Intelligent flowerpot system

Abstract

The invention relates to the field of flowerpots, and discloses an intelligent flowerpot system, comprising: a flowerpot for accommodating a substrate for plant growth and providing a physical support space for a plant root system; the acquisition management module is used for collecting and sorting growth data of different plants in various environments; the sensing adjustment module is used for monitoring the growth environment parameters of the plants in the flowerpot in real time, determining the threshold values of the growth environment parameters by using a data analysis algorithm, setting a dynamic threshold value adjustment rule and adjusting the growth environment parameters of the plants in the flowerpot according to the threshold values; and the monitoring maintenance module is used for monitoring the health state of the plant in the flowerpot in real time and performing maintenance operation. Growth data of different plants in various environments are collected and sorted through the collection management module, the monitoring maintenance module monitors the health state of the plants in the flowerpot in real time and carries out maintenance operation, and the sensing adjustment module monitors growth environment parameters of the plants in the flowerpot in real time, determines a threshold value and sets a dynamic threshold value adjustment rule.

Description

Technical Field

[0001] The invention relates to the technical field of flower pots, and in particular to an intelligent flower pot system. Background Art

[0002] With people's pursuit of quality of life and increasing requirements for refined green plant maintenance, more and more people like to plant some flowers and plants at home to equip the environment. Traditional flower pots only provide a container for plant growth. They cannot effectively regulate and monitor the plant growth environment, and it is difficult to meet modern people's intelligent needs for plant maintenance. Summary of the invention

[0003] In view of the deficiencies in the prior art, the present invention provides an intelligent flower pot system to solve the problem that traditional flower pots cannot effectively regulate and monitor the plant growth environment and cannot meet the modern people's demand for intelligent plant care.

[0004] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent flower pot system, comprising:

[0005] Pot: A substrate used to hold plants and provide physical support for their roots;

[0006] Collection management module: used to collect and organize the growth data of different plants in various environments;

[0007] Perception and adjustment module: used to monitor the growth environment parameters of plants in the flowerpots in real time, use data analysis algorithms to determine the thresholds of the growth environment parameters, set dynamic threshold adjustment rules, and adjust the growth environment parameters of plants in the flowerpots according to the thresholds;

[0008] Monitoring and maintenance module: used to monitor the health status of plants in the flowerpots in real time and perform maintenance operations, including fertilization, pest control, and pruning branches and leaves;

[0009] Early warning interaction module: used to issue real-time early warnings when plant growth environment parameters are abnormal or plant health status has problems, and interact with relevant personnel.

[0010] Preferably, the flowerpot includes a flowerpot body and a flowerpot stand, wherein the flowerpot body is used to carry plants and planting substrates, and the flowerpot stand is used to support the flowerpot body and adjust its height and angle so that the plants in the flowerpot body can receive light and undergo maintenance operations.

[0011] Preferably, the acquisition management module includes an acquisition unit, a processing unit, and a management unit. The acquisition unit is used to collect growth data of different plants in various environments, and the various environments include different climate zones, seasonal changes, different light intensities and spectrum combinations, and temperature and humidity. The growth data includes appearance image data, environmental data, and internal physiological parameter data. The environmental data includes light, temperature and humidity, and soil state. The internal physiological parameter data includes conductivity and chlorophyll fluorescence. The processing unit is used to perform preprocessing operations on the growth data to improve the quality and availability of the data. The preprocessing operations include cleaning, conversion, and feature extraction. The management unit is used to classify and store the growth data by dimensions, and the dimensions include plant species, growth stages, and environmental parameters.

[0012] Preferably, the perception and adjustment module includes an environmental perception unit and an automatic adjustment unit. The environmental perception unit is used to collect growth environment parameters of plants in flowerpots in real time. The growth environment parameters include light intensity, light spectrum, temperature, humidity, soil pH, soil fertility, and carbon dioxide concentration. The automatic adjustment unit is used to automatically adjust the growth environment parameters according to the growth data of the plants in the flowerpots.

[0013] Preferably, the automatic adjustment unit includes a threshold setting subunit, a light adjustment subunit, a temperature adjustment subunit, and a humidity adjustment subunit. The threshold setting subunit is used to determine the thresholds of the growth environment parameters of the plants in the flowerpots at different growth stages according to the growth data of the plants in the flowerpots and the health status of the plants, and to set dynamic threshold adjustment rules according to the short-term and long-term adaptability of the plants. The thresholds include light, temperature, humidity, physiological conditions, and nutritional content. The light adjustment subunit is used to adjust the spectrum combination, brightness, and irradiation angle of the fill light in real time according to the set thresholds. The temperature adjustment subunit is used to adjust the temperature according to the temperature deviation ΔT=T through the semiconductor refrigeration and heating equipment according to the set thresholds. actual -T set , where T actual is the actual temperature, T set To set the temperature, calculate the cooling and heating current I = K P ΔT+K I ∫ΔTdt+K D (dΔT / dt), where K P , K I , K D The humidity regulating subunit is used to adjust the air humidity in the flower pot according to the set threshold value, and the humidity regulating subunit is used to adjust the air humidity in the flower pot according to the volume V of the flower pot, the effective water holding capacity of the soil θ, the current soil humidity θ current And the plant water requirement coefficient k, calculate the watering amount m = k × V × (θ - θcurrent ), regulate soil moisture.

[0014] Preferably, the monitoring and maintenance module includes a physiological monitoring unit, a pest control unit, and a nutrition management unit. The physiological monitoring unit is used to continuously monitor the physiological parameters of the plant through a camera and a non-invasive sensor, and to determine the health status of the plant. The non-invasive sensor includes a plant conductivity sensor, a chlorophyll fluorescence sensor, and a stem flow sensor. The health status includes the morphological characteristics, growth vitality, photosynthesis efficiency, and water transport of the plant. The morphological characteristics include plant height, crown width, leaf morphology and color, and flower and fruit conditions. The pest control unit is used to monitor plant diseases and pests through image recognition technology combined with environmental data, and to prevent and control them through a combination of physical, biological, and chemical control. The nutrition management unit is used to monitor the nutrient content in the soil in real time, and to control the amount and time of fertilizer application according to set thresholds. The nutrient content includes nitrogen, phosphorus, and potassium.

[0015] Preferably, the early warning interaction module includes a communication unit, an interaction unit, and an early warning unit. The communication unit is used to transmit various data to the corresponding module, the interaction unit is used to provide an operation interface for human-computer interaction, and the early warning unit is used to issue an early warning when the growth environment parameters of the plants in the flowerpot exceed a threshold value. The early warning content includes a description of the problem, the cause, and treatment suggestions.

[0016] The method of using the smart flower pot includes the following steps:

[0017] S1. Plant placement: Place the plants and their growth medium in the flowerpot body, and support the flowerpot body with a flowerpot stand, adjusting its height and angle so that the plants in the flowerpot body can receive light and undergo maintenance operations;

[0018] S2, collection management: the collection unit then collects the growth data of plants under various environments, the processing unit pre-processes the growth data, and the management unit classifies and stores them;

[0019] S3, environmental perception: the environmental perception unit then collects growth environment parameters, the physiological monitoring unit monitors the physiological parameters of the plant and determines the health status of the plant, and then the threshold setting subunit uses the data analysis algorithm to determine the threshold and dynamic adjustment rules of the plant's growth environment parameters based on the growth data and health status;

[0020] S4, environmental regulation: then the light regulation subunit, the temperature regulation subunit, and the humidity regulation subunit respectively regulate the light, temperature, and humidity of the plant according to the set thresholds;

[0021] S5. Monitoring and maintenance: The pest control unit then monitors plant pests and diseases and prevents them through a combination of physical, biological and chemical control. The nutrition management unit monitors the nutrient content in the soil in real time and controls the amount and time of fertilization according to the set thresholds.

[0022] S6. Early warning interaction: When the growth environment parameters of the plants in the flowerpots exceed the threshold, the early warning unit issues an early warning, and the interactive unit provides an operation interface for human-computer interaction.

[0023] The present invention provides an intelligent flowerpot system, which has the following beneficial effects:

[0024] 1. The present invention collects and organizes the growth data of different plants in various environments through the collection management module, the monitoring and maintenance module monitors the health status of plants in the flowerpots in real time and performs maintenance operations, the perception and adjustment module monitors the growth environment parameters of plants in the flowerpots in real time, determines the threshold, sets the dynamic threshold adjustment rule, and adjusts the growth environment parameters of plants in the flowerpots according to the threshold, thereby realizing refined management and intelligent services for the entire growth cycle of plants, thereby meeting people's intelligent needs for plant maintenance.

[0025] 2. The present invention monitors the growth environment parameters of plants in flowerpots in real time through the perception and adjustment module, and uses the data analysis algorithm to determine the threshold and set the dynamic adjustment rules, and then intelligently adjusts the environmental parameters according to the needs of plants in different growth stages, so as to adapt to the dynamic changes of plant growth in real time, and accurately adjust key factors such as light, temperature and humidity, and soil fertility, thereby creating an accurate and stable ideal growth microenvironment for plants, helping plants to grow healthily and vigorously.

[0026] 3. The present invention uses a physiological monitoring unit to continuously monitor plant physiological parameters and judge health status with the help of cameras and non-invasive sensors. When health risks are detected, the pest control unit and the nutrition management unit take corresponding measures in a timely manner, thereby closely tracking all aspects of the plant status and responding quickly when problems arise, thereby comprehensively ensuring the healthy growth of plants, improving plant vitality and ornamental value, enhancing the reliability and comprehensiveness of plant maintenance, and ensuring the health and stability of plants during growth.

[0027] 4. The present invention collects plant growth data through a collection unit, collects plant growth environment parameters through an environmental perception unit, monitors plant physiological parameters through a physiological monitoring unit, and determines the health status of the plant. The threshold setting subunit determines the thresholds of plant growth environment parameters at different growth stages according to growth data and health status, and sets dynamic threshold adjustment rules, thereby constructing a precise plant growth environment management system that is guided by the actual growth conditions of plants, integrates multi-dimensional data, and has dynamic adaptability. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is a system architecture diagram of the intelligent flower pot system proposed in the present invention;

[0029] Figure 2 A flowerpot architecture diagram of the intelligent flowerpot system proposed by the present invention;

[0030] Figure 3 This is a diagram of the collection management module architecture of the smart flower pot system proposed by the present invention;

[0031] Figure 4 This is a diagram of the perception and adjustment module architecture of the smart flower pot system proposed by the present invention;

[0032] Figure 5 This is a diagram of the automatic adjustment unit architecture of the intelligent flower pot system proposed by the present invention;

[0033] Figure 6 This is a diagram of the monitoring and maintenance module architecture of the smart flower pot system proposed by the present invention;

[0034] Figure 7 This is a diagram of the early warning interaction module architecture of the smart flower pot system proposed by the present invention;

[0035] Figure 8 This is a flow chart of the method for using the smart flower pot proposed by the present invention. DETAILED DESCRIPTION

[0036] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] Example:

[0038] Please see attached Figure 1 , an embodiment of the present invention provides a smart flower pot system, comprising:

[0039] Pot: A substrate used to hold plants and provide physical support for their roots;

[0040] Collection management module: used to collect and organize the growth data of different plants in various environments;

[0041] Perception and adjustment module: used to monitor the growth environment parameters of plants in the flowerpots in real time, use data analysis algorithms to determine the thresholds of the growth environment parameters, set dynamic threshold adjustment rules, and adjust the growth environment parameters of plants in the flowerpots according to the thresholds;

[0042] Monitoring and maintenance module: used to monitor the health status of plants in the flowerpots in real time and perform maintenance operations, including fertilization, pest control, and pruning branches and leaves;

[0043] Early warning interaction module: used to issue real-time early warnings when plant growth environment parameters are abnormal or plant health status has problems, and interact with relevant personnel.

[0044] Specifically, by collecting and organizing the growth data of different plants in various environments, we can build a comprehensive growth information database of various plants, provide a data foundation for accurately judging plant needs, and realize the possibility of personalized maintenance strategies based on different plant species and growth stages, thus improving the lack of specificity and strong blindness of traditional maintenance methods.

[0045] By real-time monitoring of the growth environment parameters of plants in pots, using data analysis algorithms to determine the thresholds of the growth environment parameters, setting dynamic threshold adjustment rules, and adjusting the growth environment parameters of plants in pots according to the thresholds, it is possible to adapt to the dynamic changes in the plant growth process in real time, and timely adjust key environmental factors such as light, temperature and humidity, and soil fertility, to create a precise and stable ideal growth microenvironment for plants, thereby solving the problem of plant growth inhibition or damage caused by environmental fluctuations.

[0046] By real-time monitoring of the health status of plants in pots and performing maintenance operations, including fertilization, pest and disease control, and pruning branches and leaves, health risks to plants can be detected and corresponding measures can be taken as soon as possible, such as precise fertilization to make up for nutrient deficiencies, multiple means to prevent the spread of pests and diseases, and timely pruning to promote plant morphology and growth balance, thereby ensuring the healthy growth of plants in all aspects and enhancing plant vitality and ornamental effects.

[0047] By issuing real-time warnings when plant growth environment parameters are abnormal or plant health status has problems, and interacting with relevant personnel, users or professional gardeners can know the status of plants in pots in a timely manner, respond and make decisions quickly, thus achieving the convenience and efficiency of remote monitoring and management.

[0048] Through the coordinated operation of various modules, it integrates multiple functions such as plant growth data collection, environmental control, health monitoring and maintenance, forming a complete and intelligent plant maintenance closed-loop system, thereby realizing refined management and intelligent services for the entire plant growth cycle, thus solving the problem that traditional flower pots cannot effectively regulate and monitor the plant growth environment and are difficult to meet modern people's intelligent needs for plant maintenance.

[0049] Please see attached Figure 2The flowerpot includes a flowerpot body and a flowerpot bracket. The flowerpot body is used to carry plants and planting substrates. The flowerpot bracket is used to support the flowerpot body and adjust its height and angle so that the plants in the flowerpot body can receive light and be maintained.

[0050] Please see attached Figure 3 The collection management module includes a collection unit, a processing unit, and a management unit. The collection unit is used to collect growth data of different plants in various environments. Various environments include different climate zones, seasonal changes, different light intensities and spectrum combinations, temperature and humidity. The growth data includes appearance image data, environmental data, and internal physiological parameter data. The environmental data includes light, temperature and humidity, and soil status. The internal physiological parameter data includes conductivity and chlorophyll fluorescence. The processing unit is used to perform preprocessing operations on the growth data to improve the quality and availability of the data. The preprocessing operations include cleaning, conversion, and feature extraction. The management unit is used to classify and store the growth data by dimensions. The dimensions include plant species, growth stages, and environmental parameters.

[0051] Specifically, by collecting growth data of different plants in various environments, we have accumulated massive and diverse plant growth information resources, comprehensively and deeply understood the growth characteristics and demand tendencies of plants in different situations, and provided rich and detailed basis for the formulation of subsequent precise maintenance strategies. By preprocessing the growth data, the quality and availability of the data are improved, so that the data is converted into a form more suitable for analysis and processing, and key feature information is extracted to ensure that the analysis, judgment and maintenance measures based on these data are more accurate and effective. By classifying and storing the growth data by dimension, a clear, easy-to-query and call plant growth database architecture is constructed, which is convenient for quickly locating relevant data of a specific growth stage according to the plant species, and screening out plant maintenance experience data under similar growth environments according to environmental parameters, thereby achieving high efficiency and convenience of data management, and being able to quickly obtain highly targeted plant growth information when needed, improving the response speed and accuracy of the smart flowerpot system in responding to different plant maintenance needs, and promoting the intelligent and refined development of plant maintenance work.

[0052] Please see attached Figure 4 The perception and adjustment module includes an environment perception unit and an automatic adjustment unit. The environment perception unit is used to collect the growth environment parameters of the plants in the flowerpot in real time. The growth environment parameters include light intensity, light spectrum, temperature, humidity, soil pH, soil fertility, and carbon dioxide concentration. The automatic adjustment unit is used to automatically adjust the growth environment parameters according to the growth data of the plants in the flowerpot.

[0053] Specifically, by collecting the growth environment parameters of the plants in the pots in real time, the actual conditions of the plants' current environment can be grasped in a timely manner, providing an accurate data basis for subsequent targeted adjustment measures to ensure that the adjustment actions are targeted. By automatically adjusting the growth environment parameters according to the growth data of the plants in the pots, the environmental parameters can be intelligently adjusted to the most suitable state according to the characteristics and needs of the plants in different growth stages. For example, during the flowering period of the plants, the light intensity is automatically increased and the spectrum is adjusted to promote flower bud differentiation. During high temperature periods, the cooling equipment is automatically started to maintain a suitable temperature, thereby creating a dynamic, stable and highly adaptive growth microclimate for the plants, effectively improving the growth quality, stress resistance and ornamental value of the plants, and promoting the healthy and vigorous growth of plants.

[0054] Please see attached Figure 5 The automatic adjustment unit includes a threshold setting subunit, a light adjustment subunit, a temperature adjustment subunit, and a humidity adjustment subunit. The threshold setting subunit is used to determine the thresholds of the growth environment parameters of the plants in the flowerpots at different growth stages according to the growth data of the plants in the flowerpots and the health status of the plants, and to set dynamic threshold adjustment rules according to the short-term and long-term adaptability of the plants. The thresholds include light, temperature, humidity, physiological conditions, and nutritional content. The light adjustment subunit is used to adjust the spectrum combination, brightness, and irradiation angle of the fill light in real time according to the set thresholds. The temperature adjustment subunit is used to adjust the temperature according to the temperature deviation ΔT=T through the semiconductor refrigeration and heating equipment according to the set thresholds. actual -T set , where T actual is the actual temperature, T set To set the temperature, calculate the cooling and heating current I = K P ΔT+K I ∫ΔTdt+K D (dΔT / dt), where K P , K I , K D The humidity regulating subunit is used to adjust the air humidity in the flower pot according to the set threshold value, and the humidity regulating subunit is used to adjust the air humidity in the flower pot according to the volume V of the flower pot, the effective water holding capacity of the soil θ, and the current soil humidity θ. current And the plant water requirement coefficient k, calculate the watering amount m = k × V × (θ - θ current ), regulate soil moisture.

[0055] Specifically, by using data analysis algorithms based on the growth data of plants in pots and the health status of plants, the thresholds of growth environment parameters of plants in pots at different growth stages are determined, and dynamic threshold adjustment rules are set based on the short-term and long-term adaptability of plants. This allows us to deeply explore the changing patterns of the intrinsic needs of plants in the growth process, and comprehensively consider the balance between the short-term stress response and long-term growth adaptability of plants, so as to accurately adapt the environmental regulation strategies for plants in different growth periods, ensuring that the environmental parameter thresholds not only meet the key needs of the plants in the current growth stage, but can also flexibly respond to the adaptive adjustments of the plants during the growth process, providing a precise and dynamically optimized environmental management framework for plant growth.

[0056] By adjusting the spectrum combination, brightness and irradiation angle of the fill light in real time according to the set threshold, by adjusting the temperature through semiconductor cooling and heating equipment according to the set threshold, and by adjusting the air humidity and soil humidity in the flowerpot with humidity control equipment according to the set threshold, a multi-dimensional and comprehensive plant growth environment automatic adjustment system is constructed. It can quickly and accurately adjust key environmental factors such as light, temperature, humidity according to the real-time needs of plants, ensuring that plants are always in the most suitable growth environment, thereby fine-tuning and intelligently controlling the plant growth environment, effectively improving the quality and effectiveness of plant maintenance, reducing the frequency and difficulty of manual intervention, and making plant maintenance more convenient, efficient and intelligent.

[0057] Please see attached Figure 6 The monitoring and maintenance module includes a physiological monitoring unit, a pest control unit, and a nutrition management unit. The physiological monitoring unit is used to continuously monitor the physiological parameters of the plant through cameras and non-invasive sensors, and to determine the health status of the plant. The non-invasive sensors include plant conductivity sensors, chlorophyll fluorescence sensors, and stem flow sensors. The health status includes the morphological characteristics, growth vitality, photosynthesis efficiency, and water transport of the plant. The morphological characteristics include plant height, crown width, leaf shape and color, and flower and fruit conditions. The pest control unit is used to monitor plant diseases and pests through image recognition technology combined with environmental data, and to prevent and control them through a combination of physical, biological, and chemical control. The nutrition management unit is used to monitor the nutrient content in the soil in real time, and to control the amount and time of fertilizer application according to the set threshold. The nutrient content includes nitrogen, phosphorus, and potassium.

[0058] Specifically, cameras and non-invasive sensors are used to continuously monitor the physiological parameters of plants and judge the health status of plants, so as to closely monitor the subtle changes in the internal physiological functions of plants and the manifestations of external morphological characteristics, providing key basis for timely and effective intervention measures, effectively ensuring the healthy growth of plants and improving the reliability of plant maintenance.

[0059] By combining image recognition technology with environmental data to monitor plant diseases and pests, and combining physical, biological and chemical control to prevent and control them, we can effectively monitor, accurately diagnose and control plant diseases and pests in a green and integrated manner, ensure the ecological balance and sustainability of the plant growth environment, and improve the plant's disease and pest resistance and growth quality.

[0060] By real-time monitoring of the nutrient content in the soil, the amount and time of fertilization are controlled according to the set thresholds, thereby ensuring that the soil fertility is always in the best state to meet the needs of plant growth based on the specific needs of plants for nutrients at different growth stages. This can avoid plant growth retardation and poor development due to nutrient deficiency, and prevent soil compaction, environmental pollution, and plant root burn caused by excessive fertilization. This allows for fine management and intelligent regulation of plant nutrient supply, providing sufficient and balanced nutrient support for plant growth, while optimizing the utilization efficiency of fertilizer resources and reducing maintenance costs and environmental pressure.

[0061] Please see attached Figure 7 The early warning interaction module includes a communication unit, an interaction unit, and an early warning unit. The communication unit is used to transmit various data to the corresponding module. The interaction unit is used to provide an operation interface for human-computer interaction. The early warning unit is used to issue an early warning when the growth environment parameters of the plants in the flowerpot exceed the threshold. The early warning content includes problem description, cause and treatment suggestions.

[0062] Specifically, by transmitting various data to the corresponding modules, a channel for information transmission between modules is built. By providing an operation interface, human-computer interaction is carried out, so that users can efficiently manage and accurately control the plant maintenance process, thereby improving user experience. When the growth environment parameters of plants in pots exceed the threshold, early warning is issued, so that potential risks in the plant growth process can be timely detected and effectively intervened.

[0063] Please see attached Figure 8 The method of using the smart flower pot includes the following steps:

[0064] S1. Plant placement: Place the plants and their growth medium in the flowerpot body, and support the flowerpot body with a flowerpot stand, adjusting its height and angle so that the plants in the flowerpot body can receive light and undergo maintenance operations;

[0065] S2, collection management: the collection unit then collects the growth data of plants under various environments, the processing unit pre-processes the growth data, and the management unit classifies and stores them;

[0066] S3, environmental perception: the environmental perception unit then collects growth environment parameters, the physiological monitoring unit monitors the physiological parameters of the plant and determines the health status of the plant, and then the threshold setting subunit uses the data analysis algorithm to determine the threshold and dynamic adjustment rules of the plant's growth environment parameters based on the growth data and health status;

[0067] S4, environmental regulation: then the light regulation subunit, the temperature regulation subunit, and the humidity regulation subunit respectively regulate the light, temperature, and humidity of the plant according to the set thresholds;

[0068] S5. Monitoring and maintenance: The pest control unit then monitors plant pests and diseases and prevents them through a combination of physical, biological and chemical control. The nutrition management unit monitors the nutrient content in the soil in real time and controls the amount and time of fertilization according to the set thresholds.

[0069] S6. Early warning interaction: When the growth environment parameters of the plants in the flowerpots exceed the threshold, the early warning unit issues an early warning, and the interactive unit provides an operation interface for human-computer interaction.

[0070] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Intelligent flower pot system, characterized in that, include: Pot: A substrate used to hold plants and provide physical support for their roots; Collection management module: used to collect and organize the growth data of different plants in various environments; Perception and adjustment module: used to monitor the growth environment parameters of plants in the flowerpots in real time, use data analysis algorithms to determine the thresholds of the growth environment parameters, set dynamic threshold adjustment rules, and adjust the growth environment parameters of plants in the flowerpots according to the thresholds; Monitoring and maintenance module: used to monitor the health status of plants in the flowerpots in real time and perform maintenance operations, including fertilization, pest control, and pruning branches and leaves; Early warning interaction module: used to issue real-time early warnings when plant growth environment parameters are abnormal or plant health status has problems, and interact with relevant personnel.

2. The intelligent flower pot system according to claim 1, characterized in that: The flowerpot comprises a flowerpot body and a flowerpot stand. The flowerpot body is used to carry plants and a planting substrate, and the flowerpot stand is used to support the flowerpot body and adjust its height and angle so that the plants in the flowerpot body can receive light and undergo maintenance operations.

3. The intelligent flower pot system according to claim 1, characterized in that: The acquisition management module includes an acquisition unit, a processing unit, and a management unit. The acquisition unit is used to collect growth data of different plants in various environments. The various environments include different climate zones, seasonal changes, different light intensities and spectrum combinations, temperature and humidity. The growth data includes appearance image data, environmental data, and internal physiological parameter data. The environmental data includes light, temperature and humidity, and soil conditions. The internal physiological parameter data includes conductivity and chlorophyll fluorescence. The processing unit is used to perform preprocessing operations on the growth data to improve the quality and availability of the data. The preprocessing operations include cleaning, conversion, and feature extraction. The management unit is used to classify and store the growth data by dimensions. The dimensions include plant species, growth stages, and environmental parameters.

4. The intelligent flower pot system according to claim 1, characterized in that: The perception and adjustment module includes an environmental perception unit and an automatic adjustment unit. The environmental perception unit is used to collect the growth environment parameters of the plants in the flowerpot in real time. The growth environment parameters include light intensity, light spectrum, temperature, humidity, soil pH, soil fertility, and carbon dioxide concentration. The automatic adjustment unit is used to automatically adjust the growth environment parameters according to the growth data of the plants in the flowerpot.

5. The intelligent flower pot system according to claim 4, characterized in that: The automatic adjustment unit includes a threshold setting subunit, a light adjustment subunit, a temperature adjustment subunit, and a humidity adjustment subunit. The threshold setting subunit is used to determine the thresholds of the growth environment parameters of the plants in the flowerpots at different growth stages according to the growth data of the plants in the flowerpots and the health status of the plants by using a data analysis algorithm, and to set dynamic threshold adjustment rules according to the short-term and long-term adaptability of the plants. The thresholds include light, temperature, humidity, physiological conditions, and nutritional content. The light adjustment subunit is used to adjust the spectrum combination, brightness, and irradiation angle of the fill light in real time according to the set thresholds. The temperature adjustment subunit is used to adjust the temperature according to the temperature deviation ΔT=T through a semiconductor cooling and heating device according to the set thresholds. actual -T set , where T actual is the actual temperature, T set To set the temperature, calculate the cooling and heating current I = K P ΔT+K I ∫ΔTdt+K D (dΔT / dt), where K P , K I , K D The humidity regulating subunit is used to adjust the air humidity in the flower pot according to the set threshold value, and the humidity regulating subunit is used to adjust the air humidity in the flower pot according to the volume V of the flower pot, the effective water holding capacity of the soil θ, the current soil humidity θ current And the plant water requirement coefficient k, calculate the watering amount m = k × V × (θ - θ current ), regulate soil moisture.

6. The intelligent flower pot system according to claim 1, characterized in that: The monitoring and maintenance module includes a physiological monitoring unit, a pest control unit, and a nutrition management unit. The physiological monitoring unit is used to continuously monitor the physiological parameters of the plant through a camera and a non-invasive sensor, and to determine the health status of the plant. The non-invasive sensor includes a plant conductivity sensor, a chlorophyll fluorescence sensor, and a stem flow sensor. The health status includes the morphological characteristics, growth vitality, photosynthesis efficiency, and water transport of the plant. The morphological characteristics include plant height, crown width, leaf morphology and color, and flower and fruit conditions. The pest control unit is used to monitor plant diseases and pests through image recognition technology combined with environmental data, and to prevent and control them through a combination of physical, biological, and chemical control. The nutrition management unit is used to monitor the nutrient content in the soil in real time, and to control the amount and time of fertilizer application according to set thresholds. The nutrient content includes nitrogen, phosphorus, and potassium.

7. The intelligent flower pot system according to claim 1, characterized in that: The early warning interaction module includes a communication unit, an interaction unit, and an early warning unit. The communication unit is used to transmit various data to the corresponding module, the interaction unit is used to provide an operation interface for human-computer interaction, and the early warning unit is used to issue an early warning when the growth environment parameters of the plants in the flowerpot exceed the threshold value. The early warning content includes problem description, cause and treatment suggestions.

8. The method for using the smart flower pot is characterized by: The smart flower pot system according to any one of claims 1 to 7 comprises the following steps: S1. Plant placement: Place the plants and their growth medium in the flowerpot body, and support the flowerpot body with a flowerpot stand, adjusting its height and angle so that the plants in the flowerpot body can receive light and undergo maintenance operations; S2, collection management: the collection unit then collects the growth data of plants under various environments, the processing unit pre-processes the growth data, and the management unit classifies and stores them; S3, environmental perception: the environmental perception unit then collects growth environment parameters, the physiological monitoring unit monitors the physiological parameters of the plant and determines the health status of the plant, and then the threshold setting subunit uses the data analysis algorithm to determine the threshold and dynamic adjustment rules of the plant's growth environment parameters based on the growth data and health status; S4, environmental regulation: then the light regulation subunit, the temperature regulation subunit, and the humidity regulation subunit respectively regulate the light, temperature, and humidity of the plant according to the set thresholds; S5. Monitoring and maintenance: The pest control unit then monitors plant pests and diseases and prevents them through a combination of physical, biological and chemical control. The nutrition management unit monitors the nutrient content in the soil in real time and controls the amount and time of fertilization according to the set thresholds. S6. Early warning interaction: When the growth environment parameters of the plants in the flowerpots exceed the threshold, the early warning unit issues an early warning, and the interactive unit provides an operation interface for human-computer interaction.

Images