Crop pest intelligent monitoring and early warning system based on Internet of things

文档序号:1603277 发布日期:2020-01-10 浏览:28次 中文

阅读说明:本技术 一种基于物联网的农作物害虫智能监测预警系统 (Crop pest intelligent monitoring and early warning system based on Internet of things ) 是由 詹望 于 2019-10-29 设计创作,主要内容包括:本发明公开了一种基于物联网的农作物害虫智能监测预警系统,包括控制模块和与控制模块电性连接的LoRa无线通信模块、通信模块、PC终端、电源模块,所述LoRa无线通信模块连接有虫害诱集模块和自动计数模块,所述虫害诱集模块和自动计数模块集中布置于诱捕装置中;本发明省人力和时间,诱捕灯大大提高了害虫的诱集效果,并且从捕获害虫的种类和数量对技术人员产生预警作用。(The invention discloses an intelligent crop pest monitoring and early warning system based on the Internet of things, which comprises a control module, and a LoRa wireless communication module, a PC terminal and a power module which are electrically connected with the control module, wherein the LoRa wireless communication module is connected with a pest trapping module and an automatic counting module which are arranged in a trapping device in a centralized manner; the invention saves labor and time, greatly improves the trapping effect of pests by the trapping lamp, and generates early warning effect on technicians from the species and the quantity of the captured pests.)

1. The utility model provides a crops pest intelligent monitoring early warning system based on thing networking which characterized in that: including control module (1) and with control module (1) electric connection's LoRa wireless communication module (2), communication module (3), PC terminal (4), power module (5), LoRa wireless communication module (2) are connected with insect pest and are induced an album module and automatic counting module, insect pest is induced an album module and automatic counting module and is arranged in trapping device in a concentrated manner.

2. The intelligent monitoring and early warning system for crop pests based on the Internet of things as claimed in claim 1, wherein: the insect pest trapping module comprises a high-voltage power grid (6) and a trapping lamp (7).

3. The intelligent monitoring and early warning system for crop pests based on the Internet of things as claimed in claim 2, wherein: the automatic counting module comprises a groove-shaped photoelectric sensor (8), an infrared sensing camera (9) and a CMOS camera (10).

4. The intelligent monitoring and early warning system for crop pests based on the Internet of things as claimed in claim 3, wherein: the trapping device comprises a vertical column (11), a supporting frame (12) arranged on the vertical column (11) and a trap hung on the supporting frame (12), the trapper comprises a rain cover (13) arranged on a support frame (12) through a hook, a high-voltage power grid (6) fixed on the lower side of the rain cover (13) in a cylindrical shape, a trapping lamp (7) connected with the lower side of the rain cover (13) and arranged inside the high-voltage power grid (6), a collecting funnel (14) arranged on the lower side of the high-voltage power grid (6) and a collecting bottle (16) connected to the lower end of the collecting funnel (14) through a connecting column (15) and the rain cover (13), a groove-shaped photoelectric sensor (8) is fixed at a bottle opening of the collecting bottle (16), an infrared induction camera (9) is arranged at the lower side of the groove-shaped photoelectric sensor (8) and is fixed at the bottle opening of the collecting bottle (16), and a CMOS camera (10) is fixed at the bottom.

5. The intelligent monitoring and early warning system for crop pests based on the Internet of things as claimed in claim 4, wherein: sex attractant is coated on the trapping lamp (7).

6. The intelligent monitoring and early warning system for crop pests based on the Internet of things according to any one of claims 1-5, characterized in that: the trapping devices are arranged in the field at equal intervals, and the adjacent trapping devices are spaced by 100-70 m.

7. The intelligent monitoring and early warning system for crop pests based on the Internet of things as claimed in claim 1, wherein: LoRa wireless communication module (2) include loRa communication module, loRa receiving and dispatching antenna and MCU, and loRa receiving and dispatching antenna includes the loRa signal transmission antenna who is connected with cell type photoelectric sensor (8), infrared induction camera (9) and CMOS camera (10) respectively and the loRa signal reception electric wire of being connected with MCU, and MCU is connected with loRa communication module, and loRa communication module is connected with control module (1).

8. The intelligent monitoring and early warning system for crop pests based on the Internet of things as claimed in claim 1, wherein: the control module (1) is also connected with a database (17).

9. The intelligent monitoring and early warning system for crop pests based on the Internet of things as claimed in claim 1, wherein: the communication module (3) is a 2G/3G/4G communication module.

10. The intelligent monitoring and early warning system for crop pests based on the Internet of things as claimed in claim 1, wherein: the power module (5) is connected with a solar cell panel (18), and the solar cell panel (18) is fixed on the top of the upright post (11).

Technical Field

The invention belongs to the field of intelligent monitoring, prediction and forecast of agricultural pests, and particularly relates to an intelligent monitoring and early warning system for crop pests based on the Internet of things.

Background

In recent years, with the upgrading of trade and the aggravation of global climate change, common pest outbreak and external pest invasion events will be more and more intensified. The large-scale planting enterprises in China are nearly hundreds of families, such as tomato processing planting bases in Xinjiang, rice and rice planting bases in northeast, and the like, and have extremely high requirements on products. Furthermore, in recent years, in the development of new facility agriculture, especially in the development of high value-added products (tourism and sightseeing agriculture, organic agriculture) and the like, successful early pest warning is a key guarantee in order to reduce pesticide use or prevent pesticide use.

Therefore, in modern agriculture, crop pest monitoring and early warning is a key work, but because field monitoring and early warning work wastes time, labor and time, severe weather problems and the problem of manpower shortage of technical personnel in plant protection departments are easily met, the existing detection system has poor pest trapping effect, cannot automatically count pests, cannot distinguish the types of the pests, and is used for predicting the occurrence condition of pest populations.

Disclosure of Invention

Aiming at the problems, the invention provides an intelligent crop pest monitoring and early warning system based on the Internet of things, which well solves the problems that the existing detection system is poor in trapping effect, cannot automatically count and can distinguish the types of pests.

In order to achieve the purpose, the technical scheme adopted by the invention is as follows: the utility model provides a crops pest intelligent monitoring early warning system based on thing networking, include control module and with control module electric connection's loRa wireless communication module, PC terminal, power module, loRa wireless communication module is connected with insect pest trapping module and automatic counting module, insect pest trapping module and automatic counting module concentrate and arrange in trapping device.

Further, the pest trapping module comprises a high-voltage power grid and a trapping lamp.

Furthermore, the automatic counting module comprises a groove-shaped photoelectric sensor, an infrared sensing camera and a CMOS camera.

Further, trapping device includes the stand, sets up the support frame on the stand and hangs the trapper of locating on the support frame, the trapper includes through the rain-proof lid of hanging the hook on locating the support frame, be fixed in the high-voltage electric network of rain-proof lid downside tube-shape, set up in the inside trapper lamp of high-voltage electric network with rain-proof lid downside is connected, through the spliced pole with rain-proof lid be connected set up in the collection funnel of high-voltage electric network downside and connect in the receiving flask of collecting funnel lower extreme, cell type photoelectric sensor is fixed in the bottleneck department of receiving flask, infrared induction camera sets up in cell type photoelectric sensor's downside and is fixed in the bottleneck department of receiving flask, the CMOS camera is fixed.

Further, a sex attractant is coated on the trapping lamp.

Furthermore, the trapping devices are arranged in the field at equal intervals, and the adjacent trapping devices are separated by 100-70 m.

Further, loRa wireless communication module includes loRa communication module, loRa receiving and dispatching antenna and MCU, and loRa receiving and dispatching antenna includes the loRa signal transmission antenna of being connected with cell type photoelectric sensor, infrared induction camera and CMOS camera respectively and the loRa signal reception electric wire of being connected with MCU, and MCU is connected with loRa communication module, and loRa communication module is connected with control module.

Furthermore, the control module is also connected with a database.

Further, the communication module is a 2G/3G/4G communication module.

Furthermore, the power module is connected with a solar cell panel, and the solar cell panel is fixed on the top of the upright post.

Compared with the prior art, the invention has the following beneficial effects:

1. there are high-voltage electric network and trapper lamp in the insect pest trapping module, the trapper lamp can lure the pest of phototaxis, the pest touches high-voltage electric network and dies, fall into the receiving flask downwards, cell type photoelectric sensor in the automatic counting module carries out automatic counting, infrared induction camera takes a candid photograph to the pest that falls down, and CMOS camera shoots the receiving flask bottom pest crowd, digit and image information in the automatic counting module transmit for control module through loRa wireless communication module, control module feeds back digit and image information processing to PC terminal or feeds back to the mobile device through communication module in, the kind of discernment pest that the technical staff can be convenient, use manpower sparingly and time, the trapper lamp has improved the trapping effect of pest greatly, and produce the early warning effect to the technical staff from the kind and the quantity that the pest caught.

2. The surface of the trapping lamp is coated with the sex attractant, so that different kinds of pests can be attracted, and the trapping effect is further improved.

Drawings

FIG. 1 is an overall architecture diagram of the present invention;

FIG. 2 is a schematic view of the overall structure of the trapping device

Fig. 3 is a diagram of a LoRa communication module architecture.

In the figure: 1. a control module; 2. a LoRa wireless communication module; 3. a communication module; 4. a PC terminal; 5. a power supply module; 6. a high voltage power grid; 7. a trap lamp; 8. a groove-type photoelectric sensor; 9. an infrared sensing camera; 10. a CMOS camera; 11. a column; 12. a support frame; 13. a rain cover; 14. a collection funnel; 15. connecting columns; 16. a collection bottle; 17. a database; 18. a solar cell panel.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings 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, and 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.

As shown in fig. 1-3, the crop pest intelligent monitoring and early warning system based on the internet of things comprises a control module 1, and a LoRa wireless communication module 2, a communication module 3, a PC terminal 4 and a power module 5 which are electrically connected with the control module 1, wherein the LoRa wireless communication module 2 is connected with a pest trapping module and an automatic counting module, and the pest trapping module and the automatic counting module are arranged in a trapping device in a centralized manner.

The control module 1 adopts an AT89C0252 singlechip as a processor, and the power module 5 is a storage battery or a municipal power supply; the communication module 4 is a 2G/3G/4G communication module, can be connected with mobile communication equipment, is convenient for technicians to use a mobile phone for monitoring, and is convenient and quick.

Specifically, the insect pest trapping module comprises a high-voltage power grid 6 and a trapping lamp 7; the automatic counting module comprises a groove-shaped photoelectric sensor 8, an infrared sensing camera 9 and a CMOS camera 10.

And, trapping device includes stand 11, welds support frame 12 on stand 11 and hangs the trapper of locating on support frame 12, the trapper includes through the couple hang locate the rain-proof lid 13 on support frame 12, be fixed in the high voltage electric network 6 of rain-proof lid 13 downside tube-shape, set up in the inside trapper lamp 7 of high voltage electric network 6 with rain-proof lid 13 downside is connected, set up in the collection funnel 14 of high voltage electric network 6 downside and connect in the collection bottle 16 of collection funnel 14 lower extreme through spliced pole 15 and rain-proof lid 13 are connected, cell type photoelectric sensor 8 is fixed in the bottleneck department of collection bottle 16, infrared induction camera 9 sets up in the downside of cell type photoelectric sensor 8 and is fixed in the bottleneck department of collection bottle 16, CMOS camera 10 is fixed in the bottom of collection bottle 16.

The model of the groove type photoelectric sensor 8 is DY-ITR9606, and the model of the infrared sensing camera 9 is DS-2CE56F1T-IT 3; trapper 7 and high voltage electric network 6 pass through control module 1 and power module 5 and carry out the circular telegram, trapper 7 opens the pest that can lure phototaxis, it is dead when waiting for the pest to touch high voltage electric network 6, dead pest falls into collecting bottle 16 downwards, earlier trough type photoelectric sensor 8 through collecting bottle 16 bottleneck department in the in-process that the pest falls down, automatic counting is carried out to the pest that falls down, later through infrared induction camera 9 take a candid photograph to the pest that falls down, shoot the photo, be convenient for the differentiation of pest kind, and CMOS camera 10 shoots the 16 bottom pest colony of collecting bottle, digit and image information transmit for control module 1 through loRa wireless communication module 2, control module 1 feeds back digit and image information processing to PC terminal 4 or feeds back to the mobile device in through communication module 3.

The LoRa wireless communication module 2 is adopted for data transmission, and the wireless communication system has the advantages of low power consumption, low cost, short time delay, large network capacity, reliable data transmission and the like; specifically, loRa wireless communication module 2 includes loRa communication module, loRa receiving and dispatching antenna and MCU, and loRa receiving and dispatching antenna includes the loRa signal transmission antenna who is connected with cell type photoelectric sensor 8, infrared induction camera 9 and CMOS camera 10 respectively and the loRa signal reception electric wire of being connected with MCU, and MCU is connected with loRa communication module, and loRa communication module is connected with control module 1.

Further, the control module 1 is also connected with a database 17, and can store the numbers and picture information of the groove-shaped photoelectric sensor 8, the infrared sensing camera 9 and the CMOS camera 10, so that technicians can analyze the types and the quantity of pests conveniently to perform early warning.

Further, a sex attractant is coated on the trapping lamp 7; can attract different kinds of pests, and the attracting effect is further improved.

Preferably, the trapping devices are arranged in a plurality at equal intervals in the field, and the adjacent trapping devices are separated by 100-70 m.

Preferably, the power module 5 is connected with a solar panel 18, and the solar panel 18 is fixed on the top of the upright post 11, so that energy can be saved and energy consumption can be reduced.

When the pest trapping device is implemented, a high-voltage power grid 6 and a trapping lamp 7 trap pests, digital and image information in an automatic counting module is sent out through an LoRa signal sending antenna, an LoRa signal receiving wire connected with an MCU receives signals, the MCU processes the digital and image information and transmits the digital and image information to a control module 1 through an LoRa communication module, the control module 1 feeds the information back to a PC terminal 4 or transmits the information to mobile equipment through a communication module 3, so that technicians can analyze the types and the number of the pests and simultaneously store the information into a database 17; the invention saves labor and time, greatly improves the trapping effect of pests by the trapping lamp, and generates early warning effect on technicians from the species and the quantity of the captured pests.

Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that various changes in the embodiments and/or modifications of the invention can be made, and equivalents and modifications of some features of the invention can be made without departing from the spirit and scope of the invention.

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