An ecological regulation model for indoor breeding of oncomelania

Abstract

The application discloses an ecological regulation model for indoor breeding of oncomelania, and relates to the technical field of snail breeding regulation. The model comprises a matching relationship between the number of indoor breeding units and the total amount of oncomelania breeding, which is used for realizing the standardized control of the initial oncomelania quantity of each breeding unit, ensuring the initial ecological balance of the experimental system, and determining the environmental regulation priority of the indoor oncomelania breeding unit based on the matching relationship. The application dynamically corrects the weight of the environmental parameter based on the risk intensity of different transmission stages of schistosoma, breaks through the bottleneck that the static prevention and control strategy is difficult to adapt to the change of the life cycle of parasites, and further realizes real-time monitoring of the fluctuation of biological characteristic parameters in the mating period, the pregnancy period and the reproductive period, so that the environmental regulation can accurately respond to the biological rhythm of the oncomelania population, ensures the sustainability of the indoor breeding of oncomelania to a certain extent, and reduces the risk of schistosomiasis transmission.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of snail breeding regulation, in particular to an ecological regulation model for indoor breeding of Oncomelania. BACKGROUND

[0002] Due to the limitations of water circulation in a closed environment, the lack of precision in temperature and humidity regulation, and the low degree of standardization in bait feeding during the indoor breeding of Oncomelania, the survival rate of Oncomelania fluctuates significantly. The traditional manual regulation mode often has response delays and poor parameter coupling when synchronously controlling light intensity, dissolved oxygen content, and bottom pH. Especially in the face of fluctuating day-night temperature differences or accumulation of bait metabolites, there is a lack of dynamic coordinated regulation mechanism. Therefore, an ecological regulation model for indoor breeding of Oncomelania is needed.

[0003] Through retrieval, the Chinese invention patent with the publication number "CN117413792A" discloses "a river crab ecological breeding method based on biological enzyme and MABR membrane water treatment technology". The application uses a microbial active liquid preparation with biological catalyst function composed of biological enzymes and modified yeast bacteria to inhibit fermentation, which converts harmful substances in organic sludge into various nutrients that can be absorbed and utilized by microorganisms. MABR equipment is installed in the pond to improve the pond bottom and purify the pond water, thereby improving the growth rate of river crabs. Microecological preparations and water adjusting organisms are reasonably used at key time nodes of river crab breeding. The basic principles of pond ecology are used to adjust the water, improve feed utilization and river crab immunity, avoid the use of chemical drugs, and improve economic and ecological benefits.

[0004] In addition, the Chinese invention patent with the publication number "CN115885903A" discloses "a prawn microecological breeding method based on peanut shell powder". The application uses agricultural waste peanut shell powder to prepare a fermentation liquid to regulate the breeding system of the object, which not only realizes the effective utilization of agricultural waste, reduces the breeding cost, but also realizes the effective regulation of prawn breeding environment. The complex microorganisms in the peanut shell powder fermentation liquid have multiple functions such as degrading peanut shell, inhibiting pathogenic bacteria, and removing harmful nitrogen elements, which can construct a good breeding environment.

[0005] However, the existing disclosed technology has established a basic technical framework in the field of aquatic breeding environment regulation, but its design principle has significant adaptation deviation with the dual biological attributes of the physiological characteristics of soft-bodied animals and the functions of parasitic hosts of Oncomelania, which is specifically manifested as follows: the existing environmental regulation scheme mostly adopts a single factor compensation mode, which fails to analyze the dynamic balance relationship of Oncomelania under the coupling action of multiple environmental parameters, and ignores the specific needs of parasites for the host reproduction process and the blocking strategy of the schistosomiasis transmission chain at the mechanism level, resulting in ecological sustainability limitations and the risk of parasitic population spread in the actual regulation process. SUMMARY

[0006] The present application aims to provide an ecological regulation model for indoor breeding of Oncomelania hupensis, so as to solve the problems in the background art.

[0007] To achieve the above-mentioned purpose, the present application provides the following technical solution: an ecological regulation model for indoor breeding of Oncomelania hupensis, comprising:

[0008] A matching relationship between the number of indoor breeding units and the total number of Oncomelania hupensis is established, which is used to realize the standardized control of the initial number of Oncomelania hupensis in each breeding unit and ensure the initial ecological balance of the experimental system;

[0009] The environmental regulation priority of the indoor Oncomelania hupensis breeding unit is determined based on the matching relationship, which is used to represent the influence degree of each environmental parameter on the breeding environment of Oncomelania hupensis;

[0010] The environmental regulation priority is integrated and optimized based on the transmission characteristics of blood flukes, which is used to reduce the influence of the host medium function of Oncomelania hupensis on the transmission of blood fluke disease;

[0011] The applicability of the integrated and optimized environmental regulation priority is judged according to the changes of the characteristic parameters during the breeding period of Oncomelania hupensis, which is used to reveal the influence of the changes of the environmental regulation parameters on the biological characteristic parameters of Oncomelania hupensis in the indoor breeding unit;

[0012] The environmental regulation priority of the indoor breeding unit is adjusted according to the applicability of the environmental regulation priority, which is used to realize dynamic environmental management and ensure that the breeding environment of Oncomelania hupensis meets its growth needs and effectively controls the transmission risk of blood fluke disease.

[0013] As a further optimization of the technical solution, the screening mechanism based on morphological characteristics comprises:

[0014] The three-dimensional morphological measurement of the shell of Oncomelania hupensis is performed by a visual sensor to obtain morphological characteristic data;

[0015] The target Oncomelania hupensis morphological characteristic screening threshold is retrieved from a cloud database by using Internet of Things technology;

[0016] The initial Oncomelania hupensis population is screened based on the obtained three morphological characteristic data, and the total number of Oncomelania hupensis is determined;

[0017] The total number of Oncomelania hupensis is evenly distributed according to the total number of indoor breeding units, thereby forming a matching relationship.

[0018] As a further optimization of the technical solution, the determination method of the environmental regulation priority set comprises:

[0019] A two-dimensional parameter distribution coordinate system is established according to the number of environmental parameters;

[0020] Obtaining the influence threshold of different environmental parameters in the breeding unit;

[0021] Obtaining the slope parameter value of each environmental parameter fitting line segment in the stable interval in the two-dimensional parameter distribution coordinate system;

[0022] According to the numerical size of the slope of the fitting line segment, the priority of different environmental parameters is given, and the environmental regulation priority is formed.

[0023] As a further preferred embodiment of the present technical solution, the method for integrating and optimizing the environmental regulation priority based on the transmission characteristics of schistosomes comprises:

[0024] Determining the transmission characteristics of schistosomes according to the Internet of Things;

[0025] Based on the characteristics of schistosomiasis transmission, a dynamic transmission correlation matrix is constructed under the environmental regulation priority;

[0026] Evaluating the priority of the correlation items in the dynamic transmission correlation matrix;

[0027] According to the priority of the correlation items, the weight of the corresponding environmental parameters is assigned to determine the weight distribution in the environmental regulation priority system.

[0028] As a further preferred embodiment of the present technical solution, the dynamic transmission correlation matrix is formed based on the coupling function relationship between the transmission characteristic parameters and the environmental regulation parameters;

[0029] The coupling function relationship is , wherein is a three-dimensional weight tensor, which is used to represent the regulation weight of the time point , the transmission stage and the environmental parameter , is used to represent the original regulation priority coefficient, that is, the initial priority value of the environmental parameter , the higher the priority, is used to represent the risk intensity of the transmission stage, that is, the schistosomiasis transmission risk intensity of the transmission stage , the higher the value, the greater the risk, is a time decay factor, the decay coefficient of the regulation effect with the passage of time, the closer to the end of the breeding, the more obvious the decay, is a natural exponential function, which is used to amplify the priority difference and strengthen the weight of the key parameters. It should be noted that is a mathematical constant, which is 2.71828, is a summation index, which is used to normalize the eight types of environmental parameters. It should be noted that the summation range is between 1 and 8;

[0030] is used to represent the time point , the transmission stage and environmental parameters The original score of the regulatory importance of the environmental parameters The sum of the scores of all 8 categories of environmental parameters at the same time and stage is used to realize normalization.

[0031] As a further preferred embodiment of the present technical solution, the method for evaluating the priority of the correlation items in the dynamic propagation correlation matrix comprises:

[0032] Based on the three-dimensional weight tensor and the corresponding environmental parameter category, a comprehensive risk entropy calculation formula is established, which is used to evaluate the priority of the correlation items in the dynamic propagation correlation matrix.

[0033] The comprehensive risk entropy calculation formula is: ;

[0034] The comprehensive risk entropy value represents the regulatory uncertainty of the environmental parameters , and the lower the comprehensive risk entropy value, the higher the priority, is a natural logarithm function, which is used to quantify the uncertainty of the weight distribution, is used to represent the amount of information of a single weight value, wherein close to 1, close to 0, the contribution is small, and if close to 0, is a negative large value, and the overall contribution after being multiplied by is small, and if is uniformly distributed, the absolute value of

[0035] In addition is used to represent all propagation stages and breeding cycles, and the comprehensive risk entropy of the environmental parameters in the entire breeding process is calculated. is used to represent the negative value generated by the correction logarithm operation, and to ensure that the final entropy value is non-negative.

[0036] As a further preferred embodiment of the present technical solution, the method for obtaining biological characteristic parameters comprises:

[0037] Obtain the biological characteristic parameters of snails in the grid test area before and after the breeding timing segment;

[0038] Synchronously collect real-time environmental parameters in the grid test area;

[0039] Construct a time series database of snail biological characteristic parameters and environmental parameters;

[0040] The application determines the applicability of the environment regulation priority according to the variation range of the biological characteristic parameters of the snail reproduction cycle.

[0041] Further preferably, the method for determining the applicability of the environment regulation priority comprises:

[0042] The variation degree of the biological characteristic parameters in the mating period, the pregnancy period and the reproduction period in the grid test area is obtained to determine,

[0043] When the biological characteristic parameters increase with the duration of the snail reproduction period, it indicates that the current environmental parameters are suitable for the survival and reproduction of the snails, and no environment regulation is needed.

[0044] Compared with the prior art, the application has the following advantages:

[0045] The ecological regulation model for the indoor snail cultivation solves the problem of ignoring the development heterogeneity in the traditional cultivation density control by establishing the morphological matching between the number of cultivation units and the total amount of snails. In addition, the model dynamically corrects the environmental parameter weight based on the risk intensity of different transmission stages of blood flukes, breaks through the bottleneck that the static prevention and control strategy is difficult to adapt to the changes of the life cycle of parasites, and further realizes the real-time monitoring of the fluctuation of the biological characteristic parameters in the mating period, the pregnancy period and the reproduction period, so that the environment regulation can accurately respond to the biological rhythm of the snail population, to a certain extent, guarantee the sustainability of the indoor snail cultivation, and reduce the risk of transmission of schistosomiasis. BRIEF DESCRIPTION OF DRAWINGS

[0046] Figure 1 The application discloses the construction steps of the regulation model;

[0047] Figure 2 The application discloses the operation steps of the screening mechanism;

[0048] Figure 3 The application discloses the determination method steps of the environment regulation priority set;

[0049] Figure 4 The application discloses the method steps of integrating and optimizing the environment regulation priority of the blood fluke transmission characteristics. DETAILED DESCRIPTION

[0050] With reference to the accompanying drawings, the technical solutions in the embodiments of the present application will be clearly and completely described below, obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work belong to the protection scope of the present application.

[0051] Before the innovation of the technical solutions of the present application is explained, the use background to be understood is as follows: Oncomelania hupensis as the intermediate host of Schistosoma japonicum is the key ecological link of schistosomiasis transmission, and based on the research on the biological characteristics of Oncomelania hupensis and the experimental requirements of in vitro culture of Schistosoma eggs, an ecological regulation model for indoor breeding of Oncomelania hupensis is constructed in the implementation process of the present application.

[0052] As shown in Figure 1 , the method comprises steps S100-S500.

[0053] Specifically, step S100: establishing a matching relationship between the number of indoor breeding units and the total amount of Oncomelania hupensis breeding.

[0054] It should be noted that step 100 realizes the standardized control of the initial number of Oncomelania hupensis in each breeding unit by evenly distributing the total amount of Oncomelania hupensis population according to the number of indoor breeding units, ensures the initial ecological balance of the experimental system, and plays an initial ecological balance modeling in the process of ecological regulation model.

[0055] It should be particularly noted that in the process of determining the total amount of Oncomelania hupensis breeding in step S100, preliminary screening of the initially obtained Oncomelania hupensis population is carried out according to the morphological characteristics of the target Oncomelania hupensis, and non-target individuals with phenotypic differences from the target Oncomelania hupensis are removed, wherein the screening mechanism according to the morphological characteristics ensures the genetic homogeneity of the breeding population and effectively prevents experimental data deviation caused by mixed foreign species.

[0056] As a preferred embodiment, it is worth noting that in the present embodiment, reference Figure 2 can be known that the screening mechanism according to the morphological characteristics comprises steps S101-S104.

[0057] Step S101: measuring the three-dimensional morphology of the Oncomelania hupensis shell according to the visual sensor to obtain morphological characteristic data, i.e. the height of the Oncomelania hupensis shell, the number of spiral whorls and the spiral rib spacing parameters, and the three-dimensional morphology corresponds to the height of the Oncomelania hupensis shell, the number of spiral whorls and the spiral rib spacing parameters respectively.

[0058] Step S102: using Internet of Things technology to retrieve the target Oncomelania hupensis morphological characteristic screening threshold from the cloud database.

[0059] It should be noted that, in this embodiment, the shell height screening threshold is set to 5.2±0.3mm, the spiral layer number screening threshold is 6.0±0.05 layers, and the spiral rib spacing screening threshold is 0.15±0.02mm. In addition, it should be added that, in this embodiment, the cloud database is an accessory in the existing Internet of Things technology, so the applicant will not elaborate on this.

[0060] Step S103: Screening the initially acquired snail population based on the three acquired morphological characteristic data, and determining the total amount of snail cultivation.

[0061] As a preferred embodiment, it is worth noting that in this embodiment, for determining the indoor breeding units, it is necessary to ensure that the environmental parameters in each indoor breeding unit remain consistent.

[0062] Specifically, in this embodiment, the total indoor breeding unit is divided into NxN grid breeding areas, and a distributed sensor array component is used in each grid breeding area to collect the environmental parameters in each grid area in real time. Each grid breeding area is equipped with an independent circulation device, and all grid breeding areas are controlled by a main control terminal to obtain the collected environmental parameters in the grid area, namely water temperature data, humidity data, light intensity data, oxygen content data, snail density data, excrement data, pH value data and water hardness data. Therefore, the sensor array component includes a water temperature sensor, a humidity sensor, a light intensity sensor, an oxygen content sensor, a visual sensor, a secretion analysis sensor, a pH value sensor and a water quality sensor.

[0063] It is worth noting that in the technical solution proposed in this application, the distributed sensor array assembly includes a temperature sensor arranged at the bottom of the breeding pond, a humidity sensor suspended 10 cm above the water surface, a dissolved oxygen probe installed in the middle of the pond wall, and visual sensors deployed at the four corners of the grid area.

[0064] It should be further supplemented that in the present embodiment, each grid culture area is also provided with devices corresponding to the sensor array assembly. In the prior art field, these devices are three types of basic regulation and control devices, namely, micro water purifier, semiconductor temperature control module and automatic feeder. In actual use, the micro water purifier issues instructions for replacing the calcium carbonate filter core according to the pH value and water hardness data of the culture water. The semiconductor temperature control module can adjust the power of the semiconductor cooling fin in real time according to the deviation of the water temperature data from the set threshold value, so as to adjust the temperature of the culture water. The automatic feeder feeds at fixed points and fixed times by visually analyzing the density of snails. In addition, a programmable light supplementing lamp group is arranged at the top of each grid area, the spectral ratio of which is dynamically adjusted every hour according to the light intensity sensor data. A carbon dioxide / O2 double-channel gas exchange valve is also configured to realize oxygen supply through the data fusion of the dissolved oxygen probe and the atmospheric oxygen content sensor.

[0065] It should be supplemented that since the micro water purifier, the semiconductor temperature control module and the automatic feeder are common auxiliary devices for culture in the prior art, the applicant does not make specific description and supplement on the working principle and specific structure of the micro water purifier, the semiconductor temperature control module and the automatic feeder.

[0066] Step S104: The total number of snail culture is evenly distributed according to the total amount of indoor culture unit, so as to form a matching relationship.

[0067] Step S200: Determine the environmental regulation priority of the indoor snail culture unit based on the matching relationship.

[0068] It should be emphasized that the regulation priority in this step is used to represent the influence degree of each environmental parameter on the snail culture environment, which plays a role in environmental regulation priority judgment.

[0069] It is worth noting that referring to Figure 3 It can be seen that in the present application, the determination method of the environmental regulation priority set comprises steps S201-S204.

[0070] Step S201: Establish a two-dimensional parameter distribution coordinate system according to the number of environmental parameters.

[0071] Specifically, eight types of environmental parameters (water temperature, humidity, light intensity, dissolved oxygen content, snail density, excrement concentration, pH value and water hardness) are time-series integrated to construct a two-dimensional parameter distribution coordinate system.

[0072] It should be noted that the horizontal axis of the two-dimensional parameter distribution coordinate system is the time variable (unit: day), and the vertical axis is the normalized parameter value (dimensionless). Due to the significant dimensional difference of each parameter, a standardization preprocessing procedure needs to be performed before the coordinate system is constructed, which includes data cleaning, outlier removal, missing value interpolation and normalization. It should be noted that the standardization preprocessing procedure is a conventional technique for environmental data preprocessing, and the algorithm for running the standardization preprocessing procedure is well known and commonly used in the art, so it will not be described here.

[0073] Step S202: Obtain the influence threshold of different environmental parameters in the breeding unit.

[0074] The influence threshold is mapped in the two-dimensional parameter distribution coordinate system, which is used to divide the real-time environmental parameter fitting line segment in the two-dimensional parameter distribution coordinate system into two functional domains, stable zone and controllable zone. When the real-time environmental parameter fitting line segment crosses the influence threshold boundary, the control instruction of the corresponding parameter is triggered.

[0075] In addition, it should be further supplemented that the indoor breeding unit is divided into N×N grid test areas (N≥5) in this step, 50% of which are used as a control group to maintain the baseline environmental parameters, and the remaining 50% of the test area is subjected to multi-parameter gradient control through the host terminal. Taking water temperature control as an example, an 18-28℃ temperature control gradient (ΔT=0.5℃) is set for the experimental group, each group lasts for 3 breeding cycles (cycle length 14 days), the snail movement frequency and shell growth rate are quantitatively obtained through visual sensors, and the water body calcium carbonate deposition amount change is monitored through water quality sensors and excretion analysis sensors. Through this test, the activity of snails (shell growth rate and calcium carbonate deposition amount change) under different scenarios of water temperature environmental parameters is determined within 3 breeding cycles, and then the highest temperature value of snails under different temperature control gradients is taken as the influence threshold of water temperature in this scenario. Similarly, the same gradient control test is performed on the remaining seven types of environmental parameters to determine their optimal control thresholds, and the numerical value of the influence threshold and the corresponding environmental parameter type are mapped into the two-dimensional parameter distribution coordinate system.

[0076] S203: Obtain the slope parameter value of each environmental parameter fitting line segment in the stable zone of the two-dimensional parameter distribution coordinate system.

[0077] It should be noted that in this application, the slope parameter value of the environmental parameter fitting line segment in the stable zone is used to represent the sensitivity of the environmental parameter to the growth state of the snail.

[0078] Step S204: Arrange priority to different environmental parameters according to the numerical value of the slope of the fitting line segment, and form an environmental control priority.

[0079] Step S300: Integrate and optimize the environmental control priority based on the blood fluke transmission characteristics.

[0080] It is worth noting that, since the transmission characteristics of schistosomes are crucial in the ecological regulation of oncomelania indoor breeding, in step S300, the environmental regulation priority is integrated and optimized according to the transmission characteristics of schistosomes, so as to avoid accelerating the transmission of schistosomes due to improper environmental regulation, thereby playing a role in the integration and optimization of transmission risk in the process of ecological regulation model construction.

[0081] As a preferred embodiment, with reference to Figure 4 It can be seen that, in the present embodiment, the method of integrating and optimizing the environmental regulation priority of schistosome transmission characteristics includes steps S301-S304.

[0082] Step S301: Determine the transmission characteristics of schistosomes according to the Internet.

[0083] It should be clear that, in the present application, the transmission characteristics of schistosome life cycle can be obtained by the parasitic disease monitoring platform of the CDC in step S301, including: the threshold temperature of miracidium escape (23-26℃), the effective accumulated temperature of sporocyst development (≥230℃·day), and the survival time of cercaria in water (12-48 hours).

[0084] Step S302: Based on the characteristics of schistosome transmission, a dynamic transmission correlation matrix is constructed under the environmental regulation priority.

[0085] It should be noted that, in this step, a coupling function relationship between the transmission characteristic parameters and the environmental regulation parameters is established: , wherein is a three-dimensional weight tensor, which is used to represent the regulation weight of the time point , the transmission stage and the environmental parameter , is used to represent the original regulation priority coefficient, that is, the higher the initial priority value of the environmental parameter , the higher the priority, is used to represent the risk intensity of the transmission stage, that is, the higher the schistosome transmission risk intensity of the transmission stage , the greater the risk, is a time decay factor, and the decay coefficient of the regulation effect is more obvious as the breeding period approaches, is a natural exponential function, which is used to amplify the priority difference and strengthen the weight of key parameters. It should be supplemented that is a mathematical constant, which is 2.71828, is a summation index, which is used to normalize the 8 types of environmental parameters. It should be supplemented that the summation range is between 1 and 8.

[0086] It is worth noting that, in the function relationship formula proposed in the present application, is used to represent the time point , the transmission stage and environmental parameters The original score of the importance of regulation, in addition to the function relationship proposed in this application, for representing the sum of the scores of all 8 categories of environmental parameters at the same time and stage Realize normalization.

[0087] It should be further pointed out that in the function relationship proposed in this application, The ranking result from step S204 (ranking based on slope parameter value), Epidemiological data from the CDC parasitic disease monitoring platform (assigned according to historical outbreak statistics), According to the length of the breeding cycle, it needs to be supplemented that The maximum value is 42 days, In actual calculation, = .

[0088] As a preferred embodiment, the coupling function relationship proposed in this application is used in actual use, assuming that the obtained temperature ( =1) and PH=2 ( =2), in the transmission stage, the cercaria of schistosome escapes ( =1), the time point is the tenth day ( =10, ≈0.76), 0.9, 0.7, 1.2, 6.4.

[0089] At this time, the temperature weight is ;

[0090] At this time, the PH weight is ;

[0091] At this time, the sum of the weights of other parameters is .

[0092] Therefore, the sum of the denominator is 2.27+1.89+4.5≈8.66,

[0093] So finally , .

[0094] Step S303: Evaluate the priority of the correlation items in the dynamic transmission correlation matrix.

[0095] Specifically, the weight tensor obtained in the acquisition step S302 and the corresponding environment parameter category are substituted into the comprehensive risk entropy calculation formula.

[0096] It is worth noting that in the technical solution proposed in the present application, the comprehensive risk entropy calculation formula is: It should be noted that, represents the comprehensive risk entropy value, that is, the regulatory uncertainty of the environment parameter The lower the comprehensive risk entropy value, the higher the priority, is a natural logarithm function, which is used to quantify the uncertainty of the weight distribution, is used to represent the amount of information of a single weight value, wherein close to 1 (high concentration of weights), then close to 0, the contribution is small, and if close to 0 (weight dispersion), then is a negative large value, and the overall contribution after multiplying is small, and if is uniformly distributed (multiple parameter weights are similar), then the absolute value becomes larger, and the entropy value becomes higher, and it should be noted that in the present application, the higher the entropy value, the more unpredictable the regulatory effect.

[0097] In addition, it should be added that in the comprehensive risk entropy calculation formula proposed in the present application, is used to represent all propagation stages (3 stages) and breeding cycles (42 days), and the comprehensive risk entropy of the environment parameter in the entire breeding process, (negative sign) is used to represent the correction of the negative value generated by the logarithmic operation, to ensure that the final entropy value is non-negative.

[0098] As a preferred embodiment, when the comprehensive risk entropy calculation formula is substituted into actual calculation, it is assumed that the survival period of the tail cercaria ( =1.5 high risk), the time is the fifth day, ( weakness is small), and the parameter: dissolved oxygen content ( =0.8, medium priority)

[0099] At this time = ;

[0100] Based on the above-mentioned numerical value substituted into the comprehensive risk entropy calculation formula, the following is obtained:

[0101] =

[0102] .

[0103] Finally, the entropy value of another parameter is calculated, and the two entropy values are compared to assign a high priority to the one with a lower entropy value.

[0104] Step S304: According to the association project priority, the corresponding environmental parameter is weighted, and the weight distribution in the environmental regulation priority system is determined.

[0105] Step S400: According to the change of the characteristic parameter of the snail during the breeding period, the applicability of the integrated and optimized environmental regulation priority is determined.

[0106] It should be noted that in step S400, the biological characteristic parameters include: snail density and snail activity.

[0107] It is worth noting that in the technical solution proposed in the present application, the breeding timing period of the snail is divided into the mating period, the pregnancy period and the reproductive period.

[0108] It should be noted that in the prior art, the adaptive environmental regulation of the mating and breeding of the snail in nature is temperature (20-25℃) and humidity (more than 80%), and the breeding period is generally 30 days. However, the present application is indoor breeding, so the breeding cycle of the snail will break the natural law due to the control of the ecological environment.

[0109] Therefore, the core role of step S400 in the present application is to establish the mapping relationship between the environmental regulation parameters before and after the breeding timing period and the biological characteristic parameters of the snail, to reveal the influence of the change of the environmental regulation parameters on the biological characteristic parameters of the snail in the indoor snail breeding unit, and to play a role in the verification of the regulation model construction in the breeding period.

[0110] It is worth noting that with reference to Figure 4 It can be seen that in the present application, the method for obtaining biological characteristic parameters includes steps S401-S404.

[0111] Step S401: Obtain the biological characteristic parameters of the snail in the grid test area before and after the breeding timing period.

[0112] It should be noted that step S401 is specifically realized by the visual sensor deployed on the top of each grid.

[0113] Specifically, for snail density statistics, the visual sensor is used to identify the morphology of the snail shell at 08:00 / 14:00 / 20:00 every day.

[0114] For the detection of snail activity, any one snail in the grid test area is marked by using a visual sensor, and the position of the snail in the grid test area during the breeding time period is recorded. Based on the change of the position, it is determined whether the snail is alive. It should be noted that the position of the snail should not be changed due to the change of the environmental parameters in the three breeding cycles, that is, a transparent acrylic marker ring is used to mark the base of the snail without damage.

[0115] Step S402: Synchronously collect real-time environmental parameters in the grid test area, including water temperature, air temperature, humidity and light intensity data.

[0116] Specifically, the environmental parameters of each grid unit are recorded by a distributed environmental sensor network at an interval of 10 minutes. The data collection period needs to be spatiotemporally aligned with the snail biological feature monitoring period in step S401.

[0117] Step S403: Construct a time series database of snail biological feature parameters and environmental parameters.

[0118] It should be noted that the data in step S403 is divided into stages according to the mating period (7 days), the pregnancy period (15 days) and the reproductive period (8 days).

[0119] Step S404: Determine the applicability of the environmental regulation priority according to the change range of the snail breeding cycle biological feature parameters.

[0120] It should be noted that the determination in step S404 is determined by obtaining the change degree of the biological feature parameters in the grid test area during the mating period (7 days), the pregnancy period (15 days) and the reproductive period (8 days). When the change degree is rising (i.e., the collected biological feature parameters increase with the continuous breeding of the snails), it indicates that the current environmental parameters are suitable for the survival and reproduction of the snails, and no environmental regulation is needed. When the change degree is decreasing (i.e., the collected biological feature parameters decrease with the continuous breeding of the snails), the priority of the environmental regulation is determined according to the decreasing range. The greater the decreasing range, the more unfavorable the current environmental parameters for the survival and reproduction of the snails, and the environmental regulation priority of the breeding unit needs to be adjusted.

[0121] Step S500: Adjust the environmental regulation priority of the indoor breeding unit according to the applicability of the environmental regulation priority.

[0122] Specifically, the biological characteristic parameters and the environmental parameters in each stage (mating period, pregnancy period, and reproductive period) of the snail breeding cycle are acquired, the environmental parameters such as temperature, humidity, and light intensity are changed by using the control variable method, the change of the biological characteristic parameters is observed and recorded, the change trend of the biological characteristic parameters under different environmental parameters is compared and analyzed, it is determined which environmental parameters have a significant influence on the survival and reproduction of the snails, and the environmental regulation strategy of each breeding unit is adjusted accordingly, for example, if it is found that the temperature rise in the mating period of a breeding unit leads to a significant decrease in the biological characteristic parameters, the temperature control strategy of the unit is adjusted in priority, so as to create the environmental conditions for the snail reproduction, the in-vitro snail breeding environment is regulated by adjusting the priority of the environmental regulation, and the survival rate and the reproduction efficiency of the snails are improved.

[0123] It should be added that step S500 is used for dynamic regulation implementation in the ecological regulation model construction process.

[0124] Although the embodiments of the present application have been shown and described, it can be understood by those skilled in the art that various changes, modifications, replacements, and variations can be made to the embodiments without departing from the principles and spirits of the present application, and the scope of the present application is defined by the appended embodiments and their equivalents.

Claims

1. An ecological regulation method for indoor breeding of Oncomelania, characterized in that, The method comprises the following steps: establishing a matching relationship between the number of indoor breeding units and the total number of snail breeding, which is used to realize the standardized control of the initial number of snails in each breeding unit and ensure the initial ecological balance of the experimental system; determining the environmental regulation priority of the indoor snail breeding unit based on the matching relationship, which is used to represent the influence degree of each environmental parameter on the snail breeding environment; integrating and optimizing the environmental regulation priority based on the transmission characteristics of blood flukes, which is used to reduce the influence of snail host media on the transmission of blood fluke disease; determining the applicability of the integrated and optimized environmental regulation priority according to the change of the characteristic parameters of snails during the breeding period, which is used to reveal the influence of the change of the environmental regulation parameters on the biological characteristic parameters of snails in the indoor snail breeding unit; adjusting the environmental regulation priority of the indoor breeding unit according to the applicability of the environmental regulation priority, which is used to realize dynamic environmental management and ensure that the snail breeding environment meets the growth needs of snails and effectively controls the transmission risk of blood fluke disease; The method for integrating and optimizing the environmental regulation priority based on the transmission characteristics of blood flukes comprises the following steps: determining the transmission characteristics of blood flukes according to the Internet of Things; constructing a dynamic transmission correlation matrix under the environmental regulation priority based on the characteristics of blood fluke transmission; evaluating the priority of the correlation items in the dynamic transmission correlation matrix; assigning weights to the corresponding environmental parameters according to the priority of the correlation items to determine the weight distribution of the environmental regulation priority system; the dynamic transmission correlation matrix is formed based on the coupling function relationship between the transmission characteristic parameters and the environmental regulation parameters; wherein the coupling function is wherein is a three-dimensional weight tensor, used to represent the control weight of the propagation stage , the propagation stage and the environmental parameters , is used to represent the original control priority coefficient, that is, the higher the initial priority value of the environmental parameter , the higher the priority, is used to represent the risk intensity of the propagation stage, that is, the higher the schistosome transmission risk intensity of the propagation stage , the greater the risk, is a time decay factor, a decay coefficient of the control effect over time, the closer to the end of the breeding, the more obvious the decay, is a natural exponential function, used to amplify the priority difference and strengthen the weight of the key parameters, it should be noted that is a mathematical constant, taking 2.71828, is a summation index, used to normalize the 8 types of environmental parameters, it should be noted that the summation range is between 1 and 8; a raw score for indicating the regulatory importance of the time point , the propagation stage and the environmental parameter , a raw score for indicating the regulatory importance of the time point and the stage , The method for evaluating the priority of the correlation items in the dynamic transmission correlation matrix comprises the following steps: based on the three-dimensional weight tensor and the corresponding environmental parameter types, a comprehensive risk entropy calculation formula is established, which is used to evaluate the priority of the correlation items in the dynamic transmission correlation matrix; The comprehensive risk entropy calculation formula is: ; represents the comprehensive risk entropy value, i.e. represents the regulatory uncertainty of the environmental parameters The lower the comprehensive risk entropy value, the higher the priority, is a natural logarithm function, used to quantify the uncertainty of the weight distribution, is used to represent the amount of information of a single weight value, wherein is close to 1, then is close to 0, the contribution is small, and if is close to 0, then is a negative large value, multiplied by the overall contribution is small after is uniform, then the absolute value of is large, and the entropy value is high, In addition For representing all propagation stages and farming cycles, environmental parameters are calculated The integrated risk entropy throughout the farming process, For representing the negative values produced by the correction logarithm operation, ensuring the final entropy value is non-negative.

2. The ecological regulation method for indoor breeding of Oncomelania according to claim 1, characterized in that: The screening mechanism based on morphological characteristics comprises the following steps: performing three-dimensional morphological measurement on the snail shell by a visual sensor to obtain morphological characteristic data; using the Internet of Things technology to retrieve target snail morphological characteristic screening thresholds from a cloud database; screening the initially obtained snail population according to the three morphological characteristic data and determining the total number of snails; distributing the total number of snails in the breeding unit according to the total number of indoor breeding units to form a matching relationship.

3. The ecological control method for indoor culture of Oncomelania snails according to claim 1, characterized in that: The method for determining the environmental regulation priority set comprises the following steps: establishing a two-dimensional parameter distribution coordinate system according to the number of environmental parameters; obtaining the influence threshold of different environmental parameters in the breeding unit; obtaining the slope parameter value of each environmental parameter fitting line segment in the stable interval in the two-dimensional parameter distribution coordinate system; arranging the priority of different environmental parameters according to the numerical value of the slope of the fitting line segment, and forming the environmental regulation priority.

4. The ecological regulation method for indoor breeding of Oncomelania according to claim 1, characterized in that: The method for obtaining biological characteristic parameters comprises the following steps: obtaining the biological characteristic parameters of the snails in the grid test area before and after the breeding time sequence; synchronously collecting real-time environmental parameters in the grid test area; constructing a time sequence database of snail biological characteristic parameters and environmental parameters; determining the applicability of the environmental regulation priority according to the change range of the biological characteristic parameters of snails during the breeding period.

5. The ecological regulation method for indoor breeding of Oncomelania according to claim 4, characterized in that: The method for determining the applicability of the environmental regulation priority comprises the following steps: By acquiring the variation degree of the biological characteristic parameters in the meshed test area during the mating period, the conception period and the reproductive period, it is determined whether the current environmental parameters are suitable for the survival and reproduction of the snails, When the collected biological characteristic parameters increase with the continuation of the snail breeding period, it indicates that the current environmental parameters are suitable for the survival and reproduction of the snails, and no environmental regulation is needed. When the collected biological characteristic parameters decrease with the continuation of the snail breeding period, the priority of the environmental regulation of the breeding unit needs to be adjusted according to the decrease amplitude. The greater the decrease amplitude, the more unfavorable the current environmental parameters are for the survival and reproduction of the snails.

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