Intelligent agricultural greenhouse environment quality monitoring system based on Internet of Things

Abstract

The invention discloses an intelligent agricultural greenhouse environment quality monitoring system based on the Internet of Things. The system is composed of a sensor module, a data transmission module, a data processing module, an early warning module and a remote monitoring module. The data processing module, the early warning module and the remote monitoring module run on the cloud server in a distributed architecture; carrying out trend analysis on the environmental parameters by adopting a time sequence prediction algorithm, and predicting the change of the future environmental parameters; a clustering analysis algorithm is utilized to find out a region with the maximum difference, so that the region with the abnormal environment is accurately positioned; through a mathematical model, correlation analysis and an early warning mechanism, greenhouse environment abnormity is found in time, a visual environment quality report is generated, and long-term environment quality change trend and rules are provided for users, so that the users can make more scientific agricultural production plans, and the working efficiency of the users is improved.

Description

Technical Field

[0001] The present invention relates to the field of agricultural technology, and in particular to an intelligent agricultural greenhouse environmental quality monitoring system based on the Internet of Things. Background Art

[0002] With the continuous development of science and technology, agricultural production is gradually moving towards intelligence and precision, and the concept of precision agriculture is receiving more and more attention; greenhouses, as a facility that can provide a suitable growth environment for crops, play an important role in agricultural production; and traditional agricultural monitoring methods often rely on manual sampling and laboratory analysis, which is not only inefficient, but also difficult to obtain real-time and comprehensive environmental parameters of farmland and crop growth conditions; in addition, traditional greenhouse environmental monitoring methods have many limitations, such as inaccurate and untimely monitoring data, limited monitoring range, etc., which are difficult to meet the needs of modern agricultural production for precise control of environmental quality. Summary of the invention

[0003] The purpose of the present invention is to provide a smart agricultural greenhouse environmental quality monitoring system based on the Internet of Things to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: A smart agricultural greenhouse environmental quality monitoring system based on the Internet of Things, including a sensor module, a data transmission module, a data processing module, an early warning module and a remote monitoring module; The sensor module is used to collect the environmental parameters of the greenhouse in real time, and the environmental parameters of the greenhouse include air temperature, air humidity, light intensity, carbon dioxide concentration, soil moisture and soil pH value; The data transmission module is used to transmit the environmental parameters and fault information of the greenhouse collected by the sensor module to the data processing module through the edge computing gateway device; The data processing module is used to receive and process the environmental parameters of the greenhouse, extract key data, and store the environmental parameters and key data of the greenhouse on the cloud server; The early warning module is used to generate an environmental quality assessment result and set an environmental parameter threshold of the greenhouse. When the environmental parameter of the greenhouse exceeds the set environmental parameter threshold of the greenhouse, an early warning signal is sent to the remote monitoring module or the user terminal; The remote monitoring module is used to view the environmental parameters and environmental quality assessment results of the greenhouse in real time, and to generate a visual environmental quality report based on the environmental quality assessment results.

[0005] Furthermore, the sensor module is used to collect environmental parameters of the greenhouse, and the environmental parameters of the greenhouse include air temperature, air humidity, light intensity, carbon dioxide concentration, soil moisture and soil pH value; The temperature of the air at different heights in the greenhouse is collected by a temperature sensor, wherein the different heights include the top, the middle and the bottom; The air humidity of the air around the crops is collected through humidity sensors; The light intensity in the greenhouse is collected through the light intensity sensor; The carbon dioxide concentration in the greenhouse is collected through a carbon dioxide concentration sensor; The soil moisture at different soil depths in the greenhouse is collected through soil moisture sensors; The soil pH value in the greenhouse is collected through the soil pH sensor.

[0006] It needs to be explained that the temperature sensors are distributed in different positions in the greenhouse, including the top, middle and bottom, to obtain the changes in air temperature at different heights; the humidity sensor is set near the crops to accurately detect the impact of air humidity on crop growth; the light intensity sensor is configured in a location that can fully capture light to accurately monitor changes in light intensity; the carbon dioxide concentration sensor should be placed in a location where the air is well circulated and can accurately reflect the overall carbon dioxide concentration in the greenhouse; the soil moisture sensor is deployed at multiple soil layer depths to achieve detailed monitoring of soil moisture conditions; the soil pH sensor is implanted below the surface to accurately measure the soil acidity and alkalinity level.

[0007] Furthermore, the sensor module also includes an automatic calibration function and a fault diagnosis function; The automatic calibration function is used to automatically calibrate the data collected by the sensor; The fault diagnosis function is used to detect the working state of the sensor, and when a fault is detected, the fault information is sent to the data processing module through the data transmission module.

[0008] Furthermore, the data transmission module is connected to the sensor module through the edge computing gateway device, and transmits the environmental parameters and fault information of the greenhouse collected by the sensor module to the data processing module; The sensor module and the data transmission module are electrically connected via wired or wireless means, and the output end of the sensor module is connected to the input end of the data transmission module; the data transmission module and the data processing module are connected via a communication protocol, and the output end of the data transmission module is connected to the input end of the data processing module.

[0009] It needs to be explained that the edge computing gateway device has data encryption and secure transmission functions, which can ensure the security and integrity of environmental parameters and fault information during the transmission process, and prevent data leakage and tampering; it uses a variety of communication technologies, such as ZigBee, LoRa, NB-IoT, etc., to adapt to different farmland environments and communication needs; this system uses Zigbee communication technology as the main networking method, and sensor nodes can self-organize to form a network. The data transmission is stable and reliable, with low energy consumption, and is suitable for application in large-scale environments such as greenhouses.

[0010] Further, the data processing module includes a data receiving unit, a data analyzing unit and a data storage unit; The data receiving unit is used to receive the environmental parameters of the greenhouse and the fault information of the sensor transmitted by the data transmission module; The data analysis unit extracts the environmental parameters of the greenhouse, and obtains the future trend of the environmental parameters of the greenhouse through a time series prediction algorithm; extracts the environmental parameters of different areas in the greenhouse, and obtains the area with the greatest difference through a cluster analysis algorithm; extracts the crop growth parameters in the area with the greatest difference, and associates the future trend of the environmental parameters of the greenhouse with the crop growth parameters through the establishment of a mathematical model to extract key data; The data storage unit is used to store the environmental parameters and key data of the greenhouse on the cloud server in real time.

[0011] It needs to be explained that the data processing module applies a time series prediction algorithm to perform trend assessment on past data in order to predict future changes in environmental indicators; uses a cluster analysis algorithm to classify environmental data from different regions to identify areas with large environmental differences; and establishes mathematical models and algorithms to conduct correlation analysis on environmental parameters and crop growth parameters to extract key data, such as crop growth trends, pest and disease warnings, irrigation and fertilization recommendations, etc.

[0012] Further, the warning module includes an evaluation unit, a threshold setting unit and a warning signal sending unit; The evaluation unit extracts key data of the greenhouse stored in real time on the cloud server, evaluates the environmental quality of the greenhouse through a preset quality evaluation template, generates an environmental quality evaluation result, and stores the environmental quality evaluation result on the cloud server; The threshold setting unit is used to set the environmental parameter threshold of the greenhouse; The early warning signal sending unit extracts the environmental parameters of the greenhouse stored in real time on the cloud server, and sends an early warning signal to the terminal when the environmental parameters of the greenhouse exceed a set environmental parameter threshold of the greenhouse.

[0013] It should be explained that users can set the thresholds of environmental parameters according to the growth needs of different crops and the actual conditions of the greenhouse; when the environmental parameters exceed the set thresholds, the system can send early warning signals to users via text messages, emails, application push, etc., to remind users to take corresponding measures in time. For example, when the temperature is too high, the early warning system will notify farmers to turn on ventilation equipment in time; when the soil moisture is lower than the set value, the irrigation system will be automatically started.

[0014] Further, the remote monitoring module includes a display unit and a monitoring unit; The monitoring unit retrieves the environmental parameters of the greenhouse stored in real time by the cloud server, and displays the environmental parameters of the greenhouse on the user terminal according to a preset environmental parameter display template; The display unit extracts the environmental quality assessment results stored in real time in the cloud server, and displays the environmental quality assessment results on the user terminal according to a preset graphical display template and a report template.

[0015] It needs to be explained that the remote monitoring module will display the evaluation results in the form of intuitive charts and reports on the user terminal based on the evaluation results stored in the cloud platform; users can remotely view the environmental parameters and evaluation results of the greenhouse in real time through terminal devices such as mobile phone APP or computer web pages.

[0016] Furthermore, the data processing module, early warning module and remote monitoring module run on a cloud server in a distributed architecture.

[0017] It needs to be explained that by distributing and deploying the data processing module, early warning module and remote monitoring module on the cloud server, it has the characteristics of elastic expansion, high availability, cost-effectiveness and rapid deployment; it can flexibly adjust computing resources such as CPU, memory, storage, etc. according to business needs, to achieve rapid expansion or reduction in capacity to meet the dynamic changes of the business; at the same time, the use of redundant architecture and failover mechanism greatly reduces the risk of server downtime, ensures the continuous and stable operation of the business, and does not require large upfront hardware investment. Users only need to pay on demand, which effectively reduces operating costs; in addition, the server creation and configuration can be completed in a short time, speeding up the launch of the business.

[0018] Furthermore, it also includes an environmental control equipment control module for controlling the environmental parameters of the greenhouse; The environmental control equipment control module is connected to the data processing module and the early warning module, extracts the key data of the data processing module and the early warning signal of the early warning module, and generates the environmental control device control instructions according to the preset control scheme and environmental parameter data; The environmental control equipment control module includes an equipment control interface, which is communicatively connected with the environmental control device.

[0019] It needs to be explained that the environmental control equipment control module controls the operation of environmental adjustment devices such as ventilation, shading, irrigation, and light supplement in the greenhouse automatically or manually based on the environmental parameters and early warning signals of the greenhouse, aiming to optimize the environmental conditions of the greenhouse.

[0020] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention provides an intelligent agricultural greenhouse environmental quality monitoring system based on the Internet of Things, the system consists of five parts: a sensor module, a data transmission module, a data processing module, an early warning module, and a remote monitoring module; the data processing module, the early warning module and the remote monitoring module run on a cloud server in a distributed architecture; a time series prediction algorithm is used to perform trend analysis on environmental parameters and predict future changes in environmental parameters; a cluster analysis algorithm is used to find out the areas with the greatest differences, thereby achieving precise positioning of environmental abnormality areas; through mathematical models, correlation analysis and early warning mechanisms, greenhouse environmental abnormalities are discovered in a timely manner, and a visual environmental quality report is generated to provide users with long-term environmental quality change trends and laws, so that users can formulate more scientific agricultural production plans, thereby improving user work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0022] Figure 1 is a schematic diagram of a module of an embodiment of the present invention; Figure 2 It is a schematic diagram of the architecture of an embodiment of the present invention. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 are within the scope of protection of the present invention.

[0024] See also Figure 1-Figure 2 , in the first embodiment: a smart agricultural greenhouse environmental quality monitoring system based on the Internet of Things, including a sensor module, a data transmission module, a data processing module, an early warning module and a remote monitoring module; The sensor module is used to collect the environmental parameters of the greenhouse in real time. The environmental parameters of the greenhouse include air temperature, air humidity, light intensity, carbon dioxide concentration, soil moisture and soil pH value; The data transmission module is used to transmit the environmental parameters and fault information of the greenhouse collected by the sensor module to the data processing module through the edge computing gateway device; A data processing module is used to receive and process the environmental parameters of the greenhouse, extract key data, and store the environmental parameters and key data of the greenhouse on a cloud server; An early warning module is used to generate an environmental quality assessment result and set an environmental parameter threshold of the greenhouse. When the environmental parameter of the greenhouse exceeds the set environmental parameter threshold of the greenhouse, an early warning signal is sent to the remote monitoring module or the user terminal; The remote monitoring module is used to view the environmental parameters and environmental quality assessment results of the greenhouse in real time, and generate a visual environmental quality report based on the environmental quality assessment results.

[0025] Preferably, the sensor module is used to collect environmental parameters of the greenhouse, and the environmental parameters of the greenhouse include air temperature, air humidity, light intensity, carbon dioxide concentration, soil moisture and soil pH value; The temperature sensor is used to collect the air temperature at different heights in the greenhouse, including the top, middle and bottom. The air humidity of the air around the crops is collected through humidity sensors; The light intensity in the greenhouse is collected through the light intensity sensor; The carbon dioxide concentration in the greenhouse is collected through a carbon dioxide concentration sensor; The soil moisture at different soil depths in the greenhouse is collected through soil moisture sensors; The soil pH value in the greenhouse is collected through the soil pH sensor.

[0026] Preferably, the sensor module also includes an automatic calibration function and a fault diagnosis function; Automatic calibration function, used to automatically calibrate the data collected by the sensor; The fault diagnosis function is used to detect the working status of the sensor. When a fault is detected, the fault information is sent to the data processing module through the data transmission module.

[0027] Preferably, the data transmission module is connected to the sensor module through an edge computing gateway device, and transmits the environmental parameters and fault information of the greenhouse collected by the sensor module to the data processing module; The sensor module and the data transmission module are electrically connected via wired or wireless means, and the output end of the sensor module is connected to the input end of the data transmission module; the data transmission module and the data processing module are connected via a communication protocol, and the output end of the data transmission module is connected to the input end of the data processing module.

[0028] Preferably, the data processing module includes a data receiving unit, a data analyzing unit and a data storage unit; A data receiving unit, used for receiving the environmental parameters of the greenhouse and the fault information of the sensor transmitted by the data transmission module; The data analysis unit extracts the environmental parameters of the greenhouse and obtains the future trend of the environmental parameters of the greenhouse through the time series prediction algorithm; extracts the environmental parameters of different areas in the greenhouse and obtains the area with the greatest difference through the cluster analysis algorithm; extracts the crop growth parameters in the area with the greatest difference and associates the future trend of the environmental parameters of the greenhouse with the crop growth parameters through the establishment of a mathematical model to extract key data; The data storage unit is used to store the environmental parameters and key data of the greenhouse on the cloud server in real time.

[0029] Preferably, the early warning module includes an evaluation unit, a threshold setting unit and an early warning signal sending unit; An evaluation unit extracts key data of the greenhouse stored in real time on the cloud server, evaluates the environmental quality of the greenhouse through a preset quality evaluation template, generates an environmental quality evaluation result, and stores the environmental quality evaluation result on the cloud server; A threshold setting unit, used to set the environmental parameter threshold of the greenhouse; The early warning signal sending unit extracts the environmental parameters of the greenhouse stored in real time on the cloud server, and sends an early warning signal to the terminal when the environmental parameters of the greenhouse exceed the set environmental parameter threshold of the greenhouse.

[0030] Preferably, the remote monitoring module includes a display unit and a monitoring unit; The monitoring unit retrieves the environmental parameters of the greenhouse stored in real time on the cloud server, and displays the environmental parameters of the greenhouse on the user terminal according to a preset environmental parameter display template; The display unit extracts the environmental quality assessment results stored in real time in the cloud server, and displays the environmental quality assessment results on the user terminal according to the preset graphical display template and report template.

[0031] Preferably, the data processing module, the early warning module and the remote monitoring module run on a cloud server in a distributed architecture.

[0032] Preferably, it also includes an environmental control equipment control module for controlling environmental parameters of the greenhouse; The environmental control equipment control module is connected to the data processing module and the early warning module, extracts the key data of the data processing module and the early warning signal of the early warning module, and generates the control instructions of the environmental control device according to the preset control scheme and environmental parameter data; The environment control equipment control module includes an equipment control interface, which is communicatively connected with the environment control device.

[0033] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0034] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A smart agricultural greenhouse environmental quality monitoring system based on the Internet of Things, characterized in that: The system includes a sensor module, a data transmission module, a data processing module, an early warning module and a remote monitoring module; The sensor module is used to collect the environmental parameters of the greenhouse in real time, and the environmental parameters of the greenhouse include air temperature, air humidity, light intensity, carbon dioxide concentration, soil moisture and soil pH value; The data transmission module is used to transmit the environmental parameters and fault information of the greenhouse collected by the sensor module to the data processing module through the edge computing gateway device; The data processing module is used to receive and process the environmental parameters of the greenhouse, extract key data, and store the environmental parameters and key data of the greenhouse on the cloud server; The early warning module is used to generate an environmental quality assessment result and set an environmental parameter threshold of the greenhouse. When the environmental parameter of the greenhouse exceeds the set environmental parameter threshold of the greenhouse, an early warning signal is sent to the remote monitoring module or the user terminal; The remote monitoring module is used to view the environmental parameters and environmental quality assessment results of the greenhouse in real time, and to generate a visual environmental quality report based on the environmental quality assessment results.

2. According to the Internet of Things-based smart agricultural greenhouse environmental quality monitoring system of claim 1, it is characterized in that: The sensor module is used to collect environmental parameters of the greenhouse, and the environmental parameters of the greenhouse include air temperature, air humidity, light intensity, carbon dioxide concentration, soil moisture and soil pH value; The temperature of the air at different heights in the greenhouse is collected by a temperature sensor, wherein the different heights include the top, the middle and the bottom; The air humidity of the air around the crops is collected through humidity sensors; The light intensity in the greenhouse is collected through the light intensity sensor; The carbon dioxide concentration in the greenhouse is collected through a carbon dioxide concentration sensor; The soil moisture at different soil depths in the greenhouse is collected through soil moisture sensors; The soil pH value in the greenhouse is collected through the soil pH sensor.

3. According to the Internet of Things-based smart agricultural greenhouse environmental quality monitoring system of claim 1, it is characterized in that: The sensor module also includes automatic calibration function and fault diagnosis function; The automatic calibration function is used to automatically calibrate the data collected by the sensor; The fault diagnosis function is used to detect the working state of the sensor, and when a fault is detected, the fault information is sent to the data processing module through the data transmission module.

4. According to the Internet of Things-based smart agricultural greenhouse environmental quality monitoring system of claim 1, it is characterized in that: The data transmission module is connected to the sensor module through the edge computing gateway device, and transmits the environmental parameters and fault information of the greenhouse collected by the sensor module to the data processing module; The sensor module and the data transmission module are electrically connected via wired or wireless means, and the output end of the sensor module is connected to the input end of the data transmission module; the data transmission module and the data processing module are connected via a communication protocol, and the output end of the data transmission module is connected to the input end of the data processing module.

5. According to the Internet of Things-based smart agricultural greenhouse environmental quality monitoring system of claim 1, it is characterized in that: The data processing module includes a data receiving unit, a data analyzing unit and a data storage unit; The data receiving unit is used to receive the environmental parameters of the greenhouse and the fault information of the sensor transmitted by the data transmission module; The data analysis unit extracts the environmental parameters of the greenhouse, and obtains the future trend of the environmental parameters of the greenhouse through a time series prediction algorithm; extracts the environmental parameters of different areas in the greenhouse, and obtains the area with the greatest difference through a cluster analysis algorithm; extracts the crop growth parameters in the area with the greatest difference, and associates the future trend of the environmental parameters of the greenhouse with the crop growth parameters through the establishment of a mathematical model to extract key data; The data storage unit is used to store the environmental parameters and key data of the greenhouse on the cloud server in real time.

6. The IoT-based smart agricultural greenhouse environmental quality monitoring system according to claim 1 is characterized in that: The early warning module includes an evaluation unit, a threshold setting unit and an early warning signal sending unit; The evaluation unit extracts key data of the greenhouse stored in real time on the cloud server, evaluates the environmental quality of the greenhouse through a preset quality evaluation template, generates an environmental quality evaluation result, and stores the environmental quality evaluation result on the cloud server; The threshold setting unit is used to set the environmental parameter threshold of the greenhouse; The early warning signal sending unit extracts the environmental parameters of the greenhouse stored in real time on the cloud server, and sends an early warning signal to the terminal when the environmental parameters of the greenhouse exceed a set environmental parameter threshold of the greenhouse.

7. The smart agricultural greenhouse environmental quality monitoring system based on the Internet of Things according to claim 1 is characterized in that: The remote monitoring module includes a display unit and a monitoring unit; The monitoring unit retrieves the environmental parameters of the greenhouse stored in real time by the cloud server, and displays the environmental parameters of the greenhouse on the user terminal according to a preset environmental parameter display template; The display unit extracts the environmental quality assessment results stored in real time in the cloud server, and displays the environmental quality assessment results on the user terminal according to a preset graphical display template and a report template.

8. The IoT-based smart agricultural greenhouse environmental quality monitoring system according to claim 1 is characterized in that: The data processing module, early warning module and remote monitoring module run on the cloud server in a distributed architecture.

9. The smart agricultural greenhouse environmental quality monitoring system based on the Internet of Things according to claim 1 is characterized in that: It also includes an environmental control equipment control module for controlling the environmental parameters of the greenhouse; The environmental control equipment control module is connected to the data processing module and the early warning module, extracts the key data of the data processing module and the early warning signal of the early warning module, and generates the environmental control device control instructions according to the preset control scheme and environmental parameter data; The environmental control equipment control module includes an equipment control interface, which is communicatively connected with the environmental control device.

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