Hepialus armoricanus larva breeding method

Abstract

The invention discloses a hepialus armoricanus larva breeding method, and relates to the technical field of cordyceps sinensis breeding. By introducing a precise control algorithm and an automatic management system, the environment control precision is improved, the temperature and humidity are precisely adjusted through a PID control algorithm, the environment fluctuation can be greatly reduced, and it is ensured that hepialus armoricanus larvae grow under the optimal environment condition. The survival rate and the growth speed of the larvae can be improved; meanwhile, the feeding strategy is optimized, the food supply amount is dynamically adjusted according to the growth model and real-time monitoring data, it can be ensured that the hepialus armoricanus larvae obtain a proper amount of food in different growth stages, and through fine management, the growth quality of the larvae can be improved, and resource waste can be avoided.

Description

Technical Field

[0001] This invention relates to the field of cordyceps cultivation technology, specifically a method for cultivating bat moth larvae. Background Technology

[0002] The "insect" in Cordyceps sinensis refers to the larvae of the ghost moth. These ghost moth larvae serve as a carrier for the Cordyceps fungus. Currently, the cultivation of ghost moth (or similar insect) larvae primarily relies on artificial control of temperature, humidity, and food supply. In many research and cultivation methods, environmental control is typically achieved through human observation and adjustment. However, this method involves significant human intervention and lacks efficient, automated management tools.

[0003] Current technologies typically employ simple manual methods, such as timed feeding, timed humidification, or heating. However, with technological advancements, particularly in automation, increasingly sophisticated temperature and humidity control, automatic feeding, and growth monitoring technologies are being introduced into insect farming. These technologies significantly improve farming efficiency and maintain the health and growth rate of organisms during large-scale cultivation.

[0004] Although existing technologies offer some automated control methods, the following shortcomings still exist:

[0005] Insufficient environmental control precision: Existing temperature and humidity control methods are mostly based on simple timers or manual operation, resulting in low precision and susceptibility to temperature and humidity fluctuations, which negatively impact the healthy growth of ghost moth larvae. The PID control parameters of existing systems are generally fixed, failing to fully consider the different needs of ghost moth larvae at different growth stages.

[0006] Inaccurate feeding management: Current feeding control techniques often involve fixed times and quantities, without dynamic adjustments based on the larvae's growth needs. Inaccurate food supply can lead to larvae being excessively hungry or overnourished, thus affecting their growth rate and quality.

[0007] Low level of automation: Current technologies have a relatively low level of automation, and many farming processes still require manual intervention. This not only increases labor costs but also makes the system less flexible in responding to emergencies.

[0008] Insufficient monitoring and data collection: Current technologies lack systematic data collection and analysis of the growth process of ghost moth larvae, particularly regarding the relationship between growth rate and environmental variables (such as temperature, humidity, and food intake), which has not been thoroughly explored and modeled. Therefore, existing technologies have failed to utilize data-driven methods for optimization.

[0009] Therefore, a new solution is needed to address the above problems. Summary of the Invention

[0010] The purpose of this invention is to provide a method for cultivating bat moth larvae to solve the technical problems mentioned in the background art.

[0011] To achieve the above objectives, the present invention provides the following technical solution: a method for cultivating ghost moth larvae, comprising at least the following steps:

[0012] S1: The design uses a PID control algorithm to adjust the temperature and humidity in real time, ensuring that the temperature and humidity are maintained within the suitable range for the rearing of ghost moth larvae;

[0013] S2: Build a food supply control algorithm to control the food supply for bat moth larvae, adjusting it according to their growth stage, number, and health status;

[0014] S3: Design a growth rate model to predict and deduce the growth of larvae, and adjust the breeding strategy based on the combination of prediction and actual situation.

[0015] Furthermore, the PID control algorithm includes at least temperature regulation and humidity regulation;

[0016] The temperature control design is as follows:

[0017] The optimal temperature for ghost moth larvae is 22-28℃. By controlling the ambient temperature, a target temperature T can be set. target And it is controlled by the following formula:

[0018]

[0019] Where: e(t) = T target -T(t) is the temperature error; K p For proportional gain; K i K is the integral gain; d This is the differential gain; The symbol is for the derivative; P(t) is the controller output, i.e., the power of the heating or cooling equipment.

[0020] By adjusting K p K i and K d This allows for precise temperature control, preventing temperature fluctuations from affecting larval growth.

[0021] The humidity control design is as follows:

[0022] The goal of humidity control is to maintain the ambient humidity between 60% and 80%, assuming the current humidity H(t) and the target humidity H target The difference between these parameters determines the operation of the humidifier or dehumidifier, and is controlled by the following formula:

[0023]

[0024] Where: e humidity (t)=H target -H(t) is the humidity error; K p ′、K i ′、and K d ′ represents the PID parameters of the humidity controller; P humidity (t) is the output power of the humidifier or dehumidifier.

[0025] Furthermore, in the food supply control algorithm, the amount of food ingested by the larvae is related to their growth rate G(t), and the amount of food supplied F(t) is affected by the amount of food remaining in the environment S(t).

[0026] To ensure that each larva receives enough food, the following formula is used:

[0027] F(t) = α·S(t)·G(t)

[0028] Where: F(t) is the amount of food ingested by each larva; α is a constant representing the ratio between food ingestion and larval growth; S(t) is the amount of food remaining in the current environment; and G(t) is the larval growth rate.

[0029] Furthermore, in the growth rate model, the larval body weight W(t) changes with time, and the growth rate... Determined by environmental factors;

[0030] Temperature T(t), humidity H(t), and food intake F(t) have a direct impact on its growth. The growth rate is described by the following formula:

[0031]

[0032] Where: W(t) is the larval weight; β is the growth coefficient, reflecting the influence of environmental factors on larval growth; T(t), H(t), and F(t) are temperature, humidity, and food intake, respectively;

[0033] Based on this growth model, it is possible to determine when different breeding strategies are initiated when the larval weight exceeds a set threshold.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] This invention improves environmental control precision by introducing precise control algorithms and an automated management system. Through PID control algorithms, temperature and humidity are precisely adjusted, significantly reducing environmental fluctuations and ensuring that ghost moth larvae grow under optimal conditions. This contributes to improving larval survival and growth rates.

[0036] Meanwhile, optimizing the feeding strategy and dynamically adjusting the food supply based on the growth model and real-time monitoring data can ensure that the larvae of the ghost moth receive an appropriate amount of food at different growth stages. This refined management can not only improve the growth quality of the larvae, but also avoid waste of resources.

[0037] Data-driven optimization, by collecting data on the growth status and environmental conditions of ghost moth larvae and combining it with growth models, can achieve continuous process optimization. Through data analysis, potential optimization points can be discovered, further improving breeding results.

[0038] These technological improvements can significantly increase the efficiency and quality of bat moth larvae rearing while reducing labor costs, providing strong support for large-scale, precision farming. Detailed Implementation

[0039] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0040] A method for raising bat moth larvae includes at least the following steps:

[0041] S1: The design uses a PID control algorithm to adjust the temperature and humidity in real time, ensuring that the temperature and humidity are maintained within the suitable range for the rearing of ghost moth larvae;

[0042] S2: Build a food supply control algorithm to control the food supply for bat moth larvae, adjusting it according to their growth stage, number, and health status;

[0043] S3: Design a growth rate model to predict and deduce the growth of larvae, and adjust the breeding strategy based on the combination of prediction and actual situation.

[0044] PID control algorithms include at least temperature and humidity regulation;

[0045] The temperature control design is as follows:

[0046] The optimal temperature for ghost moth larvae is 22-28℃. By controlling the ambient temperature, a target temperature T can be set. target And it is controlled by the following formula:

[0047]

[0048] Where: e(t) = T target -T(t) is the temperature error; K p For proportional gain; K i K is the integral gain; d This is the differential gain; The symbol is for the derivative; P(t) is the controller output, i.e., the power of the heating or cooling equipment.

[0049] By adjusting K p K i and K d This allows for precise temperature control, preventing temperature fluctuations from affecting larval growth.

[0050] The humidity control design is as follows:

[0051] The goal of humidity control is to maintain the ambient humidity between 60% and 80%, assuming the current humidity H(t) and the target humidity H target The difference between these parameters determines the operation of the humidifier or dehumidifier, and is controlled by the following formula:

[0052]

[0053] Where: e humidity (t)=H target -H(t) is the humidity error; K p ′、K i ′、and K d ′ represents the PID parameters of the humidity controller; P humidity (t) is the output power of the humidifier or dehumidifier.

[0054] In the food supply control algorithm, the amount of food consumed by larvae is related to their growth rate G(t), and the amount of food supplied F(t) is affected by the amount of food remaining in the environment S(t).

[0055] To ensure that each larva receives enough food, the following formula is used:

[0056] F(t) = α·S(t)·G(t)

[0057] Where: F(t) is the amount of food ingested by each larva; α is a constant representing the ratio between food ingestion and larval growth; S(t) is the amount of food remaining in the current environment; and G(t) is the larval growth rate.

[0058] In the growth rate model, the larval body weight W(t) changes with time, and the growth rate... Determined by environmental factors;

[0059] Temperature T(t), humidity H(t), and food intake F(t) have a direct impact on its growth. The growth rate is described by the following formula:

[0060]

[0061] Where: W(t) is the larval weight; β is the growth coefficient, reflecting the influence of environmental factors on larval growth; T(t), H(t), and F(t) are temperature, humidity, and food intake, respectively;

[0062] Based on this growth model, it is possible to determine when different breeding strategies are initiated when the larval weight exceeds a set threshold.

[0063] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, it is intended that all variations falling within the meaning and scope of equivalents of the claims be included within the present invention.

Claims

1. A method for cultivating ghost moth larvae, characterized in that: At least the following steps are included: S1: The design uses a PID control algorithm to adjust the temperature and humidity in real time, ensuring that the temperature and humidity are maintained within the suitable range for the rearing of ghost moth larvae; S2: Build a food supply control algorithm to control the food supply for bat moth larvae, adjusting it according to their growth stage, number, and health status; S3: Design a growth rate model to predict and deduce the growth of larvae, and adjust the breeding strategy based on the combination of prediction and actual situation.

2. The method for cultivating ghost moth larvae according to claim 1, characterized in that: The PID control algorithm includes at least temperature regulation and humidity regulation; The temperature control design is as follows: The optimal temperature for ghost moth larvae is 22-28℃. By controlling the ambient temperature, a target temperature T can be set. target And it is controlled by the following formula: Where: e(t) = T target -T(t) is the temperature error; K p For proportional gain; K i K is the integral gain; d This is the differential gain; The symbol is for the derivative; P(t) is the controller output, i.e., the power of the heating or cooling equipment. By adjusting K p K i and K d This allows for precise temperature control, preventing temperature fluctuations from affecting larval growth. The humidity control design is as follows: The goal of humidity control is to maintain the ambient humidity between 60% and 80%, assuming the current humidity H(t) and the target humidity H target The difference between these parameters determines the operation of the humidifier or dehumidifier, and is controlled by the following formula: Where: e humidity (t)=H target -H(t) is the humidity error; K p ′、K i ′、and K d ′ represents the PID parameters of the humidity controller; P humidity (t) is the output power of the humidifier or dehumidifier.

3. The method for cultivating ghost moth larvae according to claim 1, characterized in that: In the food supply control algorithm, the amount of food consumed by the larvae is related to their growth rate G(t), and the amount of food supplied F(t) is affected by the amount of food remaining in the environment S(t). To ensure that each larva receives enough food, the following formula is used: F(t) = α·S(t)·G(t) Where: F(t) is the amount of food ingested by each larva; α is a constant representing the ratio between food ingestion and larval growth; S(t) is the amount of food remaining in the current environment; and G(t) is the larval growth rate.

4. The method for cultivating ghost moth larvae according to claim 1, characterized in that: In the growth rate model, the larval body weight W(t) changes with time, and the growth rate... Determined by environmental factors; Temperature T(t), humidity H(t), and food intake F(t) have a direct impact on its growth. The growth rate is described by the following formula: Where: W(t) is the larval weight; β is the growth coefficient, reflecting the influence of environmental factors on larval growth; T(t), H(t), and F(t) are temperature, humidity, and food intake, respectively; Based on this growth model, it is possible to determine when different breeding strategies are initiated when the larval weight exceeds a set threshold.

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