Full-automatic intelligent plant ecological culture device

Abstract

The utility model belongs to the technical field of plant culture, and relates to a full-automatic intelligent plant ecological culture device. According to the device, a flowerpot is arranged in a cultivation box body, and an LED light supplement lamp and an image acquisition module are installed on the cultivation box body through a support. A soil humidity sensor and a pH sensor are arranged in the flowerpot, and a temperature sensor, an illumination intensity sensor and a spectrum sensor are arranged on the support. And the flexible water pipe is connected with the water pump and the water tank and is provided with a sprinkler head at the end. A user is in wireless connection with the cloud platform through the communication module, and plant images, recognition results and soil environment data are checked in real time through cloud Web service. According to the device, plant species are automatically identified through image identification and deep learning technologies, light beam angles are adjusted according to plant shape features, illumination parameters are adjusted, the illumination environment is optimized, and the growth requirements of plants are met. Meanwhile, through real-time monitoring of various sensors, healthy growth of plants is ensured, the problem that an existing intelligent plant cultivation system is single in function is solved, and the flower maintenance efficiency is improved.

Description

Technical Field

[0001] The utility model belongs to the technical field of plant cultivation, and specifically relates to a fully automatic intelligent plant ecological cultivation device. Background Art

[0002] In recent years, as people's pursuit of ecological environment and green life quality has become increasingly stronger, the flower care industry is rapidly rising and showing huge market potential. However, the traditional flower care method mainly relies on frequent manual monitoring and management, which is not only inefficient, but also easily affected by surrounding environmental factors, such as insufficient light, unsuitable temperature and humidity, etc., and it is difficult to meet the needs of modern fast-paced life for efficient and precise care.

[0003] The smart plant cultivation systems currently on the market have optimized the LED chip materials and structures to a certain extent, making the emission spectrum more compatible with the plant absorption spectrum and improving the light output efficiency. These systems are usually able to analyze the lighting needs of plants by monitoring their status and dynamically adjust the LED light parameters to meet these needs. However, these systems are often unable to automatically identify plant species and set the corresponding light intensity for supplementary lighting according to the lighting needs of different plants. In addition, the accuracy of plant species identification is also facing challenges and is difficult to be effectively guaranteed.

[0004] As one of the key factors affecting plant growth, the quality and intensity of light have a vital impact on the growth and development of plants. However, existing intelligent plant cultivation systems often cannot automatically adjust the light and beam angle according to the shape characteristics of the plant, such as height, width, and density of branches and leaves, to provide a more accurate lighting environment. At the same time, these systems also lack the function of automatically adjusting the light spectrum that is more suitable for plant growth according to soil moisture, and cannot achieve comprehensive optimization of the plant growth environment.

[0005] Therefore, how to develop an intelligent plant cultivation system that can automatically identify plant species, adjust lighting parameters according to plant needs, and have automatic watering and soil quality detection functions is of great significance for improving flower maintenance efficiency and promoting plant growth. Such a system can not only meet the pursuit of green life by modern people, but also promote the innovative development of the flower maintenance industry. Utility Model Content

[0006] Aiming at the problem that the existing intelligent plant cultivation system in the background technology has single function, the utility model provides a fully automatic intelligent plant ecological cultivation device.

[0007] To achieve the above-mentioned purpose, the utility model adopts the following technical scheme: a fully automatic intelligent plant ecological cultivation device, comprising a flower pot, the flower pot is placed in a cultivation box, an LED fill light module is arranged on the cultivation box through a bracket, the LED fill light module is located directly above the flower pot, and an image acquisition module is arranged on it through a connecting rod, a microcontroller is arranged on the cultivation box, a soil moisture sensor and a pH sensor are arranged in the flower pot, a temperature sensor, a light intensity sensor, and a spectrum sensor are arranged on the bracket, a water tank and a water pump are arranged in the cultivation box, the water pump is installed on the water tank through a motor support, the water outlet of the water tank is connected to the inlet of the water pump through a first water pipe, the outlet of the water pump is connected to the flexible water pipe through a second water pipe, the flexible water pipe is installed on the cultivation box, and a spray head is arranged at the end thereof, the water The water outlet of the box is connected to the water injection port through a third water pipe, and the water injection port is embedded in the cultivation box body. The signal output ends of the image acquisition module, the soil moisture sensor, the pH sensor, the temperature sensor, the light intensity sensor, and the spectrum sensor are respectively connected to the signal input end of the microcontroller through data lines, the LED fill light module is connected to the signal output end of the microcontroller, the water pump is connected to the signal output end of the microcontroller through a driving module, and the signal output end of the microcontroller is wirelessly connected to the cloud platform through a communication module. Users can view plant images, recognition results and soil environment data in real time through a visual monitoring page provided in a cloud Web service; a DC power supply is arranged on the cultivation box body, and the DC power supply provides a suitable working voltage for the LED fill light module through a boost circuit module; the DC power supply supplies power to the microcontroller and other modules and sensors through a voltage stabilizing circuit module.

[0008] As a further supplement to the above technical solution, a power switch is provided on the base of the bracket for controlling the on and off of the circuit.

[0009] As a further supplement to the above technical solution, a heat dissipation grille is provided on the side wall of the cultivation box, and the heat dissipation grille allows external cold air to enter the box to form convection, thereby maintaining the internal temperature of the cultivation box stable and ensuring the normal operation of the equipment and the healthy growth of the plants.

[0010] As a further supplement to the above technical solution, the LED fill light module includes multiple apertures, and the wavelength is 410-700nm.

[0011] As a further explanation and limitation of the above technical solution, the boost circuit module uses a boost circuit designed with the LM3488 chip to boost the output 5V voltage to 18V, and the voltage stabilizing circuit module uses a voltage stabilizing circuit designed with the AMS1117-3.3 chip to adjust the output 5V voltage to 3.3V.

[0012] As a further explanation and limitation of the above technical solution, the microcontroller is an STM32F407VET6 single-chip microcomputer and a peripheral circuit of a DCMI interface level conversion, a power indicator light, and a status LED, the image acquisition module is an OV7670 image sensor, and the PC6 pin, PC7 pin, PC8 pin, PB6 pin, PE1 pin, PE4 pin, PE5 pin, and PE6 pin of the STM32F407VET6 single-chip microcomputer are respectively connected to the DCMI_D0-D7 data pins of the OV7670 image sensor. The PA4 pin, PA6 pin and PB7 pin of the STM32F407VET6 microcontroller are respectively connected to the DCMI_HSYNC pin, DCMI_PIXCLK pin and DCMI_VSYNC pin of the OV7670 image sensor. The LED fill light module adopts the LP5018RSMR chip to control circuits with different apertures. The SCL pin, SDA pin and EN pin of the LP5018RSMR chip are respectively connected to the PA8 pin, P The C9 pin and the PB10 pin are connected, the OUT1-OUT1 pin of the LP5018RSMR chip is respectively connected to the OUT1-OUT1 pin in the aperture circuit, the communication module is an ESP32-C3Wi-Fi module, the RXD pin and the TXD pin of the ESP32-C3Wi-Fi module are respectively connected to the PA9 pin and the PA10 pin of the STM32F407VET6 microcontroller, the soil moisture sensor, the pH sensor and the light intensity sensor are MC-4IN 1, pH10, BH1750, and the 3 pins and 1 pins of the three sensors are respectively connected to the PB8 pin and PB9 pin of the STM32F407VET6 microcontroller, the temperature sensor is DS18B20, the DQ pin of DS18B20 is connected to the PB12 pin of the STM32F407VET6 microcontroller, the spectrum sensor is AS7343, the SCL pin and SDA pin of AS7343 are respectively connected to the PA8 pin and PC9 pin of the STM32F407VET6 microcontroller.

[0013] As a further explanation and limitation of the above technical solution, the driving module adopts an LM358 operational amplifier chip, pin 4 of the LM358 operational amplifier chip is grounded, pin 8 of the LM358 operational amplifier chip is connected to a 5V power supply, pin 2 of the LM358 operational amplifier chip is grounded through a resistor R12, pin 3 of the LM358 operational amplifier chip is connected to the PE9 pin of the STM32F407VET6 microcontroller through a resistor R11, pin 3 of the LM358 operational amplifier chip is grounded through a capacitor C4, and a jumper capacitor is connected between pin 1 and pin 3 of the LM358 operational amplifier chip. Resistor R13 forms a negative feedback circuit, pin 1 of the LM358 op amp chip is connected to pin 2 of the motor interface J3, pin 1 of the motor interface J3 is grounded, pin 2 of the motor interface J3 is grounded through capacitor C6, capacitors C4 and C6 play the role of filtering and stabilizing the circuit, that is, when the PE9 pin of the STM32F407VET6 microcontroller outputs a high level, the LM358 op amp chip outputs 5v and the water pump runs; when the PE9 pin of the STM32F407VET6 microcontroller outputs a low level, the J3 voltage is low and the water pump cannot be driven to run.

[0014] Compared with the prior art, the utility model has the following advantages:

[0015] 1. The utility model realizes the real-time transmission of images and various sensor data to the cloud platform through the Wi-Fi module ESP32-C3. The cloud platform uses advanced image processing technology and deep learning algorithms to pre-process images, accurately identify plant species, and query the corresponding lighting requirement parameters according to the species. This efficient data transmission and processing mechanism greatly improves the operating efficiency of the equipment.

[0016] 2. Based on image recognition and deep learning technology, the utility model can automatically identify the plant species in the flowerpot and automatically adjust the beam angle and aperture number of the LED fill light according to its lighting needs. This intelligent lighting adjustment method does not require manual settings and can be automatically adjusted according to the actual needs of the plants, thereby improving the utilization rate of light energy.

[0017] 3. The utility model integrates multiple sensors including soil moisture sensor, temperature sensor, light intensity sensor and pH sensor to monitor soil moisture, temperature, light conditions and acidity in real time. The microcontroller can accurately adjust the lighting strategy of the LED fill light according to these environmental data to promote plant growth. At the same time, the water pump can be automatically started for watering according to the soil moisture, realizing comprehensive management of the plant growth environment.

[0018] 4. The utility model provides a visual monitoring page through the cloud platform, and users can view plant images, identification results and soil environmental data in real time. This cloud monitoring method enables users to understand the growth status and environmental conditions of plants at any time, which provides great convenience for plant management.

[0019] 5. This utility model realizes intelligent management of the plant growth environment by integrating advanced image recognition technology, sensor technology and cloud platform technology, improves equipment operation efficiency and light energy utilization, and provides users with convenient cloud monitoring functions. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a three-dimensional diagram of the fully automatic intelligent plant ecological cultivation device in the utility model;

[0021] Figure 2 This is a structural diagram of the fully automatic intelligent plant ecological cultivation device in the utility model;

[0022] Figure 3 This is a top view of the fully automatic intelligent plant ecological cultivation device in the utility model;

[0023] Figure 4 for Figure 3 Sectional view of AA in the middle;

[0024] Figure 5 This is a circuit connection block diagram of the fully automatic intelligent plant ecological cultivation device in the utility model;

[0025] Figure 6 This is a circuit schematic diagram of a voltage stabilizing circuit module in an embodiment of the utility model;

[0026] Figure 7 This is a circuit schematic diagram of a boost circuit module in an embodiment of the utility model;

[0027] Figure 8 It is a circuit schematic diagram in an embodiment of the utility model;

[0028] Fig. 9 This is the pin diagram of the STM32F407VET6 single chip microcomputer in the embodiment of the utility model;

[0029] Fig.10 This is a pin diagram of the OV7670 image sensor in the embodiment of the utility model;

[0030] Fig.11 This is a circuit schematic diagram of the ESP32-C3 Wi-Fi module in the embodiment of the utility model;

[0031] Fig.12 The schematic diagram of the circuit of each sensor in the embodiment of the utility model;

[0032] Fig.13 This is a circuit diagram of the LED fill light module in the embodiment of the utility model;

[0033] Fig.14 Schematic diagram of the circuit of the driving module in the embodiment of the utility model.

[0034] In the figure: the flowerpot is 1, the cultivation box is 2, the bracket is 3, the LED fill light module is 4, the connecting rod is 5, the image acquisition module is 6, the microcontroller is 7, the soil moisture sensor is 8, the pH sensor is 9, the temperature sensor is 10, the light intensity sensor is 11, the spectrum sensor is 12, the motor support is 13, the water injection port is 14, the flexible water pipe is 15, the sprinkler head is 16, the heat dissipation grille is 17, the water tank is 18, the water pump is 19, the second water pipe is 20, the first water pipe is 21, the third water pipe is 22, the drive module is 23, the communication module is 24, the DC power supply is 25, the power switch is 26, the boost circuit module is 27, and the voltage stabilizing circuit module is 28. DETAILED DESCRIPTION

[0035] In order to further illustrate the technical solution of the present invention, the present invention is further described below through embodiments.

[0036] Embodiment 1

[0037] As attached Figures 1 to 5As shown, a fully automatic intelligent plant ecological cultivation device includes a flower pot 1, which is placed in a cultivation box 2. An LED fill light module 4 is arranged on the cultivation box 2 through a bracket 3. The LED fill light module 4 is located directly above the flower pot 1, and an image acquisition module 6 is arranged on the LED fill light module 4 through a connecting rod 5. A microcontroller 7 is arranged on the cultivation box 2, a soil moisture sensor 8 and a pH sensor 9 are respectively arranged in the flower pot 1, and a temperature sensor 9 is respectively arranged on the bracket 3. The cultivation box 2 is provided with a water tank 18 and a water pump 19, respectively. The water pump 19 is installed on the water tank 18 through a motor support 13. The water outlet of the water tank 18 is connected to the inlet of the water pump 19 through a first water pipe 21. The outlet of the water pump 19 is connected to the flexible water pipe 15 through a second water pipe 20. The flexible water pipe 15 is installed on the cultivation box 2 and has a spray head 16 at its end. The water outlet of the water tank 18 is connected to the inlet of the water pump 19 through a first water pipe 21. The outlet of the water pump 19 is connected to the flexible water pipe 15 through a second water pipe 20. The flexible water pipe 15 is installed on the cultivation box 2 and has a spray head 16 at its end. The inlet 17 is connected to the water inlet 17 through a third water pipe 22, and the water inlet 17 is embedded in the cultivation box 2. The signal output ends of the image acquisition module 6, soil moisture sensor 8, pH sensor 9, temperature sensor 10, light intensity sensor 11, and spectrum sensor 12 are respectively connected to the signal input end of the microcontroller 7 through data lines, the LED fill light module 4 is connected to the signal output end of the microcontroller 7, the water pump 19 is connected to the signal output end of the microcontroller 7 through a driving module 23, and the signal output end of the microcontroller 7 is wirelessly connected to the cloud platform through a communication module 24. Users can view plant images, recognition results and soil environment data in real time through a visual monitoring page provided in the cloud Web service; a DC power supply 25 is provided on the cultivation box 2, and the DC power supply 25 provides a suitable working voltage for the LED fill light module 4 through a boost circuit module 27; the DC power supply 25 supplies power to the microcontroller 7 and other modules and sensors through a voltage stabilizing circuit module 28. At the same time, a power switch 26 is provided on the base of the bracket 3 to control the on and off of the circuit.

[0038] As a further feature of this embodiment, the LED fill light module 4 includes a plurality of apertures, and the wavelength thereof is 410-700 nm.

[0039] In the above embodiment, as shown in the attached Figures 6 to 13As shown, the microcontroller 7 is a STM32F407VET6 single-chip microcomputer and a peripheral circuit of a DCMI interface level conversion, a power indicator light, and a status LED. The image acquisition module 6 is an OV7670 image sensor. The PC6 pin, PC7 pin, PC8 pin, PB6 pin, PE1 pin, PE4 pin, PE5 pin, and PE6 pin of the STM32F407VET6 single-chip microcomputer are respectively connected to the DCMI_D0-D7 data pins of the OV7670 image sensor. The PA4 pin, PA6 pin and PB7 pin of the 7VET6 microcontroller are respectively connected to the DCMI_HSYNC pin, DCMI_PIXCLK pin and DCMI_VSYNC pin of the OV7670 image sensor. The LED fill light module 4 uses the LP5018RSMR chip to control circuits with different apertures. The SCL pin, SDA pin and EN pin of the LP5018RSMR chip are respectively connected to the PA8 pin, PC9 pin and PB10 pin of the STM32F407VET6 microcontroller. The OUT1-OUT1 pins of the LP5018RSMR chip are respectively connected to the OUT1-OUT1 pins in the aperture circuit, the communication module 24 is an ESP32-C3Wi-Fi module, the RXD pin and the TXD pin of the ESP32-C3Wi-Fi module are respectively connected to the PA9 pin and the PA10 pin of the STM32F407VET6 microcontroller, the soil moisture sensor 8, the pH sensor 9 and the light intensity sensor 11 are MC-4IN1, pH1 0, BH1750, and the 3 pins and 1 pins of the three sensors are respectively connected to the PB8 pin and PB9 pin of the STM32F407VET6 single-chip microcomputer, the temperature sensor 10 is DS18B20, the DQ pin of DS18B20 is connected to the PB12 pin of the STM32F407VET6 single-chip microcomputer, the spectrum sensor 12 is AS7343, the SCL pin and SDA pin of AS7343 are respectively connected to the PA8 pin and PC9 pin of the STM32F407VET6 single-chip microcomputer. The boost circuit module 27 uses the boost circuit designed by the LM3488 chip to boost the output 5V voltage to 18v, and the voltage stabilizing circuit module 28 uses the voltage stabilizing circuit designed by the AMS1117-3.3 chip to adjust the output 5V voltage to 3.3V.

[0040] As attached Fig.14As shown, the driving module 23 adopts the LM358 operational amplifier chip, the 4th pin of the LM358 operational amplifier chip is grounded, the 8th pin of the LM358 operational amplifier chip is connected to the 5V power supply, the 2nd pin of the LM358 operational amplifier chip is grounded through the resistor R12, the 3rd pin of the LM358 operational amplifier chip is connected to the PE9 pin of the STM32F407VET6 single-chip computer through the resistor R11, the 3rd pin of the LM358 operational amplifier chip is grounded through the capacitor C4, and the resistor R13 is connected between the 1st pin and the 3rd pin of the LM358 operational amplifier chip to form a negative feedback Circuit, pin 1 of the LM358 op amp chip is connected to pin 2 of the motor interface J3, pin 1 of the motor interface J3 is grounded, pin 2 of the motor interface J3 is grounded through capacitor C6, capacitors C4 and C6 play the role of filtering and stabilizing the circuit, that is, when the PE9 pin of the STM32F407VET6 microcontroller outputs a high level, the LM358 op amp chip outputs 5V, and the water pump 19 runs; when the PE9 pin of the STM32F407VET6 microcontroller outputs a low level, the J3 voltage is low and the water pump 19 cannot be driven to run.

[0041] In the above embodiment, when the user uses it, the captured image is processed by the microcontroller 7 through the OV7670 image sensor and then uploaded to the cloud platform through the ESP32-C3Wi-Fi module. The plant species in the flowerpot 1 are identified by image recognition technology and deep learning, and the plant characteristics (height, width, and density of branches and leaves) are analyzed. The lighting requirements of the corresponding plants are queried through the database containing information on the lighting requirements of different plant species. Then, the current light intensity, soil moisture, and spectrum data are detected by the light intensity sensor 11, the spectrum sensor 12, and the soil moisture sensor 8. The light intensity gap and spectrum difference corresponding to the plant are calculated to determine whether the light intensity is too weak. If so, the total PWM duty cycle of the LED is calculated according to the light intensity parameter, and the PWM duty cycle of different color channels is calculated according to the spectrum parameter. The red and blue light ratio is appropriately changed in combination with the soil moisture. The required beam angle is determined according to the characteristics of height, width, and density of branches and leaves, and the LED control strategy is formed. The microcontroller 7 will parse the light intensity, spectrum distribution, and beam angle parameters and pass them to the LP5018RSMR chip for execution, and finally adjust the LED fill light.

[0042] If the soil moisture sensor 8 detects that the soil is too dry, the LED fill light module 4 will increase the proportion of blue light to promote the plants to absorb more water. If the soil is too moist, the LED fill light module 4 will increase the proportion of red light to help plants better utilize light energy, thereby promoting root development and leaf growth. For trees with dense branches and leaves, increase the number of apertures of the LED fill light and use 40°-45° light control for irradiation. For narrow and tall trees, reduce the number of apertures of the LED fill light and it is more appropriate to choose lamps with a beam angle between 6°-20°.

[0043] In order to realize soil quality monitoring, a soil moisture sensor 8, a pH sensor 9, a temperature sensor 10, and a light intensity sensor 11 are integrated to monitor and record the temperature and light conditions as well as the acidity and alkalinity of the soil, and a visual monitoring page is provided in the cloud Web service to view plant images, identification results, and soil environmental data in real time.

[0044] Embodiment 2

[0045] As attached Figure 2 As shown, a heat dissipation grille 14 is provided on the side wall of the cultivation box 2, and the design of the heat dissipation grille 14 can significantly improve the heat dissipation effect of the box. The design of the heat dissipation grille 14 allows the external cold air to smoothly enter the interior of the box, forming convection with the hot air inside the box, and effectively reducing the temperature inside the box. This design not only ensures the stability of the temperature inside the cultivation box, avoids the adverse effects on the growth of plants due to excessive temperature, but also ensures the normal operation of the equipment and extends its service life. At the same time, through the above-mentioned heat dissipation structure, the heat generated by the equipment during operation is reduced, and energy consumption is reduced. At the same time, the use of the heat dissipation grille 14 also makes the air circulation inside the box smoother, reduces the problems such as bacterial growth caused by poor air circulation, and is conducive to creating a healthier and more environmentally friendly growth environment.

[0046] The above shows and describes the main features and advantages of the utility model. For those skilled in the art, it is obvious that the specific implementation of the utility model is not limited to the details of the above exemplary embodiments, and the creative ideas and design ideas of the utility model can be realized in other specific forms without departing from the spirit or basic features of the utility model, which should be equivalent to the protection scope disclosed in the technical solution of the utility model. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the utility model is limited by the attached claims rather than the above description, so it is intended to include all changes within the meaning and scope of the equivalent elements of the claims in the utility model.

[0047] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A fully automatic intelligent plant ecological cultivation device, comprising a flower pot (1), characterized in that: The flower pot (1) is placed in a cultivation box (2); an LED fill light module (4) is arranged on the cultivation box (2) via a bracket (3); the LED fill light module (4) is located directly above the flower pot (1), and an image acquisition module (6) is arranged on the LED fill light module (4) via a connecting rod (5); a microcontroller (7) is arranged on the cultivation box (2); a soil moisture sensor (8) and a pH sensor (9) are arranged in the flower pot (1); and a temperature sensor (10) and a light intensity sensor (11) are arranged on the bracket (3). , a spectral sensor (12), a water tank (18) and a water pump (19) are respectively arranged in the cultivation box (2), the water pump (19) is installed on the water tank (18) through a motor support (13), the water outlet of the water tank (18) is connected to the inlet of the water pump (19) through a first water pipe (21), the outlet of the water pump (19) is connected to the flexible water pipe (15) through a second water pipe (20), the flexible water pipe (15) is installed on the cultivation box (2), and a spray head (16) is arranged at the end thereof, the water outlet of the water tank (18) is connected to the inlet of the water pump (19) through a second water pipe (20), the flexible water pipe (15) is installed on the cultivation box (2), and a spray head (16) is arranged at the end thereof, and the water outlet of the water tank (18) is connected to the inlet of the water pump (19) through a second water pipe (20). The water inlet (17) is connected to the cultivation box (2) through a third water pipe (22); the water inlet (17) is embedded in the cultivation box (2); the signal output ends of the image acquisition module (6), the soil moisture sensor (8), the pH sensor (9), the temperature sensor (10), the light intensity sensor (11), and the spectrum sensor (12) are respectively connected to the signal input end of the microcontroller (7) through a data line; the LED fill light module (4) is connected to the signal output end of the microcontroller (7); the water pump (19) is connected to the microcontroller (7) through a drive module (23). ), the signal output end of the microcontroller (7) is wirelessly connected to the cloud platform through a communication module (24), and a user can view plant images, identification results and soil environment data in real time through a visual monitoring page provided by a cloud Web service; a DC power supply (25) is arranged on the cultivation box (2), and the DC power supply (25) provides a corresponding working voltage for the LED fill light module (4) through a boost circuit module (27); and the DC power supply (25) supplies power to the fully automatic intelligent plant ecological cultivation device through a voltage stabilizing circuit module (28).

2. A fully automatic intelligent plant ecological cultivation device according to claim 1, characterized in that: A power switch (26) is provided on the base of the bracket (3) for controlling the on and off of the circuit.

3. The fully automatic intelligent plant ecological cultivation device according to claim 1, characterized in that: A heat dissipation grille (14) is provided on the side wall of the cultivation box (2). The heat dissipation grille (14) allows external cold air to enter the box to form convection, thereby maintaining the internal temperature of the cultivation box (2) stable and ensuring the normal operation of the equipment and the healthy growth of the plants.

4. The fully automatic intelligent plant ecological cultivation device according to claim 1, characterized in that: The LED fill light module (4) comprises a plurality of apertures, and the wavelength thereof is 410-700 nm.

5. A fully automatic intelligent plant ecological cultivation device according to any one of claims 1 to 4, characterized in that: The boost circuit module (27) uses a boost circuit designed with an LM3488 chip to boost the output 5V voltage to 18V, and the voltage stabilizing circuit module (28) uses a voltage stabilizing circuit designed with an AMS1117-3.3 chip to regulate the output 5V voltage to a 3.3V voltage.

6. A fully automatic intelligent plant ecological cultivation device according to claim 5, characterized in that: The microcontroller (7) is an STM32F407VET6 single-chip microcomputer and a peripheral circuit of a DCMI interface level conversion, a power indicator light, and a status LED. The image acquisition module (6) is an OV7670 image sensor. The PC6 pin, PC7 pin, PC8 pin, PB6 pin, PE1 pin, PE4 pin, PE5 pin, and PE6 pin of the STM32F407VET6 single-chip microcomputer are respectively connected to the DCMI_D0-D7 data pins of the OV7670 image sensor. The PA4 pin, PA6 pin and PB7 pin of the T6 single-chip microcomputer are respectively connected to the DCMI_HSYNC pin, DCMI_PIXCLK pin and DCMI_VSYNC pin of the OV7670 image sensor; the LED fill light module (4) uses the LP5018RSMR chip to control circuits with different apertures; the SCL pin, SDA pin and EN pin of the LP5018RSMR chip are respectively connected to the PA8 pin, PC9 pin and PB10 pin of the STM32F407VET6 single-chip microcomputer; The OUT1-OUT1 pins of the LP5018RSMR chip are respectively connected to the OUT1-OUT1 pins in the aperture circuit, the communication module (24) is an ESP32-C3 Wi-Fi module, the RXD pin and the TXD pin of the ESP32-C3 Wi-Fi module are respectively connected to the PA9 pin and the PA10 pin of the STM32F407VET6 single chip microcomputer, the soil moisture sensor (8), the pH sensor (9) and the light intensity sensor (11) are MC-4IN1, pH1 0, BH1750, and the 3 pins and 1 pins of the three sensors are respectively connected to the PB8 pin and PB9 pin of the STM32F407VET6 single chip microcomputer, the temperature sensor (10) is a DS18B20, the DQ pin of the DS18B20 is connected to the PB12 pin of the STM32F407VET6 single chip microcomputer, and the spectrum sensor (12) is an AS7343, the SCL pin and SDA pin of the AS7343 are respectively connected to the PA8 pin and PC9 pin of the STM32F407VET6 single chip microcomputer.

7. A fully automatic intelligent plant ecological cultivation device according to claim 6, characterized in that: The driving module (23) adopts an LM358 operational amplifier chip, wherein pin 4 of the LM358 operational amplifier chip is grounded, pin 8 of the LM358 operational amplifier chip is connected to a 5V power supply, pin 2 of the LM358 operational amplifier chip is grounded via a resistor R12, pin 3 of the LM358 operational amplifier chip is connected to pin PE9 of an STM32F407VET6 single-chip computer via a resistor R11, pin 3 of the LM358 operational amplifier chip is grounded via a capacitor C4, a resistor R13 is connected between pins 1 and 3 of the LM358 operational amplifier chip to form a negative feedback circuit, pin 1 of the LM358 operational amplifier chip is connected to pin 2 of a motor interface J3, pin 1 of the motor interface J3 is grounded, pin 2 of the motor interface J3 is grounded via a capacitor C6, and capacitors C4 and C6 play a role in filtering and stabilizing the circuit.

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