A method and device for the environmental temperature of a recirculating aquaculture area

Abstract

The present invention provides a method and device for controlling the environmental temperature in a recirculating aquaculture area. The method includes: determining a heat environment temperature transfer model corresponding to the recirculating aquaculture area; obtaining a first output temperature value based on the heat environment temperature transfer model; inputting the input temperature value and the output temperature value of the user terminal into a feedback control model to obtain a regulation parameter output by the feedback control model; performing corresponding regulation on the heat environment temperature transfer model based on the regulation parameter to obtain a new output temperature value, and outputting a corresponding target regulation parameter until the new output temperature value is equal to the input temperature value; regulating a heater in the recirculating aquaculture area based on the target regulation parameter so that the heat environment temperature in the recirculating aquaculture area correspondingly meets the input temperature value. The method provided by the present invention can effectively reduce the workload of aquaculture workers and improve the accuracy and stability of the environmental temperature regulation in the recirculating aquaculture area.

Description

Technical Field

[0001] The present invention relates to the field of computer technologies, and particularly to a method and a device for regulating the environmental temperature in a recirculating aquaculture area. Additionally, it also relates to an electronic device and a processor-readable storage medium. Background Art

[0002] Aquatic products are deeply loved by consumers due to their low fat content, tender meat, and rich protein, etc. Currently, the main aquaculture methods include: pond aquaculture, large-scale freshwater aquaculture, shallow sea aquaculture, marine beach aquaculture, and industrial aquaculture, etc. Among them, extensive aquaculture modes such as pond aquaculture and cage aquaculture currently account for a large proportion in the aquaculture industry. Traditional aquaculture not only leads to problems such as high land resource occupation and high energy resource consumption, but also has problems such as low aquaculture output, poor quality of aquatic products, and serious environmental pollution. Compared with traditional aquaculture methods, recirculating aquaculture can save more than 90% of water consumption and 99% of land occupation. It can achieve high-density aquaculture, with high controllability of the aquaculture environment, good quality of aquaculture aquatic products, and environmental friendliness. With the rapid development of recirculating aquaculture technology, industrial recirculating aquaculture system (RAS), as a new type of land-based aquaculture method, has been rapidly promoted and applied.

[0003] Among them, seedling breeding is an important link in the process of recirculating aquaculture, and it is an important material basis and guarantee for carrying out aquaculture production. The quality of seedlings is related to the future development of the entire fishery. However, juvenile fish have sensitive physiological characteristics, low immunity, and high requirements for environmental stability. The traditional recirculating aquaculture method is difficult to meet the requirements of juvenile fish for the growth environment. Currently, there are many problems in the cultivation link of recirculating aquaculture of juvenile fish, such as resource waste, low production efficiency, high aquaculture risks, heavy workload of technical personnel, and poor accuracy and stability of environmental temperature regulation in the recirculating aquaculture area. Therefore, how to design a stable and accurate environmental temperature regulation scheme for the recirculating aquaculture area has become an urgent technical problem to be solved. Summary of the Invention

[0004] For this reason, the present invention provides a method and a device for regulating the environmental temperature in a recirculating aquaculture area to solve the defects in the prior art that the environmental temperature regulation scheme in the recirculating aquaculture area has high limitations, resulting in poor accuracy and stability of environmental temperature regulation, and heavy workload, etc.

[0005] The present invention provides a method for regulating the environmental temperature in a recirculating aquaculture area, including:

[0006] Determining a heat environment temperature transfer model corresponding to the recirculating aquaculture area;

[0007] Obtain the corresponding first output temperature value based on the thermal environment temperature transfer model;

[0008] Input the input temperature value of the user terminal and the output temperature value into a preset feedback control model to obtain the regulation parameters output by the feedback control model; wherein, the input temperature value is the expected ideal value of the thermal environment temperature corresponding to the recirculating aquaculture area;

[0009] Perform corresponding regulation on the thermal environment temperature transfer model based on the regulation parameters to obtain a new output temperature value. Until the new output temperature value is equal to the input temperature value, output the corresponding target regulation parameters;

[0010] Regulate the heater in the recirculating aquaculture area based on the target regulation parameters so that the thermal environment temperature of the recirculating aquaculture area correspondingly meets the input temperature value.

[0011] Further, the method for regulating the environmental temperature of the recirculating aquaculture area further includes:

[0012] Obtain the expected ideal value of the thermal environment temperature and the actual temperature value of the recirculating aquaculture area collected at the current moment based on a preset fuzzy controller, and output an optimized regulation quantity corresponding to the feedback control model based on the expected ideal value of the thermal environment temperature, the actual temperature value of the recirculating aquaculture area collected at the current moment, and a preset fuzzy control inference rule; the optimized regulation quantity is an optimized operation parameter quantity obtained through fuzzy control processing;

[0013] Perform optimization processing on the original regulation quantity in the feedback control model based on the optimized regulation quantity to obtain the first actual regulation quantity;

[0014] Input the input temperature value and the output temperature value into the feedback control model corresponding to the first actual regulation quantity to obtain the corresponding second actual regulation parameters;

[0015] Perform corresponding regulation on the thermal environment temperature transfer model based on the second actual regulation parameters to obtain a second output temperature value. Until the second output temperature value is equal to the input temperature value, output the corresponding second target regulation parameters;

[0016] Regulate the heater based on the second target regulation parameters so that the thermal environment temperature of the recirculating aquaculture area correspondingly meets the input temperature value.

[0017] Further, the method for regulating the environmental temperature of the recirculating aquaculture area further includes:

[0018] The particle swarm optimization model is used to dynamically optimize the expected ideal value of the thermal environment temperature obtained by the fuzzy controller and the actual temperature value of the recirculating aquaculture area collected at the current moment, and output a new optimized control quantity corresponding to the feedback control model;

[0019] Based on the new optimized control quantity, the original control quantity in the feedback control model is optimized to obtain a second actual control quantity;

[0020] The input temperature value and the output temperature value are input into the feedback control model corresponding to the second actual control quantity to obtain a corresponding third actual control parameter;

[0021] Based on the third actual control parameter, the thermal environment temperature transfer model is correspondingly regulated to obtain a third output temperature value. When the third output temperature value is equal to the input temperature value, the corresponding third target control parameter is output;

[0022] Based on the third target control parameter, the heater is regulated so that the thermal environment temperature of the recirculating aquaculture area correspondingly meets the input temperature value.

[0023] Further, the first actual control quantity includes the actual control quantity of the proportional regulation coefficient, the actual control quantity of the integral regulation coefficient, and the actual control quantity of the differential regulation coefficient corresponding to the feedback control model.

[0024] Further, the second actual control quantity includes the actual control quantity of the proportional regulation coefficient, the actual control quantity of the integral regulation coefficient, and the actual control quantity of the differential regulation coefficient corresponding to the feedback control model obtained after being processed by the particle swarm optimization model.

[0025] Further, the thermal environment temperature transfer model is a thermal environment transfer function model based on preset thermodynamic principles and mass-energy balance principles, which is used to represent the influence of environmental factors in the recirculating aquaculture area.

[0026] Further, the first output temperature value is the actual temperature value of the recirculating aquaculture area collected currently.

[0027] The present invention also provides an environmental temperature regulation device for a recirculating aquaculture area, including:

[0028] A temperature transfer model determination unit for determining the thermal environment temperature transfer model corresponding to the recirculating aquaculture area;

[0029] A temperature value acquisition unit for obtaining a corresponding first output temperature value based on the thermal environment temperature transfer model;

[0030] A regulation parameter acquisition unit, configured to input the input temperature value of the user side and the output temperature value into a preset feedback control model, and obtain the regulation parameter output by the feedback control model; wherein, the input temperature value is the expected ideal value of the thermal environment temperature corresponding to the recirculating aquaculture area;

[0031] A target regulation parameter determination unit, configured to perform corresponding regulation on the thermal environment temperature transfer model based on the regulation parameter, obtain a new output temperature value, and output a corresponding target regulation parameter until the new output temperature value is equal to the input temperature value;

[0032] An environmental temperature regulation unit, configured to regulate a heater in the recirculating aquaculture area based on the target regulation parameter, so that the thermal environment temperature of the recirculating aquaculture area correspondingly meets the input temperature value.

[0033] Furthermore, the environmental temperature regulation device for the recirculating aquaculture area further includes:

[0034] A fuzzy control optimization unit, configured to obtain the expected ideal value of the thermal environment temperature and the actual temperature value of the recirculating aquaculture area collected at the current moment based on a preset fuzzy controller, and output an optimized regulation quantity corresponding to the feedback control model based on the expected ideal value of the thermal environment temperature, the actual temperature value of the recirculating aquaculture area collected at the current moment, and a preset fuzzy control inference rule; the optimized regulation quantity is an optimized operation parameter quantity obtained through fuzzy control processing;

[0035] A first actual regulation quantity determination unit, configured to optimize the original regulation quantity in the feedback control model based on the optimized regulation quantity to obtain a first actual regulation quantity;

[0036] The regulation parameter acquisition unit is further configured to input the input temperature value and the output temperature value into a feedback control model corresponding to the first actual regulation quantity, and obtain a corresponding second actual regulation parameter;

[0037] The target regulation parameter determination unit is further configured to perform corresponding regulation on the thermal environment temperature transfer model based on the second actual regulation parameter, obtain a second output temperature value, and output a corresponding second target regulation parameter until the second output temperature value is equal to the input temperature value;

[0038] The environmental temperature regulation unit is further configured to regulate the heater based on the second target regulation parameter, so that the thermal environment temperature of the recirculating aquaculture area correspondingly meets the input temperature value.

[0039] Furthermore, the environmental temperature regulation method for the recirculating aquaculture area further includes:

[0040] A particle swarm optimization unit is used to dynamically optimize the expected ideal value of the thermal environment temperature obtained by the fuzzy controller and the actual temperature value of the recirculating aquaculture area collected at the current moment by using a particle swarm optimization model, and output a new optimized regulation quantity corresponding to the feedback control model;

[0041] A second actual regulation quantity determination unit is used to optimize the original regulation quantity in the feedback control model based on the new optimized regulation quantity to obtain a second actual regulation quantity;

[0042] The regulation parameter acquisition unit is further used to input the input temperature value and the output temperature value into a feedback control model corresponding to the second actual regulation quantity to obtain a corresponding third actual regulation parameter;

[0043] The target regulation parameter determination unit is further used to perform corresponding regulation on the thermal environment temperature transfer model based on the third actual regulation parameter to obtain a third output temperature value, and when the third output temperature value is equal to the input temperature value, output a corresponding third target regulation parameter;

[0044] The environmental temperature regulation unit is further used to regulate the heater based on the third target regulation parameter so that the thermal environment temperature of the recirculating aquaculture area correspondingly meets the input temperature value.

[0045] Further, the first actual regulation quantity includes the actual regulation quantity of the proportional regulation coefficient corresponding to the feedback control model, the actual regulation quantity of the integral regulation coefficient, and the actual regulation quantity of the differential regulation coefficient.

[0046] Further, the second actual regulation quantity includes the actual regulation quantity of the proportional regulation coefficient corresponding to the feedback control model, the actual regulation quantity of the integral regulation coefficient, and the actual regulation quantity of the differential regulation coefficient obtained after processing by the particle swarm optimization model.

[0047] Further, the thermal environment temperature transfer model is a thermal environment transfer function model obtained based on preset thermodynamic principles and mass - energy balance principles and used to represent the influence of environmental factors in the recirculating aquaculture area.

[0048] Further, the first output temperature value is the actual temperature value of the recirculating aquaculture area collected currently.

[0049] The present invention also provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the steps of the method for the environmental temperature of the recirculating aquaculture area as described in any one of the above are implemented.

[0050] The present invention also provides a processor-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for the environmental temperature of a recirculating aquaculture area as described in any one of the above are implemented.

[0051] For the method for the environmental temperature of a recirculating aquaculture area provided by the present invention, a heat environment temperature transfer model corresponding to the recirculating aquaculture area is determined, and a first output temperature value is obtained based on the heat environment temperature transfer model; then the input temperature value and the output temperature value of the user end are input into a feedback control model to obtain a regulation parameter output by the feedback control model, and the heat environment temperature transfer model is regulated accordingly based on the regulation parameter to obtain a new output temperature value. Until the new output temperature value is equal to the input temperature value, the corresponding target regulation parameter is output; finally, the heater in the recirculating aquaculture area is regulated based on the target regulation parameter, so that the heat environment temperature of the recirculating aquaculture area correspondingly meets the input temperature value. It can effectively reduce the workload of aquaculture workers, improve work efficiency, and at the same time effectively avoid losses and risks to the aquaculture industry in extreme or abnormal breeding environments, and improve the accuracy and stability of the environmental temperature regulation in the recirculating aquaculture area. Description of the Drawings

[0052] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0053] Figure 1 is one of the flow schematic diagrams of the method for the environmental temperature of a recirculating aquaculture area provided by an embodiment of the present invention;

[0054] Figure 2 is a schematic diagram of a recirculating aquaculture area provided by an embodiment of the present invention;

[0055] Figure 3 is a schematic diagram of the control principle based on the feedback control model in the method for the environmental temperature of a recirculating aquaculture area provided by an embodiment of the present invention;

[0056] Figure 4 is a schematic diagram of the principle of optimizing fuzzy control by using a particle swarm algorithm in the method for the environmental temperature of a recirculating aquaculture area provided by an embodiment of the present invention;

[0057] Figure 5 is a complete schematic diagram corresponding to the method for the environmental temperature of a recirculating aquaculture area provided by an embodiment of the present invention;

[0058] Figure 6It is a schematic structural diagram of the environmental temperature device in the circulating water aquaculture area provided by an embodiment of the present invention;

[0059] Figure 7 It is a schematic physical structure diagram of an electronic device provided by an embodiment of the present invention. Detailed implementation manners

[0060] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0061] Based on the method for the environmental temperature in the circulating water aquaculture area described in the present invention, its embodiments will be described in detail below. As Figure 1 shown, it is a schematic flowchart of the method for the environmental temperature in the circulating water aquaculture area provided by an embodiment of the present invention, and the specific implementation process includes the following steps:

[0062] Step 101: Determine the heat environment temperature transfer model corresponding to the circulating water aquaculture area.

[0063] In the embodiment of the present invention, first, a heat environment transfer function model for representing the influence of environmental factors on the circulating water aquaculture area (i.e., the juvenile and young fish circulating water aquaculture pond) can be established based on the principles of thermodynamics and mass-energy balance, so as to realize the modeling of the heat environment and water environment of the juvenile and young fish circulating water aquaculture pond. This heat environment transfer function model is a mathematical model of the juvenile and young fish circulating water aquaculture pond and can be a SISIO (signal input signal output) model.

[0064] Specifically, in the modeling process, it is necessary to determine that the density of the water body in the fish pond remains unchanged, the specific heat capacity of the water body in the fish pond remains unchanged, the water level of the fish pond remains unchanged, the cross-sectional area of the fish pond remains unchanged, the inlet water temperature of the fish pond remains unchanged, and the workshop environmental temperature remains unchanged; the factors affecting the temperature change in the circulating water aquaculture area include the heat input by the circulating water flowing in, the heat output by the circulating water flowing out, the heat input by the heat exchanger, and the heat exchange between the external environment and the fish pond.

[0065] As Figure 2 shown, according to the principle of mass-energy balance, the heat environment temperature transfer model corresponding to the juvenile and young fish circulating water aquaculture pond is as follows:

[0066]

[0067] Among them, S is the bottom area of the juvenile and young fish circulating water aquaculture pond, with the unit of m 2; h is the height of the water body in the recirculating aquaculture pond, unit: m; ρ is the water density, 1000 kg / m 3 ; c p is the specific heat capacity of the water body, 4.18 kJ / (kg·°C); F is the mass flow rate, unit: kg / s; T t is the water temperature, unit: °C; T i is the inlet water temperature, unit: °C; Q e is the heat input from the outside, unit: W; Q loss is the heat dissipated to the outside, unit: W; t represents the current moment.

[0068] By transforming and arranging formula (2-1), we can get

[0069]

[0070] Under the stable operation state, T t remains unchanged, so:

[0071]

[0072] Fc p T i +Q - Fc p T t = 0 Formula (2-4)

[0073] Among them, Q = Q e -Q loss , which is used to represent the net heat input from the outside.

[0074] Using the incremental form, we can get:

[0075]

[0076] Among them, T t0 represents the water temperature value at the initial moment; ΔT t is the water temperature increment; T t is the current water temperature.

[0077] Under the stable state, T i remains unchanged. After performing the Laplace transform, we can get:

[0078]

[0079] Therefore, the heat environment transfer function model (i.e., the heat environment temperature transfer model) of this juvenile fish recirculating aquaculture pond is:

[0080]

[0081] Heat enters the water and causes a change in water temperature after passing through the transportation of the water inlet pipe and the full mixing process of the water body inside the fish pond. This period is called the transfer lag of the thermal environment - water environment in the fry and juvenile fish recirculating aquaculture pond. Therefore, the thermal environment temperature transfer model obtained from the modeling of the thermal environment - water environment in the fry and juvenile fish recirculating aquaculture pond should include a delay factor. Specifically, let the lag time of the fry and juvenile fish recirculating aquaculture pond be τ1, and the above formula can be written as:

[0082]

[0083] Precisely controlling the water temperature based on the thermal environment transfer function model is the key to reducing breeding risks and improving the survival rate of fry and juvenile fish. The transfer function model established in the present invention uses MatlabR2019a to design the corresponding control strategy algorithm model for the design and optimization of the control strategy.

[0084] Step 102: Obtain the corresponding first output temperature value based on the thermal environment temperature transfer model.

[0085] As Figure 3 shown, in the specific implementation process, the thermal environment temperature transfer model constructed in step 101 can be used as the controlled object, and the current actual first output temperature value output by the controlled object can be obtained. The first output temperature value is the actual temperature value currently collected in the recirculating aquaculture area.

[0086] Step 103: Input the input temperature value of the user terminal and the output temperature value into a preset feedback control model to obtain the regulation parameter output by the feedback control model; the input temperature value is the expected ideal value of the thermal environment temperature corresponding to the recirculating aquaculture area.

[0087] In the embodiment of the present invention, the feedback control model is a feedback control algorithm model operating in PID (Proportion Integration Differentiation, proportional - integral - derivative controller). As Figure 3 shown, the temperature error E calculated from the input temperature value of the user terminal and the first output temperature value is input into the PID controller for feedback adjustment, and this process is repeated until the first output temperature value is equal to or greater than the input temperature value, at which point the closed - loop control system stops. Assume that at a certain moment t, the input quantity (input temperature value) is r in (t), and the output quantity (first output temperature value) is r out (t). After calculation, the deviation is obtained as err(t) = r in (t) - r out (t). Therefore, the basic feedback control algorithm model of PID can be expressed as:

[0088]

[0089] In the formula, K p is the proportional adjustment coefficient; is the integral adjustment coefficient; K p ·T D is the differential adjustment coefficient; T i is the integral time; T D is the differential time.

[0090] Step 104: Based on the regulation parameters, perform corresponding regulation on the thermal environment temperature transfer model to obtain a new output temperature value. When the new output temperature value is equal to the input temperature value, output the corresponding target regulation parameters.

[0091] Specifically, obtain the corresponding regulation parameters output by the feedback control model based on the input temperature value and the output temperature value. Based on these regulation parameters, perform corresponding regulation on the thermal environment temperature transfer model to obtain a new output temperature value. When the new output temperature value is equal to or greater than the input temperature value, output the target regulation parameters for the object to be regulated.

[0092] Step 105: Based on the target regulation parameters, regulate the heater in the recirculating aquaculture area so that the thermal environment temperature of the recirculating aquaculture area correspondingly meets the input temperature value.

[0093] Furthermore, based on a preset fuzzy controller, obtain the expected ideal value of the thermal environment temperature and the actual temperature value of the recirculating aquaculture area collected at the current moment, and based on the expected ideal value of the thermal environment temperature, the actual temperature value of the recirculating aquaculture area collected at the current moment, and the preset fuzzy control inference rules, output the optimized regulation quantity corresponding to the feedback control model; the optimized regulation quantity is the optimized operation parameter quantity obtained through fuzzy control processing; based on the optimized regulation quantity, perform optimization processing on the original regulation quantity in the feedback control model to obtain the first actual regulation quantity; input the input temperature value and the output temperature value into the feedback control model corresponding to the first actual regulation quantity to obtain the corresponding second actual regulation parameters; based on the second actual regulation parameters, perform corresponding regulation on the thermal environment temperature transfer model to obtain the second output temperature value. When the second output temperature value is equal to the input temperature value, output the corresponding second target regulation parameters; based on the second target regulation parameters, regulate the heater so that the thermal environment temperature of the recirculating aquaculture area correspondingly meets the input temperature value. The first actual regulation quantity includes the actual regulation quantity of the proportional adjustment coefficient corresponding to the feedback control model, the actual regulation quantity of the integral adjustment coefficient, and the actual regulation quantity of the differential adjustment coefficient.

[0094] Specifically, such as Figure 4As shown, the input of the fuzzy controller in the present invention is the water temperature error value E between the expected ideal value of the water temperature (i.e., the expected ideal value of the thermal environment temperature) and the actual collected value at the current moment (i.e., the actual temperature value of the circulating water aquaculture area collected at the current moment), that is Figure 4 the e in Figure 4 and the change rate EC of the water temperature error value between the current moment and the previous moment (i.e., the e c in Figure 5 ). According to the actual change range of the water temperature variable, the size of the domain of the water temperature fuzzy control is determined. Then, the domain is evenly divided into different intervals centered on 0, and E and EC are divided into different fuzzy subsets through the membership function to complete the fuzzification operation. Among them, the actual collected value at the current moment can be obtained through the water temperature sensor preset in the aquaculture pond, and the expected ideal value of the water temperature can be input through the control interface of the user terminal (such as the monitoring platform in

[0095] . The process of fuzzification is to determine the degree of correlation between an element (such as E or EC) and different domain subsets. If it is relevant, it is judged as 1; if it is not relevant, it is judged as 0; if it is partially relevant, it is judged as or . Finally, the membership degree is determined according to the numerical value of the degree of correlation. In the specific implementation process of the present invention, the membership degrees of the error E and the error change rate EC can be determined by using the trapezoidal membership function. The specific formula is as shown:

[0096]

[0097] After determining the membership degree values, the temperature error E and the temperature error change rate EC are input into the preset fuzzy rule table. Through the fuzzy inference principle, the corresponding output sets of different parameters at different moments are deduced, and the membership degree values of different output quantities in the output set are obtained according to the given size of the output domain (such as a≤x≤d) and the division intervals (such as a≤x<b, b≤x<c, c≤x≤d). This fuzzy rule table contains fuzzy control inference rules.

[0098] In the fuzzy rule table, E represents the parameter error (or temperature error), which represents the error between the actual collected value at the current moment after the adjustment control in real-time collection and the expected ideal value of the water temperature in the present invention; EC represents the parameter error change rate (or temperature error change rate), which represents the magnitude of the change in the water temperature error value between the current moment and the previous moment in the present invention; U represents the output quantity, which represents the set of fuzzy control inference rules of the PID parameters in the present invention. Different temperature parameters are designed with corresponding different fuzzy control inference rules for operation. In the present invention, the output quantity U corresponds to the three parameter quantities (ΔK p , ΔK i , ΔK d) However, this output quantity is not an accurate output value that can be recognized by the system. It is only an intermediate quantity during the operation of the fuzzy controller. Therefore, further operations are required to achieve the output of the fuzzy controller, and this operation is called defuzzification. The defuzzification process is opposite to the fuzzification process. The fuzzification process is to judge the correlation degree between the element value and the universe of discourse, and based on this, determine the membership degree of the element value. Similarly, defuzzification also determines the correlation degree between the universe of discourse and a certain value through a certain logical rule, and based on this correlation degree, determines a certain value to replace the output quantity in the fuzzy set inferred by fuzzy reasoning. In the present invention, the centroid method is selected for processing, and the optimized regulation quantity is calculated:

[0099]

[0100] Wherein, x i represents the abscissa of the i-th point, and μ i represents the weight of the i-th point to the centroid; the calculated u * can be ΔK p 、ΔK i 、ΔK d ; m represents the number of elements in the universe of discourse.

[0101] Finally, the reasonable optimized regulation quantity is added to the original regulation quantities (k p 、k i 、k d ) in the PID control to obtain the actual three operating parameters K p ,K i and K d That is:

[0102]

[0103] During the implementation process, first, the algorithm model in the PID is debugged to determine its appropriate value, and then the fuzzy algorithm model in the fuzzy controller is run. The output quantity of the fuzzy algorithm model is used to correct and adjust the parameters of the algorithm model in the PID. Finally, the output of the controller is achieved to accurately regulate the thermal environment of the fish pond.

[0104] Further, a particle swarm optimization model is used to dynamically optimize the expected ideal value of the thermal environment temperature obtained by the fuzzy controller and the actual temperature value of the recirculating aquaculture area collected at the current moment, and a new optimized regulation quantity corresponding to the feedback control model is output; based on the new optimized regulation quantity, the original regulation quantity in the feedback control model is optimized to obtain a second actual regulation quantity; the input temperature value and the output temperature value are input into the feedback control model corresponding to the second actual regulation quantity to obtain a corresponding third actual regulation parameter; based on the third actual regulation parameter, the thermal environment temperature transfer model is regulated accordingly to obtain a third output temperature value. When the third output temperature value is equal to the input temperature value, a corresponding third target regulation parameter is output; based on the third target regulation parameter, the heater is regulated so that the thermal environment temperature of the recirculating aquaculture area correspondingly meets the input temperature value. The second actual regulation quantity includes the proportional regulation coefficient actual regulation quantity, the integral regulation coefficient actual regulation quantity, and the differential regulation coefficient actual regulation quantity corresponding to the feedback control model obtained after being processed by the particle swarm optimization model.

[0105] As Figure 4 shown, in the specific implementation process, the processing strategy of the fuzzy controller can also be optimized by a particle swarm optimization model. Specifically, there are mainly three steps in the optimization process of the particle swarm algorithm: Initialization: At the beginning of the algorithm operation, each particle is initialized by information such as the maximum number of iterations, the number of independent variables of the objective function, the maximum speed of the particle, and the particle swarm size set by us, and velocity and position information are assigned. Individual extreme value and global optimal solution: According to the defined fitness function, the individual extreme value obtained by each particle is used as the local optimal solution, and a global value is found from all individual extreme values as the current global optimal solution. Update velocity and position: According to the algorithm formula principle and parameter settings, the velocity and position of the particle are iteratively updated to find extreme values and optimal solutions again. The principle formula for updating velocity and position in the particle swarm algorithm is as follows:

[0106] v i = ω × v i + c1 × rand() × (pebest i - x i ) + c2 × rand() × (gbest i - x i ) (2 - 13)

[0107] In the formula, ω is called the inertia weight or inertia factor. When its value is larger, the global optimization ability is stronger and the local optimization ability is weaker. When its value is smaller, the global optimization ability is weaker and the local optimization ability is stronger; v iis the velocity of particle movement; i = 1, 2, 3, ……, N, where N is the total number of the current particle swarm; rand() is a random number between (0, 1); x i is the current position of the particle, i.e., the element; c1 and c2 are the learning factors of the particle swarm; dynamic ω can often obtain better optimization results than a fixed value, and the more commonly used strategy is the Linearly Decreasing Weight (LDW) strategy; pbest i represents the current best position of the particle individual.

[0108] ω (t) =(ω in -ω end )(G k -g) / G k +ω end Equation (2 - 14)

[0109] In the formula, G k is the maximum number of iterations; ω in is the initial inertia weight; ω end is the inertia weight when iterating to the maximum number of evolution generations; g represents the current number of iterations.

[0110] In addition, it is also necessary to define the fitness function. The ITAE index (i.e., the preset index threshold) is an index with good practicability and selectivity, which can comprehensively evaluate the dynamic and static performance of control and is widely used in current engineering problems. Using the ITAE index in the present invention can ensure the fast response, overshoot, settling time, and steady-state error of the system, etc. ITAE is a performance index of the integral of time multiplied by the absolute value of the error, and the expression is:

[0111]

[0112] where e represents the error generated during the temperature control process; t represents time.

[0113] The particle swarm optimization algorithm is a type of uncertain algorithm. In the actual production and control process, due to the complex and changeable real environment and some uncertain factors, it is difficult to obtain an accurate mathematical model. In this case, it is more appropriate to use an uncertain algorithm such as the particle swarm algorithm to optimize the controller design.

[0114] In a specific application scenario, the overall structure is as Figure 4As shown, the remote control process can be implemented based on LabVIEW. Specifically, on the hardware side, Internet of Things devices and data terminal devices (mainly water temperature sensors and heaters in the present invention) are deployed inside the aquaculture workshop to achieve data transmission. Through the combination of software and hardware, a platform is built, and the above-mentioned regulation method is run to realize the optimal regulation of the thermal environment - water environment of the fry and juvenile fish recirculating aquaculture pond.

[0115] For the method for the environmental temperature of the recirculating aquaculture area described in the embodiment of the present invention, by determining the thermal environment temperature transfer model corresponding to the recirculating aquaculture area, and obtaining the first output temperature value based on the thermal environment temperature transfer model; then inputting the input temperature value and the output temperature value of the user terminal into the feedback control model to obtain the regulation parameters output by the feedback control model, and performing corresponding regulation on the thermal environment temperature transfer model based on the regulation parameters to obtain a new output temperature value, until the new output temperature value is equal to the input temperature value, outputting the corresponding target regulation parameters; finally, regulating the heater in the recirculating aquaculture area based on the target regulation parameters, so that the thermal environment temperature of the recirculating aquaculture area correspondingly meets the input temperature value. It can effectively reduce the workload of aquaculture staff, improve work efficiency, and at the same time effectively avoid losses and risks brought to the aquaculture industry in extreme or abnormal aquaculture environments, and improve the accuracy and stability of the environmental temperature regulation in the recirculating aquaculture area.

[0116] Corresponding to the method for the environmental temperature of the recirculating aquaculture area provided above, the present invention also provides a device for the environmental temperature of the recirculating aquaculture area. Since the embodiments of this device are similar to the method embodiments above, the description is relatively simple. For the relevant parts, please refer to the description in the method embodiment part above. The following description of the embodiments of the device for the environmental temperature of the recirculating aquaculture area is only illustrative. Please refer to Figure 6 As shown, it is a schematic structural diagram of a device for the environmental temperature of the recirculating aquaculture area provided by the embodiment of the present invention.

[0117] The device for the environmental temperature of the recirculating aquaculture area described in the present invention specifically includes:

[0118] A temperature transfer model determination unit 601, configured to determine the thermal environment temperature transfer model corresponding to the recirculating aquaculture area;

[0119] A temperature value obtaining unit 602, configured to obtain the corresponding first output temperature value based on the thermal environment temperature transfer model;

[0120] A regulation parameter obtaining unit 603, configured to input the input temperature value of the user terminal and the output temperature value into a preset feedback control model to obtain the regulation parameters output by the feedback control model; wherein, the input temperature value is the expected ideal value of the thermal environment temperature corresponding to the recirculating aquaculture area;

[0121] A target regulation parameter determination unit 604, configured to perform corresponding regulation on the thermal environment temperature transfer model based on the regulation parameter to obtain a new output temperature value, and output a corresponding target regulation parameter until the new output temperature value is equal to the input temperature value;

[0122] An environmental temperature regulation unit 605, configured to regulate a heater in the recirculating aquaculture area based on the target regulation parameter, so that the thermal environment temperature of the recirculating aquaculture area correspondingly meets the input temperature value.

[0123] Furthermore, the environmental temperature regulation device for the recirculating aquaculture area further includes:

[0124] A fuzzy control optimization unit, configured to obtain the expected ideal value of the thermal environment temperature and the actual temperature value of the recirculating aquaculture area collected at the current moment based on a preset fuzzy controller, and output an optimized regulation amount corresponding to the feedback control model based on the expected ideal value of the thermal environment temperature, the actual temperature value of the recirculating aquaculture area collected at the current moment, and a preset fuzzy control inference rule; the optimized regulation amount is an optimized operation parameter quantity obtained through fuzzy control processing;

[0125] A first actual regulation amount determination unit, configured to perform optimization processing on the original regulation amount in the feedback control model based on the optimized regulation amount to obtain a first actual regulation amount;

[0126] The regulation parameter acquisition unit is further configured to input the input temperature value and the output temperature value into a feedback control model corresponding to the first actual regulation amount to obtain a corresponding second actual regulation parameter;

[0127] The target regulation parameter determination unit is further configured to perform corresponding regulation on the thermal environment temperature transfer model based on the second actual regulation parameter to obtain a second output temperature value, and output a corresponding second target regulation parameter until the second output temperature value is equal to the input temperature value;

[0128] The environmental temperature regulation unit is further configured to regulate the heater based on the second target regulation parameter, so that the thermal environment temperature of the recirculating aquaculture area correspondingly meets the input temperature value.

[0129] Furthermore, the environmental temperature regulation method for the recirculating aquaculture area further includes:

[0130] A particle swarm optimization unit, configured to perform dynamic optimization on the expected ideal value of the thermal environment temperature and the actual temperature value of the recirculating aquaculture area collected at the current moment obtained by the fuzzy controller by using a particle swarm optimization model, and output a new optimized regulation amount corresponding to the feedback control model;

[0131] A second actual regulation quantity determination unit, configured to perform an optimization process on the original regulation quantity in the feedback control model based on the new optimized regulation quantity to obtain a second actual regulation quantity;

[0132] The regulation parameter obtaining unit is further configured to input the input temperature value and the output temperature value into a feedback control model corresponding to the second actual regulation quantity to obtain a corresponding third actual regulation parameter;

[0133] The target regulation parameter determination unit is further configured to perform corresponding regulation on the thermal environment temperature transfer model based on the third actual regulation parameter to obtain a third output temperature value, and output a corresponding third target regulation parameter until the third output temperature value is equal to the input temperature value;

[0134] The environmental temperature regulation unit is further configured to regulate the heater based on the third target regulation parameter so that the thermal environment temperature of the recirculating aquaculture area correspondingly meets the input temperature value.

[0135] Further, the first actual regulation quantity includes a proportional regulation coefficient actual regulation quantity, an integral regulation coefficient actual regulation quantity, and a differential regulation coefficient actual regulation quantity corresponding to the feedback control model.

[0136] Further, the second actual regulation quantity includes a proportional regulation coefficient actual regulation quantity, an integral regulation coefficient actual regulation quantity, and a differential regulation coefficient actual regulation quantity corresponding to the feedback control model obtained after being processed by the particle swarm optimization model.

[0137] Further, the thermal environment temperature transfer model is a thermal environment transfer function model based on preset thermodynamic principles and mass-energy balance principles, and is used to represent the influence of environmental factors in the recirculating aquaculture area.

[0138] Further, the first output temperature value is the actual temperature value of the currently collected recirculating aquaculture area.

[0139] The environmental temperature device for a recirculating aquaculture area according to an embodiment of the present invention determines a heat environmental temperature transfer model corresponding to the recirculating aquaculture area, and obtains a first output temperature value based on the heat environmental temperature transfer model; then inputs the input temperature value and the output temperature value of the user terminal into a feedback control model to obtain a regulation parameter output by the feedback control model, and performs corresponding regulation on the heat environmental temperature transfer model based on the regulation parameter to obtain a new output temperature value. Until the new output temperature value is equal to the input temperature value, the corresponding target regulation parameter is output; finally, the heater in the recirculating aquaculture area is regulated based on the target regulation parameter, so that the heat environmental temperature of the recirculating aquaculture area correspondingly meets the input temperature value. It can effectively reduce the workload of aquaculture workers, improve work efficiency, and at the same time effectively avoid losses and risks brought to the aquaculture industry in extreme or abnormal breeding environments, and improve the accuracy and stability of environmental temperature regulation in the recirculating aquaculture area.

[0140] Corresponding to the above-provided method for the environmental temperature of a recirculating aquaculture area, the present invention also provides an electronic device. Since the embodiments of this electronic device are similar to the above method embodiments, the description is relatively simple. For related parts, please refer to the description in the above method embodiment section. The electronic device described below is only illustrative. As Figure 7 shown, it is a schematic diagram of the physical structure of an electronic device disclosed in an embodiment of the present invention. The electronic device may include: a processor 701, a memory 702, and a communication bus 703. Among them, the processor 701 and the memory 702 communicate with each other through the communication bus 703 and communicate with the outside through a communication interface 704. The processor 701 can call logical instructions in the memory 702 to execute the method for the environmental temperature of a recirculating aquaculture area, and the method includes: determining a heat environmental temperature transfer model corresponding to the recirculating aquaculture area; obtaining a corresponding first output temperature value based on the heat environmental temperature transfer model; inputting the input temperature value of the user terminal and the output temperature value into a preset feedback control model to obtain a regulation parameter output by the feedback control model; where the input temperature value is the expected ideal value of the heat environmental temperature corresponding to the recirculating aquaculture area; performing corresponding regulation on the heat environmental temperature transfer model based on the regulation parameter to obtain a new output temperature value, until the new output temperature value is equal to the input temperature value, outputting the corresponding target regulation parameter; regulating the heater in the recirculating aquaculture area based on the target regulation parameter, so that the heat environmental temperature of the recirculating aquaculture area correspondingly meets the input temperature value.

[0141] In addition, when the logical instructions in the above-mentioned memory 702 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: storage chips, USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs, etc., all kinds of media that can store program codes.

[0142] On the other hand, an embodiment of the present invention further provides a computer program product. The computer program product includes a computer program stored on a processor-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the circulating water aquaculture area environmental temperature method provided in each of the above method embodiments. The method includes: determining a heat environment temperature transfer model corresponding to the circulating water aquaculture area; obtaining a corresponding first output temperature value based on the heat environment temperature transfer model; inputting the input temperature value of the user terminal and the output temperature value into a preset feedback control model to obtain a regulation parameter output by the feedback control model; where the input temperature value is the expected ideal value of the heat environment temperature corresponding to the circulating water aquaculture area; regulating the heat environment temperature transfer model according to the regulation parameter to obtain a new output temperature value until the new output temperature value is equal to the input temperature value, and then outputting a corresponding target regulation parameter; regulating a heater in the circulating water aquaculture area based on the target regulation parameter so that the heat environment temperature of the circulating water aquaculture area correspondingly meets the input temperature value.

[0143] In another aspect, an embodiment of the present invention further provides a processor-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is configured to execute the method for the environmental temperature of the recirculating aquaculture area provided in each of the above embodiments. The method includes: determining a heat environment temperature transfer model corresponding to the recirculating aquaculture area; obtaining a corresponding first output temperature value based on the heat environment temperature transfer model; inputting the input temperature value of the user terminal and the output temperature value into a preset feedback control model to obtain a regulation parameter output by the feedback control model; wherein, the input temperature value is the expected ideal value of the heat environment temperature corresponding to the recirculating aquaculture area; performing corresponding regulation on the heat environment temperature transfer model based on the regulation parameter to obtain a new output temperature value, and until the new output temperature value is equal to the input temperature value, outputting a corresponding target regulation parameter; regulating a heater in the recirculating aquaculture area based on the target regulation parameter so that the heat environment temperature of the recirculating aquaculture area correspondingly meets the input temperature value.

[0144] The processor-readable storage medium may be any available medium or data storage device accessible by the processor, including but not limited to magnetic memories (such as floppy disks, hard disks, magnetic tapes, magneto-optical disks (MO), etc.), optical memories (such as CDs, DVDs, BDs, HVDs, etc.), and semiconductor memories (such as ROM, EPROM, EEPROM, non-volatile memories (NANDFLASH), solid-state drives (SSD)).

[0145] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative effort.

[0146] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disks, optical disks, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0147] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for regulating the environmental temperature in a recirculating aquaculture area, characterized in that, Including: Determine the heat environment temperature transfer model corresponding to the recirculating aquaculture area; Obtain the corresponding first output temperature value based on the heat environment temperature transfer model; Input the input temperature value of the user side and the output temperature value into a preset feedback control model to obtain the regulation parameter output by the feedback control model; wherein, the input temperature value is the expected ideal value of the heat environment temperature corresponding to the recirculating aquaculture area; Perform corresponding regulation on the heat environment temperature transfer model based on the regulation parameter to obtain a new output temperature value. Until the new output temperature value is equal to the input temperature value, output the corresponding target regulation parameter; Regulate the heater in the recirculating aquaculture area based on the target regulation parameter so that the heat environment temperature of the recirculating aquaculture area correspondingly meets the input temperature value; The heat environment temperature transfer model is: ； Among them, is the bottom area of the circulating water culture pond for juvenile fish, with the unit of m 2 ; is the water body height in the circulating water culture pond, with the unit of m; is the water body density, 1000 kg / m 3 ; is the specific heat capacity of the water body, 4.18 kJ / (kg×℃); F is the mass flow rate, with the unit of kg / s; is the water body temperature ， with the unit of ℃; is the inlet water temperature, with the unit of ℃; is the heat input from the outside, with the unit of W; is the heat dissipated to the outside, with the unit of W; t represents the current time; , used to represent the net heat input from the outside; represents the water body temperature value at the initial time; is the water body temperature increment; is the current water body temperature; The feedback control model is the feedback control algorithm model running in the proportional-integral-differential controller PID, and the feedback control algorithm model is expressed as: ； Wherein, is the proportional adjustment coefficient; is the integral adjustment coefficient; is the differential adjustment coefficient; is the integral time; is the differential time; t is the moment; is the input quantity, i.e., the input temperature value; is the output quantity, i.e., the first output temperature value; is the deviation, .

2. The environmental temperature regulation method for the circulating water aquaculture area according to claim 1, characterized in that, Also including: Obtain the expected ideal value of the heat environment temperature and the actual temperature value of the recirculating aquaculture area collected at the current moment based on a preset fuzzy controller, and output the optimized regulation quantity corresponding to the feedback control model based on the expected ideal value of the heat environment temperature, the actual temperature value of the recirculating aquaculture area collected at the current moment, and the preset fuzzy control inference rule; The optimized regulation quantity is the optimized operation parameter quantity obtained through fuzzy control processing; Perform optimization processing on the original regulation quantity in the feedback control model based on the optimized regulation quantity to obtain the first actual regulation quantity; Input the input temperature value and the output temperature value into the feedback control model corresponding to the first actual regulation quantity to obtain the corresponding second actual regulation parameter; Perform corresponding regulation on the heat environment temperature transfer model based on the second actual regulation parameter to obtain a second output temperature value. Until the second output temperature value is equal to the input temperature value, output the corresponding second target regulation parameter; Regulate the heater based on the second target regulation parameter so that the heat environment temperature of the recirculating aquaculture area correspondingly meets the input temperature value.

3. The method for regulating the environmental temperature of a recirculating aquaculture area according to claim 2, wherein Also including: Dynamically optimize the expected ideal value of the heat environment temperature obtained by the fuzzy controller and the actual temperature value of the recirculating aquaculture area collected at the current moment by using the particle swarm optimization model, and output the new optimized regulation quantity corresponding to the feedback control model; Perform optimization processing on the original regulation quantity in the feedback control model based on the new optimized regulation quantity to obtain the second actual regulation quantity; Input the input temperature value and the output temperature value into the feedback control model corresponding to the second actual regulation quantity to obtain the corresponding third actual regulation parameter; Perform corresponding regulation on the heat environment temperature transfer model based on the third actual regulation parameter to obtain a third output temperature value. Until the third output temperature value is equal to the input temperature value, output the corresponding third target regulation parameter; Based on the third target regulation parameter, regulate the heater so that the thermal environment temperature of the recirculating aquaculture area correspondingly meets the input temperature value.

4. The environmental temperature control method for the circulating water aquaculture area according to claim 2, wherein The first actual regulation quantity includes the actual regulation quantity of the proportional regulation coefficient, the actual regulation quantity of the integral regulation coefficient, and the actual regulation quantity of the differential regulation coefficient corresponding to the feedback control model.

5. The method for regulating the environmental temperature of a recirculating aquaculture area according to claim 3, characterized in that, The second actual regulation quantity includes the actual regulation quantity of the proportional regulation coefficient, the actual regulation quantity of the integral regulation coefficient, and the actual regulation quantity of the differential regulation coefficient corresponding to the feedback control model obtained after processing by the particle swarm optimization model.

6. The method for regulating the ambient temperature of a recirculating aquaculture area according to claim 1, wherein The thermal environment temperature transfer model is a thermal environment transfer function model obtained based on preset thermodynamic principles and mass-energy balance principles, which is used to represent the influence of environmental factors in the recirculating aquaculture area.

7. The method for regulating the environmental temperature of a recirculating aquaculture area according to claim 1, characterized in that, The first output temperature value is the actual temperature value of the recirculating aquaculture area currently collected.

8. An environmental temperature control device for a recirculating aquaculture area, characterized in that, Including: A temperature transfer model determination unit for determining the thermal environment temperature transfer model corresponding to the recirculating aquaculture area; A temperature value acquisition unit for obtaining a corresponding first output temperature value based on the thermal environment temperature transfer model; A regulation parameter acquisition unit for inputting the input temperature value of the user terminal and the output temperature value into a preset feedback control model to obtain the regulation parameter output by the feedback control model; wherein, the input temperature value is the expected ideal value of the thermal environment temperature corresponding to the recirculating aquaculture area; A target regulation parameter determination unit for correspondingly regulating the thermal environment temperature transfer model based on the regulation parameter to obtain a new output temperature value, and outputting the corresponding target regulation parameter until the new output temperature value is equal to the input temperature value; An environmental temperature regulation unit for regulating the heater in the recirculating aquaculture area based on the target regulation parameter so that the thermal environment temperature of the recirculating aquaculture area correspondingly meets the input temperature value; The thermal environment temperature transfer model is: ； Among them, is the bottom area of the juvenile fish recirculating aquaculture pond, with the unit of m 2 ; is the water body height in the recirculating aquaculture pond, with the unit of m; is the water body density, 1000 kg / m 3 ; is the specific heat capacity of the water body, 4.18 kJ / (kg×℃); F is the mass flow rate, with the unit of kg / s; is the water body temperature ， with the unit of ℃; is the inlet water temperature, with the unit of ℃; is the heat input from the outside, with the unit of W; is the heat dissipated to the outside, with the unit of W; t represents the current moment; , used to represent the net heat input from the outside; represents the water body temperature value at the initial moment; is the water body temperature increment; is the current water body temperature; The feedback control model is a feedback control algorithm model running in a proportional-integral-differential controller PID, and the basic feedback control algorithm model is expressed as: ； Wherein, is the proportional adjustment coefficient; is the integral adjustment coefficient; is the differential adjustment coefficient; is the integral time; is the differential time; t is the moment; is the input quantity, i.e., the input temperature value; is the output quantity, i.e., the first output temperature value; is the deviation, .

9. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method for the environmental temperature of the recirculating aquaculture area according to any one of claims 1 to 7.

10. A processor-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for the environmental temperature of the recirculating aquaculture area according to any one of claims 1 to 7.

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