Ecological breeding system for meat ducks

Abstract

The invention discloses a meat duck ecological breeding system which comprises a duckling stage management area, a young duck stage management area, an adult duck stage management area and a central control unit, environment control modules are arranged in the duckling stage management area, the young duck stage management area and the adult duck stage management area, and the meat duck ecological breeding system further comprises a central control unit. The central control unit is used for constructing an environment optimization model, the environment optimization model is used for calculating the optimal regulation and control condition of each management area according to the real-time state information of each management area and the growth stage of the meat duck, and the central control unit instructs the corresponding environment control module to execute operation so as to control the environment of each management area. According to different growth stages of meat ducks, the management system is divided into a duckling stage management area, a young duck stage management area and an adult duck stage management area, each management area is provided with an independent and accurate environment control module, and centralized regulation and control are carried out by a unified environment control unit, so that the meat ducks in each stage can be ensured to be in the most suitable growth environment.

Description

Technical Field

[0001] This invention relates to the field of meat duck farming systems, and more particularly to an ecological meat duck farming system. Background Technology

[0002] In the current duck farming sector, traditional farming methods have significant shortcomings in environmental control. Ducks at different growth stages have specific and differentiated environmental requirements; however, most existing farming techniques adopt extensive environmental management strategies, failing to fully consider the unique requirements of ducklings, young ducks, and adult ducks, resulting in a low degree of matching between the farming environment and the needs of ducks at each growth stage. This mismatch directly triggers a series of problems. On the one hand, low feed conversion rates mean that ducks cannot fully absorb nutrients from feed in their current environment, resulting in wasted feed resources and increased farming costs. For example, under unsuitable temperature and humidity conditions, the ducks' metabolism is disrupted, and the activity of digestive enzymes decreases, significantly reducing the efficiency of feed digestion and absorption. On the other hand, the disease risk of ducks increases significantly. Harsh farming environments become breeding grounds for bacteria and viruses. The ducks' immunity is weakened in unsuitable environments, making them susceptible to various diseases such as serositis and avian influenza. Once an outbreak occurs, it not only leads to increased mortality rates among ducks but may also affect the overall production efficiency and product quality of the farm. Existing environmental control technologies for poultry farming lack independent environmental control modules tailored to different growth stages. Most farms are equipped with only one general-purpose environmental control system, which cannot accurately provide suitable temperature, humidity, light, and ventilation conditions for ducks at different growth stages. Furthermore, the lack of a unified intelligent control system makes it difficult to centrally monitor and intelligently adjust environmental parameters in various farming areas, and to respond promptly and accurately to real-time growth status and environmental changes in the ducks. Therefore, there is an urgent need for an innovative duck farming system that divides the management areas into duckling, young duck, and adult duck stages, and sets up an independent environmental control module for each management area that can be controlled by a unified unit. This system can construct an environmental optimization model to achieve precise regulation of the environment in each management area, thereby improving the overall efficiency of duck farming. Summary of the Invention

[0003] The purpose of this invention is to address the aforementioned problems by providing an ecological duck farming system. Based on the different growth stages of ducks, the system is divided into management areas for ducklings, young ducks, and adult ducks. Each management area is equipped with an independent and precise environmental control module, while a unified environmental control unit provides centralized regulation to ensure that ducks at each stage are in the most suitable growth environment.

[0004] To achieve the above-mentioned objectives, the technical solution adopted by this invention is as follows: According to one aspect of the present invention, a meat duck ecological farming system is provided, including a duckling stage management area, a young duck stage management area and an adult duck stage management area, wherein each of the duckling stage management area, the young duck stage management area and the adult duck stage management area is provided with an environmental control module, and the environmental control module is used to independently regulate the internal environmental parameters of the corresponding management area; It also includes a central control unit, which is communicatively connected to the environmental control module of each management area; The central control unit is used to construct an environmental optimization model. The environmental optimization model is used to calculate the optimal control conditions for each management area based on the real-time status information and the growth stage of the ducks. The central control unit then instructs the corresponding environmental control module to perform operations to control the environment of each management area.

[0005] Preferably, the environmental control module includes a temperature control unit, a humidity control unit, a ventilation control unit, a light control unit, and a sensor monitoring unit; The temperature control unit is used to control the temperature of the corresponding management area; The humidity control unit is used to control the humidity of the corresponding management area; The ventilation control unit is used to regulate the concentration of harmful gases in the corresponding management area; The illumination control unit is used to control the illumination intensity of the corresponding management area; The sensor monitoring unit is used to collect data on temperature, humidity, harmful gas concentration, and light intensity in the corresponding management area in real time.

[0006] Preferably, the central control unit includes a data processing module, a model library, and an instruction sending module; The data processing module is used to receive and process real-time data collected by the environmental control module; The model library is used to construct environmental optimization models and to output environmental parameter settings using the environmental optimization models; The instruction sending module is used to convert the environmental parameter settings into control instructions and send the control instructions to the environmental control module.

[0007] Preferably, the environment optimization model includes a data acquisition layer, a model training layer, and a dynamic control layer; The data acquisition layer is used to receive real-time environmental data and establish a training set of the data; The model training layer is used to construct an environment-growth coupled model, and to obtain the optimal environment parameters through the environment-growth coupled model. The dynamic control layer is used to update environmental parameters.

[0008] Preferably, the environment-growth coupling model includes an objective function, an environment-growth response function, and constraints.

[0009] Preferably, the objective function includes a survival rate objective function, a population evenness objective function, and a feed conversion ratio objective function; The objective function for survival rate is: in, This is the growth stage; For stage weights; For the first Phase 1 One environment variable; For the first Phase 1 The optimal baseline value for each environmental variable; This represents the number of environmental variables in this phase. The objective function for population evenness is: in, For stage weights; For the first Phase 1 The population mean of each environmental variable; The objective function for feed conversion ratio is: in, For stage weights; The coefficient representing the influence of environmental variables on the feed conversion ratio.

[0010] Preferably, the environment-growth response function includes a duckling stage response function, a young duck stage response function, and an adult duck stage response function; The response function for the duckling stage includes the survival rate response and the feed conversion ratio response. The survival rate response is: The feed conversion ratio response is: in, Temperature in the duck-stage management area; Relative humidity; This refers to the duration of illumination. Ventilation volume; The response function for the duckling stage includes uniformity response and survival rate response; The uniformity response is: The survival rate response is: in, For temperature; Relative humidity; Light intensity; This refers to the concentration of ammonia gas. The response function for the adult duck stage includes feed conversion ratio response and uniformity response; The feed conversion ratio response is: The uniformity response is: in, For temperature; Relative humidity; The light cycle; This refers to the feed energy ratio.

[0011] Preferably, the constraints include constraints for the duckling stage, constraints for the young duckling stage, and constraints for the adult duck stage; The constraints for the duckling stage are as follows: in, The temperature is the temperature of the previous day, constraining the daily temperature fluctuation. ; The constraints for the duckling stage are as follows: in, The previous ammonia concentration is used to constrain single fluctuations in ammonia concentration. ; The constraints for the adult duck stage are as follows: in, This refers to the previous feed energy ratio, and constrains the single adjustment of the feed energy ratio. .

[0012] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: This invention sets up independent environmental control modules for different growth stages of meat ducks. The environmental control modules are used to monitor and regulate the environment of each management area, and an environmental optimization model is set up to dynamically analyze and adjust the environmental parameters of each management area, thereby improving the survival rate and uniformity of meat ducks and effectively ensuring the healthy growth of meat ducks and product quality. Attached Figure Description

[0013] Figure 1 This is a functional structure block diagram of the present invention. Detailed Implementation

[0014] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and preferred embodiments. However, it should be noted that many details listed in the specification are merely to provide the reader with a thorough understanding of one or more aspects of the invention, and these aspects of the invention can be achieved even without these specific details.

[0015] Please see Figure 1 This invention provides an ecological breeding system for meat ducks, the technical solution of which is as follows: An ecological duck farming system includes management areas for ducklings, young ducks, and adult ducks. Each management area is equipped with an environmental control module, which independently regulates the internal environmental parameters of its corresponding area. The environmental control module includes a temperature control unit, a humidity control unit, a ventilation control unit, a lighting control unit, and a sensor monitoring unit. The temperature control unit regulates the temperature of the management area and includes a heater, a wet curtain fan, and ventilation windows. The heater, wet curtain fan, and ventilation windows are existing technologies, and the heater and wet curtain fan are connected to a central control unit. The temperature of the management area can be adjusted using the heater and wet curtain fan. The humidity control unit regulates the humidity of the management area and includes a humidifier and a dehumidifier. The humidifier and dehumidifier are existing technologies and are connected to the central control unit. The humidity of the management area can be adjusted using the humidifier and dehumidifier. The ventilation control unit regulates the concentration of harmful gases in the management area and includes a variable frequency fan, an air inlet, and an exhaust fan. The variable frequency fan, air inlet, and exhaust fan are existing technologies. The variable frequency fan and exhaust fan are connected to the central control unit. The ventilation volume of the managed area can be adjusted using the variable frequency fan and exhaust fan. A lighting control unit is used to regulate light intensity. The lighting control unit includes LED light groups with adjustable light intensity and cycle. The LED light groups are connected to the central control unit. The LED light groups can adjust the light intensity of the managed area. A sensor monitoring unit is used to collect real-time data on temperature, humidity, harmful gas concentration, and light intensity within the area. The sensor monitoring unit includes a temperature sensor, a humidity sensor, a harmful gas concentration sensor, and a light intensity sensor. The temperature sensor, humidity sensor, harmful gas concentration sensor, and light intensity sensor are each connected to the central control unit. Environmental data of the managed area can be collected using the temperature sensor, humidity sensor, harmful gas concentration sensor, and light intensity sensor.

[0016] The central control unit is used to construct an environmental optimization model. This model calculates the optimal control conditions for each management area based on real-time status information and the growth stage of the ducks. The central control unit then instructs the corresponding environmental control modules to execute operations to control the environment of each management area. Specifically, the central control unit includes a data processing module, a model library, and an instruction sending module. The data processing module receives and processes real-time data from the environmental control modules and is connected to temperature sensors, humidity sensors, harmful gas concentration sensors, and light intensity sensors. The instruction sending module converts the environmental parameter setpoints into control instructions and sends them to the environmental control modules. The instruction sending module is connected to heaters, wet curtain fans, humidifiers, dehumidifiers, variable frequency fans, exhaust fans, and LED lights. The model library is used to construct the environmental optimization model and output environmental parameter setpoints using this model. The environmental optimization model includes a data acquisition layer, a model training layer, and a dynamic control layer. The data acquisition layer collects real-time environmental data and establishes a training set. The model training layer constructs an environment-growth coupling model to obtain the optimal environmental parameters.

[0017] The environment-growth coupling model includes an objective function, an environment-growth response function, and constraints. The objective function quantification includes survival rate objective function, population evenness objective function, and feed conversion ratio objective function. The objective function for survival rate is: in, This is the growth stage; For stage weights; For the first Phase 1 One environment variable; For the first Phase 1 The optimal baseline value for each environmental variable; This represents the number of environmental variables in this phase. The objective function for population evenness is: in, For stage weights; For the first Phase 1 The population mean of each environmental variable; The objective function for feed conversion ratio is: in, For stage weights; The coefficient representing the influence of environmental variables on the feed conversion ratio.

[0018] Environment-growth response functions include response functions for ducklings, young ducks, and adult ducks; The response function for ducklings includes the survival rate response and the feed conversion ratio response. The survival rate response is: The feed conversion ratio response is: in, Temperature in the duck-stage management area; Relative humidity; This refers to the duration of illumination. Ventilation volume; The response function for the duckling stage includes the uniformity response and the survival rate response; The uniformity response is: The survival rate response is: in, For temperature; Relative humidity; Light intensity; This refers to the concentration of ammonia gas. The response function for adult ducks includes the feed conversion ratio response and the uniformity response; The feed conversion ratio response is: The uniformity response is: in, For temperature; Relative humidity; The light cycle; This refers to the feed energy ratio.

[0019] The constraints include constraints at the duckling stage, constraints at the young duckling stage, and constraints at the adult duck stage. The constraints during the duckling stage are: in, The temperature is the temperature of the previous day, constraining the daily temperature fluctuation. ; The constraints during the duckling stage are: in, The previous ammonia concentration is used to constrain single fluctuations in ammonia concentration. ; The constraints for the adult duck stage are: in, This refers to the previous feed energy ratio, and constrains the single adjustment of the feed energy ratio. .

[0020] By inputting duck stage, breed parameters, and initial environmental variables, and calculating the response function, and combining constraints to screen compliant individuals, the optimal solution set is obtained through the above formula, outputting the optimal combination of environmental parameters. The environment-growth coupled model constructed using this method can achieve multi-objective synergistic optimization, improving survival rate and reducing feed conversion ratio compared to traditional single-objective control, providing quantitative support for staged precision farming of ducks.

[0021] The dynamic control layer is used to update environmental parameters and outputs the current optimal environmental parameters through the model. Based on the optimal environmental parameters, the dynamic control layer updates the current environmental parameters. Using the updated environmental parameters, the instruction sending module generates control commands and sends them to the corresponding environmental control modules to perform environmental control on the corresponding management area.

[0022] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A meat duck ecological breeding system, characterized in that, The management area includes a duckling stage management area, a young duck stage management area and a mature duck stage management area, and an environment control module is arranged in each of the management areas, and the environment control module is used for independently regulating the internal environment parameters of the corresponding management area. A central control unit is further included, and the central control unit is in communication connection with the environment control modules of the management areas. The central control unit is used for constructing an environment optimization model, the environment optimization model is used for calculating the optimal regulation conditions of each management area according to the real-time state information of each management area and the growth stage of the meat duck, and the central control unit instructs the corresponding environment control module to execute operation to control the environment of each management area.

2. The ecological breeding system for meat ducks according to claim 1, characterized in that: The environment control module includes a temperature regulation unit, a humidity regulation unit, a ventilation regulation unit, a light regulation unit and a sensor monitoring unit. The temperature regulation unit is used for regulating the temperature of the corresponding management area. The humidity regulation unit is used for regulating the humidity of the corresponding management area. The ventilation regulation unit is used for regulating the concentration of harmful gases in the corresponding management area. The light regulation unit is used for regulating the light intensity of the corresponding management area. The sensor monitoring unit is used for collecting the temperature, humidity, harmful gas concentration and light intensity data in the corresponding management area in real time.

3. The ecological breeding system for meat ducks according to claim 1, characterized in that: The central control unit includes a data processing module, a model library and an instruction sending module. The data processing module is used for receiving and processing the real-time data collected by the environment control module. The model library is used for constructing an environment optimization model and outputting environment parameter setting values by using the environment optimization model. The instruction sending module is used for converting the environment parameter setting values into control instructions and sending the control instructions to the environment control module.

4. The ecological breeding system for meat ducks according to claim 1, characterized in that: The environment optimization model includes a data collection layer, a model training layer and a dynamic regulation layer. The data collection layer is used for receiving real-time environment data and establishing a training set of data. The model training layer is used for constructing an environment-growth coupling model to obtain optimal environment parameters through the environment-growth coupling model. The dynamic regulation layer is used for updating environment parameters.

5. The ecological breeding system for meat ducks according to claim 1, characterized in that: The environment-growth coupling model includes an objective function, an environment-growth response function and a constraint condition.

6. The ecological breeding system for meat ducks according to claim 5, characterized in that: The objective function includes a survival rate objective function, a population uniformity objective function and a feed conversion rate objective function. The survival rate objective function is: wherein, is a growth stage; is a stage weight; is a first stage first environmental variable; is a first stage first environmental variable optimal reference value; is a number of environmental variables for the stage; The population uniformity objective function is: wherein, is a phase weight; is a phase weight; is a population mean of the jth environment variable in the ith phase; is a population mean of the jth environment variable in the ith phase; The feed conversion rate objective function is: wherein, is the phase weight; is the environmental variable impact coefficient on the feed-to-meat ratio.

7. The ecological breeding system for meat ducks according to claim 5, characterized in that: The environment-growth response function includes a duckling stage response function, a young duck stage response function and a mature duck stage response function. The duckling stage response function includes a survival rate response and a feed-meat ratio response. The survival rate response is: The feed-meat ratio response is: wherein, is the temperature of the duck phase management zone; is the relative humidity; is the length of light exposure; is the amount of ventilation; The young duck stage response function includes a uniformity response and a survival rate response. The uniformity response is: The survival rate response is: wherein, is the temperature; is the relative humidity; is the light intensity; is the ammonia concentration; The mature duck stage response function includes a feed-meat ratio response and a uniformity response. The feed-meat ratio response is: The uniformity response is: wherein, is temperature; is relative humidity; is photoperiod; is feed energy ratio.

8. The ecological breeding system for meat ducks according to claim 5, characterized in that: The constraint condition includes a duckling stage constraint, a young duck stage constraint and a mature duck stage constraint. The young duck stage constraint is: wherein, Tday-1is the temperature of the previous day, constraining the daily temperature fluctuation ; The young duck stage constraint is: wherein, Previous ammonia concentration, constraint ammonia concentration single fluctuation ; The mature duck stage constraint is: wherein, is the previous feed energy ratio, constraining the single adjustment of the feed energy ratio .

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