Intelligent environmental thermal management system for crop greenhouse

Abstract

A smart environmental thermal management system for a crop greenhouse includes: a CFD simulation analysis module that incorporates internal, boundary, and external conditions of the greenhouse to simulate the heat transfer field and obtain at least one full-area model of the greenhouse; an IoT sensing module that collects and organizes real-time environmental parameters of the greenhouse; a zoning planning AI module that receives the full-area model of the greenhouse and the real-time environmental parameters, and divides the greenhouse into multiple zoning management spaces through deep machine learning; multiple environmental control devices that are distributed at different heights and areas of the greenhouse to regulate the greenhouse environmental state; and a thermal management decision host that receives the zoning management spaces and the real-time environmental parameters, and performs zoning-specific control of the environmental control devices in each zoning management space to reduce energy waste and improve the stability of the crop growth environment.

Claims

1. An intelligent environmental thermal management system for a crop greenhouse, comprising: A CFD simulation analysis module is used to simulate the heat transfer and flow field of a greenhouse, including internal conditions, boundary conditions, and external conditions, to obtain at least one full-area model of the greenhouse, which includes data on the temperature field, airflow field, and humidity field within the greenhouse; an IoT sensing module collects and organizes real-time environmental parameters of the greenhouse, including temperature, humidity, carbon dioxide concentration, wind speed, and light intensity. This IoT sensing module is connected to a plurality of sensors distributed at different heights and areas within the greenhouse, including temperature sensors, humidity sensors, carbon dioxide concentration sensors, wind speed sensors, and light intensity sensors; a zoning planning AI module receives... The CFD simulation analysis module inputs the greenhouse full-area model and the real-time environmental parameters of the IoT sensing module. The zoning planning AI module divides the greenhouse into multiple zoning management spaces through deep machine learning. Multiple environmental control devices are distributed at different heights and areas of the greenhouse to regulate the greenhouse environmental conditions. A thermal management decision host receives the zoning management spaces from the zoning planning AI module and the real-time environmental parameters from the IoT sensing module, and based on the input control conditions of the whole area or a specified area, it predicts the uncertainty indicators, including temperature, humidity, and carbon dioxide concentration, in real time for the next six hours, and performs separate control of the environmental control devices in each zoning management space.

2. The intelligent environmental thermal management system for a crop greenhouse as described in claim 1, wherein the internal conditions of the greenhouse include the distribution location of the environmental control device, the boundary conditions of the greenhouse include the heat source, cold source and ventilation conditions of the greenhouse boundary, and the form and spatial dimensions of the greenhouse, and the external conditions of the greenhouse include the geographical location and historical meteorological data of the greenhouse.

3. The intelligent environmental thermal management system for a crop greenhouse as described in claim 1, wherein the environmental control device includes at least one of a fan, ventilation window, skylight, shade net, wet curtain, sprayer or heating device.

4. The intelligent environmental thermal management system for a crop greenhouse as described in claim 3, wherein the control methods of the environmental control device include the on / off status and speed control of the fan, the opening angle control of the ventilation window or skylight, the shading ratio control of the shading net, the water flow control of the wet curtain, the water mist flow control of the sprayer, or the output power control of the heating device.

5. The intelligent environmental thermal management system for a crop greenhouse as described in claim 1, wherein the IoT sensing module includes at least one meteorological information receiving device, which is used to receive real-time and historical meteorological information of the location of the greenhouse, wherein the meteorological information includes at least temperature, solar radiation intensity, wind speed, rainfall and extreme weather events, and inputs it to the thermal management decision host, so that the thermal management decision host can predict the future trend of environmental parameters in each zone, thereby optimizing the control strategy of the environmental control device.

6. The intelligent environmental thermal management system for a crop greenhouse as described in claim 5, wherein the zoning planning AI module dynamically adjusts the zoning management space of the greenhouse according to changes in sunlight, so as to improve the adaptability of zoning control to changes in light and thermal environment.

7. The intelligent environmental thermal management system for crop greenhouses as described in claim 1, wherein the thermal management decision host further has a closed-loop feedback mechanism, which automatically adjusts the model weights of the zoning planning AI module or the thermal management decision host by continuously comparing the difference between the simulation data of the CFD simulation analysis module and the measured data of the IoT sensing module, so as to adaptively correct the control scheme and output the preferred scheme.

8. The intelligent environmental thermal management system for a crop greenhouse as described in claim 1, wherein the IoT sensing module includes at least one lens device for capturing crop growth images and inputting them into the IoT sensing module, and the IoT sensing module combines known crop growth stage curve data and transmits it to the zoning planning AI module and the thermal management decision host, thereby identifying the current growth stage of the crop and adjusting the control scheme of the environmental control device.

9. The intelligent environmental thermal management system for a crop greenhouse as described in claim 1, wherein the thermal management decision host is provided with a safety constraint layer mechanism, which limits the range and rate of change of output control parameters based on the equipment specifications of the environmental control device and the rate of change of the heat transfer flow field, and smooths the control commands to avoid over-operation of the environmental control device or causing severe environmental fluctuations.

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