An automatic feeding method and device for aquaculture

Abstract

The application provides an automatic bait feeding method and device for aquaculture, and relates to the technical field of automatic aquaculture. The method comprises the following steps: acquiring the type and quantity of fish fry in each of a plurality of culture ponds; determining the target particle characteristics of culture feed based on the type of fish fry, and determining the target feeding amount of culture feed based on the quantity of fish fry; controlling the pipe diameter size of an accelerator and the air volume of a vortex fan according to the target particle characteristics, so that the particle characteristics of culture feed reach the target particle characteristics; and determining the working time length of a discharger, a distributor, the accelerator and the vortex fan according to the target feeding amount, so that the feeding amount of a bait feeding device reaches the target feeding amount. The application can realize intelligent automatic bait feeding, thereby improving the feeding efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of automatic aquaculture, and in particular to an automatic bait feeding method and device for aquaculture. BACKGROUND

[0002] Aquaculture refers to an agricultural activity of cultivating and breeding fish in a controlled environment, aiming to meet the demand of food, medicine and ornamental markets. Through technical means such as water quality management, nutrition supply and disease control, aquaculture improves the yield and quality of aquatic products, and alleviates the pressure on natural water resources caused by overfishing. Its forms include freshwater aquaculture, seawater aquaculture, recirculating aquaculture and ecological aquaculture, and are widely used in global aquatic product supply chains, promoting the sustainable development of aquatic food industry.

[0003] At present, the recirculating aquaculture system is widely used in aquaculture, but there are still limitations of manual feeding. Due to the need for frequent manual operation, manual feeding not only consumes a lot of manpower and time, but also has problems such as uneven feeding and feed waste, resulting in low breeding efficiency. The traditional feeding method is difficult to meet the precise nutritional needs of fish growth, which restricts the large-scale and automated development of aquaculture. Therefore, the introduction of intelligent automatic feeding system will significantly improve the breeding efficiency and economic benefits, and promote the high-efficiency and sustainable development of aquaculture industry. SUMMARY

[0004] The present application provides an automatic bait feeding method and device for aquaculture, which can realize intelligent automatic bait feeding and improve feeding efficiency.

[0005] In a first aspect of the present application, an automatic bait feeding method for aquaculture is provided, which is applied to a controller of an automatic bait feeding device, the automatic bait feeding device further comprising a storage bin, a discharger, a feeding head, a distributor, an accelerator and a vortex fan, wherein the controller is connected to the discharger, the distributor, the accelerator and the vortex fan, the storage bin is used for storing breeding feed, the discharger is used for discharging the breeding feed in the storage bin to the feeding head, the vortex fan is used for blowing air to the accelerator, the accelerator accelerates the airflow in the pipe by changing the pipe diameter, the feeding head mixes the breeding feed with the airflow in the pipe to spray the breeding feed into powder particles, and the distributor is used for conveying the powder particles of the breeding feed from the feeding port to the breeding pool.

[0006] The method comprises:

[0007] acquiring the type and quantity of fish fry in each of the plurality of breeding pools;

[0008] determine a target particle characteristic of the aquaculture feed based on the fry type, and determine a target feeding amount of the aquaculture feed based on the fry quantity;

[0009] control a tube diameter size of the accelerator and a blowing amount of the vortex fan according to the target particle characteristic, so that the particle characteristic of the aquaculture feed reaches the target particle characteristic;

[0010] determine working time lengths of the unloader, 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.

[0011] In the above technical solution, preferably, the determination of the target particle characteristic of the aquaculture feed based on the fry type specifically includes:

[0012] defining input parameters based on the fry type, the input parameters including a fish population type, an average age of the fish population and an average weight of the fish population;

[0013] defining output parameters based on the target particle characteristic, the output parameters including a target density;

[0014] forming an initial reference formula according to historical aquaculture experience, the initial reference formula being used to quantify a linear relationship between the input parameters and the output parameters;

[0015] obtaining input values corresponding to the input parameters based on a growth cycle of the fry in the aquaculture pond;

[0016] substituting the input values into the initial reference formula to calculate output values corresponding to the output parameters, so as to obtain the target particle characteristic.

[0017] In the above technical solution, preferably, the control of the tube diameter size of the accelerator and the blowing amount of the vortex fan according to the target particle characteristic, so that the particle characteristic of the aquaculture feed reaches the target particle characteristic, specifically includes:

[0018] setting an initial tube diameter size of the accelerator and an initial blowing amount of the vortex fan;

[0019] obtaining a measured initial density of the aquaculture feed sprayed by the distributor when the vortex fan blows air to the accelerator through the initial blowing amount and the accelerator accelerates airflow in the tube with the initial tube diameter size;

[0020] controlling the accelerator to reduce the tube diameter size and simultaneously controlling the vortex fan to increase the blowing amount, or controlling the accelerator to increase the tube diameter size and simultaneously controlling the vortex fan to reduce the blowing amount, according to a density difference between the initial density and a target density.

[0021] Preferably, based on the quantity of fry, the target feeding amount of the breeding feed is determined, specifically including:

[0022] The quantity of fry, the average weight of fish in the breeding pond, and the preset daily feeding rate and feed nutrient coefficient are obtained.

[0023] The daily feeding amount of the breeding pond is calculated through an empirical formula based on the quantity of fry, the average weight, the daily feeding rate, and the feed nutrient coefficient.

[0024] The environmental data of the breeding pond is quantified to obtain an environmental factor correction parameter.

[0025] The daily feeding amount of the breeding pond is corrected through the environmental factor correction parameter to obtain the target feeding amount.

[0026] Preferably, based on the target feeding amount, the working time length of the unloader, the distributor, the accelerator, and the vortex fan is determined to make the feeding amount of the bait feeding device reach the target feeding amount, specifically including:

[0027] The daily feeding frequency for the breeding pond is obtained.

[0028] The single feeding amount of the breeding feed is determined based on the target feeding amount and the daily feeding frequency.

[0029] The working time length is calculated based on the single feeding amount and the unit time feeding amount of the feeding head.

[0030] Preferably, after the target feeding amount of the breeding feed is determined based on the quantity of fry, the method further includes:

[0031] The breeding pond is fed multiple times through the target feeding amount, and the remaining amount of feed after the fish in the breeding pond eat the breeding feed is obtained.

[0032] The actual consumption amount of the fish in the breeding pond is determined based on the target feeding amount and the remaining amount of feed each time.

[0033] The environmental parameters of the breeding pond corresponding to each actual consumption amount are determined.

[0034] A mapping relationship between each actual consumption amount and the environmental parameters is established.

[0035] In a subsequent feeding process, a target feeding amount of the culture pond is adjusted to a real-time feeding amount, and the real-time feeding amount is an actual consumption amount of real-time environmental parameters of the culture pond obtained according to the mapping relationship.

[0036] Based on the above technical solutions, preferably, after the working time lengths of the unloader, the distributor, the accelerator and the vortex fan are determined according to the target feeding amount so that the feeding amount of the bait feeding device reaches the target feeding amount, the method further comprises:

[0037] acquiring meteorological data of the culture pond;

[0038] determining a feeding time period of the culture pond according to the meteorological data;

[0039] allocating a plurality of the working time lengths according to the daily feeding times and the feeding time period, so that the automatic bait feeding device works in the feeding time period.

[0040] In a second aspect of the present application, an automatic bait feeding device for aquaculture is provided, which is a controller of an automatic bait feeding device, and the automatic bait feeding device further comprises a storage bin, an unloader, a feeding head, a distributor, an accelerator and a vortex fan. The controller is connected to the unloader, the distributor, the accelerator and the vortex fan. The storage bin is used to store culture feed. The unloader is used to unload the culture feed in the storage bin to the feeding head. The vortex fan is used to blow air to the accelerator. The accelerator accelerates airflow in a pipe by changing the pipe diameter. The feeding head mixes the culture feed with the airflow in the pipe to spray the culture feed into a powder-particle form, and delivers the powder-particle culture feed to the distributor. The distributor is used to deliver the powder-particle culture feed from a feeding port to a culture pond.

[0041] The device comprises an acquisition module, a processing module and a control module, wherein:

[0042] The acquisition module is used to acquire the type and quantity of fry in each of a plurality of culture ponds.

[0043] The processing module is used to determine a target particle characteristic of the culture feed based on the type of fry, and determine a target feeding amount of the culture feed based on the quantity of fry.

[0044] The control module is used to control the pipe diameter size of the accelerator and the air blowing amount of the vortex fan according to the target particle characteristic, so that the particle characteristic of the culture feed reaches the target particle characteristic.

[0045] The control module is configured to determine working time lengths of the unloader, 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.

[0046] On the basis of the above technical solutions, preferably, the processing module is configured to define input parameters based on the fry type, the input parameters including a fish group type, an average age of the fish group, and an average weight of the fish group.

[0047] The processing module is configured to define output parameters based on the target pellet characteristics, the output parameters including a target density.

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

[0049] The processing module is configured to obtain input values corresponding to the input parameters based on a growth cycle of the fry in the breeding pond.

[0050] The processing module is configured to substitute the input values into the initial reference formula to calculate output values corresponding to the output parameters, so as to obtain the target pellet characteristics.

[0051] On the basis of the above technical solutions, preferably, the control module is configured to set an initial pipe diameter size of the accelerator and an initial air volume of the vortex fan.

[0052] The control module is configured to obtain a measured initial density of the breeding feed sprayed by the distributor when the vortex fan blows air to the accelerator at the initial air volume and the accelerator accelerates airflow in the pipe at the initial pipe diameter size.

[0053] The control module is configured to control the accelerator to reduce the pipe diameter size and control the vortex fan to increase the air volume, or control the accelerator to increase the pipe diameter size and control the vortex fan to reduce the air volume, according to a density difference between the initial density and a target density.

[0054] On the basis of the above technical solutions, preferably, the acquisition module is configured to acquire a number of fry, an average weight, a preset daily feeding rate, and a feed nutrition coefficient of a fish group in the breeding pond.

[0055] The processing module is configured to calculate a daily feeding amount of the breeding pond by 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 configured to quantify environmental data of the breeding pond to obtain an environmental factor correction parameter.

[0057] The processing module is configured to correct the daily feeding amount of the feed according to the environmental factor correction parameter to obtain a target feeding amount.

[0058] In the above technical solution, preferably, the acquisition module is configured to acquire a daily feeding frequency for the breeding pond.

[0059] The processing module is configured to determine a single feeding amount of the breeding feed according to the target feeding amount and the daily feeding frequency.

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

[0061] In the above technical solution, preferably, the acquisition module is configured to acquire a residual amount of the breeding feed after the fish population in the breeding pond eats the breeding feed in multiple times of feeding of the target feeding amount.

[0062] The processing module is configured to determine an actual consumption amount of the fish population in the breeding pond according to the target feeding amount and the residual amount of the feed each time.

[0063] The processing module is configured to determine an environmental parameter of the breeding 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 parameter.

[0065] The control module is configured to adjust the target feeding amount of the breeding pond to a real-time feeding amount in a subsequent feeding process, the real-time feeding amount being an actual consumption amount obtained by a real-time environmental parameter of the breeding pond according to the mapping relationship.

[0066] In the above technical solution, preferably, the acquisition module is configured to acquire meteorological data of the breeding pond.

[0067] The processing module is configured to determine a feeding time period of the breeding pond according to the meteorological data.

[0068] The control module is configured to allocate a plurality of working time lengths according to the daily feeding frequency and the feeding time period, so that the automatic feeding device works in the feeding time period.

[0069] In a third aspect of the present application, an electronic device is provided, comprising a processor, a memory, a user interface and a network interface, the memory being configured to store instructions, the user interface and the network interface each being configured to communicate with other devices, and the processor being configured to execute the instructions stored in the memory to cause the electronic device to perform the method according to any one of the preceding aspects.

[0070] In a fourth aspect of the present application, a computer-readable storage medium is provided, which stores instructions that, when executed, perform the method according to any one of the preceding aspects.

[0071] In summary, the 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, which comprehensively utilizes fish fry type, fish fry quantity, environmental parameter and other data to realize precise feeding. The controller determines the target particle characteristics of the feed according to the fish fry type, generates the particle feed meeting the requirements by adjusting the accelerator pipe diameter and the vortex air blower air volume, calculates the target feeding quantity according to the fish fry quantity, and further controls the working time length of the unloader, the distributor, the accelerator and the vortex air blower to ensure that the feeding quantity precisely matches the fish population demand. At the same time, the feeding strategy is dynamically optimized in combination with the sensor monitoring of environmental data and fish population feeding behavior, the feed waste is reduced, and the feeding efficiency is improved, so as to realize automatic and intelligent efficient breeding management.

[0073] 2. The input parameters such as fish population type, average age and body weight are analyzed, the historical breeding experience and the initial reference formula are combined, the target particle characteristics (such as density) of the feed are accurately determined, and the feed particle is ensured to adapt to the feeding capacity and nutritional requirements of the fish fry. By dynamically adjusting the particle characteristics of the feed, the feeding efficiency and growth effect of the fish population are optimized, the feed waste is reduced, and the breeding benefit is improved.

[0074] 3. The density of the feed particle is precisely matched with the target requirements by dynamically adjusting the pipe diameter size of the accelerator and the air volume of the vortex air blower. By real-time measurement and adjustment, it is ensured that the particle characteristics of the feed meet the feeding requirements of the fish population, the feed conveying efficiency and particle quality consistency are improved, and the feed waste caused by the mismatch of the particle characteristics during the feeding process is reduced.

[0075] 4. The daily feeding quantity of the breeding pond is accurately calculated by using the experience formula in combination with the fish fry quantity, the average body weight, the daily feeding rate, the feed nutrient coefficient and the environmental factor correction. Through the environmental factor correction, the feeding quantity is dynamically adjusted, so that the feed feeding quantity is more in line with the actual breeding environment and the fish population requirements, the feed waste is effectively reduced, and the breeding benefit is improved.

[0076] 5. By monitoring the actual consumption of fish population in real time and combining environmental parameters, dynamically adjusting the feeding amount, making the feeding strategy more accurate. By establishing the mapping relationship between the actual consumption and the environmental parameters, the feeding amount is adjusted in real time to adapt to the environmental changes, thereby reducing feed waste, improving breeding efficiency and fish population health status. BRIEF DESCRIPTION OF DRAWINGS

[0077] Figure 1 is a flowchart of an automatic feeding method for aquatic breeding disclosed by an embodiment of the present application;

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

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

[0080] Figure 4 is a module schematic diagram of an automatic feeding device for aquatic breeding disclosed by an embodiment of the present application;

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

[0082] Explanation of reference signs: 201, controller; 202, storage bin; 203, unloader; 204, material spraying head; 205, distributor; 206, accelerator; 207, vortex fan; 401, acquisition module; 402, processing module; 403, control module; 501, processor; 502, communication bus; 503, user interface; 504, network interface; 505, memory. DETAILED DESCRIPTION

[0083] In order for those skilled in the art to better understand the technical solutions in the specification, the technical solutions in the specification will be clearly and completely described below in conjunction with the drawings in the embodiments of the specification. Obviously, the described embodiments are only some of the embodiments of the present application, not all the embodiments.

[0084] In the description of the embodiments of the present application, the words such as "for example" or "for instance" are used to represent examples, illustrations or descriptions. Any embodiment or design scheme described as "for example" or "for instance" in the embodiments of the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the words such as "for example" or "for instance" are intended to present the relevant concepts in a specific manner.

[0085] In the description of the embodiments of the present application, the term "a plurality of" 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", "second", etc. are used only for the purpose of description and should not be understood as indicating or implying relative importance or implicitly indicating the technical features indicated. Therefore, the features defined with "first", "second", etc. can explicitly or implicitly include one or more of the features. The terms "include", "contain", "have" and their variants mean "include but are not limited to", unless otherwise specifically emphasized.

[0086] Aquaculture is an agricultural activity that breeds fish in a controlled environment to meet market demand, widely used in global aquatic product supply chain, promoting the sustainable development of the industry. However, the traditional manual feeding method has problems such as low efficiency, feed waste and uneven feeding, which restricts the development of large-scale and automation. By introducing an intelligent automatic feeding system, the feeding amount and frequency can be accurately controlled, which can significantly improve the breeding efficiency and economic benefits, and help the aquaculture industry to achieve efficient and sustainable development.

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

[0088] The automatic feeding method for aquaculture disclosed by the embodiment of the present application is applied to the controller 201 of the automatic feeding device, referring to Figure 2 , the automatic feeding device further comprises a storage bin 202, a discharger 203, a feeding head 204, a distributor 205, an accelerator 206 and a vortex fan 207, and the controller 201 is arranged in the control cabinet and can automatically / manual control the operation of the electrical elements of each part of the automatic feeding machine. Among them, the controller 201 is connected with the discharger 203, the distributor 205, the accelerator 206 and the vortex fan 207, the storage bin 202 is used for storing breeding feed, the discharger 203 is used for discharging the breeding feed in the storage bin 202 to the feeding head 204, the vortex fan 207 is used for blowing air to the accelerator 206, the accelerator 206 accelerates the airflow in the pipe by changing the pipe diameter, the feeding head 204 mixes the breeding feed with the airflow in the pipe to spray the breeding feed into powder particles, and the powder particles of the breeding feed are transported to the distributor 205, and the distributor 205 is used for transporting the powder particles of the breeding feed from the feeding port to the breeding pond.

[0089] Referring to Figure 3The mode control switch is adjusted to the ration feeding mode, and each corresponding hole of the culture pond is inputted with the timing time, the environmental parameters of the culture pond, and the fish fry related parameters and other parameters in the parameter setting page. After confirming that the parameters are correct, the main page is returned, and the "automatic feeding" is clicked. The vortex fan 207 is started, and after reaching the preset fan advance time, the unloader 203 starts working. The distributor 205 sends the feed into the corresponding culture pond pipe interface according to the preset positioning time, and after a single feeding is completed, the unloader 203 stops working. After reaching the preset fan delay time, the vortex fan 207 stops working, and the single feeding is completed. The control switch is turned to the automatic mode, and the automatic feeder will complete the feeding work of multiple culture ponds according to the preset culture pond feeding quantity parameters.

[0090] S110, the type and quantity of fish fry in each culture pond are obtained.

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

[0092] S120, based on the type of fish fry, the target particle characteristics of the culture feed are determined, and based on the quantity of fish fry, the target feeding quantity of the culture feed is determined.

[0093] In a possible implementation, based on the type of fish fry, the target particle characteristics of the culture feed are determined, specifically including: defining input parameters based on the type of fish fry, the input parameters including fish population, average age of fish population, and average weight of fish population; defining output parameters based on the target particle characteristics, the output parameters including target density; forming an initial reference formula based on historical aquaculture experience, the initial reference formula being used to quantify the linear relationship between the input parameters and the output parameters; obtaining input values corresponding to the input parameters based on the growth cycle of fish fry in the culture pond; and substituting the input values into the initial reference formula to calculate output values corresponding to the output parameters, so as to obtain the target particle characteristics.

[0094] Specifically, the input parameter definition and data source are obtained according to the manually inputted fish population such as grass carp, sea bass, and tilapia, the average age of the fish population in the fish fry release record or management system database, and the average individual weight of the fish population obtained by weighing record.

[0095] After starting the vortex fan 207, the vortex fan 207 can form a high-speed low-pressure air flow in the pipeline, the feeder 203 and the accelerator 206 add feed to the feed head 204 pipeline, and the feed particles are driven by the high-speed airflow to pass through the distributor 205 to different target aquaculture water areas along the designated pipeline, and are uniformly spread on the aquaculture water surface by the spreader at the end of the pipeline. The distributor 205 can switch the transport path of the feed between the pipelines leading to different aquaculture ponds, realizing one feeding system for multiple aquaculture ponds.

[0096] The controller 201 controls the pipe diameter size of the accelerator 206 and the air volume of the vortex fan 207 to spray the mixed aquaculture feed into powder particles of different densities to meet the needs of sinking, suspension or floating, and ensure the feeding effect of fish in different aquaculture ponds. Therefore, the user needs to predefine the output parameter, that is, the target density.

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

[0098] ρ=k×S a ×W b ×A c +C

[0099] Wherein, 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 population, b is the empirical coefficient corresponding to the average weight of the fish population, A is the average age of the fish population, c is the empirical coefficient corresponding to the average age of the fish population, and C is the correction parameter.

[0100] In one possible implementation, 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 population in the aquaculture pond, and the preset daily feeding rate and the feed nutrition coefficient; according to the number of fry, the average weight, the daily feeding rate and the feed nutrition coefficient, the daily feeding amount of the aquaculture pond is calculated through the empirical formula; the environmental data of the aquaculture pond is quantified to obtain the environmental factor correction parameter; and the daily feeding amount of the feed is corrected 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 technology, and part of the weight data of the fry is sampled to calculate the average weight of the fish population. According to the preset of fish species and growth stage, for example, 1%-3%, which means the daily feeding amount accounts for a percentage of the total weight of the fish. The feed nutrition coefficient refers to the proportion of the nutritional ingredients of the feed, such as protein content, energy density, etc., to ensure the growth needs of the fry.

[0102] The daily feeding amount of feed is calculated by a formula established by using industry standards or historical farming data, and the empirical formula is as follows:

[0103]

[0104] wherein D is the daily feeding amount of feed, 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 fry, P f is the target protein content of feed (%), P d is the protein content required by fish population (%), which is determined by the growth requirement of fry, C e is an environmental correction factor, which is used to correct the change in feeding caused by environmental conditions.

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

[0106] Then the correction parameter is applied to the calculation of the daily feeding amount of feed to obtain the target feeding amount. Specifically, the real-time environmental data of the farming pond is obtained through sensors or monitoring devices, including the water temperature affecting the metabolic rate of fish population. Low dissolved oxygen environment can reduce the feeding amount of fish population. High ammonia nitrogen concentration can inhibit growth and reduce feeding requirement. Light and water flow affect the activity and feeding behavior of fish population. The correction model based on environmental data is established through environmental data, and is specifically expressed as follows:

[0107] C e = T f · O f · N f · L f

[0108] wherein T f is the water temperature correction factor, which is determined according to the deviation of water temperature from the suitable temperature range of fish species, O f is the dissolved oxygen correction factor, which is reduced when the dissolved oxygen is insufficient, N f is the ammonia nitrogen correction factor, which is reduced when the ammonia nitrogen concentration is too high, and L f is the light and water flow correction factor, which reflects the activity of fish population.

[0109] S130, according to the target particle characteristics, controls the pipe diameter size of the accelerator 206 and the air blowing amount of the vortex blower 207, so as to make the particle characteristics of the farming feed reach the target particle characteristics.

[0110] In a possible implementation, according to the target particle characteristics, the tube diameter of the accelerator 206 and the air volume of the vortex fan 207 are controlled to reach the target particle characteristics of the breeding feed, specifically including: setting the initial tube diameter of the accelerator 206 and the initial air volume of the vortex fan 207; when the vortex fan 207 blows air to the accelerator 206 through the initial air volume and the accelerator 206 accelerates the airflow in the tube at the initial tube diameter, the initial density of the breeding feed sprayed by the distributor 205 is obtained; according to the density difference between the initial density and the target density, the tube diameter of the accelerator 206 is controlled to be reduced, and the air volume of the vortex fan 207 is controlled to be increased, or the tube diameter of the accelerator 206 is controlled to be increased, and the air volume of the vortex fan 207 is controlled to be reduced.

[0111] Specifically, the tube diameter of the accelerator 206 is set, and the initial value can be set based on experience or default, for example, to adapt to the medium density requirement. The air volume of the vortex fan 207 is set, and the initial value can be set to the middle power section of the fan to balance the airflow speed and flow.

[0112] The vortex fan 207 blows air to the accelerator 206 at the initial air volume, the accelerator 206 accelerates the airflow through the initial tube diameter, and pushes the feed particles through the tube. The feed particles are mixed with the airflow by the feed spraying head 204 and sprayed out, and then transported to the breeding pond through the distributor 205. At the outlet of the distributor 205, a sample of the sprayed feed is collected, and the particle density is measured by volume or weight.

[0113] According to the size relationship between the initial density and the target density, the current particle density is low, and the particle density needs to be increased, and vice versa. Then the tube diameter of the accelerator 206 and the air volume of the vortex fan 207 are dynamically adjusted according to the density difference between the initial density and the target density. For the particle density that is too low, the tube diameter is controlled to be smaller, the airflow channel is narrower, the airflow speed is increased, the airflow kinetic energy is increased, the feed particles are forced more strongly, and the sprayed particles are more dense. At the same time, the air volume of the vortex fan 207 is increased to increase the airflow pressure and speed and enhance the mixing and acceleration effect of the particles. For the particle density that is too high, the tube diameter is controlled to be larger, the airflow channel is wider, the airflow speed is reduced, the force on the feed particles is weakened, and the sprayed particles become loose. At the same time, the air volume of the vortex fan 207 is reduced to reduce the airflow pressure and speed. After each adjustment, the particle density of the feed at the outlet of the distributor 205 is measured again, and the tube diameter of the accelerator 206 and the air volume of the vortex fan 207 are continuously adjusted according to the new density difference until the density error meets the preset tolerance range.

[0114] S140, 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 to make the feeding amount of the feeding device reach the target feeding amount.

[0115] In a possible implementation, according to the target feeding amount, the working time length of the discharger 203, the distributor 205, the accelerator 206, and the vortex fan 207 is determined to make the feeding amount of the feeding device reach the target feeding amount, and specifically includes: obtaining the daily feeding times for the breeding pond; determining the single feeding amount of the breeding feed according to the target feeding amount and the daily feeding times; and calculating the working time length according to the single feeding amount and the feeding amount per unit time of the feeding head 204.

[0116] Specifically, the daily feeding times are obtained, and the daily feeding times are determined according to the growth stage and biological characteristics of the fish population. For example, the metabolic rate of juvenile fish is high, and the daily feeding times are more, usually 6-8 times. The metabolic rate of adult fish is slow, and the daily feeding times are reduced, usually 2-4 times. In summary, the feeding times can be set based on experience, or can be dynamically adjusted, such as being affected by water temperature, feeding conditions and other factors.

[0117] The daily target feeding amount is evenly distributed according to the daily feeding times to determine the feed amount of each feeding. If the target feeding amount is large, a non-uniform distribution strategy can be considered, for example, more feeding in the morning and evening, and less feeding in the middle of the day, to conform to the feeding habits of the fish population. If the fish population has strong feeding capacity in a specific time period (such as early morning or evening), the feeding amount in this period can be appropriately increased. Factors to be considered include fish activity, weather conditions, and whether there is remaining feed in the breeding pond.

[0118] The feeding head 204 of the feeding device usually has a fixed feeding capacity per unit time, for example, a certain weight of feed can be sprayed per minute. The feeding efficiency value of the feeding head 204 is obtained through device debugging or device parameter table. Combined with the actual operation of the device (such as feed particle density, air flow speed, etc.), whether the feeding amount of the feeding head 204 meets the theoretical value is tested. If there is a deviation in the actual spraying efficiency, the device parameters (such as air volume, pipe diameter) can be adjusted for correction.

[0119] Finally, the time for which the feeding head 204 needs to operate is calculated according to the feeding amount of each feeding and the feeding amount per unit time of the feeding head 204. For example, if the single feeding amount is large, the device needs to operate for a longer time; otherwise, the operation time is shorter.

[0120] In a possible implementation, after determining the target feeding amount of the breeding feed based on the quantity of fry, the method further includes: feeding the target feeding amount to the breeding pond for multiple times, and obtaining the residual amount of the breeding feed after the fish population in the breeding pond consumes the breeding feed; determining the actual consumption amount of the fish population in the breeding pond according to the target feeding amount and the residual amount each time; determining the environmental parameter of the breeding pond corresponding to each actual consumption amount; establishing a mapping relationship between the actual consumption amount and the environmental parameter; and adjusting the target feeding amount of the breeding pond to a real-time feeding amount in a subsequent feeding process, where the real-time feeding amount is the actual consumption amount obtained by the real-time environmental parameter of the breeding pond according to the mapping relationship.

[0121] Specifically, the breeding pond is fed according to the preset target feeding amount multiple times, and the feeding time, feeding amount, and related operation parameters each time are recorded. After feeding, the residual amount of the breeding feed in the breeding pond is detected by an automatic device such as an underwater camera, a feed sensor, or a manual method. The residual amount can be estimated by the weight or particle number of the sinking feed, or the feeding process of the fish population can be analyzed by using a camera to evaluate whether the feeding is sufficient.

[0122] According to the target feeding amount and the residual amount each time, the actual feeding amount of the fish population is determined. If the measurement data of the residual amount is abnormal (for example, measurement deviation caused by device failure or external interference), the abnormal data needs to be removed to ensure that the actual consumption data truly reflects the feeding behavior of the fish population.

[0123] The environmental parameters closely related to the feeding behavior of the fish population and convenient to measure are selected, such as water temperature, dissolved oxygen content, pH value, water flow speed, light intensity, and air pressure change. The environmental monitoring equipment is used to continuously record the environmental parameters of the breeding pond. After each feeding, the actual consumption amount is corresponded to the environmental parameter at that time.

[0124] The actual consumption amount of multiple feedings and the corresponding environmental parameter data are arranged into a sample set, and the relationship between the actual consumption amount of the fish population and each environmental parameter is analyzed. A mapping model of the actual consumption amount and the environmental parameter is established by a data analysis method (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 has an important effect on the activity and feeding amount of the fish population. More feeding data are monitored for a long time, and the mapping model is continuously optimized to ensure its accuracy and adaptability.

[0125] Before each feeding, the current real-time environmental parameters of the culture pond are collected to ensure that the parameter data reflects the actual situation. According to the real-time environmental parameters, the actual feeding amount of the fish population is predicted, i.e. the real-time feeding amount, by using the mapping model established before. The predicted real-time feeding amount is used as the target feeding amount for the new round of feeding, reducing feed waste and environmental pollution. If the real-time environmental parameters indicate that the fish population may have low feeding capacity (such as low water temperature, insufficient dissolved oxygen), the feeding amount is correspondingly reduced; otherwise, the feeding amount is appropriately increased to meet the needs of the fish population.

[0126] In a possible implementation, after determining the working time lengths 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: acquiring meteorological data of the culture pond; determining a feeding time period of the culture pond according to the meteorological data; and distributing the plurality of working time lengths according to the daily feeding times and the feeding time period, so that the automatic feeding device works in the feeding time period.

[0127] Specifically, first, the types of key meteorological data are determined, and the meteorological data related to the feeding behavior of the fish population include temperature, especially water temperature, light intensity, wind speed and direction, air pressure, and weather conditions, such as sunny, cloudy, and rain. Real-time meteorological data is obtained using a meteorological sensor or from a meteorological station around the culture farm. If conditions permit, historical data and prediction models are used to obtain meteorological data for a future period of time.

[0128] The influence of meteorology on fish feeding is analyzed. When the water temperature is within an appropriate range, usually 20-30℃, depending on the fish species, the fish population has the strongest feeding capacity. If the water temperature is too low or too high, feeding should be avoided during this time period. Fish feeding activity is strongly associated with light, and usually most active when light is moderate in the morning or evening. Strong winds, heavy rain or severe weather changes can cause water disturbance, reducing fish feeding activity, and should be avoided during feeding. Large changes in pressure can affect the fish's floating and sinking habits, and fish may reduce feeding during low pressure.

[0129] According to the real-time values and trends of the above meteorological factors, a day is divided into multiple time periods, and the feeding suitability of each time period is marked, for example: 7:00-9:00 in the morning is suitable for feeding, and 12:00-14:00 in the afternoon is not suitable for feeding.

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

[0131] According to the weather suitability, the single feeding time is allocated, the morning time period is allocated with more feeding amount and device working time. The noon time period reduces the feeding amount or completely avoids feeding. The afternoon time period increases the feeding amount again. Ensure that the device completes all feeding tasks in the suitable time period.

[0132] The embodiment also discloses an automatic feeding device for aquaculture, which is a controller 201 of the automatic feeding device, referring to Figure 2 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 for storing breeding feed, the discharger 203 is used for discharging the breeding feed in the storage bin 202 to the spray head 204, the vortex fan 207 is used for blowing air to the accelerator 206, the accelerator 206 accelerates the airflow in the pipe by changing the pipe diameter, the spray head 204 mixes the breeding feed with the airflow in the pipe to spray the breeding feed into a powder-particle shape, and the powder-particle-shaped breeding feed is delivered to the distributor 205, and the distributor 205 is used for delivering the powder-particle-shaped breeding feed from the feeding port to the breeding pond.

[0133] Referring to Figure 4 The device comprises an acquisition module 401, a processing module 402 and a control module 403, wherein:

[0134] The acquisition module 401 is used for acquiring the type of fry and the number of fry in each of a plurality of breeding ponds.

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

[0136] The control module 403 is used for controlling the pipe diameter size of the accelerator 206 and the air blowing amount of the vortex fan 207 according to the target particle characteristics, so that the particle characteristics of the breeding feed reach the target particle characteristics.

[0137] The control module 403 is configured to determine working time lengths 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.

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

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

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

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

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

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

[0144] The control module 403 is configured to obtain a measured initial density of the breeding feed sprayed by the distributor 205 when the vortex fan 207 blows air to the accelerator 206 at the initial air volume, and the accelerator 206 accelerates the airflow in the pipe at the initial pipe diameter size.

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

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

[0147] The processing module 402 is configured to calculate the daily feeding amount of the breeding pond by using an empirical formula according to the number of fry, the average weight of the fry, 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 feeding amount of the feed according to the environmental factor correction parameter to obtain a target feeding amount.

[0150] In a possible implementation, the acquisition module 401 is configured to acquire a daily feeding frequency of the culture pond.

[0151] The processing module 402 is configured to determine a single feeding amount of the culture feed according to the target feeding amount and the daily feeding frequency.

[0152] The processing module 402 is configured to calculate a working time according to the single feeding amount and a unit time feeding amount of the feeding head 204.

[0153] In a possible implementation, the acquisition module 401 is configured to acquire a residual amount of the culture feed after the fish in the culture pond eat the culture feed in multiple times of feeding of the culture pond by the target feeding amount.

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

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

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

[0157] The control module 403 is configured to adjust the target feeding amount of the culture pond to a real-time feeding amount in a subsequent feeding process, and the real-time feeding amount is an actual consumption amount of the culture pond obtained according to a real-time environmental parameter of the culture pond and the mapping relationship.

[0158] In a possible implementation, the acquisition module 401 is configured to acquire meteorological data of the culture pond.

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

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

[0161] It should be noted that the apparatus provided in the above embodiments is only used as an example for the division of the above functional modules in realizing the functions thereof, and in actual applications, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the apparatus is divided into different functional modules to complete all or part of the above described functions. In addition, the apparatus and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process is shown in the method embodiments, which will not be described here.

[0162] The embodiment also discloses an electronic device, referring to Figure 5 The electronic device can 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] The communication bus 502 is used to realize the connection communication between the components.

[0164] The user interface 503 can include a display screen (Display) and a camera (Camera), and the optional user interface 503 can further include a standard wired interface and a wireless interface.

[0165] The network interface 504 can optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0166] The processor 501 can include one or more processing cores. The processor 501 connects various parts in the server through various interfaces and lines, executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 505 and calling data stored in the memory 505. Optionally, the processor 501 can be realized in at least one of the hardware forms of a digital signal processing (DSP), a field-programmable gate array (FPGA) and a programmable logic array (PLA). The processor 501 can be integrated with a combination of one or more of a central processing unit (CPU), a graphics processor (GPU) and a modem. The CPU is mainly used to process an operating system, a user interface and an application program; the GPU is used to render and draw the content to be displayed on the display screen; and the modem is used to process wireless communication. It can be understood that the above-mentioned modem can also not be integrated into the processor 501, but be realized by a separate chip.

[0167] The memory 505 can include a random access memory (RAM) and can also include a read-only memory (ROM). 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 can include a program storage area and a data storage area, where the program storage area can store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described above, etc.; the data storage area can store data involved in the various method embodiments described above, etc. The memory 505 can also be at least one storage device located away from the aforementioned processor 501. The memory 505, as a computer storage medium, can include an operating system, a network communication module, a user interface 503 module, and an application program of an automatic bait feeding method for aquaculture.

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

[0169] It should be noted that, for the foregoing method embodiments, in order to simply describe, they are all expressed as a combination of a series of actions, but those skilled in the art should know that the present application is not limited to the action order described, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions and modules involved are not necessarily necessary for the present application.

[0170] In the above embodiments, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0171] In several embodiments provided in the present application, it should be understood that the disclosed apparatus can be implemented in other manners. For example, the division of the apparatus embodiments is merely illustrative, and the division of units can be changed according to actual needs. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed coupling or direct coupling or communication connection between units can be indirect coupling or communication connection through some intermediary, and can be electrical or other forms.

[0172] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one place or distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0173] In addition, the functional units in the various embodiments of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0174] If the integrated unit is realized in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium 505 and includes a number of 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 various embodiments of the method of the present application. The aforementioned storage medium 505 includes: a U disk, a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

[0175] The present application also discloses a computer readable storage medium, which stores instructions. When executed by one or more processors 501, the electronic device executes the method described in one or more of the above embodiments.

[0176] The above descriptions are merely some example embodiments of the present disclosure, and cannot limit the scope of the present disclosure. That is, equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. Other embodiments of the present disclosure will be readily apparent to those skilled in the art upon considering the specification and practice of the present disclosure. The present application is intended to cover any variations, uses, or adaptive changes of the present disclosure that follow the general principles of the present disclosure and include common knowledge or conventional technical means in the art that are not described in the present disclosure. The specification and examples are merely considered 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 the controller (201) of an automatic feeding device, which further includes a storage bin (202), a feed unloader (203), a feed nozzle (204), a distributor (205), an accelerator (206), and a vortex blower (207). The controller (201) is connected to the feed unloader (203), the distributor (205), the accelerator (206), and the vortex blower (207). The storage bin (202) is used to store aquaculture feed. The feed unloader (203)... The vortex blower (207) is used to unload the aquaculture feed in the storage bin (202) to the spray head (204). The vortex blower (207) is used to blow air into the accelerator (206). The accelerator (206) accelerates the airflow in the pipe by changing the pipe diameter. The spray head (204) mixes the aquaculture feed with the airflow in the pipe to spray the aquaculture feed into powder form and conveys the powder form to the distributor (205). The distributor (205) is used to convey the powder form to the aquaculture pond from the feed inlet. The method includes: Obtain the type and quantity of fish fry in each of the multiple aquaculture ponds; Based on the type of fish fry, the target particle characteristics of the culture feed are determined, and based on the number of fish fry, the target feeding amount of the culture feed is determined. Based on the target particle characteristics, the pipe diameter 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. Based on the target feeding amount, determine the working time of the unloader (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; The step of determining the operating time of the unloader (203), the distributor (205), the accelerator (206), and the vortex blower (207) based on the target feeding amount, so as to ensure that the feeding amount of the feeding device reaches the target feeding amount, specifically includes: Obtain the daily feeding frequency for the aforementioned aquaculture pond; The amount of feed to be fed per feeding is determined based on the target feeding amount and the number of feedings per day. The working time is calculated based on the single feeding amount and the feeding amount per unit time of the nozzle (204); After determining the operating duration of the unloader (203), the distributor (205), the accelerator (206), and the vortex blower (207) based on the target feeding amount, so that the feeding amount of the feeding device reaches the target feeding amount, the method further includes: Obtain meteorological data for the aquaculture pond; Based on the meteorological data, the feeding time period for the aquaculture pond is determined; Based on the daily feeding frequency and the feeding time period, multiple working hours are allocated so that the automatic feeding device can operate within the feeding time period.

2. The automatic feeding method for aquaculture according to claim 1, characterized in that, The determination of the target particle characteristics of the aquaculture feed based on the fish fry type specifically includes: Input parameters are defined based on the fish fry type, including fish group type, average age of fish group, and average weight of fish group; Output parameters are defined based on the target particle characteristics, and the output parameters include the target density; Based on historical aquaculture experience, an initial reference formula is formed, which is used to quantify the linear relationship between the input parameters and the output parameters; Based on the growth cycle of fish fry in the breeding pond, obtain the input values ​​corresponding to the input parameters; Substitute the input values ​​into the initial reference formula to calculate the output values ​​corresponding to the output parameters, and obtain the target particle characteristics.

3. The automatic feeding method for aquaculture according to claim 2, characterized in that, The step of controlling the pipe diameter of the accelerator (206) and the air volume of the vortex blower (207) according to the target particle characteristics to achieve the target particle characteristics of the aquaculture feed specifically includes: Set the initial pipe diameter of the accelerator (206) and the initial air volume of the vortex blower (207); When the vortex blower (207) blows air to the accelerator (206) with the initial blower volume, and the accelerator (206) accelerates the airflow in the pipe with the initial pipe diameter, the initial density of the aquaculture feed sprayed by the distributor (205) is measured. Based on the density difference between the initial density and the target density, the accelerator (206) is controlled to reduce the pipe diameter while the vortex blower (207) is controlled to increase the air volume, or the accelerator (206) is controlled to increase the pipe diameter while the vortex blower (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 fish fry specifically includes: The number of fish fry, average weight, and preset daily feeding rate and feed nutrient coefficient of the fish population in the breeding pond are obtained. Based on the number of fish fry, the average weight, the daily feeding rate, and the feed nutrient coefficient, the daily feed intake for the aquaculture pond is calculated using an empirical formula. The environmental data of the aquaculture ponds are quantified to obtain environmental factor correction parameters; The target feeding amount is obtained by correcting the daily feed intake using the environmental factor correction parameters.

5. 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 fish fry, the method further includes: The amount of feed remaining in the aquaculture pond after the fish have consumed the aquaculture feed after being fed multiple times with the target feeding amount is obtained. The actual consumption of the fish in the aquaculture pond is determined based on the target feeding amount and the amount of feed remaining each time. Determine the environmental parameters of the aquaculture pond corresponding to each actual consumption amount; Establish a mapping relationship between each of the actual consumption amounts and the environmental parameters; In subsequent feeding processes, the target feeding amount in the aquaculture pond is adjusted to the real-time feeding amount, which is the actual consumption amount obtained from the real-time environmental parameters of the aquaculture pond based on the mapping relationship.

6. An automatic feeding device for aquaculture, characterized in that, The device is used to perform the method as described in any one of claims 1-5, the device being a controller (201) of an automatic feeding device, the automatic feeding device further comprising a storage bin (202), a feed unloader (203), a feed nozzle (204), a distributor (205), an accelerator (206), and a vortex blower (207), wherein the controller (201) is connected to the feed unloader (203), the distributor (205), the accelerator (206), and the vortex blower (207), and the storage bin (202) is used to store aquaculture feed. The feed unloader (203) is used to unload the aquaculture feed in the storage bin (202) to the spray head (204), the vortex blower (207) is used to blow air into the accelerator (206), the accelerator (206) accelerates the airflow in the pipe by changing the pipe diameter, the spray head (204) mixes the aquaculture feed with the airflow in the pipe to spray the aquaculture feed into powder, and conveys the powdered aquaculture feed to the distributor (205), the distributor (205) is used to convey the powdered aquaculture feed from the feed inlet to the aquaculture pond; The device includes 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 fish fry in each of the multiple aquaculture ponds; The processing module (402) is used to determine the target particle characteristics of the aquaculture feed based on the type of fish fry and to determine the target feeding amount of the aquaculture feed based on the number of fish 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 aquaculture feed reach the target particle characteristics. The control module (403) is used to determine the working time of the unloader (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.

7. An electronic device, characterized in that, The device includes a processor (501), a communication bus (502), a user interface (503), a network interface (504), and a memory (505). 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 the connection and communication between the components within the electronic device. The processor (501) is used to execute the instructions stored in the memory (505) so that the electronic device performs the method described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions that, when executed, perform the method as described in any one of claims 1-5.

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