CN211881841U - Tobacco pest detecting and forecasting system based on WeChat platform - Google Patents
Tobacco pest detecting and forecasting system based on WeChat platform Download PDFInfo
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- CN211881841U CN211881841U CN202020337622.4U CN202020337622U CN211881841U CN 211881841 U CN211881841 U CN 211881841U CN 202020337622 U CN202020337622 U CN 202020337622U CN 211881841 U CN211881841 U CN 211881841U
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Abstract
The utility model discloses a tobacco pest forecasting system based on a WeChat platform, which comprises a trapping cage; the detection counting device is used for detecting the tobacco pests entering the trapping cage and generating a counting signal; the controller transmits the processed data to the local server through the wireless transceiving module, and the local server is in communication connection with the controller; the cloud platform is in bidirectional communication with the local server through the Internet; the WeChat service public platform is in bidirectional communication with the cloud platform through the Internet; and the mobile terminal is in two-way communication with the WeChat service public platform through the Internet. Compared with the prior art, the forecasting system can realize the informationization of pest trapping and pest counting, reduce a large amount of manual labor, and achieve the purposes of reducing the labor intensity of plant protection workers and improving the forecasting accuracy.
Description
Technical Field
The utility model relates to a tobacco pest forecast system based on believe platform a little belongs to flue-cured tobacco production pest control technical field.
Background
Agricultural pest forecasting is the fundamental work of plant protection and even agricultural production. At present, in the pest survey and report of flue-cured tobacco production, a trap is usually used for trapping adults of tobacco pests such as prodenia litura, black cutworm, oriental tobacco budworm and the like. The trapper is a green environment-friendly plant protection mode for trapping tobacco moth pests, and the trapper is internally provided with an pheromone trapping core to attract and trap moth adults. Effective prediction and forecast of tobacco moth pests and pest situation occurrence rule investigation are the basis for well doing pest control work, and usually, after pests are trapped by a trap, the pest number of each day or each period is counted and pest occurrence rule is analyzed manually. Taking a flue-cured tobacco production county as an example, measuring and reporting points are usually required to be arranged in each tobacco planting village and town, and dozens of traps are required to be installed at each measuring and reporting point.
The existing measuring and reporting mode has the following defects: the trap quantity that needs to investigate and count is many, the statistical frequency is high, need invest certain personnel to count, lead to the statistical method data error big, work efficiency is low, cause the accuracy and the credibility of insect pest situation forecast to be low, and consume a large amount of operating time, increased the staff's expense of forecast work.
SUMMERY OF THE UTILITY MODEL
Based on the above, the utility model provides a tobacco pest forecast system based on believe platform a little can realize that the pest traps, the informationization of pest count, reduces a large amount of manual labor, reaches the intensity of labour who reduces the plant protection worker and improves the purpose of the accuracy of forecasting.
The technical scheme of the utility model is that: tobacco pest forecast system based on believe platform a little, including traping the cage, it is provided with the inlet port that is suitable for tobacco pest to get into on the cage to trape, still includes:
the detection counting device is arranged inside the inlet opening of the trapping cage and is used for detecting tobacco pests entering the trapping cage and generating a counting signal;
the controller comprises a main control module, a real-time clock module, a data storage module, a data receiving module, a GPS positioning module and a wireless transceiving module, wherein the main control module realizes the scheduling management function of each module, the detection counting device is connected with the data receiving module so as to transmit a counting signal to the controller in real time, the data storage module is used for storing and counting the counting signal and the associated time point and place of the counting signal, the time point is the time point data recorded by the real-time clock module when the counting signal is generated, and the place is the place data of the current position recorded by the GPS positioning module when the counting signal is generated;
the local server is in communication connection with the wireless transceiver module;
the cloud platform is in bidirectional communication with the local server through the Internet;
the WeChat service public platform is in bidirectional communication with the cloud platform through the Internet;
and the mobile terminal is in two-way communication with the WeChat service public platform through the Internet.
Optionally, the detecting and counting device includes an infrared emitter and an infrared receiver, which are correspondingly disposed on two opposite sides of the inlet port, and the tobacco pests entering the trap cage from the inlet port shield infrared signals of the infrared emitter and the infrared receiver, and generate counting signals.
Optionally, the outer surface of the inlet opening is coated with yellow or blue, the inlet opening is concave inwards and is in a pentagram shape, and the inlet opening is arranged on the outer side of the upper portion of the trap cage.
Optionally, the forecasting system further includes: and the illuminating lamp is arranged in the trapping cage and is suitable for attracting moth pests to enter the trapping cage.
Optionally, the forecasting system further includes: the solar cell panel is used for providing working voltage for the illuminating lamp, the detection counting device and the controller.
Optionally, the trap cage comprises a cage body and a cage cover, and the cage cover can be buckled on an upper opening of the cage body.
Optionally, a pest collecting bag is sleeved at the opening at the bottom end of the trapping cage.
Optionally, the mobile terminal is a smart phone, a PC, or an IPAD equipped with a personal wechat client.
Optionally, the cloud platform is a Sina cloud computing platform.
The utility model has the advantages that: when traping, will lure the cage to arrange in the field, will lure the core to place in traping the cage, the target pest gets into and traps the cage and trigger infrared sensor sensing signal, the signal is handled through the controller, real-time clock chip provides system time simultaneously, timestamp as the record insect trapping emergence moment, GPS orientation module takes notes the place data of current position, data after the processing transmit local server through wireless transceiver module, local server receives and traps the cage data after, make statistics of and analysis, at last with result data through new wave cloud computing platform, believe the user that the public platform transmits for the end of believe a little. The system can automatically count the number of the lured moth pests, perform statistical analysis to obtain the pest situation statistical results of each detection and report point, automatically transmit the lured and collected pest data to the mobile terminal, and completely carry out special pest collection, statistics and analysis without manpower and material resources, thereby greatly improving the accuracy of pest situation prediction and remarkably improving the working efficiency.
Drawings
FIG. 1 is a block diagram of a tobacco pest forecasting system based on a WeChat platform in an embodiment of the present invention;
FIG. 2 is a schematic block diagram of a tobacco pest forecasting system based on a WeChat platform in an embodiment of the present invention;
fig. 3 is a structural diagram of a controller according to an embodiment of the present invention;
description of reference numerals:
100 mobile terminals, 200 WeChat service public platforms, 300 cloud platforms, 400 local servers, 500 controllers, 600 trapping cages and 700 detection counting devices;
the system comprises a main control module 510, a real-time clock module 520, a GPS positioning module 530, a data receiving module 540, a data storage module 550 and a wireless transceiving module 560;
610 cage body, 620 cage cover, 630 inlet, 640 pest collecting bag, 650 illuminating lamp and 660 solar panel;
710 infrared transmitter, 720 infrared receiver.
Detailed Description
In order to make the above objects, features and advantages of the present invention more comprehensible, embodiments of the present invention are described in detail below with reference to the accompanying drawings. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. The present invention can be embodied in many different forms other than those specifically described herein, and it will be apparent to those skilled in the art that similar modifications can be made without departing from the spirit and scope of the invention, and it is therefore not to be limited to the specific embodiments disclosed below.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Referring to fig. 1 to 3, a tobacco pest forecasting system based on WeChat platform according to an embodiment of the present invention includes a trapping cage 600, a detecting and counting device 700, a controller 500, a local server 400, a cloud platform 300, a WeChat service public platform 200, and a mobile terminal 100.
The trap cage 600 is a cage body 610 structure with an opening at the bottom, and the cage body 610 can be made of transparent organic glass or plastic. Preferably, the trap cage 600 has a cylindrical upper part, a conical middle part with a large upper part and a small lower part, and a horn lower part with a small upper part and a large lower part, and the inner cavities of the upper part, the middle part and the lower part are communicated in sequence. Preferably, trap cage 600 includes a cage 610 and a cage cover 620, with cage cover 620 being snapably mounted over an upper opening of cage 610.
A plurality of access ports 630 adapted for moth pests to fly into the trap cage 600 are provided in the upper side of the trap cage 600. Preferably, the inlet 630 is concave and has a pentagram shape, and this structure makes it difficult for moth pests to enter and exit, so as to improve trapping efficiency. The outer surface of the inlet 630 is coated with yellow or blue fluorescent powder, which can also be the fluorescent powder of the color, so that the color-tropism of moths is fully utilized, and the moths can easily find the inlet 630 and smoothly enter the trap cage 600.
The pest collecting bag 640 is sleeved at the bottom opening of the trapping cage 600, and the pest collecting bag 640 can be taken down after moth pests are collected. In one example, pest collection bag 640 is a bungee net bag with bungee cords that is fitted over the lower end of trap cage 600 prior to use; after the pests are collected, the upper part of the collecting bag is gripped, and then the collecting bag is pulled downwards to separate the collecting bag from the cage body 610 of the trapping cage 600, so that the trapping of the moth pests is completed.
The detection and counting device 700 is mainly used for detecting moth pests entering the trapping cage 600 and generating a counting signal. Specifically, the detection and counting device 700 includes an infrared transmitter 710 and an infrared receiver 720, which are correspondingly disposed on two opposite sides of the inlet opening 630, the infrared transmitter 710 and the infrared receiver 720 are respectively electrically connected to the controller 500, and the infrared signal received by the infrared receiver 720 is weakened after the infrared signals of the infrared transmitter 710 and the infrared receiver 720 are shielded by the moth pests entering the trap cage 600 from the inlet opening 630, so as to generate a counting signal, which is transmitted to the controller 500. Preferably, the infrared transmitter 710 and the infrared receiver 720 are installed on the inner concave surfaces of the five-pointed star-shaped entrance 630, which are up and down or left and right, and due to the structure, the moth pests can easily get in and out, so that the problem of counting error caused when the moth pests mismove or fly out of the entrance 630 can be avoided.
The controller 500 includes a main control module 510, a real-time clock module 520, a data storage module 550, a data receiving module 540, a GPS positioning module 530, and a wireless transceiver module 560, and the main control module 510 implements scheduling management functions for each module. The detection counting device 700 is connected to the data receiving module 540, that is, the infrared transmitter 710 and the infrared receiver 720 are connected to the data receiving module 540, so as to transmit the counting signal to the controller 500 in real time, and the data storage module 550 is used to store and count the counting signal and the associated time point and location, where the time point is the time point data recorded by the real-time clock module 520 when the counting signal is generated, and the location is the location data of the current position recorded by the GPS positioning module 530 when the counting signal is generated.
When moth pests enter the trap cage 600 from the inlet 630, the moth pests trigger the infrared device to generate a counting signal, and when the controller 500 receives the counting signal, the time point and the location data recorded by the real-time clock module 520 and the counting signal are transmitted to the data storage module 550 to be stored, and the trapping number of the moth pests in a certain trapping time period is counted to form statistical information. For example, the statistical information may be a specific two-dimensional statistical table with time on the X-axis and the number of traps on the Y-axis, or may be the location on the X-axis and the number of traps on the Y-axis, and in other embodiments, the statistical information may be represented in a table form. The main control module 510 may be, for example, a single chip microcomputer, such as a system 8051 single chip microcomputer. The real time clock module 520 may be, for example, a clock chip, such as a DS1320 clock chip. The wireless transceiver module 560 may be a GPRS module.
And a lighting lamp 650 installed in the trap cage 600. The control terminal of the illumination lamp 650 is electrically connected to the controller 500, and the controller 500 controls the on/off of the illumination lamp. The illuminating lamp 650 is suitable for attracting moth pests to enter the trapping cage 600, and the illuminating lamp 650 can select a lamp tube or an LED lamp with corresponding light-emitting color according to the color-fastness of the moth pests.
The solar cell panel 660, the solar cell panel 660 provides the lighting lamp 650, the detection counting device 700 and the controller 500 with working voltage. In other embodiments, the illumination lamp 650, the detection and counting device 700, and the controller may be powered by the mains. Solar cell panel 660 is preferably installed at the upper end face of trapping cage 600, can effectively absorb sunlight for charging, improves electric power support for trapping cage 600.
The local server 400 is communicatively connected to the wireless transceiver module 560. A local server 400 is configured in a flue-cured tobacco planting county, and the main function of the local server 400 is to perform centralized management on insect pest forecasting trapping cages 600 in the county, and the local server has control and data processing functions. The local server 400 mainly processes and forwards data, and is a hub and a data processing center for data transmission of the whole system. The local server 400 processes humidity and appearance photo information collected by the monitoring terminal when the tobacco seedlings are aired, and receives command information sent from the cloud platform 300.
In one example, the local server 400 employs the VisualStudio 2010 as a development platform under the Windows operating system; the local server 400 is written in the C # language. The receiving of sensor data is transmitted by TCP and the receiving of pictures is performed by UDP. The local Server 400 saves the real-time data transmitted from the monitoring end to the database developed by SQL Server 2008. The local server 400 receives the information transmitted from each communication module and forwards the information to the cloud platform 300.
The cloud platform 300 performs bidirectional communication with the local server 400 via the internet. Specifically, the cloud platform 300 may employ a sinewave cloud computing platform SAE, which is a transfer station for communicating the wechat service public platform 200 with the local server 400, and is used for processing and forwarding instructions sent by the flue-cured tobacco technicians. After receiving the request of the wechat user, the new wave cloud computing platform transmits the analyzed message to the local server 400, calculates the message to be returned to the user according to the user content and the server logic of the new wave cloud computing platform, and then returns the message to the wechat user.
The WeChat service public platform 200 is in bidirectional communication with the cloud platform 300 through the internet. Specifically, the wechat service public platform 200 specifies its own background server through a web address URL and Token, where the URL is a URL of the new wave cloud computing platform in the present embodiment, where Token can be filled in by a developer and used to generate a signature, which is a conventional technology and will not be described in detail herein.
The mobile terminal 100 is in bidirectional communication with the wechat service public platform 200 through the internet. The mobile terminal 100 is a conventional electronic device such as a smart phone, a PC, or an IPAD. The mobile terminal 100 is installed with a wechat client, and can access the wechat service public platform 200 by logging in the wechat client, and issue control instructions, such as viewing pest information captured by each trap cage 600, and controlling the on/off of the illuminating lamp 650.
This system will trap cage 600, the server combines together with the believe a little, the function of believe a little end is mainly for the insect pest forecast condition of each survey report point of remote reception, believe a little administrative user simultaneously can send out the instruction of opening, closing trap cage 600 device light 650, the switch that can remote control light 650 lamp, because moth class can be lured through light to the light 650 light source, need not turn on the lamp when light is sufficient daytime, need turn on the lamp when light is dim evening or night, forecast managers can be according to the switch of weather condition remote control light 650, improve the efficiency of trapping of trap cage 600. The user can remotely receive forecast data and remotely control the trap cage 600 without installing independent mobile phone App software.
When trapping, will trap cage 600 and place in the field, will lure the core to place in trapping cage 600, target pest gets into trapping cage 600 and triggers infrared sensor sensing signal, the signal is handled through controller 500, real-time clock chip provides system time simultaneously, as the timestamp of record insect-catching emergence moment, GPS orientation module 530 records the place data of current position, data after the processing transmit for local server 400 through wireless transceiver module 560, local server 400 receives behind trapping cage 600 data, make statistics of and analysis, pass through new wave cloud computing platform with the result data at last, the user of little letter end is transmitted for in the public platform of little letter. The system can automatically count the number of the lured moth pests, perform statistical analysis to obtain the pest situation statistical results of each detection and report point, automatically transmit the lured and collected pest data to the mobile terminal 100, and completely carry out special pest collection, statistics and analysis without manpower and material resources, thereby greatly improving the accuracy of pest situation prediction and remarkably improving the working efficiency.
The above-mentioned embodiments only represent some embodiments of the present invention, and the description thereof is specific and detailed, but not to be 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. Therefore, the protection scope of the present invention should be subject to the appended claims.
Claims (9)
1. Tobacco pest forecast system based on believe platform a little, including traping cage (600), be provided with entry port (630) that are suitable for tobacco pest to get into on traping cage (600), its characterized in that still includes:
a detection counting device (700) arranged inside the inlet opening (630) of the trap cage (600) for detecting tobacco pests entering the trap cage (600) and generating a counting signal;
the controller (500) comprises a main control module (510), a real-time clock module (520), a data storage module (550), a data receiving module (540), a GPS positioning module (530) and a wireless transceiving module (560), wherein the main control module (510) realizes the scheduling management function of each module, the detection counting device (700) is connected with the data receiving module (540) so as to transmit counting signals to the controller (500) in real time, the data storage module (550) is used for storing and counting the counting signals and the associated time points and places of the counting signals, the time points are the time point data recorded by the real-time clock module (520) when the counting signals are generated, and the places are the place data of the current position recorded by the GPS positioning module (530) when the counting signals are generated;
a local server (400), the local server (400) being communicatively coupled to the wireless transceiver module (560);
a cloud platform (300), the cloud platform (300) and the local server (400) being in bidirectional communication via the internet;
the WeChat service public platform (200), the WeChat service public platform (200) and the cloud platform (300) carry out two-way communication through the Internet;
the mobile terminal (100) and the WeChat service public platform (200) are in two-way communication through the Internet.
2. A WeChat platform based tobacco pest forecasting system according to claim 1, wherein the detection and counting device (700) comprises an infrared transmitter (710) and an infrared receiver (720) correspondingly disposed on two opposite sides of the access opening (630), and tobacco pests entering the trap cage (600) from the access opening (630) shield the infrared signals of the infrared transmitter (710) and the infrared receiver (720) and generate counting signals.
3. A WeChat platform based tobacco pest forecasting system according to claim 1, characterized in that the exterior surface of the access port (630) is coated with yellow or blue, the access port (630) is concave inward and in a pentagram shape, the access port (630) is disposed outside the upper portion of the trap cage (600).
4. The WeChat platform-based tobacco pest forecasting system according to claim 1, further comprising:
an illumination lamp (650) disposed within the trap cage (600), the illumination lamp (650) adapted to attract moth pests into the trap cage (600).
5. The WeChat platform-based tobacco pest forecasting system according to claim 4, further comprising:
a solar panel (660), the solar panel (660) providing operating voltage for the illumination lamp (650), the detection and counting device (700), and the controller (500).
6. The WeChat platform-based tobacco pest forecasting system according to claim 1, characterized in that the trap cage (600) comprises a cage body (610) and a cage cover (620), and the cage cover (620) can be buckled on the upper opening of the cage body (610).
7. The WeChat platform-based tobacco pest forecasting system according to claim 1, characterized in that a pest collecting bag (640) is sleeved at the bottom opening of the trap cage (600).
8. The WeChat platform-based tobacco pest forecasting system according to claim 1, wherein the mobile terminal (100) is a smart phone, a PC or an IPAD equipped with a personal WeChat client.
9. The WeChat platform-based tobacco pest forecasting system according to claim 1, wherein the cloud platform (300) is a Sina cloud computing platform.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020337622.4U CN211881841U (en) | 2020-03-18 | 2020-03-18 | Tobacco pest detecting and forecasting system based on WeChat platform |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202020337622.4U CN211881841U (en) | 2020-03-18 | 2020-03-18 | Tobacco pest detecting and forecasting system based on WeChat platform |
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| CN211881841U true CN211881841U (en) | 2020-11-10 |
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| CN202020337622.4U Expired - Fee Related CN211881841U (en) | 2020-03-18 | 2020-03-18 | Tobacco pest detecting and forecasting system based on WeChat platform |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114304097A (en) * | 2021-12-31 | 2022-04-12 | 广西真典科技有限公司 | Intelligent insect condition forecasting device and insect pest monitoring method thereof |
-
2020
- 2020-03-18 CN CN202020337622.4U patent/CN211881841U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114304097A (en) * | 2021-12-31 | 2022-04-12 | 广西真典科技有限公司 | Intelligent insect condition forecasting device and insect pest monitoring method thereof |
| CN114304097B (en) * | 2021-12-31 | 2023-08-18 | 广西真典科技有限公司 | Intelligent insect condition observation and report equipment and insect pest monitoring method thereof |
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