CN110850775A - Environmental data wireless monitoring system for intelligent agriculture and working method thereof - Google Patents
Environmental data wireless monitoring system for intelligent agriculture and working method thereof Download PDFInfo
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- CN110850775A CN110850775A CN201911140698.6A CN201911140698A CN110850775A CN 110850775 A CN110850775 A CN 110850775A CN 201911140698 A CN201911140698 A CN 201911140698A CN 110850775 A CN110850775 A CN 110850775A
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
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Abstract
The invention relates to the technical field of intelligent agriculture internet of things, in particular to an environmental data wireless monitoring system for intelligent agriculture and a working method thereof, and the environmental data wireless monitoring system comprises a background server, a base station, a plurality of sensor terminals arranged in a farmland and camera shooting components arranged on ridges of the farmland, wherein the background server can be in wireless communication connection with the base station, the base station can be in wireless communication connection with the sensor terminals, the base station is used for checking and acquiring terminal unique identification information and environmental record data from the sensor terminals, binding and uploading the terminal unique identification information and the environmental record data to the background server, an image calling and comparing system is used for acquiring a synthesized photo, and searching matched data from a large database through the color of a plant in the photo, the height of the plant and the polypide on the plant, so as to analyze the growth period of the plant, the degree of pathological changes of leaves, the growth rule of insect pests and the conditions of insect pests.
Description
Technical Field
The invention relates to the technical field of intelligent agriculture internet of things, in particular to an environmental data wireless monitoring system for intelligent agriculture and a working method thereof.
Background
Wisdom agriculture is the advanced application of internet of things in modern agriculture field, namely uses sensor and software to carry out remote monitoring to control agricultural production through mobile platform or computer platform, make traditional agriculture more have "wisdom". In addition to accurate sensing, control and decision management, the intelligent agriculture also comprises contents in aspects of agricultural electronic commerce, food source tracing and anti-counterfeiting, agricultural leisure travel, agricultural information service and the like in a broad sense. The current intelligent agricultural internet of things technology mainly comprises a monitoring function system, a monitoring function system and a real-time image and video monitoring function system.
However, these sensor terminals generally need to be discretely arranged in the field, in order to avoid the trouble of power supply and communication wiring, a battery is generally adopted for power supply, a wireless internet of things is utilized for data uploading, meanwhile, a remote monitoring background is generally arranged close to a fixed point (such as a farm or an office building in a town), and the distance from the remote monitoring background to an agricultural field may reach tens of kilometers, so that the requirements of energy conservation of the sensor terminals and centralized acquisition and remote transmission of sensing data inevitably exist, meanwhile, the existing functions are relatively single, and a wireless environmental data monitoring system capable of remote transmission and having more comprehensive functions needs to be designed.
Disclosure of Invention
In order to solve the above problems, the present invention provides a wireless environmental data monitoring system for smart agriculture and a working method thereof.
The technical problem to be solved by the invention is realized by adopting the following technical scheme:
the invention provides an environmental data wireless monitoring system for intelligent agriculture, which comprises a background server, a base station, a plurality of sensor terminals and camera shooting components, wherein the sensor terminals are arranged in a farmland, the camera shooting components are arranged on ridges of the farmland, the background server can be in wireless communication connection with the base station, the base station can be in wireless communication connection with the sensor terminals, and the base station is used for checking and acquiring terminal unique identification information and environmental record data from the sensor terminals and binding and uploading the terminal unique identification information and the environmental record data to the background server;
the sensor terminal comprises a wireless transceiver module and an environment sensor, wherein the wireless transceiver module is used for wirelessly transmitting information acquired by the environment sensor to a base station, and the environment sensor comprises a soil temperature sensor, a soil humidity sensor, a soil pH value sensor, a light intensity sensor, an air temperature and humidity sensor, a carbon dioxide sensor and a PM2.5 sensor so as to obtain soil temperature, soil humidity, soil pH value, light intensity, air temperature and humidity, carbon dioxide and PM 2.5;
the camera shooting assembly comprises a camera and an image processing module, wherein the camera comprises an infrared camera, a color camera and a black and white camera, the image processing module is used for synthesizing and processing photos shot by the infrared camera, the color camera and the black and white camera, the synthesized photos are transmitted to the base station through the wireless transceiving module, the colors of crops are captured through the color camera, and the contour details of the crops are accurately captured through the black and white camera so as to obtain clearer and more accurate photos;
the base station is internally provided with an image calling and comparing system based on a big data system, the image calling and comparing system is used for obtaining the synthesized picture, and matched data are searched from a big database through the color of the plant, the height of the plant and the insect body on the plant in the picture so as to analyze the growth period, the leaf lesion degree, the insect pest growth rule and the insect pest situation of the plant.
Preferably, the base station displays the occurrence trend and situation of the diseases and insect pests in the whole area by technical means of spot distribution, regional distribution and the like through analysis and comparison of the disease and insect pest data based on a GIS system and local geographic information spatial data; data of pest detection, prediction, prevention and control and the like are subjected to interpolation analysis on a provincial map in a form of a Flex vector diagram, and occurrence conditions of diseases and pests of the whole province are displayed in a form of a color gradation diagram, so that the display result of the data is more visual.
Preferably, the system also comprises an expert decision system, wherein the expert decision system adopts a fuzzy neural network prediction model to establish a pest control expert system; combining an artificial neural network with a fuzzy system, and establishing a crop pest situation prediction model based on the fuzzy neural network; and compares the model to a prediction model based on a BP neural network algorithm. The result shows that the prediction accuracy of the prediction model of the fuzzy neural network is higher, and the training speed is faster; the model provides a new method for predicting the insect pest situation of crops, and an expert system can automatically make decision, analyze and prevent measures based on the prediction result of the prediction model on the distribution of time, degree and spatial position of grape pest occurrence.
Preferably, the system also comprises a short message alarm module, wherein the short message alarm module sends an alarm short message to a preset number through a 3GPP network module.
Preferably, the background server adopts dual-security login of the USBKey and the login password to ensure the security of system login and the security of authority management; the SSL server certificate and the HTTPS communication protocol are adopted to ensure the safety of the transmission of the service data on the Internet.
The invention also provides a working method of the environment data wireless monitoring system for intelligent agriculture, which comprises the following steps:
step 1, the sensor terminal works all day long, and the camera shooting component acts in a time-sharing mode, wherein the infrared camera works at night and sleeps in the day, and the color camera and the black-and-white camera work in the day and sleeps at night;
step 2, the wireless transceiver module wirelessly transmits information collected by the environment sensor to a base station, wherein the information comprises soil temperature, soil humidity, soil pH value, light intensity, air temperature and humidity, carbon dioxide and PM 2.5;
step 3, searching matched data from a large database through the color of the plant, the height of the plant and the insect body on the plant in the picture by an image retrieval and comparison system built in the base station so as to analyze the growth period, the leaf lesion degree, the insect pest growth rule and the insect pest situation of the plant;
step 4, the base station acquires terminal unique identification information and environment record data from the sensor terminal, binds and uploads the terminal unique identification information and the environment record data to the background server, and simultaneously sends the growth period, the leaf lesion degree, the insect pest growth rule and the insect pest condition of the analyzed plant to the background server for storage;
step 5, after the information wirelessly transmitted to the base station and collected by the environment sensor exceeds a threshold value, generating an alarm short message to a preset number through a short message alarm module by using a 3GPP network;
and 6, logging in a background server by a user through the USBKey and the login password to acquire the growth vigor of the crops in the farmland and the pest and disease damage conditions.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention provides an intelligent agricultural environment data wireless monitoring system capable of carrying out image adoption through an infrared camera, a color camera and a black and white camera, wherein the color camera is used for capturing the color of crops, the black and white camera is used for accurately capturing the outline details of the crops to obtain clearer and more accurate photos, and the infrared camera can be used for shooting the track of an animal through the temperature imaging principle at night, so that a user is reminded of paying attention to driving, and the phenomenon that the animal damages the growth of plants is avoided;
2. the base station displays the occurrence trend and situation of the diseases and insect pests in the whole area by technical means of spot distribution, regional distribution and the like through analysis and comparison of the disease and insect pest data based on a GIS system and local geographic information spatial data; data of pest and disease detection and prediction, prevention and control and the like are subjected to interpolation analysis on a provincial map in the form of a Flex vector diagram, and occurrence conditions of diseases and pests of the whole province are displayed in the form of a color gradation diagram, so that the display result of the data is more visual;
3. and the image calling and comparing system is used for obtaining the synthesized picture, and searching matched data from the large database through the color of the plant, the height of the plant and the insect body on the plant in the picture so as to analyze the growth period, the leaf lesion degree, the insect pest growth rule and the insect pest condition of the plant.
Detailed Description
The following will clearly and completely describe the technical solutions in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
A wireless environmental data monitoring system for smart agriculture comprises a background server, a base station, a plurality of sensor terminals and camera modules, wherein the sensor terminals are arranged in a farmland, the camera modules are arranged on ridges of the farmland, the background server can be in wireless communication connection with the base station, the base station can be in wireless communication connection with the sensor terminals, and the base station is used for checking and acquiring terminal unique identification information and environmental record data from the sensor terminals and binding and uploading the terminal unique identification information and the environmental record data to the background server;
the sensor terminal comprises a wireless transceiver module and an environment sensor, wherein the wireless transceiver module is used for wirelessly transmitting information acquired by the environment sensor to a base station, and the environment sensor comprises a soil temperature sensor, a soil humidity sensor, a soil pH value sensor, a light intensity sensor, an air temperature and humidity sensor, a carbon dioxide sensor and a PM2.5 sensor so as to obtain soil temperature, soil humidity, soil pH value, light intensity, air temperature and humidity, carbon dioxide and PM 2.5;
the camera shooting assembly comprises a camera and an image processing module, wherein the camera comprises an infrared camera, a color camera and a black and white camera, the image processing module is used for synthesizing and processing photos shot by the infrared camera, the color camera and the black and white camera, the synthesized photos are transmitted to the base station through the wireless transceiving module, the colors of crops are captured through the color camera, and the contour details of the crops are accurately captured through the black and white camera so as to obtain clearer and more accurate photos;
the base station is internally provided with an image calling and comparing system based on a big data system, the image calling and comparing system is used for obtaining the synthesized picture, and matched data are searched from a big database through the color of the plant, the height of the plant and the insect body on the plant in the picture so as to analyze the growth period, the leaf lesion degree, the insect pest growth rule and the insect pest situation of the plant.
As an implementation mode of the invention, the base station displays the occurrence trend and situation of the diseases and insect pests in the whole area by technical means such as point distribution, area distribution and the like through analysis and comparison of the disease and insect pest data based on a GIS system and local geographic information spatial data; data of pest detection, prediction, prevention and control and the like are subjected to interpolation analysis on a provincial map in a form of a Flex vector diagram, and occurrence conditions of diseases and pests of the whole province are displayed in a form of a color gradation diagram, so that the display result of the data is more visual.
The method is characterized by further comprising an expert decision system, wherein the expert decision system adopts a fuzzy neural network prediction model to establish a pest control expert system; combining an artificial neural network with a fuzzy system, and establishing a crop pest situation prediction model based on the fuzzy neural network; and compares the model to a prediction model based on a BP neural network algorithm. The result shows that the prediction accuracy of the prediction model of the fuzzy neural network is higher, and the training speed is faster; the model provides a new method for predicting the insect pest situation of crops, and an expert system can automatically make decision, analyze and prevent measures based on the prediction result of the prediction model on the distribution of time, degree and spatial position of grape pest occurrence.
The short message alarm module generates an alarm short message to a preset number through a 3GPP network module.
As an embodiment of the invention, the background server adopts dual-security login of the USBkey and the login password to ensure the security of system login and the security of authority management; the SSL server certificate and the HTTPS communication protocol are adopted to ensure the safety of the transmission of the service data on the Internet.
An operating method of an environmental data wireless monitoring system for intelligent agriculture comprises the following steps:
step 1, the sensor terminal works all day long, and the camera shooting component acts in a time-sharing mode, wherein the infrared camera works at night and sleeps in the day, and the color camera and the black-and-white camera work in the day and sleeps at night;
step 2, the wireless transceiver module wirelessly transmits information collected by the environment sensor to a base station, wherein the information comprises soil temperature, soil humidity, soil pH value, light intensity, air temperature and humidity, carbon dioxide and PM 2.5;
step 3, searching matched data from a large database through the color of the plant, the height of the plant and the insect body on the plant in the picture by an image retrieval and comparison system built in the base station so as to analyze the growth period, the leaf lesion degree, the insect pest growth rule and the insect pest situation of the plant;
step 4, the base station acquires terminal unique identification information and environment record data from the sensor terminal, binds and uploads the terminal unique identification information and the environment record data to the background server, and simultaneously sends the growth period, the leaf lesion degree, the insect pest growth rule and the insect pest condition of the analyzed plant to the background server for storage;
step 5, after the information wirelessly transmitted to the base station and collected by the environment sensor exceeds a threshold value, generating an alarm short message to a preset number through a short message alarm module by using a 3GPP network;
and 6, logging in a background server by a user through the USBKey and the login password to acquire the growth vigor of the crops in the farmland and the pest and disease damage conditions.
While the invention has been described above with reference to an embodiment, various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the various features of the embodiments disclosed herein may be used in any combination, provided that there is no structural conflict, and the combinations are not exhaustively described in this specification merely for the sake of brevity and conservation of resources. Therefore, it is intended that the invention not be limited to the particular embodiments disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.
Claims (6)
1. The wireless environmental data monitoring system for the smart agriculture is characterized by comprising a background server, a base station, a plurality of sensor terminals and camera shooting components, wherein the sensor terminals are arranged in a farmland, the camera shooting components are arranged on ridges of the farmland, the background server can be in wireless communication connection with the base station, the base station can be in wireless communication connection with the sensor terminals, and the base station is used for checking and acquiring terminal unique identification information and environmental record data from the sensor terminals and binding and uploading the terminal unique identification information and the environmental record data to the background server;
the sensor terminal comprises a wireless transceiver module and an environment sensor, wherein the wireless transceiver module is used for wirelessly transmitting information acquired by the environment sensor to a base station, and the environment sensor comprises any one or any combination of a soil temperature sensor, a soil humidity sensor, a soil pH value sensor, a light intensity sensor, an air temperature and humidity sensor, a carbon dioxide sensor and a PM2.5 sensor;
the camera shooting assembly comprises a camera and an image processing module, wherein the camera comprises an infrared camera, a color camera and a black-and-white camera, the image processing module is used for synthesizing and processing the pictures shot by the infrared camera, the color camera and the black-and-white camera, and transmitting the synthesized pictures to the base station through the wireless transceiving module;
the base station is internally provided with an image calling and comparing system based on a big data system, the image calling and comparing system is used for obtaining the synthesized picture, and matched data are searched from a big database through the color of the plant, the height of the plant and the insect body on the plant in the picture so as to analyze the growth period, the leaf lesion degree, the insect pest growth rule and the insect pest situation of the plant.
2. The wireless environmental data monitoring system for intelligent agriculture according to claim 1, wherein: the base station displays the occurrence trend and situation of the diseases and insect pests in the whole area by technical means of spot distribution, regional distribution and the like through analysis and comparison of the disease and insect pest data based on a GIS system and local geographic information spatial data; data of pest detection, prediction, prevention and control and the like are subjected to interpolation analysis on a provincial map in a form of a Flex vector diagram, and occurrence conditions of diseases and pests of the whole province are displayed in a form of a color gradation diagram, so that the display result of the data is more visual.
3. The wireless environmental data monitoring system for intelligent agriculture according to claim 1, wherein: the disease and pest control expert system is established by adopting a fuzzy neural network prediction model; the artificial neural network is combined with a fuzzy system, and a crop pest situation prediction model based on the fuzzy neural network is established.
4. The wireless environmental data monitoring system for intelligent agriculture according to claim 1, wherein: the system also comprises a short message alarm module which sends an alarm short message to a preset number through a 3GPP network module.
5. The wireless environmental data monitoring system for intelligent agriculture according to claim 1, wherein: the background server adopts dual-security login of the USBKey and the login password to ensure the security of system login and the security of authority management; the SSL server certificate and the HTTPS communication protocol are adopted to ensure the safety of the transmission of the service data on the Internet.
6. A working method of an environmental data wireless monitoring system for intelligent agriculture is characterized in that: the working method comprises the following steps:
step 1, the sensor terminal works all day long, and the camera shooting component acts in a time-sharing mode, wherein the infrared camera works at night and sleeps in the day, and the color camera and the black-and-white camera work in the day and sleeps at night;
step 2, the wireless transceiver module wirelessly transmits information collected by the environment sensor to a base station, wherein the information comprises soil temperature, soil humidity, soil pH value, light intensity, air temperature and humidity, carbon dioxide and PM 2.5;
step 3, searching matched data from a large database through the color of the plant, the height of the plant and the insect body on the plant in the picture by an image retrieval and comparison system built in the base station so as to analyze the growth period, the leaf lesion degree, the insect pest growth rule and the insect pest situation of the plant;
step 4, the base station acquires terminal unique identification information and environment record data from the sensor terminal, binds and uploads the terminal unique identification information and the environment record data to the background server, and simultaneously sends the growth period, the leaf lesion degree, the insect pest growth rule and the insect pest condition of the analyzed plant to the background server for storage;
step 5, after the information wirelessly transmitted to the base station and collected by the environment sensor exceeds a threshold value, generating an alarm short message to a preset number through a short message alarm module by using a 3GPP network;
and 6, logging in a background server by a user through the USBKey and the login password to acquire the growth vigor of the crops in the farmland and the pest and disease damage conditions.
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Cited By (9)
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| CN111539372A (en) * | 2020-05-06 | 2020-08-14 | 中南民族大学 | Method, equipment, storage medium and device for monitoring pest and disease damage distribution |
| CN111898590A (en) * | 2020-08-26 | 2020-11-06 | 龙川县林业科学研究所 | Camellia oleifera pest and disease monitoring method |
| CN111967441A (en) * | 2020-09-04 | 2020-11-20 | 郑州轻工业大学 | Crop disease analysis method based on deep learning |
| CN111990101A (en) * | 2020-09-09 | 2020-11-27 | 安徽世林照明股份有限公司 | Intelligent control vegetation lamp for big-arch shelter |
| CN112329709A (en) * | 2020-11-25 | 2021-02-05 | 中国农业大学 | Intelligent agricultural product control system, method, computer equipment and storage medium |
| CN112665652A (en) * | 2021-01-05 | 2021-04-16 | 宁波大学 | Automatic field monitoring and acquiring system and method for animal data of dry farmland soil |
| CN113110036A (en) * | 2021-05-27 | 2021-07-13 | 上海农林职业技术学院 | Agricultural wireless automatic monitoring control system based on FOD-PID control method |
| WO2021189430A1 (en) * | 2020-03-27 | 2021-09-30 | 杰瑞环保科技有限公司 | Wireless data acquisition system and method applied to soil remediation |
| CN115024140A (en) * | 2022-07-26 | 2022-09-09 | 茂名市农业科技推广中心 | Method for preventing and treating plant diseases and insect pests of litchis |
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