Smart cloud planting system

Abstract

The invention, which relates to the technical field of agricultural planting, discloses a smart cloud planting system comprising a sensing module, a transmission module, a storage module, an analysis module and an application module. The sensing module comprises a soil humidity sensor, a CO2 concentration sensor, an air temperature and humidity sensor and an illumination intensity sensor, and after the sensing module collects measured analog signals, the analog signals are converted into data; the transmission module receives the data transmitted by the sensing module and then transmits the data to the storage module; the storage module is a cloud server; the analysis module comprises an artificial intelligence large model, and the artificial intelligence large model analyzes the data in the cloud server, analyzes the land condition, and gives a suggestion for improving the land condition; the application module comprises application software and a control device. The method has the effects of simple operation and low cost.

Description

Technical Field

[0001] The present invention relates to the field of agricultural planting technology, and in particular to a smart cloud planting system. Background Art

[0002] Smart agriculture improves agricultural production efficiency, quality and profits by collecting and analyzing data. Smart agriculture plays an important role in improving the agricultural ecological environment.

[0003] However, the technical level of some smart agriculture-related products is not mature enough, and there are some technical defects or incompatibilities, which lead to low stability, safety and reliability of the products, causing inconvenience or losses to users. In addition, the price of smart agriculture-related products is relatively high, requiring a large investment cost, and most of the target customers are large-scale growers, resulting in low product penetration and coverage, which brings economic burden to users. At the same time, the use and management of smart agriculture systems requires high professional knowledge and skills, resulting in low product use effect and management efficiency, which brings difficulties to users in operation and management. Summary of the invention

[0004] The purpose of the present invention is to solve the above problems and provide a smart cloud planting system.

[0005] In order to achieve the above object, the technical solution of the present invention is as follows:

[0006] The present invention provides a smart cloud planting system, including a perception module, a transmission module, a storage module, an analysis module and an application module;

[0007] The sensing module includes a soil moisture sensor, a CO2 concentration sensor, an air temperature and humidity sensor, and a light intensity sensor. After the sensing module collects the measured analog signal, it converts the analog signal into data;

[0008] The transmission module receives the data transmitted by the sensing module and transmits it to the storage module;

[0009] The storage module is a cloud server;

[0010] The analysis module includes an artificial intelligence big model, which analyzes the data in the cloud server, analyzes the land conditions, and gives suggestions for improving the land conditions;

[0011] The application module includes application software and a control device.

[0012] The present invention is further configured as follows: the working steps of the transmission module are:

[0013] Step S1, port initialization;

[0014] Step S2, the serial port receives data and determines whether the received data is normal;

[0015] Step S3, decoding the received data;

[0016] Step S4: Initialize parameters of the decoded data, and transmit the parameter-initialized data to the cloud.

[0017] The present invention is further configured as follows: the control device includes a water pump, a CO2 generator and a tarpaulin.

[0018] Compared with the existing technology, the beneficial effects of this solution are: the present invention can collect data such as carbon dioxide, light intensity, air temperature and humidity, soil humidity, etc. at the same time, remind plants of water shortage and abnormal weather, and can remotely view sensor data and control devices through WeChat applet. The artificial intelligence large model analyzes the time, location, sensor data, etc. and provides scientific and professional planting suggestions. It has the advantages of simple operation and low cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a framework diagram of the smart cloud planting system in an embodiment of the present invention;

[0020] Figure 2 It is a data transmission flow chart in an embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solution of the present invention will be further described in detail below in conjunction with the embodiments of the present invention and the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0022] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present invention can be combined with each other. The present invention will be described in detail below in conjunction with the embodiments.

[0023] Example:

[0024] Smart cloud planting system, such as Figure 1 , Figure 2 As shown, the specific data of the land is collected through the soil moisture sensor, CO2 concentration sensor, air temperature and humidity sensor and light intensity sensor, and the collected data is transmitted to the storage module through the transmission module;

[0025] After the port is initialized, the transmission module receives data through the serial port and determines whether the received data is normal. If the received data is abnormal, it receives the data again. After receiving the normal data, it decodes the data, initializes the parameters of the decoded data, and transmits the data after the initialization parameters to the cloud.

[0026] After receiving the data in the cloud, the AI ​​model will analyze the data and assess the current land conditions. The model will identify patterns and trends in the data and predict plant growth conditions. Based on the analysis results, the model will provide customized improvement suggestions, such as adjusting irrigation plans, optimizing CO2 supply and light management;

[0027] Users can check the land conditions through the software, and automatically turn on or off the water pump based on the data from the soil moisture sensor to maintain appropriate soil moisture. Based on the data from the CO2 concentration sensor, the output of the CO2 generator is automatically adjusted to maintain the CO2 concentration required for plant growth. Based on the data from the light intensity sensor and the light requirements of the plants, the tarpaulin is automatically unfolded or folded to adjust the light intensity received by the plants.

[0028] The above specific embodiments are merely explanations of the present invention and are not limitations of the present invention. After reading this specification, those skilled in the art may make modifications to the embodiments without any creative contribution as needed. However, such modifications are protected by the patent law as long as they are within the scope of the claims of the present invention.

Claims

1. The smart cloud planting system is characterized by: It includes perception module, transmission module, storage module, analysis module and application module; The sensing module includes a soil moisture sensor, a CO2 concentration sensor, an air temperature and humidity sensor, and a light intensity sensor. After the sensing module collects the measured analog signal, it converts the analog signal into data; The transmission module receives the data transmitted by the sensing module and transmits it to the storage module; The storage module is a cloud server; The analysis module includes an artificial intelligence big model, which analyzes the data in the cloud server, analyzes the land conditions, and gives suggestions for improving the land conditions; The application module includes application software and a control device.

2. The smart cloud planting system according to claim 1, characterized in that: The working steps of the transmission module are: Step S1, port initialization; Step S2, the serial port receives data and determines whether the received data is normal; Step S3, decoding the received data; Step S4: Initialize parameters of the decoded data, and transmit the parameter-initialized data to the cloud.

3. The smart cloud planting system according to claim 1, characterized in that: The control device includes a water pump, a CO2 generator and a tarpaulin.

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