Three-dimensional green plant maintenance system and method based on real-time meteorological parameters

Abstract

The invention discloses a three-dimensional green plant maintenance system and method based on real-time meteorological parameters, the system comprises an Internet of Things data acquisition terminal, a system service analysis end and a display end, and the Internet of Things data acquisition terminal and the display end are connected with the system service analysis end; wherein the Internet of Things data acquisition terminal is used for acquiring real-time meteorological parameter information and accessing to the network through a communication protocol to realize data interaction with the system service analysis terminal, the system service analysis terminal comprises a plurality of mutually independent sub-servers, a unified communication mechanism is adopted among the plurality of sub-servers, and the display terminal adopts a React architecture. And refreshing parameter information related to the growth environment of the three-dimensional green plant in real time and generating a chart for display. According to the invention, the meteorological parameter information of the three-dimensional green plants can be collected, reasonable planting suggestions are provided, users can conveniently and timely adjust and optimize the three-dimensional green plants, healthy growth of the three-dimensional green plants is guaranteed, and the cultivation threshold and planting cost of the three-dimensional green plants in a city are reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of green plant maintenance, and in particular relates to a three-dimensional green plant maintenance system and method based on real-time meteorological parameters. Background Art

[0002] With the continuous acceleration of urbanization, the urban population has expanded rapidly, bringing many environmental problems to cities, among which air pollution is particularly serious. The World Health Organization believes that the probability of illness or even death caused by air problems will greatly increase;

[0003] The most direct and convenient way to improve air quality is to plant green plants. However, for urban families, there is not much planting area available. In addition, the traditional flowerpot greening is difficult to transport and replace due to the different shapes of flowerpots and the lack of unified standards. Currently, the problem of small planting area is often solved by planting climbing plants and other plants and attaching or paving them on various structures and other spatial structures.

[0004] However, most of the maintenance operations during the growth of three-dimensional green plants are completed manually, which can easily cause the green plants to lose their ornamental value or even die during the maintenance process. The resulting cost of replacing the green plants further increases the planting cost of indoor and outdoor greening, hindering the promotion of indoor and outdoor greening. At the same time, even for many professional green plant maintenance companies, when users encounter breeding problems, they need to go out to the user's home to observe the status of the plants, resulting in high maintenance costs. Summary of the invention

[0005] The purpose of the present invention is to overcome the defects of the prior art and provide a three-dimensional green plant maintenance system and method based on real-time meteorological parameters, which can collect meteorological parameter information of three-dimensional green plants in real time, and give reasonable planting suggestions according to the growth needs of green plants of different types and at different growth stages, so as to facilitate users to make timely adjustments and optimizations, ensure the healthy growth of green plants, and reduce the cultivation threshold and planting cost of three-dimensional green plants in cities.

[0006] The object of the present invention is achieved through the following technical solutions:

[0007] A three-dimensional green plant maintenance system based on real-time meteorological parameters, comprising an Internet of Things data acquisition terminal, a system service analysis terminal and a display terminal, wherein the Internet of Things data acquisition terminal and the display terminal are respectively connected to the system service analysis terminal;

[0008] Among them, the Internet of Things data acquisition terminal is used to obtain real-time meteorological parameter information, and access the network through a communication protocol to realize data interaction with the system service analysis terminal. The system service analysis terminal includes multiple independent sub-servers, and a unified communication mechanism is adopted between the multiple sub-servers. The display terminal adopts a React architecture to refresh parameter information related to the growth environment of three-dimensional green plants in real time and generate a chart display.

[0009] In one embodiment, the IoT data collection terminal includes a temperature sensor, a humidity sensor, a light detection device, a rainfall detection device, a wind speed and direction sensor, and an air quality monitoring device;

[0010] Through this real-time method, the temperature, humidity, light intensity and irrigation amount of the indoor and outdoor green plant environment can be adjusted in time according to the real-time meteorological parameter information obtained to meet the growth needs of the plants, while air purification and wind protection measures are carried out to protect the plants.

[0011] In one embodiment, the light detection device is a camera, and the camera takes a picture of the three-dimensional green plant once at a preset time interval, and evaluates the light conditions according to the growth changes of the three-dimensional green plant within the preset time;

[0012] Through this real-time method, that is, using camera shooting, the growth status of plants is monitored and combined with the photosynthesis efficiency to indirectly evaluate the suitability of lighting conditions to obtain whether the light intensity of the current environment meets the growth needs of plants.

[0013] The present invention also provides a three-dimensional green plant maintenance method based on real-time meteorological parameters, comprising the following steps:

[0014] Step S1, obtaining real-time meteorological parameter information of the environment in which the three-dimensional green plant is located;

[0015] Step S2: Building an Internet of Things data collection terminal and outputting the acquired real-time meteorological parameter information;

[0016] Step S3, collect knowledge related to the maintenance of three-dimensional green plants, establish a system service analysis terminal, design and complete the three-dimensional green plant architecture prototype, receive and analyze the information output by the Internet of Things data acquisition terminal through data interaction, and output the analysis results to the display terminal.

[0017] In one embodiment, in step S1, the real-time meteorological parameter information includes real-time temperature parameters, real-time humidity parameters, real-time light parameters, real-time rainfall parameters, real-time wind speed and wind direction parameters, and real-time air quality parameters;

[0018] Through this implementation, meteorological parameter information that affects plant growth is obtained in all directions, which facilitates the system service analysis end to make accurate maintenance adjustments, lowers the threshold and cost of three-dimensional green plant maintenance, is conducive to the promotion of indoor greening, and at the same time can reduce the attendance of maintenance companies and reduce the maintenance costs of outdoor greening.

[0019] In one embodiment, the real-time illumination parameters are obtained by observing the growth status of the plant with a camera and evaluating the illumination conditions in combination with the photosynthesis efficiency;

[0020] Through this implementation, due to the large environmental changes in different regions and seasons, judgments are often made based on human experience, which affects the accuracy of plant maintenance. By monitoring the growth status of the plants, the suitability of the current light can be indirectly obtained, so that accurate adjustments can be made through artificial light sources to achieve the conditions required for the growth of three-dimensional green plants, greatly reducing the threshold for green plant maintenance.

[0021] In one embodiment, in step S3, multiple independent sub-servers are established according to functional division, and each sub-server communicates with each other using a unified communication mechanism to form a system service analysis terminal;

[0022] Through this implementation mode, development is carried out around business functions so that each sub-server can operate relatively independently. The sub-servers communicate with each other using a unified communication mechanism. Development is carried out around the environmental requirements of different three-dimensional green plants, so that targeted maintenance of different types of green plants can be achieved.

[0023] In one embodiment, a plurality of the sub-servers are deployed on a plurality of server nodes for load balancing.

[0024] In one embodiment, in step S3, the data information is converted into JSON format for data transmission between the IoT data acquisition terminal, the display terminal and the system service analysis terminal. Through this embodiment, the system pages are designed and implemented to realize real-time video monitoring and real-time refresh and display of green plant growth environment information data, and generate visual Echarts charts to facilitate professional companies and customers to observe changes in plant growth environment information and to grasp the growth status of green plants in a timely manner. The JSON object is composed of a group of key-value pairs, different key-value pairs are separated by commas, the keys and values ​​are enclosed in quotation marks, separated by colons, and finally all the key-value pairs are enclosed in curly brackets.

[0025] The beneficial effects of the present invention are:

[0026] (1) It can collect meteorological parameter information of three-dimensional green plants in real time, make timely adjustments and optimizations to the growth environment required by different types of green plants, and remind users to take corresponding adjustment measures to prevent the green plants from losing their ornamental value or even dying, thereby ensuring that the green plants can grow healthily and reducing the planting threshold and planting cost of three-dimensional green plants.

[0027] (2) By monitoring the growth status of plants, the suitability of the current light can be indirectly obtained, so that the artificial light source can be accurately adjusted to achieve the conditions required for the growth of three-dimensional green plants, avoiding errors in human experience and judgment, ensuring that green plants can grow under the required appropriate light intensity, and greatly reducing the threshold for green plant maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The present invention will be described in more detail below based on embodiments and with reference to the accompanying drawings, wherein:

[0029] Figure 1 A schematic flow chart of the curing method of the present invention is shown;

[0030] In the drawings, like reference numerals are used for like parts. The drawings are not necessarily to scale. DETAILED DESCRIPTION

[0031] The present invention will be further described below in conjunction with the accompanying drawings.

[0032] Most of the maintenance operations during the growth of three-dimensional green plants are completed manually, which can easily cause the green plants to lose their ornamental value or even die during the maintenance process. The resulting cost of replacing the green plants further increases the planting cost of indoor and outdoor greening, hindering the promotion of indoor and outdoor greening.

[0033] The present invention provides a three-dimensional green plant maintenance system based on real-time meteorological parameters, comprising an Internet of Things data acquisition terminal, a system service analysis terminal and a display terminal, wherein the Internet of Things data acquisition terminal and the display terminal are respectively connected to the system service analysis terminal;

[0034] The IoT data collection terminal is used to obtain real-time meteorological parameter information, and access the network through a communication protocol to achieve data interaction with the system service analysis terminal. The system service analysis terminal includes multiple independent sub-servers, and a unified communication mechanism is used between the multiple sub-servers. The display terminal adopts a React architecture to refresh parameter information related to the growth environment of three-dimensional green plants in real time and generate a chart display;

[0035] It should be noted that by collecting meteorological parameter information of three-dimensional green plants in real time and using the green plant maintenance-related data collected by the system service analysis terminal, such as the environmental demand parameters of this type of green plants in different growth cycles, the user is intuitively displayed through the display terminal whether the current state meets the growth of the plant, or whether the user needs to adjust one or several environmental parameters, such as adding artificial light sources to increase the illumination, such as adding windshields to protect the growth of seedlings in strong winds, etc., to intuitively remind users, so that users can make timely adjustments and optimizations to the growth environment required by different types of green plants, and remind users to take corresponding adjustment measures to prevent green plants from losing their ornamental value or even dying, to ensure that green plants can grow healthily, and to reduce the planting threshold and planting costs of three-dimensional green plants;

[0036] Furthermore, the IoT data collection terminal includes a temperature sensor, a humidity sensor, a light detection device, a rainfall detection device, a wind speed and direction sensor, and an air quality monitoring device;

[0037] That is, the temperature data is detected in real time through the temperature sensor, and the temperature of the indoor or outdoor green plant environment is adjusted in time, such as adjusting the growth environment temperature of the green plants through heating, ventilation or shading;

[0038] The humidity sensor detects humidity data in real time and monitors the relative humidity in the green plant environment. When the growth conditions of the green plants are not met, the relative humidity in the green plant growth environment is adjusted by starting the humidification equipment or dehumidification equipment to meet the growth needs of the plants.

[0039] As for the light detection device, in this embodiment, a camera is used as the light detection device, and the camera takes a picture of the three-dimensional green plant once at a preset time interval, and evaluates the light conditions according to the growth changes of the three-dimensional green plant within the preset time;

[0040] It should be noted that due to the large environmental changes in different regions and seasons, judgments are often made based on human experience, which affects the accuracy of plant maintenance. Professional plant light detection equipment is expensive and has a certain threshold for use. The suitability of the current light is indirectly obtained by monitoring the growth status of the plants. The system service analysis terminal collects the normal growth change status of various three-dimensional plants in different growth cycles, and uses a camera to shoot the three-dimensional green plants planted by the user once at a preset time interval. The preset time can be set to 8 hours. By comparing the images, the three-dimensional green plant growth image captured at the current moment is compared with the image captured at the previous moment. Compare the three-dimensional green plant growth image taken at this moment or before to observe whether the degree of change is consistent with the standard growth state of the plant, and the error does not exceed the preset error threshold. Of course, in order to improve the accuracy, the shooting time interval can be shortened, such as setting the preset time to 2 hours, etc., by evaluating the lighting conditions at intervals in this way, not only does it not require user operation, it greatly reduces the difficulty and professionalism of the evaluation, but also can improve the accuracy of the detection, so that users can make accurate adjustments through artificial light sources, such as adjusting the intensity of artificial light sources and the duration of opening, etc., to achieve the conditions required for the growth of three-dimensional green plants, greatly reducing the threshold for green plant maintenance;

[0041] The real-time rainfall is detected by the rainfall observation device. The system analysis server reasonably plans the irrigation plan according to the current growth stage of the green plants and outputs it to the display terminal. That is, the user only needs to irrigate on time and in the right amount according to the planned irrigation plan, which greatly reduces the threshold for breeding.

[0042] Use wind speed and direction sensors to detect real-time wind conditions, especially for seedlings in the growth stage of outdoor green plants, to remind users to set up windbreaks in time to reduce damage to plants caused by strong winds;

[0043] The present invention also provides a three-dimensional green plant maintenance method based on real-time meteorological parameters, which is characterized by comprising the following steps:

[0044] Step S1, obtaining real-time meteorological parameter information of the environment in which the three-dimensional green plant is located;

[0045] Step S2: Building an Internet of Things data collection terminal and outputting the acquired real-time meteorological parameter information;

[0046] Step S3, collect knowledge related to the maintenance of three-dimensional green plants, establish a system service analysis terminal, design and complete the three-dimensional green plant architecture prototype, receive and analyze the information output by the Internet of Things data acquisition terminal through data interaction, and output the analysis results to the display terminal;

[0047] It should be noted that the maintenance method provided in this embodiment obtains all-round information on meteorological parameters that affect plant growth, and analyzes it according to green plant maintenance knowledge through the established system service analysis terminal to give accurate maintenance suggestions, and outputs the results to the display terminal so that users can intuitively understand the growth status of green plants and the harmful factors of the current environment to the growth of green plants, and make timely adjustments according to user suggestions to avoid the three-dimensional green plants from losing their ornamental value or even dying, thereby reducing the threshold and cost of three-dimensional green plant maintenance and facilitating the promotion of indoor greening. At the same time, for maintenance companies, most of them undertake the maintenance business of outdoor green plants in cities. In the traditional model, when customers When maintenance problems are found, that is, green plants have lost their ornamental value or are dead, they often need to be replanted or frequently visited to ensure the health of the green plants. Replacing green plants can easily affect the beauty of the city interface and lead to high maintenance costs. Frequent visits to the field lead to excessively high labor costs, which also increases maintenance costs. In the maintenance method provided in this embodiment, the maintenance company can intervene in time to ensure the health of the green plants based on the results fed back to the display terminal, and can solve maintenance problems through one visit or remote guidance, without the need for multiple visits to the field as in the traditional model, thereby reducing the maintenance cost of outdoor greening.

[0048] Specifically, in step S1, the real-time meteorological parameter information includes real-time temperature parameters, real-time humidity parameters, real-time light parameters, real-time rainfall parameters, real-time wind speed and wind direction parameters, and real-time air quality parameters;

[0049] That is, it can obtain all-round information on meteorological parameters that affect plant growth, so that the system service analysis end can make accurate maintenance adjustments, lower the threshold and cost of three-dimensional green plant maintenance, and be beneficial to the promotion of indoor greening. At the same time, it can reduce the attendance of maintenance companies and reduce the maintenance cost of outdoor greening.

[0050] Specifically, the temperature data can be detected in real time through the temperature sensor, and the temperature of the indoor or outdoor green plant environment can be adjusted in time;

[0051] The humidity sensor detects humidity data in real time and monitors the relative humidity in the green plant environment;

[0052] The camera observes the growth state of the plant and evaluates the lighting conditions in combination with the photosynthesis efficiency to obtain the real-time lighting parameters. That is, in this embodiment, a camera is used as a lighting detection device. The camera takes a photo of the three-dimensional green plant at a preset time interval, and the lighting conditions are evaluated according to the growth changes of the three-dimensional green plant within the preset time.

[0053] It should be noted that due to the large environmental changes in different regions and seasons, judgments are often made based on human experience, which affects the accuracy of plant maintenance. Professional plant light detection equipment is expensive and has a certain threshold for use. The suitability of the current light is indirectly obtained by monitoring the growth status of the plants. The system service analysis terminal collects the normal growth change status of various three-dimensional plants in different growth cycles, and uses a camera to shoot the three-dimensional green plants planted by the user once at a preset time interval. The preset time can be set to 8 hours. By comparing the images, the three-dimensional green plant growth image captured at the current moment is compared with the image captured at the previous moment. Compare the three-dimensional green plant growth image taken at this moment or before to observe whether the degree of change is consistent with the standard growth state of the plant, and the error does not exceed the preset error threshold. Of course, in order to improve the accuracy, the shooting time interval can be shortened, such as setting the preset time to 2 hours, etc., by evaluating the lighting conditions at intervals in this way, not only does it not require user operation, it greatly reduces the difficulty and professionalism of the evaluation, but also can improve the accuracy of the detection, so that users can make accurate adjustments through artificial light sources, such as adjusting the intensity of artificial light sources and the duration of opening, etc., to achieve the conditions required for the growth of three-dimensional green plants, greatly reducing the threshold for green plant maintenance;

[0054] The real-time rainfall is detected by the rainfall observation device, and the system analysis server reasonably plans the irrigation plan according to the current growth stage of the green plants and outputs it to the display terminal;

[0055] Use wind speed and direction sensors to detect real-time wind conditions to reduce damage to plants caused by strong winds;

[0056] That is, through the Internet of Things technology, the meteorological parameter data obtained above is built into an Internet of Things data collection terminal through appropriate components and connected to the network to set the data transmission format to achieve normal data interaction with the system service analysis terminal;

[0057] Further, in step S3, multiple independent sub-servers are established according to functional division, and each sub-server communicates with each other using a unified communication mechanism to form a system service analysis terminal, that is, the development is carried out around the business function, so that each sub-server can operate relatively independently, and the sub-servers communicate with each other using a unified communication mechanism, and are developed around the environmental requirements of different three-dimensional green plants to achieve targeted maintenance of different types of green plants. At the same time, multiple sub-servers are deployed on multiple server nodes for load balancing;

[0058] Specifically, in step S3, the data information is converted into JSON format for data transmission between the IoT data collection terminal, the display terminal and the system service analysis terminal, and each system page is designed and implemented to realize real-time video monitoring and real-time refresh display of green plant growth environment information data, and generate a visual Echarts chart to facilitate professional companies and customers to observe changes in plant growth environment information and grasp the growth of green plants in a timely manner. The JSON object is composed of a group of key-value pairs, and different key-value pairs are separated by commas. Both the key and the value are enclosed in quotation marks, separated by colons, and finally all the key-value pairs are enclosed in curly brackets;

[0059] In the description of the present invention, it is necessary to understand that the terms "upper", "lower", "bottom", "top", "front", "back", "inside", "outside", "left", "right", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0060] Although the present invention is described herein with reference to specific embodiments, it should be understood that these embodiments are merely examples of the principles and applications of the present invention. It should therefore be understood that many modifications may be made to the exemplary embodiments and that other arrangements may be devised without departing from the spirit and scope of the present invention as defined by the appended claims. It should be understood that the various dependent claims and features described herein may be combined in a manner different from that described in the original claims. It should also be understood that features described in conjunction with individual embodiments may be used in other described embodiments.

Claims

1. A three-dimensional green plant maintenance system based on real-time meteorological parameters, characterized in that: It includes an Internet of Things data collection terminal, a system service analysis terminal and a display terminal, wherein the Internet of Things data collection terminal and the display terminal are respectively connected to the system service analysis terminal; Among them, the Internet of Things data acquisition terminal is used to obtain real-time meteorological parameter information, and access the network through a communication protocol to realize data interaction with the system service analysis terminal. The system service analysis terminal includes multiple independent sub-servers, and a unified communication mechanism is adopted between the multiple sub-servers. The display terminal adopts a React architecture to refresh parameter information related to the growth environment of three-dimensional green plants in real time and generate a chart display.

2. A three-dimensional green plant maintenance system based on real-time meteorological parameters according to claim 1, characterized in that: The Internet of Things data acquisition terminal includes a temperature sensor, a humidity sensor, a light detection device, a rainfall detection device, a wind speed and direction sensor, and air quality monitoring equipment.

3. A three-dimensional green plant maintenance system and method based on real-time meteorological parameters according to claim 2, characterized in that: The light detection device is a camera, which takes a picture of the three-dimensional green plant once at a preset time interval, and evaluates the light conditions according to the growth changes of the three-dimensional green plant within the preset time.

4. A three-dimensional green plant maintenance method based on real-time meteorological parameters, characterized in that: The steps include: Step S1, obtaining real-time meteorological parameter information of the environment in which the three-dimensional green plant is located; Step S2: Building an Internet of Things data collection terminal and outputting the acquired real-time meteorological parameter information; Step S3, collect knowledge related to the maintenance of three-dimensional green plants, establish a system service analysis terminal, design and complete the three-dimensional green plant architecture prototype, receive and analyze the information output by the Internet of Things data acquisition terminal through data interaction, and output the analysis results to the display terminal.

5. A three-dimensional green plant maintenance method based on real-time meteorological parameters according to claim 4, characterized in that: In step S1 , the real-time meteorological parameter information includes real-time temperature parameters, real-time humidity parameters, real-time light parameters, real-time rainfall parameters, real-time wind speed and wind direction parameters, and real-time air quality parameters.

6. A three-dimensional green plant maintenance method based on real-time meteorological parameters according to claim 5, characterized in that: The growth status of the plant is observed by a camera and the light conditions are evaluated in conjunction with the photosynthesis efficiency to obtain the real-time light parameters.

7. A three-dimensional green plant maintenance method based on real-time meteorological parameters according to claim 4, characterized in that: In step S3, multiple independent sub-servers are established according to functional division, and each sub-server communicates with each other using a unified communication mechanism to form a system service analysis terminal.

8. A three-dimensional green plant maintenance method based on real-time meteorological parameters according to claim 7, characterized in that: The multiple sub-servers are deployed on multiple server nodes for load balancing.

9. The three-dimensional green plant maintenance method based on real-time meteorological parameters according to claim 4, characterized in that: In step S3, the data information is converted into JSON format for data transmission between the IoT data collection terminal, the display terminal and the system service analysis terminal.

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