Intelligent growth environment regulation and control system for gastrodia elata armillaria mellea

Abstract

The invention relates to the technical field of intelligent planting of gastrodia elata armillaria mellea, and provides an intelligent growth environment regulation and control system for gastrodia elata armillaria mellea aiming at the problem of low yield and quality caused by traditional artificial experience judgment and single index regulation and control. The system comprises an environment monitoring module, a data analysis module, a pre-regulation module and a growth regulation module. The environment monitoring module acquires temperature, humidity, illumination, soil air permeability and humidity data in the greenhouse in real time; the data analysis module generates an environment coefficient and a soil coefficient and triggers threshold early warning; the pre-regulation and control module generates future environmental parameter predicted values through a weather prediction model, identifies parameters needing to be regulated and controlled and then calculates an optimal regulation and control window in combination with outdoor temperature difference and humidity difference potential; the growth adjusting module controls the sunshade net, the irrigation device and the air conditioning device in a linkage mode. Early intervention is realized through environment coefficient dynamic early warning, and parameters are adjusted by preferentially utilizing environment potential energy difference in combination with outdoor natural energy potential. According to the invention, the problems of strong hysteresis and high energy consumption of manual regulation and control are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent planting of medicinal plants, and particularly to an intelligent growth environment regulation system for Gastrodia elata and Armillaria mellea. Background Art

[0002] Gastrodia elata Blume belongs to the genus Gastrodia of the Orchidaceae family and is a perennial heterotrophic herbaceous plant. It contains compounds such as gastrodian polysaccharide, gastrodin, p-hydroxybenzyl alcohol, and parishin glycosides, and has effects such as delaying aging, antioxidation, anti-inflammation, blood pressure lowering, and analgesia. It has both medicinal value and the value of health care food for medicinal diet, and is one of the Chinese medicinal materials with both medicinal and edible uses. The market demand is large and the application prospect is broad. Gastrodia elata is a fungal heterotrophic plant without chlorophyll. Its seeds are small and underdeveloped, and the nutrients stored in itself cannot meet the needs of seed germination and growth. Therefore, during the sexual reproduction process of Gastrodia elata, it is necessary to first infect its embryo cells with fungi of the genus Mycena to provide necessary nutrients for seed germination. After the seeds germinate, they need to rely on the invasion of Armillaria mellea to provide nutrients for their continued growth, and establish a nutritional symbiotic system to complete the life cycle.

[0003] However, there are significant technical bottlenecks in the current artificial cultivation system: in key links such as environmental parameter matching, a rough management mode that combines manual experience judgment and single environmental index monitoring is still generally adopted. This management method based on surface observation is difficult to achieve accurate analysis of the dynamic interaction between fungi and plants, and lacks the integrated analysis of multi-dimensional physiological and ecological data, resulting in frequent problems such as imbalance of the symbiotic system, fluctuation of germination rate, and abnormal accumulation of secondary metabolites, which seriously restricts the quality stability of Gastrodia elata medicinal materials and the industrialization development process. To solve the above problems, Chinese Patent No. CN114967798A discloses an Internet-based Gastrodia elata planting management control system. This system classifies the soil by monitoring and collecting soil data, and adjusts the environment according to the collected environmental temperature, humidity, etc.; although this solution solves the problem of regulating the growth environment parameters of Gastrodia elata, the regulation is carried out after detecting that the temperature, humidity, etc. exceed the optimal growth threshold. Using this method for regulation causes Gastrodia elata to be in an unsuitable environment before regulation, which affects the growth of Gastrodia elata. Summary of the Invention

[0004] Aiming at the deficiencies of the prior art, the technical problem solved by the present invention is to provide an intelligent growth environment regulation system for Gastrodia elata and Armillaria mellea, which solves the problems that in the existing planting method of Gastrodia elata with Armillaria mellea, the environmental regulation mainly combines manual experience judgment and single environmental index monitoring, resulting in low accuracy and response speed of environmental adjustment, and low yields and quality of Gastrodia elata.

[0005] To solve the above problems, the technical solution adopted by the present invention is: an intelligent growth environment regulation system for Armillaria mellea with Gastrodia elata, including an environment monitoring module, a data analysis module, a pre-regulation module, and a growth regulation module; and an environment regulation device, the environment regulation device includes an electric sunshade net, an irrigation system, and an air conditioning system respectively electrically connected to the growth regulation module; The environment monitoring module is used to collect environment data and soil data in the Gastrodia elata planting greenhouse. The environment data includes the temperature inside the greenhouse, the humidity inside the greenhouse, and the light intensity inside the greenhouse; the soil data includes the soil air permeability and the soil humidity per unit area; The data analysis module is used to obtain the environment data and generate an environment coefficient, and obtain the soil data and generate a soil coefficient, and generate a first environment regulation instruction and send it to the growth regulation module when the environment coefficient or the soil coefficient is greater than the set threshold; the environment coefficient E and the soil coefficient S are calculated by the following formulas;

[0006] where T, H, and L respectively represent the current temperature value, humidity value, and light intensity value, 、 、 are respectively the most suitable temperature value, humidity value, and light intensity for the growth of Armillaria mellea with Gastrodia elata; 、 、 The weight coefficients of each environment parameter;

[0007] where, 、 respectively represent the current soil humidity value and soil air permeability value, 、 are respectively the best soil humidity value and the best soil air permeability value for the growth of Armillaria mellea with Gastrodia elata; 、 are the weight coefficients of each soil parameter; The pre-control module protects a data acquisition unit, a prediction unit and a control unit. The data acquisition unit is used to acquire meteorological data within a future set time period. The prediction unit is used to input the acquired meteorological data into a pre-trained prediction model to obtain parameter prediction values ​​of environmental changes within a future set time period, wherein the parameter prediction values ​​include predicted greenhouse temperature value, predicted greenhouse humidity value, predicted greenhouse light intensity value and predicted soil moisture value. When the parameter prediction value exceeds the parameter setting threshold range, the control unit marks the parameter as a parameter to be controlled. The control unit determines whether the parameter type to be controlled is the greenhouse humidity value or the greenhouse temperature value. If the determination is no, a second environmental control instruction is generated according to the parameter to be controlled and sent to the growth control module. If the determination is yes, a change time point when the parameter to be controlled exceeds the parameter setting threshold range is obtained, outdoor environmental parameters between the change time point and the starting point of the future set time are obtained, a window time point at which the difference between the outdoor environmental parameters and the parameters to be controlled is maximized is calculated, and a third environmental control instruction is generated and sent to the growth control module. The growth regulation module is used to control the operation of the environment regulation device according to any one or more of the first environment regulation instruction, the second environment regulation instruction, and the third environment regulation instruction.

[0008] The beneficial effects of this solution are: the environmental data and soil data in the greenhouse environment of Gastrodia elata are collected through the environmental monitoring module, and the environmental coefficient and soil coefficient are obtained. When the coefficient exceeds the set threshold, the first control instruction is used for control; at the same time, the predicted environmental parameters and soil parameters in the future set time period are obtained by collecting meteorological data, so that the predicted value exceeds the set range, and the control is carried out in advance, rather than when the environmental parameter or soil parameter setting value exceeds the set range, so as to avoid the environmental parameter and soil parameter exceeding the limit and affecting the growth of Gastrodia elata. When the parameter to be controlled is the humidity or temperature in the greenhouse, the outdoor environmental parameters and the required control parameters are predicted according to the meteorological data. The window time point of the maximum difference between the outdoor environmental parameters and the required control parameters can be accurately captured, so as to accurately capture the best matching period of outdoor temperature, humidity and greenhouse demand, dynamically generate the third environmental control instruction, and use the outdoor environment to pre-control the greenhouse environment, such as using the low temperature period in the early morning to ventilate and store cold, and natural dehumidification when the outdoor is dry at noon; significantly improve energy efficiency. When the difference between the outdoor temperature and the target temperature in the greenhouse is the largest, for example, when the outdoor temperature is 22°C at night in summer and the greenhouse needs to be cooled to 25°C, the ventilation system is actively turned on to introduce cold air, reducing the operating time of the air conditioner and saving electricity; when the outdoor humidity is lower than the set value in the greenhouse and no rainfall is predicted, natural ventilation is used for dehumidification first, which is more energy-efficient than traditional dehumidification solutions; combined with the outdoor light intensity prediction, the sunshade net is deployed in advance during the strong light period and when the light range threshold is met, and the surplus light heat energy is stored for low temperature compensation at night, reducing heating energy consumption.

[0009] Furthermore, the prediction unit calculates the temperature value in the greenhouse by the following formula: Predicted and indoor humidity value Prediction

[0010] Wherein is the predicted indoor humidity value after time, represents the predicted future time span, the current indoor temperature, is the current outdoor temperature; is the solar radiation, is the light transmittance, is the light radiation area; is the greenhouse heat loss coefficient, is the overall heat conduction area between the greenhouse and the outside, is the air heat capacity, is the greenhouse air volume;

[0011] Wherein is the predicted indoor temperature value after time, the predicted future time span, is the current indoor humidity, is the current outdoor humidity; is the transpiration rate; is the soil evaporation, is the ventilation rate, is the greenhouse air volume; The control unit calculates the window that maximizes the difference between the outdoor environmental temperature, humidity and the in-greenhouse demand through the following formula;

[0012] Wherein is the minimum tolerable temperature for Gastrodia elata growth, represents the maximum tolerable temperature for Gastrodia elata growth;

[0013] Wherein is the minimum tolerable humidity for Gastrodia elata growth, represents the maximum tolerable humidity for Gastrodia elata growth; is the maximum relative deviation between the outdoor temperature and the in-greenhouse demand temperature, used to quantify the available degree of natural temperature difference; obtain the time point with the maximum value, and generate a ventilation control instruction or a sunshade control instruction to control the temperature parameter; similarly, is the maximum relative deviation between the outdoor humidity and the required humidity in the shed, which is used to quantify the available degree of the natural humidity difference; obtain the time point with the maximum value and generate a ventilation control instruction to adjust the humidity parameter.

[0014] By 、 formulas quantify the temperature difference potential and humidity difference potential between the outdoor and the shed, and select the maximum deviation time point for control, which can significantly improve the energy utilization efficiency. When the outdoor temperature is higher than the lower threshold , it means that external heat can be introduced through ventilation to reduce the heating demand. When the outdoor temperature is lower than the upper threshold , it means that cold air can be introduced through ventilation to reduce the cooling demand; thus reducing the energy consumption of the air conditioning system. When >0, there is an available natural temperature difference. Select the moment with the maximum value of the deviation on the low-temperature side or the high-temperature side, which represents the largest temperature difference between the outdoor temperature and the required temperature in the shed at this time, and the control efficiency is the highest. Similarly, when the outdoor humidity is higher than the humidity lower threshold , it means that external moisture can be introduced through ventilation to reduce the humidification demand.

[0015] Furthermore, the data analysis module further includes a growth period marking unit and a dynamic parameter adjustment unit. The growth period marking unit is used to infer and generate the germination period time period and the swelling period time period based on the planting date and local historical climate data, and mark the growth period in which the current Gastrodia elata is growing; the dynamic parameter adjustment unit is used to set the weight coefficients of the environmental parameters 、 、 to be 0.4, 0.5, 0.1 respectively, and set the weight coefficients of the soil parameters 、 to be 0.6, 0.4 respectively when the growth period is the germination period; set the weight coefficients of the environmental parameters 、 、 to be 0.5, 0.3, 0.2 respectively, and set the weight coefficients of the soil parameters 、 to be 0.5, 0.5 respectively when the growth period is the swelling period.

[0016] The starch synthase activity of the Gastrodia elata tuber is the highest at 20 - 22 °C during the swelling period. Temperature fluctuations exceeding ±3 °C will cause the enzyme activity to decrease by more than 30%. The lignin decomposition efficiency of Armillaria mellea is the highest at 15 - 25 °C. Both low temperature and high temperature will inhibit the symbiotic relationship. Therefore, the temperature weight is increased during the swelling period; the oxygen demand of the soil increases during the swelling period. When the air permeability rate < 0.4 cm³ / s, the tuber growth rate decreases. The oxygen demand of the soil increases during the swelling period. When the air permeability rate < 0.4 cm³ / s, the tuber growth rate decreases by 40%. Therefore, the air permeability rate weight is increased during the swelling period.

[0017] Furthermore, the dynamic parameter adjustment unit gradually adjusts each parameter by using the linear interpolation method, and the adjustment formula is as follows;

[0018] Wherein, represents any parameter to be adjusted, represents the value of the parameter before adjustment, represents the target value of the parameter adjustment, is the start time of stage switching, is the completion time of stage switching.

[0019] By comparing the deviation between the target light intensity and the actual value in real time, the opening and closing degree of the sunshade net is dynamically adjusted, realizing smooth and stable light regulation under complex weather conditions, avoiding the problems of frequent start-stop or overshoot caused by traditional on-off control, reducing the mechanical wear of the sunshade net, accurately maintaining the weak light environment required for the growth of Gastrodia elata, reducing energy consumption by minimizing the motor action frequency, and adapting to the changes in light requirements in different seasons or growth periods, such as full shading during the germination period and semi-translucency during the swelling period, ultimately improving the symbiotic efficiency of Armillaria mellea and Gastrodia elata and the consistency of medicinal material quality.

[0020] Furthermore, the electric sunshade net is controlled by using the PID algorithm and is calculated through the following formula;

[0021] Light deviation value , that is, the difference between the required light value and the current actual light value; weight parameter .

[0022] Furthermore, the irrigation system calculates the total irrigation amount according to the soil moisture deviation , and the formula is as follows;

[0023] is the soil volume; is the optimal soil moisture; is the current soil moisture.

[0024] The irrigation system accurately calculates the irrigation amount by real-time monitoring of the soil moisture deviation and combining with the infiltration rate, can dynamically match the water demand characteristics of different growth stages of Gastrodia elata, avoid the waste of water resources and the deterioration of the root environment caused by excessive or insufficient irrigation in traditional irrigation; at the same time, adjusts the irrigation strategy according to the soil infiltration ability, can not only maintain the optimal moisture range required for the symbiosis of Armillaria mellea, but also can actively respond to rainfall or high temperature by linking meteorological prediction data, and stabilize the dry matter accumulation during the tuber swelling period. Description of the Drawings

[0025] Figure 1 This is the system module diagram of the present invention. Specific embodiments

[0026] The following is a further detailed description through specific embodiments: Basically as shown in the appendix Figure 1 Shown: An intelligent growth environment regulation system for Armillaria mellea with Gastrodia elata, including an environmental monitoring module, a data analysis module, a pre-regulation module, and a growth regulation module; and environmental regulation equipment, the environmental regulation equipment includes an electric sunshade net, an irrigation system, an air conditioning system, and a management terminal that are respectively electrically connected to the growth regulation module; The environmental monitoring module is used to collect environmental data and soil data in the Gastrodia elata planting greenhouse. The environmental data includes the temperature, humidity, and light intensity in the greenhouse; the soil data includes the soil air permeability and soil humidity per unit area; The data analysis module is used to obtain environmental data and generate an environmental coefficient, and obtain soil data and generate a soil coefficient, and generate a first environmental regulation instruction and send it to the growth regulation module when the environmental coefficient or soil coefficient is greater than the set threshold; the environmental coefficient E and the soil coefficient S are calculated by the following formulas;

[0027] Among them, , , are respectively the most suitable temperature value, humidity value, and light value for the growth of Armillaria mellea with Gastrodia elata; , , The weight coefficients of each environmental parameter;

[0028] Among them, , respectively represent the current soil humidity value and soil air permeability value, , are respectively the best soil humidity value and the best soil air permeability value for the growth of Armillaria mellea with Gastrodia elata; , are the weight coefficients of each soil parameter; The data analysis module includes a data analysis unit and an instruction generation unit. The data analysis unit is used to obtain environmental data and generate an environmental coefficient, and to obtain soil data and generate a soil coefficient. The instruction generation unit is used to generate a first environmental control instruction and send it to the growth regulation module when the environmental coefficient or the soil coefficient is greater than a set threshold. Specifically, if the instruction generation unit determines that the environmental coefficient is greater than the set environmental coefficient threshold, then further, each environmental parameter is determined one by one to exceed the corresponding environmental parameter setting threshold range. If so, the first control instruction is generated for the environmental parameter exceeding the set threshold range to adjust it. If not, each environmental parameter is determined one by one to be within the set threshold range. The absolute value of the difference is normalized, and the minimum environmental parameter after normalization is used to generate the first environmental control instruction for adjustment toward the center of the set threshold range; similarly, if the instruction generation unit determines that the soil coefficient is greater than the set environmental coefficient threshold, then further, each soil parameter is determined one by one whether it exceeds the corresponding environmental parameter setting threshold range. If so, the first control instruction is generated for the soil parameter that exceeds the set threshold range for adjustment; if not, the absolute value of the difference between each soil parameter and the set threshold range is determined one by one and normalized, and the minimum soil parameter after normalization is generated to generate the first environmental control instruction for adjustment toward the center of the set threshold range.

[0029] Taking the regulation of environmental parameters as an example, the temperature threshold range is set to 15℃-25℃, the humidity threshold range is set to 50%-80%, and the light intensity threshold range is 500~2000lux. When it is judged that the environmental coefficient exceeds the set value, the temperature value, humidity value and light value in the greenhouse are compared with the set temperature threshold range, humidity threshold range and light intensity threshold range respectively; after comparison, it is judged that the temperature value in the greenhouse is greater than the maximum value of the set temperature threshold range, that is, the temperature is too high, and the other two environmental parameters are not exceeded, then the first regulation instruction is generated to control the air conditioning system to cool down the greenhouse environment; if after comparison, each environmental parameter does not exceed the corresponding set threshold range, then the absolute value of the difference between each environmental parameter and the set threshold range is judged one by one and the data is normalized, and the minimum value after normalization is used as the parameter to be regulated for adjustment; for example, the absolute minimum value is the humidity parameter, and it is judged that the humidity parameter is closer to the lower limit value, which means that moisturizing is required, then the first regulation instruction is generated to control the irrigation system to increase the humidity value.

[0030] The closer any parameter of temperature, humidity or light intensity is to the edge of the set threshold range, the smaller the difference in absolute value is, which means that the parameter is more likely to exceed the set threshold range under the influence of the external environment, thereby causing Gastrodia elata to grow in an unsuitable growth environment. Therefore, it is priority to adjust the environmental parameters close to the threshold range.

[0031] The pre-regulation module protects the data acquisition unit, prediction unit and regulation unit. The data acquisition unit is used to acquire meteorological data within a set future time period. The prediction unit is used to input the acquired meteorological data into a pre-trained prediction model to obtain parameter prediction values of environmental changes within the set future time period. The parameter prediction values include the predicted temperature value inside the shed, the predicted humidity value inside the shed, the predicted light intensity value inside the shed, and the predicted soil humidity value. When the parameter prediction value exceeds the parameter setting threshold range, the regulation unit marks the parameter as a parameter to be regulated, and determines whether the type of the parameter to be regulated is the humidity value or the temperature value inside the shed. If the determination is no, a second environmental regulation instruction is generated according to the parameter to be regulated and sent to the growth regulation module. If the determination is yes, the change time point when the parameter to be regulated exceeds the parameter setting threshold range is obtained, the outdoor environmental parameters between the change time point and the starting point of the set future time are obtained, the difference maximization window is calculated, and a third environmental regulation instruction is generated and sent to the growth regulation module. The prediction unit predicts the temperature value inside the shed through the following formula and the humidity value inside the shed prediction,

[0032] where, is the predicted humidity value inside the shed after time, represents the predicted future time span, is the current indoor temperature, is the current outdoor temperature; is the solar radiation amount, is the light transmittance, is the light radiation area; is the greenhouse heat loss coefficient, is the overall heat conduction area between the greenhouse and the outside, is the air heat capacity, is the greenhouse air volume;

[0033] where, is the predicted temperature value inside the shed after time, the predicted future time span, is the current indoor humidity, is the current outdoor humidity; is the transpiration rate; is the soil evaporation amount, is the ventilation rate, is the greenhouse air volume; The regulation unit calculates the difference maximization window between the outdoor environmental temperature, humidity and the requirements inside the shed through the following formula;

[0034] Among them, is the minimum tolerance temperature for Gastrodia elata growth, set at 15°C, represents the maximum tolerance temperature for Gastrodia elata growth, set at 25°C; when the outdoor temperature is higher than the lower threshold it means that external heat can be introduced through ventilation to reduce the heating demand. When the outdoor temperature is lower than the upper threshold it means that cold air can be introduced through ventilation to reduce the cooling demand; thus reducing the energy consumption of the air conditioning system. When > 0, there is an available natural temperature difference. Select the moment with the maximum value of the deviation on the low-temperature side or high-temperature side, which represents the largest temperature difference between the outdoor temperature and the demand in the shed at this time, and the highest regulation efficiency.

[0035]

[0036] Among them, is the minimum tolerance humidity for Gastrodia elata growth, set at 50%, represents the maximum tolerance humidity for Gastrodia elata growth, set at 80%; is the maximum relative deviation between the outdoor temperature and the temperature demand in the shed, used to quantify the available degree of the natural temperature difference; obtain the time point with the maximum value, and generate a ventilation regulation instruction or a sunshade regulation instruction to regulate the temperature parameters; similarly, is the maximum relative deviation between the outdoor humidity and the humidity demand in the shed, used to quantify the available degree of the natural humidity difference; obtain the time point with the maximum value and generate a ventilation regulation instruction to regulate the humidity parameters.

[0037] Taking the regulation using the natural temperature difference as an example; predicting the outdoor temperature in the next 24 hours through meteorological data or models ; calculating before the changing time point hour by hour according to the above formula to generate a time series; finding the maximum moment before the changing time point, that is, the time point with the largest temperature difference between the outdoor temperature and the demand in the shed; for example, predicting that the environmental temperature in the shed will change to 28°C at 3 pm, exceeding the set threshold range; marking this time point as the changing time point, and the parameter to be regulated is the temperature in the shed. Predicting the outdoor temperature fluctuation on this day in the future: 9°C at night, 22°C in the morning, 28°C at noon. When the temperature is 9°C at night, the deviation on the low-temperature side is negative and unavailable, and at this time = 0; when the temperature is 28°C at noon, the deviation on the high-temperature side is negative and unavailable, and at this time = 0; when the temperature is 22°C in the morning, the deviation value on the high-temperature side = (25 - 22) / 25 = 0.12, If it is 0.12, ventilation is turned on at 22°C in the morning to cool down using natural cold air.

[0038] The growth regulation module is used to control the operation of the environmental regulation equipment according to any one or more of the first environmental regulation instruction, the second environmental regulation instruction, and the third environmental regulation instruction.

[0039] In terms of real-time regulation, the system conducts regulation through the first environmental regulation instruction. When the soil coefficient or environmental coefficient exceeds the preset value, it indicates that the greenhouse environment or soil environment is not suitable for the growth of Gastrodia elata at this time. Therefore, it is necessary to regulate the environmental or soil parameters. In terms of pre-regulation, the system realizes the precise adjustment of non-temperature and humidity parameters through the second environmental regulation instruction. For example, based on the real-time data and predicted data of the soil air permeability, when the soil air permeability exceeds the set range value of the air permeability, a second regulation instruction including the operation frequency of the soil loosening machine is generated and sent to the growth regulation module. The growth regulation module sends this information to the management terminal, and the management terminal controls the operation frequency of the soil loosening machine according to the received regulation instruction to ensure the balance between the decomposition activity of Armillaria mellea and the oxygen absorption demand of Gastrodia elata. When the parameters to be regulated include the humidity value or temperature value in the greenhouse, as well as the light intensity or soil humidity, the system will generate the second environmental regulation instruction and the third environmental regulation instruction respectively; at this time, the growth regulation module will conduct coordinated regulation according to the second environmental regulation instruction and the third environmental regulation instruction.

[0040] The electric sunshade net is controlled using the PID algorithm and calculated through the following formula;

[0041] Light deviation value , that is, the difference between the required light value and the current actual light value; weight parameter .

[0042] The irrigation system calculates the total irrigation amount according to the soil humidity deviation and determines the single irrigation amount according to the soil volume and permeability , or preset the single irrigation amount according to experience, and when the irrigation amount is greater than the maximum preset value of the single irrigation, it is divided into multiple stages for irrigation. By supplying water in stages, the energy consumption of the water pump and the loss of chemical fertilizers are reduced. The total irrigation amount The calculation formula is as follows;

[0043] is the soil volume; is the optimal soil humidity; is the current soil humidity.

[0044] The irrigation water volume that can be absorbed within the single irrigation time is;

[0045] is the soil volume; is the soil infiltration rate; is the single irrigation duration.

[0046] The same parts of Example 2 and Example 1 will not be described in detail. The differences are that the data analysis module further includes a growth period marking unit and a dynamic parameter adjustment unit. The growth period marking unit is used to infer and generate the germination period time range and the swelling period time range based on the planting date and local historical climate data, mark the current growth period of Gastrodia elata, and set different environmental parameter thresholds and soil parameter thresholds according to different marked growth periods; the dynamic parameter adjustment unit is used to set the weight coefficients of environmental parameters when the growth period is the germination period , , are 0.4, 0.5, 0.1 respectively, and set the weight coefficients of soil parameters , are 0.6, 0.4 respectively; when the growth period is the swelling period, set the weight coefficients of environmental parameters , , are 0.5, 0.3, 0.2 respectively, and set the weight coefficients of soil parameters , are 0.5, 0.5 respectively.

[0047] The growth stages of Gastrodia elata can be divided into the germination period, the vegetative growth period, the tuber swelling period, and the dormancy period. The germination period is generally 1-2 months after spring planting, and the environmental parameters for growth are generally a temperature of 15°C - 20°C and a humidity of >70%; the vegetative growth period is generally 2-6 months after germination, that is, after planting, and the growth environmental parameters are generally a temperature of 20°C - 25°C and a humidity of 60 - 70%; the tuber swelling period is generally in autumn, that is, 6-9 months after planting, and the production environmental parameters are generally a temperature of 18°C - 22°C and a humidity of 50 - 60%. Therefore, the time ranges of each growth period can be inferred by combining local historical climate data and the planting date.

[0048] The starch synthase activity of Gastrodia elata tubers during the swelling period is the highest at 20°C - 22°C. A temperature fluctuation exceeding ±3°C will cause the enzyme activity to decrease by more than 30%. The lignin decomposition efficiency of Armillaria mellea is the highest at 15°C - 25°C. Both low temperature and high temperature will inhibit the symbiotic relationship. Therefore, the temperature weight is increased during the swelling period; the oxygen demand of the soil increases during the swelling period. When the air permeability rate is <0.4 cm³ / s, the tuber growth rate decreases by 40%. Therefore, the air permeability rate weight is increased during the swelling period. By regulating the weights of different growth periods, the subtle difference requirements for environmental parameters and soil parameters in different growth periods are adapted, so that Gastrodia elata is in the most suitable growth environment in different periods, thereby increasing the yield of Gastrodia elata.

[0049] The dynamic parameter adjustment unit gradually adjusts each parameter using the linear interpolation method, and the adjustment formula is as follows;

[0050] Wherein, represents any parameter to be adjusted, represents the value of the parameter before adjustment, represents the target value of the parameter adjustment, is the start time of stage switching, is the completion time of stage switching. It is usually set to 3 - 5 days.

[0051] The temperature requirements of Gastrodia elata at different growth stages are different. For example, the temperature requirement range during the germination stage is 15°C - 20°C, and the requirement range during the swelling stage is 18°C - 25°C. It is necessary to dynamically adjust the upper and lower threshold values of the temperature, and the dynamic adjustment formula is as follows;

[0052] The median of the optimal temperature during the current growth stage; The allowable fluctuation range during the growth stage.

[0053] By The formula quantifies the temperature difference potential between the outdoors and inside the shed, and selects the maximum deviation time point for regulation, which can significantly improve the energy utilization efficiency. Combining dynamic threshold adjustment and multi-parameter expansion, the system can more intelligently adapt to complex environmental changes and ensure the best symbiotic conditions between Gastrodia elata and Armillaria mellea.

[0054] The above are only embodiments of the present invention. Common knowledge such as specific structures and characteristics known in the solution is not described in detail here. It should be noted that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can still be made, and these should also be regarded as the protection scope of the present invention, and these will not affect the implementation effect of the present invention and the practicality of the patent. The protection scope required by this application should be based on the content of its claims, and the specific implementation manners described in the specification can be used to interpret the content of the claims.

Claims

1. An intelligent growth environment regulation system for Armillaria mellea and Gastrodia elata, characterized in that: It includes an environmental monitoring module, a data analysis module, a pre-regulation module, and a growth regulation module; and an environmental regulation device, where the environmental regulation device includes an electric sunshade net, an irrigation system, and an air-conditioning system that are respectively electrically connected to the growth regulation module; The environmental monitoring module is used to collect environmental data and soil data in the Gastrodia elata cultivation greenhouse. The environmental data includes the temperature inside the greenhouse, the humidity inside the greenhouse, and the light intensity inside the greenhouse; the soil data includes the soil air permeability and soil humidity per unit area; The data analysis module is used to obtain environmental data and generate an environmental coefficient, and obtain soil data and generate a soil coefficient, and generate a first environmental regulation instruction and send it to the growth regulation module when the environmental coefficient or soil coefficient is greater than the set threshold; the environmental coefficient E and the soil coefficient S are calculated through the following formula; Among them, T, H, and L respectively represent the current temperature value, humidity value, and light intensity value, , , are respectively the most suitable temperature value, humidity value, and temperature value for the growth of Armillaria mellea; , , The weight coefficients of each environmental parameter; Among them, , respectively represent the current soil humidity value and the soil air permeability value, , are respectively the optimal soil humidity value and the optimal soil air permeability value for the growth of Armillaria mellea; , are the weight coefficients of each soil parameter; The pre-regulation module includes a data acquisition unit, a prediction unit, and a regulation unit. The data acquisition unit is used to obtain meteorological data within a set future time period. The prediction unit is used to input the obtained meteorological data into a pre-trained prediction model to obtain parameter prediction values of environmental changes within the set future time period. The parameter prediction values include the predicted temperature value inside the greenhouse, the predicted humidity value inside the greenhouse, the predicted light intensity value inside the greenhouse, and the predicted soil humidity value; the regulation unit marks the parameter as a parameter to be regulated when the parameter prediction value exceeds the parameter set threshold range; and determines whether the type of the parameter to be regulated is the humidity value or the temperature value inside the greenhouse; if the determination is no, then generate a second environmental regulation instruction according to the parameter to be regulated and send it to the growth regulation module; if the determination is yes, then obtain the change time point when the parameter to be regulated exceeds the parameter set threshold range, obtain the outdoor environmental parameters between the change time point and the start point of the set future time, calculate the window time point with the maximum difference between the outdoor environmental parameters and the parameter to be regulated, and generate a third environmental regulation instruction and send it to the growth regulation module; The growth regulation module is used to control the operation of the environmental regulation device according to any one or more of the first environmental regulation instruction, the second environmental regulation instruction, and the third environmental regulation instruction.

2. The intelligent growth environment regulation system of Armillaria mellea on Gastrodia elata Bl. according to claim 1, characterized in that: The prediction unit predicts the temperature value inside the shed and the humidity value inside the shed through the following formula and prediction wherein, is the predicted humidity value inside the greenhouse after time, represents the predicted future time span, is the current indoor temperature, is the current outdoor temperature; is the solar radiation amount, is the light transmittance, is the light radiation area; is the greenhouse heat loss coefficient, is the overall heat conduction area between the greenhouse and the outside, is the air heat capacity, is the greenhouse air volume; wherein, is the predicted temperature value inside the greenhouse after time instant, is the predicted future time span, is the current indoor humidity, is the current outdoor humidity; is the transpiration rate; is the soil evaporation, is the ventilation rate, is the air volume of the greenhouse; The regulation unit calculates the window with the maximum difference between the outdoor environmental temperature and humidity and the demand inside the greenhouse through the following formula; Among them, is the lowest tolerance temperature for Gastrodia elata growth, represents the highest tolerance temperature for Gastrodia elata growth; Among them, is the lowest tolerable humidity for Gastrodia elata growth, represents the highest tolerable humidity for Gastrodia elata growth; is the maximum relative deviation between the outdoor temperature and the required temperature inside the shed, which is used to quantify the available degree of the natural temperature difference; obtain the time point with the maximum value, and generate a ventilation control instruction or a sunshade control instruction to control the temperature parameter; similarly, is the maximum relative deviation between the outdoor humidity and the required humidity inside the shed, which is used to quantify the available degree of the natural humidity difference; obtain the time point with the maximum value and generate a ventilation control instruction to control the humidity parameter.

3. The intelligent growth environment regulation system of Armillaria mellea on Gastrodia elata Blume according to claim 1, wherein: The data analysis module further includes a growth period marking unit and a dynamic parameter adjustment unit. The growth period marking unit is used to generate a germination period time range and a swelling period time range based on the planting date and local climate data, and mark the growth period in which the current Gastrodia elata is growing. The dynamic parameter adjustment unit is used to set the weight coefficients of environmental parameters when the growth period is the germination period , , to be 0.4, 0.5, 0.1 respectively, and set the weight coefficients of soil parameters , to be 0.6, 0.4 respectively; when the growth period is the swelling period, set the weight coefficients of environmental parameters , , to be 0.5, 0.3, 0.2 respectively, and set the weight coefficients of soil parameters , to be 0.5, 0.5 respectively.

4. The intelligent growth environment control system of Armillaria mellea for Gastrodia elata as claimed in claim 3, wherein: The dynamic parameter adjustment unit gradually adjusts each parameter using the linear interpolation method, and the adjustment formula is as follows; Among them, represents any parameter to be adjusted, represents the value of the parameter before adjustment, represents the target value of the parameter adjustment, is the start time of phase switching, is the completion time of phase switching.

5. The intelligent growth environment regulation system of Armillaria mellea for Gastrodia elata Blume according to claim 2, wherein: The electric sunshade net is controlled using the PID algorithm and is calculated through the following formula; Light deviation value , that is, the difference between the optimal light value and the current actual light value; weight parameter .

6. The intelligent growth environment regulation system of Armillaria mellea on Gastrodia elata according to claim 1, wherein: The irrigation system calculates the total irrigation amount according to the soil moisture deviation , and the formula is as follows; is the soil volume; is the optimal soil humidity; is the current soil humidity.

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