A flower unmanned intelligent retail cabinet system

Abstract

The present invention provides an unmanned intelligent retail cabinet system for flowers, which relates to the technical field of flower cabinets, and comprises an equipment component and a control system. The equipment component comprises a cabinet body and a control compartment arranged above the cabinet body. The cabinet body is provided with a storage space inside, and the storage space is provided with a plurality of groups. The front side of each group of the storage space is provided with a door with an electromagnetic lock, the front side of the cabinet body is provided with a double-layer thermal insulation glass door, and the cabinet body is provided with a refrigeration unit inside. The present invention adds an automatic temperature and humidity control function on the basis of the cabinet body, connects with a thermostat module through a wireless communication module, and then communicates with a cloud management system server to control the operation of the refrigeration unit, change the environmental parameters of the storage space, realize remote setting of the temperature and humidity parameters for flower preservation, and can effectively and automatically adjust the constancy of the temperature and humidity in the cabinet according to the set temperature, so as to facilitate remote management and be beneficial to the preservation of flowers and delay the flowering period.

Description

Technical Field

[0001] The present invention relates to the technical field of flower cabinets, and in particular to an unmanned intelligent flower retail cabinet system. Background Art

[0002] Flower cabinet is a kind of equipment specially used for displaying and preserving flowers. It has built-in space to provide a transparent storage location for flowers, thus ensuring the ornamental value of flowers. It is often used in flower shops, supermarkets, wedding venues and other occasions where flowers need to be displayed and sold.

[0003] The flower cabinets currently on the market are mainly used to display flowers, have no intelligent delivery mechanism, and cannot maintain constant temperature and humidity, resulting in a shortened shelf life of flowers when they are stored. The temperature and humidity cannot be constant, and the flowers may dry up or freeze. At the same time, some flower cabinets have certain adjustment functions, but the adjustment is only in the device and cannot be adjusted remotely, and cannot adapt to the preservation and automatic sales of flowers. Therefore, the present invention proposes an unmanned intelligent retail cabinet system for flowers to solve the problems existing in the prior art. Summary of the invention

[0004] In view of the above problems, the present invention proposes an unmanned intelligent retail cabinet system for flowers, which can realize the remote setting of temperature and humidity parameters for flower preservation, and can automatically adjust the constancy of temperature and humidity in the cabinet according to the set temperature, which is convenient for remote management and beneficial to the preservation of flowers and the delay of flowering period.

[0005] To achieve the purpose of the present invention, the present invention is implemented through the following technical solutions: a flower unmanned intelligent retail cabinet system, including an equipment component and a control system, the equipment component includes a cabinet body and a control compartment arranged above the cabinet body, the cabinet body is provided with a storage space inside, and the storage space is provided with multiple groups, each group of the storage space is provided with a door with an electromagnetic lock on the front side, the cabinet body is provided with a double-layer thermal insulation glass door on the front side, and the cabinet body is provided with a refrigeration unit inside;

[0006] The control system is arranged inside the control warehouse, and the control system includes a wireless communication module, a main control module, a temperature controller module and an electromagnetic lock control module. The wireless communication module is connected to the temperature controller module through the main control module, and the wireless communication module is synchronized to communicate with the cloud management system server for remotely controlling the refrigeration unit to set the temperature and humidity parameters. A code scanning area is provided on the front side of the control warehouse. The code scanning connection purchase program is connected to the cloud management system server, and instructions are sent to the wireless communication module. The electromagnetic lock control module is driven by the main control module to control the electromagnetic lock to unlock.

[0007] A further improvement is that the refrigeration group is divided into a plurality of refrigeration units, and the plurality of groups of refrigeration units are respectively connected to the plurality of groups of storage spaces through pipelines.

[0008] A further improvement is that a temperature sensor and a humidity sensor are provided in each group of the storage space, and the signal output ends of the temperature sensor and the humidity sensor are connected to the thermostat module. The thermostat module controls the multiple groups of refrigeration units to adjust the temperature and humidity respectively according to the set environmental parameters of the cloud management system server and the real-time data of the temperature sensor and the humidity sensor.

[0009] A further improvement is that: a plurality of groups of storage spaces are each provided with a camera, the camera is used to collect image data of flowers in the current storage space, and the signal output end of the camera is connected to the cloud management system server through the wireless communication module.

[0010] A further improvement is that: a purchase program service unit and an environment control unit are provided inside the cloud management server, the environment control unit has built-in environment parameter setting module, flower recognition module and acquisition module, the flower recognition module includes a flower parameter database and a flower comparison model, the flower parameter database has built-in color, texture and shape parameters of multiple flowers, the acquisition module is used to receive the signal data of the camera transmitted by the wireless communication module and the positioning data of the storage space where the camera is currently located, the flower comparison model uses an analytical algorithm to analyze the image data of the camera, analyzes the color, texture and shape parameters of the flowers, and uses a neural algorithm to compare the analyzed color, texture and shape parameters with the data in the flower parameter database to determine the type of flowers stored in the current storage space.

[0011] A further improvement is that the environmental parameter setting module has built-in environmental parameter data for different types of flowers and provides a manual modification function. After the environmental parameter setting module obtains the identified flower type from the flower recognition module, it matches the required environmental parameters and generates control instructions, and then determines the storage space location of the flower from the acquisition module, thereby sending the corresponding control instructions to the wireless communication module, and controlling the refrigeration unit corresponding to the storage space through the thermostat module to adjust the environmental parameters.

[0012] A further improvement is that the purchasing program service unit has an online shopping mall built in. When the user connects the purchasing program to the cloud management system server by scanning the code area through the mobile terminal, the online shopping mall is automatically connected to provide data for flowers in different storage spaces and feedback to the user's mobile terminal.

[0013] A further improvement is that the purchasing program service unit also has a built-in unlocking instruction generation module. When a user places an order for flowers from a mobile mall, the unlocking instruction generation module automatically matches the location of the storage space described by the flowers, and based on the location data, generates an unlocking instruction and sends it to the wireless communication module, thereby controlling the electromagnetic lock of the storage space at the specified location to unlock through the electromagnetic lock control module, thereby achieving the function of automatically selling flowers.

[0014] Further improvements are: the main control module includes a control center platform and a recording unit. The control center platform controls the reception and transmission of the entire system, is used to analyze the received control instructions, and convert them into drive signals suitable for the thermostat module and the electromagnetic lock control module. It is also used to convert the sent signal data, and convert the signals of the temperature sensor, humidity sensor and camera into data packets that are suitable for the overall system recognition.

[0015] A further improvement is that the recording unit is used to record the process of controlling the environmental parameters of the overall system each time and the sales order of automatically selling flowers, and generate a report sheet, add a time stamp, and provide an online retrieval function.

[0016] The beneficial effects of the present invention are:

[0017] 1. The present invention adds an automatic temperature and humidity control function on the basis of the cabinet. It connects with the thermostat module through a wireless communication module, and then communicates with the cloud management system server to control the operation of the refrigeration unit, change the environmental parameters of the storage space, and realize remote setting of the temperature and humidity parameters for fresh-keeping of flowers. It can also automatically adjust the temperature and humidity in the cabinet according to the set temperature, which is convenient for remote management and beneficial to the preservation of flowers and delayed flowering period.

[0018] 2. An independent storage space is divided in the cabinet of the present invention, and a door with an electromagnetic lock is separately added to the space. Flowers can be purchased by scanning the code in the front scanning area to connect to the purchase program. After the purchase, the cloud management system server sends a command to the wireless communication module, and the wireless communication module transmits the command to the main control module to control the electromagnetic lock control module to open the electromagnetic lock at the specified position, thereby realizing the function of automatically selling flowers and increasing the use of the flower preservation cabinet.

[0019] 3. The present invention can collect data of flowers in each storage unit through a camera, analyze the image data of the camera through a flower comparison model using an analytical algorithm, analyze the color, texture and shape parameters of the flowers, and use a neural algorithm to compare the analyzed color, texture and shape parameters with the data in the flower parameter database to determine the type of flowers stored in the current storage space. Therefore, after the environmental parameter setting module obtains the identified flower type, it matches the required environmental parameters and generates a control instruction to control the refrigeration unit of the corresponding storage space to adjust the environment, so as to facilitate individual automatic environmental control according to the different types of stored flowers, which is more intelligent and more convenient to use. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic diagram of the equipment components of the present invention;

[0021] Figure 2 It is a schematic diagram of the control system of the present invention. DETAILED DESCRIPTION

[0022] In order to deepen the understanding of the present invention, the present invention will be further described in detail below in conjunction with examples. The examples are only used to explain the present invention and do not constitute a limitation on the protection scope of the present invention.

[0023] Embodiment 1

[0024] according to Figure 1 , 2 As shown, this embodiment proposes an unmanned intelligent retail cabinet system for flowers, including an equipment component and a control system, wherein the equipment component includes a cabinet body and a control compartment arranged above the cabinet body, wherein a storage space is arranged inside the cabinet body, and the storage space is arranged in a plurality of groups, and a door with an electromagnetic lock is arranged on the front side of each group of the storage space, and a double-layer thermal insulation glass door is arranged on the front side of the cabinet body, and a refrigeration unit is arranged inside the cabinet body;

[0025] The control system is arranged inside the control compartment, and the control system includes a wireless communication module, a main control module, a temperature controller module and an electromagnetic lock control module. The wireless communication module is connected to the temperature controller module through the main control module, and the wireless communication module is synchronized to communicate with the cloud management system server, which is used to remotely control the refrigeration unit to set the temperature and humidity parameters. The front side of the control compartment is provided with a code scanning area, and the purchase program is connected to the cloud management system server by scanning the code, and the instruction is sent to the wireless communication module, and the electromagnetic lock control module is driven by the main control module to control the electromagnetic lock to unlock. When in use, the automatic temperature and humidity control function is added on the basis of the cabinet body, and the temperature controller module is connected through the wireless communication module, and then communicated with the cloud management system server to control the operation of the refrigeration unit, change the environmental parameters of the storage space, and realize the remote setting of the temperature and humidity parameters for fresh-keeping of flowers. It can also effectively and automatically adjust the constancy of the temperature and humidity in the cabinet according to the set temperature, which is convenient for remote management and beneficial to the preservation of flowers and delayed flowering period. At the same time, an independent storage space is divided inside the cabinet, and a door with an electromagnetic lock is added to this space. Flowers can be purchased by scanning the code in the front scanning area to connect to the purchase program. After the purchase, the cloud management system server sends instructions to the wireless communication module, and the wireless communication module transmits the instructions to the main control module to control the electromagnetic lock control module to open the electromagnetic lock at the designated position, thereby realizing the function of automatically selling flowers and increasing the use of the flower preservation cabinet.

[0026] The refrigeration unit is divided into a plurality of refrigeration units, and the plurality of refrigeration units are respectively connected to the plurality of storage spaces through pipelines. A temperature sensor and a humidity sensor are provided in each storage space, and the signal output ends of the temperature sensor and the humidity sensor are connected to the thermostat module. The thermostat module controls the plurality of refrigeration units to adjust the temperature and humidity respectively according to the set environmental parameters of the cloud management system server and the real-time data of the temperature sensor and the humidity sensor. The temperature and humidity parameters for flower preservation can be set remotely, and the temperature and humidity constancy in the cabinet can be automatically adjusted according to the set temperature, which is convenient for remote management and beneficial to the preservation of flowers and the delay of flowering period.

[0027] Cameras are arranged inside the plurality of storage spaces, and the cameras are used to collect image data of flowers in the current storage space, and the signal output end of the camera is connected to the cloud management system server through the wireless communication module.

[0028] The cloud management server is provided with a purchase program service unit and an environment control unit. The environment control unit has an environment parameter setting module, a flower recognition module and a collection module. The flower recognition module includes a flower parameter database and a flower comparison model. The flower parameter database has built-in color, texture and shape parameters of multiple flowers. The collection module is used to receive the signal data of the camera transmitted by the wireless communication module and the positioning data of the storage space where the camera is currently located. The flower comparison model uses an analytical algorithm to analyze the image data of the camera, analyze the color, texture and shape parameters of the flowers, and uses a neuron algorithm to compare the analyzed color, texture and shape parameters with the data in the flower parameter database to determine the type of flowers stored in the current storage space. The analytical algorithm is a mathematical or computational method that extracts useful information and makes decisions by analyzing and processing data. In the flower recognition module, the analytical algorithm is used to analyze the image data of the camera, so as to analyze the color, texture and shape parameters of the flowers. The analytical algorithm can process the original image data from the camera and extract the characteristic information about the flowers through image processing and computer vision technology. These characteristic information usually include color distribution, texture pattern and shape contour, etc., which together constitute the key basis for identifying the type of flowers. In flower recognition, the parsing algorithm includes steps such as edge detection, color space conversion, and texture analysis. For example, the edge detection algorithm can identify the outline and edges of flowers, while the color space conversion algorithm can convert image data from the RGB color space to a color space more suitable for color analysis (such as the HSV color space). Neural algorithm: refers to algorithms based on neural networks (especially deep neural networks), which can simulate the working mode of human brain neurons and handle complex data and pattern recognition tasks. In the flower recognition module, the neural algorithm is used to compare the parsed color, texture, and shape parameters with the data in the flower parameter database to determine the type of flowers stored in the current storage space. The neural algorithm learns the characteristics and patterns of flowers by training the neural network. During the training process, the neural network receives a large amount of image data labeled with flower types and learns how to identify different flower types based on the color, texture, and shape parameters of these data. Once the training is completed, the neural network can be used to classify and identify new image data. In flower recognition, commonly used neural algorithms include convolutional neural networks (CNN), deep residual networks (ResNet), etc. These algorithms extract and represent the features of image data through multi-layer convolutional layers, pooling layers, fully connected layers and other structures, and optimize network parameters through back-propagation algorithms to improve recognition accuracy. For example, ResNet50 is a deep residual network that contains 50 convolutional layers and introduces "skip connections" to alleviate the training difficulties of deep networks for image classification.

[0029] The environmental parameter setting module has built-in environmental parameter data for different flower types and provides a manual modification function. After the environmental parameter setting module obtains the flower type identified from the flower identification module, it matches the required environmental parameters and generates control instructions, and then determines the storage space position of the flower from the acquisition module, thereby sending the corresponding control instructions to the wireless communication module, and controlling the refrigeration unit corresponding to the storage space through the thermostat module to adjust the environmental parameters. It is convenient to perform separate automatic environmental control according to different types of stored flowers, which is more intelligent and convenient to use.

[0030] The purchase program service unit is built with an online mall. When the user connects the purchase program to the cloud management system server by scanning the code scanning area through the mobile terminal, the online mall is automatically connected to provide data for flowers in different storage spaces, and the data is fed back to the user's mobile terminal. The purchase program service unit is also built with an unlocking instruction generation module. When the user places an order for flowers from the mobile mall, the unlocking instruction generation module automatically matches the location of the storage space described by the flowers, and based on the location data, generates an unlocking instruction and sends it to the wireless communication module, so that the electromagnetic lock of the storage space at the specified location is controlled by the electromagnetic lock control module to unlock, thereby achieving the function of automatically selling flowers. When in use, an independent storage space is divided in the cabinet, and a door with an electromagnetic lock is added to the space separately. Flowers can be purchased by scanning the code scanning area at the front end to connect the purchase program. After purchase, the cloud management system server sends instructions to the wireless communication module, and the wireless communication module transmits instructions to the main control module, controls the electromagnetic lock control module, and opens the electromagnetic lock at the specified location, thereby realizing the function of automatically selling flowers and increasing the purpose of the flower preservation cabinet.

[0031] Embodiment 2

[0032] according to Figure 1 , 2 As shown, this embodiment proposes an unmanned intelligent retail cabinet system for flowers, including an equipment component and a control system, wherein the equipment component includes a cabinet body and a control compartment arranged above the cabinet body, wherein a storage space is arranged inside the cabinet body, and the storage space is arranged in a plurality of groups, and a door with an electromagnetic lock is arranged on the front side of each group of the storage space, and a double-layer thermal insulation glass door is arranged on the front side of the cabinet body, and a refrigeration unit is arranged inside the cabinet body;

[0033] The control system is arranged inside the control compartment, and the control system includes a wireless communication module, a main control module, a temperature controller module and an electromagnetic lock control module. The wireless communication module is connected to the temperature controller module through the main control module, and the wireless communication module is synchronized to communicate with the cloud management system server, which is used to remotely control the refrigeration unit to set the temperature and humidity parameters. The front side of the control compartment is provided with a code scanning area, and the purchase program is connected to the cloud management system server by scanning the code, and the instruction is sent to the wireless communication module, and the electromagnetic lock control module is driven by the main control module to control the electromagnetic lock to unlock. When in use, the automatic temperature and humidity control function is added on the basis of the cabinet body, and the temperature controller module is connected through the wireless communication module, and then communicated with the cloud management system server to control the operation of the refrigeration unit, change the environmental parameters of the storage space, and realize the remote setting of the temperature and humidity parameters for fresh-keeping of flowers. It can also effectively and automatically adjust the constancy of the temperature and humidity in the cabinet according to the set temperature, which is convenient for remote management and beneficial to the preservation of flowers and delayed flowering period. At the same time, an independent storage space is divided inside the cabinet, and a door with an electromagnetic lock is added to this space. Flowers can be purchased by scanning the code in the front scanning area to connect to the purchase program. After the purchase, the cloud management system server sends instructions to the wireless communication module, and the wireless communication module transmits the instructions to the main control module to control the electromagnetic lock control module to open the electromagnetic lock at the designated position, thereby realizing the function of automatically selling flowers and increasing the use of the flower preservation cabinet.

[0034] The refrigeration unit is divided into a plurality of refrigeration units, and the plurality of refrigeration units are respectively connected to the plurality of storage spaces through pipelines. A temperature sensor and a humidity sensor are provided in each storage space, and the signal output ends of the temperature sensor and the humidity sensor are connected to the thermostat module. The thermostat module controls the plurality of refrigeration units to adjust the temperature and humidity respectively according to the set environmental parameters of the cloud management system server and the real-time data of the temperature sensor and the humidity sensor. The temperature and humidity parameters for flower preservation can be set remotely, and the temperature and humidity constancy in the cabinet can be automatically adjusted according to the set temperature, which is convenient for remote management and beneficial to the preservation of flowers and the delay of flowering period.

[0035] Cameras are arranged inside the plurality of storage spaces, and the cameras are used to collect image data of flowers in the current storage space, and the signal output end of the camera is connected to the cloud management system server through the wireless communication module.

[0036] The main control module includes a control center platform and a recording unit. The control center platform controls the reception and transmission of the entire system, is used to analyze the received control instructions, and converts them into drive signals adapted to the thermostat module and the electromagnetic lock control module. It is also used to convert the sent signal data, and convert the signals of the temperature sensor, humidity sensor and camera into data packets adapted to the recognition of the overall system. The recording unit is used to record the process of controlling the environmental parameters of the overall system each time and the sales order of the automatic vending of flowers, and generate a report, stamp it with a timestamp, and provide an online retrieval function. Record the process of controlling environmental parameters: Whenever the system adjusts the environmental parameters such as temperature and humidity of the storage space according to the preset or remote instructions, the recording unit will record the entire control process in detail. This includes the environmental parameters before adjustment, the target parameters of adjustment, the working status of each module (such as the thermostat module, the refrigeration unit) during the adjustment process, and the actual environmental parameters after the adjustment is completed. Such records help track and analyze system performance and ensure that the flowers are in the best preservation state; record the sales order of the automatic vending of flowers: Whenever a customer buys flowers by scanning the code, the recording unit will record the detailed information of each transaction, including the purchase time, the type of flowers purchased, the quantity, the price, and the customer's payment method. This information is essential for managing inventory, calculating sales revenue, and handling after-sales issues; Generate reports and timestamp them: The recording unit will automatically generate detailed reports based on the recorded information, including environmental parameter adjustment records, sales records, etc., and accurately timestamp each report. The timestamp ensures the timeliness and accuracy of the report, which facilitates subsequent data analysis and problem tracking; Provide online search function: In order to facilitate management and query, the recording unit also provides an online search function. Users can quickly search and view relevant reports by entering keywords (such as time range, flower type, transaction amount, etc.). This design greatly improves the ease of use and efficiency of the system.

[0037] The unmanned intelligent retail cabinet system for flowers has added the function of automatic temperature and humidity control on the basis of the cabinet. It is connected to the thermostat module through the wireless communication module, and then communicates with the cloud management system server to control the operation of the refrigeration unit, change the environmental parameters of the storage space, and realize remote setting of the temperature and humidity parameters for flower preservation. It can also automatically adjust the temperature and humidity in the cabinet according to the set temperature, which is convenient for remote management and beneficial to the preservation of flowers and delayed flowering period. At the same time, independent storage spaces are divided in the cabinet, and a door with an electromagnetic lock is added to the space separately. Flowers can be purchased by scanning the code in the front-end scanning area to connect to the purchase program. After the purchase, the cloud management system server sends instructions to the wireless communication module, and the wireless communication module transmits instructions to the main control module to control the electromagnetic lock control module to open the electromagnetic lock at the specified position, realizing the function of automatic flower sales and increasing the use of the flower preservation cabinet. And the camera can be used to collect data of flowers in each storage unit respectively, and the camera image data is analyzed by an analytical algorithm through a flower comparison model to analyze the color, texture and shape parameters of the flowers. The analyzed color, texture and shape parameters are compared with the data in the flower parameter database using a neural algorithm to determine the type of flowers stored in the current storage space. Therefore, after the environmental parameter setting module obtains the identified flower type, it matches the required environmental parameters and generates a control instruction to control the refrigeration unit of the corresponding storage space to adjust the environment, so as to facilitate individual automatic environmental control according to the different types of stored flowers, which is more intelligent and more convenient to use.

[0038] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A flower unmanned intelligent retail cabinet system, including equipment components and a control system, characterized in that: The equipment assembly includes a cabinet and a control compartment arranged above the cabinet, the cabinet is provided with a storage space inside, and the storage space is provided in multiple groups, each group of the storage space is provided with a door with an electromagnetic lock on the front side, the cabinet is provided with a double-layer thermal insulation glass door on the front side, and a refrigeration unit is provided inside the cabinet; The control system is arranged inside the control warehouse, and the control system includes a wireless communication module, a main control module, a temperature controller module and an electromagnetic lock control module. The wireless communication module is connected to the temperature controller module through the main control module, and the wireless communication module is synchronized to communicate with the cloud management system server for remotely controlling the refrigeration unit to set the temperature and humidity parameters. A code scanning area is provided on the front side of the control warehouse. The code scanning connection purchase program is connected to the cloud management system server, and instructions are sent to the wireless communication module. The electromagnetic lock control module is driven by the main control module to control the electromagnetic lock to unlock.

2. The unmanned intelligent flower retail cabinet system according to claim 1, characterized in that: The refrigeration machine group is divided into a plurality of refrigeration units, and the plurality of refrigeration units are respectively connected to the plurality of storage spaces through pipelines.

3. The unmanned intelligent flower retail cabinet system according to claim 2, characterized in that: A temperature sensor and a humidity sensor are provided in each group of the storage spaces, and the signal output ends of the temperature sensor and the humidity sensor are connected to the temperature controller module. The temperature controller module controls the multiple groups of refrigeration units to adjust the temperature and humidity respectively according to the set environmental parameters of the cloud management system server and the real-time data of the temperature sensor and the humidity sensor.

4. The unmanned intelligent flower retail cabinet system according to claim 3, characterized in that: Cameras are arranged inside the plurality of storage spaces, and the cameras are used to collect image data of flowers in the current storage space, and the signal output end of the camera is connected to the cloud management system server through the wireless communication module.

5. The unmanned intelligent flower retail cabinet system according to claim 4, characterized in that: The cloud management server is internally provided with a purchase program service unit and an environment control unit. The environment control unit has built-in environment parameter setting module, flower recognition module and acquisition module. The flower recognition module includes a flower parameter database and a flower comparison model. The flower parameter database has built-in color, texture and shape parameters of multiple flowers. The acquisition module is used to receive the signal data of the camera transmitted by the wireless communication module and the positioning data of the storage space where the camera is currently located. The flower comparison model uses an analytical algorithm to analyze the image data of the camera, analyze the color, texture and shape parameters of the flowers, and uses a neural algorithm to compare the analyzed color, texture and shape parameters with the data in the flower parameter database to determine the type of flowers stored in the current storage space.

6. The unmanned intelligent flower retail cabinet system according to claim 5, characterized in that: The environmental parameter setting module has built-in environmental parameter data for different types of flowers and provides a manual modification function. After the environmental parameter setting module obtains the identified flower type from the flower recognition module, it matches the required environmental parameters and generates control instructions, and then determines the storage space position of the flower from the acquisition module, thereby sending the corresponding control instructions to the wireless communication module, and controlling the refrigeration unit corresponding to the storage space through the thermostat module to adjust the environmental parameters.

7. The unmanned intelligent flower retail cabinet system according to claim 5, characterized in that: The purchase program service unit has an online shopping mall built in. When the user connects the purchase program to the cloud management system server by scanning the code area through the mobile terminal, the online shopping mall is automatically connected to provide data on flowers in different storage spaces and feedback to the user's mobile terminal.

8. The unmanned intelligent flower retail cabinet system according to claim 7, characterized in that: The purchasing program service unit also has a built-in unlocking instruction generation module. When a user places an order for flowers from the mobile mall, the unlocking instruction generation module automatically matches the location of the storage space described by the flowers, and based on the location data, generates an unlocking instruction and sends it to the wireless communication module, thereby controlling the electromagnetic lock of the storage space at the specified location to unlock through the electromagnetic lock control module, thereby achieving the function of automatically selling flowers.

9. The unmanned intelligent retail cabinet system for flowers according to claim 4, characterized in that: The main control module includes a control center platform and a recording unit. The control center platform controls the reception and transmission of the entire system, and is used to analyze the received control instructions and convert them into drive signals suitable for the thermostat module and the electromagnetic lock control module. It is also used to convert the sent signal data and convert the signals of the temperature sensor, humidity sensor and camera into data packets that are suitable for the overall system recognition.

10. The unmanned intelligent flower retail cabinet system according to claim 9, characterized in that: The recording unit is used to record the process of controlling the environmental parameters of the overall system each time and the sales order of automatically selling flowers, and generate a report sheet, add a time stamp, and provide an online retrieval function.

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