Constant-temperature and constant-humidity poecilobdella manillensis breeding system and method based on whole-course water quality monitoring

Abstract

The invention provides a constant-temperature and constant-humidity poecilobdella manillensis breeding system and method based on whole-course water quality monitoring, relates to the technical field of poecilobdella manillensis breeding, and aims to realize constant-temperature and constant-humidity poecilobdella manillensis breeding by utilizing a whole-course water quality monitoring technology. The method comprises the following steps: firstly, collecting water quality parameters such as pH value, dissolved oxygen concentration, turbidity, water temperature and humidity in a culture pond, monitoring the change rate in real time, and generating corresponding water quality indexes based on an expert scoring method; then, a multi-level water body circulation system is designed, and an efficient filtering and oxygenation device is arranged, so that the cleanness and health of water are ensured. Next, constructing a water quality optimization model by adopting a machine learning algorithm, and adjusting the water quality environment of the culture pond in real time by performing linear regression training on the collected data to ensure that the water quality environment meets a target standard; and finally, establishing a health state detection model based on a deep learning technology, and regularly inputting a growth state image to evaluate the health state of the poecilobdella manillensis so as to realize scientific and intelligent breeding management.

Description

Technical Field

[0001] The invention relates to the technical field of Philippine cattle leech breeding, and in particular to a constant temperature and humidity Philippine cattle leech breeding system and method based on full-process water quality monitoring. Background Art

[0002] The Philippine cattle leech is a species widely used in medicine and ecology, and is valued for its unique physiological characteristics and medicinal value. As an aquatic organism, the Philippine cattle leech relies on the health of water bodies in the natural environment for survival, so the development of its breeding technology is closely related to water quality management. In recent years, with the vigorous development of the biopharmaceutical industry, the Philippine cattle leech has been widely used in blood therapy, the development of anticoagulant drugs and other medical applications, which has promoted the growth of its breeding demand.

[0003] Traditional breeding methods often ignore the dynamic monitoring of water quality, which can easily lead to the deterioration of the breeding environment, thus affecting the growth and health of Philippine cattle leeches. Therefore, the use of modern scientific and technological means, such as sensor monitoring, machine learning and deep learning, can monitor and optimize the water quality of breeding ponds in real time to ensure the stability and suitability of the breeding environment.

[0004] The prior art has the following deficiencies: Although the current Philippine cattle leech breeding technology has made some progress in water quality management and growth monitoring, there are still some shortcomings. Many traditional breeding methods rely on manual monitoring and lack real-time data analysis, which makes it difficult to adjust water quality fluctuations in real time, thus affecting the growth and health of Philippine cattle leeches. In addition, the existing water circulation system often fails to achieve optimal water quality control, and there are problems such as low filtration efficiency and insufficient oxygen supply, which affects the stability of the breeding environment. At the same time, some breeders lack systematic and scientific assessments of the health status of Philippine cattle leeches, making it difficult to effectively prevent diseases and optimize breeding strategies. These factors together limit the improvement of breeding efficiency and economic benefits. Therefore, it is urgent to introduce more advanced automated monitoring and data analysis technologies to solve the challenges faced by these existing technologies.

[0005] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0006] The object of the present invention is to provide a constant temperature and humidity leech breeding system and method based on full-process water quality monitoring to solve the problems raised in the above-mentioned background technology.

[0007] A constant temperature and humidity leech breeding system based on full-process water quality monitoring, comprising: The water quality parameter collection module is used to collect the historical water quality parameters in the breeding pond, calculate the change rate of the water quality parameters in the breeding pond, and score the water quality based on the expert scoring method to generate water quality indicators corresponding to the water quality parameters; The water filtration system design module is used to design a multi-level water circulation system, set up multi-level filtration devices and oxygenation devices in the water flow path to ensure that impurities and harmful substances in the water are effectively removed, and calculate the water filtration efficiency; The water quality optimization model construction module is used to label the water quality index on the water quality parameter and input it into the constructed water quality optimization model for training and testing to obtain a qualified water quality optimization model; the real-time water quality monitoring and adjustment module is used to input the water quality parameters in the current breeding pond into the water quality optimization model to obtain the real-time water quality index. If the real-time water quality index deviates from the target water quality index, the water quality environment in the breeding pond is adjusted; The health status model construction module is used to collect the historical growth status images of Philippine cattle leeches and mark the health status probabilities as labels, and then input them into the constructed health status model for training and testing to obtain a health status model that passes the test; The health status judgment module is used to regularly collect the growth status images of the Philippine leech and input them into the tested qualified health status model to judge the current health status of the Philippine leech.

[0008] Furthermore, the specific logic for calculating the rate of change of water quality parameters in the aquaculture pond is: Install a pH meter, dissolved oxygen sensor, turbidity sensor, water temperature sensor and humidity sensor in the center of the culture pond, 20 cm from the water surface, to obtain the pH value, dissolved oxygen concentration, turbidity, water temperature and humidity in the culture pond; Get △ t The rate of change of pH value within a time interval is based on the formula: in, R pH(t) for t The pH value change rate at the time, pH ( t )for t The pH value at the time, pH ( t- △ t )for( t- △ t ) pH value at the moment, △ t is the time interval; The dissolved oxygen concentration, turbidity, water temperature and humidity in the culture pond at time t are calibrated as DO ( t ) , Tu( t ) 、T ( t ) 、H ( t ), and similarly, the rate of change of dissolved oxygen concentration at time t is obtained R DO(t) , turbidity change rate R Tu(t) , water temperature change rate R T(t) , humidity change rate R H(t) .

[0009] Furthermore, the specific logic for calculating water filtration efficiency is: A three-stage water circulation system is set up, which includes primary treatment, secondary treatment and tertiary treatment. The primary treatment includes installing a sedimentation tank at the water source inlet, the secondary treatment includes installing a filter after the sedimentation tank, and the tertiary treatment includes installing an aeration device after the filter, and installing water pumps at the outlet of the sedimentation tank, the outlet of the filter and the outlet of the aeration device; Turbidity sensors are installed at the inlet of the sedimentation tank and the outlet of the filter. The formula for obtaining the water filtration efficiency is: in, E is the filtration efficiency, C in is the influent turbidity, in units of mg / L , C out is the turbidity of the outlet water, in units of mg / L ; Maintain the water filtration efficiency at 90%. If the calculated water filtration efficiency is lower than 90%, the filtration system in the breeding pond needs to be inspected and maintained.

[0010] Furthermore, the specific logic for obtaining a qualified water quality optimization model is as follows: The pH value, dissolved oxygen concentration, turbidity, water temperature and humidity of the breeding pond are collected and the change rate of each parameter is calculated. The water quality parameters, the change rate of each water quality parameter and the corresponding water quality index are generated into a sample data set according to the timestamp. The linear regression model is selected to train the water quality optimization model. The trained water quality optimization model is then input into the data in the test set for testing. The mean square error is used as the evaluation indicator. When the mean square error value is in the range of [0.1, 0.5], it indicates that the training of the water quality optimization model is completed.

[0011] Furthermore, the specific logic for adjusting the water quality environment in the breeding pond is: The pH value, dissolved oxygen concentration, turbidity, water temperature and humidity in the aquaculture pond are collected regularly, and the change rate of water quality parameters is calculated and input into the trained water quality optimization model. The formula for obtaining real-time water quality indicators is as follows: in, Y is the real-time water quality index output by the water quality optimization model, β 0 is the constant intercept term, β 1 , β 2 , β 3 , β 4 , β 5、 β 6、 β 7、 β 8、 β9 is the weight coefficient of each variable after training; The real-time water quality index output by the model is compared with the preset target water quality index. If the real-time water quality index is higher or lower than the preset target water quality index, the pH value, dissolved oxygen concentration, turbidity, water temperature and humidity data in the breeding pond are compared with the preset water quality parameter thresholds. If the pH value in the breeding pond exceeds the preset threshold, acid or alkali is added according to the current pH value. If the dissolved oxygen concentration in the breeding pond is lower than the preset threshold, the operation time and intensity of the equipment are controlled to increase according to the difference between the current dissolved oxygen concentration and the threshold. If the turbidity in the breeding pond exceeds the preset threshold, a filtering device is used to remove suspended matter in the water and reduce the turbidity. If the water temperature in the breeding pond is higher or lower than the preset threshold, based on the difference between the current water temperature and the preset threshold, a heater is used to increase the water temperature or a cooling device is used to reduce the water temperature. If the humidity in the breeding pond is higher or lower than the preset threshold, based on the difference between the current humidity and the preset threshold, the humidity is reduced by circulating the water body with a water pump or by increasing the water injection volume and using a humidifier to increase the humidity.

[0012] Furthermore, the specific logic for constructing the health status model of Philippine leeches is: Obtain images of the historical growth process of Philippine leeches, and experts annotate the collected images, assign corresponding health status probabilities according to the health status of healthy, mildly sick, and severely sick, generate training sets, input the training sets into the deep learning model, extract features based on convolutional neural networks, and use softmax The function outputs the health status probability of the Philippine leech. The objective function selects the cross entropy loss function. When the cross entropy loss function value is lower than 0.1, the model training is completed.

[0013] Furthermore, the specific logic for judging the current health status of Philippine leeches is: Input the current Philippine leech growth status image into the model, and according to the health status probability output by the model, if the health status probability P>0.7, the current Philippine leech is judged to be in a healthy state. If the probability of a healthy state is 0.4< P ≤0.7, the current Philippine leech is judged to be in a mildly sick state. If the probability of a healthy state is P ≤0.4, the current Philippine leech is judged to be in a severely ill state.

[0014] The present invention further provides a method for cultivating leeches at a constant temperature and humidity based on full-process water quality monitoring. The method for cultivating leeches at a constant temperature and humidity based on full-process water quality monitoring is performed by the above-mentioned constant temperature and humidity leech cultivation system based on full-process water quality monitoring, and the specific steps include: Step 1: Collect historical water quality parameters in the aquaculture pond, calculate the change rate of water quality parameters in the aquaculture pond, the water quality parameters include pH value, dissolved oxygen concentration, turbidity, water temperature and humidity, and score the water quality based on the expert scoring method to generate water quality indicators corresponding to the water quality parameters; Step 2: Design a multi-level water circulation system, set up multi-level filtration devices and oxygenation devices in the water flow path to ensure that impurities and harmful substances in the water are effectively removed, and calculate the water filtration efficiency; Step 3: After the water quality index is labeled on the water quality parameter, it is input into the constructed water quality optimization model for training and testing to obtain a qualified water quality optimization model; Step 4: Input the water quality parameters in the current breeding pond into the water quality optimization model to obtain the real-time water quality index. If the real-time water quality index deviates from the target water quality index, adjust the water quality environment in the breeding pond; Step 5: After collecting the historical growth status images of Philippine leeches and marking the health status probabilities as labels, they are input into the constructed health status model for training and testing to obtain a qualified health status model; Step 6: Regularly collect growth status images of the Philippine leech and input them into the tested healthy status model to determine the current health status of the Philippine leech.

[0015] In the above technical solution, the technical effects and advantages provided by the present invention are: This method significantly improves the accuracy and efficiency of water quality management by collecting water quality parameters in real time and implementing a multi-level water circulation system, ensuring the stability and suitability of the breeding environment. In addition, the use of machine learning and deep learning technologies to intelligently optimize and monitor water quality and health status not only improves the growth rate and health level of Philippine cattle leeches, but also reduces the risk of disease, ultimately achieving higher breeding benefits and resource utilization. In addition, this method uses image recognition technology to regularly monitor the health status of Philippine cattle leeches. The automated characteristics reduce the burden of manual management, promote the development of the breeding industry in a scientific and intelligent direction, and provide effective technical guarantees for sustainable breeding. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the system structure of the present invention; Figure 2 It is a schematic diagram of the overall method flow of the present invention. DETAILED DESCRIPTION

[0017] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

[0018] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly. Example

[0019] See also Figure 1 The present invention provides a constant temperature and humidity leech breeding system based on full-process water quality monitoring, comprising: The water quality parameter collection module is used to collect the historical water quality parameters in the breeding pond, calculate the change rate of the water quality parameters in the breeding pond, and score the water quality based on the expert scoring method to generate water quality indicators corresponding to the water quality parameters; In this embodiment, the specific logic for calculating the rate of change of water quality parameters in the breeding pond is: Install a pH meter, dissolved oxygen sensor, turbidity sensor, water temperature sensor and humidity sensor in the center of the culture pond, 20 cm from the water surface, to obtain the pH value, dissolved oxygen concentration, turbidity, water temperature and humidity in the culture pond; Get △ t The rate of change of pH value within a time interval is based on the formula: in, R pH(t) for t The pH value change rate at the time, pH ( t )fort The pH value at the time, pH ( t- △ t )for( t- △ t ) pH value at the moment, △ t is the time interval; The dissolved oxygen concentration, turbidity, water temperature and humidity in the culture pond at time t are calibrated as DO ( t ) , Tu ( t ) 、T ( t ) 、H ( t ), and similarly, the dissolved oxygen concentration change rate at time t is obtained R DO(t) , turbidity change rate R Tu(t) , water temperature change rate R T(t) and humidity change rate R H(t) .

[0020] The pH value affects the chemical reactions and biological activity in the water. Too high or too low a pH value may be toxic to the Philippine leech and even affect its growth and reproduction. Secondly, the dissolved oxygen concentration is a necessary condition for the respiration of aquatic organisms. A low oxygen environment can cause stress reactions in the Philippine leech and even suffocate. Therefore, it is crucial to maintain an appropriate dissolved oxygen level. Furthermore, turbidity reflects the content of suspended matter in the water. Excessive turbidity may lead to obstructed photosynthesis and the proliferation of pathogens, thus affecting water quality and biological health. Finally, water temperature is an important factor affecting biological metabolism and activity. The sensitivity of the Philippine leech to temperature requires that its living environment must be kept within an appropriate range.

[0021] The rate of change can reveal the fluctuation trend of water quality and help farmers detect potential problems early. For example, rapid changes in pH may indicate the decomposition of organic matter or the presence of pollution sources in the water. Timely response can avoid negative impacts on the leeches. Secondly, the rate of change of dissolved oxygen helps to assess the biological load and oxygen consumption of the water body, and timely adjust the oxygenation measures to ensure that the leeches have sufficient oxygen supply.

[0022] The rate of change of turbidity can reflect the change of suspended matter in the water, help monitor water pollution and the efficiency of filtration equipment, and ensure that the water remains clear and healthy. The rate of change of water temperature directly affects the metabolism and growth rate of Philippine leeches. Timely monitoring can keep it within the appropriate range and avoid stress caused by sudden temperature changes on organisms.

[0023] In summary, monitoring the rate of change of these parameters can achieve dynamic management and make timely adjustments to ensure the stability and suitability of the breeding environment, ultimately improving the growth efficiency and health level of Philippine cattle leeches.

[0024] The water filtration system design module is used to design a multi-level water circulation system, set up multi-level filtration devices and oxygenation devices in the water flow path to ensure that impurities and harmful substances in the water are effectively removed, and calculate the water filtration efficiency; In this embodiment, the specific logic for calculating the water filtration efficiency is: A three-stage water circulation system is set up, which includes primary treatment, secondary treatment and tertiary treatment. The primary treatment includes installing a sedimentation tank at the water source inlet, the secondary treatment includes installing a filter after the sedimentation tank, and the tertiary treatment includes installing an aeration device after the filter, and installing water pumps at the outlet of the sedimentation tank, the outlet of the filter and the outlet of the aeration device; Turbidity sensors are installed at the inlet of the sedimentation tank and the outlet of the filter. The formula for obtaining the water filtration efficiency is: in, E is the filtration efficiency, C in is the influent turbidity, in units of mg / L , C out is the turbidity of the outlet water, in units of mg / L ; Maintain the water filtration efficiency at 90%. If the calculated water filtration efficiency is lower than 90%, the filtration system in the breeding pond needs to be inspected and maintained.

[0025] By setting up primary, secondary and tertiary treatment, suspended solids, pollutants and harmful substances in the water can be gradually removed. The sedimentation tank of the primary treatment can effectively remove larger particles, the filter of the secondary treatment can further remove fine particles, and the aeration device of the tertiary treatment can increase the oxygen content in the water to ensure that the water quality meets the needs of aquaculture. The multi-level treatment system can monitor and optimize the water quality at each stage, reduce the impact of failures in a single treatment link on the overall system, and enhance the stability and reliability of water quality treatment.

[0026] Turbidity is an indicator of suspended matter in water. Excessive turbidity may hinder photosynthesis and affect the living environment of aquatic organisms. Maintaining a high filtration efficiency can effectively remove suspended matter in the water, ensure clear and safe water quality, and protect the health of Philippine leeches. A good water quality environment helps to improve the growth rate and reproductive capacity of Philippine leeches. If the filtration efficiency is less than 90%, the water quality may be affected, thereby inhibiting the growth and reproduction of organisms and reducing the breeding efficiency. High turbidity may cause pathogens to breed and increase the risk of Philippine leeches contracting diseases. By ensuring that the filtration efficiency is above 90%, the concentration of pathogens in the water can be reduced, thereby reducing the risk of disease transmission and ensuring the stability of breeding. Therefore, the water filtration efficiency is required to be 90% or above.

[0027] The water quality optimization model construction module is used to label the water quality index as a label on the water quality parameter, and then input it into the constructed water quality optimization model for training and testing to obtain a qualified water quality optimization model; in this embodiment, the specific logic for obtaining the qualified water quality optimization model is: The pH value, dissolved oxygen concentration, turbidity, water temperature and humidity of the breeding pond are collected and the change rate of each parameter is calculated. The water quality parameters, the change rate of each water quality parameter and the corresponding water quality index are generated into a sample data set according to the timestamp. The linear regression model is selected to train the water quality optimization model. The trained water quality optimization model is then input into the data in the test set for testing. The mean square error is used as the evaluation indicator. When the mean square error value is in the range of [0.1, 0.5], it indicates that the training of the water quality optimization model is completed.

[0028] By real-time monitoring of parameters such as pH value, dissolved oxygen concentration, turbidity and water temperature of the aquaculture pond, combined with timestamps, a sample data set is generated. These parameters are directly related to water quality and biological health, so the accuracy and real-time nature of the data are crucial. The mean square error is used as a model evaluation indicator. The mean square error measures the difference between the predicted value and the true value. The smaller the value, the higher the accuracy of the model. When the mean square error is in the range of [0.1, 0.5], it means that the prediction ability of the model has reached a good level.

[0029] The real-time water quality monitoring and adjustment module is used to input the water quality parameters in the current breeding pond into the water quality optimization model to obtain the real-time water quality index. If the real-time water quality index deviates from the target water quality index, the water quality environment in the breeding pond is adjusted; In this embodiment, the specific logic for adjusting the water quality environment in the breeding pond is: The pH value, dissolved oxygen concentration, turbidity, water temperature and humidity in the aquaculture pond are collected regularly, and the change rate of water quality parameters is calculated and input into the trained water quality optimization model. The formula for obtaining real-time water quality indicators is as follows: in,Y is the real-time water quality index output by the water quality optimization model, β 0 is the constant intercept term, β 1 , β 2 , β 3 , β 4 , β 5、 β 6、 β 7、 β 8、 β9 is the weight coefficient of each variable after training; The real-time water quality index output by the model is compared with the preset target water quality index. If the real-time water quality index is higher or lower than the preset target water quality index, the pH value, dissolved oxygen concentration, turbidity, water temperature and humidity data in the breeding pond are compared with the preset water quality parameter thresholds. If the pH value in the breeding pond exceeds the preset threshold, acid or alkali is added according to the current pH value. If the dissolved oxygen concentration in the breeding pond is lower than the preset threshold, the operation time and intensity of the equipment are controlled to increase according to the difference between the current dissolved oxygen concentration and the threshold. If the turbidity in the breeding pond exceeds the preset threshold, a filtering device is used to remove suspended matter in the water and reduce the turbidity. If the water temperature in the breeding pond is higher or lower than the preset threshold, based on the difference between the current water temperature and the preset threshold, a heater is used to increase the water temperature or a cooling device is used to reduce the water temperature. If the humidity in the breeding pond is higher or lower than the preset threshold, based on the difference between the current humidity and the preset threshold, the humidity is reduced by circulating the water body with a water pump or by increasing the water injection volume and using a humidifier to increase the humidity.

[0030] The target water quality index is the mean of the water quality index of the healthy state of Philippine leech in the training set, the pH threshold range is [7.0, 7.5], the dissolved oxygen concentration threshold range is [5.0, 8.0], the unit is mg / L, and the turbidity threshold range is less than 20, the unit is mg / L , the water temperature threshold range is [20, 25], in degrees Celsius. Keeping these parameters within the appropriate range will help improve the growth efficiency and survival rate of Philippine leeches. The model is used to obtain the real-time water quality index of the current water quality environment. If the real-time water quality index is within the normal range, it is judged that the water quality parameters are also within the normal range. If the real-time water quality index is higher or lower than the preset target water quality index, it means that one of the water quality parameters in the breeding pond may not be within the suitable breeding threshold, so it is judged one by one and adjusted.

[0031] The health status model construction module is used to collect the historical growth status images of the Philippine leech and mark the health status probability as a label, and then input it into the constructed health status model for training and testing to obtain a health status model that passes the test; in this embodiment, the specific logic for constructing the health status model of the Philippine leech is: Images of the historical growth process of the Philippine leech were obtained, and experts annotated the collected images and assigned corresponding health status probabilities according to the health states of healthy, mildly ill, and severely ill. A training set was generated, and the training set was input into the deep learning model. Feature extraction was performed based on the convolutional neural network, and the softmax function was used to output the health status probability of the Philippine leech. The cross-entropy loss function was selected as the objective function. When the cross-entropy loss function value was lower than 0.1, the model training was completed.

[0032] Images of Philippine cattle leeches at different growth stages were collected and annotated by experts, classified into healthy, mildly sick, and severely sick. This step is the basis for building an effective training set to ensure that the model can learn the characteristics of different health states. Convolutional neural network is a deep learning model that is particularly suitable for image data processing. Its principle is mainly based on the feature extraction ability of the convolution layer, and the high-level features of the image are gradually extracted through multiple convolutional layers and pooling layers. This enables the model to capture subtle changes in different health states. This method realizes automatic feature extraction and classification of images through deep learning, reduces manual intervention, and improves efficiency, especially when processing a large number of images. Through the automatic classification of the health status of Philippine cattle leeches, farmers can understand their breeding status in a timely manner and make corresponding management decisions quickly, which can achieve early warning and take timely measures to prevent the disease from further deteriorating and reduce breeding losses.

[0033] A health status judgment module is used to regularly collect growth status images of the Philippine leech and input them into a qualified health status model to judge the current health status of the Philippine leech; In this embodiment, the specific logic for judging the current health status of the Philippine leech is: Input the current Philippine leech growth status image into the model, and according to the health status probability output by the model, if the health status probability P >0.7, the current Philippine leech is judged to be in a healthy state. If the probability of a healthy state is 0.4< P ≤0.7, the current Philippine leech is judged to be in a mildly sick state. If the probability of a healthy state is P ≤0.4, the current Philippine leech is judged to be in a severely ill state.

[0034] The probability output generated by the softmax function can intuitively reflect the model's confidence in each health state. By setting a threshold, the health state can be classified according to the output probability, thereby realizing the discrimination of the health state of the Philippine leech.

[0035] See also Figure 2The present invention also provides a method for cultivating leeches at a constant temperature and humidity based on full-process water quality monitoring. The method for cultivating leeches at a constant temperature and humidity based on full-process water quality monitoring is performed by the above-mentioned constant temperature and humidity leech cultivation system based on full-process water quality monitoring, and the specific steps include: Step 1: Collect historical water quality parameters in the aquaculture pond, calculate the change rate of water quality parameters in the aquaculture pond, the water quality parameters include pH value, dissolved oxygen concentration, turbidity, water temperature and humidity, and score the water quality based on the expert scoring method to generate water quality indicators corresponding to the water quality parameters; Step 2: Design a multi-level water circulation system, set up multi-level filtration devices and oxygenation devices in the water flow path to ensure that impurities and harmful substances in the water are effectively removed, and calculate the water filtration efficiency; Step 3: After the water quality index is labeled on the water quality parameter, it is input into the constructed water quality optimization model for training and testing to obtain a qualified water quality optimization model; Step 4: Input the water quality parameters in the current breeding pond into the water quality optimization model to obtain the real-time water quality index. If the real-time water quality index deviates from the target water quality index, adjust the water quality environment in the breeding pond; Step 5: After collecting the historical growth status images of Philippine leeches and marking the health status probabilities as labels, they are input into the constructed health status model for training and testing to obtain a qualified health status model; Step 6: Regularly collect growth status images of the Philippine leech and input them into the tested healthy status model to determine the current health status of the Philippine leech.

[0036] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0037] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. Those skilled in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software methods depends on the specific application and design constraints of the technical solution.

[0038] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0039] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A constant temperature and humidity leech breeding system based on full-process water quality monitoring, characterized in that: include: The water quality parameter collection module is used to collect the historical water quality parameters in the breeding pond, calculate the change rate of the water quality parameters in the breeding pond, and score the water quality based on the expert scoring method to generate water quality indicators corresponding to the water quality parameters; The water filtration system design module is used to design a multi-level water circulation system, set up multi-level filtration devices and oxygenation devices in the water flow path to ensure that impurities and harmful substances in the water are effectively removed, and calculate the water filtration efficiency; The water quality optimization model construction module is used to label the water quality indicators on the water quality parameters and then input them into the constructed water quality optimization model for training and testing to obtain a qualified water quality optimization model; The real-time water quality monitoring and adjustment module is used to input the water quality parameters in the current breeding pond into the water quality optimization model to obtain the real-time water quality index. If the real-time water quality index deviates from the target water quality index, the water quality environment in the breeding pond is adjusted; The health status model construction module is used to collect the historical growth status images of Philippine cattle leeches and mark the health status probabilities as labels, and then input them into the constructed health status model for training and testing to obtain a health status model that passes the test; The health status judgment module is used to regularly collect the growth status images of the Philippine leech and input them into the tested qualified health status model to judge the current health status of the Philippine leech.

2. A constant temperature and humidity leech breeding system based on full-process water quality monitoring according to claim 1, characterized in that: The specific logic for calculating the rate of change of water quality parameters in the breeding pond is as follows: a pH meter, a dissolved oxygen sensor, a turbidity sensor, a water temperature sensor, and a humidity sensor are installed in the central area of ​​the breeding pond, 20 cm away from the water surface, to obtain the pH value, dissolved oxygen concentration, turbidity, water temperature, and humidity in the breeding pond; The formula for obtaining the pH value change rate within the △t time interval is: in, R pH(t) for t The pH value change rate at the time, pH ( t )for t The pH value at the time, pH ( t- △ t )for( t- △ t ) pH value at the moment, △ t is the time interval; The dissolved oxygen concentration, turbidity, water temperature and humidity in the culture pond at time t are calibrated as DO ( t ) , Tu ( t ) 、T ( t ) 、H ( t ), and similarly, the dissolved oxygen concentration change rate at time t is obtained R DO(t) , turbidity change rate R Tu(t) , water temperature change rate R T(t) , humidity change rate R H(t) .

3. A constant temperature and humidity leech breeding system based on full-process water quality monitoring according to claim 2, characterized in that: The specific logic for calculating water filtration efficiency is: A three-stage water circulation system is set up, which includes primary treatment, secondary treatment and tertiary treatment. The primary treatment includes installing a sedimentation tank at the water source inlet, the secondary treatment includes installing a filter after the sedimentation tank, and the tertiary treatment includes installing an aeration device after the filter, and installing water pumps at the outlet of the sedimentation tank, the outlet of the filter and the outlet of the aeration device; Turbidity sensors are installed at the inlet of the sedimentation tank and the outlet of the filter. The formula for obtaining the water filtration efficiency is: in, E is the filtration efficiency, C in is the influent turbidity, in units of mg / L , C out is the turbidity of the outlet water, in units of mg / L ; Maintain the water filtration efficiency at 90%. If the calculated water filtration efficiency is lower than 90%, the filtration system in the breeding pond needs to be inspected and maintained.

4. A constant temperature and humidity leech breeding system based on full-process water quality monitoring according to claim 3, characterized in that: The specific logic of the water quality optimization model that passed the test is as follows: the pH value, dissolved oxygen concentration, turbidity, water temperature and humidity of the breeding pond are collected and the change rate of each parameter is calculated. The water quality parameters, the change rate of each water quality parameter and the corresponding water quality index are generated into a sample data set according to the timestamp. The sample data set is divided into a training set and a test set with a division ratio of 7:

3. The linear regression model is selected to train the water quality optimization model. The trained water quality optimization model is then input into the data in the test set for testing. The mean square error is used as the evaluation indicator. When the mean square error value is in the range of [0.1,0.5], it indicates that the water quality optimization model training is completed.

5. A constant temperature and humidity leech breeding system based on full-process water quality monitoring according to claim 4, characterized in that: The specific logic for adjusting the water quality environment in the breeding pond is: The pH value, dissolved oxygen concentration, turbidity, water temperature and humidity in the aquaculture pond are collected regularly, and the change rate of water quality parameters is calculated and input into the trained water quality optimization model. The formula for obtaining real-time water quality indicators is as follows: in, Y Real-time water quality indicators output by the water quality optimization model, β0 is the constant intercept term, β1 , β2 , β3 , β4 , β5、 β6、 β7、 β8、 β9 is the weight coefficient of each variable after training; The real-time water quality index output by the model is compared with the preset target water quality index. If the real-time water quality index is higher or lower than the preset target water quality index, the pH value, dissolved oxygen concentration, turbidity and water temperature data in the breeding pond are compared with the preset water quality parameter thresholds. If the pH value in the breeding pond exceeds the preset threshold, acid or alkali is added according to the current pH value. If the dissolved oxygen concentration in the breeding pond is lower than the preset threshold, the operation time and intensity of the equipment are controlled to increase according to the difference between the current dissolved oxygen concentration and the threshold. If the turbidity in the breeding pond exceeds the preset threshold, a filtering device is used to remove suspended matter in the water and reduce the turbidity. If the water temperature in the breeding pond is higher or lower than the preset threshold, a heater is used to increase the water temperature or a cooling device is used to reduce the water temperature based on the difference between the current water temperature and the preset threshold. If the humidity in the breeding pond is higher or lower than the preset threshold, the humidity is reduced by using a water pump to circulate the water body or by increasing the water injection volume and using a humidifier to increase the humidity according to the difference between the current humidity and the preset threshold.

6. A constant temperature and humidity leech breeding system based on full-process water quality monitoring according to claim 5, characterized in that: The specific logic for constructing the health status model of Philippine cattle leeches is: Obtain images of the historical growth process of Philippine leeches, and experts annotate the collected images, assign corresponding health status probabilities according to the health status of healthy, mildly sick, and severely sick, generate training sets, input the training sets into the deep learning model, extract features based on convolutional neural networks, and use softmax The function outputs the health status probability of the Philippine leech. The objective function selects the cross entropy loss function. When the cross entropy loss function value is lower than 0.1, the model training is completed.

7. A constant temperature and humidity leech breeding system based on full-process water quality monitoring according to claim 6, characterized in that: The specific logic for judging the current health status of the Philippine leech is as follows: Input the current growth status image of the Philippine leech into the model, and according to the health status probability output by the model, if the health status probability P >0.7, the current Philippine leech is judged to be in a healthy state. If the probability of a healthy state is 0.4< P ≤0.7, the current Philippine leech is judged to be in a mildly sick state. If the probability of a healthy state is P ≤0.4, the current Philippine leech is judged to be in a severely ill state.

8. A method for cultivating leeches at a constant temperature and humidity based on full-process water quality monitoring, characterized in that: The method for cultivating leeches at a constant temperature and humidity based on full-process water quality monitoring is performed by the system for cultivating leeches at a constant temperature and humidity based on full-process water quality monitoring according to claims 1 to 7, and the specific steps include: Step 1: Collect historical water quality parameters in the aquaculture pond, calculate the change rate of water quality parameters in the aquaculture pond, the water quality parameters include pH value, dissolved oxygen concentration, turbidity, water temperature and humidity, and score the water quality based on the expert scoring method to generate water quality indicators corresponding to the water quality parameters; Step 2: Design a multi-level water circulation system, set up multi-level filtration devices and oxygenation devices in the water flow path to ensure that impurities and harmful substances in the water are effectively removed, and calculate the water filtration efficiency; Step 3: After the water quality index is labeled on the water quality parameter, it is input into the constructed water quality optimization model for training and testing to obtain a qualified water quality optimization model; Step 4: Input the water quality parameters in the current breeding pond into the water quality optimization model to obtain the real-time water quality index. If the real-time water quality index deviates from the target water quality index, adjust the water quality environment in the breeding pond; Step 5: After collecting the historical growth status images of Philippine leeches and marking the health status probabilities as labels, they are input into the constructed health status model for training and testing to obtain a qualified health status model; Step 6: Regularly collect growth status images of the Philippine leech and input them into the tested healthy status model to determine the current health status of the Philippine leech.

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