Temperature control device for intelligent agriculture and control platform thereof

Abstract

The invention relates to the technical field of agriculture, and discloses a temperature control device for intelligent agriculture, which is characterized by comprising a temperature sensor, a control unit, an execution mechanism, a communication module and an artificial intelligence processor. The temperature control device for intelligent agriculture and the control platform thereof have numerous beneficial effects. In the aspect of a temperature control device, all components work cooperatively from accurate detection and low power consumption of a temperature sensor, accurate signal processing, intelligent algorithm and user-friendly interface of a control unit, multifunction and adaptation to different scales of an execution mechanism, and stable and reliable and safe data transmission of a communication module; accurate, efficient and reliable temperature control is provided for the agricultural production environment.

Description

Technical Field

[0001] The present invention relates to the field of agricultural technology, and in particular to a temperature control device for smart agriculture and a control platform thereof.

[0002] With the growth of the global population and the increasing demand for agricultural products, improving agricultural production efficiency and quality has become a key goal of agricultural development. As the development direction of modern agriculture, smart agriculture integrates a variety of high-tech technologies such as information technology, sensor technology, and automatic control technology, aiming to achieve precise and intelligent management of agricultural production. Among the many environmental factors that affect crop growth, temperature is one of the most critical factors. Different crops have specific requirements for temperature at different growth stages. Suitable temperature can promote the growth and development of crops, improve yield and quality, while unsuitable temperature may lead to stunted crop growth, breeding of pests and diseases, and even reduced or even no yield. Therefore, in smart agriculture, it is of great significance to accurately control the temperature of the agricultural production environment.

[0003] Limitations of traditional agricultural temperature control technology In traditional agricultural production, temperature control mainly relies on farmers’ experience and some simple equipment. For example, the temperature is adjusted by manually adjusting the size of the vents, adding or removing covers, etc. This method has many limitations: Low accuracy Farmers cannot accurately control the temperature based on experience alone, and cannot meet the temperature accuracy requirements of modern crops. For example, the growth of some high-value-added crops, such as flowers and specialty vegetables, is very sensitive to temperature fluctuations, and traditional methods are difficult to control the temperature within an appropriate range.

[0004] Lack of intelligence Traditional temperature control methods cannot automatically adjust temperature control strategies according to crop growth stages and environmental changes. Crops have different temperature requirements at different growth stages, and the ambient temperature will change with factors such as seasons, weather, day and night. Traditional methods cannot adapt to these changes in time and perform intelligent regulation.

[0005] Energy waste The lack of precise temperature control may lead to over-adjustment of temperature, such as over-heating or over-cooling, resulting in energy waste. In large-scale agricultural production, this energy waste not only increases production costs, but also does not meet the requirements of sustainable development.

[0006] Unable to monitor and manage remotely Traditional temperature control methods require farmers to operate on site, making it difficult to achieve remote monitoring and management. In modern agricultural production, farms are often large in scale, and it is impossible for farmers to monitor and adjust the temperature in every production area at all times, which limits the efficiency of agricultural production and the convenience of management.

[0007] Although there have been some studies and applications of smart agricultural temperature control technologies, there are still some shortcomings: Inadequate sensor performance Some temperature sensors have a limited detection range and cannot cover the various temperature conditions in the agricultural production environment from low temperatures in winter to high temperatures in summer. Or they have a slow response speed and cannot promptly reflect slight changes in ambient temperature, thus affecting the timeliness and accuracy of temperature control.

[0008] Imperfect control algorithm The control algorithms of some existing temperature control devices do not fully consider multiple factors such as crop growth stage, ambient temperature change rate, etc. For example, during the critical period of crop growth, a small change in temperature may have a significant impact on the crop, but existing algorithms may not be able to accurately adjust the temperature control strategy to adapt to this demand.

[0009] Actuator with single function The actuator functions of some temperature control devices are limited. For example, the heating efficiency of the heater is low or lacks constant temperature control function, the wind speed and wind direction of the fan cannot be adjusted, and the cooling device cannot accurately adjust the cooling capacity, etc., which cannot meet the diverse temperature control needs of agricultural production environments of different scales.

[0010] Limited communication and data processing capabilities In terms of data transmission, the communication modules of some temperature control devices have poor anti-interference capabilities and are easily affected by external electromagnetic interference, resulting in inaccurate or untimely data transmission. In addition, some existing control platforms lack effective use of big data, cannot fully combine external data such as agricultural meteorological data to optimize temperature control strategies, and do not have sufficient artificial intelligence capabilities to achieve adaptive learning and personalized temperature control. Summary of the invention

[0011] 1. Technical issues to be resolved In view of the deficiencies in the prior art, the present invention provides a temperature control device for smart agriculture and a control platform thereof to solve the above problems.

[0012] (II) Technical solution To achieve the above object, the present invention provides the following technical solution: a temperature control device for smart agriculture, characterized in that it includes: Temperature sensor, which is specially designed to detect the real-time temperature of agricultural production environment. Its detection range can cover various temperature conditions that may occur in agricultural production environment, from low temperature in winter to high temperature in summer, and has the characteristics of fast response, which can timely and accurately reflect the slight changes of ambient temperature; A control unit, electrically connected to the temperature sensor, for receiving data from the temperature sensor and generating a control signal according to a preset temperature range. A high-precision analog-to-digital conversion circuit is provided inside the control unit to ensure that the analog signal from the temperature sensor can be accurately processed and converted into a digital signal for subsequent calculation and processing; An actuator, electrically connected to the control unit, adjusts the temperature in the agricultural production environment according to a control signal of the control unit, and the actuator has sufficient power output capacity to meet the temperature regulation requirements of agricultural production environments of different scales; The communication module is used to transmit the data of the control unit to the remote control platform. The communication module adopts a stable and reliable communication protocol to ensure the accuracy and timeliness of data transmission in a complex agricultural production environment, and has a certain anti-interference ability to prevent external electromagnetic interference from affecting data transmission; An artificial intelligence processor is integrated in the control unit and is used to implement a machine learning algorithm to automatically adjust the temperature control strategy and optimize the temperature regulation process according to historical data and environmental changes. The artificial intelligence processor has powerful computing capabilities and can quickly process a large amount of temperature data and related environmental data to achieve efficient temperature control strategy optimization; wherein the control unit includes a temperature regulation algorithm to adjust the temperature control strategy according to the difference between the ambient temperature and a preset temperature range. The temperature regulation algorithm adopts an advanced mathematical model and comprehensively considers multiple factors such as the rate of change of ambient temperature and the sensitivity of crops to temperature at different stages of growth to achieve precise temperature regulation.

[0013] As a preferred technical solution of the present invention, the temperature sensor is a digital temperature sensor, which can provide high-precision temperature data with an accuracy of ±0.1°C. Such high-precision temperature data can provide an accurate basis for subsequent temperature control, and the digital temperature sensor adopts a low-power design to reduce the energy consumption of the entire temperature control device.

[0014] As a preferred technical solution of the present invention, the actuator includes but is not limited to a heater, a fan or other cooling device. The heater adopts a high-efficiency heating element, which can quickly increase the ambient temperature and has a constant temperature control function to prevent excessive temperature from causing damage to crops; the fan has adjustable wind speed and wind direction functions, and can evenly distribute cold air in the agricultural production environment as needed; other cooling devices (such as air conditioners, etc.) can accurately adjust the cooling capacity according to the ambient temperature and crop needs.

[0015] As a preferred technical solution of the present invention, the control unit further includes a user interface for receiving a preset temperature range input by a user and displaying the current ambient temperature. The user interface adopts an intuitive graphical interface design to facilitate user operation. Even agricultural producers without professional knowledge can easily set the preset temperature range, and the user interface can display historical temperature data curves so that users can better understand the changing trend of ambient temperature.

[0016] As a preferred technical solution of the present invention, a data receiving module is used to receive temperature data and control status from the temperature control device. The data receiving module has a large-capacity data cache function to prevent data loss during the peak period of data transmission, and can perform preliminary verification and sorting of the received data; A user interface for displaying received data and allowing the user to set or adjust a preset temperature range. The user interface provides multiple display modes, such as list mode, chart mode, etc., to facilitate users to view different types of data. The user interface also supports multi-language operation to meet the needs of users in different regions. The control signal sending module is used to send control signals to the temperature control device to adjust the temperature of the agricultural production environment. The control signal sending module adopts an encrypted communication method to ensure the security of control signal transmission and prevent the control signal from being maliciously tampered with; The artificial intelligence module is used to analyze the received data, optimize the control strategy through machine learning algorithms, and automatically adjust the temperature setting to maximize crop production efficiency. The artificial intelligence module can interact with the agricultural big data platform in the cloud to obtain more reference data to optimize the control strategy, and can adjust the temperature control strategy according to the growth model of different crops. The control platform is connected to the communication module of the temperature control device through a network.

[0017] As a preferred technical solution of the present invention, the network includes a wireless network, a wired network or a combination thereof. The wireless network adopts advanced wireless communication technology, such as 5G technology, to achieve high-speed and stable data transmission, and the wired network adopts high-speed and stable transmission media such as optical fiber. When the wireless network signal is poor, it can be used as a backup network to ensure uninterrupted communication between the control platform and the temperature control device.

[0018] As a preferred technical solution of the present invention, the artificial intelligence processor is configured with an adaptive learning function, which can continuously optimize the temperature control strategy based on continuous monitoring data to adapt to different environmental conditions and crop requirements. The adaptive learning function adopts a reinforcement learning algorithm to continuously adjust the temperature control strategy in the optimal direction through continuous trial and error and reward mechanism, and can automatically switch different learning modes according to different growth stages of crops to improve learning efficiency.

[0019] Compared with the prior art, the present invention provides a temperature control device for smart agriculture and a control platform thereof, which have the following beneficial effects: The temperature control device and its control platform for smart agriculture have many beneficial effects. In terms of the temperature control device, from the precise detection and low power consumption of the temperature sensor, to the precise signal processing, intelligent algorithm and user-friendly interface of the control unit, to the multi-function and adaptability of the actuator to different scales, and the stable and reliable communication module and secure data transmission, the various components work together to provide accurate, efficient and reliable temperature control for the agricultural production environment. In terms of the control platform, the data receiving module prevents data loss and verifies and organizes data, the multi-mode display and historical data of the user interface assist in decision-making, the secure communication guarantee of the control sending module, and the adaptive learning, big data-assisted decision-making and personalized temperature control functions of the artificial intelligence module further enhance the intelligent level of temperature control. These beneficial effects combined can not only improve the temperature control accuracy of the crop growth environment and reduce energy consumption, but also can perform personalized and intelligent temperature adjustment according to different crops and environmental changes, thereby increasing the yield and quality of crops and reducing agricultural production risks, which is of great significance to promoting the development of smart agriculture. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic diagram of the system structure of the present invention; Figure 2 It is a structural schematic diagram of the actuator of the present invention; Figure 3 It is a structural schematic diagram of the control platform of the present invention. DETAILED DESCRIPTION

[0021] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. Obviously, the described embodiments are only part of the embodiments of the invention, rather than all of the embodiments. In the absence of conflict, the embodiments in this application and the features in the embodiments can be combined with each other. Based on the embodiments in the invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the invention.

[0022] It should be noted that if the embodiments of the invention involve directional indications (such as up, down, left, right, front, back, etc.), the directional indications are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0023] In addition, "multiple" means more than two. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the fact that ordinary technicians in the field can implement it. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such combination of technical solutions does not exist and is not within the scope of protection required by the invention.

[0024] See also Figure 1-3 , a temperature control device for smart agriculture and its control platform: Temperature control device for smart agriculture Temperature Sensor The temperature sensor is connected to the control unit through a standard digital interface (such as I2C or SPI) to transmit temperature data to the control unit in real time. The sensor has an accurate detection range and high accuracy of ±0.1℃, and adopts a low power design, which can reduce energy consumption in long-term monitoring.

[0025] Control unit The interface circuit of the temperature sensor is responsible for converting the analog signal from the temperature sensor into a digital signal. The circuit contains a high-precision analog-to-digital converter (ADC) to ensure the accuracy of the data.

[0026] The processor is the core component of the control unit, responsible for executing the temperature control algorithm and communicating with external modules. It integrates multiple functional modules, including: Data receiving module: receives real-time data from the temperature sensor and performs data preprocessing.

[0027] Algorithm module: includes temperature regulation algorithm, which calculates the difference between ambient temperature and preset temperature, and calculates the signal for adjusting temperature based on factors such as crop growth stage and ambient temperature change rate.

[0028] Artificial Intelligence Processing Module: Optimizes temperature control strategies through machine learning algorithms combined with historical data. This module is also responsible for performing adaptive learning functions and using reinforcement learning algorithms to dynamically adjust strategies.

[0029] Control signal output interface: transmits digital signal to the actuator to perform temperature adjustment tasks.

[0030] User interface module: Displays the current ambient temperature and historical temperature curves through a liquid crystal display (LCD) or touch screen. Users can enter a preset temperature range or view data through this interface.

[0031] Actuator The actuator includes a heater, a fan and a cooling device, which are respectively connected to the execution output terminal of the control unit. The control unit controls different execution devices to start or adjust the operating parameters according to the data of the temperature sensor and the temperature adjustment algorithm.

[0032] Heater: When the temperature is lower than the preset value, the control unit sends a heating command, the heater quickly raises the temperature, and has a constant temperature control function to prevent excessive temperature from damaging crops.

[0033] Fan: When the temperature is higher than the preset value, the control unit lowers the temperature by adjusting the fan's wind speed and direction to evenly distribute the cool air.

[0034] Cooling device: such as air conditioning or other refrigeration equipment, which automatically adjusts the cooling capacity according to demand.

[0035] Power control module: This module provides the required power output for the actuator, ensuring that it operates at an appropriate power level to adapt to agricultural production environments of different sizes.

[0036] Communication module The module communicates with the remote control platform through a wireless network (such as 5G) or a wired network (such as optical fiber). It adopts anti-interference technology to ensure accurate transmission of data in complex environments.

[0037] Data transmission uses encryption protocols to prevent outside interference or data tampering.

[0038] Artificial Intelligence Processor The processor is integrated into the control unit and runs an adaptive learning algorithm based on reinforcement learning, which is responsible for optimizing the temperature control strategy. It adjusts itself based on the real-time data and historical data fed back by the sensor to optimize the temperature control at different growth stages of the crop.

[0039] Use historical data and environmental change data through machine learning models (such as regression models or neural networks) to identify environmental patterns, predict future temperature change trends, and make adjustments in advance.

[0040] Control platform for temperature control devices for smart agriculture Data receiving module The control platform receives data from the temperature control device through the network. The module supports real-time data reception and provides a large-capacity cache function to ensure that data will not be lost during peak transmission periods.

[0041] When receiving data, the data receiving module performs preliminary verification and sorting on the data, including checking the integrity and consistency of the data and filtering out noise data.

[0042] user interface The user interface displays the ambient temperature data received from the temperature control device and its control status. The interface supports multiple display modes, such as list mode, chart mode, etc., to help users view data more intuitively.

[0043] The user interface also allows users to manually set or adjust preset temperature ranges and supports multi-language operation.

[0044] Historical data is presented in the form of a curve. Users can observe the temperature change trend over time through the chart, providing a basis for adjusting the temperature control strategy.

[0045] Control signaling module The module sends control signals to the temperature control device through encrypted communication to adjust the temperature in the agricultural production environment. In order to ensure communication security, the AES encryption algorithm is used to prevent the control signal from being maliciously tampered with.

[0046] Artificial Intelligence Module The artificial intelligence module uses the cloud-based big data platform to interact with local data and execute machine learning algorithms. It optimizes temperature control strategies by analyzing crop growth models and combining environmental data such as temperature and humidity. Its functions include: Adaptive learning: Using reinforcement learning algorithm, the control strategy is automatically adjusted according to the feedback of temperature changes. Reinforcement learning continuously tries different control schemes, gradually optimizes according to the growth stage of crops and feedback data, and finally generates the optimal control strategy.

[0047] Big data analysis: The artificial intelligence module connects with the cloud platform to obtain national or global agricultural meteorological data, and uses this big data to optimize the temperature strategy. For example, it combines regional meteorological data to predict future weather changes and adjust the temperature control strategy in advance.

[0048] Personalized temperature control strategy: This module customizes the temperature control strategy according to the growth model of different crops. For example, some crops are very sensitive to temperature at specific growth stages. The artificial intelligence module can automatically identify these key stages and give priority to the temperature control strategy suitable for the crop.

[0049] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0050] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

[0051] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A temperature control device for smart agriculture, characterized in that: include: Temperature sensor, which is specially designed to detect the real-time temperature of agricultural production environment. Its detection range can cover various temperature conditions that may occur in agricultural production environment, from low temperature in winter to high temperature in summer, and has the characteristics of fast response, which can timely and accurately reflect the slight changes of ambient temperature; A control unit, electrically connected to the temperature sensor, for receiving data from the temperature sensor and generating a control signal according to a preset temperature range, wherein a high-precision analog-to-digital conversion circuit is provided inside the control unit to ensure that the analog signal from the temperature sensor can be accurately processed and converted into a digital signal for subsequent calculation and processing; An actuator, electrically connected to the control unit, adjusts the temperature in the agricultural production environment according to a control signal of the control unit, and the actuator has sufficient power output capacity to meet the temperature regulation requirements of agricultural production environments of different scales; The communication module is used to transmit the data of the control unit to the remote control platform. The communication module adopts a stable and reliable communication protocol to ensure the accuracy and timeliness of data transmission in a complex agricultural production environment, and has a certain anti-interference ability to prevent external electromagnetic interference from affecting data transmission; An artificial intelligence processor is integrated in the control unit and is used to implement a machine learning algorithm to automatically adjust the temperature control strategy and optimize the temperature regulation process according to historical data and environmental changes. The artificial intelligence processor has powerful computing capabilities and can quickly process a large amount of temperature data and related environmental data to achieve efficient temperature control strategy optimization; wherein the control unit includes a temperature regulation algorithm to adjust the temperature control strategy according to the difference between the ambient temperature and a preset temperature range. The temperature regulation algorithm adopts an advanced mathematical model and comprehensively considers multiple factors such as the rate of change of ambient temperature and the sensitivity of crops to temperature at different stages of growth to achieve precise temperature regulation.

2. The temperature control device and control platform for smart agriculture according to claim 1, characterized in that: The temperature sensor is a digital temperature sensor that can provide high-precision temperature data with an accuracy of ±0.1°C. This high-precision temperature data can provide an accurate basis for subsequent temperature control, and the digital temperature sensor adopts a low-power design to reduce the energy consumption of the entire temperature control device.

3. The temperature control device and control platform for smart agriculture according to claim 1, characterized in that: The actuator includes but is not limited to a heater, a fan or other cooling device. The heater uses a high-efficiency heating element, can quickly increase the ambient temperature, and has a constant temperature control function to prevent excessive temperature from causing damage to crops; the fan has adjustable wind speed and wind direction functions, and can evenly distribute cold air in the agricultural production environment as needed; other cooling devices (such as air conditioners, etc.) can accurately adjust the cooling capacity according to the ambient temperature and crop needs.

4. The temperature control device and control platform for smart agriculture according to claim 1, characterized in that: The control unit further includes a user interface for receiving a preset temperature range input by a user and displaying the current ambient temperature. The user interface adopts an intuitive graphical interface design to facilitate user operation. Even agricultural producers without professional knowledge can easily set the preset temperature range, and the user interface can display historical temperature data curves so that users can better understand the changing trend of the ambient temperature.

5. A control platform for a temperature control device for smart agriculture, characterized in that: include: The data receiving module is used to receive temperature data and control status from the temperature control device. The data receiving module has a large-capacity data cache function to prevent data loss during the peak period of data transmission, and can perform preliminary verification and sorting of the received data; A user interface for displaying received data and allowing the user to set or adjust a preset temperature range. The user interface provides multiple display modes, such as list mode, chart mode, etc., to facilitate users to view different types of data. The user interface also supports multi-language operation to meet the needs of users in different regions. The control signal sending module is used to send control signals to the temperature control device to adjust the temperature of the agricultural production environment. The control signal sending module adopts an encrypted communication method to ensure the security of control signal transmission and prevent the control signal from being maliciously tampered with; The artificial intelligence module is used to analyze the received data, optimize the control strategy through machine learning algorithms, and automatically adjust the temperature setting to maximize crop production efficiency. The artificial intelligence module can interact with the agricultural big data platform in the cloud to obtain more reference data to optimize the control strategy, and can adjust the temperature control strategy according to the growth model of different crops. The control platform is connected to the communication module of the temperature control device through a network.

6. The control platform of a temperature control device for smart agriculture according to claim 5, characterized in that: The network includes a wireless network, a wired network or a combination thereof. The wireless network adopts advanced wireless communication technology, such as 5G technology, to achieve high-speed and stable data transmission. The wired network adopts high-speed and stable transmission media such as optical fiber. When the wireless network signal is poor, it can serve as a backup network to ensure uninterrupted communication between the control platform and the temperature control device.

7. The temperature control device for smart agriculture and the control platform thereof according to claim 1, characterized in that: The artificial intelligence processor is equipped with an adaptive learning function, which can continuously optimize the temperature control strategy based on continuous monitoring data to adapt to different environmental conditions and crop needs. The adaptive learning function adopts a reinforcement learning algorithm to continuously adjust the temperature control strategy in the optimal direction through continuous trial and error and reward mechanism, and can automatically switch different learning modes according to different growth stages of crops to improve learning efficiency.

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