Climate simulation device for flower planting and simulation method thereof

Abstract

The invention discloses a climate simulation device for flower planting and a simulation method thereof. The climate simulation device comprises a culture shelf, a nutrient solution is movably connected to the interior of a culture dish, an LED growth lamp is fixedly connected to the interior of the culture shelf, a sensor is fixedly connected to the bottom of the culture dish, and a controller is fixedly connected to one side of the culture shelf. According to the climate simulation device for flower planting and the simulation method thereof, through intelligent management, the flower production efficiency and the resource utilization rate are greatly improved, the production cost is reduced, the cooperative development of upstream and downstream of a flower industry chain is driven, and the climate simulation device and the simulation method thereof have good application prospects from planting, processing, packaging to logistics transportation. All links are benefited from popularization and application of the intelligent agricultural technology, an intelligent agricultural ecosphere is formed, posts of intelligent agricultural greenhouse operation, maintenance, data analysis and the like are provided, new employment opportunities are provided for farmers, meanwhile, the farmers are encouraged to participate in intelligent agricultural entrepreneurship, and diversification and intelligent transformation of rural economy are promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of climate simulation, and specifically to a climate simulation device for flower cultivation and its simulation method. Background Art

[0002] With the continuous advancement of the agricultural modernization process and the continuous growth of consumers' demand for green, organic, and high-quality agricultural products, intelligent greenhouses, as the forefront of modern agricultural technology innovation, are showing broad development prospects and unlimited potential. Although intelligent greenhouses have a broad market prospect under the background of agricultural modernization, they still face a series of specific challenges in the actual development process.

[0003] At the technical level, there are problems such as insufficient accuracy of sensors and intelligent devices, great difficulty in technology integration, and imperfect data fusion and analysis technologies. In terms of data collection, difficulties such as limited data sources, great collection difficulty, and inconsistent data formats and structures are faced. Socially, the frequent occurrence of extreme weather seriously affects the normal growth of flower plants, and how to achieve reasonable control is also a major problem. In the market aspect, the market awareness and acceptance of intelligent agricultural greenhouses are limited, and the business model and profit model are not yet mature. In addition, the shortage of professional talents, especially the lack of professional talents with relevant knowledge and skills, is also an important factor restricting the development of intelligent agricultural greenhouses. These problems have more or less restricted the intelligent, efficient, and sustainable development of agricultural production. Summary of the Invention

[0004] (I) Technical Problems to be Solved The purpose of the present invention is to provide a climate simulation device for flower cultivation and its simulation method to solve the problems mentioned in the above background art, that is, at the technical level, there are problems such as insufficient accuracy of sensors and intelligent devices, great difficulty in technology integration, and imperfect data fusion and analysis technologies, and in terms of data collection, difficulties such as limited data sources, great collection difficulty, and inconsistent data formats and structures are faced, and socially, the normal growth of flower plants is seriously affected by the frequent occurrence of extreme weather.

[0005] (II) Technical Solutions To achieve the above purpose, the present invention provides the following technical solutions: A climate simulation device for flower cultivation, including a cultivation rack, inside which a water tower is fixedly connected, a water delivery pipe is fixedly connected inside the cultivation rack, the water tower is communicated with the water delivery pipe, a drainage system is fixedly connected to the bottom of the cultivation rack, a culture dish is fixedly connected inside the cultivation rack, a nutrient solution is movably connected inside the culture dish, an LED growth lamp is fixedly connected inside the cultivation rack, a sensor is fixedly connected to the bottom of the culture dish, and a controller is fixedly connected to one side of the cultivation rack; A simulation method for a climate simulation device for flower cultivation, comprising the following steps: Step 1: Improve flower production efficiency; Step 2: Optimize resource utilization; Step 3: Promote the increase of flower farmers' income and the intelligent transformation of rural economy; Step 4: Product construction; Step 5: Introduction to climate simulation technology; Step 6: Functions of the simulation system; Step 7: Innovative technologies for products, algorithms, methods, detection, and materials.

[0006] Preferably, to improve flower production efficiency, cooperate with the "Mechanical Assistance for Agriculture" summer social practice team, rely on the intelligent agricultural greenhouse technology system, provide flower farmers with comprehensive technical support covering science and technology training, intelligent early warning and prevention and control of pests and diseases, intelligent irrigation and fertilization, etc. Through training, improve the farmers' proficiency in the intelligent agricultural greenhouse operation system, and master scientific planting management and pest prevention knowledge. The project will focus on introducing and promoting new crop varieties with strong pest and disease resistance, combined with the intelligent monitoring and early warning system, to achieve early detection, early prevention, and early treatment of pests and diseases, and it is expected to reduce the losses caused by pests and diseases to flowers by more than 60%, significantly improving the yield and quality of crops.

[0007] Preferably, build the "Thousands of Miles of Greenhouses" intelligent agricultural greenhouse, use Internet of Things technology to collect environmental data in the greenhouse in real time, and through the deployment of various advanced sensor devices, be able to continuously monitor key parameters such as temperature, humidity, light intensity, soil fertility, and carbon dioxide concentration in the greenhouse, ensuring that these core growth conditions are always in the most suitable state for the growth of agricultural products. Use advanced big data analysis algorithms to deeply mine and intelligently analyze these data. This process can not only accurately predict the growth cycles of different flowers, but also scientifically infer the best picking time points of various crops, thus effectively avoiding the quality decline and economic losses caused by premature or late picking.

[0008] Preferably, through intelligent management, the flower production efficiency and resource utilization rate have been greatly improved, and the production cost has been reduced. The project will drive the coordinated development of the upstream and downstream of the flower industry chain. From planting, processing, packaging to logistics transportation, all links will benefit from the popularization and application of intelligent agricultural technology, forming an intelligent agricultural ecosystem. By cooperating with local farmers, the project will provide positions such as the operation, maintenance, and data analysis of intelligent agricultural greenhouses, providing new employment opportunities for farmers, and at the same time encouraging farmers to participate in intelligent agricultural entrepreneurship, promoting the diversification and intelligent transformation of rural economy. Through the popularization and application of intelligent agricultural technology, improve farmers' production skills and market awareness, enabling them to better adapt to market demand, increase the added value of flowers, and thus significantly increase farmers' income and promote the all-round revitalization of the countryside.

[0009] Preferably, the structure of an innovative intelligent greenhouse is adopted. According to the needs of different crops, the fertilizer requirements, and the soil environment, water and fertilizer are automatically detected. At the same time, an external water storage device is installed to increase the rainwater storage capacity. The automatic irrigation system can monitor environmental factors such as soil humidity, temperature, and light in real time through sensors, and can automatically adjust the irrigation volume and temperature according to the growth needs of plants. For example, the system can automatically start irrigation when the soil humidity is lower than the set value and maintain the optimal growth environment through a temperature control device to ensure the healthy growth of crops. The project adopts a vertical three-dimensional structure, which can not only reduce the land utilization rate but also effectively avoid the impact of extreme weather on the growth of plants. It has a unique lighting structure and water resource structure, and improves the utilization rate of water resources through verticalization. Moreover, the internal devices of the greenhouse can be displayed on the Pengcheng Wanli APP through artificial intelligence technology and the temperature, humidity, and light intensity can be directly controlled on the mobile phone. The entire greenhouse uses a sterile culture solution to cultivate flower plants, greatly reducing the impact of pests on plants. In addition, the LED growth lights used can supplement sufficient light conditions, enabling plants to fully utilize light for their own photosynthesis at night to achieve the effect of increasing yield and obtaining more and better-quality flowers in a shorter time.

[0010] Preferably, a set of intelligent agriculture monitoring system based on the Internet of Things is designed and implemented. The system uses ESP32 as the main control board and is equipped with a variety of sensors to collect environmental parameters related to the growth environment of crops, such as temperature, humidity, light intensity, soil humidity, and carbon dioxide concentration in real time. Then, the collected data is uploaded to the Bafa Cloud Internet of Things platform through the MQTT protocol. Finally, remote monitoring and automatic early warning processing of agriculture are realized through the Web end and the WeChat mini-program end. The system first uses ESP32 as the system data acquisition terminal to connect sensors such as temperature, humidity, light intensity, soil humidity, and carbon dioxide to realize real-time data acquisition of crop growth environment parameters. Then, the collected data is uploaded to the Bafa Cloud Internet of Things platform through the MQTT protocol. Visualization display, remote control of equipment, and automatic early warning processing of data are realized through the Web end and the WeChat mini-program. Visualization display is to present the environmental parameters and early warning event information of the agricultural area in the form of charts or line graphs in front of users, so that users can obtain data information more quickly and intuitively. Users can perform corresponding operations on the Web end or the mini-program end according to the early warning events, remotely control the equipment to adjust the environmental parameters, and make the crops grow in the most suitable environment.

[0011] Preferably, the software framework includes a hardware module, Bafa Cloud Internet of Things platform, PC side and WeChat mini-program side. The hardware module mainly consists of an ESP32 module, a sensor module and a device control module. The specific working process is that the ESP32 data acquisition terminal is used to connect sensors such as temperature and humidity sensors, light intensity sensors, soil humidity sensors and carbon dioxide sensors to realize data acquisition of crop growth environment parameters. Then the acquired data is transmitted to the Bafa Cloud Internet of Things platform. Finally, remote monitoring, visual display and automatic early warning processing of agriculture are realized through the Web side and the WeChat mini-program. The control and detection of temperature and humidity are realized through single-chip microcomputer (STC89C52, STM32F103C8T6) technology. The DHT11 is used to measure the ambient temperature and humidity. When the temperature and humidity are not within the set upper and lower limits, corresponding heating, cooling, humidifying and dehumidifying operations are carried out, and sound and light alarms are given. The upper and lower limits of temperature and humidity can be set through buttons, and heating, cooling, humidifying and dehumidifying can be manually controlled, and the mode can be switched.

[0012] Preferably, by installing soil moisture sensors and climate monitoring devices, the environmental changes are monitored in real time, and the irrigation and temperature control systems are automatically adjusted. The irrigation system is automatically turned on or off according to the soil moisture. The single-chip microcomputer technology is used to reasonably control the temperature and humidity within a certain range. A new type of light-transmitting material is used to automatically adjust the light transmittance according to the light intensity and temperature changes to optimize photosynthesis and the temperature in the greenhouse. Combined with the temperature and humidity sensors, fans and heaters, a closed-loop control system is created, which can automatically adjust the climate conditions inside the greenhouse according to the crop needs. An adaptive control system is designed to adjust the irrigation amount and temperature control parameters according to the real-time feedback. When the soil is detected to be too wet, the system can automatically reduce the irrigation frequency, and vice versa. This dynamic adjustment can effectively prevent water resource waste. Advanced optimization technologies such as the particle swarm optimization algorithm are used to find the optimal irrigation scheduling plan. These algorithms can comprehensively consider various factors, such as water source conditions, crop growth stages and weather changes, to maximize the utilization efficiency of water resources. The environmental data such as temperature, humidity, light intensity and CO2 concentration in the greenhouse are monitored by sensors and transmitted to the cloud platform in real time. Farmers can view the environmental changes in the greenhouse through their smartphones or computer terminals and adjust the greenhouse conditions through remote control devices. When the temperature is too high, the system can automatically start the ventilation equipment, or enable the heater when the temperature is too low. According to the feedback of the soil moisture sensor, the irrigation amount is automatically adjusted to avoid over-irrigation or water shortage, thereby improving the utilization efficiency of water resources and reducing waste. After separately performing spatial simulations on the precipitation amount and precipitation probability and then conducting surface synthesis, the influence of precipitation probability on daily-scale precipitation simulation is fully considered, and at the same time, the high-precision advantage of HASM is fully utilized to achieve high-precision and high-accuracy simulation of daily precipitation data. An anti-collision technology structure is improved for the greenhouse structure. When an object collides, it can absorb energy, greatly reducing the impact force on the rest of the greenhouse, thereby reducing the damage to the entire greenhouse. It can share and buffer external forces and reduce the stress borne by the main structure during collision, thus extending the service life of the structure.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: Through intelligent management, the flower production efficiency and resource utilization rate are greatly improved, the production cost is reduced, which will drive the coordinated development of the upstream and downstream of the flower industry chain. From planting, processing, packaging to logistics transportation, each link will benefit from the popularization and application of smart agriculture technology, forming a smart agriculture ecosystem. It will provide positions such as operation, maintenance and data analysis of smart agriculture greenhouses, providing new employment opportunities for farmers. At the same time, farmers are encouraged to participate in smart agriculture entrepreneurship, promoting the diversification and intelligent transformation of rural economy. Through the popularization and application of smart agriculture technology, the production skills and market awareness of farmers are improved, enabling them to better adapt to market demands, increasing the added value of flowers, thereby significantly increasing farmers' income and promoting the all-round revitalization of the countryside. Description of the Drawings

[0014] Figure 1 is a three-dimensional structural schematic diagram of the device of the present invention; Figure 2 is a three-dimensional internal structural schematic diagram of the present invention; Figure 3 is a process structural schematic diagram of the present invention; Figure 4 is a software framework structural schematic diagram of the present invention; Figure 5 is an Internet of Things technology structural schematic diagram of the present invention. Specific embodiments

[0015] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0016] Please refer to Figure 1 , Figure 2 , Figure 3 , Figure 4 and Figure 5, the present invention provides a technical solution: applying high-tech innovative technologies to improve the production efficiency of flowers, using advanced temperature, humidity and light sensors to accurately monitor temperature, humidity, light intensity, etc. and transmit them to a mobile phone APP for control, realizing automatic irrigation, automatic temperature control and automatic daylighting, automatically adjusting the irrigation amount and temperature according to the growth needs of plants by using special algorithms, adopting a vertical structure to improve resource utilization rate, combining HASM technology to accurately monitor the climate and precipitation in different regions to accurately control temperature and humidity. Various high-quality and unique features enable our products to have a greater competitive advantage in the market, effectively occupy a large potential market, and the good product quality and excellent service can support the high price of the product. By installing soil moisture sensors and climate monitoring equipment, the environmental changes are monitored in real time, and the irrigation and temperature control systems are automatically adjusted. The irrigation system is automatically turned on or off according to the soil moisture. The single-chip microcomputer technology is used to reasonably control the temperature and humidity within a certain range. A new type of light-transmitting material is used to automatically adjust the light transmittance according to the light intensity and temperature changes to optimize photosynthesis and the temperature in the greenhouse. Combining temperature and humidity sensors, fans and heaters, a closed-loop control system is created, which can automatically adjust the climate conditions inside the greenhouse according to the needs of the crops. An adaptive control system is designed to adjust the irrigation amount and temperature control parameters according to real-time feedback. When the soil is detected to be too wet, the system can automatically reduce the irrigation frequency, and vice versa. This dynamic adjustment can effectively prevent water resource waste. Advanced optimization technologies such as the particle swarm optimization algorithm are used to find the optimal irrigation scheduling plan. These algorithms can comprehensively consider various factors such as water source conditions, crop growth stages and weather changes to maximize the utilization efficiency of water resources. The environmental data such as temperature, humidity, light intensity and CO2 concentration in the greenhouse are monitored by sensors and transmitted to the cloud platform in real time. Farmers can view the environmental changes in the greenhouse through a smart phone or a computer terminal and adjust the greenhouse conditions through remote control devices. When the temperature is too high, the system can automatically start the ventilation equipment, or enable the heater when the temperature is too low. According to the feedback of the soil moisture sensor, the irrigation amount is automatically adjusted to avoid over-irrigation or water shortage, thereby improving the utilization efficiency of water resources and reducing waste. After separately performing spatial simulations on precipitation amount and precipitation probability and then conducting surface synthesis, fully considering the influence of precipitation probability on daily-scale precipitation simulation, and at the same time making full use of the high-precision advantage of HASM, high-precision and high-accuracy simulation of daily precipitation data is realized. An anti-collision technology structure is improved for the greenhouse structure. When an object collides, it can absorb energy, greatly reducing the impact force on the rest of the greenhouse, thereby reducing the damage to the entire greenhouse, being able to share and buffer external forces, reducing the stress borne by the main structure during collision, and thus extending the service life of the structure.

[0017] Finally, it should be noted that the above content is only used to illustrate the technical solution of the present invention, rather than limiting the protection scope of the present invention. Any simple modification or equivalent replacement made by those of ordinary skill in the art to the technical solution of the present invention shall not depart from the essence and scope of the technical solution of the present invention.

Claims

1. A climate simulation device for flower cultivation, comprising a culture rack (1), characterized in that: The culture rack (1) is fixedly connected to a water tower (2) inside, the culture rack (1) is fixedly connected to a water pipe (3) inside, the water tower (2) is in communication with the water pipe (3), the bottom of the culture rack (1) is fixedly connected to a drainage system (4), the culture rack (1) is fixedly connected to a culture dish (5) inside, the culture dish (5) is movably connected to a nutrient solution (6), the culture rack (1) is fixedly connected to an LED growth lamp (7), the bottom of the culture dish (5) is fixedly connected to a sensor (8), and one side of the culture rack (1) is fixedly connected to a controller (9); A simulation method of a climate simulation device for flower planting, comprising the following steps: Step 1: Improve flower production efficiency; Step 2: Optimize resource utilization; Step 3: Promote the increase of flower farmers’ income and the intelligent transformation of rural economy; Step 4: Product construction; Step 5: Introduction to climate simulation technology; Step 6: Simulate system functions; Step 7: Innovative technologies for products, algorithms, methods, testing and materials.

2. A simulation method for a climate simulation device for flower planting according to claim 1, characterized in that: To improve the efficiency of flower production, we cooperate with the "Mechanical Assisted Agriculture" summer social practice team and rely on the smart agricultural greenhouse technology system to provide flower farmers with comprehensive technical support including scientific and technological training, intelligent early warning and prevention of pests and diseases, intelligent irrigation and fertilization. Through training, farmers' proficiency in the smart agricultural greenhouse operating system will be improved, and they will master scientific planting management and pest and disease prevention knowledge. The project will focus on introducing and promoting new crop varieties with strong disease and pest resistance, combined with intelligent monitoring and early warning systems to achieve early detection, early prevention and early treatment of pests and diseases. It is expected to reduce the losses of flowers caused by pests and diseases by more than 60%, and significantly increase crop yield and quality.

3. A simulation method for a climate simulation device for flower planting according to claim 1, characterized in that: By building the "Pengcheng Wanli" smart agricultural greenhouse, the Internet of Things technology is used to collect real-time environmental data inside the greenhouse. By deploying various advanced sensor equipment, key parameters such as temperature, humidity, light intensity, soil fertility, and carbon dioxide concentration in the greenhouse can be continuously monitored to ensure that these core growth conditions are always in the most suitable state for the growth of agricultural products. Advanced big data analysis algorithms are used to conduct in-depth mining and intelligent analysis of these data. This process can not only accurately predict the growth cycle of different flowers, but also scientifically infer the best picking time for various crops, thereby effectively avoiding quality degradation and economic losses caused by picking too early or too late.

4. A simulation method for a climate simulation device for flower planting according to claim 1, characterized in that: Through intelligent management, the efficiency of flower production and resource utilization have been greatly improved, and production costs have been reduced. The project will drive the coordinated development of the upstream and downstream of the flower industry chain. From planting, processing, packaging to logistics and transportation, all links will benefit from the popularization and application of smart agricultural technology to form a smart agricultural ecosystem. Through cooperation with local farmers, the project will provide jobs such as smart agricultural greenhouse operation, maintenance, and data analysis to provide farmers with new employment opportunities. At the same time, it will encourage farmers to participate in smart agricultural entrepreneurship and promote the diversification and intelligent transformation of the rural economy. Through the popularization and application of smart agricultural technology, farmers' production skills and market awareness will be improved, so that they can better adapt to market demand and increase the added value of flowers, thereby significantly increasing farmers' income and promoting the comprehensive revitalization of rural areas.

5. A simulation method for a climate simulation device for flower planting according to claim 1, characterized in that: The innovative smart greenhouse structure is adopted to automatically detect water and fertilizer according to the needs of different crops, fertilizer requirements and soil environment. At the same time, it is equipped with external water storage equipment to increase rainwater storage. The automatic irrigation system monitors soil moisture, temperature, light and other environmental factors in real time through sensors, and can automatically adjust the irrigation amount and temperature according to the growth needs of plants. For example, the system can automatically start irrigation when the soil moisture is lower than the set value, and maintain the best growth environment through the temperature control device to ensure the healthy growth of crops. The project adopts a vertical three-dimensional structure, which can not only reduce the utilization rate of land, but also effectively avoid the impact of extreme weather on plant growth. It has a unique lighting structure and water resource structure, and improves the utilization rate of water resources through verticalization. The internal devices of the greenhouse can be displayed on the Pengcheng Wanli APP through artificial intelligence technology, and the temperature, humidity and light intensity can be directly controlled on the mobile phone. The entire greenhouse uses sterile culture solution to cultivate flowers and plants, which greatly reduces the impact of pests on plants. The LED growth lights used can supplement sufficient lighting conditions so that plants can make full use of light for their own photosynthesis at night to achieve the effect of increasing yields and obtaining more and better quality flowers in a shorter time.

6. A simulation method for a climate simulation device for flower planting according to claim 1, characterized in that: A set of smart agricultural monitoring system based on the Internet of Things was designed and implemented. The system uses ESP32 as the main control board and is equipped with a variety of sensors to collect environmental parameters such as temperature and humidity, light intensity, soil moisture, and carbon dioxide concentration related to the crop growth environment in real time. The collected data is then uploaded to the Bafa Cloud Internet of Things platform through the MQTT protocol. Finally, remote monitoring and automatic early warning processing of agriculture are realized through the Web and WeChat applet. The system first uses ESP32 as the system data acquisition terminal to connect sensors such as temperature and humidity, light intensity, soil moisture, and carbon dioxide to realize real-time data collection of crop growth environment parameters. The collected data is then uploaded to the Bafa Cloud Internet of Things platform through the MQTT protocol. The data is visualized, equipment is remotely controlled, and automatic early warning processing is realized through the Web and WeChat applet. The visualization display is to present the environmental parameters of the agricultural area and the early warning event information in the form of charts or line graphs to users, so that users can obtain data information more quickly and intuitively. Users can perform corresponding operations on the Web or applet according to the early warning events, and remotely control the equipment to adjust the environmental parameters to put crops in the most suitable environment for growth.

7. A simulation method for a climate simulation device for flower planting according to claim 1, characterized in that: The software framework includes hardware modules, Bafa Cloud IoT platform, PC side and WeChat applet side. The hardware modules are mainly ESP32 modules, sensor modules and equipment control modules. The specific workflow is to use the ESP32 data acquisition terminal to connect sensors such as temperature and humidity, light intensity, soil moisture and carbon dioxide to realize data collection of crop growth environment parameters, and then transmit the collected data to the Bafa Cloud IoT platform. Finally, remote monitoring, visualization and automatic early warning processing of agriculture are realized through the Web side and WeChat applet. The temperature and humidity are controlled and detected through the single-chip microcomputer (STC89C52, STM32F103C8T6) technology, and the ambient temperature and humidity are measured through DHT11. When the temperature and humidity are not within the set upper and lower limits, the corresponding heating, cooling, humidification and dehumidification are carried out, and sound and light alarms are issued. The upper and lower limits of temperature and humidity are set by buttons, and the heating, cooling, humidification and dehumidification and mode switching can be manually controlled.

8. A simulation method for a climate simulation device for flower planting according to claim 1, characterized in that: By installing soil moisture sensors and climate monitoring equipment, environmental changes can be monitored in real time, irrigation and temperature control systems can be automatically adjusted, and irrigation systems can be automatically turned on or off according to soil moisture. Single-chip microcomputer technology can be used to reasonably control temperature and humidity within a certain range. New light-transmitting materials can be used to automatically adjust light transmittance according to light intensity and temperature changes to optimize photosynthesis and greenhouse temperature. Temperature and humidity sensors, fans and heaters can be combined to create a closed-loop control system that can automatically adjust the climate conditions inside the greenhouse according to crop needs. An adaptive control system can be designed to adjust irrigation volume and temperature control parameters based on real-time feedback. When the soil is detected to be too wet, the system can automatically reduce the frequency of irrigation, and vice versa. This dynamic adjustment can effectively prevent waste of water resources. The particle swarm optimization algorithm is used for advanced optimization technology to find the optimal irrigation scheduling solution. These algorithms can comprehensively consider multiple factors, such as water source conditions, crop growth stages and weather changes, maximize the utilization efficiency of water resources, monitor environmental data such as temperature, humidity, light intensity, CO2 concentration in the greenhouse through sensors, and transmit them to the cloud platform in real time. Farmers can view environmental changes in the greenhouse through smartphones or computers, and adjust greenhouse conditions through remote control devices. When the temperature is too high, the system can automatically start the ventilation equipment, or enable the heater when the temperature is too low. According to the feedback from the soil moisture sensor, the irrigation amount is automatically adjusted to avoid over-irrigation or insufficient water, thereby improving the utilization rate of water resources and reducing waste. After spatial simulation of precipitation and precipitation probability, surface synthesis is performed separately, fully considering the impact of precipitation probability on daily precipitation simulation, and making full use of the high-precision advantage of HASM to achieve high-precision and high-accuracy simulation of daily precipitation data. For the greenhouse structure, an anti-collision technology structure is improved. When an object collides, it can absorb energy, which greatly reduces the impact force on the rest of the greenhouse, thereby reducing damage to the entire greenhouse. It can share and buffer external forces, reduce the stress on the main structure during collision, and thus extend the service life of the structure.

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