Intelligent anoectochilus formosanus cultivation system

Abstract

The invention relates to the technical field of intelligent cultivation of anoectochilus formosanus, and discloses an intelligent cultivation system for anoectochilus formosanus. The system collects anoectochilus formosanus production environment data through an environment monitoring module and a water and fertilizer management module, and sends the collected data to a data analysis module through a wireless transmission protocol; the data analysis module calculates the optimal growth temperature, the sunshine duration, the growth moisture demand, the nutrient concentration, the photosynthetically active radiation, the fertilizer ratio and the soil moisture saturation according to the data and calculates the expected maturation time of the anoectochilus formosanus by integrating the numerical values, and the growth monitoring module analyzes the expected maturation time of the anoectochilus formosanus. And judging whether the expected maturation time of the anoectochilus formosanus accords with the expected time of the system or not, if not, generating a cultivation adjustment signal, and performing intelligent adjustment on the growth environment of the anoectochilus formosanus by an intelligent adjustment module according to the cultivation adjustment signal, and generating an anoectochilus formosanus cultivation optimization report. And the user interaction module sends the anoectochilus formosanus cultivation optimization report to the intelligent display terminal.

Description

Technical Field

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

[0002] There are more than 30 species of Anoectochilus, which are mainly distributed in Southeast Asia, southern China, and South Pacific island countries. There are 20 species and 2 hybrids in my country, which are mainly distributed in Fujian, Taiwan, Zhejiang, Guangdong, Jiangxi, etc. Anoectochilus is a traditional precious medicinal material in my country and a national second-level protected plant. It has the effects of clearing heat and cooling blood, removing dampness and detoxifying, calming the liver and promoting diuresis, and anti-inflammatory.

[0003] The intelligent cultivation of golden thread vine mainly refers to the use of modern scientific and technological means, such as the Internet of Things, big data, artificial intelligence, etc. to realize intelligent monitoring and management of its growth environment, nutrient management, pest and disease control, etc. By using sensors to monitor soil moisture, light, temperature and other factors in real time, it is possible to maintain the optimal growth conditions of golden thread vine, thereby improving growth efficiency. Through optimized cultivation management, the yield and medicinal value of golden thread vine can be increased while maintaining its good appearance quality.

[0004] Currently, the cultivation of golden thread vine is mainly managed manually. This cultivation method cannot fully monitor the growth cycle of golden thread vine, resulting in the inability to promptly handle abnormal situations during the growth of golden thread vine, thereby reducing the yield of golden thread vine. Summary of the invention

[0005] 1. Technical issues to be solved

[0006] In view of the deficiencies in the prior art, the present invention provides an intelligent cultivation system for golden thread vine, which has the advantages of using a temperature sensor to collect environmental and soil temperature data, a humidity sensor to collect humidity data, a light sensor to collect light intensity data, and a carbon dioxide sensor to collect carbon dioxide concentration data through an environmental monitoring module, and a water and fertilizer management module to collect soil moisture data, a nutrient sensor to collect soil nutrient data, and a pH sensor to collect soil acidity and alkalinity data, and the above-mentioned collected data are sent to a data analysis module through a wireless transmission protocol. The data analysis module calculates the optimal growth temperature Zswd, sunshine hours Rzss, growth water demand Ssxq, nutrient concentration Yfnd, photosynthetically active radiation Ghfs, fertilizer ratio Flpb, and soil moisture saturation according to the data transmitted by the environmental monitoring module and the water and fertilizer management module. and degree Sfbh, and the expected maturity time Yqls of the golden thread vine is calculated based on the above numerical values ​​and transmitted to the growth monitoring module. The growth monitoring module analyzes the expected maturity time Yqls of the golden thread vine to determine whether the expected maturity time of the golden thread vine meets the system expected time. When it does not meet the expectation, a cultivation adjustment signal PZ is generated and sent to the intelligent adjustment module. When the intelligent adjustment module receives the cultivation adjustment signal PZ, it intelligently adjusts the growth environment of the golden thread vine, and generates a golden thread vine cultivation optimization report and sends it to the user interaction module. The user interaction module sends the golden thread vine cultivation optimization report to the intelligent display terminal, analyzes and calculates the data of the growth environment of the golden thread vine, monitors the abnormality of the growth cycle of the golden thread vine, and uses an intelligent method to timely adjust the abnormality, thereby improving the growth environment of the golden thread vine, increasing the yield of the golden thread vine, and solving the above problems.

[0007] (II) Technical solution

[0008] To achieve the above object, the present invention provides the following technical solutions: an intelligent cultivation system for Anoectochilus roxburghii, comprising an environmental monitoring module, a water and fertilizer management module, a data analysis module, a growth monitoring module, an intelligent adjustment module and a user interaction module;

[0009] The environmental monitoring module collects environmental and soil temperature data through a temperature sensor, humidity data through a humidity sensor, light intensity data through a light sensor, and carbon dioxide concentration data through a carbon dioxide sensor;

[0010] The water and fertilizer management module collects soil moisture data through a soil moisture sensor, soil nutrient data through a nutrient sensor, and soil acidity and alkalinity data through a pH sensor;

[0011] The above collected data is sent to the data analysis module via a wireless transmission protocol;

[0012] The data analysis module calculates the optimal growth temperature Zswd, sunshine hours Rzss, growth water requirement Ssxq, nutrient concentration Yfnd, photosynthetically active radiation Ghfs, fertilizer ratio Flpb and soil water saturation Sfbh according to the data transmitted from the environmental monitoring module and the water and fertilizer management module, and calculates the expected maturity time Yqls of the golden thread vine based on the above numerical values ​​and transmits it to the growth monitoring module;

[0013] The growth monitoring module analyzes the expected maturity time Yqls of the golden thread vine to determine whether the expected maturity time of the golden thread vine meets the system expectation time. When it does not meet the expectation, it generates a cultivation adjustment signal PZ and sends it to the intelligent adjustment module;

[0014] When the intelligent adjustment module receives the cultivation adjustment signal PZ, it intelligently adjusts the growth environment of the golden thread vine, and generates a golden thread vine cultivation optimization report and sends it to the user interaction module;

[0015] The user interaction module sends the golden thread vine cultivation optimization report to the intelligent display terminal.

[0016] Preferably, the data analysis module calculates the optimal growth temperature Zswd according to the data transmitted by the environment monitoring module and the water and fertilizer management module. The calculation formula is as follows:

[0017] GR(T)=a*T 2 +b*T+c

[0018]

[0019] In the formula, GR represents the growth rate of the plant, T represents the plant growth temperature, a represents the quadratic term coefficient of the growth rate with respect to temperature, reflecting the influence of temperature on the growth rate, b represents the linear term coefficient of the growth rate with respect to temperature, representing the basic influence of temperature on the growth rate, c represents the constant term, representing the baseline growth rate of the plant at 0°C. The above three parameters are coefficients obtained by fitting experimental data, and Zswd represents the optimal growth temperature. It represents the vertex of the above quadratic function, which is the optimal temperature for plant growth.

[0020] Preferably, the data analysis module calculates the sunshine hours Rzss according to the data transmitted by the environment monitoring module and the water and fertilizer management module, and the calculation formula is as follows:

[0021]

[0022] In the formula, Rzss represents the number of sunshine hours, Gzzl represents the total amount of light per day, which is accumulated through the light sensor data, and Zdgq represents the optimal light intensity required by Anoectochilus roxburghii, which is 300 μmol / m 2 / s.

[0023] Preferably, the data analysis module calculates the growth water requirement Ssxq according to the data transmitted from the environment monitoring module and the water and fertilizer management module. The calculation formula is as follows:

[0024] Ssxq=ETO*Kc

[0025] In the formula, Ssxq represents the water requirement for growth, ETO represents the reference crop evapotranspiration, which is calculated by applying the Penman formula to the temperature, relative humidity and daily radiation data measured by the meteorological station, and Kc represents the crop coefficient, which reflects the efficiency of crop water utilization, and this value is obtained by referring to relevant literature.

[0026] Preferably, the data analysis module calculates the nutrient concentration Yfnd ​​according to the data transmitted by the environmental monitoring module and the water and fertilizer management module, and the calculation formula is as follows:

[0027]

[0028] In the formula, Yfnd ​​represents nutrient concentration, Xlxd represents nitrogen concentration required for the growth stage of golden thread vine, Trdn represents nitrogen concentration in the current soil, Sxld represents phosphorus concentration required for the growth stage of golden thread vine, Trld represents phosphorus concentration in the current soil, Jxxj represents potassium concentration required for the growth stage of golden thread vine, Trjd represents potassium concentration in the current soil, and the above values ​​are obtained through soil analysis.

[0029] Preferably, the data analysis module calculates the photosynthetically active radiation Ghfs according to the data transmitted from the environmental monitoring module and the water and fertilizer management module. The calculation formula is as follows:

[0030]

[0031] In the formula, Ghfs represents photosynthetically active radiation, I(t) represents light intensity, data that changes over time, T represents light duration, and dt represents the integral sign. Represents a definite integral, which is used to calculate the sum of the light intensity in the time range [0, T].

[0032] Preferably, the data analysis module calculates the fertilizer ratio Flpb according to the data transmitted by the environment monitoring module and the water and fertilizer management module. The calculation formula is as follows:

[0033]

[0034] In the formula, Flpb represents the fertilizer ratio, Fldn represents the molar concentration of nitrogen in the fertilizer, Flln represents the molar concentration of phosphorus in the fertilizer, and Fljn represents the molar concentration of potassium in the fertilizer.

[0035] Preferably, the data analysis module calculates the soil moisture saturation Sfbh according to the data transmitted by the environmental monitoring module and the water and fertilizer management module. The calculation formula is as follows:

[0036]

[0037] In the formula, Sfbh represents soil water saturation, W max Indicates the maximum water holding capacity of the soil, which is obtained through saturated moisture test, W current Indicates the current soil moisture content, which is obtained through a soil moisture meter.

[0038] Preferably, the data analysis module comprehensively calculates the expected maturity time Yqls of the golden thread vine according to the optimal growth temperature Zswd, sunshine hours Rzss, growth water requirement Ssxq, nutrient concentration Yfnd, photosynthetically active radiation Ghfs, fertilizer ratio Flpb and soil water saturation Sfbh, and the calculation formula is as follows:

[0039]

[0040] In the formula, Yqls represents the expected maturity time of Anoectochilus roxburghii, with one growth cycle as an indicator, and Lxcs represents the ideal growth constant, which is obtained by long-term observation of the growth cycle of Anoectochilus roxburghii under optimal growth conditions.

[0041] Preferably, the growth monitoring module analyzes the expected maturity time Yqls of the golden thread vine to determine whether the expected maturity time of the golden thread vine meets the system expected time, and the determination method is as follows:

[0042] When the expected maturity time Yqls of the golden thread vine is greater than 300 days, the system determines that the expected maturity time of the golden thread vine does not meet the system's expected time. At this time, the system generates a cultivation adjustment signal PZ and sends it to the intelligent adjustment module.

[0043] Compared with the prior art, the present invention provides an intelligent cultivation system for golden thread vine, which has the following features:

[0044] Beneficial effects:

[0045] The present invention uses a temperature sensor to collect environment and soil temperature data, a humidity sensor to collect humidity data, a light sensor to collect light intensity data, and a carbon dioxide sensor to collect carbon dioxide concentration data through an environmental monitoring module. The water and fertilizer management module collects soil moisture data, a nutrient sensor to collect soil nutrient data, and a pH sensor to collect soil acidity and alkalinity data. The collected data are sent to a data analysis module through a wireless transmission protocol. The data analysis module calculates the optimal growth temperature Zswd, sunshine hours Rzss, growth water requirement Ssxq, nutrient concentration Yfnd, photosynthetically active radiation Ghfs, fertilizer ratio Flpb, and soil water saturation Sfbh according to the data transmitted from the environmental monitoring module and the water and fertilizer management module, and The expected maturity time Yqls of the golden thread vine is calculated based on the above numerical values ​​and transmitted to the growth monitoring module. The growth monitoring module analyzes the expected maturity time Yqls of the golden thread vine to determine whether the expected maturity time of the golden thread vine meets the system expected time. When it does not meet the expectation, a cultivation adjustment signal PZ is generated and sent to the intelligent adjustment module. When the intelligent adjustment module receives the cultivation adjustment signal PZ, it intelligently adjusts the growth environment of the golden thread vine, and generates a golden thread vine cultivation optimization report and sends it to the user interaction module. The user interaction module sends the golden thread vine cultivation optimization report to the intelligent display terminal, analyzes and calculates the data of the growth environment of the golden thread vine, monitors the abnormality of the growth cycle of the golden thread vine, and timely adjusts the abnormality in an intelligent manner, thereby improving the growth environment of the golden thread vine and increasing the yield of the golden thread vine. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] At present, the cultivation of golden thread vine is mainly managed by manual methods. This cultivation method cannot fully monitor the growth cycle of golden thread vine, resulting in the inability to deal with abnormal conditions in the growth process of golden thread vine in a timely manner, which reduces the yield of golden thread vine. Therefore, an intelligent cultivation system for golden thread vine is proposed. Please refer to Figure 1 ,The system includes an environmental monitoring module, a water and fertilizer management module, a data analysis module, a growth monitoring module, an intelligent adjustment module and a user interaction module;

[0049] The environmental monitoring module effectively collects various key data through a variety of high-precision sensors to achieve comprehensive monitoring and intelligent management of the plant growth environment. Among them, the temperature sensor is used to collect real-time temperature data of the environment and soil. High-sensitivity devices such as thermocouples or thermistors are used to ensure rapid response to temperature changes and transmit the data to the central control system via Wi-Fi for centralized data processing and analysis. At the same time, the humidity sensor is responsible for monitoring the surrounding air humidity and soil moisture. It usually uses capacitive or resistive sensing technology to provide real-time soil moisture and environmental humidity data. This information is essential for the effective management of irrigation systems. In terms of light, the light sensor can measure light intensity. Usually, photoelectric sensors or spectral sensors are used to distinguish light of different wavelengths and provide accurate assessments of photosynthetically active radiation of plants. Through intelligent cooperation with LED growth lights, the system can automatically adjust the light source on and off according to the real-time light level to ensure that the plants obtain the best light conditions. In addition, the carbon dioxide sensor is used to monitor the carbon dioxide concentration in the air. Usually, infrared gas sensors are used to quickly and accurately capture changes in carbon dioxide concentration. These data can be used to optimize photosynthesis and adjust the indoor carbon dioxide concentration through ventilation or carbon dioxide supplementation systems when necessary.

[0050] The water and fertilizer management module is an important part of modern precision agricultural management. Through a series of advanced sensor technologies, it realizes comprehensive monitoring and intelligent management of soil conditions. The soil moisture sensor is used to collect real-time water content data in the soil. Through capacitive and resistive sensors, these sensors have high sensitivity and fast response capabilities, and can accurately reflect the changes in soil moisture. Nutrient sensors focus on monitoring various nutrient components in the soil, such as nitrogen, phosphorus, potassium, etc. They obtain nutrient concentrations in soil solutions through electrochemical methods to provide timely nutritional information required by crops. In addition, in order to fully analyze the growth conditions of the soil, acid-base sensors are also integrated in the module. Their working principle is usually based on PH electrodes, which can accurately measure the pH value of the soil, thereby affecting the effectiveness of nutrients and the growth status of plants. The collected data are quickly sent to the data analysis module through wireless transmission protocols to ensure real-time transmission and centralized management of information;

[0051] The data analysis module calculates the optimal growth temperature Zswd, sunshine hours Rzss, growth water requirement Ssxq, nutrient concentration Yfnd, photosynthetically active radiation Ghfs, fertilizer ratio Flpb and soil water saturation Sfbh based on the data transmitted by the environmental monitoring module and the water and fertilizer management module, and calculates the expected maturity time Yqls of the golden thread vine based on the above values, where:

[0052] The formula for calculating the optimal growth temperature is as follows:

[0053] GR(T)=a*T 2 +b*T+c

[0054]

[0055] Anoectochilus roxburghii grows well within a specific temperature range. Calculating the optimal growth temperature can create an ideal growth environment and promote root development and nutrient absorption. In the formula, GR represents the growth rate of the plant, T represents the plant growth temperature, a represents the quadratic coefficient of the growth rate with respect to temperature, reflecting the degree of influence of temperature on the growth rate, b represents the linear coefficient of the growth rate with respect to temperature, representing the basic influence of temperature on the growth rate, c represents the constant term, representing the baseline growth rate of the plant at 0°C. The above three parameters are coefficients obtained by fitting experimental data, and Zswd represents the optimal growth temperature. represents the vertex of the above quadratic function. This is the optimal temperature for plant growth. Reasonable temperature control can reduce the risk of slow growth or disease caused by temperature fluctuations during the growth cycle, thereby helping to improve yield and quality.

[0056] The formula for calculating sunshine hours is as follows:

[0057]

[0058] Calculating the daily sunshine hours helps determine the photosynthesis time of the plant and ensure that the golden thread vine grows under the most suitable light conditions. In the formula, Rzss represents the sunshine hours, Gzzl represents the total amount of light per day, which is accumulated through the light sensor data, and Zdgq represents the optimal light intensity required by the golden thread vine, which is 300μmol / m 2 / s, sufficient sunshine hours can increase growth rate and photosynthetic efficiency, ultimately promoting nutrient accumulation and increasing crop yields;

[0059] The formula for calculating the water requirement for growth is as follows:

[0060] Ssxq=ETO*Kc

[0061] Finding out the water demand of golden thread vine at different growth stages and ensuring timely and appropriate irrigation can effectively avoid growth problems caused by excessive or insufficient water. In the formula, Ssxq represents the water demand for growth, ETO represents the reference crop evapotranspiration, which is calculated by applying the Penman formula to the temperature, relative humidity and daily radiation data measured by the meteorological station, and Kc represents the crop coefficient, which reflects the crop's water utilization efficiency. This value is obtained by referring to relevant literature. Scientific water management will promote more uniform growth, improve quality, and reduce water waste.

[0062] The nutrient concentration calculation formula is as follows:

[0063]

[0064] Accurately measuring the nutrient concentration in the soil can effectively guide the fertilization plan and ensure that the golden thread vine obtains sufficient and balanced nutrition supply. In the formula, Yfnd ​​represents the nutrient concentration, Xlxd represents the nitrogen concentration required for the growth stage of the golden thread vine, Trdn represents the nitrogen concentration in the current soil, Sxld represents the phosphorus concentration required for the growth stage of the golden thread vine, Trld represents the phosphorus concentration in the current soil, Jxxj represents the potassium concentration required for the growth stage of the golden thread vine, and Trjd represents the potassium concentration in the current soil. The above values ​​are obtained through soil analysis. Appropriate nutrient concentration can not only improve the stress resistance of crops, but also improve their growth rate and medicinal value.

[0065] The formula for calculating photosynthetically active radiation is as follows:

[0066]

[0067] The calculation of photosynthetically active radiation enables the system to adjust to the lighting environment, improve photosynthetic efficiency, and ultimately promote the growth and development of golden thread vine. In the formula, Ghfs represents photosynthetically active radiation, I(t) represents light intensity, data that changes over time, T represents light duration, and dt represents the integral symbol. It represents the definite integral, which is used to calculate the sum of light intensity in the time range [0, T]. Understanding the changes in photosynthetically active radiation helps to optimize cultivation conditions and reduce yield losses caused by insufficient or excessive light.

[0068] The fertilizer ratio calculation formula is as follows:

[0069]

[0070] According to the specific needs of golden thread vine, calculating the fertilizer ratio can help formulate accurate fertilization strategies, thereby achieving effective nutrient supply. In the formula, Flpb represents the fertilizer ratio, Fldn represents the molar concentration of nitrogen in the fertilizer, Flln represents the molar concentration of phosphorus in the fertilizer, and Fljn represents the molar concentration of potassium in the fertilizer. Reasonable fertilizer ratio helps to increase crop growth rate, reduce fertilization costs and reduce environmental pollution risks.

[0071] The soil moisture saturation calculation formula is as follows:

[0072]

[0073] Understanding the soil water saturation helps to avoid waterlogging and soil water shortage and ensure that the soil supplies nutrients under ideal water conditions. In the formula, Sfbh represents the soil water saturation, W max Indicates the maximum water holding capacity of the soil, which is obtained through saturated moisture test, W currentIndicates the current soil moisture content, which is obtained through a soil moisture meter. Through scientific management of soil and water, soil health and microbial activity are maintained, further promoting the healthy growth and yield increase of golden thread vine;

[0074] The formula for calculating the expected maturity time of golden thread lotus is as follows:

[0075]

[0076] The above parameter values ​​are converted into data units through Excel. Through the comprehensive calculation of multiple parameters, the expected maturity time of golden thread vine can be predicted more accurately. Scientific prediction helps growers to harvest at the best time, ensure stable supply in the market, and improve economic benefits. In the formula, Yqls represents the expected maturity time of golden thread vine, with a growth cycle as an indicator, and Lxcs represents the ideal growth constant, which is obtained by long-term observation of the growth cycle of golden thread vine under the best growth conditions. Reasonable maturity time prediction can also help growers plan subsequent cultivation cycles, improve overall management efficiency, and promote the development of smart agriculture;

[0077] The growth monitoring module analyzes the expected maturity time Yqls of the golden thread vine to determine whether the expected maturity time of the golden thread vine meets the system's expected time. The determination method is as follows:

[0078] When the expected maturity time Yqls of golden thread vine is greater than 300 days, the system determines that the expected maturity time of golden thread vine does not meet the system expectation time, and at this time the system generates a cultivation adjustment signal PZ and sends it to the intelligent adjustment module;

[0079] In the intelligent cultivation system of golden thread vine, the intelligent adjustment module serves as the core control unit. When receiving the cultivation adjustment signal, it can quickly and intelligently adjust the growth environment of golden thread vine. The module integrates a variety of sensor technologies and data analysis algorithms. It obtains complete growth environment data by real-time monitoring of environmental parameters, including temperature, humidity, light intensity, soil moisture, nutrient concentration and air composition. Once the generated adjustment signal is received, the intelligent adjustment module can adjust the temperature control system to heat or cool the growth environment to maintain the most suitable growth temperature range for golden thread vine. At the same time, by comparing the actual water demand of the plant, the intelligent adjustment module automatically controls the irrigation system to accurately adjust the water content of the plant. Water supply to ensure that the soil remains at the optimal humidity state. In addition, the module will adjust the brightness and photoperiod of the artificial light source according to the data collected by the light sensor to ensure that the plants obtain appropriate photosynthetically active radiation. While adjusting the environment, the intelligent adjustment module will also regularly generate a golden thread vine cultivation optimization report, which summarizes important data and adjustment history during the growth process, including environmental parameter changes, adjustment measures and their effect evaluation, and provides suggestions for possible improvement measures. The optimization report is sent to the user interaction module through wireless communication transmission, so that users can obtain the system status and growth status in real time, which is convenient for monitoring and decision-making of the entire cultivation process;

[0080] After receiving the golden thread vine cultivation optimization report, the user interaction module quickly transmits the report to the intelligent display terminal through wireless communication technology. In this process, the user interaction module uses data encryption and secure transmission protocols to ensure the confidentiality and integrity of information during transmission and avoid potential security risks. The intelligent display terminal is equipped with a high-resolution touch screen, which can not only display the optimization report in a clear and easy-to-read format, but also provides rich interactive functions. Users can view the key data contained in the report through an intuitive graphical interface, such as real-time changes in environmental parameters such as temperature, humidity, and light, as well as analysis of the effects achieved through adjustments. In addition, the terminal makes the historical data in the report into a trend chart, so that users can clearly observe the impact of changes in the growth environment on the growth of golden thread vine, and provide comparative analysis to help users make more informed decisions.

[0081] The user interaction module also allows users to configure and adjust the cultivation system on the intelligent display terminal. Based on the optimization suggestions put forward in the report, users can set new growth parameters directly on the interface and send instructions to the intelligent adjustment module with one-click confirmation to update the growth environment in real time.

[0082] By analyzing and calculating the data of the growth environment of golden thread vine, monitoring the abnormalities in the growth cycle of golden thread vine, and making timely abnormal adjustments in an intelligent way, the growth environment of golden thread vine is improved and the yield of golden thread vine is increased.

[0083] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent cultivation system for Anoectochilus roxburghii, characterized in that: It includes environment monitoring module, water and fertilizer management module, data analysis module, growth monitoring module, intelligent adjustment module and user interaction module; The environmental monitoring module collects environmental and soil temperature data through a temperature sensor, humidity data through a humidity sensor, light intensity data through a light sensor, and carbon dioxide concentration data through a carbon dioxide sensor; The water and fertilizer management module collects soil moisture data through a soil moisture sensor, soil nutrient data through a nutrient sensor, and soil acidity and alkalinity data through a pH sensor; The above collected data is sent to the data analysis module via a wireless transmission protocol; The data analysis module calculates the optimal growth temperature Zswd, sunshine hours Rzss, growth water requirement Ssxq, nutrient concentration Yfnd, photosynthetically active radiation Ghfs, fertilizer ratio Flpb and soil water saturation Sfbh according to the data transmitted from the environmental monitoring module and the water and fertilizer management module, and calculates the expected maturity time Yqls of the golden thread vine based on the above numerical values ​​and transmits it to the growth monitoring module; The growth monitoring module analyzes the expected maturity time Yqls of the golden thread vine to determine whether the expected maturity time of the golden thread vine meets the system expectation time. When it does not meet the expectation, it generates a cultivation adjustment signal PZ and sends it to the intelligent adjustment module; When the intelligent adjustment module receives the cultivation adjustment signal PZ, it intelligently adjusts the growth environment of the golden thread vine, and generates a golden thread vine cultivation optimization report and sends it to the user interaction module; The user interaction module sends the golden thread vine cultivation optimization report to the intelligent display terminal.

2. The intelligent cultivation system of Anoectochilus roxburghii according to claim 1, characterized in that: The data analysis module calculates the optimal growth temperature Zswd based on the data transmitted by the environmental monitoring module and the water and fertilizer management module. The calculation formula is as follows: GR(T)=a*T 2 +b*T+c In the formula, GR represents the growth rate of the plant, T represents the plant growth temperature, a represents the quadratic term coefficient of the growth rate with respect to temperature, reflecting the influence of temperature on the growth rate, b represents the linear term coefficient of the growth rate with respect to temperature, representing the basic influence of temperature on the growth rate, c represents the constant term, representing the baseline growth rate of the plant at 0°C. The above three parameters are coefficients obtained by fitting experimental data, and Zswd represents the optimal growth temperature. It represents the vertex of the above quadratic function, which is the optimal temperature for plant growth.

3. The intelligent cultivation system of Anoectochilus roxburghii according to claim 2, characterized in that: The data analysis module calculates the sunshine hours Rzss according to the data transmitted by the environmental monitoring module and the water and fertilizer management module. The calculation formula is as follows: In the formula, Rzss represents the number of sunshine hours, Gzzl represents the total amount of light per day, which is accumulated through the light sensor data, and Zdgq represents the optimal light intensity required by Anoectochilus roxburghii, which is 300 μmol / m 2 / s.

4. The intelligent cultivation system of Anoectochilus roxburghii according to claim 3, characterized in that: The data analysis module calculates the growth water requirement Ssxq based on the data transmitted by the environmental monitoring module and the water and fertilizer management module. The calculation formula is as follows: Ssxq=ETO*Kc In the formula, Ssxq represents the water requirement for growth, ETO represents the reference crop evapotranspiration, which is calculated by applying the Penman formula to the temperature, relative humidity and daily radiation data measured by the meteorological station, and Kc represents the crop coefficient, which reflects the efficiency of crop water utilization, and this value is obtained by referring to relevant literature.

5. The intelligent cultivation system of Anoectochilus roxburghii according to claim 4, characterized in that: The data analysis module calculates the nutrient concentration Yfnd ​​based on the data transmitted from the environmental monitoring module and the water and fertilizer management module. The calculation formula is as follows: In the formula, Yfnd ​​represents nutrient concentration, Xlxd represents nitrogen concentration required for the growth stage of golden thread vine, Trdn represents nitrogen concentration in the current soil, Sxld represents phosphorus concentration required for the growth stage of golden thread vine, Trld represents phosphorus concentration in the current soil, Jxxj represents potassium concentration required for the growth stage of golden thread vine, Trjd represents potassium concentration in the current soil, and the above values ​​are obtained through soil analysis.

6. The intelligent cultivation system of Anoectochilus roxburghii according to claim 5, characterized in that: The data analysis module calculates the photosynthetically active radiation Ghfs based on the data transmitted from the environmental monitoring module and the water and fertilizer management module. The calculation formula is as follows: In the formula, Ghfs represents photosynthetically active radiation, I(t) represents light intensity, data that changes over time, T represents light duration, and dt represents the integral sign. Represents a definite integral, which is used to calculate the sum of the light intensity in the time range [0, T].

7. The intelligent cultivation system of Anoectochilus roxburghii according to claim 6, characterized in that: The data analysis module calculates the fertilizer ratio Flpb based on the data transmitted from the environmental monitoring module and the water and fertilizer management module. The calculation formula is as follows: In the formula, Flpb represents the fertilizer ratio, Fldn represents the molar concentration of nitrogen in the fertilizer, Flln represents the molar concentration of phosphorus in the fertilizer, and Fljn represents the molar concentration of potassium in the fertilizer.

8. The intelligent cultivation system of Anoectochilus roxburghii according to claim 7, characterized in that: The data analysis module calculates the soil moisture saturation Sfbh based on the data transmitted by the environmental monitoring module and the water and fertilizer management module. The calculation formula is as follows: In the formula, Sfbh represents soil water saturation, W max Indicates the maximum water holding capacity of the soil, which is obtained through saturated moisture test, W current Indicates the current soil moisture content, which is obtained through a soil moisture meter.

9. The intelligent cultivation system of Anoectochilus roxburghii according to claim 8, characterized in that: The data analysis module comprehensively calculates the expected maturity time Yqls of golden thread vine according to the optimal growth temperature Zswd, sunshine hours Rzss, growth water requirement Ssxq, nutrient concentration Yfnd, photosynthetically active radiation Ghfs, fertilizer ratio Flpb and soil water saturation Sfbh. The calculation formula is as follows: In the formula, Yqls represents the expected maturity time of Anoectochilus roxburghii, with one growth cycle as an indicator, and Lxcs represents the ideal growth constant, which is obtained by long-term observation of the growth cycle of Anoectochilus roxburghii under optimal growth conditions.

10. The intelligent cultivation system of Anoectochilus roxburghii according to claim 9, characterized in that: The growth monitoring module analyzes the expected maturity time Yqls of the golden thread vine to determine whether the expected maturity time of the golden thread vine meets the system expected time. The determination method is as follows: When the expected maturity time Yqls of the golden thread vine is greater than 300 days, the system determines that the expected maturity time of the golden thread vine does not meet the system's expected time. At this time, the system generates a cultivation adjustment signal PZ and sends it to the intelligent adjustment module.

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