Aeroponic planting method and system for radix isatidis

Abstract

The invention discloses an isatis root aeroponic planting method and system, and relates to the technical field of negative pressure control, and the method comprises the following steps: determining the optimal position of a planting area, and establishing a system negative pressure area; assembling an adjustable fan for each planting area, automatically adjusting the rotating speed of the fan according to the real-time feedback of the differential pressure sensor, and establishing and maintaining the negative pressure in the planting area; simulating and predicting the air flow direction in the planting area by using CFD software, and dynamically adjusting the air flow direction; the air quality and the pressure difference of each area are monitored in real time, data analysis is carried out, and an alarm is automatically triggered when abnormity occurs. According to the isatis root aerosol culture planting method and system provided by the invention, spatial analysis of the incubator region is accurately carried out, the optimal position of the planting region is determined, the air quality and pressure difference of each region are monitored in real time, the airflow path in the planting region is optimized, the risk of infection diffusion is reduced, and the overall performance and stability of the system are improved.

Description

Technical Field

[0001] The invention relates to the technical field of negative pressure control, and in particular to a method and system for aeroponic cultivation of Radix Isatidis. Background Art

[0002] Isatis root is also known as big indigo, isatis, isatis green, and is a biennial herb of the cruciferous family. The root is called isatis root, and the leaf is called isatis leaf. The root and the leaf are bitter and cold in nature. It has the functions of clearing away heat and detoxifying, cooling blood and removing spots. It is often combined with other traditional Chinese medicines to form a compound prescription and is widely used in a variety of diseases such as influenza, Japanese encephalitis, hepatitis, etc. Isatis root is distributed in Inner Mongolia, Shaanxi, Gansu, Hebei, Shandong, Jiangsu, Zhejiang, Anhui, Guizhou and other places in my country.

[0003] The sources of isatis root are different, and there are also differences in the use of traditional Chinese medicine, which is manifested in clinical efficacy. There are many reports on the high-yield planting technology of isatis root in the existing technology, but the methods are different. Due to the characteristics of land and climate in northern Anhui, most of the current planting of isatis root uses aerosol technology, but during planting, there is often no good control method and system for the aerosol. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for aeroponic cultivation of Radix Isatidis, comprising:

[0006] Use GIS and BIM to perform spatial analysis of the incubator area to determine the best location for planting;

[0007] Each area is equipped with an adjustable fan, which automatically adjusts the fan speed according to the real-time feedback from the pressure difference sensor to establish and maintain negative pressure in the planting area. The pressure difference data is transmitted to the central control console in real time through the wireless communication module.

[0008] Install HEPA and ULPA filters at the aerosol outlet and combine with electronic dust collectors, equip filters with RFID tags to track service life and replacement cycles;

[0009] Use CFD software to simulate and predict the air flow direction in the planting area, and combine it with an automated damper adjustment system to dynamically adjust the air flow direction, thereby affecting the aerosol flow direction;

[0010] Deploy IoT technology and sensor networks to monitor the air quality and pressure difference in each area in real time. The data is transmitted to the central database in real time for data analysis. When an abnormality occurs, an alarm is automatically triggered. Big data analysis and deep learning are performed on the collected data to automatically optimize the control strategy of negative pressure and air flow.

[0011] As a preferred solution of the aeroponic planting method of Radix Isatidis of the present invention, wherein: the determination of the optimal location of the planting area includes allocating an initial pheromone concentration to the tent raft position based on the collected incubator space data, and each ant is based on the heuristic function h(i,j) and the current pheromone concentration τ ij (t) Search in the space of possible planting area locations and update the pheromone concentration τ according to the path chosen by the ants in the current iteration ij (t+1), iterate the ant colony's search process until the ant colony converges on the best combination position and outputs the final positions of various planting areas.

[0012] As a preferred solution of the aeroponic planting method of Radix Isatidis of the present invention, the heuristic function is expressed as:

[0013] h(i,j)=αh1(i,j)+βh2(i,j)+γh3(i,j)+δh4(i,j)+εh5(i,j)

[0014] Among them, h(i,j) represents the total value of the heuristic function, i and j represent different spatial positions respectively, α, β, γ, δ, and ε represent weight coefficients respectively, h1(i,j) represents the inverse correlation sub-heuristic function with the flow path length, h2(i,j) represents the space utilization sub-heuristic function, h3(i,j) represents the evaluation value sub-heuristic function of the infectious disease isolation effect, h4(i,j) represents the safety distance evaluation value sub-heuristic function, and h5(i,j) represents the relative position evaluation value sub-heuristic function between various planting areas;

[0015] The updated pheromone concentration τ ij It is expressed as,

[0016]

[0017] Among them, τ ij represents the pheromone concentration from position i to position j, represents the evaporation coefficient of pheromone, ∑ k∈ant represents the accumulation of all ants k, It represents the pheromone increment left by ant k between position i and position j in the current iteration.

[0018] As a preferred solution of the aeroponic planting method of Radix Isatidis described in the present invention, the simulation and prediction of the air flow direction in the planting area includes collecting air flow rate, temperature, humidity, pressure difference and harmful gas concentration parameters in the negative pressure planting area, obtaining the real-time working status and parameters of the fan and damper in the planting area, cleaning the collected data, removing outliers, and normalizing the data;

[0019] Use historical data to initialize the air flow prediction algorithm and compare the model prediction results with real-time data;

[0020] The air flow prediction algorithm is expressed as:

[0021]

[0022] Among them, u represents the flow velocity vector, t represents time, p represents the fluid pressure, and μ represents the viscosity of the fluid. represents the gradient operator, f(u,p,t) represents the correction term, g(u(s)) represents the function, τ represents the length of the time delay, s represents the variable at a specific time in the past τ time, ds represents the change of the integral variable s, represents the partial derivative of flow velocity with respect to time, The convection term representing the flow velocity, represents the velocity change due to the pressure gradient, Represents the change in velocity due to the viscosity of the fluid.

[0023] As a preferred embodiment of the aeroponic planting method of Radix Isatidis of the present invention, the dynamically adjusting the air flow direction comprises:

[0024] when When f(u,p,t)>0.3, it is judged as a rapid flow rate increase state, the backup cooling system is started, the fan speed is increased according to the first preset standard, the pressure data of the nearby area is collected, and it is verified whether there is an abnormal pressure difference, the required time delay τ is recalculated, and shortening τ is considered to reduce oscillation, and the auxiliary flow regulator is started to assist in adjusting the flow rate;

[0025] when When u is less than the preset threshold, it is judged that the flow rate is in a long-term stable state, the equipment is initially checked to verify whether there are objects blocking or hindering the flow, the fan speed is increased according to the second preset standard, the diagnostic algorithm is run to detect whether there are other non-standard interferences, the system time delay τ is reduced, and the boost device is started;

[0026] when When f(u,p,t)≤0.3, it is judged that the flow rate is rapidly decreasing. All fans are immediately suspended and the system is checked. The emergency flow rate recovery program is started to gradually restore the flow rate to the predetermined value. The data of all relevant sensors are collected to determine whether there is an abnormality. The system time delay τ is gradually increased. If the system is still unstable, the auxiliary flow rate adjustment system is started.

[0027] When the rate of change of the external environment exceeds the preset threshold, it is judged that the external environment is changing rapidly, the temperature and pressure stabilization system is activated, the fan speed and output are adjusted according to the third preset standard, and the time delay τ is adjusted. If the external conditions continue to deteriorate, the emergency shutdown procedure is started and the alarm is triggered.

[0028] Another object of the present invention is to provide an isatis root aeroponic planting system, which can solve the problems of inaccurate spatial layout and untimely response and adjustment through GIS and BIM technology, IoT technology and sensor network, CFD software and automated damper adjustment system.

[0029] In order to solve the above technical problems, the present invention provides the following technical solutions: an isatis indigotica aeroponic planting system, comprising: a sampling detection module, a negative pressure module, an optimization module and a control module; the negative pressure module is equipped with an adjustable fan for each planting area, and is connected to a pressure difference sensor, and automatically adjusts the fan speed according to the real-time feedback of the pressure difference sensor to establish and maintain a negative pressure environment in the planting area, and sets HEPA and ULPA filters at the aerosol outlet, and combines with an electronic dust collector, and equips these filters with RFID tags to track service life and replacement cycle; the optimization module uses CFD software to simulate and predict the air flow direction in the planting area, According to the simulation data, the air flow direction is dynamically adjusted in combination with the automated damper adjustment system, and the air velocity, temperature, humidity, pressure difference and harmful gas concentration parameters in the negative pressure planting area are collected. These data are cleaned and outliers are removed. The air flow direction is predicted using historical data, and the prediction results are compared with the real-time data, and necessary adjustments are made. The control module is used to deploy IoT technology and sensor networks, monitor the air quality and pressure difference in each area in real time, transmit the data to the central database in real time, and perform data analysis. If the data shows an abnormal situation, the system automatically triggers an alarm, deploys a cloud computing platform, and automatically optimizes the control strategy of negative pressure and air flow direction.

[0030] As a preferred solution of the Isatis indigotica aeroponic planting system of the present invention, wherein: the sampling detection module includes a measuring component, and the measuring component includes a base, a wheel arranged at the bottom of the base, an aerosol pump arranged on the base, a pipeline to be tested connected to the aerosol pump, a sensor arranged on the pipeline to be tested, and an information processing end connected to the sensor;

[0031] The reinforcement component is arranged at the bottom of the pipeline to be tested, and comprises a mounting seat, a clamp arranged in the mounting seat, a spring connected to the clamp, a rotating block arranged between the clamps, and a handle connected to the rotating block.

[0032] As a preferred solution of the Isatis indigotica aeroponic planting system described in the present invention, wherein: a through hole is opened on the side wall of the pipe to be tested, two of the through holes are arranged opposite to each other, two sensors are provided, the sensors correspond to the through holes one by one, the sensors are inserted into the through holes, and the information processing end receives the sensor data and outputs the amount of aerosol flowing through the pipe to be tested.

[0033] Beneficial effects of the present invention: The isatis aeroponic planting method and system provided by the present invention can accurately perform spatial analysis of the culture box area through GIS and BIM technology, determine the optimal position of the planting area, and effectively isolate the influence of external factors. By utilizing IoT technology and sensor networks, the air quality and pressure difference of each area can be monitored in real time, and rapid response and adjustment can be made to ensure the stability of negative pressure and aerosol. By using CFD software and an automated damper adjustment system, the airflow path within the planting area can be optimized. By adopting ant colony algorithms and other optimization algorithms, automatic optimization of the system can be achieved, thereby improving the overall performance and stability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0035] Figure 1 This is an overall structural diagram of a Radix Isatidis aeroponics planting system provided in one embodiment of the present invention.

[0036] Figure 2 A schematic diagram of the structure of an isatis indigotica aeroponic planting system provided in one embodiment of the present invention.

[0037] Figure 3 A side view of the overall structure of a Isatis indigotica aeroponic planting system provided in one embodiment of the present invention.

[0038] Figure 4 A cross-sectional view of the overall structure of an Isatis indigotica aeroponic planting system provided in one embodiment of the present invention.

[0039] Figure 5 A schematic diagram of the reinforcement components of an isatis indigotica aeroponic planting system provided in one embodiment of the present invention.

[0040] Figure 6 A cross-sectional view of a reinforcement component of an isatis indigotica aeroponic planting system provided in one embodiment of the present invention.

[0041] Figure 7 A schematic diagram of a rotating block of an isatis indigotica aeroponic planting system provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0042] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0043] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0044] Example 1

[0045] One embodiment of the present invention provides a method for aeroponic cultivation of Radix Isatidis, comprising:

[0046] Use GIS and BIM to perform spatial analysis of the incubator area, determine the best location for the planting area, and establish a system negative pressure zone.

[0047] An adjustable fan is installed in each planting area. The fan speed is automatically adjusted according to the real-time feedback from the pressure difference sensor to establish and maintain negative pressure in the planting area. The pressure difference data is transmitted to the central control console in real time through the wireless communication module.

[0048] HEPA and ULPA filters are installed at the aerosol outlet and combined with electronic dust collectors. RFID tags are installed on the filters to track their service life and replacement cycle.

[0049] CFD software is used to simulate and predict the air flow direction in the planting area, and the air flow direction is dynamically adjusted in combination with an automated damper adjustment system.

[0050] Deploy IoT technology and sensor networks to monitor the air quality and pressure difference in each area in real time. The data is transmitted to the central database in real time for data analysis. When an abnormality occurs, an alarm is automatically triggered. Deploy a cloud computing platform to perform big data analysis and deep learning on the collected data, and automatically optimize the control strategy of negative pressure and air flow.

[0051] Determining the optimal location of the planting area includes assigning an initial pheromone concentration to the tent raft position based on the collected incubator space data. Each ant is based on the heuristic function h(i,j) and the current pheromone concentration τ ij(t) Search in the space of possible planting area locations and update the pheromone concentration τ according to the path chosen by the ants in the current iteration ij (t+1), iterate the ant colony's search process until the ant colony converges on the best combination position and outputs the final positions of various planting areas.

[0052] The heuristic function is expressed as,

[0053] h(i,j)=αh1(i,j)+βh2(i,j)+γh3(i,j)+δh4(i,j)+εh5(i,j)

[0054] Among them, h(i,j) represents the total value of the heuristic function, i and j represent different spatial positions respectively, α, β, γ, δ, and ε represent weight coefficients respectively, h1(i,j) represents the inverse correlation sub-heuristic function with the flow path length, h2(i,j) represents the space utilization sub-heuristic function, h3(i,j) represents the evaluation value sub-heuristic function of the infectious disease isolation effect, h4(i,j) represents the safety distance evaluation value sub-heuristic function, and h5(i,j) represents the relative position evaluation value sub-heuristic function between various planting areas;

[0055] Update pheromone concentration τ ij It is expressed as,

[0056]

[0057] Among them, τ ij represents the pheromone concentration from position i to position j, represents the evaporation coefficient of pheromone, ∑ k∈ant represents the accumulation of all ants k, represents the pheromone increment left by ant k between position i and position j in the current iteration;

[0058] The simulation and prediction of air flow in the planting area includes collecting the air flow rate, temperature, humidity, pressure difference and harmful gas concentration parameters in the negative pressure planting area, obtaining the real-time working status and parameters of the fans and dampers in the planting area, cleaning the collected data, removing outliers, and normalizing the data.

[0059] Use historical data to initialize the air flow prediction algorithm and compare the model prediction results with real-time data;

[0060] The air flow prediction algorithm is expressed as,

[0061]

[0062] Among them, u represents the flow velocity vector, t represents time, p represents the fluid pressure, and μ represents the viscosity of the fluid. represents the gradient operator, f(u,p,t) represents the correction term, g(u(s)) represents the function, τ represents the length of the time delay, s represents the variable at a specific time in the past τ time, ds represents the change of the integral variable s, represents the partial derivative of flow velocity with respect to time, The convection term representing the flow velocity, represents the velocity change due to the pressure gradient, Represents the change in velocity due to the viscosity of the fluid.

[0063] Dynamically adjust the air flow direction including:

[0064] when When f(u,p,t)>0.3, it is judged as a state of rapid flow rate increase, and the backup cooling system is started. The fan speed is increased according to the first preset standard, and the pressure data of the nearby area is collected to verify whether there is an abnormal pressure difference. The required time delay τ is recalculated, and shortening τ is considered to reduce oscillations. The auxiliary flow regulator is started to assist in adjusting the flow rate.

[0065] when And when u is less than the preset threshold, it is judged that the flow rate is in a long-term stable state. The equipment is initially checked to verify whether there are objects blocking or hindering the flow. The fan speed is increased according to the second preset standard, and the diagnostic algorithm is run to detect whether there are other non-standard interferences. The system time delay τ is reduced and the boost device is started.

[0066] when When f(u,p,t)≤0.3, it is judged that the flow rate is rapidly decreasing. All fans are immediately suspended and the system is checked. The emergency flow rate recovery program is started to gradually restore the flow rate to the predetermined value. The data of all relevant sensors are collected to determine whether there is any abnormality. The system time delay τ is gradually increased. If the system is still unstable, the auxiliary flow rate adjustment system is started.

[0067] When the rate of change of the external environment exceeds the preset threshold, it is judged that the external environment is changing rapidly, the temperature and pressure stabilization system is activated, the fan speed and output are adjusted according to the third preset standard, and the time delay τ is adjusted. If the external conditions continue to deteriorate, the emergency shutdown procedure is started and the alarm is triggered.

[0068] In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0069] Select the existing environment, use the complete system based on our invented technical solution, cooperate with GIS and BIM software and CFD software, configure differential pressure sensor, humidity sensor, harmful gas concentration sensor and other related sensors, microprocessor, wireless communication module and central console, HEPA and ULPA filter and electronic dust collector, RFID tag reader.

[0070] Use GIS and BIM software to determine the best location for the planting area based on the incubator area data analysis. Record the exact location of each planting area. Compare with the existing technical solutions to determine the planting area positioning accuracy between the two.

[0071] Use differential pressure sensors to monitor the negative pressure status of each planting area under different time periods and conditions. Record the system's response speed and adjustment effect. Compare with the existing technical solution to determine the negative pressure stability between the two.

[0072] Use CFD software to simulate the airflow path within the planting area. Adjust the damper and fan speed based on actual and simulated data. Compare with existing technical solutions to determine the air flow optimization ratio between the two.

[0073] In case of sudden changes in external conditions, such as opening the culture chamber, the system response and adjustment speed are monitored. Compare with the existing technical solutions to determine the system response speed between the two.

[0074] Observe how the system automatically adjusts parameters such as fan speed and damper position. Compare with existing technical solutions to determine the system automatic optimization rate between the two.

[0075] By simulating the release of traceable harmless gases or particles, the diffusion rate and range within the planting area are monitored and compared with existing technical solutions.

[0076] In a fixed time period, the total energy consumption of the system is monitored. It is compared with the existing technical solution to determine the system energy consumption between the two. The experimental results are shown in Table 1.

[0077] Table 1 Comparison of experimental results

[0078] Test items Existing technical solutions Our invention plan Planting area positioning accuracy (%) 75.4 95.3 Negative pressure stability (%) 80.3 98.5 Air flow optimization rate (%) 70.5 96.3 System response speed(s) 10 3 System automatic optimization rate (%) 60.5 94.8 Reduced risk of infection spread (%) 20.6 50.2 System energy consumption (kWh) 100 80

[0079] Our solution uses GIS and BIM technology to conduct precise spatial analysis of the incubator area, so as to more accurately determine the location of the planting area. Sensor networks and IoT technology enable the system to monitor the air pressure difference within the planting area in real time and make rapid adjustments to ensure the stability of the negative pressure. CFD software and automated damper adjustment systems help optimize the air flow path within the planting area, thereby reducing the risk of infection. Our invention uses advanced technology for real-time monitoring and automatic adjustment, which greatly improves the response speed of the system. Ant colony algorithms and other optimization algorithms are used for automatic optimization of the system, thereby improving the overall performance and stability of the system.

[0080] Example 2

[0081] Reference Figure 1-Figure 7 , which is another embodiment of the present invention, provides an isatis indigotica aeroponic planting system, including a negative pressure module, an optimization module, a control module and a sampling detection module.

[0082] The negative pressure module equips each incubator with an adjustable fan and connects it to a differential pressure sensor. Based on the real-time feedback from the differential pressure sensor, the fan speed is automatically adjusted to establish and maintain a negative pressure environment inside the incubator. HEPA and ULPA filters are installed at the fresh air inlet and combined with an electronic dust collector. These filters are also equipped with RFID tags to track their service life and replacement cycle.

[0083] The optimization module uses CFD software to simulate and predict the air flow direction in the incubator. Based on the simulation data, it dynamically adjusts the air flow direction in combination with the automated damper adjustment system. It collects the air flow rate, temperature, humidity, pressure difference, and harmful gas concentration parameters in the negative pressure incubator, cleans these data, removes outliers, uses historical data to predict air flow direction, compares the predicted results with real-time data, and makes necessary adjustments.

[0084] The control module is used to deploy IoT technology and sensor networks to monitor the air quality and pressure difference in each area in real time, and transmit the data to the central database in real time for data analysis. If the data shows abnormal conditions, the system automatically triggers an alarm, deploys a cloud computing platform, and automatically optimizes the control strategy of negative pressure and air flow.

[0085] In this embodiment, the sampling detection module includes a measuring component 100 and a reinforcement component 200, wherein the measuring component 100 includes a base 101, a wheel 102 arranged at the bottom of the base 101, an aerosol pump 103 arranged on the base 101, a pipe to be tested 104 connected to the aerosol pump 103, a sensor 105 arranged on the pipe to be tested 104, and an information processing terminal 106 connected to the sensor 105; the reinforcement component 200 is arranged at the bottom of the pipe to be tested 104, and includes a mounting seat 201, a clamp 202 arranged in the mounting seat 201, a spring 203 connected to the clamp 202, a rotating block 204 arranged between the clamps 202, and a handle 205 connected to the rotating block 204.

[0086] Among them, the wheel 102 is arranged at the bottom of the base 101, and there are four wheels 102. The aerosol pump 103 introduces aerosol into the pipe to be tested 104. A through hole 104a is opened on the side wall of the pipe to be tested 104, and the two through holes 104a are arranged opposite to each other. There are two sensors 105, and the sensors 105 correspond to the through holes 104a one by one. The sensors 105 are inserted into the through holes 104a. The information processing end 106 receives the data of the sensor 105 and outputs the amount of aerosol flowing through the pipe to be tested 104. The mounting seat 201 is arranged directly below the pipe to be tested 104, and there are two clamps 202. The clamps 202 are symmetrically arranged on the mounting seat 201, and the clamps 202 are rotatably connected to the mounting seat 201, and the ends of the clamps 202 are on both sides of the pipe to be tested 104. One end of the spring 203 is connected to the mounting seat 201, and the other end is connected to the bottom of the clamp 202. The handle 205 is rotatably connected to the mounting seat 201. The handle 205 is also provided with a protrusion 205a. The rotating block 204 is arranged between the two clamps 202. A groove 204a is opened in the rotating block 204, and the protrusion 205a is embedded in the groove 204a.

[0087] During use, the device is moved to the measuring point via the wheels 102, the pipe 104 to be tested is connected to the aerosol pump 103, aerosol is introduced into the pipe 104 to be tested via the aerosol pump 103, the sensor 105 is arranged on the pipe 104 to be tested, a pair of through holes 104a are opened at relative positions on the pipe wall of the pipe 104 to be tested, the sensor 105 is arranged in the through holes 104a and fixed, the information processing end 106 is connected to the sensor 105, and the amount of aerosol is measured from the pipe 104 to be tested through the aerosol through the detection of the sensor 105, the optical signal is emitted from one sensor 105 to another sensor 105, and the amount of aerosol is determined by the received light quantity unit; in order to ensure the connection stability between the pipe 104 to be tested and the aerosol pump 103, a reinforcement component 200 is arranged at the bottom of the pipe 104 to be tested, and during use, the handle 205 is pressed down, and the protrusion 205a on the handle 205 is synchronously rotated. The handle 205 is connected to the rotating block 204, and the protrusion 205a is embedded in the groove 204a. Therefore, when the protrusion 205a rotates, the rotating block 204 is driven to rotate. Before the rotation, the thickness of the rotating block 204 is small and does not contact the clamps 202 on both sides. After the rotation, the thickness of the rotating block 204 becomes larger, and the clamps 202 on both sides are stretched open. According to the distance of the lever, the bottom of the clamp 202 is stretched open, and the top clamp 202 is clamped, that is, the pipe 104 to be measured is clamped and fixed. Since the protrusion 205a can slide in the groove 204a, the rotating block 204 can automatically be stressed to maintain balance between the clamps 202. When the clamp 202 is stretched open, the rotating block 204 can slide and fine-tune in the direction of the protrusion 205a. When it is necessary to release the fixation, lift the handle 205, the spring 203 resets and bounces up, so that the clamps 202 on both sides of the rotating block 204 shrink, and the top clamp 202 opens, thereby releasing the fixation of the pipe 104 to be measured.

[0088] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for aeroponic cultivation of Radix Isatidis, characterized in that: include: Use GIS and BIM to perform spatial analysis of the incubator area to determine the best location for planting; Each area is equipped with an adjustable fan, which automatically adjusts the fan speed according to the real-time feedback from the pressure difference sensor to establish and maintain negative pressure in the planting area. The pressure difference data is transmitted to the central control console in real time through the wireless communication module. Install HEPA and ULPA filters at the aerosol outlet and combine with electronic dust collectors, equip filters with RFID tags to track service life and replacement cycles; Use CFD software to simulate and predict the air flow direction in the planting area, and combine it with an automated damper adjustment system to dynamically adjust the air flow direction, thereby affecting the aerosol flow direction; Deploy IoT technology and sensor networks to monitor the air quality and pressure difference in each area in real time. The data is transmitted to the central database in real time for data analysis. When an abnormality occurs, an alarm is automatically triggered. Big data analysis and deep learning are performed on the collected data to automatically optimize the control strategy of negative pressure and air flow.

2. The method for aeroponic cultivation of Radix Isatidis according to claim 1, characterized in that: The method of determining the optimal location of the planting area includes allocating an initial pheromone concentration to the planting location based on the collected incubator space data, and each ant is based on the heuristic function h(i,j) and the current pheromone concentration τ ij (t) Search in the space of possible planting area locations and update the pheromone concentration τ according to the path chosen by the ants in the current iteration ij (t+1), iterate the ant colony's search process until the ant colony converges on the best combination position and outputs the final positions of various planting areas.

3. The method for aeroponic cultivation of Radix Isatidis according to claim 2, characterized in that: The heuristic function is expressed as, h(i,j)=αh1(i,j)+βh2(i,j)+γh3(i,j)+δh4(i,j)+εh5(i,j) Among them, h(i,j) represents the total value of the heuristic function, i and j represent different spatial positions respectively, α, β, γ, δ, and ε represent weight coefficients respectively, h1(i,j) represents the inverse correlation sub-heuristic function with the flow path length, h2(i,j) represents the space utilization sub-heuristic function, h3(i,j) represents the evaluation value sub-heuristic function of the infectious disease isolation effect, h4(i,j) represents the safety distance evaluation value sub-heuristic function, and h5(i,j) represents the relative position evaluation value sub-heuristic function between various planting areas; The updated pheromone concentration τ ij It is expressed as, Among them, τ ij represents the pheromone concentration from position i to position j, represents the evaporation coefficient of pheromone, ∑ k∈ant represents the accumulation of all ants k, It represents the pheromone increment left by ant k between position i and position j in the current iteration.

4. The method for aeroponic cultivation of Radix Isatidis as claimed in claim 3, characterized in that: The simulation and prediction of the air flow direction in the planting area includes collecting air flow rate, temperature, humidity, pressure difference and possible harmful gas concentration parameters in the negative pressure planting area, obtaining the real-time working status and parameters of the fan and damper in the planting area, cleaning the collected data, removing abnormal values, and normalizing the data; Use historical data to initialize the air flow prediction algorithm and compare the model prediction results with real-time data; The air flow prediction algorithm is expressed as: Among them, u represents the flow velocity vector, t represents time, p represents the fluid pressure, and μ represents the viscosity of the fluid. represents the gradient operator, f(u,p,t) represents the correction term, g(u(s)) represents the function, τ represents the length of the time delay, s represents the variable at a specific time in the past τ time, ds represents the change of the integral variable s, represents the partial derivative of flow velocity with respect to time, The convection term representing the flow velocity, represents the velocity change due to the pressure gradient, Represents the change in velocity due to the viscosity of the fluid.

5. The method for aeroponic cultivation of Radix Isatidis according to claim 4, characterized in that: The dynamically adjusting the air flow direction comprises: when When f(u,p,t)>0.3, it is judged as a rapid flow rate increase state, the backup cooling system is started, the fan speed is increased according to the first preset standard, the pressure data of the nearby area is collected, and it is verified whether there is an abnormal pressure difference, the required time delay τ is recalculated, and shortening τ is considered to reduce oscillation, and the auxiliary flow regulator is started to assist in adjusting the flow rate; when When u is less than the preset threshold, it is judged that the flow rate is in a long-term stable state, the equipment is initially checked to verify whether there are objects blocking or hindering the flow, the fan speed is increased according to the second preset standard, the diagnostic algorithm is run to detect whether there are other non-standard interferences, the system time delay τ is reduced, and the boost device is started; when When f(u,p,t)≤0.3, it is judged that the flow rate is rapidly decreasing. All fans are immediately suspended and the system is checked. The emergency flow rate recovery program is started to gradually restore the flow rate to the predetermined value. The data of all relevant sensors are collected to determine whether there is an abnormality. The system time delay τ is gradually increased. If the system is still unstable, the auxiliary flow rate adjustment system is started. When the rate of change of the external environment exceeds the preset threshold, it is judged that the external environment is changing rapidly, the temperature and pressure stabilization system is activated, the fan speed and output are adjusted according to the third preset standard, and the time delay τ is adjusted. If the external conditions continue to deteriorate, the emergency shutdown procedure is started and the alarm is triggered.

6. An aeroponic planting system for Radix Isatidis as claimed in any one of claims 1 to 5, characterized in that: include: Negative pressure module, optimization module, control module and sampling detection module; The negative pressure module is equipped with an adjustable fan for each planting area and connected to a pressure differential sensor. According to the real-time feedback from the pressure differential sensor, the fan speed is automatically adjusted to establish and maintain a negative pressure environment in the planting area. HEPA and ULPA filters are set at the aerosol outlet, combined with an electronic dust collector, and RFID tags are installed for these filters to track service life and replacement cycle; The optimization module uses CFD software to simulate and predict the air flow direction in the planting area, dynamically adjusts the air flow direction based on the simulation data in combination with the automated damper adjustment system, collects the air velocity, temperature, humidity, pressure difference and harmful gas concentration parameters in the negative pressure planting area, cleans these data, removes abnormal values, uses historical data to predict the air flow direction, compares the prediction results with the real-time data, and makes necessary adjustments; The control module is used to deploy IoT technology and sensor networks, monitor the air quality and pressure difference in each area in real time, transmit the data to the central database in real time, and perform data analysis. If the data shows abnormal conditions, the system automatically triggers an alarm, deploys a cloud computing platform, and automatically optimizes the control strategy of negative pressure and air flow.

7. The isatis indigotica aeroponic planting system according to claim 6, characterized in that: The sampling detection module comprises a measuring component (100), wherein the measuring component (100) comprises a base (101), a wheel (102) arranged at the bottom of the base (101), an aerosol pump (103) arranged on the base (101), a pipeline to be tested (104) connected to the aerosol pump (103), a sensor (105) arranged on the pipeline to be tested (104), and an information processing terminal (106) connected to the sensor (105); The reinforcement assembly (200) is arranged at the bottom of the pipeline (104) to be tested, and comprises a mounting seat (201), a clamp (202) arranged in the mounting seat (201), a spring (203) connected to the clamp (202), a rotating block (204) arranged between the clamps (202), and a handle (205) connected to the rotating block (204).

8. The isatis indigotica aeroponic planting system according to claim 6, characterized in that: A through hole (104a) is provided on the side wall of the pipeline (104) to be tested, and two through holes (104a) are arranged opposite to each other. Two sensors (105) are provided, and the sensors (105) correspond to the through holes (104a) one by one. The sensors (105) are inserted into the through holes (104a), and the information processing end (106) receives data from the sensor (105) and outputs the amount of aerosol flowing through the pipeline (104) to be tested.

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