A method and system for optimizing artificial habitat cold water supply control strategy

Abstract

This invention discloses a method and system for optimizing the cold water supply control strategy for artificial habitats, relating to the field of coral aquaculture technology. The solution involves iteratively optimizing the cold water supply control strategy using environmental data, temperature prediction models, and preset optimization algorithms. This allows for advanced prediction, simulation, and closed-loop optimization control of seawater temperatures in artificial coral aquaculture areas located in open waters. This improves the accuracy and efficiency of preventing coral bleaching and heat stress, while maximizing energy savings and reducing consumption, and intelligently maintaining optimal coral growth temperatures.

Description

Technical Field

[0001] The present application relates to the field of coral aquaculture technology, and in particular to a method and system for optimizing cold water supply control strategies for artificial habitats. Background Art

[0002] Coral cultivation in artificial habitats is a necessary, urgent and promising intervention to address the global coral reef crisis, protect biodiversity, maintain marine ecosystem functions and services, and safeguard human well-being.

[0003] Artificial coral reef habitats are open, protected areas created by deploying artificial reefs within shallow coral habitats in natural marine environments. Although located in an open ocean environment, these areas significantly reduce water velocity through the flow field. Furthermore, artificial water supply within these areas creates an ideal temperature, flow, and nutrient environment for coral growth and reproduction. Especially during extremely high temperatures in the summer, artificial cooling water is required to alleviate coral heat stress and prevent bleaching.

[0004] Coral aquaculture is typically located far from human habitation, and the system's operation relies entirely on clean energy sources such as solar and wind power. Its energy configuration must simultaneously meet the dual needs of cold storage equipment and water pump circulation. Limited by current technology, cold storage systems face bottlenecks such as high construction costs and limited cold storage capacity. Furthermore, the artificial habitat's coverage is very small compared to areas at risk of coral bleaching. In open ocean environments, even if fish reefs are deployed to reduce ambient water velocities, the ambient water velocity within the habitat remains relatively high during the day's high currents. Supplying cold water at these times will exacerbate water mixing, preventing the long-term and effective application of cold water within the artificial habitat. Peak current velocities and temperatures can occur at different times or simultaneously. Simultaneous peaks in seawater temperature can occur simultaneously with high current velocities. Therefore, given limited cold water resources, achieving efficient and widespread cold water utilization while maintaining economical system operation energy consumption has become a key technical constraint hindering the large-scale deployment of artificial coral reef habitats.

[0005] Current strategies for controlling the supply of cold water to artificial coral reef habitats rely primarily on two traditional methods. One is fixed-time control: the cold water pump is activated according to a preset schedule, regardless of real-time environmental changes. For example, the pump is activated daily from 12:00 PM to 2:00 PM. However, if the actual temperature does not exceed the specified value or the flow rate is high, causing rapid diffusion of cold water, the pump will continue to operate, resulting in energy waste. The other is manual intervention control: managers rely on experience to manually start and stop the cold water pump. For example, on-site temperature measurements are used to start and stop the cold water pump based on experience. This results in a delay in cooling during high-temperature periods, leading to subjective control and the risk of coral bleaching due to operational delays. Summary of the Invention

[0006] The embodiments of this specification provide a method for optimizing the cold water supply control strategy for artificial habitats to address the problems of energy waste or insufficient cooling that occur when using traditional cold water supply control strategies to alleviate coral heat stress and create temperatures suitable for coral growth and reproduction.

[0007] Existing chilled water supply solutions are mainly divided into two types: simple threshold-based triggering and static flow allocation. Simple threshold-based triggering directly activates the chilled water pump for a preset duration when the temperature sensor detects that the local water temperature exceeds the threshold. However, this does not consider the impact of flow rate on the chilled water residence time. At high flow rates, the chilled water may be quickly dispersed, leaving local areas with high temperatures. Static flow allocation operates the chilled water pump at a fixed power level and cannot adjust the flow rate based on the real-time flow rate. This results in ineffective chilled water diffusion during high flow rate periods and excessive chilled water delivery during low flow rate periods.

[0008] To solve the above technical problems, the embodiments of this specification are implemented as follows:

[0009] In a first aspect, embodiments of this specification provide a method for optimizing a cold water supply control strategy for an artificial habitat, comprising:

[0010] Acquiring environmental data of the coral cultivation area; the environmental data at least includes seawater temperature, light intensity, and tidal parameters;

[0011] Inputting the environmental data into a temperature prediction model to obtain first temperature data output by the temperature prediction model; the first temperature data includes temperature data greater than a physiological threshold of the coral;

[0012] obtaining second temperature data based on the first temperature data and a preset cold water supply control strategy; the second temperature data representing the seawater temperature of the coral cultivation area after adjusting the operating parameters of the cold water pump according to the preset cold water supply control strategy; the cold water supply control strategy including multiple operating start times and total operating time of the cold water pump;

[0013] Based on the second temperature data, a preset optimization algorithm is used to update the preset cold water supply control strategy to obtain a target cold water supply control strategy, so as to adjust the seawater temperature of the coral cultivation area under artificial habitat conditions according to the target cold water supply control strategy.

[0014] In a second aspect, an embodiment of this specification provides a system for optimizing a cold water supply control strategy for an artificial habitat, comprising:

[0015] An acquisition module is used to acquire environmental data of the coral cultivation area; the environmental data at least includes seawater temperature, light intensity and tidal parameters;

[0016] A first determination module is configured to input the environmental data into a temperature prediction model to obtain first temperature data output by the temperature prediction model; the first temperature data includes temperature data greater than a physiological threshold of the coral;

[0017] a second determining module configured to obtain second temperature data based on the first temperature data and a preset cold water supply control strategy; the second temperature data representing the seawater temperature of the coral cultivation area after adjusting the operating parameters of the cold water pump according to the preset cold water supply control strategy; the cold water supply control strategy including multiple operating start times and a total operating time of the cold water pump;

[0018] The third determination module is configured to update the preset cold water supply control strategy based on the second temperature data using a preset optimization algorithm to obtain a target cold water supply control strategy, so as to adjust the seawater temperature of the coral cultivation area under the artificial habitat conditions according to the target cold water supply control strategy.

[0019] One embodiment of the present specification achieves the following beneficial effects: through iterative optimization of the cold water supply control strategy through environmental data, temperature prediction models, and preset optimization algorithms, advanced prediction, simulation, and closed-loop optimization control of seawater temperature in artificial coral aquaculture areas in open waters are achieved, thereby improving the prevention accuracy and intervention efficiency of coral bleaching heat stress while maximizing energy conservation and consumption reduction, and intelligently maintaining the optimal growth temperature of corals. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the embodiments of this specification or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments recorded in this application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0021] Figure 1 A schematic diagram of an application scenario of a method for optimizing an artificial habitat cold water supply control strategy provided in an embodiment of this specification;

[0022] Figure 2 A flow chart of a method for optimizing a cold water supply control strategy for an artificial habitat provided in an embodiment of this specification;

[0023] Figure 3 A schematic diagram of another application scenario of a method for optimizing an artificial habitat cold water supply control strategy provided in an embodiment of this specification;

[0024] Figure 4 This is a schematic diagram of the structure of a system for optimizing artificial habitat cold water supply control strategy provided in an embodiment of this specification.

[0025] Description of reference numerals:

[0026] 1. Light collection sensor; 2. Surface temperature sensor; 3. Tidal current collection sensor; 4. Bottom layer temperature sensor; 5. Artificial habitat array temperature sensor. DETAILED DESCRIPTION

[0027] To make the purpose, technical solutions, and advantages of one or more embodiments of this specification more clear, the technical solutions of one or more embodiments of this specification will be clearly and completely described below in conjunction with the specific embodiments of this specification and the corresponding drawings. Obviously, the embodiments described are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments in this specification, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of one or more embodiments of this specification.

[0028] The technical solutions provided by the embodiments of this specification are described in detail below with reference to the accompanying drawings.

[0029] A method for optimizing a cold water supply control strategy for an artificial habitat provided in an embodiment of the specification is described in detail with reference to the accompanying drawings.

[0030] Figure 1 A schematic diagram of an application scenario of a method for optimizing an artificial habitat cold water supply control strategy provided in an embodiment of this specification.

[0031] Various sensors are deployed in the coral cultivation area to collect real-time all-weather environmental data of the coral reef artificial habitat, such as Figure 1 As shown, a surface temperature sensor 2 is set on the surface of the seawater to collect the surface seawater temperature, a bottom temperature sensor 4 is set at the bottom of the seawater to collect the bottom seawater temperature, a light collection sensor 1 is set on the seawater surface to collect light intensity, a tidal collection sensor 3 is set at an appropriate position to collect seawater flow rate and direction, and an artificial habitat array temperature sensor 5 is set around the coral to collect the seawater temperature around the coral.

[0032] Figure 2 This is a flow chart illustrating a method for optimizing an artificial habitat's cold water supply control strategy, as provided in an embodiment of this specification. From a program perspective, the process can be executed by a program or application client running on an application server. From a hardware perspective, the process can be executed by a terminal device, which is not specifically limited in this embodiment.

[0033] like Figure 2 As shown, the process may include the following steps:

[0034] Step 210: Acquire environmental data of the coral cultivation area; the environmental data at least includes seawater temperature, light intensity, and tidal parameters.

[0035] In the embodiments of this specification, a multi-source sensor network is deployed to collect seawater temperature, light intensity, and tidal parameters in real time. Tidal parameters can include flow velocity and direction. For example, surface (e.g., 0-2 meters) and bottom (e.g., 2-5 meters) water temperatures are recorded at regular intervals to form a seawater temperature time series; solar radiation values ​​are collected at regular intervals to form a light intensity time series; and horizontal flow velocity and vertical mixing intensity are measured at regular intervals to form flow velocity and flow direction time series, respectively.

[0036] Step 220: Input the environmental data into a temperature prediction model to obtain first temperature data output by the temperature prediction model; the first temperature data includes temperature data greater than a physiological threshold of the coral.

[0037] In the embodiments of this specification, a temperature prediction model is constructed using a machine learning model, such as an LSTM (Long Short-Term Memory) network. Environmental data collected from a preset historical time period is input into the temperature prediction model to predict the first temperature of the coral cultivation area within a future time period. For example, by collecting environmental data from six hours of history and inputting it into the temperature prediction model, the temperature of the coral cultivation area can be predicted for the next 24 hours.

[0038] The coral physiological threshold is the temperature at which heat stress occurs to corals, and this threshold varies across regions. For example, in Hainan, it can be 30.5°C. When the first temperature data is predicted to be above the coral physiological threshold, cold water injection is triggered. A water supply control strategy is implemented to operate the cold water pump, adjusting the seawater temperature in the artificial habitat area to a temperature range suitable for coral cultivation.

[0039] In practice, historical environmental data is used to train the temperature prediction model to improve its accuracy. The temperature prediction model is optimized using a loss function, such as a mean squared error loss function, to guide model learning.

[0040] The mean absolute error (MAE) is used to quantify the difference between the predicted value and the true value of the temperature prediction model. The historical environmental data are divided into training set, validation set and test set, and the MAE of the predicted temperature is calculated. The calculation formula is:

[0041]

[0042] in, For a certain time t i The actual temperature, For a certain time t iThe accuracy of the temperature prediction model can be verified by MAE.

[0043] Step 230: Obtain second temperature data based on the first temperature data and a preset cold water supply control strategy; the second temperature data represents the seawater temperature in the coral cultivation area after adjusting the cold water pump operating parameters according to the preset cold water supply control strategy; the cold water supply control strategy includes multiple operating start times and total operating time of the cold water pump.

[0044] In the embodiments of this specification, the preset cold water supply control strategy is a randomly generated water supply control strategy. Based on the preset cold water supply control strategy, the operating parameters of the cold water pump can be adjusted in a simulated or real environment to adjust the seawater temperature in the coral cultivation area, thereby obtaining second temperature data for the coral cultivation area. The second temperature data can reflect the changes in seawater temperature in the coral cultivation area under different cold water supply control strategies. A cold water supply control strategy can include multiple operating start times and total operating times for the cold water pump, and the cold water pump can be repeatedly started and stopped.

[0045] Step 240: Based on the second temperature data, a preset optimization algorithm is used to update the preset cold water supply control strategy to obtain a target cold water supply control strategy, so as to adjust the seawater temperature of the coral cultivation area under the artificial habitat conditions according to the target cold water supply control strategy.

[0046] In the embodiments of this specification, a preset optimization algorithm, such as a genetic algorithm, particle swarm optimization algorithm, simulated annealing algorithm, or the like, is used to optimize the chilled water supply control strategy. Based on the results of the optimization algorithm, the chilled water pump's multiple operating times and the operating duration at each time are adjusted to optimize the chilled water supply strategy. Through iterative calculations of the optimization algorithm, a set of chilled water pump operating parameters that optimize heat stress relief and minimize energy consumption is obtained, forming the target chilled water supply control strategy.

[0047] Based on the second temperature data, the process of updating the preset cold water supply control strategy using the preset optimization algorithm is an iterative optimization process. By continuously evaluating and adjusting the strategy plan, the target cold water supply control strategy is finally obtained, which can accurately control the seawater temperature in the coral breeding area under artificial habitat conditions, effectively alleviate the heat stress problem of coral reefs, and provide a suitable temperature environment for coral growth.

[0048] It should be understood that the order of some steps in the methods described in one or more embodiments of this specification can be interchanged according to actual needs, or some steps can be omitted or deleted.

[0049] In the embodiments of this specification, the cold water supply control strategy is iteratively optimized through environmental data, temperature prediction models, and preset optimization algorithms to achieve advanced prediction, simulation, and closed-loop optimization control of the seawater temperature in artificial coral aquaculture areas in open waters. This improves the prevention accuracy and intervention efficiency of coral bleaching heat stress while maximizing energy conservation and consumption reduction, and intelligently maintains the optimal growth temperature for corals.

[0050] based on Figure 2 The method in this specification also provides some specific implementation plans of the method, which are described below.

[0051] Optionally, in the embodiments of this specification, obtaining the second temperature data according to the first temperature data and a preset cold water supply control strategy may specifically include:

[0052] Using gradient boosting regression tree, an artificial habitat water supply model was constructed;

[0053] The first temperature data and the preset cold water supply control strategy are input into the artificial habitat water supply model to obtain the second temperature data output by the artificial habitat water supply model; the artificial habitat water supply model is used to simulate the operation process of the cold water pump.

[0054] In the embodiment of this specification, the operation process of the cold water pump is simulated by inputting the first temperature data and the preset cold water supply control strategy, and the temperature change of the artificial habitat after the cold water pump is running is predicted, that is, the second temperature data. The artificial habitat temperature data after the cold water pump is running simulated by the artificial habitat water supply model is used to evaluate the effect of the cold water supply control strategy. For example, the total volume of the habitat is , average cold water volume of initial habitat , initial average cold water temperature and the average temperature of abnormal water bodies , the start time of the cold water pump , the total running time of the chilled water pump at the corresponding time point , cold water dissipation coefficient and the first temperature data By inputting the artificial habitat water supply model, the average cold water volume of the artificial habitat coral culture area in 1 hour can be obtained. , average cold water temperature and the average temperature of abnormal water bodies within the habitat (Average temperature of the water column that is greater than the physiological threshold of corals).

[0055] The artificial habitat water supply model is trained using a dataset that can include a large amount of historical environmental data, initial temperature data, cold water supply control strategies, and corresponding actual temperature change data. During model training, the parameters of the regression tree are continuously adjusted to minimize the error between the predicted and actual values.

[0056] In practice, a neural network model can be used to predict the second temperature data, or a physical model can be built in the laboratory to operate a cold water pump according to a preset cold water supply control strategy to obtain the second temperature data.

[0057] In order to better achieve energy conservation while maintaining a suitable temperature for coral growth, optionally, in the embodiments of this specification, based on the second temperature data, a preset optimization algorithm is used to update the preset cold water supply control strategy to obtain a target cold water supply control strategy, which may specifically include:

[0058] determining an objective function for evaluating the preset cold water supply control strategy based on the second temperature data;

[0059] Iterating the preset cooling water supply control strategy using a preset optimization algorithm to obtain multiple candidate cooling water supply control strategies;

[0060] Calculating target values ​​of the preset chilled water supply control strategy and each of the candidate chilled water supply control strategies according to the objective function;

[0061] The cooling water supply control strategy corresponding to the minimum target value is used as the target cooling water supply control strategy.

[0062] In the embodiments of this specification, the objective function can evaluate the performance of the cold water supply control strategy, use a preset optimization algorithm to iteratively adjust the preset cold water supply control strategy, generate multiple candidate cold water supply control strategies, calculate the target values ​​of the objective function corresponding to the preset cold water supply control strategy and each candidate cold water supply control strategy, and select the cold water supply control strategy corresponding to the minimum target value as the final optimization result.

[0063] Further, optionally, in the embodiment of this specification, determining the objective function for evaluating the preset cold water supply control strategy based on the second temperature data may specifically include:

[0064] calculating an abnormal heat accumulation amount in the coral cultivation area based on the second temperature data and the coral physiological threshold;

[0065] Calculating the energy consumption of the cold water pump according to the total operating time and the power of the cold water pump;

[0066] An objective function is determined based on the abnormal heat accumulation amount and the energy consumption.

[0067] In the embodiment of this specification, when the actual temperature exceeds the physiological threshold of the coral, the heat accumulation of the excess is calculated to reflect the risk to the health of the coral and avoid long-term high temperature exposure. The calculation formula is:

[0068]

[0069]

[0070] in, is the coral physiological threshold; is the specific heat capacity (constant value); is the total volume of the artificial habitat; t is a period of time; The duration for substituting the predicted temperature output by the temperature prediction model into the artificial habitat water supply model may be 1 hour in the present invention; is the (spatial average) density of water per unit volume. Since parameters such as seawater salinity do not change, the density can be simplified as a linear function of temperature. Since the difference is not large, it can also be simplified as a constant.

[0071] Energy consumption can be used to evaluate the energy efficiency of the chilled water control strategy and minimize energy consumption while meeting temperature requirements.

[0072] In practice, energy consumption is basically determined by the chilled water pump. The calculation formula is:

[0073]

[0074] in, is the power of the cooling water pump per unit time (constant value), is the total operating time of the cooling water pump.

[0075] Taking into account the abnormal heat accumulation and energy consumption, and balancing coral protection and operating costs, the objective function is:

[0076]

[0077] in, and are all weight coefficients.

[0078] Through the objective function, the optimization algorithm can automatically balance temperature control accuracy and energy consumption, and is suitable for scenarios such as coral farming and aquatic temperature control.

[0079] Optionally, in the embodiment of this specification, a preset optimization algorithm is used to iterate the preset cold feed water control strategy. Taking the preset optimization algorithm as a genetic algorithm as an example, the following steps may be specifically included:

[0080] Step 1. Condition setting: Set the number of individuals in the population, the maximum number of evolutionary generations, and the maximum running time. Each individual in the population represents a type of cold water supply control strategy for the coral reef artificial habitat and the values ​​of the cold water supply control strategy parameters (multiple operating start times of the water supply pump and the total operating time).

[0081] Step 2: Coding: Coding the cold water supply control strategy parameters of the coral reef artificial habitat, such as the operation start time and total runtime The code is a binary string. 1 hour is divided into N equal-length periods (e.g., N=60 means 1 minute per period). Each gene bit indicates whether the period is working (0 / 1). The total working time is the number of 1s in the binary string, which must satisfy 0≤total number of 1s≤ ,in, is the total operating time of the cold water pump, which is determined by the volume of the cold storage tank, light intensity and time (energy), and the efficiency of the cold storage equipment. Here it can be 2h, then For any time ≤ 2h, if 1 hour can ensure that there is no temperature abnormality in the artificial habitat, the cold water pump does not need to work for 2h, so The duration is less than or equal to 2 hours; It is the minimum indivisible duration of a unit in the water supply working time.

[0082] Step 3: Generate an initial population: Generate a set of initial solution individuals as the initial population. The number of initial solution individuals meets the requirement of the number of individuals in the population.

[0083] Step 4, fitness calculation: input each individual in the population into the artificial habitat water supply model, and output and return the negative objective function of the artificial habitat water supply model. As individual fitness, and according to the evolutionary generations and running time, determine whether the iteration termination condition is met. If it is met (optimal fitness continuous If there is no significant change in the generation or the maximum number of iterations MaxGen is reached, stop the iteration and go directly to step 4. If it is not satisfied, go to the next step; negative objective function The calculation formula is:

[0084]

[0085] in, The precision is user-defined; MaxGen is the maximum number of iterations that the user defines.

[0086] Step 5, population selection: First, copy the population to obtain the offspring population. The copied population is the parent population. Then, crossover and mutation are performed on the offspring population to obtain the next generation population, while the parent population does not undergo any operation. Then, the parent population and the next generation population are merged. The fitness of all the individuals after the merger is calculated and sorted, and half of the individuals with greater fitness are selected as the new population. Using the roulette wheel selection method, individuals with higher fitness are more likely to be selected.

[0087] Step 6, crossover operator: Set the crossover probability to 0.5-0.8, randomly select two individuals from the individuals with high fitness in the new population as parents, generate a first random number between [0,1], if the first random number is greater than the crossover probability, the two parent individuals are not crossed and are directly put into the offspring; if the first random number is less than or equal to the crossover probability, use the two-point crossover operator and the geometric crossover operator to cross-update the cold water control strategy type and cold water control strategy parameters (multiple operation start times, total operation time) of the two parent individuals respectively; single-point crossover, randomly select parent gene segments to exchange (for example, exchange coding segment).

[0088] Step 7, mutation operator: Set the mutation probability to 0.001-0.01. For each individual, generate a second random number between [0,1]. If the second random number is greater than the mutation probability, no mutation is performed. If the second random number is less than or equal to the mutation probability, the abnormal heat accumulation and energy consumption output and returned by the artificial habitat water supply model are used as the basis. Select a suitable mutation operator (bit reversal mutation, conditional block reversal mutation, etc.) to perform mutation, obtain the next generation population, and return to step 4.

[0089] In order to improve the prediction effect of the temperature prediction model, optionally, before inputting the environmental data into the temperature prediction model in the embodiments of this specification, the method may include:

[0090] Preprocessing the environmental data;

[0091] Based on the pre-processed environmental data, a multidimensional dataset including the seawater temperature, the light intensity and the tidal current parameters is constructed.

[0092] In the embodiments of this specification, preprocessing may include data cleaning, standardization, time series alignment and fusion, etc., to eliminate noise, fill missing values ​​and unify data formats.

[0093] Data cleaning: Identify and correct data that significantly deviates from the normal range (such as extreme values ​​caused by sensor failure), and use box plots to identify and eliminate sensor noise data.

[0094] For missing environmental data (such as light intensity not recorded in a certain period of time), interpolation (linear / spline interpolation), mean filling or time series-based prediction can be used to fill in the missing data.

[0095] Standardization processing: unify the data formats of different sensors and normalize data of different dimensions to the range of [0,1] to avoid the impact of dimensional differences on model convergence.

[0096] Time series alignment and fusion: The sampling time intervals of data with different frequencies are unified through interpolation to construct a multidimensional dataset. The multidimensional dataset can comprehensively reflect the impact of environmental factors on seawater temperature and provide high-quality input for the temperature prediction model.

[0097] Figure 3 This is a schematic diagram of another application scenario of a method for optimizing an artificial habitat cold water supply control strategy provided in an embodiment of this specification.

[0098] like Figure 3 As shown, step 310: artificial habitat water supply model, inputting the preset cold water supply control strategy into the artificial habitat water supply model;

[0099] Step 320: Second temperature data, adjusting the operating parameters of the cold water pump according to the preset cold water supply control strategy to obtain the seawater temperature of the coral cultivation area (second temperature data);

[0100] Step 330: Abnormal heat accumulation: Calculate the abnormal heat accumulation in the coral cultivation area based on the second temperature data and the coral physiological threshold;

[0101] Step 340: determining an objective function based on the abnormal heat accumulation and energy consumption;

[0102] Step 350: Preset an optimization algorithm, use the preset optimization algorithm to update the cold water supply control strategy, iterate the optimization, and obtain multiple candidate cold water supply control strategies. Each cold water supply control strategy is input into the artificial habitat water supply model;

[0103] Step 360: The target cold water supply control strategy converges or reaches the maximum number of iterations. The target values ​​of all water supply control strategies are calculated according to the objective function. The cold water supply control strategy corresponding to the minimum target value is used as the target cold water supply control strategy. The target cold water supply control strategy has the lowest energy consumption and the smallest abnormal heat accumulation.

[0104] Before the cold water supply control strategy is implemented, the target cold water supply control strategy generated by the optimization algorithm can be input into the simulation model, and the effectiveness of the target cold water supply control strategy can be verified through three-dimensional fluid mechanics simulation.

[0105] Figure 4 This is a schematic diagram of the structure of a system for optimizing artificial habitat cold water supply control strategy provided in an embodiment of this specification.

[0106] Corresponding to the method embodiment, this embodiment also provides a system for optimizing an artificial habitat cold water supply control strategy, which may include:

[0107] Acquisition module 402, for acquiring environmental data of the coral cultivation area; the environmental data at least includes seawater temperature, light intensity and tidal parameters;

[0108] A first determining module 404 is configured to input the environmental data into a temperature prediction model to obtain first temperature data output by the temperature prediction model; the first temperature data includes temperature data greater than a physiological threshold of the coral;

[0109] A second determining module 406 is configured to obtain second temperature data based on the first temperature data and a preset cold water supply control strategy; the second temperature data represents the seawater temperature in the coral cultivation area after adjusting the operating parameters of the cold water pump according to the preset cold water supply control strategy; the cold water supply control strategy includes multiple operating start times and a total operating time of the cold water pump;

[0110] The third determination module 408 is configured to update the preset cold water supply control strategy using a preset optimization algorithm based on the second temperature data to obtain a target cold water supply control strategy, so as to adjust the seawater temperature of the coral cultivation area under the artificial habitat conditions according to the target cold water supply control strategy.

[0111] Optionally, in the embodiments of this specification, obtaining the second temperature data according to the first temperature data and a preset cold water supply control strategy may specifically include:

[0112] Using gradient boosting regression tree, an artificial habitat water supply model was constructed;

[0113] The first temperature data and the preset cold water supply control strategy are input into the artificial habitat water supply model to obtain second temperature data; the artificial habitat water supply model is used to simulate the operation process of the cold water pump.

[0114] Optionally, in the embodiment of this specification, based on the second temperature data, using a preset optimization algorithm to update the preset cold water supply control strategy to obtain a target cold water supply control strategy may specifically include:

[0115] determining an objective function for evaluating the preset cold water supply control strategy based on the second temperature data;

[0116] Iterating the preset cooling water supply control strategy using a preset optimization algorithm to obtain multiple candidate cooling water supply control strategies;

[0117] Calculating target values ​​of the preset chilled water supply control strategy and each of the candidate chilled water supply control strategies according to the objective function;

[0118] The cooling water supply control strategy corresponding to the minimum target value is used as the target cooling water supply control strategy.

[0119] Optionally, in the embodiments of this specification, determining the objective function for evaluating the preset cold water supply control strategy based on the second temperature data may specifically include:

[0120] calculating an abnormal heat accumulation amount in the coral cultivation area based on the second temperature data and the coral physiological threshold;

[0121] Calculating the energy consumption of the cold water pump according to the total operating time and the power of the cold water pump;

[0122] An objective function is determined based on the abnormal heat accumulation amount and the energy consumption.

[0123] Optionally, before inputting the environmental data into the temperature prediction model in the embodiments of this specification, the system may include:

[0124] A preprocessing module, used for preprocessing the environmental data;

[0125] Based on the pre-processed environmental data, a multidimensional dataset including the seawater temperature, the light intensity and the tidal current parameters is constructed.

[0126] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

[0127] The above description is of specific embodiments of this specification, and other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily have to be performed in the specific order or continuous order shown to achieve the desired results. The various embodiments in this specification are described in a progressive manner, and the same and similar parts between the various embodiments can be referenced to each other. Each embodiment focuses on the differences from other embodiments.

[0128] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0129] The foregoing is merely an embodiment of the present invention and is not intended to limit the present application. For those skilled in the art, various modifications and variations may be made to the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for optimizing artificial habitat cold water supply control strategy, characterized in that: include: Acquiring environmental data of the coral cultivation area; the environmental data at least includes seawater temperature, light intensity, and tidal parameters; Inputting the environmental data into a temperature prediction model to obtain first temperature data output by the temperature prediction model; the first temperature data includes temperature data greater than a physiological threshold of the coral; obtaining second temperature data based on the first temperature data and a preset cold water supply control strategy; the second temperature data representing the seawater temperature of the coral cultivation area after adjusting the operating parameters of the cold water pump according to the preset cold water supply control strategy; the cold water supply control strategy including multiple operating start times and total operating time of the cold water pump; Based on the second temperature data, a preset optimization algorithm is used to update the preset cold water supply control strategy to obtain a target cold water supply control strategy, so as to adjust the seawater temperature of the coral cultivation area under the artificial habitat condition according to the target cold water supply control strategy; The method of updating the preset cold water supply control strategy based on the second temperature data using a preset optimization algorithm to obtain a target cold water supply control strategy specifically includes: determining an objective function for evaluating the preset cold water supply control strategy based on the second temperature data; iterating the preset cold water supply control strategy using a preset optimization algorithm to obtain multiple candidate cold water supply control strategies; calculating the target values ​​of the preset cold water supply control strategy and each of the candidate cold water supply control strategies according to the objective function; and using the cold water supply control strategy corresponding to the smallest target value as the target cold water supply control strategy, wherein the objective function includes the abnormal heat accumulation in the coral cultivation area and the energy consumption of the cold water pump.

2. The method according to claim 1, characterized in that The obtaining of the second temperature data according to the first temperature data and the preset cold water supply control strategy specifically includes: Using gradient boosting regression tree, an artificial habitat water supply model was constructed; The first temperature data and the preset cold water supply control strategy are input into the artificial habitat water supply model to obtain the second temperature data output by the artificial habitat water supply model; the artificial habitat water supply model is used to simulate the operation process of the cold water pump.

3. The method according to claim 1, characterized in that Determining an objective function for evaluating the preset cooling water supply control strategy based on the second temperature data specifically includes: calculating an abnormal heat accumulation amount in the coral cultivation area based on the second temperature data and the coral physiological threshold; Calculating the energy consumption of the cold water pump according to the total operating time and the power of the cold water pump; An objective function is determined based on the abnormal heat accumulation amount and the energy consumption.

4. The method according to claim 1, wherein Before inputting the environmental data into the temperature prediction model, the method includes: Preprocessing the environmental data; Based on the pre-processed environmental data, a multidimensional dataset including the seawater temperature, the light intensity and the tidal current parameters is constructed.

5. A system for optimizing artificial habitat cold water supply control strategy, characterized in that: include: An acquisition module is used to acquire environmental data of the coral cultivation area; the environmental data at least includes seawater temperature, light intensity and tidal parameters; A first determination module is configured to input the environmental data into a temperature prediction model to obtain first temperature data output by the temperature prediction model; the first temperature data includes temperature data greater than a physiological threshold of the coral; a second determining module configured to obtain second temperature data based on the first temperature data and a preset cold water supply control strategy; the second temperature data representing the seawater temperature of the coral cultivation area after adjusting the operating parameters of the cold water pump according to the preset cold water supply control strategy; the cold water supply control strategy including multiple operating start times and a total operating time of the cold water pump; a third determining module, configured to update the preset cold water supply control strategy using a preset optimization algorithm based on the second temperature data to obtain a target cold water supply control strategy, so as to adjust the seawater temperature of the coral cultivation area under the artificial habitat conditions according to the target cold water supply control strategy; The method of updating the preset cold water supply control strategy based on the second temperature data using a preset optimization algorithm to obtain a target cold water supply control strategy specifically includes: determining an objective function for evaluating the preset cold water supply control strategy based on the second temperature data; iterating the preset cold water supply control strategy using a preset optimization algorithm to obtain multiple candidate cold water supply control strategies; calculating the target values ​​of the preset cold water supply control strategy and each of the candidate cold water supply control strategies according to the objective function; and using the cold water supply control strategy corresponding to the smallest target value as the target cold water supply control strategy, wherein the objective function includes the abnormal heat accumulation in the coral cultivation area and the energy consumption of the cold water pump.

6. The system according to claim 5, characterized in that The obtaining of the second temperature data according to the first temperature data and the preset cold water supply control strategy specifically includes: Using gradient boosting regression tree, an artificial habitat water supply model was constructed; The first temperature data and the preset cold water supply control strategy are input into the artificial habitat water supply model to obtain second temperature data; the artificial habitat water supply model is used to simulate the operation process of the cold water pump.

7. The system according to claim 5, characterized in that Determining an objective function for evaluating the preset cooling water supply control strategy based on the second temperature data specifically includes: calculating an abnormal heat accumulation amount in the coral cultivation area based on the second temperature data and the coral physiological threshold; Calculating the energy consumption of the cold water pump according to the total operating time and the power of the cold water pump; An objective function is determined based on the abnormal heat accumulation amount and the energy consumption.

8. The system according to claim 5, wherein: Before inputting the environmental data into the temperature prediction model, the system includes: A preprocessing module, used for preprocessing the environmental data; Based on the pre-processed environmental data, a multidimensional dataset including the seawater temperature, the light intensity and the tidal current parameters is constructed.

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