Automatic bait casting method and device for aquaculture

Abstract

The invention provides an automatic bait casting method and device for aquaculture, and relates to the technical field of automatic aquaculture, and the method comprises the steps: obtaining the type and number of fish fries in each culture pond in a plurality of culture ponds; based on the fry type, target particle characteristics of the breeding feed are determined, and based on the fry number, the target feeding amount of the breeding feed is determined; according to the target particle characteristics, the pipe diameter size of an accelerator and the blast volume of a vortex fan are controlled, so that the particle characteristics of the breeding feed reach the target particle characteristics; and according to the target feeding amount, the working duration of the unloader, the distributor, the accelerator and the vortex fan is determined, so that the feeding amount of the feeding equipment reaches the target feeding amount. According to the invention, intelligent automatic bait casting can be realized, so that the feeding efficiency is improved.

Description

Technical Field

[0001] The present application relates to the technical field of automatic aquaculture, and particularly relates to an automatic aquaculture feeding method and device. Background Art

[0002] Aquaculture refers to the agricultural activity of cultivating and breeding fish in a controlled environment, aiming to meet the needs of the food, medicine, and ornamental markets. Through technical means such as water quality management, nutrient supply, and disease prevention and control, aquaculture has increased the yield and quality of aquatic products and alleviated the pressure on natural water resources caused by overfishing. Its forms include freshwater aquaculture, marine aquaculture, recirculating aquaculture, and ecological aquaculture, which are widely used in the global aquatic product supply chain and promote the sustainable development of the aquatic food industry.

[0003] Currently, recirculating aquaculture systems are widely used in aquaculture, but there are still limitations in manual feeding. Due to the need for frequent manual operations, manual feeding not only consumes a large amount of manpower and time, but also has problems such as uneven feeding and feed waste, resulting in low breeding efficiency. Traditional feeding methods are difficult to meet the precise nutritional requirements for fish growth, restricting the large-scale and automated development of aquaculture. Therefore, the introduction of an intelligent automatic feeding system, by precisely controlling the feed delivery amount and feeding frequency, will significantly improve breeding efficiency and economic benefits, and promote the aquaculture industry towards high efficiency and sustainable development. Summary of the Invention

[0004] The present application provides an automatic aquaculture feeding method and device, which can achieve intelligent automatic feeding, thereby improving the feeding efficiency.

[0005] In the first aspect of the present application, an automatic aquaculture feeding method is provided. The method is applied to a controller of an automatic feeding device, and the automatic feeding device further includes a storage bin, a discharging device, a spraying head, a distributor, an accelerator, and a vortex blower. Among them, the controller is connected to the discharging device, the distributor, the accelerator, and the vortex blower. The storage bin is used to store aquaculture feed, the discharging device is used to discharge the aquaculture feed in the storage bin to the spraying head, the vortex blower is used to blow air to the accelerator, the accelerator accelerates the airflow in the pipe by changing the pipe diameter, the spraying head mixes the aquaculture feed with the airflow in the pipe to spray the aquaculture feed into powder particles, and conveys the powder particle aquaculture feed to the distributor, and the distributor is used to convey the powder particle aquaculture feed from the feed inlet to the aquaculture pond;

[0006] The method includes:

[0007] Obtain the fry types and fry quantities in each of the multiple aquaculture ponds;

[0008] Based on the fry type, determine the target particle characteristics of the aquaculture feed, and based on the number of fry, determine the target feeding amount of the aquaculture feed;

[0009] According to the target particle characteristics, control the pipe diameter size of the accelerator and the air volume of the vortex blower to make the particle characteristics of the aquaculture feed reach the target particle characteristics;

[0010] According to the target feeding amount, determine the working duration of the discharger, the distributor, the accelerator and the vortex blower so that the feeding amount of the feeding device reaches the target feeding amount.

[0011] On the basis of the above technical solutions, preferably, the determining the target particle characteristics of the aquaculture feed based on the fry type specifically includes:

[0012] Define input parameters based on the fry type, and the input parameters include fish group type, average age of the fish group, and average weight of the fish group;

[0013] Define output parameters based on the target particle characteristics, and the output parameters include target density;

[0014] According to historical aquaculture experience, form an initial reference formula, and the initial reference formula is used to quantify the linear relationship between the input parameters and the output parameters;

[0015] Based on the fry growth cycle in the aquaculture pond, obtain the input values corresponding to the input parameters;

[0016] Substitute the input values into the initial reference formula, calculate the output values corresponding to the output parameters, and obtain the target particle characteristics.

[0017] On the basis of the above technical solutions, preferably, the controlling the pipe diameter size of the accelerator and the air volume of the vortex blower according to the target particle characteristics to make the particle characteristics of the aquaculture feed reach the target particle characteristics specifically includes:

[0018] Set the initial pipe diameter size of the accelerator and the initial air volume of the vortex blower;

[0019] When the vortex blower blows air into the accelerator through the initial air volume and the accelerator accelerates the air flow in the pipe with the initial pipe diameter size, obtain the initial density of the aquaculture feed ejected from the distributor;

[0020] According to the density difference between the initial density and the target density, control the accelerator to reduce the pipe diameter size, and at the same time control the vortex blower to increase the air volume, or control the accelerator to increase the pipe diameter size, and at the same time control the vortex blower to reduce the air volume.

[0021] On the basis of the above technical solution, preferably, determining the target feeding amount of the aquaculture feed based on the number of fry specifically includes:

[0022] Obtaining the number of fry, average body weight, and preset daily feeding rate and feed nutritional coefficient of the fish school in the breeding pond;

[0023] Calculate the daily feeding amount of the feed in the breeding pond by an empirical formula according to the number of fry, the average body weight, the daily feeding rate and the feed nutritional coefficient;

[0024] Quantify the environmental data of the breeding pond and obtain the environmental factor correction parameters;

[0025] The daily feed amount is corrected by the environmental factor correction parameter to obtain the target feed amount.

[0026] On the basis of the above technical solution, preferably, determining the working time of the discharger, the distributor, the accelerator and the vortex fan according to the target feeding amount so that the feeding amount of the feeding device reaches the target feeding amount specifically includes:

[0027] Obtaining the daily feeding frequency for the breeding pond;

[0028] Determining a single feeding amount of the breeding feed according to the target feeding amount and the daily feeding number;

[0029] The working time is calculated according to the single feeding amount and the feeding amount per unit time of the spray head.

[0030] On the basis of the above technical solution, preferably, after determining the target feeding amount of the breeding feed based on the number of fry, the method further comprises:

[0031] Obtaining the amount of feed remaining after the fish in the breeding pond consume the breeding feed by feeding the breeding pond with the target feeding amount for multiple times;

[0032] Determine the actual consumption of the fish in the breeding pond according to the target feeding amount and the remaining feed amount each time;

[0033] Determine the environmental parameters of the breeding pond corresponding to the actual consumption each time;

[0034] Establishing a mapping relationship between each of the actual consumption and the environmental parameters;

[0035] During subsequent feeding, adjust the target feeding amount of the aquaculture pond to the real-time feeding amount, where the real-time feeding amount is the actual consumption obtained according to the mapping relationship from the real-time environmental parameters of the aquaculture pond.

[0036] Based on the above technical solutions, preferably, after determining the working hours of the unloader, the distributor, the accelerator, and the vortex blower according to the target feeding amount so that the feeding amount of the feeding device reaches the target feeding amount, the method further includes:

[0037] Obtain the meteorological data of the aquaculture pond;

[0038] Determine the feeding time period of the aquaculture pond according to the meteorological data;

[0039] Allocate the multiple working hours according to the daily feeding frequency and the feeding time period so that the automatic feeding device works within the feeding time period.

[0040] In a second aspect of the present application, there is provided an automatic aquaculture feeding device, which is a controller of an automatic feeding device. The automatic feeding device further includes a storage bin, an unloader, a spraying head, a distributor, an accelerator, and a vortex blower. Among them, the controller is connected to the unloader, the distributor, the accelerator, and the vortex blower. The storage bin is used to store aquaculture feed. The unloader is used to unload the aquaculture feed in the storage bin to the spraying head. The vortex blower is used to blow air to the accelerator. The accelerator accelerates the air flow in the pipe by changing the pipe diameter. The spraying head mixes the aquaculture feed with the air flow in the pipe to spray the aquaculture feed into powder particles and transports the powder particle aquaculture feed to the distributor. The distributor is used to transport the powder particle aquaculture feed from the feed inlet to the aquaculture pond;

[0041] The device includes an acquisition module, a processing module, and a control module, where:

[0042] The acquisition module is used to acquire the fry types and the number of fry in each of the multiple aquaculture ponds;

[0043] The processing module is used to determine the target particle characteristics of the aquaculture feed based on the fry types and determine the target feeding amount of the aquaculture feed based on the number of fry;

[0044] The control module is used to control the pipe diameter size of the accelerator and the air blowing volume of the vortex blower according to the target particle characteristics so that the particle characteristics of the aquaculture feed reach the target particle characteristics;

[0045] The control module is used to determine the working duration of the discharger, the distributor, the accelerator and the vortex blower according to the target feeding amount, so that the feeding amount of the feeding device reaches the target feeding amount.

[0046] Based on the above technical solutions, preferably, the processing module is used to define input parameters based on the fry type, and the input parameters include fish group type, average age of the fish group, and average weight of the fish group;

[0047] The processing module is used to define output parameters based on the target particle characteristics, and the output parameters include target density;

[0048] The processing module is used to form an initial reference formula according to historical breeding experience, and the initial reference formula is used to quantify the linear relationship between the input parameters and the output parameters;

[0049] The processing module is used to obtain the input values corresponding to the input parameters based on the fry growth cycle of the breeding pond;

[0050] The processing module is used to substitute the input values into the initial reference formula, calculate the output values corresponding to the output parameters, and obtain the target particle characteristics.

[0051] Based on the above technical solutions, preferably, the control module is used to set the initial pipe diameter size of the accelerator and the initial air volume of the vortex blower;

[0052] The control module is used to obtain the initial density of the aquaculture feed sprayed by the distributor when the vortex blower blows air into the accelerator through the initial air volume and the accelerator accelerates the air flow in the pipe with the initial pipe diameter size;

[0053] The control module is used to control the accelerator to reduce the pipe diameter size according to the density difference between the initial density and the target density, and at the same time control the vortex blower to increase the air volume, or control the accelerator to increase the pipe diameter size and at the same time control the vortex blower to reduce the air volume.

[0054] Based on the above technical solutions, preferably, the acquisition module is used to acquire the number of fry, the average weight of the fish group in the breeding pond, and the preset daily feeding rate and feed nutrition coefficient;

[0055] The processing module is used to calculate the daily feed feeding amount of the breeding pond through an empirical formula according to the number of fry, the average weight, the daily feeding rate and the feed nutrition coefficient;

[0056] The processing module is used to quantify the environmental data of the breeding pond to obtain an environmental factor correction parameter;

[0057] The processing module is configured to correct the daily feed intake by using the environmental factor correction parameter to obtain the target feed intake.

[0058] Based on the above technical solution, preferably, the acquisition module is configured to acquire the daily feeding times for the aquaculture pond;

[0059] The processing module is configured to determine the single - feeding amount of the aquaculture feed according to the target feed intake and the daily feeding times;

[0060] The processing module is configured to calculate the working duration according to the single - feeding amount and the unit - time feeding amount of the spraying head.

[0061] Based on the above technical solution, preferably, the acquisition module is configured to acquire the feed remaining amount after the fish population in the aquaculture pond eats the aquaculture feed when the aquaculture pond is fed multiple times with the target feed intake;

[0062] The processing module is configured to determine the actual consumption amount of the fish population in the aquaculture pond according to the target feed intake and the feed remaining amount each time;

[0063] The processing module is configured to determine the environmental parameters of the aquaculture pond corresponding to each actual consumption amount;

[0064] The processing module is configured to establish a mapping relationship between each actual consumption amount and the environmental parameters;

[0065] The control module is configured to, during subsequent feeding processes, adjust the target feed intake of the aquaculture pond to the real - time feed intake, where the real - time feed intake is the actual consumption amount obtained according to the mapping relationship by the real - time environmental parameters of the aquaculture pond.

[0066] Based on the above technical solution, preferably, the acquisition module is configured to acquire the meteorological data of the aquaculture pond;

[0067] The processing module is configured to determine the feeding time period of the aquaculture pond according to the meteorological data;

[0068] The control module is configured to allocate multiple working durations according to the daily feeding times and the feeding time period, so that the automatic feeding device works within the feeding time period.

[0069] In a third aspect of the present application, an electronic device is provided, including a processor, a memory, a user interface, and a network interface. The memory is used to store instructions. Both the user interface and the network interface are used to communicate with other devices. The processor is used to execute the instructions stored in the memory, so that the electronic device executes the method described in any one of the above.

[0070] In a fourth aspect of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores instructions, and when the instructions are executed, the method described in any one of the above is executed.

[0071] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0072] 1. The present application introduces an intelligent control system, comprehensively utilizes data such as fry type, fry quantity, and environmental parameters to achieve precise feeding. The controller determines the target particle characteristics of the feed according to the fry type, and generates the required pellet feed by adjusting the diameter of the accelerator pipe and the air volume of the vortex blower; calculates the target feeding amount according to the fry quantity, and further controls the working duration of the discharger, distributor, accelerator, and vortex blower to ensure that the feeding amount precisely matches the needs of the fish school. At the same time, combined with sensors to monitor environmental data and the feeding behavior of the fish school, dynamically optimize the feeding strategy, reduce feed waste, and improve the feeding efficiency, thereby realizing automated and intelligent efficient aquaculture management.

[0073] 2. Analyze input parameters such as fish school type, average age, and weight, and combine historical aquaculture experience and initial reference formulas to accurately determine the target particle characteristics (such as density) of the feed, ensuring that the feed pellets are adapted to the feeding ability and nutritional needs of the fry. By dynamically adjusting the particle characteristics of the feed, the feeding efficiency and growth effect of the fish school are optimized, while reducing feed waste and improving aquaculture benefits.

[0074] 3. By dynamically adjusting the pipe diameter size of the accelerator and the air volume of the vortex blower, the density of the feed pellets is precisely matched to the target requirements. Through real-time measurement and adjustment, ensure that the feed particle characteristics meet the feeding needs of the fish school, improve the feed conveying efficiency and the consistency of particle quality, and at the same time reduce feed waste caused by mismatched particle characteristics during the feeding process.

[0075] 4. Combine the fry quantity, average weight, daily feeding rate, feed nutrition coefficient, and environmental factor correction, and use the empirical formula to accurately calculate the daily feeding amount of the aquaculture pond. Through environmental factor correction, dynamically adjust the feeding amount to make the feed feeding amount more in line with the actual aquaculture environment and the needs of the fish school, effectively reducing feed waste and improving aquaculture benefits.

[0076] 5. By monitoring the actual consumption of fish schools in real time and combining with environmental parameters, the feeding amount is dynamically adjusted to make the feeding strategy more accurate. By establishing the mapping relationship between the actual consumption and environmental parameters, the feeding amount is adjusted in real time to adapt to environmental changes, thereby reducing feed waste and improving the breeding efficiency and the health status of fish schools. Brief Description of the Drawings

[0077] Figure 1 is a schematic flowchart of an automatic feeding method for aquaculture disclosed in an embodiment of the present application;

[0078] Figure 2 is a schematic diagram of an automatic feeding device disclosed in an embodiment of the present application;

[0079] Figure 3 is a schematic diagram of a control panel disclosed in an embodiment of the present application;

[0080] Figure 4 is a schematic block diagram of an automatic feeding device for aquaculture disclosed in an embodiment of the present application;

[0081] Figure 5 is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application.

[0082] Description of the reference numerals: 201, controller; 202, storage bin; 203, discharger; 204, spraying head; 205, distributor; 206, accelerator; 207, vortex blower; 401, acquisition module; 402, processing module; 403, control module; 501, processor; 502, communication bus; 503, user interface; 504, network interface; 505, memory. Detailed Embodiment

[0083] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments.

[0084] In the description of the embodiments of the present application, words such as "for example" or "for instance" are used to represent examples, illustrations or explanations. Any embodiment or design solution described as "for example" or "for instance" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Exactly speaking, the use of words such as "for example" or "for instance" is intended to present relevant concepts in a specific manner.

[0085] In the description of the embodiments of the present application, the term "plurality" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. The terms "comprise", "include", "have" and their variants all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0086] Aquaculture is an agricultural activity that cultivates fish in a controlled environment to meet market demand. It is widely applied in the global aquatic product supply chain and promotes the sustainable development of the industry. However, traditional manual feeding methods have problems such as low efficiency, feed waste, and uneven feeding, which restrict the development of large-scale and automation. By introducing an intelligent automatic feeding system and precisely controlling the feed delivery amount and frequency, the breeding efficiency and economic benefits can be significantly improved, helping the aquaculture industry achieve high efficiency and sustainable development.

[0087] This embodiment discloses an automatic feeding method for aquaculture, referring to Figure 1 , including the following steps S110 - S140:

[0088] An automatic feeding method for aquaculture disclosed in the embodiments of the present application is applied to the controller 201 of the automatic feeding device. Referring to Figure 2 , the automatic feeding device further includes a storage bin 202, a discharging device 203, a spraying head 204, a distributor 205, an accelerator 206, and a vortex blower 207. The controller 201 is arranged inside the control cabinet and can automatically / manually control the operation of each electrical component of the automatic feeding machine. Among them, the controller 201 is connected to the discharging device 203, the distributor 205, the accelerator 206, and the vortex blower 207. The storage bin 202 is used to store aquaculture feed, the discharging device 203 is used to unload the aquaculture feed in the storage bin 202 to the spraying head 204, the vortex blower 207 is used to blow air into the accelerator 206, the accelerator 206 accelerates the air flow in the pipe by changing the pipe diameter, the spraying head 204 mixes the aquaculture feed with the air flow in the pipe to spray the aquaculture feed into powder and granular form, and transports the powder and granular aquaculture feed to the distributor 205. The distributor 205 is used to transport the powder and granular aquaculture feed from the feed inlet to the aquaculture pond.

[0089] Referring to Figure 3, turn the mode control switch to the quantitative feeding mode. Enter parameters such as the timing time of the corresponding holes in each aquaculture pond, the environmental parameters of the aquaculture pond, and the fry-related parameters on the parameter setting page. After confirming that the parameters are correct, return to the main page and click "Automatic Feeding". The vortex blower 207 starts. After reaching the preset blower advance time, the unloader 203 starts to work. The distributor 205 sends the feed into the corresponding aquaculture pond feed pipe interface according to the preset positioning time. After a single feeding is completed, the unloader 203 stops working. After reaching the preset blower delay time, the vortex blower 207 stops working, and a single feeding is completed. Turn the control switch to the automatic mode, and the automatic feeder will sequentially complete the feeding work of multiple aquaculture ponds according to the preset feeding amount parameters of the aquaculture ponds.

[0090] S110, obtain the fry type and the number of fry in each of multiple aquaculture ponds.

[0091] In the automatic feeding system for aquaculture, accurately obtaining the fry type and the number of fry in each aquaculture pond is the basis for realizing precise feed feeding. The fry type includes fish groups, average age of the fish group, average weight of the fish group, etc. On the parameter setting page of the automatic feeding device, the administrator inputs the corresponding parameters into the controller 201, so that the controller 201 obtains the fry type and the number of fry in each aquaculture pond.

[0092] S120, based on the fry type, determine the target particle characteristics of the aquaculture feed, and based on the number of fry, determine the target feeding amount of the aquaculture feed.

[0093] In a possible implementation manner, determining the target particle characteristics of the aquaculture feed based on the fry type specifically includes: defining input parameters based on the fry type, where the input parameters include fish groups, average age of the fish group, average weight of the fish group; defining output parameters based on the target particle characteristics, where the output parameters include target density; forming an initial reference formula according to historical aquaculture experience, and the initial reference formula is used to quantify the linear relationship between the input parameters and the output parameters; based on the fry growth cycle of the aquaculture pond, obtain the input values corresponding to the input parameters; substitute the input values into the initial reference formula, calculate the output values corresponding to the output parameters, and obtain the target particle characteristics.

[0094] Specifically, according to the fish groups manually input such as grass carp, perch, tilapia, etc., the average daily age of the fish group in the fry release record or the management system database of the aquaculture pond, and the average individual weight of the fish group obtained from the weighing record, the definition of the input parameters and the data sources are obtained.

[0095] After starting the vortex blower 207, the vortex blower 207 can form a high-speed and low-pressure air flow in the pipeline. The unloader 203 and the accelerator 206 add feed to the pipeline of the spray head 204. The feed particles are driven by the high-speed air flow and are transported along the designated pipeline to different target aquaculture waters through the distributor 205. At the end of the pipeline, the spreader evenly sprinkles the feed on the aquaculture water surface. The distributor 205 can switch the transport path of the feed between the pipelines leading to different aquaculture ponds, realizing the feeding of multiple aquaculture ponds by one feeding system.

[0096] The controller 201 sprays the mixed aquaculture feed into powder particles of different densities by controlling the pipe diameter size of the accelerator 206 and the air volume of the vortex blower 207, meeting the requirements of sinking, suspension or floating, and ensuring the feeding effect of fish in different aquaculture ponds. Therefore, it is necessary for the user to pre-define the output parameter, that is, the target density.

[0097] The controller 201 considers the influence of fish species, age and weight on the particle diameter and density. Based on historical aquaculture experience, it designs a linear regression model, establishes a formula relationship between the input parameter and the output parameter, and obtains an initial reference formula. The initial reference formula is expressed as follows:

[0098] ρ = k × S a × W b × A c + C

[0099] Where ρ is the particle density, k is the empirical coefficient of the density model, S is the fish population coefficient, which is set according to the fish type, a is the empirical coefficient corresponding to the fish population, W is the average weight of the fish group, b is the empirical coefficient corresponding to the average weight of the fish group, A is the average age of the fish group, c is the empirical coefficient corresponding to the average age of the fish group, and C is the correction parameter.

[0100] In a possible implementation manner, based on the number of fry, the target feeding amount of the aquaculture feed is determined, specifically including: obtaining the number of fry, the average weight of the fish group in the aquaculture pond, the preset daily feeding rate and the feed nutrition coefficient; calculating the daily feed feeding amount of the aquaculture pond through an empirical formula according to the number of fry, the average weight, the daily feeding rate and the feed nutrition coefficient; quantifying the environmental data of the aquaculture pond to obtain an environmental factor correction parameter; and correcting the daily feed feeding amount through the environmental factor correction parameter to obtain the target feeding amount.

[0101] Specifically, the number of fry in the aquaculture pond is determined by counting or estimation techniques, and the weight data of some fry is sampled to calculate the average weight of the fish group. It is preset according to the fish species and growth stage, for example, 1% - 3%, which refers to the percentage of the daily feeding amount in the total weight of the fish body. The feed nutrition coefficient refers to the proportion of the nutritional components of the feed, such as protein content, energy density, etc., to ensure meeting the growth requirements of the fry.

[0102] Calculate the daily feed intake using a formula established based on industry standards or historical aquaculture data. The empirical formula is as follows:

[0103]

[0104] Among them, D is the daily feed intake, N is the number of fry (tails), W is the average weight of fry (grams), R is the daily feeding rate (%), which is dynamically adjusted according to the fish species and the growth stage of the fry, P f is the target protein content of the feed (%), P d is the protein content required by the fish group (%), which is determined by the growth requirements of the fry, C e is the environmental correction factor, which is used to correct the feeding changes caused by environmental conditions.

[0105] The daily feeding rate is based on the preset feed demand ratio according to the fish species, age, weight and growth stage. Young fry have strong metabolism and a higher daily feeding rate, while adult fish have a lower daily feeding rate. The growth of fish has a clear demand for protein. If the protein content of the feed is lower than the demand of the fish group, the feeding amount needs to be increased to meet the demand; otherwise, the feeding amount is reduced.

[0106] Then, apply the correction parameters to the calculation of the daily feed intake to obtain the target feeding amount. Specifically, first obtain the real-time environmental data of the aquaculture pond through sensors or monitoring devices, including the water temperature that affects the metabolic rate of the fish group. A low dissolved oxygen environment may reduce the feeding amount of the fish group. A high ammonia nitrogen concentration will inhibit growth and reduce the feeding demand. Light and water flow affect the activity and feeding behavior of the fish group. Establish a correction model based on environmental data, which is specifically expressed as follows:

[0107] C e = T f ·O f ·N f ·L f

[0108] Among them, T f is the water temperature correction factor, which is determined based on the deviation between the water temperature and the suitable temperature range of the fish species, O f is the dissolved oxygen correction factor, which decreases when the dissolved oxygen is insufficient, N f is the ammonia nitrogen correction factor, which decreases when the ammonia nitrogen concentration is too high, L f is the light and water flow correction factor, which reflects the activity of the fish group.

[0109] S130. According to the target particle characteristics, control the pipe diameter size of the accelerator 206 and the air volume of the vortex blower 207 to make the particle characteristics of the aquaculture feed reach the target particle characteristics.

[0110] In a possible implementation manner, according to the target particle characteristics, the pipe diameter size of the accelerator 206 and the air volume of the vortex blower 207 are controlled to make the particle characteristics of the aquaculture feed reach the target particle characteristics, which specifically includes: setting the initial pipe diameter size of the accelerator 206 and the initial air volume of the vortex blower 207; when the vortex blower 207 blows air into the accelerator 206 with the initial air volume and the accelerator 206 accelerates the airflow in the pipe with the initial pipe diameter size, obtaining the initial density of the aquaculture feed ejected by the dispenser 205; according to the density difference between the initial density and the target density, controlling the accelerator 206 to reduce the pipe diameter size, and at the same time controlling the vortex blower 207 to increase the air volume, or controlling the accelerator 206 to increase the pipe diameter size, and at the same time controlling the vortex blower 207 to reduce the air volume.

[0111] Specifically, set the pipe diameter of the accelerator 206, and the initial value can be set based on experience or default, for example, to adapt to medium density requirements. And set the air volume of the vortex blower 207, and the initial value can be set to the middle power section of the blower to balance the air flow speed and flow rate.

[0112] The vortex blower 207 blows air into the accelerator 206 with the initial air volume, the accelerator 206 accelerates the airflow through the initial pipe diameter, and pushes the feed particles through the pipe. The spraying head 204 mixes the feed particles with the airflow and sprays them out, and transports them to the aquaculture pond through the dispenser 205. At the outlet of the dispenser 205, an ejection sample of the feed is collected, and its particle density is measured by the volume method or the weight method.

[0113] According to the magnitude relationship between the initial density and the target density, if the current particle density is low, the particle density needs to be increased, and vice versa. Then, dynamically adjust the pipe diameter of the accelerator 206 and the air volume of the vortex blower 207 according to the density difference between the initial density and the target density. For the particle density that is too low, control the pipe diameter to become smaller, the air flow channel becomes narrower, the air flow speed increases, the air flow kinetic energy increases, the feed particles are more strongly stressed, and the ejected particles are denser. At the same time, increase the air volume of the vortex blower 207 to increase the air flow pressure and speed, and enhance the mixing and acceleration effect of the particles. For the particle density that is too high, control the pipe diameter to become larger, the air flow channel becomes wider, the air flow speed decreases, the feed particles are less stressed, and the ejected particles become loose. At the same time, reduce the air volume of the vortex blower 207 to reduce the air flow pressure and speed. After each adjustment, re-measure the particle density of the feed at the outlet of the dispenser 205, and continue to adjust the pipe diameter of the accelerator 206 and the air volume of the vortex blower 207 according to the new density difference until the density error meets the preset tolerance range.

[0114] S140. According to the target feeding amount, determine the working duration of the discharger 203, the dispenser 205, the accelerator 206, and the vortex blower 207, so that the feeding amount of the feeding device reaches the target feeding amount.

[0115] In a possible implementation, according to the target feeding amount, determine the working duration of the discharger 203, the distributor 205, the accelerator 206, and the vortex blower 207, so that the feeding amount of the feeding device reaches the target feeding amount. Specifically, it includes: obtaining the daily feeding frequency for the aquaculture pond; determining the single-time feeding amount of the aquaculture feed according to the target feeding amount and the daily feeding frequency; and calculating the working duration according to the single-time feeding amount and the feeding amount per unit time of the spraying head 204.

[0116] Specifically, to obtain the daily feeding frequency, determine the daily feeding frequency according to the growth stage and biological characteristics of the fish group. For example, in the juvenile fish stage, the metabolism is vigorous and the daily feeding frequency is relatively high, usually 6 - 8 times. In the adult fish stage, the metabolism is slower and the daily feeding frequency decreases, usually 2 - 4 times. In short, the feeding frequency can be set based on experience or adjusted dynamically, such as being affected by factors such as water temperature and feeding status.

[0117] Evenly distribute the daily target feeding amount according to the daily feeding frequency to determine the feed amount for each feeding. If the target feeding amount is large, a non-uniform distribution strategy can be considered. For example, feed more in the morning and evening and less at noon to conform to the feeding pattern of the fish group. If the fish group has a stronger feeding ability during a specific period (such as early morning or evening), the feeding amount during this period can be appropriately increased. Consideration factors include the activity level of the fish group, weather conditions, and whether there is remaining feed in the aquaculture pond.

[0118] The spraying head 204 of the feeding device usually has a fixed feeding ability per unit time. For example, it can spray a certain weight of feed per minute. Obtain the feeding efficiency value of the spraying head 204 through equipment debugging or the equipment parameter table. Combine the actual operating conditions of the equipment (such as feed particle density, air flow speed, etc.) to test whether the feeding amount of the spraying head 204 conforms to the theoretical value. If there is a deviation in the actual spraying efficiency, it can be corrected by adjusting equipment parameters (such as air volume, pipe diameter).

[0119] Finally, according to the feeding amount per time and the feeding amount per unit time of the spraying head 204, calculate the running time required for the spraying head 204. For example, if the single-time feeding amount is large, the equipment needs to run for a longer time; conversely, the running time is shorter.

[0120] In a possible implementation, after determining the target feeding amount of the aquaculture feed based on the number of fry, the method further includes: obtaining the remaining feed amounts after the fish populations in the aquaculture ponds consume the aquaculture feed when the aquaculture ponds are fed multiple times with the target feeding amount; determining the actual consumption amounts of the fish populations in the aquaculture ponds according to the target feeding amount and the remaining feed amounts each time; determining the environmental parameters of the aquaculture ponds corresponding to each actual consumption amount; establishing a mapping relationship between each actual consumption amount and the environmental parameters; during subsequent feeding processes, adjusting the target feeding amount of the aquaculture pond to a real-time feeding amount, where the real-time feeding amount is the actual consumption amount obtained according to the mapping relationship from the real-time environmental parameters of the aquaculture pond.

[0121] Specifically, the aquaculture ponds are fed multiple times according to the preset target feeding amount, and the feeding time, feeding amount, and related operation parameters are recorded each time. After feeding, the remaining feed amounts in the aquaculture ponds are detected through automated devices such as underwater cameras, feed sensors, or manually. The remaining amounts can be estimated by the weight or number of the sedimented feed, or the feeding process of the fish populations can be analyzed using cameras to evaluate whether the feeding is sufficient.

[0122] According to the target feeding amount and the remaining feed amount each time, determine the actual feed amount consumed by the fish population. If there are abnormalities in the remaining amount measurement data (such as measurement deviations caused by equipment failures or external interferences), the abnormal data needs to be excluded to ensure that the actual consumption amount data truly reflects the feeding behavior of the fish population.

[0123] Select environmental parameters that are closely related to the feeding behavior of the fish population and are convenient to measure, such as: water temperature, dissolved oxygen content, pH value, water flow velocity, light intensity, and air pressure changes. Use environmental monitoring equipment to continuously record the environmental parameters of the aquaculture pond. After each feeding, correspond the actual consumption amount with the environmental parameters at that time.

[0124] Organize the actual consumption amounts and the corresponding environmental parameter data of multiple feedings into a sample set, and analyze the relationship between the actual consumption amount of the fish population and each environmental parameter. Establish a mapping model between the actual consumption amount and the environmental parameters through data analysis methods (such as regression analysis, curve fitting, or machine learning). Different parameters may have different influence weights. For example: water temperature is usually the most significant influencing factor, and dissolved oxygen content also plays an important role in the activity and feeding amount of the fish population. Continuously monitor more feeding data in the long term and continuously optimize the mapping model to ensure its accuracy and adaptability.

[0125] Before each feeding, collect the current real-time environmental parameters of the aquaculture pond to ensure that the parameter data reflects the actual situation at present. According to the real-time environmental parameters, use the previously established mapping model to predict the actual food intake of the fish population, that is, the real-time feeding amount. Use the predicted real-time feeding amount as the target feeding amount for the new round of feeding to reduce feed waste and environmental pollution. If the real-time environmental parameters indicate that the feeding ability of the fish population may be low (such as low water temperature and insufficient dissolved oxygen), then reduce the feeding amount accordingly; otherwise, appropriately increase the feeding amount to meet the needs of the fish population.

[0126] In a possible implementation manner, after determining the working durations of the discharger 203, the distributor 205, the accelerator 206, and the vortex blower 207 according to the target feeding amount so that the feeding amount of the feeding device reaches the target feeding amount, the method further includes: obtaining the meteorological data of the aquaculture pond; determining the feeding time period of the aquaculture pond according to the meteorological data; and allocating the multiple working durations according to the daily feeding times and the feeding time period so that the automatic feeding device works within the feeding time period.

[0127] Specifically, first, determine the types of key meteorological data. The meteorological data related to the feeding behavior of the fish population includes: temperature, especially water temperature, light intensity, wind speed and direction, air pressure, weather conditions, such as sunny, cloudy, rainy, etc. Use meteorological sensors or obtain real-time meteorological data from the meteorological stations around the farm. If conditions permit, combine historical data and prediction models to obtain the meteorological data for a period of time in the future.

[0128] Analyze the influence of meteorology on the feeding of the fish population. When the water temperature is within the appropriate range, usually 20 - 30 °C, specifically depending on the fish species, the feeding ability of the fish population is the strongest. If the water temperature is too low or too high, avoid feeding during this time period. The feeding activity of the fish population has a strong correlation with light. Usually, the fish population feeds most actively when the light is moderate in the early morning or evening. Strong winds, heavy rains, or drastic weather changes may cause water body disturbance and reduce the feeding activity of the fish population. Avoid feeding under these conditions. Large changes in air pressure will affect the floating and sinking habits of the fish population. The fish population may reduce feeding under low air pressure.

[0129] According to the real-time values and change trends of the above meteorological factors, divide a day into multiple time periods and mark the feeding suitability of each time period. For example: It is suitable to feed from 7:00 to 9:00 in the morning, and it is not suitable to feed from 12:00 to 14:00 at noon.

[0130] During the suitable feeding period, a feeding window is delimited. For example, if the target number of daily feedings is 3 times, then 3 suitable time windows are selected according to the meteorological data. According to the target number of daily feedings and the feeding time windows, the amount of each feeding is allocated to the corresponding time period. If the number of daily feedings is 3 times and the total target feeding amount is 3000 grams, then the amount of each feeding is 1000 grams. According to the feeding amount per unit time of the feeding nozzle 204 (such as 500 grams / minute), the working duration of the single feeding device is calculated to be 2 minutes.

[0131] Allocate the single feeding duration according to meteorological suitability. In the morning time period, allocate more feeding amount and device working duration. In the noon time period, reduce the feeding amount or completely avoid feeding. In the afternoon time period, increase the feeding amount again. Ensure that the device completes all feeding tasks within the suitable time period.

[0132] This embodiment also discloses an automatic fish feeding device for aquaculture. The device is the controller 201 of the automatic feeding device. Refer to Figure 2 , the automatic feeding device further includes a storage bin 202, a discharging device 203, a feeding nozzle 204, a distributor 205, an accelerator 206 and a vortex blower 207. Among them, the controller 201 is connected to the discharging device 203, the distributor 205, the accelerator 206 and the vortex blower 207. The storage bin 202 is used to store aquaculture feed. The discharging device 203 is used to discharge the aquaculture feed in the storage bin 202 to the feeding nozzle 204. The vortex blower 207 is used to blow air into the accelerator 206. The accelerator 206 accelerates the air flow in the pipe by changing the pipe diameter. The feeding nozzle 204 mixes the aquaculture feed with the air flow in the pipe to spray the aquaculture feed into powder particles, and conveys the powder-like aquaculture feed to the distributor 205. The distributor 205 is used to convey the powder-like aquaculture feed from the feed inlet to the aquaculture pond.

[0133] Refer to Figure 4 , the device includes an acquisition module 401, a processing module 402 and a control module 403, where:

[0134] The acquisition module 401 is used to acquire the fry type and the number of fry in each aquaculture pond among multiple aquaculture ponds.

[0135] The processing module 402 is used to determine the target particle characteristics of the aquaculture feed based on the fry type, and determine the target feeding amount of the aquaculture feed based on the number of fry.

[0136] The control module 403 is used to control the pipe diameter size of the accelerator 206 and the air blowing volume of the vortex blower 207 according to the target particle characteristics, so as to make the particle characteristics of the aquaculture feed reach the target particle characteristics.

[0137] The control module 403 is configured to determine the working durations of the discharger 203, the distributor 205, the accelerator 206, and the vortex blower 207 according to the target feeding amount, so that the feeding amount of the feeding device reaches the target feeding amount.

[0138] In a possible implementation manner, the processing module 402 is configured to define input parameters based on the fry type, and the input parameters include fish group type, average age of the fish group, and average weight of the fish group.

[0139] The processing module 402 is configured to define output parameters based on the target particle characteristics, and the output parameters include the target density.

[0140] The processing module 402 is configured to form an initial reference formula according to historical breeding experience, and the initial reference formula is used to quantify the linear relationship between the input parameters and the output parameters.

[0141] The processing module 402 is configured to obtain the input values corresponding to the input parameters based on the fry growth cycle of the breeding pond.

[0142] The processing module 402 is configured to substitute the input values into the initial reference formula, calculate the output values corresponding to the output parameters, and obtain the target particle characteristics.

[0143] In a possible implementation manner, the control module 403 is configured to set the initial pipe diameter size of the accelerator 206 and the initial air blowing volume of the vortex blower 207.

[0144] The control module 403 is configured to obtain the initial density of the aquaculture feed ejected by the distributor 205 when the vortex blower 207 blows air into the accelerator 206 through the initial air blowing volume and the accelerator 206 accelerates the air flow in the pipe with the initial pipe diameter size.

[0145] The control module 403 is configured to control the accelerator 206 to reduce the pipe diameter size and at the same time control the vortex blower 207 to increase the air blowing volume, or control the accelerator 206 to increase the pipe diameter size and at the same time control the vortex blower 207 to reduce the air blowing volume according to the density difference between the initial density and the target density.

[0146] In a possible implementation manner, the acquisition module 401 is configured to acquire the number of fry, the average weight in the fish group in the breeding pond, and the preset daily feeding rate and feed nutrition coefficient.

[0147] The processing module 402 is configured to calculate the daily feed feeding amount of the breeding pond through an empirical formula according to the number of fry, the average weight, the daily feeding rate, and the feed nutrition coefficient.

[0148] The processing module 402 is configured to quantify the environmental data of the breeding pond to obtain an environmental factor correction parameter.

[0149] The processing module 402 is configured to correct the daily feed delivery amount by using the environmental factor correction parameter to obtain the target delivery amount.

[0150] In a possible implementation manner, the obtaining module 401 is configured to obtain the daily feeding times for the aquaculture pond.

[0151] The processing module 402 is configured to determine the single - time feeding amount of the aquaculture feed according to the target feeding amount and the daily feeding times.

[0152] The processing module 402 is configured to calculate the working duration according to the single - time feeding amount and the feeding amount per unit time of the spraying nozzle 204.

[0153] In a possible implementation manner, the obtaining module 401 is configured to obtain the remaining feed amount after the fish population in the aquaculture pond eats the aquaculture feed when the aquaculture pond is fed multiple times with the target feeding amount.

[0154] The processing module 402 is configured to determine the actual consumption amount of the fish population in the aquaculture pond according to the target feeding amount and the remaining feed amount each time.

[0155] The processing module 402 is configured to determine the environmental parameters of the aquaculture pond corresponding to each actual consumption amount.

[0156] The processing module 402 is configured to establish a mapping relationship between each actual consumption amount and the environmental parameters.

[0157] The control module 403 is configured to adjust the target feeding amount of the aquaculture pond to the real - time feeding amount during subsequent feeding processes, and the real - time feeding amount is the actual consumption amount obtained according to the mapping relationship based on the real - time environmental parameters of the aquaculture pond.

[0158] In a possible implementation manner, the obtaining module 401 is configured to obtain the meteorological data of the aquaculture pond.

[0159] The processing module 402 is configured to determine the feeding time period of the aquaculture pond according to the meteorological data.

[0160] The control module 403 is configured to allocate multiple working durations according to the daily feeding times and the feeding time period, so that the automatic feeding device works within the feeding time period.

[0161] It should be noted that: when the device provided in the above - mentioned embodiment realizes its functions, only the above - mentioned division of each functional module is used for illustration. In actual application, the above - mentioned functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above - mentioned embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be elaborated here.

[0162] This embodiment also discloses an electronic device. Referring to Figure 5 , the electronic device may include: at least one processor 501, at least one communication bus 502, a user interface 503, a network interface 504, and at least one memory 505.

[0163] Among them, the communication bus 502 is used to implement connection communication between these components.

[0164] Among them, the user interface 503 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 503 may further include a standard wired interface and a wireless interface.

[0165] Among them, the network interface 504 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0166] Among them, the processor 501 may include one or more processing cores. The processor 501 connects various parts within the entire server using various interfaces and lines. By running or executing instructions, programs, code sets, or instruction sets stored in the memory 505, and by calling data stored in the memory 505, it performs various functions of the server and processes data. Optionally, the processor 501 may be implemented in at least one of the following hardware forms: Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 501 may integrate a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), and a modem, etc., in a combination of one or several. Among them, the CPU mainly processes the operating system, user interface, and application programs, etc.; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communication. It can be understood that the above modem may not be integrated into the processor 501 and may be implemented separately by a single chip.

[0167] Among them, the memory 505 may include a Random Access Memory (RAM), or may also include a Read-Only Memory. Optionally, the memory includes a non-transitory computer-readable storage medium. The memory 505 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 505 may include a program storage area and a data storage area. Among them, the program storage area may store instructions for implementing the operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-mentioned method embodiments, etc.; the data storage area may store the data involved in the above-mentioned method embodiments. Optionally, the memory 505 may also be at least one storage device located far from the aforementioned processor 501. The memory 505, as a computer storage medium, may include an operating system, a network communication module, a user interface 503 module, and an application program for an automatic aquaculture feeding method.

[0168] In Figure 5 In the electronic device shown, the user interface 503 is mainly used to provide an input interface for the user to obtain the data input by the user; while the processor 501 can be used to call the application program for an automatic aquaculture feeding method stored in the memory 505. When executed by one or more processors 501, the electronic device is caused to execute the method of one or more of the above embodiments.

[0169] It should be noted that for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that this application is not limited by the described action sequence, because according to this application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0170] In the above embodiments, the descriptions of the respective embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0171] In several embodiments provided in the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some service interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical or other form.

[0172] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0173] In addition, in each embodiment of the present application, each functional unit can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0174] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory 505 and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in each embodiment of the present application. And the aforementioned memory 505 includes: various media such as USB flash drives, mobile hard disks, magnetic disks, or optical discs that can store program codes.

[0175] The present application also discloses a computer-readable storage medium that stores instructions. When executed by one or more processors 501, it causes the electronic device to execute one or more of the methods as described in the above embodiments.

[0176] The above are only exemplary embodiments of the present disclosure and should not be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure still fall within the scope covered by the present disclosure. Those skilled in the art will readily think of other embodiments of the present disclosure after considering the specification and the practice of the present disclosure. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include the common general knowledge or conventional technical means in the technical field not recorded in the present disclosure. The specification and the embodiments are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. An automatic feeding method for aquaculture, characterized in that: The method is applied to a controller (201) of an automatic feeding device, wherein the automatic feeding device further comprises a storage bin (202), a discharger (203), a spray head (204), a distributor (205), an accelerator (206) and a vortex fan (207), wherein the controller (201) is connected to the discharger (203), the distributor (205), the accelerator (206) and the vortex fan (207), the storage bin (202) is used to store aquaculture feed, and the discharger (203) The feed storage bin (202) is used to discharge the aquaculture feed to the spray head (204); the vortex fan (207) is used to blow air to the accelerator (206); the accelerator (206) accelerates the airflow in the tube by changing the tube diameter; the spray head (204) mixes the aquaculture feed with the airflow in the tube to spray the aquaculture feed into powder or granules; and the powder or granules of the aquaculture feed are transported to the distributor (205); the distributor (205) is used to transport the powder or granules of the aquaculture feed from the feed inlet to the aquaculture pond; The method comprises: Obtaining the type and quantity of fry in each of the plurality of breeding ponds; Determining target particle characteristics of the aquaculture feed based on the type of fry, and determining target feeding amount of the aquaculture feed based on the number of fry; According to the target particle characteristics, controlling the pipe diameter of the accelerator (206) and the air volume of the vortex blower (207) to adjust the particle characteristics of the breeding feed to the target particle characteristics; According to the target feeding amount, the working time of the discharger (203), the distributor (205), the accelerator (206) and the vortex fan (207) is determined so that the feeding amount of the feeding equipment reaches the target feeding amount.

2. The automatic feeding method for aquaculture according to claim 1, characterized in that: Determining the target particle characteristics of the aquaculture feed based on the fry type specifically includes: Defining input parameters based on the fry type, the input parameters including fish class, average age of the fish, and average weight of the fish; defining output parameters based on the target particle characteristics, the output parameters including target density; Based on historical breeding experience, an initial reference formula is formed, wherein the initial reference formula is used to quantify the linear relationship between the input parameter and the output parameter; Based on the fry growth cycle of the breeding pond, obtaining an input value corresponding to the input parameter; Substituting the input value into the initial reference formula, calculating the output value corresponding to the output parameter, and obtaining the target particle characteristic.

3. The automatic feeding method for aquaculture according to claim 2, characterized in that: According to the target particle characteristics, controlling the pipe diameter of the accelerator (206) and the blowing volume of the vortex blower (207) to adjust the particle characteristics of the breeding feed to the target particle characteristics specifically includes: Setting the initial pipe diameter of the accelerator (206) and the initial blast volume of the vortex blower (207); When the vortex blower (207) blows air toward the accelerator (206) with the initial blowing volume and the accelerator (206) accelerates the airflow in the tube with the initial tube diameter size, obtaining the measured initial density of the aquaculture feed sprayed from the distributor (205); According to the density difference between the initial density and the target density, the accelerator (206) is controlled to reduce the tube diameter size, and the vortex fan (207) is controlled to increase the air volume, or the accelerator (206) is controlled to increase the tube diameter size, and the vortex fan (207) is controlled to reduce the air volume.

4. The automatic feeding method for aquaculture according to claim 2, characterized in that: Determining the target feeding amount of the aquaculture feed based on the number of fry specifically includes: Obtaining the number of fry, average body weight, and preset daily feeding rate and feed nutritional coefficient of the fish school in the breeding pond; Calculate the daily feeding amount of the feed in the breeding pond by an empirical formula according to the number of fry, the average body weight, the daily feeding rate and the feed nutritional coefficient; Quantify the environmental data of the breeding pond and obtain the environmental factor correction parameters; The daily feed amount is corrected by the environmental factor correction parameter to obtain the target feed amount.

5. The automatic feeding method for aquaculture according to claim 1, characterized in that: The method of determining the working time of the discharger (203), the distributor (205), the accelerator (206) and the vortex fan (207) according to the target feeding amount so that the feeding amount of the feeding device reaches the target feeding amount specifically includes: Obtaining the daily feeding frequency for the breeding pond; Determining a single feeding amount of the breeding feed according to the target feeding amount and the daily feeding number; The working time is calculated according to the single feeding amount and the feeding amount per unit time of the spray head (204).

6. The automatic feeding method for aquaculture according to claim 1, characterized in that: After determining the target feeding amount of the aquaculture feed based on the number of fry, the method further comprises: Obtaining the amount of feed remaining after the fish in the breeding pond consume the breeding feed by feeding the breeding pond with the target feeding amount for multiple times; Determine the actual consumption of the fish in the breeding pond according to the target feeding amount and the remaining feed amount each time; Determine the environmental parameters of the breeding pond corresponding to the actual consumption each time; Establishing a mapping relationship between each of the actual consumption and the environmental parameters; In the subsequent feeding process, the target feeding amount of the breeding pond is adjusted to the real-time feeding amount, and the real-time feeding amount is the actual consumption obtained by the real-time environmental parameters of the breeding pond according to the mapping relationship.

7. The automatic feeding method for aquaculture according to claim 5, characterized in that: After determining the working time of the discharger (203), the distributor (205), the accelerator (206) and the vortex fan (207) according to the target feeding amount so that the feeding amount of the feeding device reaches the target feeding amount, the method further comprises: Obtaining meteorological data of the breeding pond; Determining a feeding time period of the culture pond according to the meteorological data; According to the daily feeding times and the feeding time period, a plurality of the working hours are allocated so that the automatic feeding device works within the feeding time period.

8. An automatic feeding device for aquaculture, characterized in that: The device is a controller (201) of an automatic feeding device, and the automatic feeding device also includes a storage bin (202), a discharger (203), a spray head (204), a distributor (205), an accelerator (206) and a vortex fan (207), wherein the controller (201) is connected to the discharger (203), the distributor (205), the accelerator (206) and the vortex fan (207), the storage bin (202) is used to store aquaculture feed, and the discharger (203) is used to The aquaculture feed in the storage bin (202) is unloaded to the spray head (204), the vortex fan (207) is used to blow air to the accelerator (206), the accelerator (206) accelerates the airflow in the tube by changing the tube diameter, the spray head (204) mixes the aquaculture feed with the airflow in the tube to spray the aquaculture feed into powder and granules, and the powder and granules of the aquaculture feed are transported to the distributor (205), and the distributor (205) is used to transport the powder and granules of the aquaculture feed from the feed inlet to the aquaculture pond; The device comprises an acquisition module (401), a processing module (402) and a control module (403), wherein: The acquisition module (401) is used to acquire the type and quantity of fry in each of the plurality of breeding ponds; The processing module (402) is used to determine the target particle characteristics of the aquaculture feed based on the type of fry, and determine the target feeding amount of the aquaculture feed based on the number of fry; The control module (403) is used to control the pipe diameter of the accelerator (206) and the air volume of the vortex blower (207) according to the target particle characteristics, so as to make the particle characteristics of the breeding feed reach the target particle characteristics; The control module (403) is used to determine the working time of the discharger (203), the distributor (205), the accelerator (206) and the vortex fan (207) according to the target feeding amount, so that the feeding amount of the feeding equipment reaches the target feeding amount.

9. An electronic device, characterized in that: The electronic device comprises a processor (501), a communication bus (502), a user interface (503), a network interface (504) and a memory (505), wherein the memory (505) is used to store instructions, the user interface (503) and the network interface (504) are both used to communicate with other devices, the communication bus (502) is used to realize connection and communication between components in the electronic device, and the processor (501) is used to execute the instructions stored in the memory (505) so that the electronic device executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 7 is performed.

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