CN217359877U - Forest disease and pest monitoring and early warning system based on Internet of things - Google Patents
Forest disease and pest monitoring and early warning system based on Internet of things Download PDFInfo
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- CN217359877U CN217359877U CN202123158567.6U CN202123158567U CN217359877U CN 217359877 U CN217359877 U CN 217359877U CN 202123158567 U CN202123158567 U CN 202123158567U CN 217359877 U CN217359877 U CN 217359877U
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
- Y02A40/28—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture specially adapted for farming
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Abstract
The utility model discloses a forest disease and pest monitoring and early warning system based on Internet of things, which comprises an image acquisition device, a disease and pest monitoring module, a communication device, a data processing device, a display device, an alarm device, a soil monitoring device, a forest fire alarm device and a cloud data server; the image acquisition device, the communication device, the display device, the alarm device, the soil monitoring device and the forest fire alarm device are respectively connected with the data processor, and the pest and disease damage monitoring module and the cloud data server are respectively in communication connection with the communication device. Through the utility model discloses can realize real-time acquisition and be monitored the insect pest situation data of forest, can also carry out the control of certain degree to the forest fire simultaneously.
Description
Technical Field
The utility model belongs to the technical field of agriculture and specifically relates to based on thing networking forest pest monitoring and early warning system.
Background
The forest pest control is one of important works of forest resource protection, large-scale forest pest monitoring is mainly carried out by arranging pest observation stations in forest areas at present, and the monitoring is carried out after the occurrence of pests. The small-scale pest management mainly depends on personal experience, prediction and prevention and control of pests cannot be accurately realized, and the discovery of the pests is lagged, so that a large amount of economic loss is caused.
SUMMERY OF THE UTILITY MODEL
The utility model aims to overcome the defects of the prior art and provide a forest disease and pest monitoring and early warning system based on the Internet of things, which comprises an image acquisition device, a disease and pest monitoring module, a communication device, a data processing device, a display device, an alarm device, a soil monitoring device, a forest fire alarm device and a cloud data server; the image acquisition device, the communication device, the display device, the alarm device, the soil monitoring device and the forest fire alarm device are respectively connected with the data processing device, and the pest and disease damage monitoring module and the cloud data server are respectively in communication connection with the communication device.
Preferably, the pest monitoring module comprises a spore capture instrument, a pest situation observation lamp, an environment monitoring device, a power supply module, a mobile communication device, a positioning device and a data processor; the pest and disease monitoring module comprises a spore capturing instrument, a pest situation forecasting lamp, an environment monitoring device, a power supply module, a mobile communication device and a positioning device which are respectively connected with the data processor, and the mobile communication device is in communication connection with the communication device.
Preferably, the soil monitoring device comprises a soil element content sensor and a soil pH value sensor; the soil element content sensor and the soil PH value sensor are respectively connected with the data processing device.
Preferably, the forest fire alarm device comprises a smoke sensor, a second alarm device and a second analog-to-digital converter; the smoke sensor is connected with the second analog-to-digital converter, and the second analog-to-digital converter and the second alarm device are respectively connected with the data processing device.
Preferably, the image acquisition device comprises a camera, an electric holder and an image data memory; the camera, the electric holder and the image data memory are respectively connected with the data processing device.
Preferably, the type adopted by the spore trapping instrument is OK-BZ10 type intelligent spore trapping instrument.
Preferably, the insect pest situation forecasting lamp is a remote photographing insect pest situation forecasting lamp with the model of YFCB-IV.
Preferably, the data processing device adopts an arm microprocessor.
The utility model has the advantages that: through the technical scheme of the utility model, can realize real-time acquisition by the insect pest situation data of monitoring the forest, can also carry out the control of certain degree to the forest fire simultaneously.
Drawings
FIG. 1 is a schematic diagram of a forest disease and pest monitoring and early warning system based on the Internet of things;
fig. 2 is a schematic diagram of a pest monitoring module.
Detailed Description
The technical solution of the present invention is described in further detail below with reference to the accompanying drawings, but the scope of the present invention is not limited to the following description.
As shown in fig. 1, the forest disease and pest monitoring and early warning system based on the internet of things comprises an image acquisition device, a disease and pest monitoring module, a communication device, a data processing device, a display device, an alarm device, a soil monitoring device, a forest fire alarm device and a cloud data server; the image acquisition device, the communication device, the display device, the alarm device, the soil monitoring device and the forest fire alarm device are respectively connected with the data processing device, and the pest and disease damage monitoring module and the cloud data server are respectively in communication connection with the communication device.
The system comprises an image acquisition device, a disease and pest monitoring module, a communication device and an alarm device, wherein the image acquisition device is used for acquiring forest images in real time, the disease and pest monitoring module is used for monitoring forest disease and pest in real time, the communication device is used for remote data communication, and the alarm device is used for sending alarm information; the soil monitoring device is used for acquiring the soil condition of the monitored forest; the forest fire alarm device is used for monitoring whether a forest has a fire and giving an alarm; the cloud data server is used for providing cloud data service.
The pest and disease monitoring module comprises a spore capture instrument, a pest situation observation lamp, an environment monitoring device, a power supply module, a mobile communication device, a positioning device and a data processor; the pest and disease monitoring module comprises a spore capturing instrument, a pest situation forecasting lamp, an environment monitoring device, a power supply module, a mobile communication device and a positioning device which are respectively connected with the data processor, and the mobile communication device is in communication connection with the communication device.
The spore capture instrument is used for collecting disease pathogenic bacteria spores and pollen dust particles which flow and infect with air to obtain related data, and uploading the related data to the cloud data server; the insect condition observation and report lamp is used for automatically photographing the occurrence and development of insects in real time, uploading the insects to the cloud data server and storing the insects.
The soil monitoring device comprises a soil element content sensor and a soil pH value sensor; the soil element content sensor and the soil PH value sensor are respectively connected with the data processing device.
The soil element content sensor is a TDC220 digital sensor, and the soil PH value sensor is an RS485 digital soil PH value sensor.
The forest fire alarm device comprises a smoke sensor, an alarm device II and an analog-to-digital converter II; the smoke sensor is connected with the second analog-to-digital converter, and the second analog-to-digital converter and the second alarm device are respectively connected with the data processing device.
The smoke sensor is used for monitoring whether smoke is generated or not, if the smoke is generated, the alarm device gives an alarm, the type of the smoke sensor is MQ-2, the smoke sensors are respectively arranged in different places, and different positions of a forest can be monitored.
The image acquisition device comprises a camera, an electric holder and an image data memory; the camera, the electric holder and the image data memory are respectively connected with the data processing device.
In practical implementation, the system comprises a plurality of image acquisition devices which are respectively arranged at different positions of the forest and used for acquiring images at different positions.
The spore trapping instrument adopts an OK-BZ10 type intelligent spore trapping instrument. The insect pest situation forecasting lamp is a remote photographing insect pest situation forecasting lamp with the model of YFCB-IV. The data processing device adopts an arm microprocessor.
The foregoing is illustrative of the preferred embodiments of the present invention, and it is to be understood that the invention is not limited to the precise forms disclosed herein, and that various other combinations, modifications, and environments may be resorted to, falling within the scope of the invention as defined by the appended claims. But that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention, which is to be limited only by the claims appended hereto.
Claims (8)
1. The forest disease and pest monitoring and early warning system based on the Internet of things is characterized by comprising an image acquisition device, a disease and pest monitoring module, a communication device, a data processing device, a display device, an alarm device, a soil monitoring device, a forest fire alarm device and a cloud data server; the image acquisition device, the communication device, the display device, the alarm device, the soil monitoring device and the forest fire alarm device are respectively connected with the data processing device, and the pest and disease damage monitoring module and the cloud data server are respectively in communication connection with the communication device.
2. The forest disease and pest monitoring and early warning system based on the internet of things as claimed in claim 1, wherein the pest monitoring module comprises a spore capture instrument, a pest situation prediction lamp, an environment monitoring device, a power supply module, a mobile communication device, a positioning device and a data processor; the pest and disease monitoring module comprises a spore capturing instrument, a pest situation forecasting lamp, an environment monitoring device, a power supply module, a mobile communication device and a positioning device, which are respectively connected with the data processor, and the mobile communication device is in communication connection with the communication device.
3. The forest disease and pest monitoring and early warning system based on the internet of things as claimed in claim 1, wherein the soil monitoring device comprises a soil element content sensor and a soil pH value sensor; the soil element content sensor and the soil PH value sensor are respectively connected with the data processing device.
4. The Internet of things-based forest disease and pest monitoring and early warning system according to claim 1, wherein the forest fire warning device comprises a smoke sensor, a second warning device and a second analog-to-digital converter; the smoke sensor is connected with the second analog-to-digital converter, and the second analog-to-digital converter and the second alarm device are respectively connected with the data processing device.
5. The forest disease and pest monitoring and early warning system based on the internet of things as claimed in claim 1, wherein the image acquisition device comprises a camera, an electric holder and an image data memory; the camera, the electric holder and the image data memory are respectively connected with the data processing device.
6. The Internet of things-based forest disease and pest monitoring and early warning system as claimed in claim 2, wherein the type of the spore trap is OK-BZ10 type intelligent spore trap.
7. The forest disease and pest monitoring and early warning system based on the internet of things as claimed in claim 2, wherein the pest situation forecasting lamp is a remote photographing pest situation forecasting lamp with the model of YFCB-IV.
8. The forest disease and pest monitoring and early warning system based on the Internet of things as claimed in claim 1, wherein the data processing device adopts an arm microprocessor.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202123158567.6U CN217359877U (en) | 2021-12-13 | 2021-12-13 | Forest disease and pest monitoring and early warning system based on Internet of things |
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| CN202123158567.6U CN217359877U (en) | 2021-12-13 | 2021-12-13 | Forest disease and pest monitoring and early warning system based on Internet of things |
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| CN217359877U true CN217359877U (en) | 2022-09-02 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115762100A (en) * | 2022-11-02 | 2023-03-07 | 北京百瑞盛田环保科技发展有限公司 | Fireproof and insect-proof intelligent base station system for plain forest land |
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2021
- 2021-12-13 CN CN202123158567.6U patent/CN217359877U/en active Active
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115762100A (en) * | 2022-11-02 | 2023-03-07 | 北京百瑞盛田环保科技发展有限公司 | Fireproof and insect-proof intelligent base station system for plain forest land |
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