen and ammonia nitrogen concentration in the water body. Through further analysis of the water quality fluctuation range, adjust the output efficiency of the aeration equipment according to different environmental stratifications of the water body. Set the output volume of the low dissolved oxygen layer as the high priority, and at the same time implement key cooling regulation for the high ammonia nitrogen concentration layer. Record its operating status based on the dynamic adjustment of the equipment, and comprehensively analyze the adjustment status of the environment in combination with the real-time monitoring data of the water body. Optimize the response measures for abnormal fluctuations in the aquaculture environment at different levels, and generate the emergency adjustment value for the aquaculture environment.

[0053] The above are only the preferred embodiments of the present invention, and do 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 belong to the protection scope of the technical solution of the present invention.

Claims

1. An intelligent environment monitoring and regulation system for lip mullet farming, characterized in that: The system comprises: The environmental parameter monitoring module groups the real-time data of multiple water parameters in the aquaculture pond by time period based on aquaculture water temperature, ammonia nitrogen concentration, dissolved oxygen content in water, and pH value, calculates the fluctuation rate of water temperature, dissolved oxygen content, and pH value, identifies the relationship between 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 multivariable 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 interactive dynamics between differentiated parameters, and generates linkage characteristic values ​​of aquaculture water bodies; 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 lip bream farming according to claim 1 is characterized in that: 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 regulation system for lip bream farming according to claim 2 is characterized in that: The steps for obtaining the environmental fluctuation trend value are specifically as follows: Based on the real-time data of the aquaculture pond, the continuous monitoring values ​​of water temperature and dissolved oxygen in the water body are extracted. The instantaneous change rate of water temperature is calculated for the continuous monitoring values ​​of water temperature. The difference method is used to calculate the change values ​​between adjacent time points and summarize them into a change rate set. At the same time, the same difference method is used to calculate the instantaneous change rate for the continuous monitoring values ​​of dissolved oxygen and generate a dissolved oxygen change rate set, which is integrated into a water temperature and dissolved oxygen change rate set. Based on the change rate set of water temperature and dissolved oxygen, segmented calculation is performed, and the standard deviation and fluctuation coefficient are calculated by combining the change rate set of each segment, using the formula: ； Generate the fluctuation rate of water temperature and dissolved oxygen in each section; in, represents the volatility of the i-th segment, represents the rate of change of water temperature at the jth moment in the i-th segment, represents the average value of the water temperature change rate in the i-th section, represents the number of data points in the i-th segment, represents the rate of change of dissolved oxygen at the jth moment in the i-th segment, Represents the weight parameter of the effect of dissolved oxygen on the volatility. The weight parameter adjusts the contribution of the dissolved oxygen change rate to the volatility. Based on the water temperature and dissolved oxygen fluctuation rate, combined with the water quality correlation conditions, by setting the threshold of ammonia nitrogen concentration change and the range of pH value change, the fluctuation rate set is grouped according to time periods, the fluctuation trend is formed by accumulating the fluctuation rate values ​​in the time period, and each fluctuation trend is fitted to smooth the curve to generate a fluctuation trend curve; Through the fluctuation trend curve, combined with the monitoring data of ammonia nitrogen concentration and pH value changes, the significant nodes of time series changes in the fluctuation trend curve are extracted, the correlation between water temperature, dissolved oxygen and ammonia nitrogen concentration changes is analyzed, and the significant change characteristics of water quality parameters in the corresponding time period are extracted to generate the environmental fluctuation trend value.

4. The intelligent environment monitoring and regulation system for lip bream farming according to claim 3 is characterized in that: The steps for obtaining the linkage characteristic value of the aquaculture water body are specifically as follows: According to the environmental fluctuation trend value, data on water temperature, dissolved oxygen, ammonia nitrogen concentration and pH value are extracted, and the extracted data are normalized, and the value of each parameter is adjusted to the same numerical range through a normalization formula to ensure that the values ​​between the differentiated parameters are comparable, thereby generating a normalized water quality parameter set; 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: ； 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; 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; 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; 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.

5. The intelligent environment monitoring and regulation system for lip bream farming according to claim 4 is characterized in that: 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; 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; 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.

6. The intelligent environment monitoring and regulation system for lip bream farming according to claim 5 is characterized in that: The steps for obtaining the matching coefficient of the adjustment device are specifically as follows: According to the dynamic adjustment parameter value of the equipment, the real-time data of the operation level of the oxygen pump and the dissolved oxygen range are monitored, the frequency of the operation level of the oxygen pump and the dissolved oxygen range are analyzed for corresponding matching, the coverage and adaptability of multiple operation levels to the dissolved oxygen range are analyzed, the correlation characteristics of the operation level of the oxygen pump and the dissolved oxygen range are extracted, and the matching analysis results of the oxygen pump and the dissolved oxygen range are generated; Based on the matching analysis results of the oxygen pump and the dissolved oxygen range, the adjustment range of the water temperature regulator is adjusted in combination with the variation range of ammonia nitrogen concentration, and the optimal water temperature adjustment range is calculated using the formula: ； Adjust the water temperature regulation range to match the operating status of the oxygen pump and the dissolved oxygen level to generate an adjusted water temperature regulation range; in, Represents the adjusted water temperature regulation range, For basic water temperature setting, To adjust the sensitivity coefficient, is the change in ammonia nitrogen concentration, indicating the absolute value of the change in ammonia nitrogen concentration. is the compensation coefficient of ammonia nitrogen concentration to the adjustment sensitivity, which is used to smooth the influence of the change range on the water temperature adjustment; Using the adjusted water temperature adjustment range, resetting the equipment response level of the oxygen pump and the water temperature regulator, optimizing the operating range and adjustment threshold of the oxygen pump and the water temperature regulator, and determining the equipment response efficiency based on the coverage of the dissolved oxygen range by the operating level, generating an optimized equipment response level; Combined with the optimized equipment response level and water temperature adjustment range, the degree to which the equipment dynamic adjustment meets the dissolved oxygen demand is evaluated, the matching analysis of the operating range and dynamic response parameters of the oxygen pump and water temperature regulator is performed, the overall matching coefficient is comprehensively calculated, and the matching coefficient of the adjustment equipment is generated.

7. The intelligent environment monitoring and regulation system for lip bream farming according to claim 6 is characterized in that: The steps for obtaining the emergency adjustment value of the breeding environment are specifically as follows: Based on the matching coefficient of the regulating equipment, the real-time fluctuation data of the dissolved oxygen and ammonia nitrogen concentration in the water body are monitored, the fluctuation characteristics of the dissolved oxygen and ammonia nitrogen concentration are quantitatively analyzed, the abnormal variation range of the dissolved oxygen and ammonia nitrogen concentration is extracted, the key interval of the abnormal fluctuation is screened, and the abnormal fluctuation characteristic values ​​of the dissolved oxygen and ammonia nitrogen concentration are generated; Combined with the abnormal fluctuation characteristic values ​​of dissolved oxygen and ammonia nitrogen concentration, the influence of abnormal water temperature change on the output frequency of the oxygen pump is analyzed, and the matching relationship between water temperature change and oxygen pump output is calculated using 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; in, Represents the oxygen pump response frequency, Indicates the change in water temperature. is the adjustment coefficient of water temperature on the response frequency of the oxygen pump, Indicates real-time dissolved oxygen content. is the target dissolved oxygen content, It is the dissolved oxygen compensation parameter, which is used to smooth the variation range of oxygen pump frequency adjustment; Based on the matching relationship between the oxygen pump and the abnormal water temperature, the linkage setting of the oxygen enrichment equipment and the cooling equipment is adjusted, the response level and operation range of multiple equipment are set, the equipment operation range and operation parameters are optimized, the equipment operation mode is adjusted dynamically in combination with the water temperature and dissolved oxygen, and the equipment linkage setting parameters are generated; Combined with the equipment linkage setting parameters, the output of the oxygenation and cooling equipment is reallocated, the response effect of the equipment output to the abnormal fluctuation of water quality is analyzed, and the water quality is dynamically adjusted according to the equipment output. The emergency adjustment value of the aquaculture environment is generated.

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