Artificial climate cabinet and plant maintenance method

Abstract

The invention relates to the field of plant maintenance, in particular to an artificial climate cabinet and a plant maintenance method. Comprising a plurality of layers of adjustable plant shelves, a circulating air inlet channel and a circulating air outlet channel; a breathable material layer is arranged on the surface of the plant shelf, and the circulating air inlet channel and the air outlet channel form closed-loop airflow through the flow guide assembly. The environment control module is integrated with a temperature control unit, a humidity control unit, an illumination control unit and a carbon dioxide concentration control unit; the coordinated regulation system is used for acquiring temperature, humidity, illumination and carbon dioxide concentration data in real time through a multi-parameter sensor, and dynamically regulating operation parameters of each control unit based on a preset algorithm; and the disease management module comprises an isolation cover assembly and a non-contact physiological monitoring device. According to the invention, precise control of the growth environment of flower plants and effective isolation and management of sick plants are realized.

Description

Technical Field

[0001] The present invention relates to the field of plant maintenance, and in particular to an artificial climate cabinet and a plant maintenance method. Background Art

[0002] With the rapid development of the floriculture industry and the increasing demand for controlled flower cultivation environments, artificial climate cabinets, as devices that accurately simulate natural environments, have gradually become a vital tool for research institutions, flower cultivation companies, and home gardening enthusiasts. Traditional artificial climate cabinets primarily control basic environmental parameters such as temperature, humidity, and light to meet the growth needs of flower plants. However, these devices still have many shortcomings in practical application. First, the environmental control accuracy of traditional climate cabinets is limited, making it difficult to meet the precise requirements of different flower species for parameters such as temperature, humidity, light, and carbon dioxide concentration. For example, tropical and temperate flowers have significantly different temperature and humidity tolerances, and traditional equipment often cannot achieve precise stratification adjustment, resulting in uneven growth environments for flowers, affecting their growth quality and yield. Second, existing climate cabinets lack the ability to care for diseased plants. Flower plants are vulnerable to pests and diseases during their growth process, and traditional equipment lacks effective isolation and disease management functions. This inability to provide a targeted treatment environment for diseased plants can easily lead to the spread of diseases, compromising the health of the entire cultivation system. Furthermore, traditional climate cabinets lack intelligence, lacking features like remote monitoring, data traceability, and personalized maintenance plans. These capabilities make them unable to meet the demands of modern flower cultivation for efficient management and precise maintenance. Therefore, developing a highly intelligent artificial climate cabinet that can precisely control environmental parameters and mitigate plant disease is crucial for improving flower cultivation efficiency, ensuring healthy flower growth, and promoting the sustainable development of the flower industry. Summary of the Invention

[0003] The object of the present invention is to provide an artificial climate cabinet and a plant maintenance method to solve the above-mentioned existing problems.

[0004] To achieve the above object, the present invention adopts the following technical solutions:

[0005] An artificial climate cabinet, comprising:

[0006] The cabinet module includes a multi-layer adjustable plant shelf, a circulating air inlet channel, and a circulating air outlet channel; the surface of the plant shelf is provided with an air-permeable material layer, and the circulating air inlet channel and the air outlet channel form a closed-loop airflow through a guide component;

[0007] An environmental control module, integrating a temperature control unit, a humidity control unit, a light control unit, and a carbon dioxide concentration control unit, wherein the temperature control unit includes a cooling / heating dual-mode switching structure, and the humidity control unit includes an ultrasonic humidifier and a condensing dehumidifier;

[0008] The coordinated regulation system collects temperature, humidity, light and carbon dioxide concentration data in real time through multi-parameter sensors, and dynamically adjusts the operating parameters of each control unit based on a preset algorithm;

[0009] The disease management module includes an isolation cover assembly and a non-contact physiological monitoring device. The isolation cover assembly includes a transparent sealed cover body, an independent circulation purification system, and a microenvironment adjustment unit. The microenvironment adjustment unit includes a local temperature and humidity controller and a directional lighting device.

[0010] The remote interactive platform is used to monitor the environmental parameters and plant growth status in the cabinet. The remote interactive platform has a built-in flower growth database and intelligent diagnosis model.

[0011] Optionally, the disease management module further includes:

[0012] Spectral analysis device, used to detect the reflectance spectrum of plant leaves and generate a chlorophyll content change trend chart;

[0013] An odor sensor array is arranged inside the isolation cover to capture changes in volatile organic compound concentrations;

[0014] A deep learning processor is used to perform multimodal fusion analysis of spectral data, image features, and odor information, and output disease type identification results and treatment strategies. The treatment strategy includes the coordinated adjustment of ultraviolet intensity and humidity parameters in the isolation cover.

[0015] Optionally, the isolation cover assembly is provided with:

[0016] Modular installation interface, detachable and connected to any shelf in the cabinet module;

[0017] Negative pressure maintenance system, used to control the balance of inlet and outlet air volume through differential pressure sensors to prevent pathogens from overflowing;

[0018] Directional lighting device, used to adjust the ratio of red light to ultraviolet light according to the type of disease, inhibiting the reproduction of pathogens;

[0019] The independent circulation purification system is connected to the main circulation air duct of the cabinet module through a three-way valve, and is used to filter pathogens during gas exchange inside and outside the isolation cover.

[0020] Optionally, the coordinated regulation system includes:

[0021] Circadian rhythm simulator, used to periodically adjust light intensity and spectral composition according to a preset program, simulating the gradual start and stop of natural light;

[0022] Stress response module, which can generate storm simulation mode and drought simulation mode;

[0023] Energy consumption optimization unit, used to dynamically allocate cooling / heating power according to real-time load and adjust light source energy efficiency. Light source energy efficiency adjustment includes reducing LED power when there is sufficient light and compensating for natural light intensity.

[0024] Optionally, the illumination control unit includes: a spectrum-adjustable LED array supporting independent proportions of red light, blue light, and far-red light;

[0025] Light intensity compensation device, used to automatically adjust the irradiation angle and light spot coverage density according to the height of the plant canopy;

[0026] A photoperiod controller is used to avoid plant light shock by gradually changing the light intensity, wherein the rate of change of the gradually changing light intensity is associated with the plant species.

[0027] Optionally, the remote interactive platform includes:

[0028] Data tracing module, used to record the correlation curve between historical environmental parameters and plant growth indicators, and generate exportable analysis reports;

[0029] Voice control command module, used to support voice adjustment of environmental parameters and query of disease treatment solutions;

[0030] The data tracing module is linked to the cloud server to predict flowering time based on historical data and generate maintenance reminders.

[0031] Optionally, also include:

[0032] Wastewater and waste gas recycling treatment system, used to purify and recycle wastewater and waste gas generated in the cabinet module;

[0033] a root monitoring subsystem consisting of a capacitive moisture sensor and an impedance analyzer placed in the culture matrix;

[0034] Nutrient solution supply device, used to dynamically adjust nitrogen, phosphorus, potassium ion concentration and pH value according to root system monitoring data;

[0035] The nutrient solution supply device is linked to the microenvironment adjustment unit of the isolation cover to achieve targeted nutrient supplementation for diseased plants, wherein the targeted nutrient supplementation includes adjusting the ratio of trace elements according to the type of disease.

[0036] Optionally, the sealing structure of the cabinet module is provided with:

[0037] Double-layer insulating glass observation window with built-in anti-condensation heating film;

[0038] Magnetic sealing strips are continuously distributed along the edge of the cabinet door and closed by adsorption with the door frame;

[0039] Emergency pressure relief valve, used to automatically open and balance the pressure when the internal air pressure is abnormal;

[0040] The anti-condensation heating film is linked to the humidity control unit to dynamically adjust the heating power according to the humidity in the cabinet.

[0041] A plant maintenance method in an artificial climate cabinet comprises the following steps:

[0042] Step S1: Using a multi-parameter sensor to collect real-time data on temperature, humidity, light intensity, and CO2 concentration in the cabinet, and comparing them with the growth stage parameter library of the target plant to generate dynamic adjustment instructions;

[0043] Step S2: Based on the dynamic adjustment instruction, executing multi-parameter coordinated control, including:

[0044] Adjust the temperature fluctuation range according to the circadian rhythm model;

[0045] Linkage adjustment of humidity and CO2 concentration;

[0046] Dynamically switch the ratio of red light to blue light according to the preset spectral ratio, and control the light intensity change rate at 200-500 lux / min;

[0047] Step S3: When plant physiological abnormalities are detected, the disease management mode is activated:

[0048] Analyze leaf reflectance through non-contact spectral imaging to identify areas with abnormal chlorophyll content;

[0049] Activate the independent circulation purification system of the isolation cover component to block the spread of pathogens;

[0050] Matching treatment strategies to disease types, including localized ultraviolet irradiation, targeted nutrient solution spraying, and isolation and adjustment of microenvironmental parameters;

[0051] Step S4: Real-time synchronization of environmental data and plant growth status via the remote interactive platform, and push control suggestions based on user authority levels, including:

[0052] Full parameter manual control interface in scientific research mode;

[0053] Batch environment template calling function under industrial mode;

[0054] Smart maintenance plans are automatically generated in home mode.

[0055] Optionally, the multi-parameter coordinated control in step S2 further includes:

[0056] Energy consumption optimization strategy: Dynamically assign cooling / heating priority based on real-time power load. When light intensity exceeds a set threshold, the LED array power is reduced to compensate for natural light utilization.

[0057] Emergency response mechanism: When it is detected that the CO2 concentration exceeds the safety threshold or the temperature continuously deviates from the set range, the following operations are performed:

[0058] Turn off the CO2 replenishment device and start forced ventilation;

[0059] Switch to backup power to maintain core environmental parameters stable;

[0060] Send a level 3 alarm to the remote interactive platform and generate a fault handling log;

[0061] Also includes self-learning optimization process:

[0062] Record historical environmental parameters and plant growth rate correlation data, and use machine learning models to modify the weights of the collaborative control algorithm;

[0063] Adjust the preset spectral template based on user feedback to generate a personalized photoperiod configuration plan.

[0064] Compared with the prior art, the present invention has the following beneficial effects:

[0065] Through the design of a cabinet module, an environmental control module, and a disease management module, this present invention achieves precise control of the growing environment for flowers and plants, as well as effective isolation and management of diseased plants. Compared to existing technologies, this artificial climate cabinet significantly improves the precision and uniformity of environmental control, providing suitable growing conditions for different flower species, thereby improving flower growth quality and yield. Furthermore, the introduction of a disease management module effectively prevents the spread of diseases, ensuring the health of the entire planting system. Furthermore, this present invention further expands the functionality and intelligence of this climate cabinet. For example, a spectral analysis device and a deep learning processor enable precise identification of disease types and dynamic adjustment of treatment strategies, further improving the care of diseased plants. Furthermore, this present invention enhances the overall performance and user experience of this climate cabinet through the multifunctional design of the isolation cover assembly, the optimization of the coordinated adjustment system, the refined adjustment of the lighting control unit, the intelligent functions of the remote interactive platform, and the introduction of a root monitoring subsystem. The organic combination of these technical features not only enhances the device's intelligence level but also provides flower growers with more convenient, efficient, and personalized maintenance solutions, promoting innovation and development of artificial climate cabinet technology in the field of flower cultivation. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 This is a schematic diagram of the overall external structure of an artificial climate cabinet embodiment of the present invention.

[0067] Figure 2 This is a schematic diagram of the internal structure of an artificial climate cabinet embodiment of the present invention.

[0068] Figure 3 This is a structural diagram of a disease management module in an embodiment of an artificial climate cabinet of the present invention.

[0069] Among them: 1. Cabinet module; 101. Cultivation area; 102. Equipment area; 2. Adjustable plant shelves; 3. Multi-parameter sensor; 4. Coordinated adjustment system; 5. Light control unit; 6. Wastewater and exhaust gas recycling treatment system; 7. Humidity control unit; 8. Temperature control unit; 9. Temperature and humidity display screen; 10. Load-bearing casters; 11. Transparent sealed cover; 12. Non-contact physiological monitoring device; 13. Fresh air inlet; 14. Fresh air outlet; 15. Observation door. DETAILED DESCRIPTION

[0070] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that, unless there is a conflict, the embodiments and features in the embodiments of the present application can be combined with each other.

[0071] The following detailed description is an exemplary description, which is intended to provide further detailed description of the present invention. Unless otherwise indicated, all technical terms used in the present invention have the same meaning as those generally understood by those skilled in the art. The terms used in the present invention are only for describing specific embodiments, and are not intended to limit the exemplary embodiments according to the present invention.

[0072] Example 1

[0073] like Figure 1-Figure 3 As shown, the present invention relates to an artificial climate cabinet, which is intended to provide precise growth environment control for flowers and plants and has the function of alleviating diseased plants. The following is a detailed embodiment of the artificial climate cabinet and its maintenance method:

[0074] The cabinet module 1 is the basic structure of the artificial climate cabinet, and its design needs to meet the adjustability of the multi-layer plant shelves to accommodate flowers and plants of different heights. The surface of the shelf is paved with a layer of breathable material, such as non-woven fabrics or microporous plastic boards with good breathability, to ensure the breathability of the plant roots while preventing soil particles from entering the air duct system. The circulating air inlet channel and the air outlet channel form a closed-loop airflow through the guide component. The guide component can be a guide plate or guide groove set at the bottom of the shelf to guide the airflow to be evenly distributed on each layer of the shelf, forming a vertical airflow distribution to ensure the uniformity of the plant growth environment on each layer. For example, in an artificial climate cabinet with three shelves, the airflow velocity and temperature distribution differences on each shelf can be controlled within ±5% through the design of the guide component.

[0075] A temperature and humidity display screen 9 can be installed on the top of the cabinet module 1. The cabinet module 1 includes a cultivation area 101 located at the top and an equipment area 102 located at the bottom. The cultivation area 101 includes multi-layered adjustable plant shelves 2, a light control unit 5, and circulating air inlet and outlet channels. The equipment area 102 is equipped with a temperature control unit 8, a humidity control unit 7, and a carbon dioxide concentration control unit. The bottom of the equipment area 102 is also equipped with load-bearing casters 10.

[0076] To further optimize the cabinet module's sealing and ease of operation, the module's sealing structure includes a double-layered, insulated glass observation window with an embedded anti-condensation heating film. This heating film, linked to the humidity control unit 7, dynamically adjusts the heating power based on the cabinet's internal humidity to prevent condensation on the glass surface. Furthermore, a magnetic sealing strip is installed along the edge of the cabinet door, which closes securely with the door frame, ensuring the module's sealing. Furthermore, an emergency pressure relief valve is provided to automatically open and balance the pressure in the event of an abnormally high internal pressure, ensuring safe operation of the equipment.

[0077] In the selection of materials for the cabinet module 1, materials with good thermal insulation and sealing properties are used to reduce the impact of the external environment on the climate inside the cabinet, while also reducing energy consumption. For example, use special insulation boards, high-transmittance glass or transparent plastic and other materials. The internal space of the cabinet module 1 is reasonably designed according to the number, size and growth requirements of the plants. A multi-layer structure or adjustable shelves can be used to adjust according to the height of different plants. The design of the ventilation system is also crucial. A good ventilation system can ensure the circulation of air in the cabinet, avoid the accumulation of harmful gases and the breeding of pests and diseases. The position and size of the vents should be reasonably designed to ensure that the air can circulate evenly to every corner. Fans, ventilation ducts and other equipment can be used to achieve ventilation.

[0078] The environmental control module is the core of the artificial climate cabinet, integrating a temperature control unit 8, a humidity control unit 7, a light control unit 5, and a carbon dioxide concentration control unit. The temperature control unit 8 utilizes a dual-mode switching structure for cooling / heating. The cooling system utilizes a variable-frequency compressor, which automatically adjusts cooling power based on changes in the cabinet's internal temperature. The heating system utilizes ceramic heating elements, which offer high heating efficiency, rapid heating rates, and safety and reliability. A high-precision digital temperature sensor (such as a PT1000 platinum resistance temperature sensor) monitors the cabinet's internal temperature in real time and automatically switches between cooling and heating modes within a preset temperature range, ensuring a temperature control accuracy of ±0.1°C.

[0079] Humidity control unit 7 includes an ultrasonic humidifier and a condensing dehumidifier. The ultrasonic humidifier uses high-frequency vibrations to atomize water into tiny particles, which are evenly dispersed into the air, rapidly increasing humidity. The condensing dehumidifier cools the air to condense water vapor, reducing humidity. The humidity sensor uses a capacitive type with a measurement accuracy of ±2% relative humidity. This provides real-time humidity feedback, enabling the humidifier and dehumidifier to work together to maintain humidity within the required range for flowers and plants, for example, 60%-80%.

[0080] The lighting control unit 5 utilizes a spectrum-adjustable LED array, supporting independent ratios of red, blue, and far-red light. A light intensity compensation device automatically adjusts the illumination angle and spot coverage density based on plant canopy height to ensure uniform lighting. The photoperiod controller prevents plant photoshock by gradually varying light intensity according to the growth stage and species of the flower. The rate of light intensity change varies depending on the plant species. For example, for light-sensitive flowers like orchids, the rate of light intensity change can be controlled at 200-300 lux / min.

[0081] The CO2 concentration control unit uses a non-dispersive infrared CO2 sensor to monitor the CO2 concentration inside the cabinet in real time, with an accuracy of ±10ppm. The CO2 generator uses a chemical CO2 generator, such as one that reacts ammonium bicarbonate with acid to produce CO2. This allows the CO2 concentration to be adjusted between 0.04% and 0.1% based on the photosynthetic needs of the flowers, promoting their growth.

[0082] The coordinated regulation system 4 collects temperature, humidity, light, and carbon dioxide concentration data in real time through the multi-parameter sensor 3 and dynamically adjusts the operating parameters of each control unit based on a preset algorithm. The system includes a circadian rhythm simulator, a stress response module, and an energy consumption optimization unit. The circadian rhythm simulator can periodically adjust the light intensity and spectral composition according to a preset program, simulating the gradual start and stop of natural light. For example, when simulating summer daytime, the light intensity gradually increases to its maximum value, the temperature also rises accordingly, and the carbon dioxide concentration is moderately increased to promote photosynthesis. At night, the light intensity and temperature are reduced to allow flowers and plants to carry out normal respiration and metabolism.

[0083] The Stress Response Module generates storm and drought simulation modes for studying stress responses and adaptation mechanisms in floral plants. For example, in drought simulation mode, the system rapidly reduces humidity and increases wind speed to simulate drought conditions, allowing observation of physiological changes and self-regulation in floral plants.

[0084] The energy optimization unit dynamically allocates cooling / heating power and adjusts light source efficiency based on real-time load. When sunlight is sufficient, it reduces LED power to compensate for natural light intensity, reducing energy consumption. For example, when natural light intensity reaches 10,000 lux, the system automatically reduces LED power to 50%. At the same time, the light intensity compensation device adjusts the light spot coverage density to ensure that flowers and plants receive sufficient light.

[0085] The collaborative control system 4 also includes a self-learning optimization process, recording historical data related to environmental parameters and plant growth rates, and using machine learning models to modify the collaborative control algorithm weights. Based on user feedback, it adjusts the preset spectral templates to generate personalized photoperiod configurations to further optimize the flower growth environment.

[0086] The disease management module, one of the innovative features of this invention, comprises an isolation cover assembly and a non-contact physiological monitoring device 12. The isolation cover assembly includes a transparent sealed cover body 11, an independent circulation purification system, and a microenvironment conditioning unit. The transparent sealed cover body 11 is made of an impact-resistant and wear-resistant transparent material, such as tempered glass or transparent plastic. It can withstand a certain pressure and will not fog up after prolonged use, which would affect observation. The transparent sealed cover body 11 is also equipped with an observation door 15. A sealing strip is installed between the cover body and the base to ensure isolation.

[0087] The independent circulation purification system uses high-efficiency air filters to purify and circulate air, preventing pathogens from escaping. The microenvironment conditioning unit, which includes a local temperature and humidity controller and a directional lighting device, can adjust the ratio of red light to ultraviolet light exposure according to the type of disease, inhibiting the growth of pathogens. This includes fresh air inlet 13 and fresh air outlet 14. For example, for fungal diseases caused by excessive humidity, the system will reduce humidity to approximately 50%, increase the ultraviolet light exposure ratio to 20%, and simultaneously raise the temperature to 25°C to inhibit fungal growth.

[0088] The non-contact physiological monitoring device 12 includes a spectral analysis device, an odor sensor array, and a deep learning processor. The spectral analysis device is used to detect the reflectance spectrum of plant leaves and generate a chlorophyll content change trend graph, and judge the physiological state of the plant by analyzing the spectral characteristics. The odor sensor array is arranged inside the isolation cover and can capture changes in the concentration of volatile organic compounds to determine whether the plant is attacked by pests and diseases. The deep learning processor performs multimodal fusion analysis on spectral data, image features, and odor information, and outputs disease type identification results and treatment strategies. For example, when the system detects that the spectral characteristics of the leaves show a decrease in chlorophyll content, and the odor sensor captures an increase in the concentration of a specific volatile organic compound, the deep learning processor can determine that the plant may be suffering from a certain disease and adjust the ultraviolet intensity and humidity parameters in the isolation cover for treatment.

[0089] The remote interactive platform is an intelligent component of the artificial climate cabinet, used to monitor the environmental parameters and plant growth status within the cabinet. The platform has a built-in flower growth database and intelligent diagnostic model, and can provide personalized maintenance suggestions based on the flower type and growth stage. The platform has a permission management system that distinguishes between operating permissions in scientific research mode, industrial mode, and home mode. In scientific research mode, users can use the full-parameter manual control interface to accurately adjust environmental parameters according to experimental needs; in industrial mode, users can call batch environmental templates to quickly set up a growth environment suitable for different flower types; in home mode, the platform provides an intelligent maintenance plan automatic generation function. Users only need to enter the flower type, and the system will generate a maintenance plan suitable for home users based on the flower growth database.

[0090] The remote interactive platform also features a data tracing module that records historical correlation curves between environmental parameters and plant growth indicators, generating exportable analysis reports. This module allows users to analyze environmental changes during flower growth and optimize maintenance plans. Furthermore, the platform includes a voice-activated command module that allows users to adjust environmental parameters and query disease treatment plans using voice, further enhancing the user experience.

[0091] The data tracing module works in conjunction with the cloud server to predict the flowering time of flowers based on historical data and generate maintenance reminders. For example, by analyzing the temperature, humidity, and light data of a particular flower over its past growth cycle, the platform can predict the flower's flowering time and remind users to make appropriate maintenance preparations a week in advance.

[0092] The root monitoring subsystem includes a capacitive moisture sensor and an impedance analyzer placed in the culture medium, which are used to monitor the moisture status and nutrient absorption of the plant roots in real time. The capacitive moisture sensor can accurately measure the moisture content in the soil or culture medium, and the impedance analyzer can determine the vitality and health of the roots by measuring the impedance changes of the roots. Based on the root monitoring data, the nutrient solution supply device dynamically adjusts the nitrogen, phosphorus, and potassium ion concentrations and pH value to ensure that the plant roots can absorb sufficient nutrients. For example, when the root moisture content is detected to be low, the system will automatically increase the supply of nutrient solution and adjust the nitrogen, phosphorus, and potassium ion concentrations to a ratio suitable for flower growth, such as N:P:K=2:1:1.

[0093] The nutrient solution supply system works in conjunction with the microenvironmental conditioning unit of the isolation hood to provide targeted nutritional supplementation for diseased plants. The trace element ratio is adjusted based on the type of disease. For example, for iron-deficiency yellow leaf disease, the system increases the iron content in the nutrient solution and adjusts the pH to around 6.0, making it more easily absorbed by the plant and promoting its recovery.

[0094] Example 2

[0095] The plant maintenance method based on the above-mentioned artificial climate cabinet includes the following steps:

[0096] Step S1: Multi-parameter sensor 3 collects real-time data on temperature, humidity, light intensity, and CO2 concentration within the cabinet. This data is then compared with the target plant's growth stage parameter library to generate dynamic adjustment instructions. For example, for a rose in its flowering stage, the system monitors environmental parameters in real time based on the temperature, humidity, and light requirements in its growth stage parameter library. If the temperature falls below the set value, a temperature increase instruction is generated.

[0097] Step S2: Based on the dynamic adjustment instructions, multi-parameter coordinated control is executed. The temperature fluctuation range is adjusted according to the circadian rhythm model, for example, the temperature is set to 25°C during the day and 18°C ​​at night. The humidity and CO2 concentration are adjusted in a linked manner to maintain the humidity at 70% and the CO2 concentration at 0.08%. The ratio of red and blue light is dynamically switched according to the preset spectral ratio, and the light intensity change rate is controlled at 200-500 lux / min to meet the photosynthesis needs of flowers.

[0098] Step S3: When plant physiological anomalies are detected, disease management mode is activated. Non-contact spectral imaging analyzes leaf reflectance to identify areas with abnormal chlorophyll content. The isolation cover assembly's independent circulation purification system is activated to block the spread of pathogens. Treatment strategies are tailored to the disease type. For example, for fungal diseases, the UV exposure ratio is increased to 30%, humidity is reduced to 50%, and targeted nutrient solution spraying is performed to replenish the trace elements required by the plants.

[0099] Step S4: The remote interactive platform synchronizes environmental data with plant growth status in real time, and pushes control suggestions based on user permissions. For example, in scientific research mode, the platform provides users with a full manual control interface, allowing users to adjust environmental parameters according to experimental needs; in industrial mode, users can call batch environmental templates to quickly set up growth environments suitable for different flower species; in home mode, the platform automatically generates intelligent maintenance plans, and users only need to follow the plans.

[0100] In step S2, multi-parameter collaborative control also includes an energy consumption optimization strategy. Cooling / heating priorities are dynamically allocated based on real-time power loads. For example, when light intensity exceeds a set threshold, the LED array power is reduced to compensate for natural light utilization, reducing energy consumption. The system also has an emergency response mechanism. When it detects that the CO2 concentration exceeds a safety threshold or the temperature continuously deviates from the set range, the CO2 replenishment device is shut down and forced ventilation is activated. The system switches to backup power to maintain the stability of core environmental parameters, sends a level 3 alert to the remote interactive platform, and generates a fault handling log.

[0101] The system also includes a self-learning optimization process, recording historical data on environmental parameters and plant growth rates, and using machine learning models to modify the weights of the collaborative control algorithm. Based on user feedback, the system adjusts the preset spectral templates to generate personalized photoperiod configurations to further optimize the flower growth environment.

[0102] Example 3

[0103] Flowers and plants have their own optimal growth temperature range, and different flower species have significantly different temperature requirements. For example, tropical flowers like Phalaenopsis generally grow best between 20-30°C, while temperate flowers like tulips thrive in temperatures around 15-20°C. Therefore, artificial climate cabinets must be able to precisely regulate temperature with an accuracy of at least ±0.5°C. This can be achieved by installing high-precision temperature sensors and efficient cooling / heating systems.

[0104] In order to simulate the natural temperature difference between day and night, the climate cabinet has a temperature cycle adjustment function. For example, setting a slightly higher temperature during the day to promote photosynthesis, and lowering the temperature appropriately at night to reduce respiration, is conducive to the growth of flowers and nutrient accumulation. Succulent plants grow well in an environment with a large temperature difference between day and night (such as 25-30℃ during the day and 10-15℃ at night), and their colors are more vivid; while tropical flowers may require a more stable high temperature environment (day and night temperatures are between 20-30℃). According to the characteristics of the native environment of the flowers, set a precise day and night temperature change program in the climate cabinet.

[0105] Temperature adjustment at different levels: Because temperatures may vary at different heights and locations within the climate cabinet, especially when there are multiple layers of flower racks, it is important to ensure that the temperature on each level meets the growth requirements of the flowers. Temperature sensors and temperature control units 8 can be installed to allow the temperature of each level to be independently controlled and adjusted, reducing the impact of temperature gradients on flower growth.

[0106] Matching temperature to the flower's physiological stage: Adjust the temperature during key physiological stages (such as flowering and dormancy). For example, tulips require lower temperatures (9-13°C) during bud differentiation and slightly higher temperatures (15-20°C) during flowering. To address these specific temperature requirements, set corresponding temperature control nodes in the climate cabinet.

[0107] Humidity is also crucial for the growth of flowers and plants. Generally speaking, the ideal relative humidity for most flowers is between 60% and 80%. Proper humidity ensures proper transpiration, preventing leaf wilting and pests and diseases caused by excessive humidity.

[0108] The artificial climate cabinet should be equipped with humidity sensors and humidity adjustment devices, such as ultrasonic humidifiers and dehumidifiers, and the humidity adjustment accuracy should reach ±5% to meet the humidity requirements of different flowers.

[0109] Coordinated control of humidity and ventilation: Considering the relationship between humidity and ventilation, ventilation timing and intensity are optimally arranged to maintain a stable humidity environment. For example, if ventilation is not promptly applied after increasing humidity, pathogens may breed; while excessive ventilation may cause humidity to drop too quickly, hindering flower growth. The ventilation system can automatically adjust based on humidity sensor data to achieve a dynamic balance of humidity.

[0110] Light is the energy source for flowers' photosynthesis. Different flowers have different requirements for light intensity, duration, and light quality (different wavelengths of light). For example, succulents generally prefer full sun and require some shade during the summer heat, while ferns typically require weaker, diffused light.

[0111] The lighting control unit 5 inside the artificial climate cabinet should be able to adjust light intensity from 0 to 15,000 lux or even higher to suit the lighting needs of various flowers. It should also be able to simulate the circadian rhythm of natural light and provide light cycles of varying durations. Furthermore, the lighting control unit 5 should be able to adjust light quality, such as by equipping it with red and blue LEDs. Red light is the primary light source for photosynthesis, while blue light plays a crucial role in plant morphology.

[0112] Light intensity breakdown: For different flower species, the precise light intensity ranges required at different growth stages (e.g., germination, seedling, and flowering) are clearly defined. For example, sun-loving flowers may require 10,000-12,000 lux during their flowering period, while shade-tolerant flowers may only require 1,000-3,000 lux throughout their growth cycle. An adjustable multi-layer light control unit 5 can be installed within the climate cabinet to flexibly adjust light intensity based on the location and type of flowers.

[0113] Light quality optimization: Beyond standard white light, determine the specific spectral components (such as red, blue, and ultraviolet) that different flowers require. For example, red light promotes stem elongation and flowering, while blue light is important for leaf growth and photosynthesis. Climate cabinets can be equipped with LED lights that produce different spectral combinations, dynamically adjusting light quality based on the growth and needs of the flowers.

[0114] Lighting schedule control: Maintaining the photoperiod requirements of each flower requires not only distinguishing between long-day and short-day flowers, but also specifying the exact number of hours. For example, chrysanthemums, a typical short-day flower, may require 10-11 hours of light per day during bud differentiation, while long-day flowers like irises may require 14-16 hours of light. Furthermore, the lighting schedule within the artificial climate chamber must be coordinated with the natural environment's photoperiod, with targeted settings being implemented for flowers that require specific photoperiods to induce flowering or dormancy.

[0115] Properly increasing the carbon dioxide concentration can promote the photosynthesis of flowers and plants. In the natural environment, the carbon dioxide concentration is about 0.04%. In the artificial climate cabinet, the carbon dioxide concentration can be adjusted to 0.04%-0.1% to enhance the photosynthetic efficiency of flowers.

[0116] Determine the optimal CO2 concentration requirements for plants at different growth stages. Generally speaking, appropriately elevated CO2 levels can boost photosynthesis, but different plants respond differently. For example, during the peak growth period of roses, maintaining a CO2 concentration of 800-1000 ppm may promote flower size and quality. Install a CO2 sensor and supply system within the climate cabinet to achieve precise control of CO2 concentration.

[0117] By installing carbon dioxide sensors and carbon dioxide supplement devices, such as carbon dioxide cylinders or carbon dioxide generators, precise control of carbon dioxide concentration can be achieved.

[0118] To prevent the spread of disease in plant growth, artificial climate cabinets should have effective isolation features. Cabinet module 1 should be sealed to prevent the intrusion of pathogens. Furthermore, the internal air circulation system should be equipped with high-efficiency air filters to remove harmful particles such as pathogens and dust, thereby purifying the air inside.

[0119] For plants that have been infected with the disease, a separate isolation area or isolation device, such as a small isolation cover, should be set up to prevent the disease from spreading to other healthy plants.

[0120] The transparent sealing cover 11 is a device used to isolate and observe specific objects, isolating individuals who may carry infectious pathogens from the external environment, making it easier for maintenance personnel to observe them.

[0121] When plants are suspected of being infected with highly contagious viruses, the transparent sealed cover 11 can effectively prevent the spread of the virus. It creates a relatively isolated space, allowing maintenance personnel to safely monitor the vital signs and symptoms of diseased plants. In the laboratory, for experimental samples that may release harmful microorganisms or toxic substances, the transparent sealed cover 11 prevents these harmful substances from leaking into the surrounding environment, while also allowing maintenance personnel to observe the reaction process of the experimental samples.

[0122] The housing can be made of transparent plastic or tempered glass, ensuring excellent visibility and allowing easy observation of internal conditions from the outside. Made of impact-resistant, wear-resistant transparent material, the housing can withstand a certain level of pressure and will not fog up after prolonged use, affecting observation quality. The housing and isolation cover base are sealed with sealing strips.

[0123] The shape and size of the cover body are determined according to the specific purpose. The transparent sealed cover body 11 for placing small diseased plants is relatively small in size and is in the shape of a cuboid or a cylinder.

[0124] In order to ensure good air circulation inside the transparent sealed cover 11 and prevent the internal air pollution from affecting the living environment of the observed object or the state of the experimental sample, a fresh air system is generally equipped. This system can include a fresh air inlet 13 and a fresh air outlet 14, and a high-efficiency air filter is installed at the air outlet position.

[0125] In order to be able to perform necessary operations on the objects inside the transparent sealed cover 11, such as treating the plants, adding reagents thereto, etc., an observation door 15 is provided and sealed.

[0126] According to the degree of isolation:

[0127] Completely transparent sealed cover 11: can achieve strict physical isolation, and the exchange of air and substances inside and outside is strictly controlled.

[0128] Partially transparent sealed enclosure 11: This provides a relatively low degree of isolation, allowing a certain degree of air exchange and limited material transfer. This type of transparent sealed enclosure 11 may be used for observation or experimentation of relatively less contagious diseases, or in transitional stages where isolation requirements are not particularly stringent.

[0129] Depending on the type of disease, the artificial climate cabinet can quickly adjust environmental parameters to inhibit the development of the disease. For example, for fungal diseases caused by excessive humidity, the humidity should be reduced, and the temperature and light intensity should be appropriately increased to inhibit fungal growth.

[0130] For some physiological diseases caused by nutrient deficiencies, artificial climate cabinets can promote the absorption of nutrients by flowers and plants by adjusting the supply of nutrient solution and environmental parameters. For example, for iron deficiency yellow leaf disease, the pH value of the nutrient solution can be adjusted to make iron more easily absorbed by the plant.

[0131] The spatial layout within the artificial climate cabinet should fully consider the growing space and ventilation requirements of the flowers and plants. A tiered design can effectively utilize space while facilitating the management of different flowers. The height of each tier should be appropriately designed based on the height of the flowers and plants, ensuring that the plants have sufficient space to grow without blocking sunlight and air circulation.

[0132] Reasonable shelves or planting racks should be set up. The material should have good air permeability and drainage to prevent water accumulation and root rot. The load-bearing capacity of the shelves should be sufficient to support flower pots of different sizes and weights.

[0133] Considering that users may grow many different types of flowers and plants, the artificial climate cabinet should be universal. The internal environmental adjustment system should be able to adapt to the growth needs of various flowers, rather than being designed for only one type or category of flowers.

[0134] For example, the adjustable range of the light control unit 5 should be wide enough, and the adjustment of temperature and humidity should also be able to meet the needs of a variety of flowers from tropical flowers to temperate flowers, so that users can grow different types of flowers in the same climate cabinet.

[0135] The control system of the artificial climate cabinet should be designed to be simple and easy to understand, and convenient for users to operate. The interface can be designed with a touch screen to clearly display the real-time data and set values ​​of various environmental parameters. Users can adjust parameters such as temperature, humidity, and light through simple operations.

[0136] At the same time, some preset flower growth modes should be provided, such as "orchid mode", "succulent plant mode", "tropical plant mode", etc. Users can directly select the corresponding mode according to the type of flowers they grow, reducing the complicated parameter setting process.

[0137] The various components of the equipment should be easy to disassemble and replace, making it convenient for repair and maintenance. For example, parts such as air filters and lamps should be designed to be easy for users to replace themselves to extend the service life of the equipment.

[0138] The artificial climate cabinet should be equipped with a drainage system to facilitate the removal of accumulated water. In addition, the material of the cabinet module 1 should be easy to clean to prevent the accumulation of dust and germs.

[0139] Precise multi-parameter collaborative control system:

[0140] High-resolution sensor integration: Advanced temperature, humidity, light, and CO2 concentration sensors deliver far superior accuracy to traditional devices. For example, the temperature sensor achieves accuracy of ±0.1°C, the humidity sensor within ±2%, the light intensity sensor within ±50 lux, and the CO2 concentration sensor within ±10 ppm. This allows for real-time and precise monitoring of environmental parameters within the climate cabinet, providing an optimal growth environment for flowers and plants.

[0141] Intelligent Coordinated Adjustment Algorithm: A unique multi-parameter coordinated adjustment algorithm has been developed, breaking the limitations of traditional equipment where each parameter is independently adjusted. This algorithm automatically and intelligently adjusts parameters such as temperature, humidity, light, and CO2 concentration based on the growth stage and real-time needs of the flowers and plants, ensuring they work together to achieve optimal growth. For example, during the flowering period, the system automatically increases light intensity and CO2 concentration while appropriately adjusting temperature and humidity to promote vibrant bloom and fragrant aroma.

[0142] Dynamic environment simulation mode:

[0143] Natural Rhythm Simulation: Accurately simulates the natural rhythms of day and night, seasonal changes, and other circadian rhythms. By programmatically controlling the duration, intensity, and cyclical changes in temperature, as well as adjusting humidity and CO2 concentrations, plants in the artificial climate chamber grow as if in a natural environment, following natural growth patterns. For example, during a simulated summer daytime, light intensity gradually increases to its maximum, temperature rises accordingly, and CO2 concentration is moderately increased to promote photosynthesis. At night, light intensity and temperature are reduced to allow plants to respire and metabolize normally.

[0144] Sudden Environmental Change Simulation: The innovative new feature simulates sudden environmental changes, such as the impact of extreme weather events like storms and droughts on flower plants. By rapidly changing environmental parameters within the climate chamber, the stress responses and adaptation mechanisms of flower plants can be studied, providing a powerful tool for studying and cultivating flower stress resistance. For example, by reducing humidity and increasing wind speed for a short period of time to simulate drought conditions, the physiological changes and self-regulation abilities of flower plants can be observed, providing data support for cultivating more drought-resistant flower varieties.

[0145] Disease Management Module:

[0146] Multi-sensor data analysis: The system integrates a variety of non-invasive sensors, such as spectral sensors, image sensors, and odor sensors, to collect real-time growth data on flowers and plants. Spectral sensors analyze the reflectance spectrum of flower leaves to detect changes in physiological indicators such as chlorophyll content and moisture status. Image sensors capture images of flower appearance to identify abnormalities in leaf color, shape, texture, and other characteristics. Odor sensors detect changes in the scent emitted by flowers to determine the presence of pests and diseases.

[0147] Deep Learning Algorithm Diagnosis: A deep learning algorithm is used to analyze and process collected multi-sensor data to establish a flower disease diagnosis model. Trained on a large number of flower disease samples, this model can accurately identify common flower diseases such as powdery mildew, black spot, and root rot, and issue early warning signals. For example, if the system detects abnormal changes in the spectral characteristics of flower leaves and the image shows spotty lesions, combined with data from the odor sensor, it can determine the presence of a specific disease and push a warning message to the user via the display or mobile app, prompting them to take appropriate measures.

[0148] Personalized treatment environment generation:

[0149] Environmental adjustments based on disease type: Once the type of disease in a flower plant is diagnosed, the system automatically adjusts the environmental parameters within the climate cabinet based on the characteristics of the disease, providing a personalized treatment environment for the diseased plant. For example, for fungal diseases, the system will reduce humidity, increase temperature and light intensity to inhibit fungal growth and reproduction; for bacterial diseases, it may adjust temperature and ventilation conditions and provide appropriate drug treatment (such as a matching drug spray device).

[0150] Tracking and Adjusting the Recovery Process: During the recovery process of sick plants, the system continuously tracks the plant's growth status and changes in physiological indicators, adjusting treatment environment parameters in real time. Using spectral and image sensors, the system continuously monitors indicators such as chlorophyll content in the plant's leaves and root vitality. Based on the plant's recovery progress, the system dynamically optimizes environmental factors such as temperature, humidity, and light to ensure the plant's rapid recovery. For example, if a plant's chlorophyll content gradually increases during treatment, indicating good recovery, the system can appropriately reduce light intensity to prevent damage from excessive light exposure.

[0151] The sensor module inside the isolation cover synchronizes the environmental monitoring function of the large system inside the climate cabinet.

[0152] Coordinated Adjustment System 4: The climate cabinet is equipped with an advanced coordinated adjustment system 4, which automatically adjusts the operating power of cooling, heating, lighting, and ventilation devices based on real-time changes in environmental parameters and the growth needs of flowers and plants. For example, when the temperature inside the climate cabinet approaches the set point, the cooling system automatically reduces its power to save energy. During daytime hours with ample sunlight, the lighting control unit 5 intelligently adjusts the brightness, supplementing artificial lighting with natural light to reduce energy consumption.

[0153] Energy-efficient equipment components: Highly efficient and energy-saving components are used, such as variable-frequency compressors, energy-saving LED lamps, and low-power fans. The variable-frequency compressor adjusts its speed based on actual cooling needs, saving over 30% energy compared to traditional fixed-frequency compressors. Energy-saving LED lamps, with their high luminous efficiency and low heat generation, provide ample light for flowers while significantly reducing energy consumption. Low-power fans, through optimized air duct design and the use of advanced motor technology, reduce energy loss during ventilation.

[0154] Environmentally friendly materials for cabinet module 1: The cabinet module 1 of the artificial climate cabinet is constructed from environmentally friendly materials, such as recyclable aluminum alloy, metal materials, and non-polluting plastic composite materials. These materials not only offer excellent thermal insulation, heat insulation, and corrosion resistance, but also have minimal environmental impact during production and use. Furthermore, the design of the cabinet module 1 focuses on structural optimization, minimizing material usage and reducing resource consumption.

[0155] Wastewater and Waste Gas Recycling: An innovative wastewater and waste gas recycling system 6 purifies and recycles wastewater and waste gas generated within the climate cabinet. After filtration, disinfection, and purification, the wastewater can be used for flower irrigation, reducing water waste. Carbon dioxide from the waste gas is recovered through collection and purification equipment and reinjected into the climate cabinet, increasing CO2 utilization and reducing greenhouse gas emissions. For example, activated carbon filters and ultraviolet disinfection devices are installed to deeply treat wastewater, bringing it to irrigation-quality standards. Carbon dioxide adsorption and desorption technology is used to effectively recycle CO2 from the waste gas, reducing operating costs and achieving the dual goals of environmental protection and energy conservation.

[0156] Remote monitoring and operation platform

[0157] Mobile Application Development: We've developed a convenient mobile application (APP) for users, allowing them to remotely monitor the operating status of the artificial climate cabinet and the growth of flowers and plants anytime, anywhere via their phone or tablet. The app's simple and intuitive interface displays real-time environmental parameter data, images and videos of flowers, and disease warnings. Users can remotely adjust the cabinet's temperature, humidity, lighting, and other parameters through the app, enabling precise management of flowers and plants.

[0158] Cloud Service Data Storage and Analysis: Leveraging cloud computing technology, a cloud service platform has been established to enable data storage and analysis. All data collected during the operation of the climate cabinet, including environmental parameters, flower growth data, and equipment operating status, is uploaded to the cloud server in real time. Through big data analysis, the cloud platform provides users with services such as flower growth trend forecasts, equipment failure warnings, and optimization recommendations. For example, historical data can be used to predict flower bloom times, providing users with advance warnings for viewing or selling flowers. Equipment operating data can also be analyzed to identify potential failures and provide timely notifications for maintenance, thereby improving equipment reliability and service life.

[0159] Visual Operation Interface: The artificial climate cabinet features a large touchscreen display with a visual interface that graphically displays various environmental parameters and flower growth information. Users can easily set parameters, select modes, and operate the device via the touchscreen, eliminating the need for complex procedures or specialized knowledge. For example, by tapping a flower icon on the screen, users can view detailed growth information and care recommendations for that flower. By dragging the temperature slider, the temperature setpoint within the cabinet can be quickly adjusted. Operation is simple and intuitive.

[0160] Voice Interaction: To further enhance the user experience, a voice interaction feature has been innovatively added. Users can operate and query the climate cabinet using voice commands, such as "Raise the temperature to 25°C" or "Check the humidity level of the flowers." The cabinet's built-in voice recognition module accurately identifies user voice commands and provides real-time feedback and operational prompts using speech synthesis technology. This feature facilitates operation of the climate cabinet even when users are busy or have limited vision, enhancing the device's ease of use and user-friendliness.

[0161] Intelligent Implant Advisor System:

[0162] Flower Knowledge Database Construction: We have established a rich flower knowledge database, covering the growth habits, maintenance tips, pest and disease control, and other information on thousands of common flowers. The database is constantly updated and improved to ensure that users are provided with the latest and most accurate flower planting knowledge.

[0163] Intelligent Planting Recommendations and Plan Generation: Based on the flower varieties planted in the climate cabinet and real-time environmental parameters and growth status data, the intelligent planting advisor system generates personalized planting recommendations and plans for users. For example, when the system detects slow flower growth, it analyzes environmental factors and the flower's physiological indicators and provides corresponding adjustment suggestions, such as increasing light duration and adjusting fertilizer application rates. When flowers are about to enter their flowering period, the system reminds users to adjust environmental parameters in advance to ensure normal flowering and ornamental effects. Furthermore, the system can also develop personalized planting plans based on the user's planting goals and needs, such as a full-process management plan from seed sowing to flowering, to help users better plant and maintain flowers, improving their survival rate and quality.

[0164] Cabinet module 1 design

[0165] Cabinet Module 1 Materials: Select materials with excellent thermal insulation and sealing properties to reduce the impact of the external environment on the cabinet climate and reduce energy consumption. For example, use special insulation boards, high-transmittance glass, or transparent plastic.

[0166] Cabinet Module 1 Space: Design the cabinet module 1 space appropriately based on the number, size, and growth requirements of the plants. Ensure adequate growth space for the plants while also facilitating easy operation and management. Consider designing a multi-layer structure or adjustable shelving to accommodate the height of the plants.

[0167] Ventilation system: A good ventilation system ensures proper air circulation within the cabinet, preventing the accumulation of harmful gases and the breeding of pests and diseases. The location and size of the vents should be designed appropriately to ensure even air flow to every corner. Fans, ventilation ducts, and other equipment can be used to achieve ventilation.

[0168] Fluid and Nutrition Supply System:

[0169] Rehydration system: For plants that are diseased due to water shortage or malnutrition, a rehydration system is required. This can be achieved by using an automated rehydration system that evenly distributes water or nutrient solution to the plants through pipes and nozzles. The rehydration system must be able to precisely control the amount and timing of rehydration to avoid damage to the plants caused by excessive or insufficient rehydration.

[0170] Nutrition supply: According to the needs of the plants, equip corresponding nutrient supply equipment, such as nutrient solution storage tanks, nutrient solution delivery pipelines, etc. The nutrient solution can be combined with the rehydration system to achieve simultaneous water and nutrient replenishment.

[0171] Nutrient solution ingredients: These are formulated based on the plant's nutritional needs and disease status. These typically include macronutrients (nitrogen, phosphorus, potassium) and trace elements (iron, manganese, zinc, etc.). For example, for plants with yellowing leaves due to nitrogen deficiency, the nitrogen fertilizer ratio can be appropriately increased in the nutrient solution. For plants susceptible to heavy metal contamination and disease, chelating agents can be added to reduce the toxicity of these heavy metals.

[0172] Nutrient solution concentration: Nutrient solution concentration is usually between 0.1% and 0.3%. The appropriate concentration can provide sufficient nutrition for plants while avoiding damage to plants caused by high-concentration nutrient solutions, such as root burn.

[0173] pH value of nutrient solution: pH value is generally maintained between 5.5-7.0. Different plants adapt to slightly different pH ranges. This pH range can ensure that most nutrients can be effectively absorbed by plants.

[0174] Monitoring and control systems:

[0175] Sensors: Install various sensors, such as temperature, humidity, light, and gas sensors, to monitor environmental parameters within the cabinet in real time. The number and location of sensors should be appropriately distributed to accurately reflect the environmental conditions in each area of ​​the cabinet.

[0176] Controller: Use an advanced controller, such as a microcomputer or programmable logic controller (PLC), to collect and analyze environmental parameters in real time and automatically adjust the operation of the climate cabinet according to preset parameters. The controller must have good stability and reliability and be able to operate stably for a long time.

[0177] Data recording and analysis: Equipped with data recording equipment, the climate cabinet records environmental parameters and plant growth for analysis and research. Data can be remotely transmitted and managed by connecting to a computer or cloud platform, allowing users to view and analyze data at any time.

[0178] Security System:

[0179] Electrical safety: The electrical equipment in the climate cabinet must comply with safety standards and be equipped with leakage protection devices, overload protection devices, etc. to ensure the safety of personnel and equipment.

[0180] Fire protection system: equipped with corresponding fire protection equipment, such as fire extinguishers, smoke alarms, etc., to prevent the occurrence of fire.

[0181] Biosafety: For some diseased plants that may carry pathogens or pests, corresponding biosafety measures should be taken, such as setting up isolation areas and regular disinfection, to prevent the spread of diseases and pests.

[0182] It is understood from common technical knowledge that the present invention can be implemented in various embodiments without departing from its spirit or essential features. Therefore, the embodiments disclosed above are merely illustrative in all respects and are not intended to be exclusive. All modifications within the scope of the present invention or equivalent to the scope of the present invention are intended to be encompassed by the present invention.

Claims

1. An artificial climate cabinet, characterized in that: include: A cabinet module (1) comprises a multi-layer adjustable plant shelf (2), a circulating air inlet channel and a circulating air outlet channel; the surface of the plant shelf is provided with an air permeable material layer, and the circulating air inlet channel and the air outlet channel form a closed-loop airflow through a guide component; An environmental control module, integrating a temperature control unit (8), a humidity control unit (7), a light control unit (5) and a carbon dioxide concentration control unit, wherein the temperature control unit (8) includes a cooling / heating dual-mode switching structure, and the humidity control unit (7) includes an ultrasonic humidifier and a condensing dehumidifier; A coordinated regulation system (4) collects temperature, humidity, light and carbon dioxide concentration data in real time through a multi-parameter sensor (3), and dynamically adjusts the operating parameters of each control unit based on a preset algorithm; A disease management module comprises an isolation cover assembly and a non-contact physiological monitoring device (12), wherein the isolation cover assembly comprises a transparent sealed cover body (11), an independent circulation purification system and a microenvironment adjustment unit, wherein the microenvironment adjustment unit comprises a local temperature and humidity controller and a directional lighting device; The remote interactive platform is used to monitor the environmental parameters and plant growth status in the cabinet. The remote interactive platform has a built-in flower growth database and intelligent diagnosis model.

2. The artificial climate cabinet according to claim 1, characterized in that: The disease management module also includes: Spectral analysis device, used to detect the reflectance spectrum of plant leaves and generate a chlorophyll content change trend chart; An odor sensor array is arranged inside the isolation cover to capture changes in the concentration of volatile organic compounds; A deep learning processor is used to perform multimodal fusion analysis of spectral data, image features, and odor information, and output disease type identification results and treatment strategies. The treatment strategy includes the coordinated adjustment of ultraviolet intensity and humidity parameters in the isolation cover.

3. The artificial climate cabinet according to claim 1, characterized in that: The isolation cover assembly includes: A modular installation interface that can be detachably connected to any shelf in the cabinet module (1); Negative pressure maintenance system, used to control the balance of inlet and outlet air volume through differential pressure sensors to prevent pathogens from overflowing; Directional lighting device, used to adjust the ratio of red light to ultraviolet light according to the type of disease, inhibiting the reproduction of pathogens; The independent circulation purification system is connected to the main circulation air duct of the cabinet module (1) via a three-way valve, and is used to filter pathogens during gas exchange inside and outside the isolation cover.

4. The artificial climate cabinet according to claim 1, characterized in that: The coordinated regulation system (4) comprises: Circadian rhythm simulator, used to periodically adjust light intensity and spectral composition according to a preset program, simulating the gradual start and stop of natural light; Stress response module, which can generate storm simulation mode and drought simulation mode; Energy consumption optimization unit, used to dynamically allocate cooling / heating power according to real-time load and adjust light source energy efficiency. Light source energy efficiency adjustment includes reducing LED power and compensating for natural light intensity when there is sufficient light.

5. The artificial climate cabinet according to claim 1, characterized in that: The illumination control unit (5) comprises: a spectrum-adjustable LED array supporting independent proportions of red light, blue light and far-red light; Light intensity compensation device, used to automatically adjust the irradiation angle and light spot coverage density according to the height of the plant canopy; A photoperiod controller is used to avoid plant light shock by gradually changing the light intensity, wherein the rate of change of the gradually changing light intensity is associated with the plant species.

6. The artificial climate cabinet according to claim 1, characterized in that: The remote interactive platform includes: Data tracing module, used to record the correlation curve between historical environmental parameters and plant growth indicators, and generate exportable analysis reports; Voice control command module, used to support voice adjustment of environmental parameters and query of disease treatment solutions; The data tracing module is linked to the cloud server to predict flowering time based on historical data and generate maintenance reminders.

7. The artificial climate cabinet according to claim 1, characterized in that: Also includes: A wastewater and waste gas recycling treatment system (6) is used to purify and recycle wastewater and waste gas generated in the cabinet module (1); a root monitoring subsystem consisting of a capacitive moisture sensor and an impedance analyzer placed in the culture matrix; Nutrient solution supply device, used to dynamically adjust nitrogen, phosphorus, potassium ion concentration and pH value according to root system monitoring data; The nutrient solution supply device is linked to the microenvironment adjustment unit of the isolation cover to achieve targeted nutrient supplementation for diseased plants. The targeted nutrient supplementation includes adjusting the ratio of trace elements according to the type of disease.

8. The artificial climate cabinet according to claim 1, characterized in that: The sealing structure of the cabinet module (1) comprises: Double-layer insulating glass observation window with built-in anti-condensation heating film; Magnetic sealing strips are continuously distributed along the edge of the cabinet door and closed by adsorption with the door frame; Emergency pressure relief valve, used to automatically open and balance the pressure when the internal air pressure is abnormal; The anti-condensation heating film is linked to the humidity control unit (7) and is used to dynamically adjust the heating power according to the humidity in the cabinet.

9. A plant maintenance method in an artificial climate cabinet, based on the artificial climate cabinet according to any one of claims 1 to 8, characterized in that: The following steps are involved: Step S1: The temperature, humidity, light intensity and CO2 concentration data in the cabinet are collected in real time through the multi-parameter sensor (3), and compared with the growth stage parameter library of the target plant to generate dynamic adjustment instructions; Step S2: Based on the dynamic adjustment instruction, executing multi-parameter coordinated control, including: Adjust the temperature fluctuation range according to the circadian rhythm model; Linkage adjustment of humidity and CO2 concentration; Dynamically switch the ratio of red light to blue light according to the preset spectral ratio, and control the light intensity change rate at 200-500 lux / min; Step S3: When plant physiological abnormalities are detected, the disease management mode is activated: Analyze leaf reflectance through non-contact spectral imaging to identify areas with abnormal chlorophyll content; Activate the independent circulation purification system of the isolation cover component to block the spread of pathogens; Matching treatment strategies to disease types, including localized ultraviolet irradiation, targeted nutrient solution spraying, and isolation and adjustment of microenvironmental parameters; Step S4: Real-time synchronization of environmental data and plant growth status via the remote interactive platform, and push control suggestions based on user authority levels, including: Full parameter manual control interface in scientific research mode; Batch environment template calling function under industrial mode; Smart maintenance plans are automatically generated in home mode.

10. The plant maintenance method according to claim 9, characterized in that: The multi-parameter coordinated control in step S2 further includes: Energy consumption optimization strategy: Dynamically assign cooling / heating priority based on real-time power load. When light intensity exceeds a set threshold, the LED array power is reduced to compensate for natural light utilization. Emergency response mechanism: When it is detected that the CO2 concentration exceeds the safety threshold or the temperature continuously deviates from the set range, the following operations are performed: Turn off the CO2 replenishment device and start forced ventilation; Switch to backup power to maintain core environmental parameters stable; Send a level 3 alarm to the remote interactive platform and generate a fault handling log; Also includes self-learning optimization process: Record historical environmental parameters and plant growth rate correlation data, and use machine learning models to modify the weights of the collaborative control algorithm; Adjust the preset spectral template based on user feedback to generate a personalized photoperiod configuration plan.

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