Orchid rhizosphere microenvironment intelligent cultivation system and method

Abstract

The present invention discloses an orchid rhizosphere microenvironment intelligent cultivation system and method, and relates to the field of rhizosphere monitoring technology. The system includes: a rhizosphere microenvironment data acquisition module, a rhizosphere microenvironment data quantification judgment module, an environmental parameter dynamic adjustment data acquisition module, and an environmental parameter dynamic adjustment data quantification judgment module. The present invention obtains rhizosphere microenvironment data and quantitatively judges whether to perform environment-microorganism synergy optimization. If so, the environmental parameter dynamic adjustment data is re-acquired after optimization, otherwise it is directly acquired. According to the environmental parameter dynamic adjustment data, it is quantitatively judged whether to perform environmental parameter dynamic adjustment optimization. If so, the cultivation is continued after optimization, otherwise no optimization is performed. This improves the cultivation reliability of environmental parameter monitoring and adjustment in orchid rhizosphere microenvironment cultivation, and solves the problem of low cultivation reliability in the prior art caused by the lag in environmental parameter monitoring and adjustment in orchid rhizosphere microenvironment cultivation.

Description

Technical Field

[0001] The present invention relates to the technical field of rhizosphere monitoring, and in particular to an orchid rhizosphere microenvironment intelligent cultivation system and method. Background Art

[0002] As a high-value-added ornamental plant, orchids enjoy widespread market demand worldwide. As people's living standards improve, the demand for orchid quality is also increasing. To meet market demand, orchid growers need to adopt advanced cultivation techniques to improve orchid yield and quality. With the rapid development of technologies such as the Internet of Things, big data, and artificial intelligence, smart agriculture is gradually becoming a development trend in modern agriculture. Smart agriculture uses sensors, controllers, data analysis, and other technical means to achieve real-time monitoring, precise control, and intelligent management of the agricultural production environment. Traditional orchid cultivation methods often require large amounts of chemical fertilizers, pesticides, and other chemicals, which cause certain environmental pollution. However, smart cultivation technology can reduce the use of chemicals by precisely controlling the supply of nutrients and water, achieving environmental protection and sustainable development goals.

[0003] Existing technologies use intelligent controllers to automatically adjust environmental parameters such as light intensity, temperature, and humidity based on data collected by sensors to maintain optimal conditions for orchid growth; the Internet of Things enables interconnection between devices to improve the efficiency and reliability of data transmission; and visible light imaging uses ordinary cameras or high-resolution cameras to capture visible light images of orchid rooting and root systems.

[0004] For example, the patent application with publication number CN118464112A discloses a plant root system and rhizosphere microenvironment monitoring system and method, including: a microcomputer is respectively communicated with a zoom camera and a motor driver for photographing the plant rhizosphere microenvironment, the motor driver is communicated with a ball screw motor, a slide rail buried in the soil is provided at the bottom of the ball screw motor, the slide rail is slidably connected to a nut seat, and a zoom camera is provided on the outer wall of the nut seat; the microcomputer is used to input the plant rhizosphere microenvironment image collected by the zoom camera into a U-Net++ network model for capturing image details for segmentation and feature extraction to obtain a segmented image; the segmented image and the plant rhizosphere microenvironment image are input into a DEEPLABV3+ network model for processing objects of different scales and detecting boundaries and extracting detailed features to remove features misjudged as plant roots, and obtain a segmentation map of the plant root system and the plant rhizosphere microenvironment.

[0005] For example, the soil environment multi-parameter monitoring sensor announced in the patent application with announcement number CN116067435B includes: a tube body, an integrated probe and an overlying water layer thickness monitoring probe; multiple integrated probes are arranged in the tube body in sequence along the length direction of the tube body; the overlying water layer thickness monitoring probe is arranged in the tube body, and the overlying water layer thickness monitoring probe includes a light source module, an emitting lens, a reflecting lens and a light intensity detection module. The light source module can emit two different wavelengths of light. Any light passes through the emitting lens and irradiates the overlying water layer, and is reflected by the overlying water layer to the reflecting lens. After passing through the reflecting lens, the light is incident on the light intensity detection module, and the light intensity detection module determines the thickness of the overlying water layer.

[0006] However, in the process of implementing the technical solutions of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] Because the existing technology regards environmental parameter control such as temperature, humidity, light, oxygen concentration, etc. and microbial regulation such as microbial community monitoring and beneficial bacteria supplementation as independent parts, it is impossible to adjust environmental parameters in real time according to changes in microbial communities, nor is it possible to accurately regulate microbial communities according to environmental changes. Traditional environmental parameter settings are usually static and set based on empirical values. They cannot be dynamically adjusted according to the different growth stages and actual growth status of orchids. Dynamic adjustment of environmental parameters based on monitoring results causes delayed or inaccurate adjustment of environmental parameters, which cannot meet the dynamic needs of orchid growth, and thus cannot achieve coordinated optimization of the symbiotic relationship between the environment and microorganisms. There is a problem of low cultivation reliability due to the lag in environmental parameter monitoring and adjustment in the orchid rhizosphere microenvironment cultivation. Summary of the Invention

[0008] The embodiments of the present application provide an orchid rhizosphere microenvironment intelligent cultivation system and method, thereby solving the problem of low cultivation reliability in the prior art caused by the lag in environmental parameter monitoring and adjustment in orchid rhizosphere microenvironment cultivation, and improving the cultivation reliability of environmental parameter monitoring and adjustment in orchid rhizosphere microenvironment cultivation.

[0009] An embodiment of the present application provides an orchid rhizosphere microenvironment intelligent cultivation system, comprising: a rhizosphere microenvironment data acquisition module, a rhizosphere microenvironment data quantification judgment module, an environmental parameter dynamic adjustment data acquisition module, and an environmental parameter dynamic adjustment data quantification judgment module: wherein the rhizosphere microenvironment data acquisition module is used to monitor the changes in the orchid rhizosphere in real time through environmental sensors during the orchid rhizosphere microenvironment intelligent cultivation process, and obtain rhizosphere microenvironment data; the rhizosphere microenvironment data quantification judgment module is used to quantify the degree of synergy between the culture environment and the microbial community through the rhizosphere microenvironment data to obtain a culture environment-microorganism synergy index, and judge whether to perform environment-microorganism synergy optimization based on the obtained culture environment-microorganism synergy index, and the environment-microorganism synergy optimization indicates that the orchid rhizosphere is improved by environmental regulation and microbial regulation. The effectiveness of microenvironment intelligent cultivation; the environmental parameter dynamic adjustment data acquisition module is used to re-acquire the environmental parameter dynamic adjustment data after the environment-microorganism synergy optimization is performed, otherwise the environmental parameter dynamic adjustment data is directly acquired; the environmental parameter dynamic adjustment data quantification judgment module is used to quantify the degree of matching between the cultivation environment and the orchid growth stage through the environmental parameter dynamic adjustment data to obtain the environmental parameter dynamic adjustment index, and judge whether to perform environmental parameter dynamic adjustment optimization based on the obtained environmental parameter dynamic adjustment index. If so, continue the cultivation after the environmental parameter dynamic adjustment optimization, otherwise do not perform environmental parameter dynamic adjustment optimization. Environmental parameter dynamic adjustment optimization means improving the reliability of rhizosphere microenvironment intelligent cultivation through calcium ion compensation adjustment and preset safe pH value range adjustment.

[0010] An embodiment of the present application provides an orchid rhizosphere microenvironment intelligent cultivation method, comprising: during the orchid rhizosphere microenvironment intelligent cultivation process, using an environmental sensor to monitor changes in the orchid rhizosphere in real time and obtain rhizosphere microenvironment data; quantifying the degree of synergy between the culture environment and the microbial community through the rhizosphere microenvironment data to obtain a culture environment-microorganism synergy index, and judging whether to perform environment-microorganism synergy optimization based on the obtained culture environment-microorganism synergy index. The environment-microorganism synergy optimization indicates that the effectiveness of orchid rhizosphere microenvironment intelligent cultivation is improved through environmental regulation and microorganism regulation; if environment-microorganism synergy optimization is performed, then re-obtaining environmental parameter dynamic adjustment data after performing the environment-microorganism synergy optimization, otherwise directly obtaining the environmental parameter dynamic adjustment data; quantifying the degree of matching between the culture environment and the orchid growth stage through the environmental parameter dynamic adjustment data to obtain an environmental parameter dynamic adjustment index, and judging whether to perform environmental parameter dynamic adjustment optimization based on the obtained environmental parameter dynamic adjustment index. If so, continuing the cultivation after performing the environmental parameter dynamic adjustment optimization, otherwise not performing the environmental parameter dynamic adjustment optimization. The environmental parameter dynamic adjustment optimization indicates that the reliability of rhizosphere microenvironment intelligent cultivation is improved through calcium ion compensation adjustment and preset safe pH value range adjustment.

[0011] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0012] 1. By obtaining rhizosphere microenvironment data and quantitatively judging whether to optimize the environment-microorganism synergy, if so, re-obtaining the environmental parameter dynamic adjustment data after optimization, otherwise directly obtaining it, and quantitatively judging whether to perform environmental parameter dynamic adjustment optimization based on the environmental parameter dynamic adjustment data, if so, continuing to cultivate after performing environmental parameter dynamic adjustment optimization, otherwise not optimizing, thereby improving the cultivation reliability of environmental parameter monitoring and adjustment in orchid rhizosphere microenvironment cultivation, and solving the problem of low cultivation reliability in the prior art caused by the lag in environmental parameter monitoring and adjustment in orchid rhizosphere microenvironment cultivation;

[0013] 2. By obtaining rhizosphere microenvironment data and quantifying whether environmental-microbial synergy optimization is being performed, we can more accurately understand whether the current orchid rhizosphere culture environment is conducive to orchid growth. If the environmental-microbial synergy is low, we can improve the synergy through environmental and microbial regulation, thereby improving the effectiveness of rhizosphere microenvironment intelligent cultivation;

[0014] 3. Through the dynamic adjustment data of environmental parameters, it is determined whether to dynamically adjust and optimize the environmental parameters. By real-time monitoring and adjustment of environmental parameters, it is ensured that the environmental parameters are within the optimal range, thereby promoting the optimal growth of orchids and improving the reliability of intelligent cultivation of the rhizosphere microenvironment. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A schematic diagram of the structure of an orchid rhizosphere microenvironment intelligent cultivation system provided in an embodiment of the present application;

[0016] Figure 2 A flowchart of the optimization of the environment-microorganism synergy of an orchid rhizosphere microenvironment intelligent cultivation system provided in an embodiment of the present application;

[0017] Figure 3 A flowchart of microbial regulation of an orchid rhizosphere microenvironment intelligent cultivation system provided in an embodiment of the present application;

[0018] Figure 4 A flowchart of dynamic adjustment and optimization of environmental parameters of an orchid rhizosphere microenvironment intelligent cultivation system provided in an embodiment of the present application;

[0019] Figure 5 This is a flow chart of an orchid rhizosphere microenvironment intelligent cultivation method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0020] The embodiments of the present application provide an orchid rhizosphere microenvironment intelligent cultivation system and method, which solves the problem of low cultivation reliability in the prior art caused by the lag in environmental parameter monitoring and adjustment in orchid rhizosphere microenvironment cultivation. By obtaining rhizosphere microenvironment data and quantitatively judging whether to perform environment-microorganism synergy optimization, if so, the environmental parameter dynamic adjustment data is re-obtained after optimization, otherwise it is directly obtained, and the environmental parameter dynamic adjustment optimization is quantitatively judged based on the environmental parameter dynamic adjustment data. If so, the cultivation is continued after the environmental parameter dynamic adjustment optimization, otherwise no optimization is performed, thereby improving the cultivation reliability of environmental parameter monitoring and adjustment in orchid rhizosphere microenvironment cultivation.

[0021] The technical solution in the embodiment of the present application is to solve the problem of low culture reliability caused by the lag in monitoring and adjusting environmental parameters in orchid rhizosphere microenvironment culture. The overall idea is as follows:

[0022] Environmental sensors are used to monitor changes in the orchid rhizosphere in real time, obtain rhizosphere microenvironment data, and quantitatively determine whether to optimize the environment-microorganism synergy based on the obtained rhizosphere microenvironment data to improve the effectiveness of intelligent cultivation of the orchid rhizosphere microenvironment. If so, the environmental parameter dynamic adjustment data is re-obtained after the environment-microorganism synergy optimization is performed. Otherwise, the environmental parameter dynamic adjustment data is directly obtained. Based on the environmental parameter dynamic adjustment data, it is quantitatively determined whether to perform dynamic adjustment optimization of the environmental parameters, thereby improving the cultivation reliability of environmental parameter monitoring and adjustment in orchid rhizosphere microenvironment cultivation.

[0023] In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0024] like Figure 1The figure shows a schematic diagram of the structure of an orchid rhizosphere microenvironment intelligent cultivation system provided by an embodiment of the present application. The orchid rhizosphere microenvironment intelligent cultivation system provided by an embodiment of the present application includes: a rhizosphere microenvironment data acquisition module, a rhizosphere microenvironment data quantification judgment module, an environmental parameter dynamic adjustment data acquisition module and an environmental parameter dynamic adjustment data quantification judgment module. Among them, the rhizosphere microenvironment data acquisition module is used to monitor the changes in the orchid rhizosphere in real time through environmental sensors during the orchid rhizosphere microenvironment intelligent cultivation process and obtain rhizosphere microenvironment data; the rhizosphere microenvironment data quantification judgment module is used to quantify the degree of synergy between the culture environment and the microbial community through the rhizosphere microenvironment data to obtain the culture environment-microorganism synergy index, and judge whether to perform environment-microorganism synergy optimization based on the obtained culture environment-microorganism synergy index. The environment-microorganism synergy optimization indicates that the effectiveness of orchid rhizosphere microenvironment intelligent cultivation is improved through environmental regulation and microbial regulation; the environmental parameter dynamic adjustment data acquisition module is used to determine whether to perform environment-microorganism synergy optimization. The environmental parameter dynamic adjustment data is obtained again after the environment-microorganism synergy optimization is performed, otherwise the environmental parameter dynamic adjustment data is directly obtained; the environmental parameter dynamic adjustment data quantification judgment module is used to quantify the matching degree between the culture environment and the orchid growth stage through the environmental parameter dynamic adjustment data to obtain the environmental parameter dynamic adjustment index, and judge whether to perform environmental parameter dynamic adjustment optimization based on the obtained environmental parameter dynamic adjustment index. If so, the culture is continued after the environmental parameter dynamic adjustment optimization is performed, otherwise the environmental parameter dynamic adjustment optimization is not performed. The environmental parameter dynamic adjustment optimization indicates that the reliability of the intelligent culture of the rhizosphere microenvironment is improved by adjusting the calcium ion amount compensation and the preset safe pH value range.

[0025] In this embodiment, during the cultivation process of the orchid rhizosphere microenvironment, the degree of synergy between the cultivation environment and the microbial community is low, resulting in the inability of the orchid rhizosphere to establish an effective synergistic relationship with the microbial community, which in turn affects the subsequent dynamic adjustment analysis of environmental parameters. Due to the low degree of matching between the cultivation environment and the orchid growth stage, the adjustment of environmental parameters lags, which in turn affects the reliability of the intelligent cultivation of the orchid rhizosphere microenvironment. In this application, the optimization of the environment-microorganism synergy includes environmental regulation and microbial regulation, and the effectiveness of the intelligent cultivation of the orchid rhizosphere microenvironment is improved by synergistically adjusting the environmental parameters and the microbial community. The dynamic adjustment optimization of environmental parameters includes calcium ion compensation adjustment and preset safe pH value interval adjustment, and the reliability of the intelligent cultivation of the orchid rhizosphere microenvironment is improved by dynamically adjusting the environmental parameters.

[0026] Specifically, the rhizosphere microenvironment data include environmental response delay, the first abundance of microbial communities, orchid rhizosphere data sampling frequency and nutrient solution concentration; the environmental parameter dynamic adjustment data include the second abundance of microbial communities, microbial community monitoring frequency, environmental parameter adjustment response time, microbial community change rate and culture environment-microbial synergy index. Among them, based on whether the environment-microbial synergy optimization is performed, it is judged whether the first abundance of the microbial community is equal to the second abundance of the microbial community. If the environment-microbial synergy optimization is performed, the two are not equal, otherwise the two are equal.

[0027] It should be added that obtaining the culture environment-microorganism synergy index also includes: obtaining the environment-microorganism synergy threshold, environment-microorganism synergy correction, environmental parameter dynamic adjustment threshold and environmental parameter dynamic adjustment correction from the constructed orchid intelligent culture database; the environment-microorganism synergy threshold includes the environmental response delay threshold, the microbial community abundance standard value, the orchid rhizosphere data sampling frequency threshold and the nutrient solution concentration standard value; the environment-microorganism synergy correction includes the environmental response delay correction, the microbial community first abundance correction, the orchid rhizosphere data sampling frequency correction and the nutrient solution concentration correction; the environmental parameter dynamic adjustment threshold includes the microbial community abundance standard value, the microbial community monitoring frequency threshold, the environmental parameter adjustment response time threshold, the microbial community change rate threshold and the environment-microorganism synergy threshold; the environmental parameter dynamic adjustment correction includes the microbial community second abundance correction, the microbial community monitoring frequency correction, the environmental parameter adjustment response time correction, the microbial community change rate correction and the environment-microorganism synergy correction.

[0028] It should be added that the aforementioned orchid intelligent cultivation database is a database for storing various set data established before the design of the orchid rhizosphere microenvironment intelligent cultivation system. The database includes but is not limited to the set environmental response delay, the set first abundance of the microbial community, the set orchid rhizosphere data sampling frequency, the set nutrient solution concentration and the set microbial community monitoring frequency threshold, etc. Various numerical values ​​are directly set by technical personnel, among which the setting basis of the set microbial community monitoring frequency threshold can be determined according to the actual application scenario of orchid intelligent cultivation. For example, the set microbial community monitoring frequency threshold is represented by the preset staff based on the sum and average of the historical microbial community monitoring frequencies of the microbial communities in the historical database within the preset monitoring frequency range. In addition, various numerical values ​​in the database can be set and fine-tuned by technical personnel according to actual debugging.

[0029] Furthermore, the specific steps for obtaining the culture environment-microorganism synergy index are as follows: correcting the analysis results of the ratio of the environmental response delay threshold and the environmental response delay by the environmental response delay correction amount to obtain the environmental response delay impact value; correcting the analysis results of the ratio of the microbial community abundance standard value and the microbial community first abundance deviation degree by the microbial community first abundance correction amount to obtain the microbial community first abundance impact value; correcting the analysis results of the ratio of the orchid rhizosphere data sampling frequency and the orchid rhizosphere data sampling frequency threshold by the orchid rhizosphere data sampling frequency correction amount to obtain the orchid rhizosphere data sampling frequency impact value; correcting the analysis results of the ratio of the nutrient solution concentration standard value and the nutrient solution concentration deviation degree by the nutrient solution concentration correction amount to obtain the nutrient solution concentration impact value; coupling the environmental response delay impact value, the microbial community first abundance impact value, the orchid rhizosphere data sampling frequency impact value and the nutrient solution concentration impact value to obtain the culture environment-microorganism synergy index; the culture environment-microorganism synergy index represents the quantitative data of the degree of influence of the environmental response delay, the microbial community first abundance, the orchid rhizosphere data sampling frequency and the nutrient solution concentration on the environment-microorganism synergy.

[0030] It should be added that the deviation degree of the first abundance of the microbial community represents the absolute value of the difference between the first abundance of the microbial community and the standard value of the microbial community abundance; the deviation degree of the nutrient solution concentration represents the absolute value of the difference between the nutrient solution concentration and the standard value of the nutrient solution concentration.

[0031] In this embodiment, the specific formula for obtaining the culture environment-microorganism synergy index is:

[0032] ;

[0033] ;

[0034] represents the culture environment-microorganism synergy index;

[0035] represents the environmental response delay threshold obtained from the orchid intelligent cultivation database. The environmental response delay of the orchid rhizosphere rot area is the time difference between the discovery of the orchid rhizosphere rot area and the adjustment of environmental parameters. The orchid rhizosphere rot area refers to the orchid root system infected by pathogenic microorganisms (such as bacteria or fungi), resulting in root necrosis or rot. The timestamp of the discovery of the orchid rhizosphere rot area is recorded by the soil moisture sensor, and the timestamp of the adjustment of environmental parameters is recorded by the environmental control system. The environmental control system is used to adjust environmental parameters (such as temperature, humidity, light, etc.). The environmental response delay of the orchid rhizosphere rot area is calculated based on the timestamp of the environmental parameter adjustment and the timestamp of the discovery of the orchid rhizosphere rot area.

[0036] represents the standard value of microbial community abundance obtained from the Orchid Intelligent Cultivation Database. The first abundance of the microbial community is measured by the number of microorganisms in the rhizosphere or tissue of orchids, including bacteria, fungi, and actinomycetes. Microbial samples were collected from the rhizosphere or tissue of orchids, and cell lysis and nucleic acid extraction were performed to extract microbial DNA. High-throughput sequencing technology was used to obtain the first abundance of the microbial community.

[0037] The sampling frequency of orchid rhizosphere data is obtained by collecting environmental parameters from the orchid rhizosphere environmental sensor through an automatic sampler according to the preset sampling rate, recording the sampling time and collected environmental parameters through a data logger, and calculating the sampling frequency of orchid rhizosphere data. represents the sampling frequency threshold of orchid rhizosphere data obtained from the orchid intelligent cultivation database;

[0038] Indicates the standard value of nutrient solution concentration obtained from the orchid intelligent cultivation database. Indicates the concentration of nutrient solution, which can be obtained using a nutrient solution analyzer;

[0039] Represents a constant term, a number set to avoid meaningless points in the data. Represents a constant term, a number set to avoid meaningless points in the data;

[0040] Environmental response delay correction amount obtained from the orchid intelligent cultivation database;

[0041] is the first abundance correction value of the microbial community obtained from the orchid intelligent culture database;

[0042] is the sampling frequency correction value of orchid rhizosphere data obtained from the orchid intelligent cultivation database;

[0043] Corrected nutrient solution concentration obtained from the Orchid Intelligent Cultivation Database.

[0044] In this example, the environmental response delay correction amount, the microbial community first abundance correction amount, the orchid rhizosphere data sampling frequency correction amount, and the nutrient solution concentration correction amount are respectively the influence of the environmental response delay, the microbial community first abundance, the orchid rhizosphere data sampling frequency, and the nutrient solution concentration pre-set in the orchid intelligent cultivation database on the degree of influence of the cultivation environment-microorganism synergy. Specifically, the orchid intelligent cultivation database stores preset correction amounts corresponding to the environmental response delay, the microbial community first abundance, the orchid rhizosphere data sampling frequency, and the nutrient solution concentration. There is a pre-set mapping relationship between these correction amounts and the environmental response delay, the microbial community first abundance, the orchid rhizosphere data sampling frequency, and the nutrient solution concentration. This mapping relationship can be one-to-one or many-to-one. For example, in actual applications, the real-time environmental response delay, the microbial community first abundance, the orchid rhizosphere data sampling frequency, and the nutrient solution concentration can be input into this mapping relationship to quickly obtain the corresponding correction amount.

[0045] In this example, the values ​​of the environmental response delay correction, the microbial community first abundance correction, the orchid rhizosphere data sampling frequency correction, and the nutrient solution concentration correction usually range from 0 to 1, and the sum of the four is 1.

[0046] In the present application, the parameters involved in obtaining the culture environment-microorganism synergy index are not independent of each other, but influence each other.

[0047] Specifically, environmental response delay refers to the time difference from changes in microbial data to adjustments in environmental parameters. The longer the environmental response delay, the less likely it is that the adjustment of environmental parameters can keep up with changes in the microbial community, resulting in increased fluctuations in the first abundance of the microbial community and a higher first abundance of the microbial community. The lower the sampling frequency of orchid rhizosphere data, the more likely it is that important changes in the microbial community will be missed, leading to inaccurate estimates of the abundance of the microbial community. The higher the concentration of the nutrient solution, the more likely it is that certain microorganisms will overgrow, thereby changing the composition and abundance of the microbial community and the higher the first abundance of the microbial community.

[0048] There is a negative correlation between the environmental response delay and the culture environment-microorganism synergy index. The greater the environmental response delay, the less likely the environmental parameters are to adapt quickly to changes in the microbial community, and the lower the culture environment-microorganism synergy index. There is a negative correlation between the absolute value of the difference between the first abundance of the microbial community and the standard value of the microbial community abundance and the culture environment-microorganism synergy index. The greater the absolute value of the difference between the first abundance of the microbial community and the standard value of the microbial community abundance, the greater the difference between the actual state of the orchid rhizosphere microbial community and the ideal or healthy state, and the lower the culture environment-microorganism synergy index. There is a positive correlation between the orchid rhizosphere data sampling frequency and the culture environment-microorganism synergy index. The higher the orchid rhizosphere data sampling frequency, the more accurately the changes in the rhizosphere environment can be monitored, and the higher the culture environment-microorganism synergy index. There is a negative correlation between the absolute value of the difference between the nutrient solution concentration and the standard value of the nutrient solution concentration and the culture environment-microorganism synergy index. The greater the absolute value of the difference between the nutrient solution concentration and the standard value of the nutrient solution concentration, the negative impact on the microbial community and the lower the culture environment-microorganism synergy index.

[0049] By analyzing the correlation between environmental response delay, first abundance of microbial community, orchid rhizosphere data sampling frequency and nutrient solution concentration and the culture environment-microbe synergy index, the environment-microbe synergy can be obtained more accurately and the accuracy of the environment-microbe synergy can be enhanced.

[0050] Furthermore, based on the obtained culture environment-microorganism synergy index, it is determined whether to perform environment-microorganism synergy optimization. The specific steps are: comparing the culture environment-microorganism synergy index with the preset culture environment-microorganism synergy threshold obtained from the orchid intelligent culture database. If the culture environment-microorganism synergy index is greater than or equal to the preset culture environment-microorganism synergy threshold obtained from the orchid intelligent culture database, then the environment-microorganism synergy optimization is not performed. Otherwise, the environment-microorganism synergy optimization is performed. The specific steps for performing environment-microorganism synergy optimization are: if the culture environment-microorganism synergy index is greater than or equal to the preset culture environment-microorganism synergy threshold obtained from the orchid intelligent culture database, then the environment-microorganism synergy optimization is not performed. Otherwise, the environment-microorganism synergy optimization is performed. If the culture environment-microorganism synergy safety interval is within the preset culture environment-microorganism synergy safety interval, environmental regulation and microorganism regulation are carried out. The preset culture environment-microorganism synergy safety interval indicates that the culture environment-microorganism synergy index is greater than the preset culture environment-microorganism synergy safety threshold and less than the range corresponding to the preset culture environment-microorganism synergy threshold; if the culture environment-microorganism synergy index is lower than or equal to the preset culture environment-microorganism synergy safety threshold, the initial air pressure in the orchid rhizosphere rot area is compensated by the obtained air pressure adjustment amount, and the air pressure adjustment amount is obtained by inputting the rhizosphere oxygen concentration and the culture environment-microorganism synergy index into the orchid intelligent culture database for mapping.

[0051] In this embodiment, if Figure 2As shown, it is a flow chart of the environment-microorganism synergy optimization of an orchid rhizosphere microenvironment intelligent cultivation system provided in an embodiment of the present application, and the corresponding logic is: continuously monitor environmental parameters through environmental sensors including but not limited to temperature sensors, humidity sensors, etc. When an abnormal sensor reading is detected, the relevant personnel will isolate the orchid rhizosphere rot area from the normal culture area through the regional isolation method to prevent the spread of pathogenic microorganisms to the normal culture area, and close the physical connection between the orchid rhizosphere rot area and the normal culture area, including air flow channels, liquid pipes, etc. Ensure that there is no material exchange between the orchid rhizosphere rot area and the normal culture area.

[0052] If the culture environment-microorganism synergy index is lower than or equal to the preset culture environment-microorganism synergy safety threshold, the rhizosphere oxygen concentration and the culture environment-microorganism synergy index are input into the orchid intelligent culture database for mapping to obtain the air pressure adjustment amount. The initial air pressure in the orchid rhizosphere rot area is compensated by the air pressure adjustment amount to increase the air pressure in the orchid rhizosphere rot area.

[0053] By using a near-infrared spectrometer to perform spectral analysis on the orchid rhizosphere, it was found that there were differences in the near-infrared spectra between the rotten orchid rhizosphere area and the normal culture area of ​​the orchid rhizosphere. By comparing the near-infrared spectral data, the recovery status of the orchid rhizosphere can be judged. If the rotten orchid rhizosphere area has returned to normal, the isolation will be lifted; otherwise, an early warning message will be sent to relevant personnel.

[0054] Furthermore, the specific process of environmental regulation is as follows: determine whether to take oxygen supplementation measures based on the obtained rhizosphere oxygen concentration, and if so, determine whether to adjust the pH after taking oxygen supplementation measures, otherwise directly determine whether to adjust the pH; if the pH value is within the preset safe pH value range, no pH adjustment is performed, and the preset safe pH value range indicates that the pH value is greater than or equal to the preset pH minimum value and less than or equal to the range corresponding to the preset pH maximum value; if the pH value is greater than the preset pH maximum value, the pH value is compensated by the obtained amount of acidic substance added, and the amount of acidic substance added is obtained by mapping the pH maximum deviation value and the culture environment-microorganism synergy index into the orchid intelligent culture database; if the pH value is less than the preset pH minimum value, the pH value is compensated by the obtained amount of alkaline substance added, and the amount of alkaline substance added is obtained by mapping the pH minimum deviation value and the culture environment-microorganism synergy index into the orchid intelligent culture database. to; judging whether to take oxygen supplementation measures according to the obtained rhizosphere oxygen concentration, the specific steps are as follows: if the rhizosphere oxygen concentration is less than or equal to the preset safe rhizosphere oxygen concentration threshold, the initial start-up time of the nanobubble generator is corrected by the obtained start-up time adjustment amount, and the start-up time adjustment amount is obtained by inputting the minimum deviation of the rhizosphere oxygen concentration, the environmental parameter adjustment time and the culture environment-microorganism synergy index into the orchid intelligent cultivation database for mapping; if the rhizosphere oxygen concentration is within the rhizosphere oxygen concentration safety range, the initial air pump flow is corrected by the obtained air pump flow adjustment amount, and the air pump flow adjustment amount is obtained by inputting the rhizosphere oxygen concentration and the culture environment-microorganism synergy index into the orchid intelligent cultivation database for mapping, the rhizosphere oxygen concentration safety range indicates that the rhizosphere oxygen concentration is greater than the preset safe rhizosphere oxygen concentration threshold and less than the range corresponding to the preset rhizosphere oxygen concentration threshold; if the rhizosphere oxygen concentration is greater than or equal to the preset rhizosphere oxygen concentration threshold, a prompt to shut down the oxygen supplementation device is sent.

[0055] In this embodiment, if the culture environment-microorganism synergy index is within the preset culture environment-microorganism synergy safety range, environmental control and microorganism control are performed, and environmental control precedes microorganism control. The rhizosphere oxygen concentration in the orchid rhizosphere is monitored in real time using an electrochemical sensor. Whether to perform oxygen supplementation measures is determined based on the obtained rhizosphere oxygen concentration. If so, whether to perform pH adjustment is determined after performing oxygen supplementation measures. Otherwise, whether to perform pH adjustment is directly determined. If the rhizosphere oxygen concentration is less than or equal to the preset safe rhizosphere oxygen concentration threshold, the minimum deviation of the rhizosphere oxygen concentration, the environmental parameter adjustment time, and the culture environment-microorganism synergy index are input into the orchid intelligent culture database for mapping to obtain a start-up time adjustment amount. The initial start-up time of the nanobubble generator is corrected by the start-up time adjustment amount to increase the oxygen transmission rate and supplement oxygen. The minimum deviation of the rhizosphere oxygen concentration represents the degree of deviation between the rhizosphere oxygen concentration and the preset safe rhizosphere oxygen concentration threshold.

[0056] If the rhizosphere oxygen concentration is within the rhizosphere oxygen concentration safety range, the rhizosphere oxygen concentration and the culture environment-microorganism synergy index are input into the orchid intelligent culture database for mapping to obtain the air pump flow adjustment amount. The initial air pump flow is corrected by the air pump flow adjustment amount to avoid excessive oxygen supplementation.

[0057] If the rhizosphere oxygen concentration is greater than or equal to the preset rhizosphere oxygen concentration threshold, a prompt is sent to shut down the oxygen supply equipment, which includes nanobubble generators, air pumps, etc., stop the oxygen supply operation, and start monitoring the metabolic activity of the orchid.

[0058] If the pH value monitored by the pH sensor in real time exceeds the preset maximum pH value, the maximum pH deviation and the culture environment-microorganism synergy index are input into the orchid intelligent cultivation database for mapping to determine the amount of acidic substance to be added. This acidic substance is then used to compensate for the pH value and increase the pH of the nutrient solution. The maximum pH deviation is calculated by subtracting the maximum pH value from the pH value. The acidic substance can be oxalic acid, citric acid, or other acidic substances.

[0059] If the pH value is less than the preset minimum pH value, the minimum pH deviation and the culture environment-microorganism synergy index are input into the orchid intelligent cultivation database for mapping to determine the amount of alkaline substance to be added. This amount of alkaline substance is then used to correct the pH value to lower the pH of the nutrient solution. The minimum pH deviation is calculated by subtracting the pH value from the minimum pH value. The alkaline substance can be lime powder, wood ash, etc.

[0060] Furthermore, the specific process of microbial regulation is as follows: if environmental regulation is performed, the culture environment-microbial synergy index obtained after the environmental regulation is recorded as the culture environment-microbial synergy index to be compared; otherwise, the current culture environment-microbial synergy index is recorded as the culture environment-microbial synergy index to be compared; if the probiotic abundance is within the preset safe probiotic abundance range, no microbial regulation is performed, and the preset safe probiotic abundance range indicates that the probiotic abundance is greater than or equal to the preset probiotic minimum abundance and less than or equal to the range corresponding to the preset probiotic maximum abundance; if the probiotic abundance is within the preset safe probiotic abundance range, no microbial regulation is performed. If the probiotic abundance is greater than the preset maximum probiotic abundance, the initial probiotic concentration is corrected by the obtained pure water addition amount, which is obtained by mapping the maximum probiotic abundance deviation and the culture environment to be compared-microorganism synergy index into the Orchid Intelligent Cultivation Database; if the probiotic abundance is less than the preset minimum probiotic abundance, the initial probiotic concentration is compensated by the obtained probiotic addition amount, which is obtained by mapping the minimum probiotic abundance deviation and the culture environment to be compared-microorganism synergy index into the Orchid Intelligent Cultivation Database.

[0061] In this embodiment, if Figure 3As shown, it is a flow chart of microbial regulation of an orchid rhizosphere microenvironment intelligent cultivation system provided by an embodiment of the present application, and the corresponding logic is: if environmental regulation is performed, microbial regulation is performed based on the rhizosphere oxygen concentration and pH value after regulation. If the probiotic abundance is greater than the preset probiotic maximum abundance, the growth of beneficial microorganisms is inhibited, destroying the balance of the microbial community, and pure water is added to reduce the probiotic concentration. The maximum deviation of the probiotic abundance and the culture environment-microorganism synergy index to be compared are input into the orchid intelligent cultivation database for mapping to obtain the amount of pure water added. The initial probiotic concentration is corrected by the amount of pure water added to reduce the probiotic concentration. The maximum deviation of the probiotic abundance is obtained by subtracting the preset probiotic maximum abundance from the probiotic abundance.

[0062] If the probiotic abundance is less than the preset minimum probiotic abundance, it means that its probiotic effect cannot be exerted. Probiotics are added to increase the probiotic concentration. The minimum deviation of probiotic abundance and the culture environment-microorganism synergy index to be compared are input into the orchid intelligent culture database for mapping to obtain the probiotic addition amount. The initial probiotic concentration is compensated by the probiotic addition amount to increase the probiotic concentration. The minimum deviation of probiotic abundance is obtained by subtracting the probiotic abundance from the preset minimum probiotic abundance.

[0063] Furthermore, the specific process for obtaining the dynamic adjustment index of environmental parameters is as follows: the analysis result of the ratio of the deviation degree of the second abundance of the microbial community to the standard value of the abundance of the microbial community is corrected by the second abundance correction amount of the microbial community to obtain the second abundance impact value of the microbial community; the analysis result of the ratio of the microbial community monitoring frequency threshold and the microbial community monitoring frequency is corrected by the microbial community monitoring frequency correction amount to obtain the microbial community monitoring frequency impact value; the analysis result of the ratio of the environmental parameter adjustment response time and the environmental parameter adjustment response time threshold is corrected by the environmental parameter adjustment response time correction amount, and recorded as the environmental parameter adjustment response time impact value; the analysis result of the ratio of the microbial community change rate and the microbial community change rate threshold is corrected by the microbial community change rate correction amount. Recorded as the impact value of the microbial community change rate; the analysis results of the ratio of the environment-microbial synergy threshold and the culture environment-microbial synergy index to be corrected are corrected by the environment-microbial synergy correction amount, and recorded as the environment-microbial synergy impact value; the impact value of the second abundance of the microbial community, the impact value of the microbial community monitoring frequency, the impact value of the environmental parameter adjustment response time, the impact value of the microbial community change rate and the influence value of the culture environment-microbial synergy index are coupled to obtain the environmental parameter dynamic adjustment index; the environmental parameter dynamic adjustment index represents the quantitative data of the degree of matching between the environmental parameter settings and the growth stage requirements of orchids caused by the combined effects of the second abundance of the microbial community, the frequency of microbial community monitoring, the response time of environmental parameter adjustment, the change rate of the microbial community and the culture environment-microbial synergy index.

[0064] It should be added that the deviation degree of the second abundance of the microbial community represents the absolute value of the difference between the second abundance of the microbial community and the standard value of the abundance of the microbial community.

[0065] In this embodiment, the specific formula for obtaining the environmental parameter dynamic adjustment index is:

[0066] ;

[0067] ;

[0068] Indicates the dynamic adjustment index of environmental parameters;

[0069] represents the standard value of microbial community abundance obtained from the Orchid Intelligent Cultivation Database. It represents the second abundance of the microbial community after the optimization of the environment-microorganism synergy;

[0070] represents the frequency threshold of microbial community monitoring obtained from the Orchid Smart Cultivation Database. It indicates the frequency of microbial community monitoring, which was obtained by bioluminescence detection;

[0071] It indicates the environmental parameter adjustment response time, which is the time difference from monitoring to environmental parameter change to actual adjustment. The environmental parameter adjustment response time is obtained through the data logger. It represents the response time threshold for adjusting the environmental parameters obtained from the orchid intelligent cultivation database;

[0072] represents the threshold value of microbial community change rate obtained from the Orchid Smart Cultivation Database. It represents the rate of change of microbial communities, which measures the rate of change of microbial communities over time. It uses DNA fingerprinting techniques such as denaturing gradient gel electrophoresis to analyze the fingerprint of microbial DNA to evaluate the changes in community structure and obtain the rate of change of microbial communities.

[0073] It represents the culture environment-microorganism synergy index to be corrected. Specifically, if the environment-microorganism synergy optimization is performed, the culture environment-microorganism synergy index to be corrected represents the culture environment-microorganism synergy index after the environment-microorganism synergy optimization. It should be noted that if only environmental regulation is performed, the culture environment-microorganism synergy index to be corrected is equal to the culture environment-microorganism synergy index to be compared. Otherwise, the culture environment-microorganism synergy index is the culture environment-microorganism synergy index to be corrected. represents the cultivation environment-microorganism synergy threshold obtained from the orchid intelligent cultivation database;

[0074] The second abundance correction of the microbial community was obtained from the Orchid Smart Cultivation Database;

[0075] Correction values ​​for microbial community monitoring frequency obtained from the Orchid Smart Cultivation Database;

[0076] The response time correction amount is adjusted by environmental parameters obtained from the orchid intelligent cultivation database;

[0077] Corrected amount of microbial community change rate obtained from the Orchid Smart Cultivation Database;

[0078] Correction value of the culture environment-microorganism synergy index obtained from the orchid intelligent culture database.

[0079] In this example, the correction amount for the second abundance of the microbial community, the correction amount for the frequency of microbial community monitoring, the correction amount for the response time for environmental parameter adjustment, the correction amount for the rate of change of the microbial community, and the correction amount for the culture environment-microorganism synergy index are respectively the degrees of influence of the second abundance of the microbial community, the frequency of microbial community monitoring, the response time for environmental parameter adjustment, the rate of change of the microbial community, and the culture environment-microorganism synergy index to be compared on the dynamic adjustment of environmental parameters. Specifically, the orchid intelligent culture database stores preset correction amounts corresponding to the second abundance of the microbial community, the frequency of microbial community monitoring, the response time for environmental parameter adjustment, the rate of change of the microbial community, and the culture environment-microorganism synergy index to be compared. There is a pre-set mapping relationship between these correction amounts and the second abundance of the microbial community, the frequency of microbial community monitoring, the response time for environmental parameter adjustment, the rate of change of the microbial community, and the culture environment-microorganism synergy index to be compared. This mapping relationship can be one-to-one or many-to-one. For example, in practical applications, the real-time second abundance of the microbial community, the frequency of microbial community monitoring, the response time of environmental parameter adjustment, the rate of change of the microbial community, and the culture environment-microorganism synergy index to be compared can be input into this mapping relationship to quickly obtain the corresponding correction amount.

[0080] In this example, the values ​​of the microbial community second abundance correction, microbial community monitoring frequency correction, environmental parameter adjustment response time correction, microbial community change rate correction, and culture environment-microbial synergy index correction usually range from 0 to 1, and the sum of the five is 1.

[0081] In the present application, the parameters involved in obtaining the dynamic adjustment index of environmental parameters are not independent of each other, but influence each other.

[0082] Specifically, the higher or lower the second abundance of the microbial community will affect the culture environment-microorganism synergy index. If the second abundance of the microbial community is too low, it cannot play its probiotic role, and the culture environment-microorganism synergy index will decrease; if the second abundance of the microbial community is too high, it will have a negative impact on orchid growth, and the culture environment-microorganism synergy index will decrease; the shorter the environmental parameter adjustment response time, the more efficient the environmental control system is, the faster the microbial community can adapt to the new environment, and the faster the microbial community change rate; the longer the environmental parameter adjustment response time, it means that the environmental parameters deviate from the optimal range for a long time, which will lead to imbalance of the microbial community and the lower the culture environment-microorganism synergy index.

[0083] There is a positive correlation between the absolute value of the difference between the second abundance of microbial communities and the standard value of microbial community abundance and the dynamic adjustment index of environmental parameters. The larger the absolute value of the difference between the second abundance of microbial communities and the standard value of microbial community abundance, the more problems there are in the environment, which is unfavorable for orchid growth, and the larger the dynamic adjustment index of environmental parameters. There is a negative correlation between the frequency of microbial community monitoring and the dynamic adjustment index of environmental parameters. The higher the frequency of microbial community monitoring, the more timely problems can be discovered and adjusted quickly, and the smaller the dynamic adjustment index of environmental parameters. There is a positive correlation between the response time of environmental parameter adjustment and the dynamic adjustment index of environmental parameters. The response time of environmental parameter adjustment is The longer the time, the greater the lag of adjustment, which causes the environmental parameters to be in a non-ideal state for a long time, and the larger the dynamic adjustment index of the environmental parameters; there is a positive correlation between the absolute value of the difference between the microbial community change rate and the standard value of the microbial community abundance and the dynamic adjustment index of the environmental parameters. The greater the microbial community change rate, the greater the environmental fluctuation, and the larger the dynamic adjustment index of the environmental parameters; there is a negative correlation between the culture environment-microorganism synergy index and the dynamic adjustment index of the environmental parameters. The larger the culture environment-microorganism synergy index, the better the synergy between the environment and microorganisms, the more conducive to orchid growth, and the smaller the dynamic adjustment index of the environmental parameters.

[0084] By analyzing the correlation between the secondary abundance of microbial communities, microbial community monitoring frequency, environmental parameter adjustment response time, microbial community change rate, and culture environment-microorganism synergy index and the environmental parameter dynamic adjustment index, the environmental parameter dynamic adjustment index can be obtained more accurately and the reliability of the dynamic adjustment of environmental parameters can be enhanced.

[0085] Furthermore, based on the obtained environmental parameter dynamic adjustment index, it is determined whether to perform dynamic adjustment and optimization of the environmental parameters. The specific steps are: comparing the environmental parameter dynamic adjustment index with the preset environmental parameter dynamic adjustment threshold value obtained from the orchid intelligent cultivation database. If the environmental parameter dynamic adjustment index is lower than or equal to the preset environmental parameter dynamic adjustment threshold value obtained from the orchid intelligent cultivation database, the environmental parameter dynamic optimization adjustment is not performed, otherwise the environmental parameter dynamic optimization adjustment is performed; the environmental parameter dynamic optimization adjustment includes calcium ion amount compensation adjustment and preset safe pH value interval adjustment: calcium ion amount compensation adjustment, the specific process is as follows: judging whether to perform calcium ion amount compensation adjustment based on the calcium ion concentration and the preset calcium ion concentration, if so, performing the preset safe pH value interval adjustment after performing the calcium ion amount compensation adjustment, otherwise not performing the preset safe pH value interval adjustment; performing calcium ion amount compensation adjustment The steps of the section are: if the calcium ion concentration is within the preset safe calcium ion concentration range, no calcium ion compensation adjustment is performed, and the preset safe calcium ion concentration range represents the corresponding range in which the calcium ion concentration is greater than or equal to the preset minimum calcium ion concentration and less than or equal to the preset maximum calcium ion concentration; if the calcium ion concentration is greater than the preset maximum calcium ion concentration, the initial irrigation frequency of the orchid rhizosphere is compensated by the obtained irrigation frequency increase, and the irrigation frequency increase is obtained by inputting the maximum deviation value of the calcium ion concentration and the dynamic adjustment index of the environmental parameters into the orchid intelligent cultivation database for mapping; if the calcium ion concentration is less than the preset minimum calcium ion concentration, the initial calcium ion amount in the orchid rhizosphere nutrient solution is compensated by the obtained calcium ion addition amount, and the calcium ion addition amount is obtained by inputting the minimum deviation value of the calcium ion concentration and the dynamic adjustment index of the environmental parameters into the orchid intelligent cultivation database for mapping.

[0086] In this embodiment, if Figure 4 As shown, it is a flow chart of dynamic adjustment and optimization of environmental parameters of an orchid rhizosphere microenvironment intelligent cultivation system provided by an embodiment of the present application. The corresponding logic is: if the environmental parameter dynamic adjustment index is lower than or equal to the preset environmental parameter dynamic adjustment threshold value obtained from the orchid intelligent cultivation database, the environmental parameter dynamic optimization adjustment will not be performed, the cultivation environment parameters and microbial ratios will be recorded, and the growth data of the orchid under the environmental parameters and microbial ratios, such as plant height, leaf area, root length, etc., will be recorded at the same time. The specific steps of calcium ion compensation adjustment are: if the calcium ion concentration is greater than the preset maximum calcium ion concentration, the maximum deviation value of the calcium ion concentration and the dynamic adjustment index of the environmental parameters are input into the orchid intelligent cultivation database for mapping to obtain the increase in irrigation frequency to reduce the calcium ion concentration in the orchid rhizosphere nutrient solution. The maximum deviation value of the calcium ion concentration is obtained by subtracting the preset maximum calcium ion concentration from the calcium ion concentration.

[0087] If the calcium ion concentration is less than the preset minimum calcium ion concentration, the minimum calcium ion concentration deviation value and the dynamic adjustment index of the environmental parameters are input into the orchid intelligent cultivation database for mapping to obtain the calcium ion addition amount. The initial calcium ion amount in the orchid rhizosphere nutrient solution is compensated by the calcium ion addition amount to increase the calcium ion concentration in the orchid rhizosphere nutrient solution. The minimum calcium ion concentration deviation value is obtained by subtracting the calcium ion concentration from the preset minimum calcium ion concentration.

[0088] Specifically, the specific steps for adjusting the preset safe pH value interval are as follows: if environmental regulation is performed, the pH value obtained after the environmental regulation is recorded as the pH value to be compared, otherwise the current pH value is recorded as the pH value to be compared; if the pH value to be compared is still greater than the preset pH maximum value, the preset pH maximum value is corrected by the obtained preset pH maximum value adjustment amount, and the preset pH maximum value adjustment amount is obtained by inputting the environmental parameter dynamic adjustment index into the orchid intelligent cultivation database for mapping; if the pH value to be compared is still less than the preset pH minimum value, the preset pH minimum value is compensated by the obtained preset pH minimum value compensation amount, and the preset pH minimum value compensation amount is obtained by inputting the environmental parameter dynamic adjustment index into the orchid intelligent cultivation database for mapping; based on the corrected preset safe pH value interval, a corrected culture environment-microorganism synergy index is obtained; if the corrected culture environment-microorganism synergy index is greater than or equal to the preset culture environment-microorganism synergy threshold, no intervention is performed; if the corrected culture environment-microorganism synergy index is lower than the preset culture environment-microorganism synergy threshold, an early warning prompt is issued.

[0089] In this embodiment, if Figure 4 As shown, it is a flow chart of dynamic adjustment optimization of environmental parameters of an orchid rhizosphere microenvironment intelligent cultivation system provided in an embodiment of the present application. The corresponding logic is: if the pH value to be compared is still greater than the preset pH maximum value, the environmental parameter dynamic adjustment index is input into the orchid intelligent cultivation database for mapping to obtain the preset pH maximum value adjustment amount, and the preset pH maximum value is subtracted from the preset pH maximum value adjustment amount to improve the environment-microorganism synergy.

[0090] If the pH value to be compared is still lower than the preset pH minimum value, the environmental parameter dynamic adjustment index is input into the orchid intelligent cultivation database for mapping to obtain the preset pH minimum value compensation amount, and the preset pH minimum value compensation amount is added to the preset pH minimum value to improve the environment-microorganism synergy.

[0091] like Figure 5As shown, it is a flow chart of an orchid rhizosphere microenvironment intelligent cultivation method provided in an embodiment of the present application. The orchid rhizosphere microenvironment intelligent cultivation method provided in an embodiment of the present application includes: during the orchid rhizosphere microenvironment intelligent cultivation process, the changes in the orchid rhizosphere are monitored in real time by an environmental sensor to obtain rhizosphere microenvironment data; the degree of synergy between the culture environment and the microbial community is quantified by the rhizosphere microenvironment data to obtain a culture environment-microorganism synergy index; based on the obtained culture environment-microorganism synergy index, it is determined whether to perform environment-microorganism synergy optimization, and the environment-microorganism synergy optimization indicates that the effectiveness of orchid rhizosphere microenvironment intelligent cultivation is improved by environmental regulation and microbial regulation. ; If the environment-microorganism synergy optimization is performed, the environmental parameter dynamic adjustment data is re-obtained after the environment-microorganism synergy optimization is performed, otherwise the environmental parameter dynamic adjustment data is directly obtained; the environmental parameter dynamic adjustment data is used to quantify the degree of matching between the culture environment and the orchid growth stage to obtain the environmental parameter dynamic adjustment index, and based on the obtained environmental parameter dynamic adjustment index, it is determined whether to perform environmental parameter dynamic adjustment optimization. If so, the culture is continued after the environmental parameter dynamic adjustment optimization is performed, otherwise the environmental parameter dynamic adjustment optimization is not performed. The environmental parameter dynamic adjustment optimization indicates that the reliability of intelligent culture of the rhizosphere microenvironment is improved by adjusting the calcium ion amount compensation and the preset safe pH value range.

[0092] In this embodiment, a variety of environmental sensors are deployed in the orchid cultivation area for real-time monitoring of changes in the orchid rhizosphere microenvironment, including but not limited to humidity sensors, temperature sensors, pH sensors, nutrient concentration sensors, etc. The changes in the orchid rhizosphere are monitored in real time by environmental sensors to obtain rhizosphere microenvironment data, which include but not limited to soil moisture, temperature, pH value, nutrient concentration, etc. If the environment-microorganism synergy is optimized, the environment-microorganism coordination is improved through environmental regulation such as oxygen supplementation measures and microbial regulation such as adding probiotic concentration. Otherwise, the environment-microorganism synergy is not optimized. If the environmental parameters are dynamically adjusted and optimized, the reliability of the intelligent cultivation of the rhizosphere microenvironment is improved by adjusting the environmental parameters such as calcium ion compensation adjustment and preset safe pH value range adjustment. After the dynamic adjustment and optimization of the environmental parameters, the intelligent cultivation of the orchid rhizosphere microenvironment is continued, and the changes in the orchid rhizosphere microenvironment are continuously monitored to observe whether the cultivation environment matches the orchid growth stage.

[0093] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0094] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0095] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0096] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0097] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0098] Obviously, those skilled in the art may make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, if such modifications and variations fall within the scope of the claims and their equivalents, the present invention is intended to include such modifications and variations.

Claims

1. An orchid rhizosphere microenvironment intelligent cultivation system, characterized in that: It includes rhizosphere microenvironment data acquisition module, rhizosphere microenvironment data quantitative judgment module, environmental parameter dynamic adjustment data acquisition module and environmental parameter dynamic adjustment data quantitative judgment module: The rhizosphere microenvironment data acquisition module is used to monitor the changes in the orchid rhizosphere in real time through environmental sensors during the orchid rhizosphere microenvironment intelligent cultivation process and obtain rhizosphere microenvironment data; The rhizosphere microenvironment data quantification judgment module is used to quantify the degree of synergy between the culture environment and the microbial community through the rhizosphere microenvironment data to obtain a culture environment-microbial synergy index. The culture environment-microbial synergy index is obtained by coupling the environmental response delay impact value, the first abundance impact value of the microbial community, the orchid rhizosphere data sampling frequency impact value, and the nutrient solution concentration impact value. Based on the obtained culture environment-microbial synergy index, it is determined whether to perform environment-microbial synergy optimization. The environment-microbial synergy optimization indicates that the effectiveness of intelligent cultivation of the orchid rhizosphere microenvironment is improved through environmental regulation and microbial regulation. The environmental parameter dynamic adjustment data acquisition module is used to reacquire the environmental parameter dynamic adjustment data after the environment-microorganism synergy optimization is performed if the environment-microorganism synergy optimization is performed, otherwise directly acquire the environmental parameter dynamic adjustment data; The environmental parameter dynamic adjustment data quantification judgment module is used to quantify the degree of matching between the culture environment and the orchid growth stage through the environmental parameter dynamic adjustment data to obtain an environmental parameter dynamic adjustment index, and judge whether to perform environmental parameter dynamic adjustment optimization based on the obtained environmental parameter dynamic adjustment index. If so, continue to cultivate after performing environmental parameter dynamic adjustment optimization, otherwise do not perform environmental parameter dynamic adjustment optimization. The environmental parameter dynamic adjustment optimization indicates that the reliability of intelligent cultivation of the rhizosphere microenvironment is improved by calcium ion compensation adjustment and preset safe pH value range adjustment.

2. An orchid rhizosphere microenvironment intelligent cultivation system as claimed in claim 1, characterized in that: The rhizosphere microenvironmental data include environmental response delay, first abundance of microbial community, orchid rhizosphere data sampling frequency and nutrient solution concentration; The environmental parameter dynamic adjustment data includes the second abundance of the microbial community, the frequency of microbial community monitoring, the environmental parameter adjustment response time, the microbial community change rate and the culture environment-microbial synergy index; The method of obtaining the culture environment-microorganism synergy index further includes: Obtain the environment-microorganism synergy threshold, environment-microorganism synergy correction, environmental parameter dynamic adjustment threshold, and environmental parameter dynamic adjustment correction from the constructed orchid intelligent cultivation database; The environment-microorganism synergy threshold includes the environmental response delay threshold, the microbial community abundance standard value, the orchid rhizosphere data sampling frequency threshold and the nutrient solution concentration standard value; The environment-microorganism synergy correction value includes an environmental response delay correction value, a microbial community first abundance correction value, an orchid rhizosphere data sampling frequency correction value, and a nutrient solution concentration correction value; The dynamic adjustment thresholds of environmental parameters include the standard value of microbial community abundance, the threshold of microbial community monitoring frequency, the threshold of environmental parameter adjustment response time, the threshold of microbial community change rate, and the threshold of environment-microbial synergy; The environmental parameter dynamic adjustment correction amount includes a microbial community second abundance correction amount, a microbial community monitoring frequency correction amount, an environmental parameter adjustment response time correction amount, a microbial community change rate correction amount and an environment-microbial synergy correction amount.

3. An orchid rhizosphere microenvironment intelligent cultivation system as claimed in claim 2, characterized in that: The method of obtaining the culture environment-microorganism synergy index further includes: The analysis result of the environmental response delay threshold and the environmental response delay ratio is corrected by the environmental response delay correction amount to obtain the environmental response delay impact value; The first abundance correction value of the microbial community is used to correct the analysis results of the proportion of the deviation between the standard value of the microbial community abundance and the first abundance of the microbial community to obtain the first abundance impact value of the microbial community; The orchid rhizosphere data sampling frequency correction value was used to correct the ratio analysis results of the orchid rhizosphere data sampling frequency and the orchid rhizosphere data sampling frequency threshold, and the orchid rhizosphere data sampling frequency impact value was obtained; The analysis results of the ratio of the standard value of the nutrient solution concentration to the degree of deviation of the nutrient solution concentration are corrected by the nutrient solution concentration correction amount to obtain the nutrient solution concentration impact value; The culture environment-microorganism synergy index represents quantitative data on the degree of influence of the environmental response delay, the first abundance of the microbial community, the orchid rhizosphere data sampling frequency and the nutrient solution concentration on the environment-microorganism synergy.

4. The orchid rhizosphere microenvironment intelligent cultivation system according to claim 2, characterized in that: The specific process of obtaining the dynamic adjustment index of environmental parameters is as follows: The second abundance correction value of the microbial community was used to correct the analysis results of the ratio of the deviation degree of the second abundance of the microbial community to the standard value of the abundance of the microbial community, and the second abundance impact value of the microbial community was obtained; The microbial community monitoring frequency correction value was used to correct the microbial community monitoring frequency threshold and the analysis results of the proportion of microbial community monitoring frequency to obtain the microbial community monitoring frequency impact value; The analysis result of the ratio of the environmental parameter adjustment response time to the environmental parameter adjustment response time threshold is corrected using the environmental parameter adjustment response time correction amount, which is recorded as the environmental parameter adjustment response time impact value; The analysis results of the ratio of the microbial community change rate to the microbial community change rate threshold were corrected by the microbial community change rate correction amount, which was recorded as the microbial community change rate impact value; The analysis results of the ratio of the environment-microorganism synergy threshold and the culture environment-microorganism synergy index to be corrected are corrected by the environment-microorganism synergy correction value, which is recorded as the environment-microorganism synergy impact value; The environmental parameter dynamic adjustment index was obtained by coupling the impact value of the second abundance of the microbial community, the impact value of the microbial community monitoring frequency, the impact value of the environmental parameter adjustment response time, the impact value of the microbial community change rate, and the impact value of the culture environment-microbial synergy index. The environmental parameter dynamic adjustment index represents the quantitative data of the matching degree between the environmental parameter setting and the orchid growth stage requirements, which is jointly affected by the second abundance of the microbial community, the frequency of microbial community monitoring, the environmental parameter adjustment response time, the microbial community change rate and the culture environment-microorganism synergy index.

5. The orchid rhizosphere microenvironment intelligent cultivation system according to claim 1, characterized in that: The specific steps of determining whether to perform environment-microorganism synergy optimization based on the obtained culture environment-microorganism synergy index are as follows: The culture environment-microorganism synergy index is compared with the preset culture environment-microorganism synergy threshold obtained from the orchid intelligent culture database. If the culture environment-microorganism synergy index is greater than or equal to the preset culture environment-microorganism synergy threshold obtained from the orchid intelligent culture database, the environment-microorganism synergy optimization is not performed; otherwise, the environment-microorganism synergy optimization is performed; The specific steps for optimizing the environment-microorganism synergy are: If the culture environment-microorganism synergy index is within the preset culture environment-microorganism synergy safety interval, environmental control and microorganism control are performed. The preset culture environment-microorganism synergy safety interval indicates that the culture environment-microorganism synergy index is greater than the preset culture environment-microorganism synergy safety threshold and less than the range corresponding to the preset culture environment-microorganism synergy threshold; If the culture environment-microorganism synergy index is lower than or equal to the preset culture environment-microorganism synergy safety threshold, the initial air pressure in the orchid rhizosphere rot area is compensated by the obtained air pressure adjustment amount, which is obtained by mapping the rhizosphere oxygen concentration and the culture environment-microorganism synergy index into the orchid intelligent culture database.

6. The orchid rhizosphere microenvironment intelligent cultivation system according to claim 5, characterized in that: The specific process of the environmental regulation is as follows: Determine whether to perform oxygen supplementation measures based on the obtained rhizosphere oxygen concentration. If so, determine whether to perform pH adjustment after performing oxygen supplementation measures. Otherwise, determine whether to perform pH adjustment directly. If the pH value is within a preset safe pH value range, no pH adjustment is performed. The preset safe pH value range represents a range where the pH value is greater than or equal to a preset minimum pH value and less than or equal to a preset maximum pH value. If the pH value is greater than the preset maximum pH value, the pH value is compensated by adding an acidic substance, wherein the amount of acidic substance added is obtained by mapping the maximum pH deviation value and the culture environment-microorganism synergy index into the orchid intelligent culture database; If the pH value is less than the preset minimum pH value, the pH value is compensated by adding an alkaline substance, wherein the amount of alkaline substance added is obtained by mapping the minimum pH deviation value and the culture environment-microorganism synergy index into the orchid intelligent culture database; The specific steps of determining whether to take oxygen supplementation measures based on the obtained rhizosphere oxygen concentration are as follows: If the rhizosphere oxygen concentration is less than or equal to the preset safe rhizosphere oxygen concentration threshold, the initial startup time of the nanobubble generator is corrected by the obtained startup time adjustment value, which is obtained by mapping the minimum deviation of the rhizosphere oxygen concentration, the environmental parameter adjustment time, and the culture environment-microorganism synergy index into the orchid intelligent cultivation database; If the rhizosphere oxygen concentration is within the rhizosphere oxygen concentration safety range, the initial air pump flow rate is corrected by the obtained air pump flow adjustment amount, wherein the air pump flow adjustment amount is obtained by inputting the rhizosphere oxygen concentration and the culture environment-microorganism synergy index into the orchid intelligent culture database for mapping, and the rhizosphere oxygen concentration safety range represents the range where the rhizosphere oxygen concentration is greater than a preset safe rhizosphere oxygen concentration threshold and less than a preset rhizosphere oxygen concentration threshold; If the rhizosphere oxygen concentration is greater than or equal to the preset rhizosphere oxygen concentration threshold, a prompt to shut down the oxygen supply equipment will be sent.

7. The orchid rhizosphere microenvironment intelligent cultivation system according to claim 5, characterized in that: The specific process of microbial regulation is as follows: If environmental regulation is performed, the culture environment-microorganism synergy index obtained after environmental regulation is recorded as the culture environment-microorganism synergy index to be compared; otherwise, the current culture environment-microorganism synergy index is recorded as the culture environment-microorganism synergy index to be compared; If the probiotic abundance is within the preset safe probiotic abundance range, no microbial regulation is performed. The preset safe probiotic abundance range represents the range where the probiotic abundance is greater than or equal to the preset minimum probiotic abundance and less than or equal to the preset maximum probiotic abundance. If the probiotic abundance is greater than the preset maximum probiotic abundance, the initial probiotic concentration is corrected by the amount of pure water added, which is obtained by mapping the maximum probiotic abundance deviation and the culture environment-microorganism synergy index to be compared into the orchid intelligent culture database; If the probiotic abundance is less than the preset minimum probiotic abundance, the initial probiotic concentration is compensated by the obtained probiotic addition amount, which is obtained by mapping the minimum probiotic abundance deviation and the culture environment-microorganism synergy index to be compared into the orchid intelligent culture database.

8. The orchid rhizosphere microenvironment intelligent cultivation system according to claim 1, characterized in that: The specific steps of determining whether to perform dynamic adjustment optimization of environmental parameters based on the obtained dynamic adjustment index of environmental parameters are as follows: Comparing the environmental parameter dynamic adjustment index with the preset environmental parameter dynamic adjustment threshold obtained from the orchid intelligent cultivation database; if the environmental parameter dynamic adjustment index is lower than or equal to the preset environmental parameter dynamic adjustment threshold obtained from the orchid intelligent cultivation database, no dynamic optimization adjustment of the environmental parameters is performed; otherwise, dynamic optimization adjustment of the environmental parameters is performed; The dynamic optimization and adjustment of environmental parameters includes calcium ion compensation adjustment and preset safe pH value range adjustment: The specific process of the calcium ion compensation adjustment is as follows: Determine whether to perform calcium ion compensation adjustment according to the calcium ion concentration and the preset calcium ion concentration. If so, perform the preset safe pH value interval adjustment after the calcium ion compensation adjustment. Otherwise, do not perform the preset safe pH value interval adjustment. The steps of performing calcium ion compensation adjustment are: If the calcium ion concentration is within a preset safe calcium ion concentration range, no calcium ion compensation adjustment is performed. The preset safe calcium ion concentration range represents a range where the calcium ion concentration is greater than or equal to a preset minimum calcium ion concentration and less than or equal to a preset maximum calcium ion concentration. If the calcium ion concentration is greater than the preset maximum calcium ion concentration, the initial irrigation frequency of the orchid rhizosphere is compensated by the obtained irrigation frequency increase, which is obtained by mapping the maximum calcium ion concentration deviation value and the environmental parameter dynamic adjustment index into the orchid intelligent cultivation database; If the calcium ion concentration is less than the preset minimum calcium ion concentration, the initial calcium ion amount in the orchid rhizosphere nutrient solution is compensated by the obtained calcium ion addition amount, which is obtained by inputting the minimum deviation value of the calcium ion concentration and the dynamic adjustment index of the environmental parameters into the orchid intelligent cultivation database for mapping.

9. An orchid rhizosphere microenvironment intelligent cultivation system as claimed in claim 8, characterized in that: The specific steps for adjusting the preset safe pH range are: If the environment is regulated, the pH value obtained after the regulation is recorded as the pH value to be compared; otherwise, the current pH value is recorded as the pH value to be compared; If the pH value to be compared is still greater than the preset pH maximum value, the preset pH maximum value is corrected by the preset pH maximum value adjustment amount obtained, wherein the preset pH maximum value adjustment amount is obtained by inputting the environmental parameter dynamic adjustment index into the orchid intelligent cultivation database for mapping; If the pH value to be compared is still less than the preset minimum pH value, the preset minimum pH value is compensated by the preset minimum pH value compensation amount obtained, wherein the preset minimum pH value compensation amount is obtained by inputting the environmental parameter dynamic adjustment index into the orchid intelligent cultivation database for mapping; A revised culture environment-microorganism synergy index is obtained based on the revised preset safe pH value range; If the corrected culture environment-microorganism synergy index is greater than or equal to the preset culture environment-microorganism synergy threshold, no intervention is performed; If the corrected culture environment-microorganism synergy index is lower than the preset culture environment-microorganism synergy threshold, an early warning prompt will be issued.

10. A method for intelligent cultivation of orchid rhizosphere microenvironment, applied to the orchid rhizosphere microenvironment intelligent cultivation system according to any one of claims 1 to 9, characterized in that: include: During the intelligent cultivation of orchid rhizosphere microenvironment, environmental sensors are used to monitor the changes in the orchid rhizosphere in real time and obtain rhizosphere microenvironment data; The degree of synergy between the culture environment and the microbial community is quantified by rhizosphere microenvironment data to obtain a culture environment-microbe synergy index. Based on the obtained culture environment-microbe synergy index, it is determined whether to perform environment-microbe synergy optimization. The environment-microbe synergy optimization indicates that the effectiveness of intelligent culture of orchid rhizosphere microenvironment is improved through environmental and microbial regulation. If the environment-microorganism synergy optimization is performed, the environmental parameter dynamic adjustment data is re-acquired after the environment-microorganism synergy optimization is performed; otherwise, the environmental parameter dynamic adjustment data is directly acquired; The dynamic adjustment data of environmental parameters are used to quantify the degree of matching between the culture environment and the orchid growth stage to obtain an environmental parameter dynamic adjustment index. Based on the obtained environmental parameter dynamic adjustment index, it is determined whether to perform dynamic adjustment optimization of environmental parameters. If so, the culture is continued after the dynamic adjustment optimization of environmental parameters. Otherwise, the dynamic adjustment optimization of environmental parameters is not performed. The dynamic adjustment optimization of environmental parameters indicates that the reliability of intelligent culture of the rhizosphere microenvironment is improved by compensating the amount of calcium ions and adjusting the preset safe pH value range.

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