48 results about "Optimal growth" patented technology

The invention discloses an Internet of Things supervision method and system applied to strawberry growth management, and relates to the technical field of smart agriculture, and the method comprises the steps: integrating historical strawberry growth full-cycle multi-dimensional data, constructing a strawberry growth knowledge graph, taking different growth stages as nodes, and obtaining the optimal growth interval of each node; tracking a dynamic evolution track of the soil saline-alkali parameters on the time sequence, and constructing a dynamic prediction model of the target soil saline-alkali parameters; based on a multi-dimensional sensor, monitoring growth parameters in real time, inputting a knowledge graph to judge the growth node of the strawberry in the time period, predicting the trend by integrating the growth parameters in the time period and soil saline-alkali parameters, calculating the deviation degree of the growth node in the time period and the optimal growth interval, and evaluating whether the growth parameters in the time period are in a safe range or not; if it is judged that the growth is in the abnormal growth risk period, a layered early warning mechanism is implemented, a case with the highest similarity in the knowledge graph is paired, and a solution is rapidly provided. The method has the beneficial effects that the yield and quality of strawberries are improved.

The invention relates to the technical field of aquaculture net cage control, in particular to a net cage suspension depth-keeping information sensing, monitoring and adjusting system which provides comprehensive data support for net cage state monitoring by collecting multi-source sensor data. A net cage real-time suspension state portrait is generated through data fusion processing, and a reliable basis is provided for decision making; by judging the suspension state, a multi-dimensional adjustment scheme is generated, and it is ensured that the net cage is rapidly recovered to the set state; adjusting instructions are executed through the multiple adjusting units, and safe operation of the net cage is guaranteed; by establishing a historical strategy retrieval and optimization mechanism, control parameters are optimized, and the long-term operation efficiency of the system is improved. The net cage is used for solving the problems that a traditional net cage is lagged in suspension state control and poor in stability under the complex sea condition, continuous and stable optimal growth water depth and posture can be provided for high-value cultured organisms sensitive to the environment, the survival rate and breeding efficiency of improved breeds are effectively improved, and the net cage has remarkable industrial application value.

This invention discloses a strain of *Neocallimastix* LGM-ZA9 and its application in the preparation of a coumarin-degrading feed additive. *Neocallimastix* LGM-ZA9 is classified as *Neocallimastix* sp., with accession number CGMCC No. 17592, and its optimal growth temperature is 39℃. The fermentation broth of *Neocallimastix* LGM-ZA9 can be used to degrade the anti-nutritional factor coumarin. The method is simple: the coumarin-containing material to be degraded is mixed with the fermentation broth, sterilized, and then the fermentation broth is added for anaerobic fermentation to degrade the coumarin. This preparation method is simple, highly operable, and can significantly reduce the coumarin content, providing a new method for feeding ruminants with sweet clover as a high-quality forage.

The invention provides a seedling-raising light-temperature-water-fertilizer coordinated regulation and control method based on a strong seedling index. The method comprises the following steps: S1, acquiring morphological data and physiological data of standard seedlings; s2, dynamically setting basic illumination, basic temperature, basic humidity and basic nutrient solution concentration parameters according to the seedling development stage; s3, calculating to obtain a real-time seedling strengthening index, and calculating to obtain a seedling strengthening index deviation through the real-time seedling strengthening index and the standard seedling strengthening index; s4, adjusting basic illumination, basic temperature and basic humidity according to the seedling strengthening index deviation; s5, if the real-time seedling strengthening index is lower than the index threshold value in the specified time period, the nutrient solution concentration is increased and supplemented, and the basic illumination parameters are adjusted. The method has the advantages that the seedling strengthening index is detected in real time, illumination, temperature, humidity and a nutrient solution are adjusted according to deviation, the most suitable growth environment can be provided for seedlings, adjustment is conducted according to the actual requirements of the seedlings, and it is ensured that the seedlings can obtain the optimal growth conditions in all growth stages.

One bacterial strain, designated HC1M1C21T, was isolated from human faeces and analyzed using phylogenetic, morphologic and biochemical approaches. Phylogenetic analyses based on 16S rRNA sequences and a set of 92 bacterial core genes indicated that this strain belongs to the Lachnospiraceae family and clusters near Pilosibacter fragilis (96.9% 16S rRNA sequence identity). HC1M1C21T has a DNA G+C content of 48.7 mol%. This strain is anaerobic, Gram- stain-positive, non-motile and non-spore-forming. HC1M1C21T cells appear as single rods or chained rods with tapered ends. Optimal growth was observed at 37°C, at pH between 5.5 and 6.5 and at salinity below 10 g / L. HC1M1C21T is a potent butyrate producer. The invention pertains to a new bacterial strain that produces butyrate and several independent factors with anti-inflammatory properties.

This invention belongs to the field of granulation, specifically disclosing an automated water suspension granulation control method based on online particle size monitoring, comprising: Step 1, during the granulation process, using an online particle size analyzer to monitor the particle size in real time and plotting a real-time particle size growth curve over time; Step 2, based on the morphological characteristics such as the slope change points of the real-time particle size growth curve, automatically dividing the granulation process into three characteristic stages; Step 3, for each stage divided in Step 2, establishing a quantitative model between particle size growth and key process parameters; Step 4, based on the model's predictive and feedback control, executing closed-loop control in a new granulation batch. This invention also discloses an automated water suspension granulation control system. This method and system, through real-time feedback and dynamic adjustment, ensure that the granulation process of each batch follows the optimal growth trajectory, significantly reducing product quality differences between batches.

The invention discloses a decoupling type fish and vegetable symbiotic system and an implementation method, and belongs to the technical field of ecological agriculture and circulating planting and breeding. The decoupling type fish and vegetable symbiotic system comprises a box body culture unit used for aquaculture; the input end of the digestion filtering unit is connected to the water outlet end of the breeding unit, and the digestion filtering unit is used for filtering and nitrifying the breeding wastewater; the planting unit adopts an aeroponic cultivation device, and the aeroponic cultivation device is provided with a spraying device; the double-loop fertilizer supply system comprises a fish culture water circulation branch and a nutrient solution branch, and the fish culture water circulation branch is used for leading water treated by the digestion and filtration unit to the spraying device; and the control unit is configured to control the double-loop fertilizer supply system, so that the spraying device selectively sprays fish culture water or nutrient solution, the limitation that the culture density and the planting area must be strictly matched is broken through, the fishes and the vegetables can be in the optimal growth state, and the efficiency and the stability of the system are improved.

This invention discloses a method and apparatus for optimizing the crystal quality of LED epitaxial layers based on deep learning, relating to the field of semiconductor technology. The method includes: acquiring historical growth parameters and historical crystal quality characterization data, wherein the historical growth parameters and historical crystal quality characterization data correspond one-to-one; preprocessing the historical growth parameters and historical crystal quality characterization data; constructing a supervised learning dataset using the preprocessed historical growth parameters as input features and the preprocessed crystal quality characterization data as output labels; constructing a deep learning model and training the deep learning model using the supervised learning dataset to generate a forward model; optimizing the forward model to obtain optimal growth parameters; and applying the optimal growth parameters to an MOCVD device for epitaxial growth experiments. Using this invention, precise, efficient, and intelligent optimization of the crystal quality of LED epitaxial layers can be achieved.

A system is provided.SOLUTION: A system comprising: means for collecting a plurality of pieces of environmental data related to a growth state of a plant using a sensor; means for analyzing the environmental data using generative artificial intelligence and proposing an optimal growth condition; means for automatically adjusting an environment based on the proposed growth condition; and means for collecting the adjusted environmental data again and performing feedback.SELECTED DRAWING: Figure 1

The invention discloses a method and device for determining a crop irrigation strategy and a storage medium. The method comprises the steps of obtaining historical planting data of a target planting area; inputting each first soil moisture content threshold group comprising a plurality of soil moisture content thresholds in different growth stages and historical planting data into a crop moisture production model to obtain a target function of crop yield and irrigation volume and a function value corresponding to each first soil moisture content threshold group, the target function is the highest crop yield and the minimum irrigation volume of the target planting area; and determining a first target soil moisture content threshold group corresponding to the target planting area according to the function values corresponding to all the first soil moisture content threshold groups, and taking the first target soil moisture content threshold group as an irrigation strategy of the target planting area. According to the scheme, the soil moisture content threshold values are set and optimized respectively according to the moisture requirements of the crops in different growth stages, the water utilization efficiency is improved through refined moisture management, and the optimal growth conditions of the crops in each growth period are met.

The invention belongs to the technical field of agricultural intelligent regulation and control, and particularly provides an agricultural greenhouse artificial intelligence regulation and control system and method based on waste heat utilization of a power plant. An agricultural greenhouse artificial intelligence regulation and control system based on power plant waste heat utilization comprises a greenhouse environment regulation and control module, a data acquisition module, a prediction module, a crop model module, an intelligent decision module and a control module. The data acquisition module can collect existing waste heat input, waste heat output and future weather information, the prediction module predicts the future thermal load demand of the greenhouse according to the current external environment and future weather forecast, and the crop model module stores environment parameters suitable for the current growth cycle of crops. The intelligent decision-making module can integrate three-party information of the real-time environment, the future prediction and the crop demand to formulate an optimal control strategy, and the control module executes precise regulation and control on the greenhouse environment, so that the production of the crops in the optimal growth environment is ensured, and the quality and the yield of the crops are improved.

The present application relates to the technical field of aquaculture net cage control, and particularly relates to a net cage suspension depth fixing information sensing monitoring and adjusting system, which comprises the following steps: collecting multi-source sensor data to provide comprehensive data support for net cage state monitoring; generating a net cage real-time suspension state image through data fusion processing to provide a reliable basis for decision making; generating a multi-dimensional adjusting scheme through judging the suspension state to ensure that the net cage is quickly restored to the set state; executing adjusting instructions through multiple adjusting units to ensure the safe operation of the net cage; and establishing a historical strategy retrieval and optimization mechanism to optimize control parameters and improve the long-term operation efficiency of the system. The present application is used to solve the problems of traditional net cages, such as lagging in suspension state regulation and control under complex sea conditions and poor stability, and can provide a continuous and stable optimal growth water depth and posture for high-value aquaculture organisms sensitive to the environment, effectively improve the survival rate and breeding efficiency of good strains, and has significant industrial application value.

This invention discloses an intelligent hydroponic cultivation cabinet and its control system. The intelligent hydroponic cultivation cabinet uses a temperature sensor and an air conditioning system to regulate the working temperature within the working chamber, ensuring optimal growth during planting. It also uses a humidity sensor and a humidification system to regulate the working humidity within the working chamber, maintaining optimal growth humidity. Furthermore, the coordinated operation of a fresh air system, a nutrient solution circulation system, and lighting provides a suitable environment for plant growth, ensuring healthy plant development. The control system for this intelligent hydroponic cultivation cabinet can be customized with planting plans based on the variety of hydroponic plants. The system automatically adjusts the lighting, nutrient solution concentration, temperature, and humidity according to the planting plan, providing a more suitable environment for plant growth. Moreover, the operation is simpler, requiring minimal manual intervention.

The invention discloses a whole-tray type large seed vertical directional seeding method and device for factory plug seedling, machine vision and a mechanical device are combined, accurate directional seeding operation of seeds is realized through direction-adjusting migration after whole-tray type pre-seeding, and the whole set of device comprises a conventional matrix plug conveying belt and a direction-adjusting seeding device, the device is composed of a parallelogram connecting rod mechanism, four array type seed storage containers with different stations, three whole-disc type negative pressure seed suction devices responsible for seed movement between the different stations, a camera and a control system. After the seeds are taken from the seed box by negative pressure, four actions of pre-sowing, horizontal direction adjusting pre-sowing, vertical seed falling direction adjusting and seed pressing are performed in sequence, so that precise directional sowing of 45-degree circumferential positioning relative to the center of each hole and vertical insertion into matrix soil is realized, the orientation consistency of cotyledons in the seedling stage is ensured, and the optimal growth space and illumination are obtained. The seeding efficiency and quality are high, and convenient conditions are provided for subsequent accurate grafting.

This invention belongs to the field of plant tissue culture technology, specifically relating to a method for producing natural cellulose from adventitious roots and its application. The induction culture method includes: using industrial hemp leaves as explants, inducing callus formation, differentiating solid adventitious roots, and obtaining adventitious roots through liquid suspension culture; changing the ammonium-nitrate ratio in the 1 / 2 MS medium to 1000 mg / L potassium nitrate and 300 mg / L ammonium nitrate, and increasing the concentration of EDTA-Fe chelated iron, while keeping other substances unchanged; adding 2 mg / L gibberellin on the 14th day of culture, along with EDTA-2Na to eliminate CaSO4 and release sulfate ions, synergistically increasing cellulose content with gibberellin. Finally, transferring to a bioreactor, nitrogen gas is introduced through a nitrogen cylinder (hypoxia stress), employing a hypoxia-reoxygenation cycle, resulting in the optimal growth state of the adventitious roots from the industrial hemp roots, and the highest cellulose content in the resulting adventitious roots.

The invention discloses a shiny-leaved yellowhorn growth state intelligent monitoring analysis method and system, and relates to the technical field of monitoring analysis. According to the intelligent monitoring and analyzing method for the growth state of the xanthoceras sorbifolia bunge, the optimal growth area is accurately locked through image clustering, and flora combination analysis is associated with specific environmental conditions in combination with soil sampling and temperature and humidity data; finally, the optimal flora combination which is adaptive to different temperature and humidity, is highly associated with high-quality growth and can stably play a role is screened out, accurate connection from macroscopic monitoring to microcosmic flora screening is achieved, the scientificity and high efficiency of shiny-leaved yellowhorn growth management are improved, and the method is suitable for popularization and application. The method solves the problem that the suitability and the stability of the screened growth-promoting flora group in the traditional shiny-leaved yellowhorn growth monitoring are insufficient.

This invention provides a sugarcane tissue culture seedling cultivation system, belonging to the field of sugarcane cultivation technology. It includes a sterile environment cultivation chamber, an environmental factor synergistic regulation system, a machine vision-based intelligent management system for culture media and cultures, culture bottles, and culture racks. The culture bottles are placed on the culture racks, which are located within the sterile environment cultivation chamber. This invention establishes a light-temperature-humidity-air linkage model to simulate the optimal growth microenvironment, significantly promoting the robust growth of sugarcane tissue culture seedlings, shortening the cultivation cycle, and increasing the proliferation coefficient and rooting rate. It utilizes machine vision technology to automatically monitor growth parameters such as seedling height, bud number, and root system, accurately determining the optimal time for transfer and termination of rooting culture, eliminating weak, deformed, and contaminated seedlings, and greatly improving the uniformity and quality of seedlings. By optimizing the design of the lighting system and the standardized placement of culture bottles, it ensures uniform light distribution and reduces energy consumption; through precise control, it reduces resource waste.

The invention discloses a molecular beam epitaxy tellurium-cadmium-mercury film growth control method based on RHEED spot intensity real-time feedback. The method comprises the following steps: selecting a specific crystal orientation reflection spot and monitoring the intensity of the specific crystal orientation reflection spot; setting growth parameters, and determining an initial growth temperature, a temperature interval and an adjustment step length based on a Hg / Te ratio; growing at the initial temperature to obtain an RHEED spot intensity initial value; after surface resetting, the temperature is adjusted according to the step length for secondary growth, and the strength is obtained and corrected; comparing the initial value with the corrected intensity, judging the temperature adjusting direction, and repeating the steps of surface resetting, growing, intensity obtaining and correcting in the correct direction. Under unknown growth conditions (any Hg / Te), multiple growth is carried out on the same substrate by using different growth temperatures after multiple surface resetting, and the optimal growth temperature is determined according to feedback of RHEED spot intensity. The method is used for guiding the preparation of the tellurium-cadmium-mercury thin film and improving the repeatability of material preparation, the controllability of process adjustment and the mobility of the process among equipment.

This invention discloses an intelligent flowerpot and its control system. The intelligent flowerpot includes a flowerpot body and integrated within the flowerpot body a main control module, an image acquisition module, an environmental sensing module, an execution control module, a communication module, and a power supply module. The interior of the flowerpot body is divided into a plant planting chamber, a liquid storage chamber, and a sealed equipment chamber by physical partitions. This invention acquires images of plant morphology and soil surface through the image acquisition module, identifies plant species and soil physical states using the main control module, and then matches the optimal growth parameter range and executes closed-loop adaptive adjustment. Furthermore, the system also has a soil ecological anomaly monitoring function based on multi-source data fusion. By comprehensively analyzing image information, physicochemical parameters, and plant growth status, it achieves automatic early warning and physical intervention for soil ecological anomalies. This invention enables precise monitoring and intelligent management of the plant growth environment, significantly improving plant maintenance efficiency and survival rate.

This invention provides a method for cultivating one crab and two shrimp, belonging to the field of aquaculture technology. The method includes the following steps: introducing river crabs in February-March, crayfish in March-April, and freshwater shrimp in June for mixed cultivation. This method employs seasonal, relay, and staggered cultivation, ensuring that crayfish, freshwater shrimp, and river crabs are all in optimal growth conditions. Furthermore, this method allows for staggered harvesting, enabling the release of shrimp in batches during different seasons. It allows for delaying harvesting when crayfish market conditions are unfavorable, significantly reducing market risk and meeting diverse consumer demands. This method improves the overall economic efficiency of the aquaculture system.

The invention relates to a control method and device of a plant shelter, the plant shelter and a storage medium. The method comprises the following steps: receiving real-time environment data collected by a plurality of sensors in the plant shelter; crop pictures collected by an image collector in the plant shelter are received, and the types and the corresponding growth stages of crops are determined according to the crop pictures; determining control indexes of various environmental data in the current control period based on the types of the crops and the corresponding growth stages; and sending a remote control instruction to the controllers according to a difference value between the control indexes of the various environmental data and the real-time environmental data, and displaying an execution state of each controller and a change condition of the real-time environmental data. Therefore, the environmental conditions of the plant shelter can be accurately controlled, and the control indexes of the environmental data are dynamically adjusted according to different types of crops and different growth stages of the crops, so that the crops are always in the optimal growth environment, and the cultivation efficiency and yield of the crops are improved.

The invention relates to the technical field of improved breeding of animal husbandry, in particular to a wetland ecological reef structure for promoting benthic organism proliferation, which comprises a main body unit, a reef body, a supporting unit, a lifting unit and a lifting mechanism arranged on a control box and used for matching with a fixing mechanism to adjust the height of the reef body, the traction mechanism is arranged on the control box; the height-adjustable reef body structure is arranged, the depth of the reef body is dynamically adjusted in cooperation with water level changes, adaptive matching between key environment parameters such as water pressure and oxygen content and survival requirements of benthos is achieved, it is guaranteed that the benthos are in the optimal growth environment all the time, the survival rate and growth efficiency of the benthos can be effectively improved, and meanwhile the survival rate of the benthos is increased. The suspension type installation structure enables the reef body to generate moderate shaking in a stable state, dissolved oxygen supply can be improved, bait distribution can be optimized, attachment of pests can be inhibited, and metabolism and growth of benthos can be further promoted.

The greenhouse comprises a main body, a combination mechanism, a supporting mechanism and an operation mechanism, the combination mechanism comprises a rotating pipe, a first connecting rod, a sliding rod and a frame, and the supporting mechanism comprises a sliding block, an external expansion rod, a second connecting rod, a pressure-bearing frame and a matching pipe. The running mechanism comprises a driving shaft, a driven shaft, a ground-entering nail and a pressure-bearing rod, under the mutual cooperation effect of the mechanisms, the device simplifies the installation process through design, reduces dependence on professional tools or technologies, even people without professional experience can rapidly complete assembly, the requirement for technical workers is reduced, and in addition, the operation efficiency is improved. By adjusting the slope of the roof, illumination and ventilation conditions meet the requirements of crops, the optimal growth environment is provided, and therefore the yield and quality of the crops are improved.

The invention discloses a growth method of gallium oxide crystals, and belongs to the technical field of crystal growth. According to the method, the crystal growth space is arranged below the mold for growth, so that pollution of raw material volatile matters to a growth interface is fundamentally avoided; an oxygen-containing gas flow is accurately supplied to a gallium oxide melt in a capillary slit through a gas path channel specially arranged above the mold, so that the oxidation volatilization cost of an iraurita part is greatly reduced while the crystal oxygen vacancy is effectively inhibited; remote continuous feeding is carried out through the raw material supply device located above the crucible, the limitation of the melt depth on the feeding amount is overcome, and the interference of the feeding process on a core temperature field is extremely small; by controlling the relative positions of the mold and the crucible in the vertical direction, the low-cost, flexible and dynamic adjustment of the temperature gradient of the growth interface is realized, so that the optimal growth requirements of various stages of diameter shrinkage, seeding, shouldering and equal diameter of the crystal are met; after the growth is finished, the crystal can be subjected to in-situ uniform annealing in the straight-through cavity in the crucible, and the stress is fully released.

The utility model provides a floating piece type culture dish which comprises a dish body, a cover body arranged on the dish body and a floating piece which is movably connected in the dish body and can float on the surface of a nutrient solution, and the floating piece is provided with a through hole communicated with the nutrient solution in the dish body and a biological membrane arranged on the through hole and used for one-way conveying of the nutrient solution. According to the culture dish disclosed by the utility model, the floating sheet is arranged in the dish body, can float on the surface of a nutrient solution, and is communicated with the nutrient solution on the lower side through the biological membrane on the through hole, so that microorganisms can grow on the surface of the floating sheet, an optimal growth environment is provided, and the culture of black mould strains is more convenient.

The embodiment of the invention provides an epitaxial growth optimization method for EEL. The epitaxial growth optimization method comprises the following steps: epitaxially growing an n-type covering layer on a substrate; a multi-period quantum well active layer with a first V / III ratio and a first growth rate is epitaxially grown on the n-type covering layer in a first temperature interval, and the active layer comprises InGaAs quantum well layers and AlGaAs barrier layers which are alternately stacked; epitaxially growing a p-type limiting layer on the active layer; wherein the InGaAs quantum well layer grows at the temperature of 600 DEG C to 650 DEG C, and the AlGaAs barrier layer grows at the temperature of 700 DEG C to 750 DEG C; wherein the V / III ratio is the molar flow ratio of the group V element precursor to the group III element precursor, and the first V / III ratio is 250; wherein the first growth rate ranges from 0.5 nm / s to 1.0 nm / s; wherein the p-type limiting layer adopts carbon as a p-type doping agent. By respectively setting and accurately maintaining the optimal growth temperatures of the quantum well layer and the barrier layer, respective ideal crystal growth dynamic conditions are provided for the quantum well layer and the barrier layer, and the intrinsic quality of the material is ensured.

The invention belongs to the technical field of cell culture, and particularly relates to a culture method and application of human perinervous cells. The culture method comprises the following steps: inoculating HBVP into a compound basic culture medium which is prepared from DMEM and MCDB 131 mixed in a ratio of 1: 1, accurately adding HEPES with the final concentration of 10 mM, 1% (v / v) Glutamax, 1% (v / v) N2, 1% (v / v) G-5, 1% (v / v) B-27, 10 ng / mL hEGF, 5% (v / v) fetal calf serum and 1% (v / v) penicillin-streptomycin into the compound basic culture medium to form a special HBVP culture solution, and the culture solution can provide an optimal growth microenvironment for HBVP. The cell culture medium can effectively promote continuous and stable proliferation of cells and maintain high activity, can be used as a high-quality cell source for HBVP related basic research, preclinical research and potential application, and has good practicability and popularization value.

The application provides an extreme acidophilic sulfur-oxidizing bacterium and application thereof. The extreme acidophilic bacterium has strong oxidation on elemental sulfur and tetrathionate ions, is a chemolithoautotrophic acidithiobacillus, and can be used for removing elemental sulfur and tetrathionate ions in the environment, and has wide application prospects. The acidophilic sulfur-oxidizing bacterium has a preservation number of CGMCC No. 14839. The optimal growth temperature of the biological leaching and desulfurization provided by the application is normal temperature, and the optimal growth pH range is wide, so that the strain of the application has practical application significance. In addition, due to the characteristics of chemolithoautotrophy, the strain can improve the climate environment while recovering the environment.

We provide the system. [Solution] Using expert-selected information obtained from historical databases, Through the generated numerical model, we analyze complex data obtained from individuals. Identify optimal growth areas based on similarity analysis results. A system that includes the means.

The invention provides an intelligent water temperature control system and method for land-based aquaculture, and the system comprises a multi-stage temperature sensing network, a multi-mode decision module and an execution network, and the multi-stage temperature sensing network is used for collecting water temperature data in real time and monitoring the spatial distribution of the water temperature data; the multi-mode decision module is used for receiving the water temperature data and calculating the deviation state and trend of the current water temperature relative to a preset suitable interval; the multi-mode decision-making module is used for generating a cooperative regulation and control strategy for maintaining the water temperature in a proper interval or enabling the water temperature to rapidly return to the interval according to the auxiliary data and the deviation state and trend of the current water temperature; and the execution network is used for executing heating, cooling or thermal diffusion operation on a specific area to enable the overall water temperature of the culture pond to converge to a preset appropriate interval. By integrating multi-level sensing, intelligent decision making and accurate execution, internal and external interference is dynamically overcome, the temperature of the aquaculture water body is continuously and stably maintained within the preset suitable interval, the optimal growth environment is created for aquaculture creatures, and the aquaculture benefits are improved.