Integrated agricultural meteorological environment monitoring system and control method

Abstract

The invention discloses an integrated agricultural meteorological environment monitoring system and a control method, and relates to the technical field of agricultural meteorological monitoring, and the system comprises a plurality of portable climate sampling devices, a plurality of fixed meteorological monitoring stations, a plurality of integrated ad hoc network modules, a plurality of front meteorological data processing modules, and a monitoring server. According to the invention, a plurality of portable climate sampling devices are adopted to carry out irregular mobile monitoring, then a plurality of preposed meteorological data processing modules are adopted to carry out preposed analysis on two groups of monitoring data of integrated networking, and when the difference degree between a mobile monitoring value and a fixed monitoring value is greater than a set threshold value, the preposed meteorological data processing modules are used to carry out preposed analysis on the two groups of monitoring data. If yes, the difference between the meteorological monitoring value of the position where the portable climate sampling device is located and the monitoring value of a fixed meteorological monitoring station at the nearest point is large, and after a worker knows the situation through a monitoring server, the position needs to be emphatically and independently monitored; the technical problem that meteorological parameters of different places cannot be monitored by fixed environment monitoring is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of agricultural meteorological monitoring, and particularly to an integrated agricultural meteorological environment monitoring system and a control method. Background Art

[0002] Agricultural meteorological monitoring refers to the use of various sensors and monitoring devices to collect meteorological data in the farmland ecological environment, including key parameters such as temperature, humidity, light, and soil conditions. These data are crucial for agricultural production because they can help farmers promptly understand and adjust the growth environment of crops, optimize agricultural production decisions, and improve crop yield and quality.

[0003] Existing agricultural meteorological monitoring technologies usually adopt ground meteorological stations and remote monitoring systems using communication technologies. These systems can provide real-time or quasi-real-time meteorological data and help agricultural producers make scientific planting management decisions through data analysis.

[0004] However, there are also some defects in the existing technologies. For example, some monitoring devices rely on wired connections, which limits their mobility and flexibility. Additionally, battery life and sensor accuracy are also challenges faced by current technologies.

[0005] Moreover, the current monitoring systems still need to be improved in terms of data transmission and battery life. Although some systems can wirelessly transmit data, there are still limitations in transmission distance, network stability, and data security. Battery technology also needs to be improved, especially in solar charging and low-power design, to meet the needs of long-term field operations.

[0006] In summary, although significant progress has been made in agricultural meteorological monitoring technologies, there is still room for improvement, especially in enhancing the portability, stability, and user-friendliness of devices, as well as reducing costs and improving the reliability and availability of data through technological innovation. Summary of the Invention

[0007] To solve the above technical problems, the present invention provides an integrated agricultural meteorological environment monitoring system and a control method. The following technical solutions are adopted:

[0008] Integrated agricultural meteorological environment monitoring system, including multiple portable climate sampling devices, multiple fixed meteorological monitoring stations, multiple integrated self-organizing network modules, multiple pre-frontal meteorological data processing modules and monitoring servers. The portable climate sampling device includes a mounting piece, a mobile monitoring sensor module and a positioning module. One side of the mounting piece is detachably installed on the top surface of the safety helmet, and the mobile sensor module and the positioning module are detachably installed on the other side of the mounting piece. When the safety helmet moves with the staff in the agricultural meteorological environment monitoring area, the mobile sensor module monitors the meteorological conditions in the agricultural meteorological environment monitoring area. The meteorological monitoring includes monitoring of light parameters, wind parameters and carbon dioxide parameters. The positioning module monitors the position data of the current portable climate sampling device. Multiple fixed meteorological monitoring stations are evenly arranged in the agricultural meteorological environment monitoring area for meteorological monitoring, and an integrated self-organizing network is realized with the nearest fixed meteorological monitoring station through the integrated self-organizing network module. The pre-frontal meteorological data processing module is installed on the fixed meteorological monitoring station and is communicatively connected with the integrated self-organizing network module, and collects the meteorological data of the fixed meteorological monitoring station and the nearest portable climate sampling device for pre-frontal analysis and processing, and screens out the position data corresponding to the meteorological data with the difference value between the meteorological data of the portable climate sampling device and the fixed meteorological monitoring station greater than the set threshold. The monitoring server is communicatively connected with multiple fixed meteorological monitoring stations respectively.

[0009] By adopting the above technical solution, multiple fixed meteorological monitoring stations are evenly arranged in the agricultural meteorological environment monitoring area, and meteorological parameters are monitored with the fixed meteorological monitoring stations as nodes. The monitoring values here can reflect the meteorological parameters within a small area, but in fact, they cannot fully represent the small area, and there will still be some meteorological parameters at special locations that are quite different from the monitoring points. If only fixed monitoring is used, the meteorological parameters at these special locations cannot be obtained. Therefore, multiple portable climate sampling devices are used for irregular mobile monitoring. Since parameters such as light and wind need to be collected, it is the most convenient to use the form of staff wearing hats for mobile monitoring. In theory, as long as the time is long enough, the meteorological data of any point within the area can be collected.

[0010] During the mobile monitoring process, multiple integrated ad-hoc network modules wirelessly network multiple portable climate sampling devices with multiple fixed meteorological monitoring stations in real time. For a portable climate sampling device, it only forms an integrated network with the nearest fixed meteorological monitoring station. As the moving distance of the portable climate sampling device changes, it may form an integrated network with other fixed meteorological monitoring stations. In short, the data of its mobile monitoring will be within the coverage of the fixed meteorological monitoring stations. Then, the two sets of monitoring data of the integrated network are pre-analyzed through multiple front-end meteorological data processing modules respectively. When the difference between the mobile monitoring value and the fixed monitoring value is greater than the set threshold, it means that the meteorological monitoring value at the location where the portable climate sampling device is located is quite different from the monitoring value of the nearest fixed meteorological monitoring station. Therefore, the monitoring value of the fixed meteorological monitoring station at this location cannot represent the meteorological monitoring value at this location. After the staff learn about the above situation through the monitoring server, they need to conduct key and separate monitoring on this location, solving the technical problem that fixed environmental monitoring cannot monitor the meteorological parameters at special locations.

[0011] Optionally, the portable climate sampling device further includes a power supply module, and the power supply module includes a battery, a photovoltaic film, and a photovoltaic charger. The battery supplies power to each electrical component of the portable climate sampling device respectively. The photovoltaic film is wrapped and mounted on the surface of the brim of the safety helmet and charges the battery through the photovoltaic charger.

[0012] By adopting the above technical solution, in order to ensure the cruising ability of the portable climate sampling device, while using the battery for power supply, the photovoltaic film is used for photovoltaic power generation and is charged through the photovoltaic charger.

[0013] Optionally, the mobile sensor module includes a light sensor, a wind speed sensor, and a carbon dioxide sensor. The data output ends of the light sensor, the wind speed sensor, and the carbon dioxide sensor are respectively communicatively connected to the integrated ad-hoc network module.

[0014] Optionally, the integrated ad-hoc network module includes a mobile LoRa module, a fixed LoRa module, and a data processing chip. The mobile LoRa module is disposed on the safety helmet, and its data input end is communicatively connected to the data output ends of the mobile monitoring sensor module and the positioning module respectively. The fixed LoRa module is installed at the fixed meteorological monitoring station, and the fixed LoRa module is wirelessly communicatively connected to the mobile LoRa modules of multiple integrated ad-hoc network modules. The data processing chip is communicatively connected to the data output ends of the fixed meteorological monitoring station and the fixed LoRa module respectively, judges the positioning data transmitted by the mobile LoRa modules of multiple integrated ad-hoc network modules, calculates the distances from the position data of the fixed meteorological monitoring station respectively, and selects the meteorological monitoring data transmitted by the mobile LoRa module with the closest distance to transmit to the pre-positioned meteorological data processing module.

[0015] Optionally, the pre-positioned meteorological data processing module is a data analysis chip.

[0016] By adopting the above technical solution, the integrated ad-hoc network module realizes long-distance wireless communication based on the mobile LoRa module and the fixed LoRa module, and the data processing chip is used to process and analyze the positioning data in real time, and pack and send the meteorological data monitored by the mobile monitoring sensor module and the meteorological data monitored by the fixed meteorological monitoring station with the closest real-time distance to the pre-positioned meteorological data processing module.

[0017] Optionally, the monitoring server includes a multi-channel data receiving module and a computer. The multi-channel data receiving module is communicatively connected to the data output ends of multiple pre-positioned meteorological data processing modules respectively, and the data input end of the computer is communicatively connected to the data output end of the multi-channel data receiving module.

[0018] Optionally, the monitoring server further includes a display screen, which is communicatively connected to the data output end of the computer, and is used for visually displaying the monitoring data of multiple fixed meteorological monitoring stations, and correspondingly displaying the meteorological monitoring data of the portable climate sampling device closest to the fixed meteorological monitoring station.

[0019] By adopting the above technical solution, the multi-channel data receiving module aggregates and transmits the multi-channel meteorological monitoring data to the computer. The computer can perform visual processing on the data and display it through the display screen. The staff can timely and comprehensively understand the agricultural meteorological monitoring parameters within the regional scope through the display screen, and can intuitively understand the special locations with large meteorological data differences in time, arrange staff for special observation, and if necessary, arrange to set up additional fixed meteorological monitoring stations separately at special locations.

[0020] Optionally, the monitoring server further includes an audible and visual alarm, which is controllably connected to the computer. When it is determined that the difference value between the meteorological data of the portable climate sampling device and the fixed meteorological monitoring station is greater than the set threshold, the audible and visual alarm is controlled to give an audible and visual alarm.

[0021] By adopting the above technical solution, the activation of the audible and visual alarm can remind the staff to pay attention to the meteorological parameters at abnormal and special locations as soon as possible.

[0022] The integrated agricultural meteorological environment monitoring and control method uses an integrated agricultural meteorological environment monitoring system to monitor and control the agricultural meteorology within a regional scope. The specific solution includes the following steps:

[0023] Step 1, multiple staff members respectively wear hats installed with portable climate sampling devices on their heads regularly to conduct mobile monitoring of the agricultural meteorology within the regional scope. At the same time, multiple fixed meteorological monitoring stations conduct fixed monitoring at fixed positions;

[0024] Step 2, the data processing chip respectively judges the positioning data transmitted by the mobile LoRa modules of the multiple mobile LoRa module integrated self-networking modules, calculates the distances from the position data of the fixed meteorological monitoring stations respectively, and selects the meteorological monitoring data transmitted by the mobile LoRa module with the closest distance to be transmitted to the pre-front meteorological data processing module;

[0025] Step 3, the pre-front meteorological data processing module conducts pre-front data analysis. Let the time point be t. The light intensity value of the meteorological data monitored by the mobile monitoring sensor module is It, the real-time carbon dioxide concentration value is Ct, and the wind speed value is Wt. At the same time, the meteorological data monitored by the fixed meteorological monitoring station are respectively recorded as Ita, Cta, and Wta. The difference values of different parameters are calculated respectively. The light intensity difference value is Iy = |It - Ita|, the carbon dioxide concentration difference value is Cy = |Ct - Cta|, and the wind speed difference value is Wy = |Wt - Wta|. Let the light intensity difference threshold be Iymax, the carbon dioxide concentration difference threshold be Cymax, and the wind speed difference threshold be Wymax. Compare Iy and Iymax, Cy and Cymax, Wy and Wymax respectively. If any one of the difference values is greater than the difference threshold, the pre-front meteorological data processing module records the positioning data of the corresponding positioning module of the mobile monitoring sensor module and packages and sends it to the monitoring server;

[0026] Step 4, the computer of the monitoring server conducts visual processing on the data transmitted by the pre-front meteorological data processing module and displays it through the display screen;

[0027] Step 5, when any one of the difference values in the data transmitted by the pre-front meteorological data processing module is greater than the difference threshold, the computer controls the audible and visual alarm to give an audible and visual alarm.

[0028] In summary, the present invention includes at least one of the following beneficial technical effects:

[0029] The present invention can provide an integrated agricultural meteorological environment monitoring system and a control method. Multiple portable climate sampling devices are used for irregular mobile monitoring, and then the two groups of monitoring data integrated into a network are pre-analyzed through multiple pre-weather data processing modules respectively. When the difference between the mobile monitoring value and the fixed monitoring value is greater than the set threshold, it means that the meteorological monitoring value at the location of the portable climate sampling device is quite different from the monitoring value of the nearest fixed meteorological monitoring station. After the staff learns about the above situation through the monitoring server, they need to conduct key individual monitoring on this location, solving the technical problem that fixed environmental monitoring cannot monitor the meteorological parameters of special locations. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 is a schematic diagram of the electrical component connection principle of the integrated agricultural meteorological environment monitoring system of the present invention;

[0031] Figure 2 is a schematic diagram of the layout principle of the integrated agricultural meteorological environment monitoring system of the present invention;

[0032] Figure 3 is a schematic diagram of the integrated self-organizing network communication connection principle between the portable climate sampling device and the fixed meteorological monitoring station of the integrated agricultural meteorological environment monitoring system of the invention.

[0033] DESCRIPTION OF THE REFERENCE NUMERALS: 1. Portable climate sampling device; 11. Mounting member; 12. Mobile monitoring sensor module; 121. Light sensor; 122. Wind speed sensor; 123. Carbon dioxide sensor; 13. Positioning module; 14. Power supply module; 141. Battery; 142. Photovoltaic film; 143. Photovoltaic charger; 2. Fixed meteorological monitoring station; 3. Integrated self-organizing network module; 31. Mobile LoRa module; 32. Fixed LoRa module; 33. Data processing chip; 4. Pre-weather data processing module; 5. Monitoring server; 51. Multi-channel data receiving module; 52. Computer; 53. Display screen; 54. Acoustic-optic alarm; 100. Safety helmet. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0034] The following further describes the present invention in detail with reference to the drawings.

[0035] The embodiment of the present invention discloses an integrated agricultural meteorological environment monitoring system and a control method.

[0036] Refer to Figures 1-3, Embodiment 1, an integrated agricultural meteorological environment monitoring system, comprising a plurality of portable climate sampling devices 1, a plurality of fixed meteorological monitoring stations 2, a plurality of integrated self-organizing network modules 3, a plurality of pre-position meteorological data processing modules 4, and a monitoring server 5. The portable climate sampling device 1 includes a mounting member 11, a mobile monitoring sensor module 12, and a positioning module 13. One side of the mounting member 11 is detachably mounted on the top surface of the safety helmet 100, and the mobile sensor module 12 and the positioning module 13 are detachably mounted on the other side of the mounting member 11. When the safety helmet 100 moves with the staff in the agricultural meteorological environment monitoring area, the mobile sensor module 12 monitors the meteorological conditions in the agricultural meteorological environment monitoring area. The meteorological monitoring is the monitoring of light parameters, wind parameters, and carbon dioxide parameters. The positioning module 13 monitors the position data of the current portable climate sampling device 1. The plurality of fixed meteorological monitoring stations 2 are evenly arranged in the agricultural meteorological environment monitoring area for meteorological monitoring, and an integrated self-organizing network is realized with the nearest fixed meteorological monitoring station 2 through the integrated self-organizing network module 3. The pre-position meteorological data processing module 4 is installed on the fixed meteorological monitoring station 2 and is communicatively connected to the integrated self-organizing network module 3 to collect the meteorological data of the fixed meteorological monitoring station 2 and the nearest portable climate sampling device 1 for pre-analysis and processing, and screen out the position data corresponding to the meteorological data with a difference value between the meteorological data of the portable climate sampling device 1 and the fixed meteorological monitoring station 2 greater than the set threshold. The monitoring server 5 is communicatively connected to the plurality of fixed meteorological monitoring stations 2 respectively.

[0037] A plurality of fixed meteorological monitoring stations 2 are evenly arranged in the agricultural meteorological environment monitoring area. Taking the fixed meteorological monitoring station 2 as a node, meteorological parameters are monitored. The monitoring values here can reflect the meteorological parameters within a small area, but in fact, they cannot fully represent the small area. There will still be some meteorological parameters at special locations that are quite different from the monitoring points. If only fixed monitoring is adopted, the meteorological parameters of these special locations cannot be obtained. Therefore, a plurality of portable climate sampling devices 1 are used for irregular mobile monitoring. Since parameters such as light and wind need to be collected, it is the most convenient to use the form of staff wearing hats for mobile monitoring. In theory, as long as the time is long enough, the meteorological data of any point within the area can be collected;

[0038] During the mobile monitoring process, multiple integrated ad hoc network modules 3 wirelessly network multiple portable climate sampling devices 1 with multiple fixed meteorological monitoring stations 2 in real time. For a portable climate sampling device 1, it only forms an integrated network with the nearest fixed meteorological monitoring station 2. As the moving distance of the portable climate sampling device 1 changes, it may form an integrated network with other fixed meteorological monitoring stations 2. In short, the data of its mobile monitoring will be within the coverage of the fixed meteorological monitoring stations 2. Then, the pre-analysis of the two groups of monitoring data of the integrated network is carried out through multiple front-end meteorological data processing modules 4 respectively. When there is a situation where the difference between the mobile monitoring value and the fixed monitoring value is greater than the set threshold, it means that the meteorological monitoring value at the location where the portable climate sampling device 1 is located is quite different from the monitoring value of the nearest fixed meteorological monitoring station 2. Therefore, the monitoring value of the fixed meteorological monitoring station 2 at this location cannot represent the meteorological monitoring value at this location. After the staff learns of the above situation through the monitoring server 5, they need to conduct key and separate monitoring of this location, solving the technical problem that fixed environmental monitoring cannot monitor meteorological parameters at special locations.

[0039] Example 2, the portable climate sampling device 1 further includes a power supply module 14. The power supply module 14 includes a battery 141, a photovoltaic film 142, and a photovoltaic charger 143. The battery 141 supplies power to each electrical component of the portable climate sampling device 1 respectively. The photovoltaic film 142 is wrapped and mounted on the brim surface of the safety helmet 100 and charges the battery 141 through the photovoltaic charger 143.

[0040] To ensure the cruising ability of the portable climate sampling device 1, while using the battery 141 for power supply, photovoltaic power generation is carried out using the photovoltaic film 142, and charging is carried out through the photovoltaic charger 143.

[0041] Example 3, the mobile sensor module 12 includes a light sensor 121, a wind speed sensor 122, and a carbon dioxide sensor 123. The data output terminals of the light sensor 121, the wind speed sensor 122, and the carbon dioxide sensor 123 are respectively communicatively connected to the integrated ad hoc network module 3.

[0042] Embodiment 4. The integrated ad-hoc network module 3 includes a mobile LoRa module 31, a fixed LoRa module 32, and a data processing chip 33. The mobile LoRa module 31 is arranged on the safety helmet 100, and its data input end is communicatively connected to the data output ends of the mobile monitoring sensor module 12 and the positioning module 13 respectively. The fixed LoRa module 32 is installed at the fixed meteorological monitoring station 2, and the fixed LoRa module 32 is wirelessly communicatively connected to the mobile LoRa modules of the integrated ad-hoc network module 3 with multiple mobile LoRa modules respectively. The data processing chip 33 is communicatively connected to the data output ends of the fixed meteorological monitoring station 2 and the fixed LoRa module 32 respectively, judges the positioning data transmitted by the mobile LoRa modules of the integrated ad-hoc network module 3 with multiple mobile LoRa modules, calculates the distances from the position data of the fixed meteorological monitoring station 2 respectively, and selects the meteorological monitoring data transmitted by the mobile LoRa module 31 with the shortest distance to transmit to the pre-frontal meteorological data processing module 4.

[0043] Embodiment 5. The pre-frontal meteorological data processing module 4 is a data analysis chip.

[0044] The integrated ad-hoc network module 3 realizes long-distance wireless communication based on the mobile LoRa module 31 and the fixed LoRa module 32, and the data processing chip 33 is used to process and analyze the positioning data in real time, and packs the meteorological data monitored by the mobile monitoring sensor module 12 and the meteorological data monitored by the fixed meteorological monitoring station 2 with the shortest real-time distance and sends them to the pre-frontal meteorological data processing module 4.

[0045] Embodiment 6. The monitoring server 5 includes a multi-channel data receiving module 51 and a computer 52. The multi-channel data receiving module 51 is communicatively connected to the data output ends of multiple pre-frontal meteorological data processing modules 4 respectively, and the data input end of the computer 52 is communicatively connected to the data output end of the multi-channel data receiving module 51.

[0046] Embodiment 7. The monitoring server 5 further includes a display screen 53, and the display screen 53 is communicatively connected to the data output end of the computer 52, and is used to visually display the monitoring data of multiple fixed meteorological monitoring stations 2, and correspondingly display the meteorological monitoring data of the fixed meteorological monitoring station 2 closest to the portable climate sampling device 1.

[0047] The multi-channel data receiving module 51 collects and transmits multi-channel meteorological monitoring data to the computer 52. The computer 52 can perform visual processing on the data and display it through the display screen 53. The staff can timely and comprehensively understand the agricultural meteorological monitoring parameters in the regional scope through the display screen 53, and can intuitively understand the special locations with large differences in meteorological data in time, arrange staff for special observation, and if necessary, arrange to set up additional fixed meteorological monitoring stations 2 separately at special locations.

[0048] Example 8. The monitoring server 5 further includes an audible and visual alarm 54. The computer 52 is connected to the audible and visual alarm 54 for control. When it is determined that the difference value of the meteorological data between the portable climate sampling device 1 and the fixed meteorological monitoring station 2 is greater than the set threshold value, the audible and visual alarm 54 is controlled to give an audible and visual alarm.

[0049] The activation of the audible and visual alarm 54 can remind the staff to pay attention to the meteorological parameters at abnormal special locations as soon as possible.

[0050] Example 9. An integrated agricultural meteorological environment monitoring and control method. An integrated agricultural meteorological environment monitoring system is used to monitor and control the agricultural meteorology within a regional scope. The specific scheme includes the following steps:

[0051] Step 1. Multiple staff members respectively wear safety helmets 100 installed with portable climate sampling devices 1 on their heads regularly to conduct mobile monitoring of the agricultural meteorology within the regional scope. At the same time, multiple fixed meteorological monitoring stations 2 conduct fixed monitoring at fixed positions;

[0052] Step 2. The data processing chip 33 respectively judges the positioning data transmitted by the mobile LoRa modules 31 of the integrated self-organizing network module 3 of multiple mobile LoRa modules, calculates the distances from the position data of the fixed meteorological monitoring stations 2 respectively, and selects the meteorological monitoring data transmitted by the mobile LoRa module 31 with the shortest distance to transmit to the pre-weather data processing module 4;

[0053] Step 3. The pre-weather data processing module 4 conducts pre-data analysis. Let the time point be t. The light intensity value of the meteorological data monitored by the mobile monitoring sensor module 12 is It, the real-time carbon dioxide concentration value is Ct, and the wind speed value is Wt. At the same time, the meteorological data monitored by the fixed meteorological monitoring station 2 are respectively recorded as Ita, Cta, and Wta. The difference values of different parameters are calculated respectively. The light intensity difference value is Iy = |It - Ita|, the carbon dioxide concentration difference value is Cy = |Ct - Cta|, and the wind speed difference value is Wy = |Wt - Wta|. Let the light intensity difference threshold be Iymax, the carbon dioxide concentration difference threshold be Cymax, and the wind speed difference threshold be Wymax. Iy and Iymax, Cy and Cymax, Wy and Wymax are respectively compared. If any one of the difference values is greater than the difference threshold, the pre-weather data processing module 4 records the positioning data of the corresponding positioning module 13 of the mobile monitoring sensor module 12 and packages and sends it to the monitoring server 5;

[0054] Step 4. The computer 52 of the monitoring server 5 conducts visualization processing on the data transmitted by the pre-weather data processing module 4 and displays it through the display screen 53;

[0055] Step 5, when any one of the difference values in the data transmitted by the preweather data processing module 4 is greater than the difference threshold, the computer 52 controls the audible and visual alarm 54 to give an audible and visual alarm.

[0056] The above are all preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby. Therefore, all equivalent changes made according to the structure, shape, and principle of the present invention should be covered within the protection scope of the present invention.

Claims

1. Integrated agricultural meteorological environment monitoring system, characterized in that: It includes multiple portable climate sampling devices (1), multiple fixed meteorological monitoring stations (2), multiple integrated self-organizing network modules (3), multiple front-end meteorological data processing modules (4) and a monitoring server (5). The portable climate sampling device (1) includes a mounting member (11), a mobile monitoring sensor module (12) and a positioning module (13). One side of the mounting member (11) is detachably installed on the top surface of the safety helmet (100), and the mobile sensor module (12) and the positioning module (13) are detachably installed on the other side of the mounting member (11). When the safety helmet (100) moves with the staff in the agricultural meteorological environment monitoring area, the mobile sensor module (12) conducts meteorological monitoring on the agricultural meteorological environment monitoring area. The meteorological monitoring is the monitoring of light parameters, wind parameters and carbon dioxide parameters. The positioning module (13) monitors the position data of the current portable climate sampling device (1). The multiple fixed meteorological monitoring stations (2) are evenly arranged in the agricultural meteorological environment monitoring area for meteorological monitoring, and realize an integrated self-organizing network with the nearest fixed meteorological monitoring station (2) through the integrated self-organizing network module (3). The front-end meteorological data processing module (4) is installed on the fixed meteorological monitoring station (2) and is communicatively connected with the integrated self-organizing network module (3), and collects and pre-analyzes and processes the meteorological data of the fixed meteorological monitoring station (2) and the nearest portable climate sampling device (1), and screens out the position data corresponding to the meteorological data with the difference value between the meteorological data of the portable climate sampling device (1) and the fixed meteorological monitoring station (2) greater than the set threshold. The monitoring server (5) is communicatively connected with the multiple fixed meteorological monitoring stations (2) respectively.

2. The integrated agricultural meteorological environment monitoring system according to claim 1, characterized in that: The portable climate sampling device (1) further includes a power supply module (14). The power supply module (14) includes a battery (141), a photovoltaic film (142) and a photovoltaic charger (143). The battery (141) supplies power to each electrical component of the portable climate sampling device (1). The photovoltaic film (142) is wrapped and mounted on the surface of the brim of the safety helmet (100) and charges the battery (141) through the photovoltaic charger (143).

3. The integrated agricultural meteorological environment monitoring system according to claim 2, characterized in that: The mobile sensor module (12) includes a light sensor (121), a wind speed sensor (122) and a carbon dioxide sensor (123). The data output ends of the light sensor (121), the wind speed sensor (122) and the carbon dioxide sensor (123) are communicatively connected with the integrated self-organizing network module (3) respectively.

4. The integrated agricultural meteorological environment monitoring system according to claim 1, characterized in that: The integrated ad hoc network module (3) includes a mobile LoRa module (31), a fixed LoRa module (32), and a data processing chip (33). The mobile LoRa module (31) is disposed on the safety helmet (100), and its data input end is communicatively connected to the data output ends of the mobile monitoring sensor module (12) and the positioning module (13). The fixed LoRa module (32) is installed at the fixed meteorological monitoring station (2), and the fixed LoRa module (32) is wirelessly communicatively connected to the mobile LoRa modules of multiple integrated ad hoc network modules (3). The data processing chip (33) is communicatively connected to the data output ends of the fixed meteorological monitoring station (2) and the fixed LoRa module (32), determines the positioning data transmitted by the mobile LoRa modules (31) of multiple integrated ad hoc network modules (3), calculates the distances from the position data of the fixed meteorological monitoring station (2) respectively, and selects the meteorological monitoring data transmitted by the mobile LoRa module (31) with the shortest distance to transmit to the pre - meteorological data processing module (4).

5. The integrated agricultural meteorological environment monitoring system according to claim 4, wherein: The pre - meteorological data processing module (4) is a data analysis chip.

6. The integrated agricultural meteorological environment monitoring system according to claim 4, characterized in that: The monitoring server (5) includes a multi - path data receiving module (51) and a computer (52). The multi - path data receiving module (51) is communicatively connected to the data output ends of multiple pre - meteorological data processing modules (4), and the data input end of the computer (52) is communicatively connected to the data output end of the multi - path data receiving module (51).

7. The integrated agricultural meteorological environment monitoring system according to claim 6, characterized in that: The monitoring server (5) further includes a display screen (53). The display screen (53) is communicatively connected to the data output end of the computer (52) and is used for visually displaying the monitoring data of multiple fixed meteorological monitoring stations (2) and correspondingly displaying the meteorological monitoring data of the portable climate sampling device (1) closest to the fixed meteorological monitoring station (2).

8. The integrated agricultural meteorological environment monitoring system according to claim 7, wherein: The monitoring server (5) further includes an audible and visual alarm (54). The computer (52) is connected to the audible and visual alarm (54) for control. When it is determined that the difference value between the meteorological data of the portable climate sampling device (1) and the fixed meteorological monitoring station (2) is greater than the set threshold, the audible and visual alarm (54) is controlled to give an audible and visual alarm.

9. Integrated agricultural meteorological environment monitoring and control method, characterized in that: Using the integrated agricultural meteorological environment monitoring system described in claim 8 to monitor and control the agricultural meteorology within a region, the specific scheme includes the following steps: Step 1, multiple staff members respectively wear safety helmets (100) installed with portable climate sampling devices (1) regularly to conduct mobile monitoring of the agricultural meteorology within the region, while multiple fixed meteorological monitoring stations (2) conduct fixed monitoring at fixed positions; Step 2, the data processing chip (33) respectively determines the positioning data transmitted by the mobile LoRa modules (31) of multiple integrated ad hoc network modules (3), calculates the distances from the position data of the fixed meteorological monitoring station (2) respectively, and selects the meteorological monitoring data transmitted by the mobile LoRa module (31) with the shortest distance to transmit to the pre - meteorological data processing module (4); Step 3: The pre - meteorological data processing module (4) conducts pre - analysis of data. Set the time point as t. The light intensity value of the meteorological data monitored by the mobile monitoring sensor module (12) is It, the real - time carbon dioxide concentration value is Ct, and the wind speed value is Wt. At the same time, the meteorological data monitored by the fixed meteorological monitoring station (2) are respectively recorded as Ita, Cta, and Wta. Calculate the difference values of different parameters. The light intensity difference value is Iy = |It - Ita|, the carbon dioxide concentration difference value is Cy = |Ct - Cta|, and the wind speed difference value is Wy = |Wt - Wta|. Set the light intensity difference threshold as Iymax, the carbon dioxide concentration difference threshold as Cymax, and the wind speed difference threshold as Wymax. Compare Iy and Iymax, Cy and Cymax, Wy and Wymax respectively. If any one of the difference values is greater than the difference threshold, the pre - meteorological data processing module (4) records the positioning data of the corresponding positioning module (13) of the mobile monitoring sensor module (12) and packs and sends it to the monitoring server (5). Step 4: The computer (52) of the monitoring server (5) conducts visual processing on the data transmitted by the pre - meteorological data processing module (4) and displays it through the display screen (53). Step 5: When any one of the difference values in the data transmitted by the pre - meteorological data processing module (4) is greater than the difference threshold, the computer (52) controls the sound and light alarm (54) to give a sound and light alarm.

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