Intelligent agricultural greenhouse environment monitoring system

Abstract

The invention relates to the technical field of agriculture, and discloses an intelligent agricultural greenhouse environment monitoring system, which comprises an intelligent sensor, monitors indoor environment parameters of an agricultural greenhouse in real time, collects environment parameter data, calculates an environment state index and a sensing induction index based on the environment parameters, and sends the environment state index and the sensing induction index to the intelligent sensor. And the display module is used for displaying the environmental parameters collected by the intelligent sensing module and the calculation results of the environmental state indexes and the sensing induction indexes, extracting the environmental state indexes and the sensing induction indexes to judge the current environmental state and the current sensor state, and sending out feedback signals. The system constructs a comprehensive environment monitoring system for environment monitoring of the greenhouse, guarantees comprehensiveness, real-time performance and accuracy of environment parameter monitoring through multi-sensor cooperative acquisition and automatic data processing, avoids hysteresis and errors of manual monitoring and decision errors caused by monitoring failure, and improves the monitoring efficiency. The labor management cost is greatly reduced, and the intelligent and refined management level of agricultural greenhouse planting is improved.

Description

Technical Field

[0001] This invention relates to the field of agricultural technology, specifically to a smart agricultural greenhouse environmental monitoring system. Background Technology

[0002] The rise of smart agricultural greenhouses is the result of a combination of policy guidance, practical needs, and technological innovation. On the one hand, traditional agriculture suffers from low production efficiency, serious resource waste, and reliance on manual experience, while also facing the practical challenges of "who will farm and how to farm," urgently requiring intelligent transformation to achieve precision production and improve land productivity and resource utilization. On the other hand, the new round of technological revolution is driving the accelerated penetration of technologies such as the Internet of Things, big data, and artificial intelligence into the agricultural sector, providing technological support for the upgrading of traditional greenhouses. Against this backdrop, the development of smart agriculture has clearly defined a roadmap for promoting the digitalization and intelligentization of agriculture, with smart agricultural greenhouses serving as an important application platform and becoming a key tool for overcoming the limitations of traditional agriculture and promoting agricultural modernization.

[0003] Sensors are prone to large data errors in complex environments such as high humidity and strong electromagnetic interference in greenhouses. At the same time, the performance of some sensors degrades rapidly after long-term use, resulting in a short lifespan and causing interruption or distortion of monitoring data, which cannot guarantee the continuity of monitoring. Summary of the Invention (a) Technical problems to be solved

[0004] To address the shortcomings of existing technologies, this invention provides a smart agricultural greenhouse environment monitoring system. Through multi-sensor collaborative data acquisition and automated data processing, it ensures the comprehensiveness, real-time nature, and accuracy of environmental parameter monitoring, avoiding the lag and errors of manual monitoring. By accurately determining whether the greenhouse environment is suitable for crop growth through environmental state indices, and combined with timely anomaly alarms, it helps growers quickly take control measures to ensure a stable crop growth environment, reduce the risk of yield reduction, and promptly detect equipment malfunctions through sensor anomaly alarms, avoiding decision-making errors caused by monitoring failures. This significantly reduces manual management costs, improves the intelligent and refined management level of agricultural greenhouse cultivation, and helps improve planting efficiency, crop yield, and quality.

[0005] (II) Technical Solution To achieve the above objectives, the present invention provides the following technical solution: a smart agricultural greenhouse environment monitoring system, comprising an intelligent sensing module, a processing and control module, an intuitive display module, and a feedback alarm module; The intelligent sensing module is used to connect to intelligent sensors to monitor the environmental parameters inside the agricultural greenhouse in real time and collect environmental parameter data. The processing control module is used to receive environmental parameters collected from the intelligent sensing module, and to calculate the environmental state index and the sensing index based on the received environmental parameters. The intuitive display module is used to display the environmental parameters collected by the intelligent sensing module, as well as the calculation results of the environmental state index and the sensing index. The feedback alarm module is used to extract environmental state index and sensor sensing index to determine the current environmental state and sensor state, and to send a feedback signal.

[0006] Preferably, the environmental parameters include multiple air temperatures, multiple air humidity levels, multiple soil moisture levels, multiple light intensities, and multiple CO2 concentrations. The multiple air temperatures and multiple air humidity levels are collected by multiple integrated temperature and humidity sensors installed inside the greenhouse. The multiple soil moisture levels are collected by multiple soil moisture sensors inserted into the soil. The multiple light intensities are collected by multiple light sensors installed inside the greenhouse. The multiple CO2 concentrations are collected by multiple infrared CO2 sensors installed inside the greenhouse.

[0007] Preferably, the intelligent sensing module has a fixed data acquisition time interval preset inside. ,Every At time intervals, the intelligent sensing module sends data acquisition signals to each sensor to collect data.

[0008] Preferably, the environmental state index The formula for expressing it is: ; In the formula, This represents a dynamic index, specifically the first one in the environment parameters. One data point, Environmental parameters include air temperature, air humidity, soil moisture, light intensity, and CO2 concentration. One parameter, Representing the The weight of each data point Representing the Sensitivity coefficient of each data point Representing the The data is the average monitoring value obtained from multiple sensors. Representing the The optimal value for each data point. Representing the The scope of each data point.

[0009] Preferably, the The calculation formula is: ; In the formula, Represents the number of sensors. Representing the The data is the monitoring data acquired through the i-th sensor. Representing the Data through The average value of monitoring data acquired by each sensor.

[0010] Preferably, the sensing index The calculation formula is: ; In the formula, Representing the The sensing index of each sensor, Representing the The standard error of each data point.

[0011] Preferably, the environmental state index is compared with a preset environmental state index threshold range. If the environmental state index exceeds the preset environmental state index threshold range, it indicates that the current environmental state is abnormal.

[0012] Preferably, the sensing index is compared with a preset sensing index threshold range. If the sensing index exceeds the preset sensing index threshold range, it indicates that the current sensor is abnormal.

[0013] Preferably, the processing control module has a built-in STM32 microcontroller, which receives environmental parameters collected from the intelligent sensing module. The intuitive display module has a built-in TFT display screen, which displays the environmental parameters collected by the intelligent sensing module, as well as the calculation results of the environmental state index and the sensing index.

[0014] Preferably, the feedback alarm module has a built-in LED indicator and a buzzer alarm device. When the current environmental state is abnormal, it issues an environmental state abnormality signal; when the current sensor is abnormal, it issues a sensor abnormality signal.

[0015] Compared with existing technologies, the present invention provides a smart agricultural greenhouse environment monitoring system, which has the following beneficial effects: This invention first uses an intelligent sensing module to monitor environmental parameters inside an agricultural greenhouse in real time and collect environmental parameter data, constructing a comprehensive environmental monitoring system for the greenhouse. Then, a processing control module with a built-in STM32 microcontroller enables real-time reception and parsing of multiple environmental parameters, avoiding data transmission delays or loss and ensuring the continuity of parameter collection. Finally, it calculates an environmental state index by integrating multiple environmental parameters, transforming scattered monitoring data into intuitive and quantifiable growth environment evaluation indicators. This provides precise decision-making basis for greenhouse cultivation, comprehensively reflecting the overall adaptability of the greenhouse environment and avoiding imbalances caused by a single parameter meeting standards but multiple parameters being out of sync. This system addresses growth issues by tracking environmental trends in real time and providing early warnings of potential risks. Simultaneously, it uses sensor readings to directly identify potential problems such as probe damage, loose wiring, or accuracy drift, quickly pinpointing abnormal individuals, reducing investigation time, and improving the overall data representativeness of the monitoring system. The built-in TFT display module allows for real-time viewing of monitoring data, providing a comprehensive understanding of the greenhouse's internal conditions. Finally, the built-in LED indicator and buzzer alarm module promptly issue alerts, providing strong technical support for users to regulate the internal environment of agricultural greenhouses and ensuring crops thrive in the most suitable growing conditions. This system achieves comprehensive, real-time, and accurate environmental parameter monitoring through multi-sensor collaborative acquisition and automated data processing. It avoids the lag and errors of manual monitoring, allowing growers to intuitively grasp the dynamics of the greenhouse environment through the display screen. By accurately judging whether the greenhouse environment is suitable for crop growth through environmental status indices, and combined with timely abnormal alarms, growers can quickly take control measures to ensure the stability of the crop growth environment and reduce the risk of yield reduction. Sensor abnormal alarms can detect equipment failures in a timely manner, avoiding decision-making errors caused by monitoring failures. At the same time, the automation of the entire process significantly reduces the cost of manual management, improves the level of intelligent and refined management of agricultural greenhouse planting, and helps to improve planting efficiency and crop yield and quality. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the system of the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Please see Figure 1The intelligent agricultural greenhouse environment monitoring system includes an intelligent sensing module, a processing and control module, an intuitive display module, and a feedback alarm module. The intelligent sensing module is used to connect to intelligent sensors to monitor the environmental parameters inside the agricultural greenhouse in real time and collect environmental parameter data; The environmental parameters include multiple air temperatures, multiple air humidity levels, multiple soil moisture levels, multiple light intensities, and multiple CO2 concentrations. The multiple air temperatures and multiple air humidity levels are collected by multiple integrated temperature and humidity sensors installed inside the greenhouse. The multiple soil moisture levels are collected by multiple soil moisture sensors inserted into the soil. The multiple light intensities are collected by multiple light sensors installed inside the greenhouse. The multiple CO2 concentrations are collected by multiple infrared CO2 sensors installed inside the greenhouse. The specific installation method for multiple integrated temperature and humidity sensors, multiple soil moisture sensors, multiple light sensors, and multiple infrared CO2 sensors is as follows: The integrated temperature and humidity sensors are evenly distributed along the length of the greenhouse, with a spacing of 8-10 meters, and the height is level with the crop canopy, avoiding contact with the greenhouse film or the ground. Additionally, one sensor is added in the middle, at both ends, and near the ventilation openings to account for temperature and humidity differences in different areas. The soil moisture sensors are arranged according to the crop planting rows, with one sensor every 2-3 rows, inserted to the main root layer of the crop, avoiding direct contact with irrigation drippers to prevent water from directly impacting the probe. The light sensors are installed in an unobstructed location in the middle of the greenhouse, at a height of [missing information]. For sensors installed 30-50 cm above the crop canopy, avoiding direct sunlight, a shade cover can be added. Additionally, one sensor should be placed in areas with varying light transmission through the greenhouse film, such as the edges and middle, to capture uneven light distribution. Infrared CO2 sensors should be installed at the same height as or slightly above the crop canopy, avoiding areas with drastic airflow fluctuations such as ventilation openings and CO2 fertilization inlets. One sensor should be placed every 10-15 meters along the greenhouse length, focusing on densely cropped areas. During installation, ensure all sensors are kept away from greenhouse pillars, film edges, and other obstructions to avoid electromagnetic interference from motors and controllers. For soil sensors, ensure the probe is in close contact with the soil, avoiding suspension or contact with stones. The intelligent sensing module has a fixed data acquisition time interval preset inside. ,Every At time intervals, the intelligent sensing module sends data acquisition signals to each sensor for data collection. This interval can be flexibly set according to the greenhouse planting scenario, crop growth needs, and monitoring accuracy requirements. The normal range is 10 seconds to 5 minutes, with 1 minute recommended by default, in order to achieve a balance between real-time performance and energy consumption control. When a preset time interval is reached... At set time intervals, the intelligent sensing module automatically triggers a data acquisition command, synchronously sending acquisition signals to various connected sensors via a preset communication protocol. Upon receiving the command, each sensor quickly responds and initiates a data detection process, subsequently feeding back its raw measured data to the intelligent sensing module in a unified format. After receiving feedback data from all sensors, the intelligent sensing module performs preliminary data verification, eliminating outliers that clearly exceed physical limits. Then, it uploads the integrated valid data to the cloud platform or local controller via the IoT transmission module, while simultaneously awaiting the next... The time interval collection command triggers an automated data collection cycle, ensuring continuous and stable monitoring of greenhouse environmental parameters; The processing and control module has a built-in STM32 microcontroller. It receives environmental parameters collected from the intelligent sensing module through the STM32 microcontroller and calculates the environmental state index and sensing index based on the received environmental parameters. The STM32 microcontroller itself has high-speed data processing capabilities and rich peripheral interfaces, which can quickly adapt to the communication protocol of the intelligent sensing module, realize the real-time reception and parsing of multiple parameters in the environmental parameters, avoid data transmission delay or loss, and ensure the continuity of parameter acquisition. At the same time, the low power consumption and strong anti-interference capabilities of the STM32 microcontroller are suitable for the complex high humidity and electromagnetic interference environment of the greenhouse. The modular design makes it easy to expand the number of sensors or add monitoring parameters in the future, adapt to the upgrade needs of greenhouses of different sizes, and provide a stable, efficient and low-cost local control core for intelligent planting. By integrating multiple environmental parameters to calculate an environmental state index, scattered monitoring data is transformed into intuitive and quantifiable growth environment evaluation indicators. This provides precise decision-making support for greenhouse cultivation, comprehensively reflects the overall suitability of the greenhouse environment, and avoids growth problems caused by imbalances in multiple parameters despite meeting individual parameter standards. It also enables real-time tracking of environmental trends and early warning of potential risks. The formula for expressing it is: ; In the formula, This represents a dynamic index, specifically the first one in the environment parameters. One data point, Environmental parameters include air temperature, air humidity, soil moisture, light intensity, and CO2 concentration. One parameter, Representing the The weight of each data point Representing the Sensitivity coefficient of each data point Representing the The data is the average monitoring value obtained from multiple sensors. Representing the The optimal value for each data point. Representing the The scope of each data point; The calculation formula is:

[0019] In the formula, Represents the number of sensors. Representing the The data is passed through the first Monitoring data acquired by each sensor, Representing the Data through The average value of monitoring data acquired by each sensor; Sensing index This system compares data from a single sensor with the average of data from multiple similar sensors to determine the sensor's status. While there may be slight local variations in environmental parameters within a greenhouse, the group average of similar sensors reflects the overall true environmental condition. This avoids misinterpreting local environmental differences as sensor malfunctions and eliminates interference from extreme environmental fluctuations on individual sensor data, resulting in more accurate status assessments. By calculating the deviation of individual sensor data from the average and comparing it to the standard error, potential issues such as probe damage, loose wiring, and accuracy drift can be directly identified, quickly pinpointing abnormal individuals, reducing troubleshooting time, and improving the overall data representativeness and sensor sensitivity index of the monitoring system. The calculation formula is: ; In the formula, Representing the The sensing index of each sensor, Representing the The standard error of each data point; The environmental state index is compared with the preset environmental state index threshold range. If the environmental state index exceeds the preset environmental state index threshold range, it indicates that the current environmental state is abnormal. The sensor index is compared with a preset sensor index threshold range. If the sensor index exceeds the preset sensor index threshold range, it indicates that the current sensor is abnormal. The intuitive display module has a built-in TFT display screen, which displays the environmental parameters collected by the intelligent sensing module, as well as the calculation results of the environmental status index and the sensing index. Growers do not need to connect to external terminals such as mobile phones or computers or rely on cloud platforms. They can quickly obtain all key data on the greenhouse site through the TFT screen, avoiding data viewing obstacles caused by network interruption or remote connection failure, and meeting the need to grasp the environmental conditions in real time. The feedback alarm module has built-in LED indicator lights and a buzzer alarm device. When the current environmental condition is abnormal, it sends an environmental condition abnormality signal; when the current sensor is abnormal, it sends a sensor abnormality signal. The LED indicator lights can use different colors to remind people. Even if the grower is busy in the greenhouse, he can quickly detect the abnormality by sound and accurately locate the alarm module by light. This solves the problem that visual or auditory warnings are easily overlooked. There is no need to rely on remote notification. When an abnormality occurs, the alarm can be triggered locally immediately. This avoids the problem of delayed warning caused by network delays and signal interruptions. It allows growers to take measures as soon as possible, ensures that the problem is resolved in a timely manner, and guarantees the stable operation of the monitoring and control system.

[0020] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A smart agricultural greenhouse environment monitoring system, characterized in that: Intelligent sensing module, processing control module, intuitive display module and feedback alarm module are included. The intelligent sensing module is used for connecting intelligent sensors, monitoring environmental parameters in the greenhouse in real time, and collecting environmental parameter data. The processing control module is used for receiving environmental parameters collected by the intelligent sensing module, and calculating environmental state index and sensing index based on the received environmental parameters. The intuitive display module is used for displaying environmental parameters collected by the intelligent sensing module and the calculation results of environmental state index and sensing index. The feedback alarm module is used for judging the current environmental state and sensor state by extracting environmental state index and sensing index, and sending feedback signals. 2.The intelligent agricultural greenhouse environment monitoring system according to claim 1, characterized in that: The environmental parameters include multiple air temperatures, multiple air humidities, multiple soil humidities, multiple light intensities and multiple CO2 concentrations. 3.The smart agricultural greenhouse environment monitoring system according to claim 2, characterized in that: The intelligent sensing module is internally preset with a fixed data collection time interval Every The intelligent sensing module sends a data collection signal to each sensor for data collection at the time interval.

4. The intelligent agricultural greenhouse environment monitoring system according to claim 2, characterized in that: The environmental state index The expression formula is: ； In the formula, represents a dynamic index, i.e. the first data in the environmental parameters, represents air temperature, air humidity, soil humidity, light intensity, CO2 concentration parameters contained in the environmental parameters, represents the weight of the first data, represents the sensitivity coefficient of the first data, represents the average monitoring value of the first data obtained through multiple sensors, represents the optimal value of the first data, represents the action range of the first data. 5.The intelligent agricultural greenhouse environment monitoring system according to claim 4, characterized in that: The The calculation formula is: ； wherein represents the number of sensors, represents the first data acquired by the first monitoring data, represents the first data acquired by the first monitoring data. 6.The intelligent agricultural greenhouse environment monitoring system according to claim 2, characterized in that: The sensing index The calculation formula is: ； In the formula, represent the first sensor sensor sensing index, represent the first data standard error. 7.The intelligent agricultural greenhouse environment monitoring system according to claim 4, characterized in that: The environmental state index is compared with a preset environmental state index threshold interval. 8.The intelligent agricultural greenhouse environment monitoring system according to claim 6, characterized in that: The sensing index is compared with a preset sensing index threshold interval. 9.The intelligent agricultural greenhouse environment monitoring system according to claim 1, characterized in that: The processing control module is built-in STM32 single-chip microcomputer. The intuitive display module is built-in TFT display screen. 10.The smart agricultural greenhouse environment monitoring system according to claim 8, characterized in that: The feedback alarm module is built-in LED indicator and buzzer alarm device.

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