Efficient water resource circulation purification intelligent control system and method for fish-rice symbiotic system

Abstract

The invention discloses an efficient water resource circulation purification intelligent control system and method for a fish-rice symbiotic system. The system comprises a water circulation system, a purification device, a water quality monitoring unit, a data processing unit, a control execution unit and a communication interface, wherein the water quality monitoring unit is used for monitoring water quality monitoring data of dissolved oxygen, pH value and ammonia nitrogen content in a water body in real time; the control execution unit is used for controlling operation control parameters of a water circulation pump in the water circulation system according to the processed water quality monitoring data; the water circulation system is used for realizing circular flow of water; the purification device is used for carrying out biological and physical purification on the water body; according to the efficient water resource circulation purification intelligent control system and method for the fish-rice symbiotic system, the aeration rate of the pump can be dynamically adjusted according to the real-time dissolved oxygen concentration and water temperature, it is ensured that the water quality parameter is always kept within the set ideal range, and the overall purification efficiency of the fish-rice symbiotic system is guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of ecological agriculture, and in particular to a highly efficient water resource circulation purification intelligent control system and method for a fish-rice symbiotic system. Background Art

[0002] The fish-rice symbiotic system is an agricultural production model that combines rice cultivation with fish farming. It realizes efficient resource utilization and optimized ecological environment through the rational allocation of water circulation and breeding activities. In this system, rice fields not only provide a growth environment for fish, but also the excrement and organic waste of fish can be used as fertilizer for rice, forming a closed ecological cycle.

[0003] However, with the scale-up of fish-rice symbiosis systems, efficient recycling of water resources and continuous purification of water quality have become key factors for the stable operation of the system. Existing fish-rice symbiosis systems generally use traditional water resource circulation methods, mainly relying on mechanical pumps and timing control equipment to circulate water. These systems often have the following major problems:

[0004] The first aspect: water quality monitoring is not timely or comprehensive: Water quality monitoring in traditional systems mostly relies on manual sampling and periodic testing, resulting in the inability to reflect water quality changes in real time, making it difficult to respond to sudden abnormal water quality conditions in a timely manner.

[0005] Second aspect: Lack of intelligent circulation control: Existing water circulation pumps usually use fixed operating parameters, such as constant pump speed and flow rate, and cannot be dynamically adjusted according to the actual needs of water quality, resulting in energy waste and poor water quality control effect. Traditional purification devices are mostly operated in manual or preset modes, lacking intelligent control strategies, and it is difficult to automatically adjust the working status of each purification module according to changes in water quality, affecting the overall purification efficiency. Summary of the invention

[0006] The purpose of the present invention is to provide a highly efficient water resource circulation purification intelligent control system and method for a fish-rice symbiotic system, which solves the above-mentioned technical problems pointed out in the prior art.

[0007] The present invention provides a highly efficient water resource circulation purification intelligent control system for a fish-rice symbiotic system, comprising a water circulation system, a purification device, a water quality monitoring unit, a data processing unit, a control execution unit and a communication interface:

[0008] Water quality monitoring unit, used to monitor the water quality monitoring data of dissolved oxygen, pH value and ammonia nitrogen content in water in real time;

[0009] A data processing unit, connected to the water quality monitoring unit, for receiving and processing water quality monitoring data;

[0010] A control execution unit, connected to the data processing unit, for controlling the operation control parameters of a water circulation pump in the water circulation system according to the processed water quality monitoring data;

[0011] A water circulation system, connected to the control execution unit, for realizing the circulation of water; the water circulation system comprises a water circulation pump;

[0012] A purification device, connected to the water circulation system, for biological and physical purification of water;

[0013] A communication interface is connected to the data processing unit and is used to exchange data with an external device or a cloud platform.

[0014] Preferably, as an implementable embodiment, the data processing unit further comprises:

[0015] A data preprocessing module, used for filtering and normalizing the water quality monitoring data monitored by the water quality monitoring unit;

[0016] A feature extraction module is used to extract characteristic values ​​of water quality parameters from the pre-processed water quality monitoring data;

[0017] The anomaly detection module is used to identify the characteristic values ​​of water quality parameters and mark the abnormal information in the water quality parameters.

[0018] Preferably, as an implementable solution, the abnormal information includes abnormal dissolved oxygen (DO) information, abnormal pH value information, abnormal ammonia nitrogen content information and abnormal temperature information.

[0019] Abnormal dissolved oxygen (DO): Dissolved oxygen (DO) is too low: The dissolved oxygen content is lower than the appropriate range, which may cause fish to suffocate, slow growth, and reduce the efficiency of microbial decomposition of organic matter. Dissolved oxygen (DO) is too high: Although it is rare, too high dissolved oxygen may affect the activities of some anaerobic microorganisms and disrupt the ecological balance of the water body.

[0020] Abnormal pH value: too acidic or too alkaline: The pH value deviates from the neutral range (usually 6.5-8.5), which may have an adverse effect on the growth of fish and plants and affect the metabolic process of microorganisms.

[0021] Abnormal ammonia nitrogen content: Ammonia nitrogen content is too high: Ammonia nitrogen concentration exceeds the safety standard, which may cause eutrophication of water bodies, breed harmful algae, and affect water quality and biological health. Ammonia nitrogen content is too low: It reflects the insufficient decomposition activity of microorganisms, affecting the effective removal of organic matter.

[0022] Abnormal temperature: Temperature is too high or too low: Abnormal water temperature may affect the metabolic rate and living environment of aquatic organisms.

[0023] Preferably, as an implementable solution, the anomaly detection module adopts a statistical analysis method based on a sliding window, including:

[0024] Set the size of the sliding window;

[0025] The mean and standard deviation of water quality parameters were calculated within each time window;

[0026] Determine whether the current monitoring data exceeds the range of the mean plus or minus two standard deviations. If so, mark it as abnormal.

[0027] Preferably, as an implementable solution, the operation control parameters of the water circulation pump include pump speed and pump flow rate; the pump speed is the rotation speed of the pump; the pump flow rate is the amount of water passing through the pump per unit time;

[0028] The control execution unit includes a first control unit; the first control unit monitors and finds that if the dissolved oxygen is lower than the minimum standard threshold of dissolved oxygen, the current pump speed and pump flow of the water circulation pump are controlled to achieve the processing operation of increasing the pump speed and pump flow.

[0029] Preferably, as an implementable solution, the operation control parameters of the water circulation pump also include the operation time;

[0030] The control execution unit includes a second control unit; the second control unit monitors and finds that if the ammonia nitrogen content is lower than the minimum standard threshold of the ammonia nitrogen content, it controls the running time of the water circulation pump to increase the circulation efficiency of the water circulation pump.

[0031] It should be noted that in the above technical solution, for example, if the dissolved oxygen is lower than a certain threshold, the pump speed is increased to improve water circulation and promote the dissolution of oxygen in the water. Adjust the pump speed and flow rate: adjust the speed and flow rate of the water circulation pump according to the control strategy to meet the current water quality requirements. Start-stop control and operation time control: determine the start-stop state of the pump according to the changes in water quality to achieve energy saving and efficient circulation.

[0032] Preferably, as an implementable embodiment, the purification device comprises:

[0033] Biofilters, which use microorganisms to break down organic matter in water;

[0034] Activated carbon filter, used to absorb harmful substances in water;

[0035] Ultraviolet disinfection module, used to kill pathogenic microorganisms in water;

[0036] The control execution unit further includes a third control unit; the third control unit on the control execution unit controls the operation of the purification device through the following steps:

[0037] Control the aeration of microorganisms in the biofilter;

[0038] Control the replacement cycle of activated carbon filters;

[0039] Start or stop the UV disinfection module.

[0040] Preferably, as an implementable solution, the third control unit also includes an aeration volume control module, a filter replacement control module, and a start or stop ultraviolet disinfection control module;

[0041] The aeration volume control module is used to dynamically adjust the aeration volume according to real-time monitored dissolved oxygen (DO) concentration, temperature (T) and organic matter concentration (COD) data by using a fuzzy logic control algorithm;

[0042] Control formula: Q aeration =K× ( DO set -DO current) ×e -αT ;

[0043] Where: Q aeration : aeration flow rate (L / min); K: control coefficient; DO set : Set the dissolved oxygen target value ( mg / L ) ;DO current : Current dissolved oxygen concentration ( mg / L ) ; T: water temperature ( ℃ ) ; α: temperature regulation coefficient;

[0044] The filter change control is used for adsorption saturation based on activated carbon ( S ) ,flow ( Q and pollutant concentration ( C ) Predict replacement time;

[0045] Control formula:

[0046] Where: T replace is the estimated replacement time (days); S max : Maximum adsorption capacity of activated carbon ( mg ) ; Q: Pump flow rate (L / min); C: Filter inlet pollutant concentration ( mg / L ) ;β: adsorption efficiency coefficient;

[0047] The start or stop ultraviolet disinfection control module is used to monitor the number of pathogenic microorganisms per unit volume of water quality. If the number of pathogenic microorganisms per unit volume of water quality exceeds a warning threshold, the ultraviolet disinfection module is controlled to start.

[0048] Preferably, as an implementable embodiment, the data storage module is used to store historical water quality monitoring data and control logs; the control logs include time series and operating control parameters of the water circulation pump corresponding to the time series.

[0049] Accordingly, the present invention provides a highly efficient water resource circulation purification intelligent control method for a fish-rice symbiotic system, comprising the following operating steps:

[0050] The water quality monitoring unit monitors the water quality data of dissolved oxygen, pH value, and ammonia nitrogen content in the water in real time;

[0051] The data processing unit is connected to the water quality monitoring unit to receive and process water quality monitoring data;

[0052] The control execution unit is connected to the data processing unit and controls the operation control parameters of the water circulation pump in the water circulation system according to the processed water quality monitoring data;

[0053] The water circulation system is connected to the control execution unit to realize the circulation of water; the water circulation system includes a water circulation pump;

[0054] The purification device is connected with the water circulation system to perform biological and physical purification on the water body.

[0055] Compared with the prior art, the embodiments of the present invention have at least the following technical advantages:

[0056] By analyzing the above-mentioned efficient water resource circulation purification intelligent control system and method for fish-rice symbiosis system provided by the present invention, it can be known that the efficient water resource circulation purification intelligent control system for fish-rice symbiosis system includes a water circulation system, a purification device, a water quality monitoring unit, a data processing unit, a control execution unit and a communication interface: a water quality monitoring unit, which is used to monitor the water quality monitoring data of dissolved oxygen, pH value and ammonia nitrogen content in the water body in real time; a data processing unit, which is connected to the water quality monitoring unit, and is used to receive and process the water quality monitoring data; a control execution unit, which is connected to the data processing unit, and is used to control the operation control parameters of the water circulation pump in the water circulation system according to the processed water quality monitoring data;

[0057] By deploying a variety of sensors, the system can continuously and in real time obtain water quality data, avoiding the lag and incompleteness of traditional manual sampling. The existing system lacks advanced data processing and intelligent decision-making algorithms, which makes it difficult to effectively analyze water quality monitoring data and to identify and respond to water quality anomalies in a timely manner. The data preprocessing module filters and normalizes the monitored water quality data to eliminate noise and data deviation. Then, the characteristic values ​​of key water quality parameters are extracted from the preprocessed data. A statistical analysis method based on a sliding window is used to identify anomalies in water quality parameters in real time. Data preprocessing and feature extraction can improve the quality of data and the accuracy of analysis. The sliding window statistical analysis method can dynamically monitor the changing trend of water quality parameters by setting reasonable thresholds (such as mean ± twice the standard deviation), promptly identify anomalies beyond the normal range, and ensure that the system can respond quickly to potential water quality problems.

[0058] At the same time, existing water circulation pumps usually use fixed operating parameters and cannot be dynamically adjusted according to actual water quality requirements, resulting in energy waste and poor water quality control effects. The embodiment of the present invention uses a fuzzy logic control algorithm, and the system can dynamically adjust the aeration volume of the pump according to the real-time dissolved oxygen concentration and water temperature, ensuring that the water quality parameters always remain within the set ideal range, intelligently ensuring the overall purification efficiency of the fish-rice symbiosis system. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0060] Figure 1 A schematic diagram of a highly efficient water resource circulation and purification intelligent control system for a fish-rice symbiosis system provided in Embodiment 1 of the present invention;

[0061] Figure 2 A specific schematic diagram of a data processing unit of an efficient water resource circulation and purification intelligent control system for a fish-rice symbiosis system provided in the first embodiment of the present invention;

[0062] Figure 3 This is a flow chart of an efficient water resource circulation purification intelligent control method for a fish-rice symbiosis system provided in Example 1 of the present invention.

[0063] Label:

[0064] Water circulation system 10;

[0065] Purification device 20;

[0066] Water quality monitoring unit 30;

[0067] Data processing unit 40; data preprocessing module 41; feature extraction module 42; anomaly detection module 43;

[0068] The control execution unit 50 is configured to execute the control operation. DETAILED DESCRIPTION

[0069] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0070] The present invention is further described in detail below through specific embodiments in conjunction with the accompanying drawings.

[0071] Embodiment 1

[0072] like Figure 1 As shown, the present invention proposes an efficient water resource circulation purification intelligent control system for a fish-rice symbiotic system, including a water circulation system 10, a purification device 20, a water quality monitoring unit 30, a data processing unit 40, a control execution unit 50 and a communication interface:

[0073] A water quality monitoring unit 30 is used to monitor the water quality monitoring data of dissolved oxygen, pH value and ammonia nitrogen content in the water body in real time;

[0074] A data processing unit 40, connected to the water quality monitoring unit, for receiving and processing water quality monitoring data;

[0075] A control execution unit 50, connected to the data processing unit, for controlling the operation control parameters of the water circulation pump in the water circulation system according to the processed water quality monitoring data;

[0076] A water circulation system 10, connected to the control execution unit, is used to realize the circulation of water; the water circulation system includes a water circulation pump;

[0077] A purification device 20, connected to the water circulation system, for biological and physical purification of water;

[0078] A communication interface is connected to the data processing unit and is used to exchange data with an external device or a cloud platform.

[0079] The efficient water resource circulation purification intelligent control system for the fish-rice symbiosis system includes a water circulation system, a purification device, a water quality monitoring unit, a data processing unit, a control execution unit and a communication interface: the water quality monitoring unit is used to monitor the water quality monitoring data of dissolved oxygen, pH value and ammonia nitrogen content in the water body in real time; the data processing unit is connected to the water quality monitoring unit and is used to receive and process the water quality monitoring data; the control execution unit is connected to the data processing unit and is used to control the operation control parameters of the water circulation pump in the water circulation system according to the processed water quality monitoring data;

[0080] By deploying a variety of sensors, the system can continuously and in real time obtain water quality data, avoiding the lag and incompleteness of traditional manual sampling. The existing system lacks advanced data processing and intelligent decision-making algorithms, which makes it difficult to effectively analyze water quality monitoring data and to identify and respond to water quality anomalies in a timely manner. The data preprocessing module filters and normalizes the monitored water quality data to eliminate noise and data deviation. Then, the characteristic values ​​of key water quality parameters are extracted from the preprocessed data. A statistical analysis method based on a sliding window is used to identify anomalies in water quality parameters in real time. Data preprocessing and feature extraction can improve the quality of data and the accuracy of analysis. The sliding window statistical analysis method can dynamically monitor the changing trend of water quality parameters by setting reasonable thresholds (such as mean ± twice the standard deviation), promptly identify anomalies beyond the normal range, and ensure that the system can respond quickly to potential water quality problems.

[0081] At the same time, existing water circulation pumps usually use fixed operating parameters and cannot be dynamically adjusted according to actual water quality requirements, resulting in energy waste and poor water quality control effects. The embodiment of the present invention uses a fuzzy logic control algorithm, and the system can dynamically adjust the aeration volume of the pump according to the real-time dissolved oxygen concentration and water temperature, ensuring that the water quality parameters always remain within the set ideal range, intelligently ensuring the overall purification efficiency of the fish-rice symbiosis system.

[0082] Priority, as an implementable solution; Figure 2 As shown, the data processing unit 40 further includes:

[0083] A data preprocessing module 41 is used to filter and normalize the water quality monitoring data monitored by the water quality monitoring unit;

[0084] A feature extraction module 42 is used to extract feature values ​​of water quality parameters from the pre-processed water quality monitoring data;

[0085] The anomaly detection module 43 is used to identify characteristic values ​​of water quality parameters and mark abnormal information in the water quality parameters.

[0086] Analysis of the above technical solutions shows that the data preprocessing module is used to filter and normalize the water quality monitoring data monitored by the water quality monitoring unit; the data preprocessing module effectively removes noise and outliers in the water quality monitoring data through filtering to ensure the purity of the data. The feature extraction module is used to extract the characteristic values ​​of water quality parameters from the preprocessed water quality monitoring data; through the feature extraction module, key information is extracted from the preprocessed data to capture the main characteristics and trends of water quality changes. The anomaly detection module is used to identify the characteristic values ​​of water quality parameters and mark abnormal information in water quality parameters; using advanced anomaly detection algorithms, based on the extracted water quality characteristic values, the water quality parameters are analyzed in real time, and abnormal situations can be accurately and timely identified. When the water quality parameters exceed the preset normal range, the system can mark and warn in time to ensure that the system can respond quickly and take corresponding control measures to ensure the stable operation of the fish-rice symbiosis system and the health of the ecological environment.

[0087] Preferably, as an implementable solution, the abnormal information includes abnormal dissolved oxygen (DO) information, abnormal pH value information, abnormal ammonia nitrogen content information and abnormal temperature information.

[0088] Explanation on abnormal dissolved oxygen (DO): Dissolved oxygen (DO) is too low: The dissolved oxygen content is lower than the appropriate range, which may cause fish to suffocate, slow growth, and reduce the efficiency of microbial decomposition of organic matter. Dissolved oxygen (DO) is too high: Although it is rare, too high dissolved oxygen may affect the activities of some anaerobic microorganisms and disrupt the ecological balance of the water body.

[0089] Explanation on abnormal pH value: Too acidic or too alkaline: The pH value deviates from the neutral range (usually 6.5-8.5), which may have an adverse effect on the growth of fish and plants and affect the metabolic process of microorganisms.

[0090] Explanation on abnormal ammonia nitrogen content: Ammonia nitrogen content is too high: Ammonia nitrogen concentration exceeds the safety standard, which may cause eutrophication of water bodies, breed harmful algae, and affect water quality and biological health. Ammonia nitrogen content is too low: It reflects insufficient decomposition activity of microorganisms, affecting the effective removal of organic matter.

[0091] Explanation on temperature abnormalities: Temperature is too high or too low: Abnormal water temperature may affect the metabolic rate and living environment of aquatic organisms.

[0092] Preferably, as an implementable solution, the anomaly detection module 43 adopts a statistical analysis method based on a sliding window, including:

[0093] Set the size of the sliding window;

[0094] The mean and standard deviation of water quality parameters were calculated within each time window;

[0095] Determine whether the current monitoring data exceeds the range of the mean plus or minus two standard deviations. If so, mark it as abnormal.

[0096] Preferably, as an implementable solution, the operation control parameters of the water circulation pump include pump speed and pump flow rate; the pump speed is the rotation speed of the pump; the pump flow rate is the amount of water passing through the pump per unit time;

[0097] The control execution unit includes a first control unit; the first control unit monitors and finds that if the dissolved oxygen is lower than the minimum standard threshold of dissolved oxygen, the current pump speed and pump flow of the water circulation pump are controlled to achieve the processing operation of increasing the pump speed and pump flow.

[0098] Preferably, as an implementable solution, the operation control parameters of the water circulation pump also include the operation time;

[0099] The control execution unit includes a second control unit; the second control unit monitors and finds that if the ammonia nitrogen content is lower than the minimum standard threshold of the ammonia nitrogen content, it controls the running time of the water circulation pump to increase the circulation efficiency of the water circulation pump.

[0100] It should be noted that in the above technical solution, for example, if the dissolved oxygen is lower than a certain threshold, the pump speed is increased to improve water circulation and promote the dissolution of oxygen in the water. Adjusting the pump speed and flow rate: The technical solution adopted in the embodiment of the present invention can also adjust the speed and flow rate of the water circulation pump according to the control strategy to adapt to the current water quality requirements. The technical solution adopted in the embodiment of the present invention can perform start-stop control and operating time control: Specifically, according to the changes in water quality, the start-stop state of the pump is determined to achieve energy saving and efficient circulation.

[0101] Preferably, as an implementable embodiment, the purification device comprises:

[0102] Biofilters, which use microorganisms to break down organic matter in water;

[0103] Activated carbon filter, used to absorb harmful substances in water;

[0104] Ultraviolet disinfection module, used to kill pathogenic microorganisms in water;

[0105] The control execution unit further includes a third control unit; the third control unit on the control execution unit controls the operation of the purification device through the following steps:

[0106] Control the aeration of microorganisms in the biofilter;

[0107] Control the replacement cycle of activated carbon filters;

[0108] Start or stop the UV disinfection module.

[0109] In the above technical solution, the aeration volume in the biofilter is dynamically adjusted by controlling the execution unit to ensure that the dissolved oxygen (DO) concentration is maintained within an appropriate range. The technical solution adopted in the embodiment of the present invention can control the aeration volume of microorganisms in the biofilter by controlling the execution unit. This measure optimizes the metabolic activity of microorganisms and enhances the decomposition efficiency of organic matter, thereby improving the removal effect of organic pollutants in the water body and ensuring the continuous stability of water quality. It is also necessary to accurately control the replacement cycle of the activated carbon filter, which can extend the service life of the activated carbon filter and reduce maintenance and operating costs.

[0110] Preferably, as an implementable solution, the third control unit also includes an aeration volume control module, a filter replacement control module, and a start or stop ultraviolet disinfection control module;

[0111] The aeration volume control module is used to dynamically adjust the aeration volume according to real-time monitored dissolved oxygen (DO) concentration, temperature (T) and organic matter concentration (COD) data by using a fuzzy logic control algorithm;

[0112] Control formula: Q aeration =K×(DO set -DO current )×e -αT ;

[0113] Where: Q aeration : aeration flow rate (L / min); K: control coefficient; DO set : Set the dissolved oxygen target value ( mg / L ) ;DO current : Current dissolved oxygen concentration ( mg / L ) ; T: water temperature ( ℃ ) ; α: temperature regulation coefficient;

[0114] The filter change control is used for adsorption saturation based on activated carbon ( S ) ,flow ( Q and pollutant concentration ( C ) Predict replacement time;

[0115] Control formula:

[0116] Where: T replace is the estimated replacement time (days); S max : Maximum adsorption capacity of activated carbon ( mg ); Q: Pump flow rate (L / min); C: Filter inlet pollutant concentration ( mg / L ) ;β: adsorption efficiency coefficient;

[0117] The start or stop ultraviolet disinfection control module is used to monitor the number of pathogenic microorganisms per unit volume of water quality. If the number of pathogenic microorganisms per unit volume of water quality exceeds a warning threshold, the ultraviolet disinfection module is controlled to start.

[0118] Preferably, as an implementable embodiment, the data storage module is used to store historical water quality monitoring data and control logs; the control logs include time series and operating control parameters of the water circulation pump corresponding to the time series.

[0119] The study found that existing water quality monitoring methods are unable to obtain multiple key water quality parameters in real time and comprehensively, which limits the system's ability to respond quickly to changes in water quality.

[0120] However, the technical solution adopted in the embodiment of the present invention can combine advanced water quality monitoring technology, data processing algorithm and dynamic control strategy to achieve efficient circulation and continuous purification of water resources in the fish-rice symbiosis system. The system should have the ability to monitor multiple water quality parameters in real time, analyze and dynamically adjust the operating status of the water circulation pump and purification device, so as to improve the ecological treatment efficiency of the overall system.

[0121] Embodiment 2

[0122] like Figure 3 As shown, the second embodiment of the present invention provides a highly efficient water resource circulation purification intelligent control method for a fish-rice symbiotic system, comprising the following operating steps:

[0123] S10, the water quality monitoring unit monitors the water quality monitoring data of dissolved oxygen, pH value and ammonia nitrogen content in the water body in real time;

[0124] S20, the data processing unit is connected to the water quality monitoring unit to receive and process the water quality monitoring data;

[0125] S30, the control execution unit is connected to the data processing unit, and controls the operation control parameters of the water circulation pump in the water circulation system according to the processed water quality monitoring data;

[0126] S40, a water circulation system is connected to the control execution unit to realize the circulation of water; the water circulation system includes a water circulation pump;

[0127] S50, the purification device is connected to the water circulation system to perform biological and physical purification on the water body.

[0128] Embodiment 2 of the present invention provides an efficient water resource circulation purification intelligent control method for a fish-rice symbiosis system, wherein a data preprocessing module filters and normalizes the monitored water quality data to eliminate noise and data deviation. Then, the characteristic values ​​of key water quality parameters are extracted from the preprocessed data. A statistical analysis method based on a sliding window is adopted to identify abnormal conditions in water quality parameters in real time. By data preprocessing and feature extraction, the quality of data and the accuracy of analysis are improved. The sliding window statistical analysis method can dynamically monitor the changing trend of water quality parameters by setting a reasonable threshold value (such as mean ± twice the standard deviation), promptly identify abnormal conditions beyond the normal range, and ensure that the system can respond quickly to potential water quality problems. The embodiment of the present invention uses a fuzzy logic control algorithm, and the system can dynamically adjust the aeration volume of the pump according to the real-time dissolved oxygen concentration and water temperature to ensure that the water quality parameters are always kept within the set ideal range, and the overall purification efficiency of the fish-rice symbiosis system is intelligently guaranteed.

[0129] Preferably, as an implementable solution, the data processing unit is connected to the water quality monitoring unit to receive and process the water quality monitoring data, which specifically includes the following operation steps:

[0130] S21, a data preprocessing module performs filtering and normalization processing on the water quality monitoring data monitored by the water quality monitoring unit;

[0131] S22, a feature extraction module extracts feature values ​​of water quality parameters from the pre-processed water quality monitoring data;

[0132] S23. The anomaly detection module identifies characteristic values ​​of water quality parameters and marks abnormal information in the water quality parameters.

[0133] Analysis of the above technical solutions shows that the data preprocessing module filters and normalizes the water quality monitoring data monitored by the water quality monitoring unit; the data preprocessing module effectively removes noise and outliers in the water quality monitoring data through filtering to ensure the purity of the data. The feature extraction module extracts the characteristic values ​​of water quality parameters from the preprocessed water quality monitoring data; through the feature extraction module, key information is extracted from the preprocessed data to capture the main characteristics and trends of water quality changes. The anomaly detection module identifies the characteristic values ​​of water quality parameters and marks abnormal information in water quality parameters; using advanced anomaly detection algorithms, based on the extracted water quality characteristic values, the water quality parameters are analyzed in real time, and abnormal situations can be accurately and timely identified. When the water quality parameters exceed the preset normal range, the system can mark and warn in time to ensure that the system can respond quickly and take corresponding control measures to ensure the stable operation of the fish-rice symbiosis system and the health of the ecological environment.

[0134] Preferably, as an implementable solution, the anomaly detection module 43 adopts a statistical analysis method based on a sliding window, including:

[0135] Set the size of the sliding window;

[0136] The mean and standard deviation of water quality parameters were calculated within each time window;

[0137] Determine whether the current monitoring data exceeds the range of the mean plus or minus two standard deviations. If so, mark it as abnormal.

[0138] In summary, the above-mentioned intelligent control system and method for efficient water resource circulation purification for fish-rice symbiosis system provided by the present invention can continuously and in real time acquire water quality data by deploying multiple sensors, thus avoiding the lag and incompleteness of traditional manual sampling. However, the embodiment of the present invention uses a fuzzy logic control algorithm, and the system can dynamically adjust the aeration volume of the pump according to parameters such as real-time dissolved oxygen concentration and water temperature, ensuring that the water quality parameters are always kept within the set ideal range, and intelligently ensuring the overall purification efficiency of the fish-rice symbiosis system.

[0139] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. A person skilled in the art may modify the technical solutions described in the above embodiments, or replace part or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An efficient water resource circulation and purification intelligent control system for fish-rice symbiosis system, characterized in that: Including water circulation system, purification device, water quality monitoring unit, data processing unit, control execution unit and communication interface: Water quality monitoring unit, used to monitor the water quality monitoring data of dissolved oxygen, pH value and ammonia nitrogen content in water in real time; A data processing unit, connected to the water quality monitoring unit, for receiving and processing water quality monitoring data; A control execution unit, connected to the data processing unit, for controlling the operation control parameters of a water circulation pump in the water circulation system according to the processed water quality monitoring data; A water circulation system, connected to the control execution unit, for realizing the circulation of water; the water circulation system comprises a water circulation pump; A purification device, connected to the water circulation system, for biological and physical purification of water; A communication interface is connected to the data processing unit and is used to exchange data with an external device or a cloud platform.

2. The intelligent control system according to claim 1, characterized in that: The data processing unit further comprises: A data preprocessing module, used for filtering and normalizing the water quality monitoring data monitored by the water quality monitoring unit; A feature extraction module is used to extract characteristic values ​​of water quality parameters from the pre-processed water quality monitoring data; The anomaly detection module is used to identify the characteristic values ​​of water quality parameters and mark the abnormal information in the water quality parameters.

3. The intelligent control system according to claim 1, characterized in that: The abnormal information includes abnormal dissolved oxygen information, abnormal pH value information, abnormal ammonia nitrogen content information and abnormal temperature information.

4. The intelligent control system according to claim 2, characterized in that: The anomaly detection module is used to adopt a statistical analysis method based on a sliding window, including: setting the size of the sliding window; calculating the mean and standard deviation of the water quality parameters in each time window; judging whether the current monitoring data exceeds the range of the mean plus or minus two times the standard deviation, and if so, marking it as an anomaly.

5. The intelligent control system according to claim 4, characterized in that: The operation control parameters of the water circulation pump include pump speed and pump flow rate; the pump speed is the rotation speed of the pump; the pump flow rate is the amount of water passing through the pump per unit time; The control execution unit includes a first control unit; the first control unit monitors and finds that if the dissolved oxygen is lower than the minimum standard threshold of dissolved oxygen, the current pump speed and pump flow of the water circulation pump are controlled to achieve the processing operation of increasing the pump speed and pump flow.

6. The intelligent control system according to claim 5, characterized in that: The operation control parameters of the water circulation pump also include operation time; The control execution unit includes a second control unit; the second control unit monitors and finds that if the ammonia nitrogen content is lower than the minimum standard threshold of the ammonia nitrogen content, it controls the running time of the water circulation pump to increase the circulation efficiency of the water circulation pump.

7. The intelligent control system according to claim 4, characterized in that: The purification device comprises: Biofilters, which use microorganisms to break down organic matter in water; Activated carbon filter, used to absorb harmful substances in water; Ultraviolet disinfection module, used to kill pathogenic microorganisms in water; The control execution unit further includes a third control unit; the third control unit on the control execution unit controls the operation of the purification device through the following steps: Control the aeration of microorganisms in the biofilter; Control the replacement cycle of activated carbon filters; Start or stop the UV disinfection module.

8. The intelligent control system according to claim 1, characterized in that: The third control unit also includes an aeration volume control module, a filter replacement control module, and a start or stop ultraviolet disinfection control module; The aeration volume control module is used to dynamically adjust the aeration volume according to real-time monitored dissolved oxygen concentration, temperature and organic matter concentration data by using a fuzzy logic control algorithm; Control formula: Q aeration =K×(DO set -DO current )×e -αT ; Where: Q aeration is the aeration flow rate; K is the control coefficient; DO set To set the target value of dissolved oxygen; DO current is the current dissolved oxygen concentration; T is the water temperature; α is the temperature adjustment coefficient; The filter replacement control is used to predict the replacement time based on the adsorption saturation S of the activated carbon, the flow rate Q and the pollutant concentration C; Control formula: Where: T replace is the estimated replacement time; S max is the maximum adsorption capacity of activated carbon; Q: is the pump flow rate; C is the pollutant concentration of the filter inlet water; β is the adsorption efficiency coefficient; The start or stop ultraviolet disinfection control module is used to monitor the number of pathogenic microorganisms per unit volume of water quality. If the number of pathogenic microorganisms per unit volume of water quality exceeds a warning threshold, the ultraviolet disinfection module is controlled to start.

9. The system according to claim 8, characterized in that It also includes a data storage module, which is used to store historical water quality monitoring data and control logs; the control logs include time series and operating control parameters of the water circulation pump corresponding to the time series.

10. An efficient water resource circulation purification intelligent control method for fish-rice symbiosis system, characterized in that: The steps are as follows: The water quality monitoring unit monitors the water quality data of dissolved oxygen, pH value, and ammonia nitrogen content in the water in real time; The data processing unit is connected to the water quality monitoring unit to receive and process water quality monitoring data; The control execution unit is connected to the data processing unit and controls the operation control parameters of the water circulation pump in the water circulation system according to the processed water quality monitoring data; The water circulation system is connected to the control execution unit to realize the circulation of water; the water circulation system includes a water circulation pump; The purification device is connected with the water circulation system to perform biological and physical purification on the water body.

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