Agricultural planting automatic management system based on digitization

Abstract

The invention provides an agricultural planting automatic management system based on digitization, and relates to the technical field of agricultural automatic control. The agricultural planting automatic management system based on digitization comprises an environment monitoring and control module, an intelligent irrigation module, an intelligent planting management module, a data processing and analysis platform, a remote monitoring and management terminal and an energy management module. The environment monitoring and control module monitors and adjusts the environment in the greenhouse in real time to ensure that crops grow under the optimal environment condition. According to the invention, a plurality of environmental parameters are collected through the wireless sensor and uploaded to the cloud in real time, multi-dimensional data chart display is supported, a user is helped to accurately master the environmental condition in the greenhouse, various devices are adjusted in real time according to the plurality of environmental parameters, it is ensured that the greenhouse environment is always in a state most suitable for crop growth, manual intervention is reduced, and the working efficiency is improved. And the production efficiency and the resource use efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of agricultural automation control, and in particular to a digital-based agricultural planting automation management system. Background Art

[0002] my country is a major agricultural country with a large population, resulting in a massive demand for agricultural products such as vegetables and fruits. However, due to environmental factors such as climate, the production of various crops and fruits is limited to one or two harvests per year according to their natural growth cycle. Greenhouses can help overcome the seasonality of agricultural production and improve agricultural production efficiency. Environmental factors that affect crop growth in greenhouses include temperature, humidity, light, and air circulation. To achieve efficient and high-quality agricultural production, quantitative control of these environmental parameters is crucial.

[0003] At present, agricultural greenhouses still have the disadvantage of low levels of informatization and intelligence. Most management work still needs to be done manually, and only some parameters can be controlled. People need to rely on their own production experience to control various actuators, and need to walk into the greenhouse or control the equipment to manually turn on the equipment. The environmental parameters of the greenhouse cannot be telemetered and remotely controlled, which cannot meet the requirements of informatization and networking of agricultural production technology.

[0004] Therefore, those skilled in the art provide a digital-based agricultural planting automation management system to solve the problems raised in the above background technology. Summary of the Invention

[0005] In response to the shortcomings of the existing technology, the present invention provides a digital-based agricultural planting automation management system, which solves the current shortcomings of agricultural greenhouses, such as low levels of informatization and intelligence. Most management work still needs to be done manually, and only some parameters can be controlled. Personnel need to rely on their own production experience to control various actuators, and need to walk into the greenhouse or around the control equipment to manually turn on the equipment. The environmental parameters of the greenhouse cannot be remotely measured and controlled, and the requirements of informatization and networking of agricultural production technology cannot be met.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0007] A digital-based agricultural planting automation management system, including an environmental monitoring and control module, an intelligent irrigation module, an intelligent planting management module, a data processing and analysis platform, a remote monitoring and management terminal, and an energy management module;

[0008] The environmental monitoring and control module ensures that crops grow in optimal environmental conditions by real-time monitoring and adjustment of the greenhouse environment;

[0009] The intelligent irrigation module is used to intelligently supply water according to the growth needs of crops and the environmental conditions in the greenhouse, achieving water-saving, efficient and precise irrigation;

[0010] The intelligent planting management module uses intelligent hardware devices, sensors, data acquisition systems and artificial intelligence algorithms to achieve precise control of crop growth, thereby increasing crop yields, reducing resource waste and improving production efficiency;

[0011] Users on the data processing and analysis platform can remotely view the real-time data and equipment operating status of the greenhouse through mobile phone APP, tablet computer or web page, perform remote operations, and support multiple automation control modes;

[0012] The remote monitoring and management terminal uses advanced sensors, IoT technology, and cloud platforms, combined with data analysis and automated control, to enable farm managers to monitor greenhouse operations in real time from anywhere, quickly respond to environmental changes and issues, and improve production efficiency and crop quality.

[0013] The energy management module is used to monitor energy consumption in the greenhouse, automatically adjust the use of temperature control, lighting and other equipment to reduce energy consumption, and use renewable energy to provide energy for the agricultural greenhouse, thereby reducing operating costs.

[0014] Furthermore, the environmental monitoring and control module includes a data acquisition module, a data transmission module, a data processing and analysis module and an automation control module;

[0015] The data acquisition module is composed of various sensors, including air temperature and humidity sensors, light intensity sensors, carbon dioxide sensors, soil temperature and humidity sensors, and soil pH sensors. These sensors can obtain key parameters such as air temperature and humidity, light intensity, carbon dioxide concentration, soil moisture and temperature, and soil pH value in the greenhouse in real time.

[0016] The data transmission module quickly uploads the collected data to the cloud platform for processing, supporting wireless transmission technologies such as LoRa, NB-IoT, and 4G;

[0017] The data processing and analysis module uses big data technology to analyze various data to help users predict weather changes, optimize production plans, and adjust crop planting strategies;

[0018] The automation control module automatically adjusts the temperature, humidity, light and CO2 concentration in the greenhouse according to environmental data through PLC or other control devices. Specifically, it automatically adjusts the temperature, humidity, light and CO2 concentration factors according to the upper and lower limits of environmental parameters set by the user, and automatically starts and stops control equipment such as fill lights, fans, wet curtains, water pumps, etc. to ensure that crops are in the best growth environment.

[0019] Furthermore, the intelligent irrigation module includes a soil moisture sensing unit, an automatic irrigation control unit, and a drip irrigation and sprinkler irrigation unit;

[0020] The soil moisture sensing unit uses a temperature and humidity sensor to monitor the temperature and humidity in the greenhouse in real time, and automatically uploads the data to the control system;

[0021] The automatic irrigation control unit automatically controls the irrigation system to irrigate according to soil moisture data, thereby reducing water waste;

[0022] The drip irrigation and sprinkler irrigation unit automatically selects the appropriate irrigation method according to the needs of the crops to ensure the healthy growth of the crops.

[0023] Furthermore, the intelligent planting management module includes a plant growth monitoring unit and a crop nutrient management unit;

[0024] The plant growth monitoring unit uses image recognition technology to monitor the growth of plants in real time and issue an early warning if any abnormality is found;

[0025] The crop nutrient management unit automatically adds necessary fertilizers and nutrients according to the growth requirements of the soil and plants.

[0026] Furthermore, the data processing and analysis platform processes and analyzes the uploaded data, specifically including a data storage module, a big data analysis module, an intelligent decision support module, and a user interface control module;

[0027] The data storage module is used to store data uploaded to the cloud platform;

[0028] The big data analysis module uses big data technology to analyze various uploaded data to help users predict weather changes, optimize production plans, and adjust crop planting strategies;

[0029] The intelligent decision support module automatically generates production optimization plans and crop management suggestions based on the data analysis results;

[0030] The user interface control module can remotely view the real-time data of the greenhouse through a mobile phone APP, tablet computer or web page, obtain information such as environmental changes, equipment operating status, alarm records, etc., and can also adjust the switch of the control equipment at any time through the APP for remote operation.

[0031] Furthermore, the remote monitoring and management terminal includes a mobile APP and an alarm system;

[0032] The mobile APP provides remote monitoring, data viewing and system control functions, allowing users to manage the greenhouse anytime and anywhere;

[0033] When the alarm system detects an abnormal situation through the sensor, it automatically issues an alarm (such as temperature is too high, humidity is too low, etc.) and notifies the management personnel via mobile phone.

[0034] Furthermore, the energy management module includes a real-time energy monitoring unit, an automated energy adjustment unit, an energy usage mode optimization unit, an energy efficiency evaluation and optimization unit, and a remote energy management terminal;

[0035] The real-time energy monitoring unit monitors the usage of electricity, gas, heat and other energy sources in real time through sensors installed in the greenhouse, and uploads the data to the cloud platform or local management system in real time, helping managers understand the specific situation of energy consumption. When energy usage approaches the preset threshold, it can send an alert in time to remind managers to pay attention to peak energy usage and avoid unnecessary waste.

[0036] The automated energy adjustment unit intelligently adjusts the heating, cooling, and ventilation devices based on data such as the greenhouse's temperature, humidity, and light intensity, ensuring efficient energy use. It automatically controls the on / off of artificial lighting devices based on sunlight intensity and the greenhouse's light requirements. When sufficient light is available, it automatically turns off the lights, reducing power waste.

[0037] The energy usage mode optimization unit adjusts the operation mode of the greenhouse equipment according to the energy supply situation (such as grid load, peak and valley electricity prices, etc.). In addition to electricity, the system also integrates the use of renewable energy (such as solar or wind energy) to reduce dependence on the grid;

[0038] The energy efficiency assessment and optimization unit analyzes the energy usage data in the greenhouse, evaluates the energy efficiency of various equipment and systems, identifies inefficient links, and enables managers to make targeted adjustments and optimizations based on the analysis report;

[0039] The remote energy management terminal monitors the energy usage in the greenhouse in real time through the cloud platform or mobile terminal. No matter where you are, you can promptly detect abnormal energy usage and take corresponding measures;

[0040] In the event of equipment failure or abnormal energy usage, it can send alarms in a timely manner and support remote control functions to ensure that the equipment in the greenhouse can continue to operate.

[0041] Furthermore, the drip irrigation and sprinkler irrigation unit specifically includes:

[0042] A filter unit, wherein the filter unit is connected to a water source;

[0043] An irrigation unit, connected to the filtering unit, and arranged in the greenhouse body;

[0044] A pre-mixing unit, the pre-mixing unit is connected to the filtering unit, and at least one group of feeding units is provided above the pre-mixing unit, and the at least one group of feeding units quantitatively feeds organic fertilizer into the pre-mixing unit according to the compensation control signal;

[0045] The liquid storage unit is connected to the pre-mixing unit and the irrigation unit and is used to store the liquid to be irrigated.

[0046] The present invention provides a digital agricultural planting automation management system with the following beneficial effects:

[0047] 1. The present invention provides a digital-based agricultural planting automation management system, which collects multiple environmental parameters through wireless sensors and uploads them to the cloud in real time. It supports multi-dimensional data chart display, helping users to accurately grasp the environmental conditions in the greenhouse and adjust various types of equipment in real time according to multiple environmental parameters to ensure that the greenhouse environment is always in the most suitable state for crop growth, reduce manual intervention, and improve production efficiency and resource utilization efficiency.

[0048] 2. The present invention provides a digital-based automated agricultural planting management system that can accurately control environmental factors such as light, humidity, and temperature, which helps to achieve balanced growth of crops, improve crop yield and quality, avoid the adverse effects of environmental fluctuations on crops, and improve the stability of agricultural production. Through intelligent control, the system can also automatically shut down unnecessary equipment, reduce energy consumption, lower operating costs, and promote the development of green agriculture.

[0049] 3. The present invention provides a digital-based agricultural planting automation management system, which saves labor costs and improves management efficiency through remote management and control functions. The system's built-in alarm and safety monitoring functions ensure safety during the production process, reduce equipment failures and accident risks, and can also monitor energy consumption in the greenhouse, automatically adjust the use of temperature control, lighting and other equipment, reduce energy consumption, and use renewable energy to provide energy for agricultural greenhouses, thereby reducing operating costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 This is a block diagram of the structure of the digital agricultural planting automation management system of the present invention;

[0051] Figure 2 This is a structural diagram of the data processing and analysis platform of the present invention;

[0052] Figure 3 This is a structural block diagram of the energy management module of the present invention;

[0053] Figure 4 This is a structural block diagram of the drip irrigation and sprinkler irrigation unit of the present invention. DETAILED DESCRIPTION

[0054] The following will be combined with the drawings in the specific embodiments of the present invention to clearly and completely describe the technical solutions in the specific embodiments of the present invention. Obviously, the specific embodiments described are only part of the specific embodiments of the present invention, rather than all the specific embodiments. Based on the specific embodiments of the present invention, all other specific embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0055] Example:

[0056] like Figure 1-4 As shown, an embodiment of the present invention provides a digital agricultural planting automation management system, including an environmental monitoring and control module, an intelligent irrigation module, an intelligent planting management module, a data processing and analysis platform, a remote monitoring and management terminal, and an energy management module;

[0057] The environmental monitoring and control module ensures that crops grow in optimal environmental conditions by real-time monitoring and adjustment of the greenhouse environment;

[0058] The environmental monitoring and control module includes a data acquisition module, a data transmission module, a data processing and analysis module and an automation control module;

[0059] The data acquisition module is composed of various sensors, including air temperature and humidity sensors, light intensity sensors, carbon dioxide sensors, soil temperature and humidity sensors, and soil pH sensors. These sensors can obtain key parameters such as air temperature and humidity, light intensity, carbon dioxide concentration, soil moisture and temperature, and soil pH value in the greenhouse in real time.

[0060] The data transmission module quickly uploads the collected data to the cloud platform for processing, supporting wireless transmission technologies such as LoRa, NB-IoT, and 4G;

[0061] The data processing and analysis module uses big data technology to analyze various data to help users predict weather changes, optimize production plans, and adjust crop planting strategies;

[0062] The automation control module automatically adjusts the temperature, humidity, light and CO2 concentration in the greenhouse according to environmental data through PLC or other control devices. Specifically, it automatically adjusts the temperature, humidity, light and CO2 concentration factors according to the upper and lower limits of environmental parameters set by the user, and automatically starts and stops control equipment such as fill lights, fans, wet curtains, water pumps, etc. to ensure that crops are in the best growth environment.

[0063] The intelligent irrigation module is used to intelligently supply water according to the growth needs of crops and the environmental conditions in the greenhouse, achieving water-saving, efficient and precise irrigation;

[0064] The environmental monitoring and control module includes a data acquisition module, a data transmission module, a data processing and analysis module and an automation control module;

[0065] The data acquisition module is composed of various sensors, including air temperature and humidity sensors, light intensity sensors, carbon dioxide sensors, soil temperature and humidity sensors, and soil pH sensors. These sensors can obtain key parameters such as air temperature and humidity, light intensity, carbon dioxide concentration, soil moisture and temperature, and soil pH value in the greenhouse in real time.

[0066] The data transmission module quickly uploads the collected data to the cloud platform for processing, supporting wireless transmission technologies such as LoRa, NB-IoT, and 4G;

[0067] The data processing and analysis module uses big data technology to analyze various data to help users predict weather changes, optimize production plans, and adjust crop planting strategies;

[0068] The automation control module automatically adjusts the temperature, humidity, light and CO2 concentration in the greenhouse according to environmental data through PLC or other control devices. Specifically, it automatically adjusts the temperature, humidity, light and CO2 concentration factors according to the upper and lower limits of environmental parameters set by the user, and automatically starts and stops control equipment such as fill lights, fans, wet curtains, water pumps, etc. to ensure that crops are in the best growth environment;

[0069] The drip irrigation and sprinkler irrigation unit specifically includes:

[0070] A filter unit, wherein the filter unit is connected to a water source;

[0071] An irrigation unit, connected to the filtering unit, and arranged in the greenhouse body;

[0072] A pre-mixing unit, the pre-mixing unit is connected to the filtering unit, and at least one group of feeding units is provided above the pre-mixing unit, and the at least one group of feeding units quantitatively feeds organic fertilizer into the pre-mixing unit according to the compensation control signal;

[0073] The liquid storage unit is connected to the pre-mixing unit and the irrigation unit and is used to store the liquid to be irrigated.

[0074] The intelligent planting management module uses intelligent hardware devices, sensors, data acquisition systems and artificial intelligence algorithms to achieve precise control of crop growth, thereby increasing crop yields, reducing resource waste and improving production efficiency;

[0075] The intelligent planting management module includes a plant growth monitoring unit and a crop nutrient management unit;

[0076] The plant growth monitoring unit uses image recognition technology to monitor the growth of plants in real time and issue an early warning if any abnormality is found;

[0077] The crop nutrient management unit automatically adds necessary fertilizers and nutrients according to the growth requirements of the soil and plants.

[0078] Users on the data processing and analysis platform can remotely view the real-time data and equipment operating status of the greenhouse through mobile phone APP, tablet computer or web page, perform remote operations, and support multiple automation control modes;

[0079] The data processing and analysis platform processes and analyzes the uploaded data, specifically including a data storage module, a big data analysis module, an intelligent decision support module and a user interface control module;

[0080] The data storage module is used to store data uploaded to the cloud platform;

[0081] The big data analysis module uses big data technology to analyze various uploaded data to help users predict weather changes, optimize production plans, and adjust crop planting strategies;

[0082] The intelligent decision support module automatically generates production optimization plans and crop management suggestions based on the data analysis results;

[0083] The user interface control module can remotely view the real-time data of the greenhouse through a mobile phone APP, tablet computer or web page, obtain information such as environmental changes, equipment operating status, alarm records, etc., and can also adjust the switch of the control equipment at any time through the APP for remote operation.

[0084] The remote monitoring and management terminal uses advanced sensors, IoT technology, and cloud platforms, combined with data analysis and automated control, to enable farm managers to monitor greenhouse operations in real time from anywhere, quickly respond to environmental changes and issues, and improve production efficiency and crop quality.

[0085] The remote monitoring and management terminal includes a mobile APP and an alarm system;

[0086] The mobile APP provides remote monitoring, data viewing and system control functions, allowing users to manage the greenhouse anytime and anywhere;

[0087] When the alarm system detects an abnormal situation through the sensor, it automatically issues an alarm (such as temperature is too high, humidity is too low, etc.) and notifies the management personnel via mobile phone.

[0088] The energy management module is used to monitor energy consumption in the greenhouse, automatically adjust the use of temperature control, lighting and other equipment to reduce energy consumption, and use renewable energy to provide energy for the agricultural greenhouse, thereby reducing operating costs;

[0089] The energy management module includes a real-time energy monitoring unit, an automatic energy adjustment unit, an energy usage mode optimization unit, an energy efficiency evaluation and optimization unit, and a remote energy management terminal;

[0090] The real-time energy monitoring unit monitors the usage of electricity, gas, heat and other energy sources in real time through sensors installed in the greenhouse, and uploads the data to the cloud platform or local management system in real time, helping managers understand the specific situation of energy consumption. When energy usage approaches the preset threshold, it can send an alert in time to remind managers to pay attention to peak energy usage and avoid unnecessary waste.

[0091] The automated energy adjustment unit intelligently adjusts the heating, cooling, and ventilation devices based on data such as the greenhouse's temperature, humidity, and light intensity, ensuring efficient energy use. It automatically controls the on / off of artificial lighting devices based on sunlight intensity and the greenhouse's light requirements. When sufficient light is available, it automatically turns off the lights, reducing power waste.

[0092] The energy usage mode optimization unit adjusts the operation mode of the greenhouse equipment according to the energy supply situation (such as grid load, peak and valley electricity prices, etc.). In addition to electricity, the system also integrates the use of renewable energy (such as solar or wind energy) to reduce dependence on the grid;

[0093] The energy efficiency assessment and optimization unit analyzes the energy usage data in the greenhouse, evaluates the energy efficiency of various equipment and systems, identifies inefficient links, and enables managers to make targeted adjustments and optimizations based on the analysis report;

[0094] The remote energy management terminal monitors the energy usage in the greenhouse in real time through the cloud platform or mobile terminal. No matter where you are, you can promptly detect abnormal energy usage and take corresponding measures;

[0095] In the event of equipment failure or abnormal energy usage, it can send alarms in a timely manner and support remote control functions to ensure that the equipment in the greenhouse can continue to operate.

[0096] Working method:

[0097] The system collects multiple environmental parameters through wireless sensors and uploads them to the cloud platform in real time, including air temperature and humidity sensors, light intensity sensors, carbon dioxide sensors, soil temperature and humidity sensors, soil pH sensors, etc., to obtain key parameters such as air temperature and humidity, light intensity, carbon dioxide concentration, soil moisture and temperature, soil pH value, etc. in the greenhouse in real time. All collected data are centrally processed and analyzed through the cloud platform. Users can view the analysis results in real time through the APP, and then automatically adjust the temperature, humidity, light, CO2 concentration and other factors according to the set environmental parameters, and automatically start and stop related control equipment to ensure that crops are in the best growth environment. If the environmental parameters exceed the set values, the system will immediately issue an early warning. It provides multiple ways to inform users in time, such as text messages, APP push, sound and light alarms, etc., to ensure that appropriate measures can be taken at the first time. Users can then remotely view the real-time data and equipment operating status of the greenhouse through mobile APP, tablet computer or web page, and perform remote operations. It supports multiple automatic control modes. All collected data will be recorded and stored in real time. Users can perform trend analysis and comparison through historical data to help farm managers make scientific decisions. Finally, the system uses high-definition cameras to monitor the interior of the greenhouse in real time 24 hours a day. Users can view the real-time images of the greenhouse at any time and conduct remote inspections, which helps to timely detect potential problems such as pests and diseases, equipment failures, etc., and improve the safety of agricultural production.

[0098] Although specific embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations can be made to these specific embodiments without departing from the principles and spirit of the invention, and the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A digital agricultural planting automation management system, characterized in that: Including environmental monitoring and control module, intelligent irrigation module, intelligent planting management module, data processing and analysis platform, remote monitoring and management terminal, energy management module; The environmental monitoring and control module ensures that crops grow in optimal environmental conditions by real-time monitoring and adjustment of the greenhouse environment; The intelligent irrigation module is used to intelligently supply water according to the growth needs of crops and the environmental conditions in the greenhouse, achieving water-saving, efficient and precise irrigation; The intelligent planting management module uses intelligent hardware devices, sensors, data acquisition systems and artificial intelligence algorithms to achieve precise control of crop growth, thereby increasing crop yields, reducing resource waste and improving production efficiency; Users on the data processing and analysis platform can remotely view the real-time data and equipment operating status of the greenhouse through mobile phone APP, tablet computer or web page, perform remote operations, and support multiple automation control modes; The remote monitoring and management terminal uses advanced sensors, IoT technology, and cloud platforms, combined with data analysis and automated control, to enable farm managers to monitor greenhouse operations in real time from anywhere, quickly respond to environmental changes and issues, and improve production efficiency and crop quality. The energy management module is used to monitor energy consumption in the greenhouse, automatically adjust the use of temperature control, lighting and other equipment to reduce energy consumption, and use renewable energy to provide energy for the agricultural greenhouse, thereby reducing operating costs.

2. The digital agricultural planting automation management system according to claim 1 is characterized in that: The environmental monitoring and control module includes a data acquisition module, a data transmission module, a data processing and analysis module and an automation control module; The data acquisition module is composed of various sensors, including air temperature and humidity sensors, light intensity sensors, carbon dioxide sensors, soil temperature and humidity sensors, and soil pH sensors. These sensors can obtain key parameters such as air temperature and humidity, light intensity, carbon dioxide concentration, soil moisture and temperature, and soil pH value in the greenhouse in real time. The data transmission module quickly uploads the collected data to the cloud platform for processing, supporting wireless transmission technologies such as LoRa, NB-IoT, and 4G; The data processing and analysis module uses big data technology to analyze various data to help users predict weather changes, optimize production plans, and adjust crop planting strategies; The automation control module automatically adjusts the temperature, humidity, light and CO2 concentration in the greenhouse according to environmental data through PLC or other control devices. Specifically, it automatically adjusts the temperature, humidity, light and CO2 concentration factors according to the upper and lower limits of environmental parameters set by the user, and automatically starts and stops control equipment such as fill lights, fans, wet curtains, water pumps, etc. to ensure that crops are in the best growth environment.

3. The digital agricultural planting automation management system according to claim 1 is characterized in that: The intelligent irrigation module includes a soil moisture sensing unit, an automatic irrigation control unit, and a drip irrigation and sprinkler irrigation unit; The soil moisture sensing unit uses a temperature and humidity sensor to monitor the temperature and humidity in the greenhouse in real time, and automatically uploads the data to the control system; The automatic irrigation control unit automatically controls the irrigation system to irrigate according to soil moisture data, thereby reducing water waste; The drip irrigation and sprinkler irrigation unit automatically selects the appropriate irrigation method according to the needs of the crops to ensure the healthy growth of the crops.

4. The digital agricultural planting automation management system according to claim 1, characterized in that: The intelligent planting management module includes a plant growth monitoring unit and a crop nutrient management unit; The plant growth monitoring unit uses image recognition technology to monitor the growth of plants in real time and issue an early warning if any abnormality is found; The crop nutrient management unit automatically adds necessary fertilizers and nutrients according to the growth requirements of the soil and plants.

5. The digital agricultural planting automation management system according to claim 1 is characterized in that: The data processing and analysis platform processes and analyzes the uploaded data, specifically including a data storage module, a big data analysis module, an intelligent decision support module and a user interface control module; The data storage module is used to store data uploaded to the cloud platform; The big data analysis module uses big data technology to analyze various uploaded data to help users predict weather changes, optimize production plans, and adjust crop planting strategies; The intelligent decision support module automatically generates production optimization plans and crop management suggestions based on the data analysis results; The user interface control module can remotely view the real-time data of the greenhouse through a mobile phone APP, tablet computer or web page, obtain information such as environmental changes, equipment operating status, alarm records, etc., and can also adjust the switch of the control equipment at any time through the APP for remote operation.

6. The digital agricultural planting automation management system according to claim 1, characterized in that: The remote monitoring and management terminal includes a mobile APP and an alarm system; The mobile APP provides remote monitoring, data viewing and system control functions, allowing users to manage the greenhouse anytime and anywhere; When the alarm system detects an abnormal situation through the sensor, it automatically sounds an alarm and notifies the management personnel via mobile phone.

7. The digital agricultural planting automation management system according to claim 1, characterized in that: The energy management module includes a real-time energy monitoring unit, an automatic energy adjustment unit, an energy usage mode optimization unit, an energy efficiency evaluation and optimization unit, and a remote energy management terminal; The real-time energy monitoring unit monitors the usage of electricity, gas, heat and other energy sources in real time through sensors installed in the greenhouse, and uploads the data to the cloud platform or local management system in real time, helping managers understand the specific situation of energy consumption. When energy usage approaches the preset threshold, it can send an alert in time to remind managers to pay attention to peak energy usage and avoid unnecessary waste. The automated energy adjustment unit intelligently adjusts the heating, cooling, and ventilation devices based on data such as the greenhouse's temperature, humidity, and light intensity, ensuring efficient energy use. It automatically controls the on / off of artificial lighting devices based on sunlight intensity and the greenhouse's light requirements. When sufficient light is available, it automatically turns off the lights, reducing power waste. The energy usage mode optimization unit adjusts the operation mode of the greenhouse equipment according to the energy supply situation. In addition to electricity, the system also integrates the use of renewable energy to reduce dependence on the power grid; The energy efficiency assessment and optimization unit analyzes the energy usage data in the greenhouse, evaluates the energy efficiency of various equipment and systems, identifies inefficient links, and enables managers to make targeted adjustments and optimizations based on the analysis report; The remote energy management terminal monitors the energy usage in the greenhouse in real time through the cloud platform or mobile terminal. No matter where you are, you can promptly detect abnormal energy usage and take corresponding measures; In the event of equipment failure or abnormal energy usage, it can send alarms in a timely manner and support remote control functions to ensure that the equipment in the greenhouse can continue to operate.

8. The digital agricultural planting automation management system according to claim 3 is characterized in that: The drip irrigation and sprinkler irrigation unit specifically includes: A filter unit, wherein the filter unit is connected to a water source; An irrigation unit, connected to the filtering unit, and arranged in the greenhouse body; A pre-mixing unit, the pre-mixing unit is connected to the filtering unit, and at least one group of feeding units is provided above the pre-mixing unit, and the at least one group of feeding units quantitatively feeds organic fertilizer into the pre-mixing unit according to the compensation control signal; The liquid storage unit is connected to the pre-mixing unit and the irrigation unit and is used to store the liquid to be irrigated.

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