Assembly type solar breeding square cabin system based on multi-source perception and cooperative regulation and control

Abstract

The invention provides an assembly type solar breeding square cabin system based on multi-source perception and cooperative regulation and control. The assembly type solar breeding square cabin system comprises an equipment square cabin and a breeding square cabin, a solar photovoltaic panel is integrated on the top of the equipment shelter, and an energy management unit and a cooperative regulation and control unit are arranged in the equipment shelter; the energy management unit manages the electric energy generated by the solar photovoltaic panel and switches among three modes of solar energy, energy storage and power grid power supply; the breeding square cabin is connected with the equipment square cabin through a connector, and a breeding operation space is formed inside; an environment data acquisition unit and an environment regulation and control unit are arranged in the space; the environment data acquisition unit acquires multi-dimensional environment data in real time; and the cooperative regulation and control unit generates cooperative control instructions for a plurality of execution mechanisms in the environment regulation and control unit through a coupling analysis model based on the multi-dimensional environment data so as to maintain the dynamic balance of the breeding environment parameters. According to the invention, through multi-source sensing and energy cooperative regulation and control under a modularized double-cabin structure, double optimization of stable control of a breeding environment and operation cost is realized.

Description

Technical Field

[0001] This invention belongs to the technical field of livestock breeding facilities, and specifically relates to a prefabricated solar-powered breeding cabin system based on multi-source sensing and coordinated control. Background Technology

[0002] As modern agriculture develops towards intensification and intelligentization, closed-loop, factory-style farming models are becoming increasingly popular. These models require extremely high environmental stability; precise control of parameters such as temperature, humidity, ammonia concentration, carbon dioxide concentration, and dust concentration directly impacts livestock health and production efficiency. However, current mainstream livestock environmental control systems suffer from the following significant technical bottlenecks.

[0003] Most existing systems rely on fixed-location, single-type sensors for environmental monitoring, such as temperature and humidity sensors only installed on the roof. This placement method cannot capture the complex environmental gradients and differences within the breeding space (especially between upper and lower layers of multi-layer cages, and between corners and the central area). Control based on localized, fragmented data often leads to uneven environmental conditions, such as localized overheating, excessive humidity, or poor ventilation, affecting overall breeding efficiency. Secondly, environmental control systems typically include multiple independent actuators such as fans (cooling and ventilation), wet curtains or sprayers (humidification), heaters, and exhaust fans. Traditional control strategies are mostly "on / off" or PID control based on single parameter thresholds, with each mechanism acting independently and lacking coordination. For example, increasing fan speed in summer to cool down may lead to excessively low humidity, triggering humidification equipment; simultaneously, increasing exhaust fan speed to reduce harmful gas concentrations may result in the loss of treated air with suitable temperature and humidity, causing energy waste and offsetting equipment actions, making it difficult to achieve overall environmental stability and optimal energy efficiency. Third, the energy-intensive environmental control equipment heavily relies on a stable mains power supply. In remote areas with weak power grids or during power outages, the system is at high risk of paralysis, potentially causing significant economic losses. Furthermore, traditional livestock sheds are mostly fixed brick-concrete structures, with long construction periods, high costs, and difficulties in relocation or flexible expansion, making them unsuitable for dynamic needs such as land transfers and scale adjustments.

[0004] Although there have been some attempts to combine solar power or adopt modular building technology, most of them only remain at the level of energy substitution or structural simplification, and have failed to solve the fundamental problem of deep integration of comprehensive environmental perception, multi-agency control coordination and energy supply adaptability at the system level. Summary of the Invention

[0005] To address the aforementioned technical challenges, this invention proposes a prefabricated solar-powered aquaculture cabin system based on multi-source sensing and collaborative control. The system aims to comprehensively acquire environmental information through a multi-dimensional sensing network, resolve control conflicts between actuators using a multi-variable collaborative intelligent algorithm, and combine a modular prefabricated cabin with adaptive solar power supply to ultimately achieve precise, stable, efficient, and low-carbon control of the aquaculture environment.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, the present invention proposes a prefabricated solar-powered aquaculture cabin system based on multi-source sensing and coordinated control, comprising: an equipment cabin and an aquaculture cabin; The top of the equipment container is integrated with a solar power generation unit, and the interior is equipped with an energy management unit and a collaborative control unit. The energy management unit is used to manage the electrical energy generated by the solar power generation unit and is configured to adaptively switch between three modes: solar power supply, energy storage power supply and grid power supply. The aquaculture cabin is connected to the equipment cabin via a prefabricated interface, forming an aquaculture operation space inside. An environmental data acquisition unit and an environmental control unit are set up inside the aquaculture operation space. The environmental data acquisition unit is used to collect multi-dimensional environmental data in real time and send it to the collaborative control unit. The collaborative control unit generates collaborative control commands for multiple actuators in the environmental control unit based on the multi-dimensional environmental data through a coupled analysis model, so as to maintain the dynamic balance of aquaculture environmental parameters.

[0007] The effects described in the invention are merely those of the embodiments, and not all the effects of the invention. One of the above technical solutions has the following advantages or beneficial effects: This invention proposes a prefabricated solar-powered aquaculture cabin system based on multi-source sensing and collaborative control, comprising: an equipment cabin and an aquaculture cabin; the equipment cabin integrates a solar power generation unit on its top and houses an energy management unit and a collaborative control unit inside; the energy management unit manages the electrical energy generated by the solar power generation unit and is configured to adaptively switch between three power supply modes: solar power, energy storage power, and grid power; the aquaculture cabin connects to the equipment cabin via a prefabricated interface, forming an aquaculture operation space inside; an environmental data acquisition unit and an environmental control unit are installed within the aquaculture operation space; the environmental data acquisition unit collects multi-dimensional environmental data in real time and sends it to the collaborative control unit; the collaborative control unit generates collaborative control commands for multiple actuators in the environmental control unit based on the multi-dimensional environmental data through a coupled analysis model to maintain the dynamic balance of aquaculture environmental parameters. This invention comprehensively acquires environmental information through a multi-dimensional three-dimensional sensing network, resolves control conflicts between actuators through a multi-variable collaborative intelligent algorithm, and combines a modular prefabricated cabin with adaptive solar hybrid power supply to ultimately achieve precise, stable, efficient, and low-carbon control of the aquaculture environment.

[0008] This invention achieves multiple synergistic effects through a modular architecture that separates the equipment compartment and the aquaculture compartment: the equipment compartment, acting as a centralized energy hub and control center, provides a stable and clean operating environment for power generation, energy storage, and intelligent control equipment, significantly improving the lifespan and reliability of core equipment; the aquaculture compartment, on the other hand, becomes a purely environmentally controlled space, eliminating internal heat sources and interference, allowing for more precise and efficient control of temperature, humidity, and airflow. This design greatly enhances the system's site adaptability and scalability, supporting rapid deployment in a multi-unit configuration, and reducing the costs and difficulties of transportation, installation, and large-scale expansion. Simultaneously, it achieves professional management and physical isolation of energy flow, information flow, and aquaculture production flow, enabling system maintenance and upgrades to be carried out without affecting aquaculture production. Overall, it achieves synergistic optimization of aquaculture environment control precision, system operating energy efficiency, and equipment lifecycle economics.

[0009] This invention overcomes the limitations of traditional single-point monitoring by using a three-dimensional sensing network that combines fixed and mobile sensors, achieving global, real-time, and precise sensing of the three-dimensional space of the aquaculture environment, thus laying a data foundation for refined regulation.

[0010] This invention, through a collaborative control algorithm that integrates conflict arbitration and equipment coupling compensation, fundamentally solves the problems of motion conflict and energy consumption caused by independent control of multiple actuators, achieves high dynamic balance of environmental parameters, and improves the overall energy efficiency and control quality of the system. Attached Figure Description

[0011] Figure 1This is a front view of the prefabricated solar-powered aquaculture cabin system based on multi-source sensing and coordinated control proposed in Embodiment 1 of the present invention; Figure 2 This is a top view of the prefabricated solar-powered aquaculture cabin system based on multi-source sensing and coordinated control proposed in Embodiment 1 of the present invention; Figure 3 This is a right view of the prefabricated solar-powered aquaculture cabin system based on multi-source sensing and coordinated control proposed in Embodiment 1 of the present invention; Figure 4 This is a flowchart of the collaborative control unit proposed in Embodiment 1 of the present invention; Legend: 1-Equipment container; 2-Aquaculture container; 3-Air-cooled module; 4-Hydraulic module; 5-Water supply tank; 6-Rainproof window; 7-Exhaust device; 8-Personnel door; 9-Equipment door; 10-Slope; 12-Aquaculture passage; 13-Aquaculture support frame; 14-Aquaculture platform; 15-Solar photovoltaic panel. Detailed Implementation

[0012] To clearly illustrate the technical features of this solution, the invention will be described in detail below through specific embodiments and in conjunction with the accompanying drawings. The following disclosure provides many different embodiments or examples for implementing different structures of the invention. To simplify the disclosure of the invention, components and arrangements of specific examples are described below. Furthermore, reference numerals and / or letters may be repeated in different examples. This repetition is for simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed. It should be noted that the components illustrated in the drawings are not necessarily drawn to scale. Descriptions of well-known components, processing techniques, and processes are omitted in this invention to avoid unnecessarily limiting the invention.

[0013] Example 1 Embodiment 1 of this invention proposes a prefabricated solar-powered aquaculture cabin system based on multi-source sensing and coordinated control, which is used to solve the defects of existing intensive aquaculture equipment in terms of energy supply, environmental control and site adaptability.

[0014] Figure 1 This is a front view of the prefabricated solar-powered aquaculture cabin system based on multi-source sensing and coordinated control proposed in Embodiment 1 of the present invention; the system includes an equipment cabin 1 and an aquaculture cabin 2; The top of the equipment container 1 is integrated with a solar power generation unit, and an energy management unit and a collaborative control unit are installed inside. The energy management unit is used to manage the electrical energy generated by the solar power generation unit and is configured to adaptively switch between three modes: solar power supply, energy storage power supply and grid power supply. The aquaculture cabin 2 is connected to the equipment cabin 1 via a prefabricated interface, forming an aquaculture operation space inside. An environmental data acquisition unit and an environmental control unit are set up inside the aquaculture operation space. The environmental data acquisition unit is used to collect multi-dimensional environmental data in real time and send it to the collaborative control unit. The collaborative control unit generates collaborative control commands for multiple actuators in the environmental control unit based on the multi-dimensional environmental data through a coupling analysis model, so as to maintain the dynamic balance of aquaculture environmental parameters.

[0015] Figure 2 This is a top view of the prefabricated solar-powered aquaculture cabin system based on multi-source sensing and coordinated control proposed in Embodiment 1 of the present invention; Figure 3 This is a right view of the prefabricated solar-powered aquaculture cabin system based on multi-source sensing and coordinated control proposed in Embodiment 1 of the present invention; combined with Figure 2 and Figure 3 To illustrate the other structures of the system.

[0016] The equipment container 1 serves as the system's energy hub and intelligent brain. Its top integrates solar photovoltaic panels 15, and its interior centrally houses the energy management unit, collaborative control unit, energy storage batteries, and power distribution equipment. This design provides a clean, stable, and safe independent operating environment for the core equipment.

[0017] The energy management unit in equipment container 1 manages the electrical energy generated by the solar photovoltaic panels 15 and is configured to adaptively switch between three power supply modes: solar power, energy storage power, and grid power; specifically: Real-time monitoring and comparison of the output power of the solar power generation unit with the total load demand of the system; When the output power of the solar power generation unit is sufficient to meet the total load demand, the direct solar power supply mode is preferred, and the surplus electrical energy is stored in the energy storage unit; when the output power of the solar power generation unit is insufficient to meet the total load demand, the available energy status of the energy storage unit is determined. If the available energy state of the energy storage unit is higher than the preset guarantee threshold, the energy storage discharge mode is activated, and the energy storage unit replenishes the power deficit; if the available energy state of the energy storage unit is lower than the guarantee threshold, the system automatically switches to grid power replenishment mode, and the external power grid replenishes the power deficit.

[0018] In Embodiment 1 of the present invention, when the real-time solar power generation is greater than or equal to the total energy consumption of the equipment, direct solar power is preferred and the energy storage unit is charged. When the real-time solar power generation is less than the total energy consumption of the equipment and the remaining power of the energy storage unit is greater than or equal to 20%, the energy storage discharge mode is activated. When the real-time solar power generation is less than the total energy consumption of the equipment and the remaining power of the energy storage unit is less than 20%, the system will automatically switch to grid-supplemented power mode.

[0019] The scope of protection of this invention is not limited to the specific proportions listed in Example 1, and those skilled in the art can make reasonable adjustments according to the actual situation.

[0020] The breeding container 2 has one or more rainproof windows 6 on its side wall or end wall; the breeding container 2 has independently set personnel door 8 and equipment door 9, the size of the personnel door 8 is smaller than the size of the equipment door 9; a ramp 10 is connected to the outside of the equipment door 9 to facilitate the entry and exit of equipment; the interior of the breeding container 2 is divided into multiple breeding channels 12 by the breeding support 13; the breeding support 13 adopts a multi-layer structure, and each layer is equipped with a breeding platform 14.

[0021] The aquaculture container 2, as a purely environmentally controlled space, is connected to the equipment container 1 through standardized assembly interfaces. Inside, it features multi-layered aquaculture supports 13, on which aquaculture platforms 14 are arranged. The number of layers can be adjusted according to the type of aquaculture to optimize space utilization. Aquaculture channels 12 are divided around the platforms for personnel to walk and operate. Personnel doors 8 and rainproof windows 6 are also provided, with the personnel doors and equipment doors arranged separately to reduce the frequency of equipment door opening and lower energy consumption. The aquaculture container also integrates an air-cooling module 3, a hydraulic module 4, a water supply tank 5, and an exhaust system 7.

[0022] Figure 4 This is a flowchart of the collaborative control unit proposed in Embodiment 1 of the present invention; An environmental data acquisition unit is deployed in the aquaculture container 2; the environmental data acquisition unit includes a fixedly installed environmental data acquisition module and a mobile monitoring node that can move along a preset path; The fixed-installation environmental data acquisition module includes a temperature sensor, a humidity sensor, a gas concentration sensor, and a cleanliness sensor. The temperature sensor is installed at the top of the aquaculture channel; the humidity sensor is installed in the middle of the aquaculture layer; and the gas concentration sensor and the cleanliness sensor are both installed at the bottom of the aquaculture operating space. A temperature sensor, model DS18B20 (measuring range -55℃ to 125℃), collects cabin temperature data. A humidity sensor, model SHT30 (measuring accuracy ±2% RH), collects cabin humidity data. A carbon dioxide concentration sensor, model MH-Z19 (measuring range 0-5000ppm), collects cabin carbon dioxide concentration data. A cleanliness sensor, model PMS5003, detects cabin dust concentration and microbial content.

[0023] In this application, the mobile monitoring node that can move along a preset path is one or more mobile data acquisition devices equipped with environmental sensors; the mobile data acquisition device is configured to move periodically or in a controlled manner along a physical track or a preset electronic navigation path set in the aquaculture operation space; during the movement, the mobile monitoring node performs supplementary data acquisition on the local microenvironment at different horizontal positions and / or different vertical heights in the aquaculture operation space; the environmental data collected by the mobile monitoring node and the data collected by the fixed sensor node are transmitted together to the collaborative control unit to form a more complete three-dimensional environmental situation information of the aquaculture space.

[0024] The collaborative control unit incorporates a multi-objective weighted optimization algorithm. By calculating the comprehensive environmental deviation value, it outputs precise control commands for the air-cooled module's fan speed, the hydraulic module's water supply, and the exhaust device's fan speed. Specifically: The air-cooled module 3, as the main equipment of the environmental control system, regulates the temperature and humidity of the aquaculture container 3, and achieves automatic regulation through solar power; the method for the collaborative control unit to calculate the target wind speed of the air-cooled module 3 is as follows: ; in, Target wind speed; This represents the temperature normalization deviation. ; The current temperature; The target temperature; This is the overall environmental deviation value; The solar power factor has a range of values. ; Real-time humidity; Target humidity; This represents the humidity normalization bias. ; It is a sign function; (distinguishing between high and low humidity) to ensure that wind speed adjustment takes into account both temperature and humidity.

[0025] Hydraulic module 4 is connected to water supply tank 5. The hydraulic module contains necessary water pumps, valves, and other components to ensure the stable operation of the environmental control system. The method by which the collaborative control unit calculates the target water supply of hydraulic module 4 is as follows: ; in, The target water supply volume; middle, Represents humidity Or cleanliness ; These are the weighting coefficients for the corresponding parameters; This represents the normalized deviation of the corresponding parameter; middle, Represents temperature or carbon dioxide concentration ; The normalized deviation of the corresponding parameter; where It is used to correct the effects of temperature and carbon dioxide concentration on water supply and avoid over-supply.

[0026] Exhaust device 7 uses an exhaust fan; the coordinated control unit calculates the target wind speed of exhaust device 7, focusing on carbon dioxide concentration and cleanliness, using the following method: ; in, The target wind speed for the exhaust device (7); This represents the normalization bias of carbon dioxide concentration. The carbon dioxide concentration weighting coefficient; This is the overall environmental deviation value; The overall environmental adaptability coefficient; This represents the cleanliness normalization deviation.

[0027] pass By associating with other parameters, the system ensures that exhaust does not disrupt temperature and humidity stability. In addition, the system also has a door opening compensation function: when the equipment door is opened, it automatically identifies energy loss and adjusts the parameters of the air cooling, hydraulic, and exhaust devices to compensate for the loss of the cabin environment and energy.

[0028] In this invention, the calculation process for the comprehensive environmental deviation value is as follows: ; Environmental compatibility coefficient Used to reflect the degree of coupling and fit between parameters; The calculation process is as follows: ; in, Represents temperature ,humidity carbon dioxide concentration Or cleanliness ; These are the weighting coefficients for the corresponding parameters (which can be preset according to the type of livestock, such as the weighting coefficient for temperature being higher than that for humidity in chick rearing). This represents the normalized deviation of the corresponding parameter.

[0029] The coordinated control unit also has a built-in conflict arbitration mechanism, the specific working process of which is as follows: Set absolute priorities for environmental parameters for different breeding stages (such as brooding and rearing). For example, during the brooding period, set a "temperature control priority" rule, meaning that temperature control takes precedence over ventilation.

[0030] After calculating the initial instructions for the air-cooled module, hydraulic module, and exhaust system, the system determines whether these instructions will physically cancel each other out or significantly increase energy consumption. For example, "reduce fan speed (heat preservation)" and "increase exhaust fan speed (cooling)" calculated simultaneously are identified as conflicting instructions.

[0031] When a conflict is identified, arbitration is conducted according to the preset priority. Continuing with the previous example, under the "temperature preservation priority" rule during the brooding period, the system will suppress or reduce the magnitude of the "increase exhaust fan speed" command to prioritize temperature stability. Simultaneously, this arbitration process will refer to the real-time power supply mode provided by the energy management unit. If the system is in a high-cost "grid-supplemented power" mode, the arbitration mechanism will tend to generate a combination of commands with lower overall energy consumption.

[0032] The instructions, after being amended by arbitration, are then compensated using a device coupling relationship model before being output to each executing agency.

[0033] Through the conflict arbitration mechanism built into the coordinated control unit, the system ensures that control commands maintain internal consistency and optimal energy efficiency under multiple actuators, multiple environmental objectives, and multiple energy constraints.

[0034] In this invention, the coordinated control unit and the energy management unit are communicatively connected; the energy management unit provides the coordinated control unit with the real-time power supply mode status and the solar power supply coefficient. ; The coordinated control unit adjusts the power supply mode status and the solar power supply coefficient. The value of is dynamically adjusted to modify the parameters or strategies of its internal control algorithm, so that the collaborative control commands can adapt to the real-time energy supply situation while meeting the basic needs of the aquaculture environment.

[0035] Furthermore, when generating coordinated control commands, the coordinated control unit will use the real-time available power provided by the energy management unit. As a constraint; the real-time total power requirement of all actuators in the environmental control unit. satisfy: ; in, For the first Each implementing agency The power of the command at any given moment; This represents the total number of implementing agencies.

[0036] After the environment status is updated, the next cycle begins.

[0037] The prefabricated solar-powered aquaculture cabin system based on multi-source sensing and collaborative control proposed in Embodiment 1 of this invention comprehensively acquires environmental information through a multi-dimensional three-dimensional sensing network, resolves control conflicts between actuators through a multi-variable collaborative intelligent algorithm, and combines modular prefabricated cabins with adaptive solar hybrid power supply to ultimately achieve precise, stable, efficient and low-carbon control of the aquaculture environment.

[0038] Example: An illustration of a control system for raising chicks in a mobile facility during a summer afternoon: Initial state: Time: 2:00 PM in summer, outdoor temperature 35°C; Target species: 14-day-old chicks; Target environment: Temperature 28°C, humidity 65%, carbon dioxide concentration <1200ppm, dust concentration <50μg / m³; Energy status: Solar power mode, power supply coefficient (Sufficient sunshine); Current measured values: temperature 30.5°C (high), humidity 58% (low), carbon dioxide concentration 1500ppm (high), dust concentration 40μg / m³ (normal).

[0039] Workflow of the coordinated control unit: Data fusion between fixed sensors (top of the aisle, middle of the shelf, and bottom of the cabin) and mobile inspection robots confirmed uneven temperature distribution (30.8°C in the upper layer, 30.5°C in the middle layer, and 30.2°C in the lower layer).

[0040] The following calculations are made based on the formulas listed in Embodiment 1 of the present invention: Air-cooled module (cooling and dehumidification): Preliminary calculations indicate that high-speed operation is required (target airflow speed). (to cool down quickly.)

[0041] Hydraulic module (humidification): Preliminary calculations indicate that moderate humidification is required (target water supply). To increase humidity.

[0042] Exhaust system (carbon dioxide emission): Preliminary calculations indicate that medium-speed operation is required (target wind speed). To reduce carbon dioxide concentration.

[0043] When the conflict arbitration mechanism is triggered and processed, the following conflicts are identified: Conflict 1: High-speed air cooling (8m / s) will intensify airflow inside the cabin, causing humidity to drop further (from 58% to below 55%), which directly conflicts with the humidification instruction (which requires increasing humidity).

[0044] Conflict 2: Medium-speed exhaust (6m / s) will discharge a large amount of cooled air, increasing cooling energy consumption and weakening the air-cooling effect, thus offsetting the energy consumption.

[0045] Constraints: Currently powered by solar energy ( Energy is abundant but not unlimited; the total power demand is initially calculated to be 8.5kW, slightly higher than the current available power of 8.2kW.

[0046] The arbitration logic and decision-making process are as follows: Regarding Conflict 1: The arbitration mechanism prioritizes cooling (temperature has the highest priority), but compensates for any deficiencies in humidification commands. The speed was increased from 120L / h to 150L / h to counteract the dehumidification effect caused by air cooling.

[0047] Regarding Conflict 2: The arbitration mechanism suppresses exhaust emission directives to maintain temperature and save energy. The speed was reduced from 6 m / s to 4 m / s, and the exhaust operation mode was changed from continuous to intermittent (run for 2 minutes, stop for 1 minute) to reduce cooling loss while ensuring the minimum number of ventilations.

[0048] For power constraints: fine-tuning of the arbitration mechanism The speed was reduced from 8 m / s to 7.8 m / s, which reduced the total power demand to 8.15 kW, thus meeting the available power constraint.

[0049] The amended order after arbitration: Air-cooled module: air velocity 7.8 m / s, continuous operation Hydraulic module: Water supply capacity 150L / h, continuous operation Exhaust system: wind speed 4m / s, intermittent operation (2 minutes on / 1 minute off) The model predicts that intermittent exhaust will cause temperature fluctuations. Therefore, within 1 minute when the exhaust is closed, the air cooling speed is automatically adjusted to 8 m / s (to compensate for the loss of cooling capacity); within 2 minutes when the exhaust is open, the speed is adjusted back to 7.5 m / s (to avoid overcooling).

[0050] 15 minutes after execution: the temperature dropped to 29.2°C (positive trend), the humidity rose to 61%, and the carbon dioxide concentration dropped to 1350ppm.

[0051] Energy consumption: Average power 7.9kW, all directly supplied by solar energy, without utilizing energy storage.

[0052] System status: The conflict has been resolved, all parameters are approaching their target values, and the total power remains within a safe range.

[0053] This example illustrates that the present invention overcomes the limitations of traditional single-point monitoring by using a three-dimensional sensing network that combines fixed and mobile sensors, achieving global, real-time, and precise perception of the three-dimensional space of the aquaculture environment, thus laying a data foundation for refined regulation.

[0054] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that the elements inherent in a process, method, article, or apparatus that includes a list of elements are included. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element. Additionally, portions of the technical solutions provided in the embodiments of this application that are consistent with the implementation principles of corresponding technical solutions in the prior art have not been described in detail to avoid excessive elaboration.

[0055] While specific embodiments of the present invention have been described above in conjunction with the accompanying drawings, this is not intended to limit the scope of protection of the present invention. Those skilled in the art can make other modifications or variations based on the above description. It is neither necessary nor possible to exhaustively describe all embodiments here. Various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of the present invention are still within the scope of protection of the present invention.

Claims

1. A prefabricated solar-powered aquaculture cabin system based on multi-source sensing and coordinated control, characterized in that, include: Equipment container (1) and aquaculture container (2); The top of the equipment container (1) is integrated with a solar power generation unit, and an energy management unit and a collaborative control unit are provided inside. The energy management unit is used to manage the electrical energy generated by the solar power generation unit and is configured to adaptively switch between three modes: solar power supply, energy storage power supply and grid power supply. The aquaculture cabin (2) is connected to the equipment cabin (1) through a prefabricated interface, forming an aquaculture operation space inside; and an environmental data acquisition unit and an environmental control unit are set up inside the aquaculture operation space; the environmental data acquisition unit is used to collect multi-dimensional environmental data in real time and send it to the collaborative control unit; the collaborative control unit generates collaborative control instructions for multiple actuators in the environmental control unit based on the multi-dimensional environmental data through a coupling analysis model, so as to maintain the dynamic balance of aquaculture environmental parameters.

2. The prefabricated solar-powered aquaculture cabin system based on multi-source sensing and coordinated control according to claim 1, characterized in that, The energy management unit manages the electrical energy generated by the solar power generation unit and is configured to adaptively switch between three modes: solar power supply, energy storage power supply, and grid power supply; specifically: Real-time monitoring and comparison of the output power of the solar power generation unit with the total load demand of the system; When the output power of the solar power generation unit is sufficient to meet the total load demand, the direct solar power supply mode is preferred, and the surplus electrical energy is stored in the energy storage unit; when the output power of the solar power generation unit is insufficient to meet the total load demand, the available energy status of the energy storage unit is determined. If the available energy state of the energy storage unit is higher than the preset guarantee threshold, the energy storage discharge mode is activated, and the energy storage unit replenishes the power deficit; if the available energy state of the energy storage unit is lower than the guarantee threshold, the system automatically switches to grid power replenishment mode, and the external power grid replenishes the power deficit.

3. The prefabricated solar-powered aquaculture cabin system based on multi-source sensing and coordinated control according to claim 1, characterized in that, The environmental data acquisition unit includes a fixedly installed environmental data acquisition module and a mobile monitoring node that can move along a preset path. The fixed-installation environmental data acquisition module includes a temperature sensor, a humidity sensor, a gas concentration sensor, and a cleanliness sensor. The temperature sensor is installed at the top of the aquaculture channel; the humidity sensor is installed in the middle of the aquaculture layer; and the gas concentration sensor and the cleanliness sensor are both installed at the bottom of the aquaculture operating space. The mobile monitoring node that can move along a preset path is one or more mobile data acquisition devices equipped with environmental sensors.

4. The prefabricated solar-powered aquaculture cabin system based on multi-source sensing and coordinated control according to claim 1, characterized in that, The method by which the coordinated control unit calculates the target wind speed of the air-cooled module (3) is as follows: ； in, Target wind speed; This represents the temperature normalization bias. ; The current temperature; The target temperature; This represents the overall environmental deviation value. The solar power factor has a range of values. ; Real-time humidity; Target humidity; This represents the humidity normalization bias. ; It is a symbolic function.

5. The prefabricated solar-powered aquaculture cabin system based on multi-source sensing and coordinated control according to claim 4, characterized in that, The method for calculating the target water supply of the hydraulic module (4) by the coordinated control unit is as follows: ； in, The target water supply volume; middle, Represents humidity Or cleanliness ; These are the weighting coefficients for the corresponding parameters; This represents the normalized deviation of the corresponding parameter; middle, Represents temperature or carbon dioxide concentration ; This represents the normalized deviation of the corresponding parameter.

6. The prefabricated solar-powered aquaculture cabin system based on multi-source sensing and coordinated control according to claim 5, characterized in that, The method by which the coordinated control unit calculates the target wind speed of the exhaust device (7) is as follows: ； in, The target wind speed for the exhaust device (7); This represents the normalization bias of carbon dioxide concentration. The carbon dioxide concentration weighting coefficient; This represents the overall environmental deviation value. The overall environmental adaptability coefficient; This represents the cleanliness normalization deviation.

7. The prefabricated solar-powered aquaculture cabin system based on multi-source sensing and coordinated control according to claim 6, characterized in that, The calculation process for the comprehensive environmental deviation value is as follows: ； The environmental comprehensive adaptability coefficient The calculation process is as follows: ； in, Represents temperature ,humidity carbon dioxide concentration Or cleanliness ; These are the weighting coefficients for the corresponding parameters; This represents the normalized deviation of the corresponding parameter.

8. The prefabricated solar-powered aquaculture cabin system based on multi-source sensing and coordinated control according to claim 4, 5, 6 or 7, characterized in that, The coordinated control unit is communicatively connected to the energy management unit; The energy management unit provides the collaborative control unit with the real-time power supply mode status and the solar power coefficient. ; The coordinated control unit adjusts the power supply mode status and the solar power coefficient based on the power supply mode status. The value of is dynamically adjusted to modify the parameters or strategies of its internal control algorithm, so that the collaborative control command can adapt to the real-time energy supply situation while meeting the basic needs of the breeding environment.

9. The prefabricated solar-powered aquaculture cabin system based on multi-source sensing and coordinated control according to claim 1, characterized in that, When generating coordinated control commands, the coordinated control unit will use the real-time available power provided by the energy management unit. As a constraint; the real-time total power requirement of all actuators in the environmental control unit. satisfy: ； in, For the first Each implementing agency The power of the command at any given moment; The total number of implementing agencies.

10. The prefabricated solar-powered aquaculture cabin system based on multi-source sensing and coordinated control according to claim 1, characterized in that, The aquaculture container (2) also includes at least one of the following structural features: The aquaculture container (2) has one or more rainproof windows (6) on its side wall or end wall. The aquaculture container (2) has independently set personnel door (8) and equipment door (9), and the size of the personnel door (8) is smaller than that of the equipment door (9). A ramp (10) is connected to the outside of the equipment door (9) to facilitate the entry and exit of the equipment. The aquaculture container (2) is divided into multiple aquaculture channels (12) by aquaculture support frame (13); The aquaculture support (13) adopts a multi-layer structure, with aquaculture platform (14) on each layer.

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