CN211979450U - Wisdom big-arch shelter crops pest monitoring system based on image processing technique - Google Patents
Wisdom big-arch shelter crops pest monitoring system based on image processing technique Download PDFInfo
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- CN211979450U CN211979450U CN201922192927.0U CN201922192927U CN211979450U CN 211979450 U CN211979450 U CN 211979450U CN 201922192927 U CN201922192927 U CN 201922192927U CN 211979450 U CN211979450 U CN 211979450U
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Abstract
The utility model discloses an intelligent greenhouse crop pest monitoring system based on image processing technology, which comprises an image acquisition camera, an stm singlechip, an Internet of things gateway, a power supply device, a base station, a data processing center and a WeChat applet; the image acquisition camera and the Internet of things gateway are respectively and electrically connected with the stm single chip microcomputer; the base station is wirelessly connected with the gateway of the Internet of things through a ZigBee protocol; the data processing center is connected with the base station through a 4g network, and the WeChat applet is connected with the data processing center through the 4g network; power supply unit respectively with image acquisition camera, stm singlechip and thing networking gateway electric connection, this novel can effectively monitor agricultural crop insect pest in the wisdom big-arch shelter to improve the degree of automation of wisdom big-arch shelter crops insect pest monitoring.
Description
Technical Field
The utility model relates to a wisdom big-arch shelter field, especially a wisdom big-arch shelter crops pest monitoring system based on image processing technique.
Background
The intelligent greenhouse is a more advanced agricultural production mode which is developed gradually at home at present, can collect temperature and humidity, illumination intensity and carbon dioxide concentration, can also collect information such as growth of plants in a farm, plant diseases and insect pests, and the like, transmits data to a data center, automatically analyzes results by a computer, generates and carries out early warning information prompt according to whether various data of the farm are abnormal, provides the results for an intelligent greenhouse manager, refers to the results obtained by the computer by managers, takes corresponding measures timely, and effectively manages the greenhouse.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to overcome prior art's not enough, provide a wisdom big-arch shelter crops pest monitoring system based on image processing technique to solve the problem that proposes in the above-mentioned technical background.
The purpose of the utility model is realized through the following technical scheme:
an intelligent greenhouse crop pest monitoring system based on an image processing technology comprises an image acquisition camera, an stm single chip microcomputer, an internet of things gateway, a power supply device, a base station, a data processing center and a WeChat small program; the image acquisition camera and the gateway of the Internet of things are respectively and electrically connected with the stm single chip microcomputer; the base station is wirelessly connected with the gateway of the Internet of things through a ZigBee protocol; the data processing center is connected with the base station through a 4g network, and the WeChat applet is connected with the data processing center through the 4g network; and the power supply equipment is respectively and electrically connected with the image acquisition camera, the stm single chip microcomputer and the Internet of things gateway.
Further, image acquisition camera, stm singlechip and thing networking gateway are installed in the casing, and the casing is the dampproofing PC material of enhancement mode.
Further, power supply unit includes solar energy electroplax and battery, battery respectively with image acquisition camera, stm singlechip and thing networking gateway electric connection, solar energy electroplax and battery electric connection.
Furthermore, the stm singlechip comprises a Cortex-M3 processor core, an SRAM data area, an ICode instruction bus, an io input port, an io output port and a system bus; the system bus is respectively and electrically connected with the Cortex-M3 processor core, the SRAM data area, the ICode instruction bus, the io input port and the io output port, the io input port is electrically connected with the image acquisition camera, and the io output port is electrically connected with the gateway of the Internet of things.
Further, the data processing center comprises a computer, a Python integrated environment, a background difference image processing program, a bp neural network and an information sending module, wherein the information sending module is in wireless connection with the WeChat small program through a 4g network.
Furthermore, the WeChat small program package is used for inquiring a pest image module, inquiring a pest species module and inquiring a pest control measure module.
Further, the WeChat applet is installed on the mobile terminal.
The utility model has the advantages that: this novel background difference image processing technique that adopts, whether computer automatic monitoring crops take place the pest and judge the pest kind, and the administrator can utilize the terminal to know the big-arch shelter pest situation, in time takes corresponding measure, prevents that crops from reducing production, has improved the intelligent degree of big-arch shelter.
Drawings
FIG. 1 is a block diagram of the present invention;
FIG. 2 is a schematic view of the housing structure of the present invention;
FIG. 3 is a block diagram of the stm single chip microcomputer according to the present invention;
FIG. 4 is a block diagram of the data processing center according to the present invention;
FIG. 5 is a block diagram of the WeChat applet of the present invention;
FIG. 6 is a flow chart of the present invention for identifying pest species;
fig. 7 is a flow chart of the pest control measures generated by the present invention.
In the figure, 100-image acquisition camera, 200-stm single chip microcomputer, 300-internet of things gateway, 400-power supply equipment, 500-base station, 600-data processing center, 700-WeChat small program, 800-shell, 201-Cortex-M3 processor core, 202-SRAM data area, 203-ICode instruction bus, 204-io input port, 205-io output port, 206-system bus, 601-computer, 602-Python integrated environment, 603-background differential image processing program, 604-bp neural network, 605-information sending module, 701-pest inquiry image module, 702-pest inquiry module, and 703-pest control measure inquiry module.
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and other advantages and effects of the present invention will be readily apparent to those skilled in the art from the disclosure herein. The present invention can also be implemented or applied through other different specific embodiments, and various details in the present specification can be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic concept of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the form, amount and ratio of the components in actual implementation may be changed at will, and the layout of the components may be more complicated.
Example (b):
an intelligent greenhouse crop pest monitoring system based on an image processing technology comprises an image acquisition camera 100, an stm single chip microcomputer 200, an internet of things gateway 300, a power supply device 400, a base station 500, a data processing center 600 and a WeChat applet 700; the image acquisition camera 100 and the internet of things gateway 300 are respectively electrically connected with the stm single chip microcomputer 200; the base station 500 is wirelessly connected with the internet of things gateway 300 through a ZigBee protocol; the data processing center 600 is connected with the base station 500 through a 4g network, and the WeChat applet 700 is connected with the data processing center 600 through the 4g network; the power supply device 400 is electrically connected with the image capturing camera 100, the stm single chip microcomputer 200 and the internet of things gateway 300 respectively.
Further, image acquisition camera 100, stm singlechip 200 and thing networking gateway 300 are installed in casing 800, and casing 800 is the dampproofing PC material of enhancement mode.
Further, power supply unit 400 includes solar energy electroplax 401 and battery 402, battery 402 respectively with image acquisition camera 100, stm singlechip 200 and thing networking gateway 300 electric connection, solar energy electroplax 401 and battery 402 electric connection and for image acquisition camera 100, stm singlechip 200 and thing networking gateway 300 power supply, solar energy electroplax 401 and battery 402 electric connection and convert solar energy into the electric energy and store in battery 402.
Further, the stm single chip microcomputer 200 comprises a Cortex-M3 processor core 201, an SRAM data area 202, an ICode instruction bus 203, an io input port 204, an io output port 205 and a system bus 206; the system bus 206 is electrically connected with the Cortex-M3 processor core 201, the SRAM data area 202, the ICode instruction bus 203, the io input port 204 and the io output port 205 respectively, the io input port 204 is electrically connected with the image acquisition camera 100, and the io output port 205 is electrically connected with the internet of things gateway 300.
Further, the data processing center 600 includes a computer 601, a Python integrated environment 602, a background difference image processing program 603, a bp neural network 604, and an information sending module 605, where the information sending module 605 is wirelessly connected to the wechat applet 700 through a 4g network.
Further, the WeChat applet 700 includes a Pest image query module 701, a Pest species query module 702, and a Pest control action query module 703.
Further, the wechat applet 700 is installed on the mobile terminal.
Specifically, the shell 900 is fixedly installed on a greenhouse steel frame above crops, during monitoring, the image acquisition camera 100 acquires and shoots a blade image of the plants in the intelligent greenhouse and transmits the shot color RGB image to the stm single chip microcomputer 200, the stm single chip microcomputer 200 converts the RGB image into a gray image, lbp is used for carrying out dimension reduction processing on the image to reduce data transmission pressure, the dimension reduced image is transmitted to the base station 500 in a wireless transmission mode by using a ZigBee protocol through the Internet of things gateway 300, the base station 500 transmits image information to the data processing center 600 through a 4g network, after the data processing center 600 receives the data, the computer 601 acquires an image background according to estimation method background modeling, the background difference image processing program 603 acquires a target and judges whether pests exist or not, and when the pests are judged, the background difference image processing program 603 acquires a binary image through thresholding, the bp neural network 604 identifies pest types and generates pest control measures, the information sending module 605 sends the processed data to a terminal provided with the WeChat applet 700 by using a 4g network, and greenhouse managers can see pictures, types and prevention measures of pests by checking the WeChat applet 700 on the terminal.
The above-mentioned embodiments only express the specific embodiments of the present invention, and the description thereof is specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for those skilled in the art, without departing from the spirit of the present invention, several variations and modifications can be made, which are within the scope of the present invention.
Claims (7)
1. An intelligent greenhouse crop pest monitoring system based on an image processing technology comprises an image acquisition camera (100), an stm single chip microcomputer (200), an internet of things gateway (300), power supply equipment (400), a base station (500), a data processing center (600) and a WeChat small program (700), and is characterized in that the image acquisition camera (100) and the internet of things gateway (300) are electrically connected with the stm single chip microcomputer (200) respectively; the base station (500) is in wireless connection with the Internet of things gateway (300) through a ZigBee protocol; the data processing center (600) is connected with the base station (500) through a 4g network, and the WeChat applet (700) is connected with the data processing center (600) through the 4g network; and the power supply equipment (400) is electrically connected with the image acquisition camera (100), the stm single chip microcomputer (200) and the Internet of things gateway (300) respectively.
2. The intelligent greenhouse crop pest monitoring system based on image processing technology as claimed in claim 1, wherein the image capturing camera (100), the stm single chip microcomputer (200) and the internet of things gateway (300) are installed in a shell (800), and the shell (800) is made of enhanced moisture-proof PC material.
3. The intelligent greenhouse crop pest monitoring system based on the image processing technology as claimed in claim 1, wherein the power supply device (400) comprises a solar electric board (401) and a storage battery (402), the storage battery (402) is electrically connected with the image acquisition camera (100), the stm single chip microcomputer (200) and the internet of things gateway (300), and the solar electric board (401) is electrically connected with the storage battery (402).
4. The intelligent greenhouse crop pest monitoring system based on the image processing technology as claimed in claim 1, wherein the stm single chip microcomputer (200) comprises a Cortex-M3 processor core (201), an SRAM data area (202), an ICode instruction bus (203), an io input port (204), an io output port (205) and a system bus (206), the system bus (206) is electrically connected with the Cortex-M3 processor core (201), the SRAM data area (202), the ICode instruction bus (203), the io input port (204) and the io output port (205), the io input port (204) is electrically connected with the image acquisition camera (100), and the io output port (205) is electrically connected with the gateway (300).
5. The intelligent greenhouse crop pest monitoring system based on the image processing technology as claimed in claim 1, wherein the data processing center (600) comprises a computer (601), a Python integrated environment (602), a background difference image processing program (603), a bp neural network (604) and an information sending module (605), and the information sending module (605) is wirelessly connected with the WeChat applet (700) through a 4g network.
6. The intelligent greenhouse crop pest monitoring system based on image processing technology as claimed in claim 1, wherein the WeChat applet (700) includes a Pest image query module (701), a Pest species query module (702), and a Pest control action query module (703).
7. The intelligent greenhouse crop pest monitoring system based on image processing technology as claimed in claim 1, wherein the WeChat applet (700) is installed on a mobile terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201922192927.0U CN211979450U (en) | 2019-12-09 | 2019-12-09 | Wisdom big-arch shelter crops pest monitoring system based on image processing technique |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201922192927.0U CN211979450U (en) | 2019-12-09 | 2019-12-09 | Wisdom big-arch shelter crops pest monitoring system based on image processing technique |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN211979450U true CN211979450U (en) | 2020-11-20 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201922192927.0U Expired - Fee Related CN211979450U (en) | 2019-12-09 | 2019-12-09 | Wisdom big-arch shelter crops pest monitoring system based on image processing technique |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN211979450U (en) |
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2019
- 2019-12-09 CN CN201922192927.0U patent/CN211979450U/en not_active Expired - Fee Related
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| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20201120 Termination date: 20201209 |