Agricultural disaster analysis and early warning platform

Abstract

An agricultural disaster analysis and early warning platform disclosed by the present invention comprises a data set analysis and processing unit and a disaster prevention and control decision unit, and the data set analysis and processing unit is connected with a soil monitoring module, a wind speed monitoring module, a rainfall monitoring module, an air temperature and humidity monitoring module, an illumination duration monitoring module and a crop camera shooting analysis module. The wind speed monitoring module, the rainfall monitoring module, the air temperature and humidity monitoring module and the illumination duration monitoring module are matched to monitor meteorological data and judge farmland disasters according to the meteorological data; the soil monitoring module is used for monitoring data of soil; the crop shooting analysis module is used for shooting crops and extracting picture data so as to judge the growth condition of the crops and judge whether the crops have diseases or not according to the states of the crops; the disaster prevention and control decision-making unit is connected with a networking module, a farmland irrigation module, a pesticide spraying module and a sound-light alarm module.

Description

Technical Field

[0001] The present invention relates to the technical field of disaster early warning, and in particular to an agricultural disaster analysis and early warning platform. Background Art

[0002] Agricultural disasters can cause crops to not grow healthily or even die. Therefore, some large farms generally set up agricultural disaster early warning platforms to judge the risks of agricultural disasters in advance and ensure that crops can grow healthily.

[0003] A Chinese patent authorization announcement numbered CN110751412B discloses an agricultural meteorological disaster early warning method and system, which applies the method, and the method includes: meteorological data collection, obtaining meteorological data to generate meteorological grid data and forecast grid data for the day; agricultural meteorological disaster rule configuration, forming a series of meteorological disaster rule group configuration data for various crops and various growth and development stages according to national standards, industry standards, and agricultural meteorological disaster classification and disaster degree evaluation literature, and configuring them into a rule library; agricultural meteorological disaster early warning analysis, obtaining meteorological disaster rule group configuration data for crops in the current development stage according to the current development stage of the crop, which is used to determine whether the collected meteorological data and meteorological forecast data conform to meteorological disasters, and obtain meteorological disaster early warning information; meteorological disaster analysis result update, writing the early warning information into the meteorological disaster analysis results database, and checking all early warning information within the "validity period", and updating the early warning information status.

[0004] The agricultural meteorological disaster early warning method provided by the above patent can provide early warning for agricultural disasters, but the existing early warning method can only provide early warning for agricultural disasters. In practice, some agricultural disasters can be handled by control systems like some industrial disasters, such as drought and crop diseases. Such problems only require soil irrigation or spraying of pesticides on crops, while the existing pesticide disaster early warning platform cannot take corresponding measures after such disasters occur. Summary of the invention

[0005] The purpose of the present invention is to provide an agricultural disaster analysis and early warning platform, aiming to improve the problem that the existing early warning method can only warn of agricultural disasters but has no ability to deal with some disasters.

[0006] The present invention is achieved in that:

[0007] An agricultural disaster analysis and early warning platform includes a data set analysis and processing unit and a disaster prevention and control decision-making unit.

[0008] The data set analysis and processing unit is connected to a soil monitoring module, a wind speed monitoring module, a rainfall monitoring module, an air temperature and humidity monitoring module, a light duration monitoring module and a crop camera analysis module; the cooperation between the wind speed monitoring module, the rainfall monitoring module, the air temperature and humidity monitoring module and the light duration monitoring module is used to monitor meteorological data and determine farmland disasters based on meteorological data; the soil monitoring module is used to monitor various soil data; the crop camera analysis module is used to photograph crops and extract image data to determine the growth of crops and whether the crops have diseases based on the state of the crops

[0009] The disaster prevention and control decision-making unit is connected with a networking module, a farmland irrigation module, a pesticide spraying module and a sound and light alarm module; the networking module is used to ensure that the various components of the entire early warning platform are connected to the network; the farmland irrigation module is used to irrigate the farmland when the soil is short of water; the pesticide spraying module is used to spray pesticides to cure diseases caused by crops;

[0010] The disaster prevention and control decision-making unit and the data set analysis and processing unit are communicated and interconnected.

[0011] Preferably, there are multiple soil monitoring modules, which are installed at different locations in the farmland respectively; the soil monitoring modules include a soil moisture monitoring module, a soil organic matter monitoring module, a soil pH monitoring module and a soil heavy metal monitoring module; the soil moisture monitoring module is used to detect soil moisture; the soil organic matter monitoring module is used to monitor the soil organic matter component; the soil pH monitoring module is used to monitor the pH of the farmland; and the soil heavy metal monitoring module is used to monitor the heavy metal component of the soil.

[0012] Preferably, there are multiple wind speed monitoring modules, rainfall monitoring modules, air temperature and humidity monitoring modules, and light duration monitoring modules, and the multiple wind speed monitoring modules, rainfall monitoring modules, air temperature and humidity monitoring modules, and light duration monitoring modules are evenly distributed in various locations of the farmland; the wind speed monitoring modules, rainfall monitoring modules, air temperature and humidity monitoring modules, and light duration monitoring modules are interconnected and collect various data for the area to which the farmland belongs, and construct a curve of changes in meteorological conditions in the area to which the farmland belongs based on the data, which serves as the main data for judging agricultural disasters.

[0013] Preferably, the crop video analysis module includes multiple high-definition cameras, an image feature extraction module, an image data analysis module and a crop status analysis module; the multiple high-definition cameras are distributed at various locations in the farmland, and images of crops are collected by the high-definition cameras, so that the image feature extraction module and the image data analysis module can extract features from the images and analyze and process the extracted features, and then the crop status analysis module determines the growth status of the crops and whether the crops are diseased based on the data.

[0014] Preferably, the farmland irrigation module includes an irrigation water pump, an irrigation nozzle system and a water flow control module; the output end of the irrigation water pump is connected to the irrigation nozzle system for conveying water to the inside of the irrigation nozzle system, and the node positions of the irrigation nozzle system are all provided with water flow control modules for controlling the water flow sprayed at different positions of the farmland.

[0015] Preferably, the pesticide spraying module includes a pesticide dispensing module, a pesticide mixing device, a pesticide extraction pump and a pesticide spray pipe system. The pesticide dispensing module is connected to the pesticide mixing device and is used to inject the raw materials required for dispensing into the dispensing device for dispensing processing. The suction end of the pesticide extraction pump is connected to the pesticide mixing device, and the discharge end of the pesticide extraction pump is connected to the pesticide spray pipe system, which is used to transport the pesticide to the spray pipe for spraying operation.

[0016] Preferably, the farmland irrigation module and the soil monitoring module are connected to each other through the data set analysis and processing unit and the disaster prevention and control decision-making unit; the farmland irrigation module is in a non-working state when various farmland data are normal, and the triggering and closing of the farmland irrigation module need to refer to the minimum threshold and the maximum threshold set by the soil moisture, so the farmland irrigation module needs to be used in conjunction with the soil monitoring module, and the steps of triggering the farmland irrigation module are as follows:

[0017] S10, the early warning platform controls the soil monitoring module to monitor the soil moisture at various locations of the farmland, and feeds back the monitored data to the data set analysis and processing unit;

[0018] S20, the data set analysis and processing unit determines whether the soil moisture is lower than 50%. If the soil moisture is not lower than 50%, the soil moisture data will not be transmitted to the farmland irrigation module, and the soil monitoring module will only monitor the various data of the soil in real time normally; when the soil moisture data is lower than 50%, the data set analysis and processing unit transmits the data to the disaster prevention and control decision-making unit, and the disaster prevention and control decision-making unit controls the farmland irrigation module to irrigate the farmland;

[0019] S30, the farmland irrigation module controls the irrigation water pump to pump water and transport the water to the irrigation nozzle system, and then the irrigation nozzle system sprays the water on the soil of the farmland. The farmland irrigation module uses the water flow control module to control the water flow delivered to different locations according to the humidity data of different locations of the farmland;

[0020] S40. The data set analysis and processing unit determines whether the soil moisture is higher than 90%. If the soil moisture is not higher than 90%, the farmland irrigation module will continue to operate until the soil moisture is higher than 90%. The data set analysis and processing unit transmits the data to the disaster prevention and control decision-making unit, and the disaster prevention and control decision-making unit controls the farmland irrigation module to stop operating.

[0021] Preferably, whether the pesticide spraying module is operating needs to judge the growth of crops and the expression of crops, and judging the growth of crops and the expression of crops requires the use of data obtained by the crop camera analysis module. Therefore, the triggering of the pesticide spraying module needs to be used in conjunction with the crop camera analysis module, and the steps of triggering the pesticide spraying module are as follows:

[0022] S10, the early warning platform intermittently controls the crop camera analysis module to take pictures of the crops, and the crop camera analysis module extracts features from the collected images, and analyzes and compares the extracted image feature data to determine the growth status of the crops and whether the crops are diseased;

[0023] S20, transmitting the data determined in the above steps to the data set analysis processing unit. If it is determined that the crops are growing normally and the crops are not diseased, the crop camera analysis module will continue to intermittently camera the crops and perform data analysis; if it is determined that the crops are growing abnormally or the crops are diseased, the data set analysis processing unit will transmit the data to the disaster prevention and control decision-making unit;

[0024] S30, the disaster prevention and control decision-making unit controls the pesticide spraying module to prepare medicine according to the determined disease type or abnormal growth situation, and then the pesticide mixing equipment mixes the medicine, and the mixed pesticide is extracted by the pesticide extraction pump and transported to the spraying nozzle system for spraying operation.

[0025] Preferably, the data set analysis and processing unit also includes a weather forecast acquisition module, which has GPS integrated inside. Weather forecast acquisition module can be used to obtain weather forecast data from the Internet, and this data is used as auxiliary data for agricultural disaster warning to ensure the accuracy of disaster warning.

[0026] Preferably, the disaster prevention and control decision-making unit also includes a power supply module, which includes a photovoltaic power generation device and a power storage device. The electricity generated by the photovoltaic power generation device is supplied to the entire early warning platform. This not only ensures the real-time operation of the entire early warning platform, but also plays a role in rationally utilizing effective resources and achieving energy saving.

[0027] Compared with the prior art, the present invention has the following beneficial effects:

[0028] 1. The present invention monitors the state of farmland in real time through soil and meteorological data to ensure that an early warning is generated when an agricultural disaster is about to occur, so as to ensure that the staff can make emergency measures according to the disaster situation to reduce their own losses. At the same time, the early warning platform is also provided with a farmland irrigation module and a pesticide spraying module, which can irrigate or spray crops in time according to the disaster situation, ensuring the normal growth of crops.

[0029] 2. The present invention integrates a weather forecast acquisition module on the agricultural analysis and early warning platform. The weather forecast acquisition module can obtain weather forecasts from the Internet, and assist in determining the probability of agricultural disasters based on weather forecast data.

[0030] 3. The present invention integrates a power supply module on the agricultural analysis and early warning platform. The power supply module uses photovoltaic power generation to power the entire early warning platform, thereby ensuring the normal operation of the entire early warning platform and ensuring that early warnings can be issued in a timely manner when agricultural disasters occur. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a structural block diagram of the present invention as a whole;

[0032] Figure 2 It is a structural block diagram of the soil monitoring module of the present invention;

[0033] Figure 3 It is a structural block diagram of the crop imaging analysis module of the present invention;

[0034] Figure 4 It is a structural block diagram of the farmland irrigation module of the present invention;

[0035] Figure 5 It is a structural block diagram of the pesticide spraying module of the present invention;

[0036] Figure 6 It is a flow chart of the algorithm triggered by the farmland irrigation module of the present invention;

[0037] Figure 7 It is a flow chart of the algorithm triggered by the pesticide spraying module of the present invention. DETAILED DESCRIPTION

[0038] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0039] The following is a further description with reference to the accompanying drawings and specific embodiments:

[0040] Example 1

[0041] like Figure 1 As shown, an agricultural disaster analysis and early warning platform includes a data set analysis and processing unit and a disaster prevention and control decision unit, wherein the data set analysis and processing unit is connected to a soil monitoring module, a wind speed monitoring module, a rainfall monitoring module, an air temperature and humidity monitoring module, a light duration monitoring module and a crop camera analysis module; the cooperation between the wind speed monitoring module, the rainfall monitoring module, the air temperature and humidity monitoring module and the light duration monitoring module is used to monitor meteorological data, and determine farmland disasters based on meteorological data, so as to facilitate the auxiliary early warning platform to improve the accuracy of early warning; the soil monitoring module is used to monitor various soil data, so as to facilitate real-time uploading of various soil data and transmit various soil data to a designated location; the crop camera analysis module is used to photograph crops and extract image data, and can judge the growth of crops and whether crops have diseases according to the state of crops, and can also judge whether crops grow normally by comparing the previous and subsequent image data; the disaster prevention and control decision unit is connected to a networking module, a farmland irrigation module, a pesticide spraying module and an acoustic and visual alarm module; the networking module is used to ensure that various components of the entire early warning platform are connected to the network, so as to ensure the normal operation of the entire early warning platform. The farmland irrigation module is used to irrigate the farmland when the soil is short of water. It is convenient for irrigation when the soil moisture is too low and there is no sufficient rain to replenish the soil moisture in the future; the pesticide spraying module is used to spray pesticides to cure diseases of crops, ensuring that crops are treated symptomatically in time when diseases occur in crops; the disaster prevention and control decision-making unit and the data set analysis and processing unit communicate and interconnect with each other, so as to ensure the normal transmission of data.

[0042] like Figure 2As shown, there are multiple soil monitoring modules, which are installed at different positions of the farmland respectively; this structure is used to monitor the soil conditions at various positions of the farmland. The soil monitoring module includes a soil moisture monitoring module, a soil organic matter monitoring module, a soil pH monitoring module and a soil heavy metal monitoring module; the soil moisture monitoring module is used to detect soil moisture, which is convenient for determining whether it is in a drought state according to the soil moisture, and the soil moisture can be used to determine whether the soil needs to be irrigated; the soil organic matter monitoring module is used to monitor the soil organic matter component, which directly determines whether crops can grow healthily, and is of great significance; the soil pH monitoring module is used to monitor the pH of the farmland; the soil heavy metal monitoring module is used to monitor the heavy metal components of the soil, and the soil pH and heavy metals will directly affect the growth of crops and whether the fruits and vegetables produced are edible, so these soil data need to be detected.

[0043] like Figure 1 As shown, there are multiple wind speed monitoring modules, rainfall monitoring modules, air temperature and humidity monitoring modules, and light duration monitoring modules, and the multiple wind speed monitoring modules, rainfall monitoring modules, air temperature and humidity monitoring modules, and light duration monitoring modules are evenly distributed in various locations of the farmland; the wind speed monitoring modules, rainfall monitoring modules, air temperature and humidity monitoring modules, and light duration monitoring modules are interconnected and collect various data for the area to which the farmland belongs, and a curve of changes in meteorological conditions in the area to which the farmland belongs is constructed based on the data, which serves as the main data for determining agricultural disasters.

[0044] like Figure 3 As shown, the crop video analysis module includes multiple high-definition cameras, an image feature extraction module, an image data analysis module and a crop status analysis module; the multiple high-definition cameras are distributed at various locations in the farmland, and the images of the crops are collected by the high-definition cameras, so that the image feature extraction module and the image data analysis module can extract features from the images and analyze and process the extracted features, and then the crop status analysis module determines the growth status of the crops and whether the crops have diseases based on the data; so as to determine whether it is necessary to spray pesticides on the crops based on this data.

[0045] like Figure 4 As shown, the farmland irrigation module includes an irrigation water pump, an irrigation nozzle system and a water flow control module; the output end of the irrigation water pump is connected to the irrigation nozzle system to transport water to the inside of the irrigation nozzle system. This structure is convenient for extracting water and irrigating farmland. In addition, water flow control modules are provided at the node positions of the irrigation nozzle system to control the water flow sprayed at different positions of the farmland, so as to achieve the purpose of irrigating different positions with different water volumes.

[0046] like Figure 5As shown, the pesticide spraying module includes a pesticide dispensing module, a pesticide mixing device, a pesticide extraction pump and a spray pipe system. The pesticide dispensing module is connected to the pesticide mixing device to inject the raw materials required for dispensing into the dispensing device for dispensing, thereby facilitating uniform dispensing and mixing of the pesticides. The suction end of the pesticide extraction pump is connected to the pesticide mixing device, and the discharge end of the pesticide extraction pump is connected to the pesticide spray pipe system to transport the pesticide to the spray pipe for spraying, thereby achieving the purpose of spraying the crops.

[0047] like Figure 2 , Figure 4 and Figure 6 As shown in the figure, the farmland irrigation module is not working when all farmland data are normal, and the triggering and closing of the farmland irrigation module need to refer to the minimum and maximum thresholds set by soil moisture. Therefore, the farmland irrigation module needs to be used in conjunction with the soil monitoring module, and the steps for triggering the farmland irrigation module are as follows:

[0048] S10, the early warning platform controls the soil monitoring module to monitor the soil moisture at various locations of the farmland, and feeds the monitored data back to the data set analysis and processing unit,

[0049] S20, the data set analysis and processing unit determines whether the soil moisture is lower than 50%. If the soil moisture is not lower than 50%, the soil moisture data will not be transmitted to the farmland irrigation module, and the soil monitoring module will only monitor the various data of the soil in real time normally; when the soil moisture data is lower than 50%, the data set analysis and processing unit transmits the data to the disaster prevention and control decision-making unit, and the disaster prevention and control decision-making unit controls the farmland irrigation module to irrigate the farmland;

[0050] S30, the farmland irrigation module controls the irrigation water pump to pump water and transport the water to the irrigation nozzle system, and then the irrigation nozzle system sprays the water on the soil of the farmland. The farmland irrigation module uses the water flow control module to control the water flow delivered to different locations according to the humidity data of different locations of the farmland;

[0051] S40. The data set analysis and processing unit determines whether the soil moisture is higher than 90%. If the soil moisture is not higher than 90%, the farmland irrigation module will continue to operate until the soil moisture is higher than 90%. The data set analysis and processing unit transmits the data to the disaster prevention and control decision-making unit, and the disaster prevention and control decision-making unit controls the farmland irrigation module to stop operating.

[0052] like Figure 3 , Figure 4 and Figure 7As shown, whether the pesticide spraying module is operating needs to judge the growth of crops and the state of crops, and judging the growth of crops and the state of crops requires the use of data obtained by the crop camera analysis module. Therefore, the triggering of the pesticide spraying module needs to be used in conjunction with the crop camera analysis module, and the steps of triggering the pesticide spraying module are as follows:

[0053] S10, the early warning platform intermittently controls the crop camera analysis module to take pictures of the crops, and the crop camera analysis module extracts features from the collected images, and analyzes and compares the extracted image feature data to determine the growth status of the crops and whether the crops are diseased;

[0054] S20, transmitting the data determined in the above steps to the data set analysis processing unit. If it is determined that the crops are growing normally and the crops are not diseased, the crop camera analysis module will continue to intermittently camera the crops and perform data analysis; if it is determined that the crops are growing abnormally or the crops are diseased, the data set analysis processing unit will transmit the data to the disaster prevention and control decision-making unit;

[0055] S30, the disaster prevention and control decision-making unit controls the pesticide spraying module to prepare medicine according to the determined disease type or abnormal growth situation, and then the pesticide mixing equipment mixes the medicine, and the mixed pesticide is extracted by the pesticide extraction pump and transported to the spraying nozzle system for spraying operation.

[0056] Working principle: When in use, each module of the entire early warning platform will work normally. When it is determined that the soil moisture is too low or the crops are diseased or the crops are growing abnormally, the farmland irrigation module and the pesticide spraying module can be controlled to irrigate the soil or spray pesticides on the crops to achieve the purpose of disaster prevention. When the soil monitoring module detects that there are problems other than moisture in the soil, or the crops grow normally in a meteorological crisis, the data will be transmitted to the disaster prevention and control decision unit, and the disaster prevention and control decision unit controls the sound and light alarm module to issue an alarm to remind the staff to protect the crops in advance according to the disaster warning situation, thereby ensuring that the crops can grow normally in the subsequent time. Compared with the prior art, this application monitors the state of farmland in real time through soil and meteorological data to ensure that an early warning is generated when an agricultural disaster is about to occur, so as to ensure that the staff can make emergency disposal according to the disaster situation to reduce their own losses. At the same time, the early warning platform is also provided with a farmland irrigation module and a pesticide spraying module, which can irrigate or spray the crops in time according to the disaster situation, ensuring the normal growth of the crops.

[0057] Example 2

[0058] like Figure 1As shown, an agricultural disaster analysis and early warning platform includes a data set analysis and processing unit and a disaster prevention and control decision unit, wherein the data set analysis and processing unit is connected to a soil monitoring module, a wind speed monitoring module, a rainfall monitoring module, an air temperature and humidity monitoring module, a light duration monitoring module and a crop camera analysis module; the cooperation between the wind speed monitoring module, the rainfall monitoring module, the air temperature and humidity monitoring module and the light duration monitoring module is used to monitor meteorological data, and determine farmland disasters based on meteorological data, so as to facilitate the auxiliary early warning platform to improve the accuracy of early warning; the soil monitoring module is used to monitor various soil data, so as to facilitate real-time uploading of various soil data and transmit various soil data to a designated location; the crop camera analysis module is used to photograph crops and extract image data, and can judge the growth of crops and whether crops have diseases according to the state of crops, and can also judge whether crops grow normally by comparing the previous and subsequent image data; the disaster prevention and control decision unit is connected to a networking module, a farmland irrigation module, a pesticide spraying module and an acoustic and visual alarm module; the networking module is used to ensure that various components of the entire early warning platform are connected to the network, so as to ensure the normal operation of the entire early warning platform. The farmland irrigation module is used to irrigate the farmland when the soil is short of water. It is convenient for irrigation when the soil moisture is too low and there is no sufficient rain to replenish the soil moisture in the future; the pesticide spraying module is used to spray pesticides to cure diseases of crops, ensuring that crops are treated symptomatically in time when diseases occur in crops; the disaster prevention and control decision-making unit and the data set analysis and processing unit communicate and interconnect with each other, so as to ensure the normal transmission of data.

[0059] like Figure 2 As shown, there are multiple soil monitoring modules, which are installed at different positions of the farmland respectively; this structure is used to monitor the soil conditions at various positions of the farmland. The soil monitoring module includes a soil moisture monitoring module, a soil organic matter monitoring module, a soil pH monitoring module and a soil heavy metal monitoring module; the soil moisture monitoring module is used to detect soil moisture, which is convenient for determining whether it is in a drought state according to the soil moisture, and the soil moisture can be used to determine whether the soil needs to be irrigated; the soil organic matter monitoring module is used to monitor the soil organic matter component, which directly determines whether crops can grow healthily, and is of great significance; the soil pH monitoring module is used to monitor the pH of the farmland; the soil heavy metal monitoring module is used to monitor the heavy metal components of the soil, and the soil pH and heavy metals will directly affect the growth of crops and whether the fruits and vegetables produced are edible, so these soil data need to be detected.

[0060] like Figure 1As shown, there are multiple wind speed monitoring modules, rainfall monitoring modules, air temperature and humidity monitoring modules, and light duration monitoring modules, and the multiple wind speed monitoring modules, rainfall monitoring modules, air temperature and humidity monitoring modules, and light duration monitoring modules are evenly distributed in various locations of the farmland; the wind speed monitoring modules, rainfall monitoring modules, air temperature and humidity monitoring modules, and light duration monitoring modules are interconnected and collect various data for the area to which the farmland belongs, and a curve of changes in meteorological conditions in the area to which the farmland belongs is constructed based on the data, which serves as the main data for determining agricultural disasters.

[0061] like Figure 3 As shown, the crop video analysis module includes multiple high-definition cameras, an image feature extraction module, an image data analysis module and a crop status analysis module; the multiple high-definition cameras are distributed at various locations in the farmland, and the images of the crops are collected by the high-definition cameras, so that the image feature extraction module and the image data analysis module can extract features from the images and analyze and process the extracted features, and then the crop status analysis module determines the growth status of the crops and whether the crops have diseases based on the data; so as to determine whether it is necessary to spray pesticides on the crops based on this data.

[0062] like Figure 4 As shown, the farmland irrigation module includes an irrigation water pump, an irrigation nozzle system and a water flow control module; the output end of the irrigation water pump is connected to the irrigation nozzle system to transport water to the inside of the irrigation nozzle system. This structure is convenient for extracting water and irrigating farmland. In addition, water flow control modules are provided at the node positions of the irrigation nozzle system to control the water flow sprayed at different positions of the farmland, so as to achieve the purpose of irrigating different positions with different water volumes.

[0063] like Figure 5 As shown, the pesticide spraying module includes a pesticide dispensing module, a pesticide mixing device, a pesticide extraction pump and a spray pipe system. The pesticide dispensing module is connected to the pesticide mixing device to inject the raw materials required for dispensing into the dispensing device for dispensing, thereby facilitating uniform dispensing and mixing of the pesticides. The suction end of the pesticide extraction pump is connected to the pesticide mixing device, and the discharge end of the pesticide extraction pump is connected to the pesticide spray pipe system to transport the pesticide to the spray pipe for spraying, thereby achieving the purpose of spraying the crops.

[0064] like Figure 2 , Figure 4 and Figure 6 As shown in the figure, the farmland irrigation module is not working when all farmland data are normal, and the triggering and closing of the farmland irrigation module need to refer to the minimum and maximum thresholds set by soil moisture. Therefore, the farmland irrigation module needs to be used in conjunction with the soil monitoring module, and the steps for triggering the farmland irrigation module are as follows:

[0065] S10, the early warning platform controls the soil monitoring module to monitor the soil moisture at various locations of the farmland, and feeds the monitored data back to the data set analysis and processing unit,

[0066] S20, the data set analysis and processing unit determines whether the soil moisture is lower than 50%. If the soil moisture is not lower than 50%, the soil moisture data will not be transmitted to the farmland irrigation module, and the soil monitoring module will only monitor the various data of the soil in real time normally; when the soil moisture data is lower than 50%, the data set analysis and processing unit transmits the data to the disaster prevention and control decision-making unit, and the disaster prevention and control decision-making unit controls the farmland irrigation module to irrigate the farmland;

[0067] S30, the farmland irrigation module controls the irrigation water pump to pump water and transport the water to the irrigation nozzle system, and then the irrigation nozzle system sprays the water on the soil of the farmland. The farmland irrigation module uses the water flow control module to control the water flow delivered to different locations according to the humidity data of different locations of the farmland;

[0068] S40. The data set analysis and processing unit determines whether the soil moisture is higher than 90%. If the soil moisture is not higher than 90%, the farmland irrigation module will continue to operate until the soil moisture is higher than 90%. The data set analysis and processing unit transmits the data to the disaster prevention and control decision-making unit, and the disaster prevention and control decision-making unit controls the farmland irrigation module to stop operating.

[0069] like Figure 3 , Figure 4 and Figure 7 As shown, whether the pesticide spraying module is operating needs to judge the growth of crops and the state of crops, and judging the growth of crops and the state of crops requires the use of data obtained by the crop camera analysis module. Therefore, the triggering of the pesticide spraying module needs to be used in conjunction with the crop camera analysis module, and the steps of triggering the pesticide spraying module are as follows:

[0070] S10, the early warning platform intermittently controls the crop camera analysis module to take pictures of the crops, and the crop camera analysis module extracts features from the collected images, and analyzes and compares the extracted image feature data to determine the growth status of the crops and whether the crops are diseased;

[0071] S20, transmitting the data determined in the above steps to the data set analysis processing unit. If it is determined that the crops are growing normally and the crops are not diseased, the crop camera analysis module will continue to intermittently camera the crops and perform data analysis; if it is determined that the crops are growing abnormally or the crops are diseased, the data set analysis processing unit will transmit the data to the disaster prevention and control decision-making unit;

[0072] S30, the disaster prevention and control decision-making unit controls the pesticide spraying module to prepare medicine according to the determined disease type or abnormal growth situation, and then the pesticide mixing equipment mixes the medicine, and the mixed pesticide is extracted by the pesticide extraction pump and transported to the spraying nozzle system for spraying operation.

[0073] like Figure 1 As shown, the data set analysis and processing unit also includes a weather forecast acquisition module, which has GPS integrated inside. The weather forecast acquisition module can obtain weather forecast data from the Internet, and use this data as auxiliary data for agricultural disaster warning to ensure the accuracy of disaster warning.

[0074] Example 3

[0075] like Figure 1 As shown, an agricultural disaster analysis and early warning platform includes a data set analysis and processing unit and a disaster prevention and control decision unit, wherein the data set analysis and processing unit is connected to a soil monitoring module, a wind speed monitoring module, a rainfall monitoring module, an air temperature and humidity monitoring module, a light duration monitoring module and a crop camera analysis module; the cooperation between the wind speed monitoring module, the rainfall monitoring module, the air temperature and humidity monitoring module and the light duration monitoring module is used to monitor meteorological data, and determine farmland disasters based on meteorological data, so as to facilitate the auxiliary early warning platform to improve the accuracy of early warning; the soil monitoring module is used to monitor various soil data, so as to facilitate real-time uploading of various soil data and transmit various soil data to a designated location; the crop camera analysis module is used to photograph crops and extract image data, so as to judge the growth of crops and whether crops have diseases according to the state of crops, and to judge whether crops grow normally by comparing the previous and subsequent image data; the disaster prevention and control decision unit is connected to a networking module, a farmland irrigation module, a pesticide spraying module and an acoustic and visual alarm module; the networking module is used to ensure that various components of the entire early warning platform are connected to the network, so as to ensure the normal operation of the entire early warning platform. The farmland irrigation module is used to irrigate the farmland when the soil is short of water. It is convenient for irrigation when the soil moisture is too low and there is no sufficient rain to replenish the soil moisture in the future; the pesticide spraying module is used to spray pesticides to cure diseases of crops, ensuring that crops are treated symptomatically in time when diseases occur in crops; the disaster prevention and control decision-making unit and the data set analysis and processing unit communicate and interconnect with each other, so as to ensure the normal transmission of data.

[0076] like Figure 2As shown, there are multiple soil monitoring modules, which are installed at different positions of the farmland respectively; this structure is used to monitor the soil conditions at various positions of the farmland. The soil monitoring module includes a soil moisture monitoring module, a soil organic matter monitoring module, a soil pH monitoring module and a soil heavy metal monitoring module; the soil moisture monitoring module is used to detect soil moisture, which is convenient for determining whether it is in a drought state according to the soil moisture, and the soil moisture can be used to determine whether the soil needs to be irrigated; the soil organic matter monitoring module is used to monitor the soil organic matter component, which directly determines whether crops can grow healthily, and is of great significance; the soil pH monitoring module is used to monitor the pH of the farmland; the soil heavy metal monitoring module is used to monitor the heavy metal components of the soil, and the soil pH and heavy metals will directly affect the growth of crops and whether the fruits and vegetables produced are edible, so these soil data need to be detected.

[0077] like Figure 1 As shown, there are multiple wind speed monitoring modules, rainfall monitoring modules, air temperature and humidity monitoring modules, and light duration monitoring modules, and the multiple wind speed monitoring modules, rainfall monitoring modules, air temperature and humidity monitoring modules, and light duration monitoring modules are evenly distributed in various locations of the farmland; the wind speed monitoring modules, rainfall monitoring modules, air temperature and humidity monitoring modules, and light duration monitoring modules are interconnected and collect various data for the area to which the farmland belongs, and a curve of changes in meteorological conditions in the area to which the farmland belongs is constructed based on the data, which serves as the main data for determining agricultural disasters.

[0078] like Figure 3 As shown, the crop video analysis module includes multiple high-definition cameras, an image feature extraction module, an image data analysis module and a crop status analysis module; the multiple high-definition cameras are distributed at various locations in the farmland, and the images of the crops are collected by the high-definition cameras, so that the image feature extraction module and the image data analysis module can extract features from the images and analyze and process the extracted features, and then the crop status analysis module determines the growth status of the crops and whether the crops have diseases based on the data; so as to determine whether it is necessary to spray pesticides on the crops based on this data.

[0079] like Figure 4 As shown, the farmland irrigation module includes an irrigation water pump, an irrigation nozzle system and a water flow control module; the output end of the irrigation water pump is connected to the irrigation nozzle system to transport water to the inside of the irrigation nozzle system. This structure is convenient for extracting water and irrigating farmland. In addition, water flow control modules are provided at the node positions of the irrigation nozzle system to control the water flow sprayed at different positions of the farmland, so as to achieve the purpose of irrigating different positions with different water volumes.

[0080] like Figure 5As shown, the pesticide spraying module includes a pesticide dispensing module, a pesticide mixing device, a pesticide extraction pump and a spray pipe system. The pesticide dispensing module is connected to the pesticide mixing device to inject the raw materials required for dispensing into the dispensing device for dispensing, thereby facilitating uniform dispensing and mixing of the pesticides. The suction end of the pesticide extraction pump is connected to the pesticide mixing device, and the discharge end of the pesticide extraction pump is connected to the pesticide spray pipe system to transport the pesticide to the spray pipe for spraying, thereby achieving the purpose of spraying the crops.

[0081] like Figure 2 , Figure 4 and Figure 6 As shown in the figure, the farmland irrigation module is not working when all farmland data are normal, and the triggering and closing of the farmland irrigation module need to refer to the minimum and maximum thresholds set by soil moisture. Therefore, the farmland irrigation module needs to be used in conjunction with the soil monitoring module, and the steps for triggering the farmland irrigation module are as follows:

[0082] S10, the early warning platform controls the soil monitoring module to monitor the soil moisture at various locations of the farmland, and feeds the monitored data back to the data set analysis and processing unit,

[0083] S20, the data set analysis and processing unit determines whether the soil moisture is lower than 50%. If the soil moisture is not lower than 50%, the soil moisture data will not be transmitted to the farmland irrigation module, and the soil monitoring module will only monitor the various data of the soil in real time normally; when the soil moisture data is lower than 50%, the data set analysis and processing unit transmits the data to the disaster prevention and control decision-making unit, and the disaster prevention and control decision-making unit controls the farmland irrigation module to irrigate the farmland;

[0084] S30, the farmland irrigation module controls the irrigation water pump to pump water and transport the water to the irrigation nozzle system, and then the irrigation nozzle system sprays the water on the soil of the farmland. The farmland irrigation module uses the water flow control module to control the water flow delivered to different locations according to the humidity data of different locations of the farmland;

[0085] S40. The data set analysis and processing unit determines whether the soil moisture is higher than 90%. If the soil moisture is not higher than 90%, the farmland irrigation module will continue to operate until the soil moisture is higher than 90%. The data set analysis and processing unit transmits the data to the disaster prevention and control decision-making unit, and the disaster prevention and control decision-making unit controls the farmland irrigation module to stop operating.

[0086] like Figure 3 , Figure 4 and Figure 7As shown, whether the pesticide spraying module is operating needs to judge the growth of crops and the state of crops, and judging the growth of crops and the state of crops requires the use of data obtained by the crop camera analysis module. Therefore, the triggering of the pesticide spraying module needs to be used in conjunction with the crop camera analysis module, and the steps of triggering the pesticide spraying module are as follows:

[0087] S10, the early warning platform intermittently controls the crop camera analysis module to take pictures of the crops, and the crop camera analysis module extracts features from the collected images, and analyzes and compares the extracted image feature data to determine the growth status of the crops and whether the crops are diseased;

[0088] S20, transmitting the data determined in the above steps to the data set analysis processing unit. If it is determined that the crops are growing normally and the crops are not diseased, the crop camera analysis module will continue to intermittently camera the crops and perform data analysis; if it is determined that the crops are growing abnormally or the crops are diseased, the data set analysis processing unit will transmit the data to the disaster prevention and control decision-making unit;

[0089] S30, the disaster prevention and control decision-making unit controls the pesticide spraying module to prepare medicine according to the determined disease type or abnormal growth situation, and then the pesticide mixing equipment mixes the medicine, and the mixed pesticide is extracted by the pesticide extraction pump and transported to the spraying nozzle system for spraying operation.

[0090] like Figure 1 As shown, the data set analysis and processing unit also includes a weather forecast acquisition module, which has GPS integrated inside. The weather forecast acquisition module can obtain weather forecast data from the Internet, and use this data as auxiliary data for agricultural disaster warning to ensure the accuracy of disaster warning.

[0091] like Figure 1 As shown, the disaster prevention and control decision-making unit also includes a power supply module, which includes photovoltaic power generation equipment and power storage equipment. The electricity generated by the photovoltaic power generation equipment is supplied to the entire early warning platform, which not only ensures the real-time operation of the entire early warning platform, but also plays a role in rationally utilizing effective resources and achieving energy saving.

[0092] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An agricultural disaster analysis and early warning platform, including a data set analysis and processing unit and a disaster prevention and control decision-making unit, characterized in that: The data set analysis and processing unit is connected to a soil monitoring module, a wind speed monitoring module, a rainfall monitoring module, an air temperature and humidity monitoring module, a light duration monitoring module and a crop camera analysis module; the cooperation between the wind speed monitoring module, the rainfall monitoring module, the air temperature and humidity monitoring module and the light duration monitoring module is used to monitor meteorological data and determine farmland disasters based on the meteorological data; the soil monitoring module is used to monitor various soil data; the crop camera analysis module is used to photograph crops and extract image data to determine the growth of crops and whether the crops have diseases based on the state of the crops; The disaster prevention and control decision-making unit is connected with a networking module, a farmland irrigation module, a pesticide spraying module and a sound and light alarm module; the networking module is used to ensure that the various components of the entire early warning platform are connected to the network; the farmland irrigation module is used to irrigate the farmland when the soil is short of water; the pesticide spraying module is used to spray pesticides to cure diseases caused by crops; The disaster prevention and control decision-making unit and the data set analysis and processing unit are communicated and interconnected.

2. The agricultural disaster analysis and early warning platform according to claim 1, characterized in that: There are multiple soil monitoring modules, which are installed at different positions of the farmland respectively; the soil monitoring modules include a soil moisture monitoring module, a soil organic matter monitoring module, a soil pH monitoring module and a soil heavy metal monitoring module; the soil moisture monitoring module is used to detect soil moisture; the soil organic matter monitoring module is used to monitor the soil organic matter component; the soil pH monitoring module is used to monitor the pH of the farmland; the soil heavy metal monitoring module is used to monitor the heavy metal component of the soil.

3. The agricultural disaster analysis and early warning platform according to claim 1 is characterized in that: The wind speed monitoring module, rainfall monitoring module, air temperature and humidity monitoring module and light duration monitoring module are each provided with a plurality, and the plurality of wind speed monitoring modules, rainfall monitoring modules, air temperature and humidity monitoring modules and light duration monitoring modules are evenly distributed at various positions of the farmland; the wind speed monitoring module, rainfall monitoring module, air temperature and humidity monitoring module and light duration monitoring module are interconnected and collect various data for the area to which the farmland belongs, and a curve of changes in meteorological conditions in the area to which the farmland belongs is constructed based on the data, so as to serve as the main data for determining agricultural disasters.

4. The agricultural disaster analysis and early warning platform according to claim 1, characterized in that: The crop video analysis module includes multiple high-definition cameras, an image feature extraction module, an image data analysis module and a crop status analysis module; the multiple high-definition cameras are distributed at various locations in the farmland, and images of crops are collected by the high-definition cameras, so that the image feature extraction module and the image data analysis module can extract features from the images and analyze and process the extracted features, and then the crop status analysis module determines the growth status of the crops and whether the crops have diseases based on the data.

5. The agricultural disaster analysis and early warning platform according to claim 2, characterized in that: The farmland irrigation module includes an irrigation water pump, an irrigation nozzle system and a water flow control module; the output end of the irrigation water pump is connected to the irrigation nozzle system to transport water to the inside of the irrigation nozzle system, and the node positions of the irrigation nozzle system are all provided with water flow control modules to control the water flow sprayed at different positions of the farmland.

6. The agricultural disaster analysis and early warning platform according to claim 4, characterized in that: The pesticide spraying module includes a pesticide dispensing module, a pesticide mixing device, a pesticide extraction pump and a pesticide spray pipe system. The pesticide dispensing module is connected to the pesticide mixing device and is used to inject the raw materials required for dispensing into the dispensing device for dispensing processing. The suction end of the pesticide extraction pump is connected to the pesticide mixing device, and the discharge end of the pesticide extraction pump is connected to the pesticide spray pipe system, which is used to transport the pesticide to the spray pipe for spraying operation.

7. The agricultural disaster analysis and early warning platform according to claim 5, characterized in that: The farmland irrigation module and the soil monitoring module are connected to each other through the data set analysis and processing unit and the disaster prevention and control decision-making unit. The farmland irrigation module is used in conjunction with the soil monitoring module, and the steps of triggering the farmland irrigation module are as follows: S10, the early warning platform controls the soil monitoring module to monitor the soil moisture at various locations of the farmland, and feeds back the monitored data to the data set analysis and processing unit; S20, the data set analysis and processing unit determines whether the soil moisture is lower than 50%. If the soil moisture is not lower than 50%, the soil moisture data will not be transmitted to the farmland irrigation module, and the soil monitoring module will only monitor the various data of the soil in real time normally; when the soil moisture data is lower than 50%, the data set analysis and processing unit transmits the data to the disaster prevention and control decision-making unit, and the disaster prevention and control decision-making unit controls the farmland irrigation module to irrigate the farmland; S30, the farmland irrigation module controls the irrigation water pump to pump water and transport the water to the irrigation nozzle system, and then the irrigation nozzle system sprays the water on the soil of the farmland. The farmland irrigation module uses the water flow control module to control the water flow delivered to different locations according to the humidity data of different locations of the farmland; S40. The data set analysis and processing unit determines whether the soil moisture is higher than 90%. If the soil moisture is not higher than 90%, the farmland irrigation module will continue to operate until the soil moisture is higher than 90%. The data set analysis and processing unit transmits the data to the disaster prevention and control decision-making unit, and the disaster prevention and control decision-making unit controls the farmland irrigation module to stop operating.

8. The agricultural disaster analysis and early warning platform according to claim 6, characterized in that: Whether the pesticide spraying module is operating needs to judge the growth of crops and the state of crops, and judging the growth of crops and the state of crops requires the use of data obtained by the crop camera analysis module. Therefore, the triggering of the pesticide spraying module needs to be used in conjunction with the crop camera analysis module, and the steps of triggering the pesticide spraying module are as follows: S10, the early warning platform intermittently controls the crop camera analysis module to take pictures of the crops, and the crop camera analysis module extracts features from the collected images, and analyzes and compares the extracted image feature data to determine the growth status of the crops and whether the crops are diseased; S20, transmitting the data determined in the above steps to the data set analysis processing unit. If it is determined that the crops are growing normally and the crops are not diseased, the crop camera analysis module will continue to intermittently camera the crops and perform data analysis; if it is determined that the crops are growing abnormally or the crops are diseased, the data set analysis processing unit will transmit the data to the disaster prevention and control decision-making unit; S30, the disaster prevention and control decision-making unit controls the pesticide spraying module to prepare medicine according to the determined disease type or abnormal growth situation, and then the pesticide mixing equipment mixes the medicine, and the mixed pesticide is extracted by the pesticide extraction pump and transported to the spraying nozzle system for spraying operation.

9. An agricultural disaster analysis and early warning platform according to any one of claims 1 to 8, characterized in that: The data set analysis and processing unit also includes a weather forecast acquisition module, which has a GPS integrated inside. The weather forecast acquisition module can obtain weather forecast data from the Internet and use this data as auxiliary data for agricultural disaster warning to ensure the accuracy of disaster warning.

10. An agricultural disaster analysis and early warning platform according to any one of claims 1 to 8, characterized in that: The disaster prevention and control decision-making unit also includes a power supply module, which includes photovoltaic power generation equipment and power storage equipment. The electricity generated by the photovoltaic power generation equipment is supplied to the entire early warning platform, which not only ensures the real-time operation of the entire early warning platform, but also plays a role in rationally utilizing effective resources and achieving energy saving.

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