CN116248656A - Remote real-time pest forecasting system based on Internet of things - Google Patents

Remote real-time pest forecasting system based on Internet of things Download PDF

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Publication number
CN116248656A
CN116248656A CN202310220676.0A CN202310220676A CN116248656A CN 116248656 A CN116248656 A CN 116248656A CN 202310220676 A CN202310220676 A CN 202310220676A CN 116248656 A CN116248656 A CN 116248656A
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China
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module
pest
remote real
internet
forecasting system
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CN202310220676.0A
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Chinese (zh)
Inventor
张欣
黄梦怡
朱天雨
施锦华
曹栩丽
宋海林
任子荣
陈新
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Changzhou University
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Changzhou University
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Priority to CN202310220676.0A priority Critical patent/CN116248656A/en
Publication of CN116248656A publication Critical patent/CN116248656A/en
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    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01M—CATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
    • A01M1/00—Stationary means for catching or killing insects
    • A01M1/10—Catching insects by using Traps
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01M—CATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
    • A01M1/00—Stationary means for catching or killing insects
    • A01M1/02—Stationary means for catching or killing insects with devices or substances, e.g. food, pheronones attracting the insects
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01M—CATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
    • A01M1/00—Stationary means for catching or killing insects
    • A01M1/02—Stationary means for catching or killing insects with devices or substances, e.g. food, pheronones attracting the insects
    • A01M1/04—Attracting insects by using illumination or colours
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06M—COUNTING MECHANISMS; COUNTING OF OBJECTS NOT OTHERWISE PROVIDED FOR
    • G06M1/00—Design features of general application
    • G06M1/27—Design features of general application for representing the result of count in the form of electric signals, e.g. by sensing markings on the counter drum
    • G06M1/272—Design features of general application for representing the result of count in the form of electric signals, e.g. by sensing markings on the counter drum using photoelectric means
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/10—Image acquisition
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y10/00—Economic sectors
    • G16Y10/05—Agriculture
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y20/00—Information sensed or collected by the things
    • G16Y20/10—Information sensed or collected by the things relating to the environment, e.g. temperature; relating to location
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/10—Detection; Monitoring
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/30—Control
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • 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
    • Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

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  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Pest Control & Pesticides (AREA)
  • Computing Systems (AREA)
  • Insects & Arthropods (AREA)
  • Wood Science & Technology (AREA)
  • Zoology (AREA)
  • Environmental Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • General Health & Medical Sciences (AREA)
  • Development Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Multimedia (AREA)
  • Economics (AREA)
  • Environmental & Geological Engineering (AREA)
  • Agronomy & Crop Science (AREA)
  • Toxicology (AREA)
  • Accounting & Taxation (AREA)
  • Business, Economics & Management (AREA)
  • Medical Informatics (AREA)
  • Catching Or Destruction (AREA)

Abstract

The invention relates to the technical field of fixed devices for capturing or killing insects, in particular to a remote real-time pest measuring and reporting system based on the Internet of things. The remote real-time pest forecasting system feeds investigation data back to a monitoring center for analysis through the technologies of image recognition, remote monitoring, transmission and control of the Internet of things on the basis of the traditional crop pest forecasting habit and experience, a remote crop pest forecasting network is constructed, the dynamic evolution process of pest population development is timely obtained, and the accuracy and timeliness of forecasting are improved.

Description

Remote real-time pest forecasting system based on Internet of things
Technical Field
The invention relates to the technical field of fixed devices for capturing or killing insects, in particular to a remote real-time pest measuring and reporting system based on the Internet of things.
Background
Insect pheromones are a generic term for compounds used in communication between insects, consisting of specific chemical molecules. In which the pheromone used to convey mating signals is called sex pheromone. Sex pheromone has the characteristics of high specificity and high sensitivity, so that the sex pheromone is widely applied to pest detection and report all the time. The traditional sex pheromone trapper relies on manual arrangement and count quantity, so efficiency is not high, and single solar energy measuring and reporting device needs the manual work to collect the sample, gathers data, has very strong limitation, can't real-time dynamic observation worm condition, and informatization degree is not high.
Disclosure of Invention
In order to solve the problems of the existing manual sample collection, data acquisition and strong limitation, the invention provides the remote real-time pest monitoring and reporting system based on the Internet of things, which is used for carrying out statistical analysis on the acquired data through the main control module and transmitting the data to a terminal mechanism by utilizing the Internet of things technology, so that the real-time pest monitoring and reporting is convenient, and the accuracy of pest monitoring and counting is improved.
The invention provides a remote real-time pest measuring and reporting system based on the Internet of things, which comprises a trapping mechanism, a control mechanism and a terminal mechanism, wherein the trapping mechanism comprises a trap and a counter, the counter is used for detecting pests entering the trap and generating counting signals, the control mechanism comprises a main control module, a data receiving module, a data storage module, a clock module, a positioning module and a weather monitoring module, the main control module is used for carrying out scheduling management on the modules, the data receiving module is used for receiving the counting signals generated by the counter, the clock module and the positioning module are respectively used for monitoring the time and the position generated by the counting signals, the weather monitoring module is used for recording image information such as weather conditions, temperature and humidity and on-site pictures, the data storage module is used for storing and counting the counting signals with the time, the position and the image information, the terminal mechanism comprises a smart phone, a PC or an IPAD, the main control module is used for transmitting the counting signals to the terminal mechanism through the Internet of things technology, and the main control module is connected with a plurality of trapping mechanisms respectively arranged at different monitoring points. The main control module can upload data to the cloud in real time, so that the monitoring of operators is facilitated, the range of pest monitoring and forecasting coverage can be increased by increasing the trapping mechanism, the accuracy of pest monitoring and counting is improved, a whole set of monitoring and forecasting system is not required to be increased, and the equipment cost is greatly saved.
Further, the weather monitoring module comprises a weather sensor, a temperature and humidity sensor, an illumination intensity sensor, a wind speed sensor, an air pressure sensor and a shooting cradle head, and the control mechanism further comprises a fixed base for installing each module. And respectively acquiring data and images such as weather, temperature, humidity, illumination, wind speed, air pressure and the like, and providing basis for analyzing pest occurrence rules.
Further, the trapping mechanism further comprises a mounting bracket which is used for being inserted into the soil for use, and a ground needle is further arranged at the bottom of the mounting bracket. The mounting bracket provided with the ground needle is convenient for easy insertion and installation of the trapping mechanism.
Further, the device also comprises a photovoltaic module for supplying power to the trapping mechanism, wherein the photovoltaic module and the trapper are fixedly arranged on the mounting bracket. The whole measuring and reporting system is powered by the photovoltaic module.
Further, the photovoltaic module comprises a photovoltaic plate, a storage battery, an inverter and a high-voltage package, wherein the output end of the photovoltaic plate is electrically connected with the input end of the inverter, the output end of the inverter is electrically connected with the input end of the high-voltage package, and the output end of the high-voltage package is electrically connected with the input end of the storage battery. The battery is charged with electric power, and the battery supplies electric power for the operation of the hardware.
Further, the trapper comprises a cylinder shell, a trapping conical net, a buffer cover and an insect blowing fan, wherein the bottom of the trapping conical net is an insect inlet, the top of the trapping conical net is an insect outlet, the trapping conical net is arranged in the cylinder shell, the buffer cover is arranged at the top of the cylinder shell, and the insect blowing fan is arranged in the trapping conical net and blows air towards the insect outlet. Insect is induced into the buffer cover through the trapping conical net with the built-in insect blowing fan.
Further, the pest outlet is provided with a pest counting tube which is vertically arranged at the top of the trapping conical net, and three infrared grating counters are longitudinally arranged outside the pest counting tube. Pest entering the buffer cover is counted through the pest counting tube provided with a plurality of counters, and later analysis is facilitated.
Further, the insect inlet of the trapping conical net is also provided with a collecting cover, and the trapping conical net is provided with a trap core or a trap lamp. The collecting cover is in a horn shape, so that the pest climbing inlet is increased, and the pest is convenient to climb in.
Further, the trapper further comprises an air injection assembly, the air injection assembly comprises an air gun, an air storage tank and an air pump, an air outlet of the air pump is connected with an air inlet of the air storage tank, an air outlet of the air storage tank is connected with an air inlet of the air gun, an air outlet of the air gun is arranged on the inner wall of the cache cover, and the air pump is electrically connected with the main control module. Through the air gun in the buffer memory cover, the insect corpse induced into the buffer memory cover is blown and cleaned.
Further, the terminal mechanism includes a display screen on which a fault list display, a device list display, an alarm list display, and a total data list display are classified. The split screen displays various information, so that the method is more visual.
The invention has the beneficial effects that:
the invention provides a remote real-time pest forecasting system based on the Internet of things, which feeds investigation data back to a monitoring center for analysis through the technologies of image recognition, remote monitoring, transmission and control of the Internet of things on the basis of traditional crop pest forecasting habits and experiences, builds a remote crop pest forecasting network, timely acquires a dynamic evolution process of pest population development, and improves forecasting accuracy and timeliness.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a remote real-time pest forecasting system;
fig. 2 is a schematic view of the external structure of the trap;
fig. 3 is a schematic view of the internal structure of the trap;
in the figure, a mounting bracket, a ground needle, a cylindrical shell, a trapping conical net, a 31 insect inlet, a 32 insect outlet, a 4 buffer cover, a 5 insect blowing fan, a 6 insect counting tube, a 7 infrared grating counter, a 8 collecting cover, a 9 air injection component and a 10 photovoltaic component are arranged.
Detailed Description
The following description of the embodiments of the present invention will be made apparent and fully in view of the accompanying drawings, in which some, but not all embodiments of the invention are shown.
In order to analyze and forecast the dynamic evolution process of pest population occurrence and development, a pest remote real-time forecasting system based on the Internet of things is designed, as shown in fig. 1, the pest remote real-time forecasting system comprises a trapping mechanism, a control mechanism and a terminal mechanism, wherein the trapping mechanism comprises a trap and a counter, the counter is used for detecting pests entering the trap and generating counting signals, the control mechanism comprises a main control module, a data receiving module, a data storage module, a clock module, a GPS positioning module and a weather monitoring module, the main control module is used for carrying out scheduling management on each module, the data receiving module is used for receiving the counting signals generated by the counter, the clock module and the positioning module are used for monitoring time and position generated by the counting signals, the weather monitoring module is used for recording image information such as weather conditions, temperature and humidity, on-site pictures and the like, the data storage module is used for storing and counting signals with time, position and image information, and the terminal mechanism comprises a smart phone, a PC or an IPAD.
The trapping mechanism attracts pests through the trapping core, the shooting cradle head shoots images of the pests falling into the buffer cover 4 at fixed time, the shot images and field environment information of corresponding time points detected by the weather monitoring module are sent to the data center of the main control module, and pest image detection software of the data center analyzes the images to obtain the number of the pests. Firstly, preprocessing is needed to be carried out on a sent back image, unnecessary noise (due to factors such as weather change and imaging background) interference is removed, data are cleaned, after a pest image with certain quality is obtained, a self-adaptive deep learning frame is adopted, and characteristics of pest objects are extracted, detected and classified and integrated into a unified frame so as to obtain the number and the types of pests in the image, so that manual intervention is avoided, and the intellectualization of the system is realized. The GPS positioning module is used for recording the position data of the trapping mechanism in real time, so that support is provided for drawing the pest occurrence map.
The main control module is a control core of the system, the counting signals are transmitted to the terminal mechanism through the Internet of things technology, and the main control module is connected with a plurality of trapping mechanisms which are respectively arranged at different monitoring points. One control mechanism can be connected with a plurality of trapping mechanisms, the range covered by pest condition observation and report can be increased only by increasing the trapping mechanisms, the accuracy of pest monitoring and counting is improved, a whole set of observation and report system is not required to be increased, and the equipment cost is greatly saved.
The weather monitoring module comprises a weather sensor, a temperature and humidity sensor, an illumination intensity sensor, a wind speed sensor, an air pressure sensor and a shooting cradle head, and the control mechanism further comprises a fixed base used for installing each module. The weather sensor, the temperature and humidity sensor, the illumination intensity sensor, the wind speed sensor and the air pressure sensor are used for respectively obtaining data of weather, temperature and humidity, illumination intensity, wind speed and air pressure, recording the data and simultaneously collecting data of temperature, humidity, light intensity and air pressure affecting adults, and providing basis for analyzing pest occurrence rules. The shooting cradle head comprises a camera and an image acquisition card, the camera is opposite to the cache cover 4, the camera is connected with the main control module through the image acquisition card, the camera is triggered to start according to an instruction or timing to shoot pest images in the cache cover 4, and the images are sent into the main control module after being processed by the image acquisition card and are transmitted to the terminal mechanism after being processed by the main control module.
The terminal mechanism comprises a display screen, wherein the display screen is divided into fault list display, equipment list display, alarm list display and total data list display. The alarm list display can carry out alarm prompt of more pests, the fault list display can carry out fault backup work, the equipment list display can display specific position information of a plurality of trapping mechanisms connected on the corresponding main control module, and the total data list display carries out statistics display on pest amounts of all trapping mechanisms.
As shown in fig. 2, the trapping mechanism further comprises a mounting bracket 1 for being inserted into the ground, and a ground needle 11 is further arranged at the bottom of the mounting bracket 1. The ground needle 11 and the mounting bracket 1 are of an integrated structure, and the trapping mechanism can be stably inserted into a field through the ground needle 11 so as to stably perform pest detection and report.
The device also comprises a photovoltaic module 10 for supplying power to the trapping mechanism, wherein the photovoltaic module 10 and the trapper are fixedly arranged on the mounting bracket 1. Specifically, the photovoltaic module 10 includes a photovoltaic panel, a storage battery, an inverter, and a high-voltage package, wherein an output end of the photovoltaic panel is electrically connected with an input end of the inverter, an output end of the inverter is electrically connected with an input end of the high-voltage package, and an output end of the high-voltage package is electrically connected with an input end of the storage battery. The storage battery is charged with electric power through the photovoltaic panel, and the storage battery provides electric power for the operation of each module.
As shown in fig. 3, the trap comprises a cylinder housing 2, a trap conical net 3, a buffer cover 4 and an insect blowing fan 5, wherein the bottom of the trap conical net 3 is an insect inlet 31, the top of the trap conical net is an insect outlet 32, the trap conical net 3 is arranged in the cylinder housing 2, the buffer cover 4 is arranged at the top of the cylinder housing 2, and the insect blowing fan 5 is arranged in the trap conical net 3 and blows air towards the insect outlet 32.
When the insect trap is used, the traps are arranged at different positions of the field, and the trap cores or the trap lamps are placed in the trap conical net 3, so that the insect trap can be used for trapping insect adults in the field. The air current blows away the pheromone smell molecules released by the lure core, spread in the field, the insect adults at a distance are attracted by the smell released by the lure core, fly to the trapper, the cylinder shell 2 is transparent yellow, black or green, wherein transparent acrylic materials are optimal, the yellow, black or green vision of the cylinder shell 2 attracts to play a synergistic role, the insect adults near the periphery of the trapping device fly into the insect inlet 31 at the bottom of the trapping cone net 3 under the action of the attractant at the position of the lure core, fly upwards or crawl to the insect outlet 32 along with the air, fall into the buffer cover 4, the insect entering the buffer cover 4 dies due to the fact that the insect cannot find an outlet, then fall to a collecting cavity between the outer wall of the trapping cone net 3 and the inner wall of the cylinder shell 2, the annular insect guide plate which is convenient for collecting the insect corpses is obliquely arranged outside the trapping cone net 3, the insect corpses can be guided to the lower part of the cylinder shell 2, and the insect fetching port is arranged at the corresponding position of the lower part of the cylinder shell 2.
For accurately counting pests, the pest outlet 32 is provided with a pest counting tube 6, the pest counting tube 6 is vertically arranged at the top of the trapping conical net 3, and three infrared grating counters 7 are longitudinally arranged outside the pest counting tube 6. Through setting up a plurality of counters, can guarantee to leak the condition of count or count more, only three counter all have the pest of record and just can record into pest quantity.
In order to facilitate the insect to climb in, the insect inlet 31 of the trapping cone net 3 is also provided with a collecting cover 8, and the trapping cone net 3 is provided with a trap core or trap lamp. Collection cover 8 increases pest inlet size.
In order to avoid the pest corpse to remain in the trapper, the trapper still includes jet assembly 9, and jet assembly 9 includes air gun, gas holder and air pump, and the gas inlet of gas holder is connected to the gas outlet of air pump, and the gas inlet of air gun is connected to the gas outlet of gas holder, and the gas outlet of air gun sets up in cache cover 4 inner wall, air pump and main control module electric connection. The air gun is circumferentially arranged on the inner wall of the buffer cover 4, and air in the air storage tank is sprayed into the buffer cover 4 through the air pump by the air gun, so that the pest corpse trapped in the buffer cover 4 is cleaned up, and residues are avoided.
The above description is illustrative of the invention and is not to be construed as limiting, and it will be understood by those skilled in the art that many modifications, changes or equivalents may be made without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (10)

1. Remote real-time pest measuring and forecasting system based on Internet of things is characterized by comprising
A trapping mechanism including a trap and a counter for detecting pests entering the trap and generating a count signal,
the control mechanism comprises a main control module, a data receiving module, a data storage module, a clock module, a positioning module and a weather monitoring module, wherein the main control module is used for carrying out scheduling management on each module, the data receiving module is used for receiving counting signals generated by a counter, the clock module and the positioning module are used for monitoring time and position generated by the counting signals respectively, the weather monitoring module is used for recording image information such as weather conditions, temperature and humidity, on-site pictures and the like, the data storage module is used for storing and counting signals with time, position and image information, and
a terminal mechanism comprising a smart phone, a PC or an IPAD,
the main control module transmits counting signals to the terminal mechanism through the Internet of things technology, and the main control module is connected with a plurality of trapping mechanisms which are respectively arranged at different monitoring points.
2. The remote real-time pest forecasting system based on the internet of things according to claim 1, wherein the remote real-time pest forecasting system is characterized in that: the weather monitoring module comprises a weather sensor, a temperature and humidity sensor, an illumination intensity sensor, a wind speed sensor, an air pressure sensor and a shooting cradle head, and the control mechanism further comprises a fixed base used for installing each module.
3. The remote real-time pest forecasting system based on the internet of things according to claim 1, wherein the remote real-time pest forecasting system is characterized in that: the trapping mechanism further comprises a mounting bracket (1) which is used for being inserted into the ground, and a ground needle (11) is further arranged at the bottom of the mounting bracket (1).
4. The remote real-time pest forecasting system based on the Internet of things, which is characterized in that: the novel trapper also comprises a photovoltaic assembly (10) for supplying power to the trapper mechanism, and the photovoltaic assembly (10) and the trapper are fixedly arranged on the mounting bracket (1).
5. The remote real-time pest forecasting system based on the Internet of things according to claim 4, wherein the remote real-time pest forecasting system is characterized in that: the photovoltaic module (10) comprises a photovoltaic panel, a storage battery, an inverter and a high-voltage package, wherein the output end of the photovoltaic panel is electrically connected with the input end of the inverter, the output end of the inverter is electrically connected with the input end of the high-voltage package, and the output end of the high-voltage package is electrically connected with the input end of the storage battery.
6. The remote real-time pest forecasting system based on the internet of things according to claim 1, wherein the remote real-time pest forecasting system is characterized in that: the trapper comprises a cylindrical shell (2), a trapper conical net (3), a buffer cover (4) and an insect blowing fan (5), wherein the bottom of the trapper conical net (3) is an insect inlet (31), the top of the trapper conical net is an insect outlet (32), the trapper conical net (3) is arranged in the cylindrical shell (2), the buffer cover (4) is arranged at the top of the cylindrical shell (2), and the insect blowing fan (5) is arranged in the trapper conical net (3) and blows air towards the insect outlet (32).
7. The internet of things-based remote real-time pest forecasting system of claim 6, wherein: the pest outlet (32) is provided with a pest counting tube (6), the pest counting tube (6) is vertically arranged at the top of the trapping conical net (3), and three infrared grating counters (7) are longitudinally arranged outside the pest counting tube (6).
8. The internet of things-based remote real-time pest forecasting system of claim 6, wherein: the insect inlet (31) of the trapping conical net (3) is also provided with a collecting cover (8), and the trapping conical net (3) is provided with a trap core or a trap lamp.
9. The internet of things-based remote real-time pest forecasting system of claim 6, wherein: the trapper further comprises an air injection assembly (9), the air injection assembly (9) comprises an air gun, an air storage tank and an air pump, an air outlet of the air pump is connected with an air inlet of the air storage tank, an air outlet of the air storage tank is connected with an air inlet of the air gun, an air outlet of the air gun is arranged on the inner wall of the cache cover (4), and the air pump is electrically connected with the main control module.
10. The remote real-time pest forecasting system based on the internet of things according to claim 1, wherein the remote real-time pest forecasting system is characterized in that: the terminal mechanism comprises a display screen, and the display screen is divided into a fault list display, a device list display, an alarm list display and a total data list display.
CN202310220676.0A 2023-03-09 2023-03-09 Remote real-time pest forecasting system based on Internet of things Pending CN116248656A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117223691A (en) * 2023-10-31 2023-12-15 农芯(南京)智慧农业研究院有限公司 Intelligent trapping system and method for agricultural and forestry pests

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117223691A (en) * 2023-10-31 2023-12-15 农芯(南京)智慧农业研究院有限公司 Intelligent trapping system and method for agricultural and forestry pests
CN117223691B (en) * 2023-10-31 2024-02-27 农芯(南京)智慧农业研究院有限公司 Intelligent trapping system and method for agricultural and forestry pests

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