CN110798536A - Cloud pest remote monitoring system and method - Google Patents
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- CN110798536A CN110798536A CN201911102987.7A CN201911102987A CN110798536A CN 110798536 A CN110798536 A CN 110798536A CN 201911102987 A CN201911102987 A CN 201911102987A CN 110798536 A CN110798536 A CN 110798536A
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- 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
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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
- A01M1/02—Stationary means for catching or killing insects with devices or substances, e.g. food, pheronones attracting the insects
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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
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/35—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering with light sensitive cells
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- 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
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- 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
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/66—Remote control of cameras or camera parts, e.g. by remote control devices
- H04N23/661—Transmitting camera control signals through networks, e.g. control via the Internet
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/025—Services making use of location information using location based information parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- Pest Control & Pesticides (AREA)
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- Zoology (AREA)
- Environmental Sciences (AREA)
- Wood Science & Technology (AREA)
- Insects & Arthropods (AREA)
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Abstract
The invention relates to the field of pest monitoring, in particular to a cloud pest remote monitoring system and a cloud pest remote monitoring method; the system comprises a trap, a camera, a network communicator, a micro-control terminal, a cloud server and a client; trapping pests near a monitoring point, shooting the trapping situation of the pests in the trap by using a camera to generate field real-time pest image data, and accessing a cloud server by client software through a network to acquire and display the data; monitoring personnel can check the displayed real-time insect images, confirm the types and the number of insects in the traps, and further judge whether the insects happen or not, the types of the insects and the degree of the insects; the monitoring personnel need not the monitoring point and can observe the insect pest condition of monitoring point, and can monitor the insect pest condition of a plurality of monitoring points simultaneously, effectively solves among the prior art and expends the manpower to the insect pest monitoring, and has the condition that the monitoring is untimely, not in place, influences the monitoring effect of insect pest.
Description
Technical Field
The invention relates to the technical field of pest monitoring, in particular to a system and a method for remotely monitoring pests at the cloud end.
Background
The influence of insect pests on plants such as agricultural and forestry crops is well known, scientific researchers in the fields of agriculture, forestry and plants are dedicated to the prevention and treatment of the insect pests all the time, the commonly used prevention and treatment method mainly comprises mechanical capture or medicine spraying, the mechanical capture has certain passivity, so the medicine spraying has good effect on the prevention and treatment of the insect pests, but the medicine spraying has pollution to the environment and is dangerous to be eaten by animals by mistake, and the medicine is also time-efficient, so the medicine spraying method mainly comprises the spraying of the corresponding positions when the insect pests occur; therefore, the method is particularly important for finding the occurrence of pests in time and determining the types of the pests; at present, the monitoring of the insect pests is that the plants or crops to be protected are observed manually at regular intervals, but when the area needing to be observed is large, the mode of regular observation consumes manpower, and the monitoring effect on the insect pests can be influenced in time.
Therefore, in view of the above problems, the present invention is to provide a new system and method for remotely monitoring pests in cloud.
Disclosure of Invention
The invention aims to provide a novel remote monitoring system and method for pests in the cloud, and the technical problems that the monitoring of the pests is not timely labor-consuming and the monitoring effect of the pests is influenced in the prior art are solved through the trapper, the camera, the network communicator, the micro-control terminal and the client.
The invention provides a cloud pest remote monitoring system, which comprises:
the trap is arranged at a monitoring point and is used for attracting surrounding insects;
the camera is used for shooting the insect images in the trapper according to a shooting instruction issued by the micro-control terminal, correspondingly generating real-time insect image data and sending the real-time insect image data to the micro-control terminal;
the micro-control terminal is used for generating a shooting instruction at regular time, sending the shooting instruction to the camera, acquiring real-time insect image data and sending the real-time insect image data to the network communicator;
the network communicator is used for sending the collected real-time insect image data to the cloud server, and is responsible for receiving and transmitting the data and carrying out data interaction with the cloud server;
the cloud server is used for receiving the real-time insect image data, converting the real-time insect image data into insect images, identifying and counting the insect images and then sending the types and the number of the insects to the client;
and the client is used for receiving and displaying the types and the number of the insects.
Further, the client is also used for inputting an image acquisition command to the cloud server; the cloud server is further used for sending an image acquisition command to the micro control terminal through the network communicator; the micro control terminal is also used for generating a shooting instruction according to the image acquisition command and sending the shooting instruction to the camera.
Furthermore, the camera is electrically connected with the micro control terminal, the micro control terminal is electrically connected with the network communicator, the cloud server is electrically connected with the network communicator, and the client is electrically connected with the cloud server.
Furthermore, the system also comprises a temperature and humidity sensor, and the temperature and humidity sensor is electrically connected with the micro control terminal.
Further, the solar cell panel and the lithium battery are also included; the solar cell panel is electrically connected with the lithium battery, and the micro control terminal is electrically connected with the lithium battery.
Further, the system also comprises a cloud storage server, wherein the cloud storage server is electrically connected with the cloud server.
Furthermore, the system also comprises a GPS positioning receiver which is electrically connected with the micro-control terminal.
The lithium battery, the temperature and humidity sensor and the network communicator are all arranged in the protection box; and the wall of the protection box is provided with a ventilation hole.
Furthermore, the device also comprises a positioning fixing column; the solar cell panel, the trapper and the protection box are sequentially arranged on the positioning fixing column from top to bottom.
The invention also provides an intelligent pest remote monitoring method, which comprises the following steps:
attracting surrounding insects with a trap placed at a monitoring point;
generating a shooting instruction by using the micro-control terminal and sending the shooting instruction to the camera,
shooting the insect images in the trapper according to shooting instructions by using the camera, correspondingly generating real-time insect image data and sending the real-time insect image data to the micro-control terminal;
acquiring real-time insect image data by using the micro-control terminal and sending the real-time insect image data to a network communicator;
the network communicator is used for sending the insect image data to a cloud server, and is responsible for receiving and transmitting the data and carrying out data interaction with the cloud server;
receiving real-time insect image data by the cloud server, converting the real-time insect image data into insect images, identifying and counting the insect images, and sending the types and the number of the insects to the client;
and receiving and displaying the types and the number of the insects by the client.
Compared with the prior art, the invention has the following progress:
1. the remote monitoring system for pests at the cloud end provided by the invention adopts the design comprising the trapper, the camera, the network communicator, the micro-control terminal, the cloud server and the client end; trapping pests near a monitoring point, trapping the pests into the trap, shooting the pest conditions in the trap by using the camera, generating real-time pest image data, sending the real-time pest image data to the client through the network communicator and the cloud server, and displaying the real-time pest image data on the client; monitoring personnel can see the types and the number of insects in the trap by observing the real-time insect images, and further judge whether the insect pests occur, the types of the insect pests and the degree of the insect pests; monitoring personnel can observe the insect pest situation of the monitoring points without reaching the monitoring points, and can monitor the insect pest situation of a plurality of monitoring points simultaneously, thereby effectively solving the technical problems that the monitoring of insect pests does not consume manpower in time and the monitoring effect of insect pests is influenced in the prior art; and real-time worm image data are sent at regular time, so that resources are saved.
2. The remote monitoring system for pests in the cloud end provided by the invention further comprises a temperature and humidity sensor, wherein the temperature and humidity sensor is electrically connected with the micro control terminal; and acquiring the temperature and humidity conditions of the monitoring points, and displaying the temperature and humidity conditions at the client side for the auxiliary judgment of monitoring personnel.
3. The cloud pest remote monitoring system further comprises the solar cell panel and the energy storage battery; the solar cell panel is electrically connected with the lithium battery, and the micro control terminal is electrically connected with the lithium battery; the power supply system is used for supplying power to the electric appliances at the monitoring points, does not need to be connected to a power grid, saves electric wires, can be used in remote areas, enlarges the application range of the power supply system and saves resources.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic structural diagram of a cloud-based remote pest monitoring system according to the present invention;
fig. 2 is a schematic diagram (block diagram) of electrical connections of the cloud pest remote monitoring system according to the present invention;
fig. 3 is a block diagram illustrating steps of the intelligent remote pest monitoring method according to the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. 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.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Referring to fig. 1 and fig. 2, the remote monitoring system for pests in cloud according to the present embodiment includes: the trapper 1 is arranged at a monitoring point and is hung with insect pheromone and used for attracting surrounding insects; the camera is arranged in the trapper and used for shooting the insect images in the trapper according to a shooting instruction issued by the micro-control terminal 8, correspondingly generating real-time insect image data and sending the real-time insect image data to the micro-control terminal 8; (ii) a The micro-control terminal 8 is used for generating a shooting instruction at regular time, sending the shooting instruction to the camera, acquiring real-time insect image data, sending the real-time insect image data to the network communicator, and sending field temperature and humidity, equipment electric quantity, network intensity and terminal heartbeat data; the network communicator 7 is used for sending the acquired real-time insect image data to a cloud server, and is responsible for receiving and transmitting the data and performing data interaction with the cloud server; the cloud server is used for receiving real-time insect image data and sending the real-time insect image data to a client, upgrading and managing the micro-control terminal, converting the insect image data into insect images, identifying and counting the insect images and then sending the types and the number of the insects to the client; the client is used for receiving the real-time insect image data, converting the real-time insect image data into a real-time insect image for display, and receiving and displaying the type and the number of insects; and providing insect data display and insect early warning for a user.
In this embodiment, the client is further configured to input an image acquisition command to the cloud server; the cloud server is further used for sending an image acquisition command to the micro control terminal through the network communicator; the micro control terminal is also used for generating a shooting instruction according to the image acquisition command and sending the shooting instruction to the camera; the camera receives. In this embodiment, the camera is electrically connected to the micro control terminal, the micro control terminal and the cloud server are electrically connected to the network communicator, and the client is electrically connected to the cloud server. In the embodiment, the micro-control terminal regularly generates shooting instructions, which are generally generated once every 6, 12, 18 and 24 days and then sent to the camera, so that insect images of monitoring points are regularly acquired; the micro-control terminal generates a shooting instruction immediately after receiving the image acquisition command and sends the shooting instruction to the camera, the shooting instruction is generated at any time according to the client instruction, the two instructions are not in conflict, and the method and the device are applied to the method and the device for detecting the insect damage of the monitoring point conveniently in timing and implementation.
The remote monitoring system for pests at the cloud end provided by the invention adopts the design comprising the trapper, the camera, the network communicator, the micro-control terminal, the cloud server and the client end; trapping pests near a monitoring point, trapping the pests into the trap, shooting the pest conditions in the trap by using the camera, generating real-time pest image data, sending the real-time pest image data to the client through the network communicator and the cloud server, and displaying the real-time pest image data on the client; monitoring personnel can see the types and the number of insects in the trap by observing the real-time insect images, and further judge whether the insect pests occur, the types of the insect pests and the degree of the insect pests; monitoring personnel can observe the insect pest situation of the monitoring points without reaching the monitoring points, and can monitor the insect pest situation of a plurality of monitoring points simultaneously, thereby effectively solving the technical problems that the monitoring of insect pests does not consume manpower in time and the monitoring effect of insect pests is influenced in the prior art; and real-time worm image data are sent at regular time, so that resources are saved.
Referring to fig. 1 and 2, the embodiment further includes a temperature and humidity sensor 2, configured to sense temperature and humidity of a monitoring point, generate real-time temperature and humidity data, and send the real-time temperature and humidity data to the micro control terminal, where the micro control terminal sends the real-time temperature and humidity data to the cloud server through the network communicator; the cloud server sends real-time temperature and humidity data to the client to be displayed, and the temperature and humidity sensor is electrically connected with the micro control terminal.
The remote monitoring system for pests in the cloud end provided by the invention further comprises a temperature and humidity sensor, wherein the temperature and humidity sensor is electrically connected with the micro control terminal; and acquiring the temperature and humidity conditions of the monitoring points, and displaying the temperature and humidity conditions at the client side for the auxiliary judgment of monitoring personnel.
Referring to fig. 1 and 2, the present embodiment further includes a solar panel 3 and a lithium battery 4; the solar cell panel is electrically connected with the lithium battery, and the micro control terminal is electrically connected with the lithium battery. The system also comprises a GPS positioning receiver 9 electrically connected with the Beidou navigation satellite, wherein the GPS positioning receiver is electrically connected with the micro control terminal; the client side simultaneously displays the positions of the corresponding traps, so that monitoring personnel can conveniently and accurately position the pest sites in time.
The cloud pest remote monitoring system further comprises the solar cell panel and the energy storage battery; the solar cell panel is electrically connected with the lithium battery, and the micro control terminal is electrically connected with the lithium battery; the power supply device is used for supplying power to the electric appliances at the monitoring points, a power grid does not need to be connected, electric wires are saved, the power supply device can be used in remote areas, the application range of the power supply device is enlarged, and resources are saved.
As shown in fig. 2, the embodiment further includes a cloud storage server, and the cloud storage server is electrically connected to the cloud server; real-time worm image data and real-time humiture data that the high in the clouds server received all save in high in the clouds storage server, are convenient for look over past worm image and humiture data at any time, make the monitoring personnel need not to observe always the client.
Referring to fig. 1 and 2, the embodiment further includes a protection box 5, and the lithium battery, the temperature and humidity sensor, and the network communicator are all disposed in the protection box; and the wall of the protection box is provided with a vent hole 501. The embodiment also comprises a positioning fixing column 6; the solar cell panel, the trapper and the protection box are sequentially arranged on the positioning fixing column from top to bottom. The trap in the embodiment comprises an insect storage bottle 11 and a bait cover 12 arranged above the opening of the insect storage bottle; the bait cover is provided with a unidirectional insect inlet 121, and insect pheromone is hung above the bait cover; the camera is arranged in the insect storage bottle. The network communicator is a 4G network communicator.
In this embodiment, the cloud server is a Aliyun.
Referring to fig. 3, the present embodiment further provides an intelligent pest monitoring method, including the following steps:
using a trap arranged at a monitoring point to mount insect pheromone to directionally attract surrounding insects;
inputting an image acquisition command to a cloud server by using a client;
receiving an image acquisition command by using a cloud server and sending the image acquisition command to a network communicator;
sending an image acquisition command sent by a cloud server to the micro-control terminal by using the network communicator;
generating a shooting instruction by the micro-control terminal according to the image acquisition command sent by the network communicator or generating the shooting instruction at regular time and sending the shooting instruction to a camera;
shooting the insect images in the trapper by using the camera according to the shooting instruction, correspondingly generating real-time insect image data and sending the real-time insect image data to the micro control terminal;
acquiring real-time insect image data by using the micro-control terminal and sending the real-time insect image data to a network communicator;
sending the insect image data to a cloud server by using the network communicator;
receiving real-time insect image data by the cloud server and sending the real-time insect image data to a client, converting the insect image data into insect images, identifying and counting the insect images, and sending the types and the number of the insects to the client;
and receiving the real-time insect image data by the client, converting the real-time insect image data into a real-time insect image for display, and receiving and displaying the type and the number of the insects.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A cloud pest remote monitoring system, comprising:
the trap is arranged at a monitoring point and is used for attracting surrounding insects;
the camera is used for shooting the insect images in the trapper according to a shooting instruction issued by the micro-control terminal, correspondingly generating real-time insect image data and sending the real-time insect image data to the micro-control terminal;
the micro-control terminal is used for generating a shooting instruction at regular time, sending the shooting instruction to the camera, acquiring real-time insect image data and sending the real-time insect image data to the network communicator;
the network communicator is used for sending the collected real-time insect image data to the cloud server, and is responsible for receiving and transmitting the data and carrying out data interaction with the cloud server;
the cloud server is used for receiving the real-time insect image data, converting the real-time insect image data into insect images, identifying and counting the insect images and then sending the types and the number of the insects to the client;
and the client is used for receiving and displaying the types and the number of the insects.
2. The cloud pest remote monitoring system of claim 1, wherein the client is further configured to input an image capture command to the cloud server;
the cloud server is further used for sending an image acquisition command to the micro control terminal through the network communicator;
the micro control terminal is also used for generating a shooting instruction according to the image acquisition command and sending the shooting instruction to the camera.
3. The cloud pest remote monitoring system of claim 2, wherein the camera is electrically connected to the micro control terminal, the micro control terminal is electrically connected to the network communicator, the cloud server is electrically connected to the network communicator, and the client is electrically connected to the cloud server.
4. The cloud pest remote monitoring system of claim 3, further comprising a temperature and humidity sensor, wherein the temperature and humidity sensor is electrically connected to the micro control terminal.
5. The cloud pest remote monitoring system of claim 4, further comprising a solar panel and a lithium battery; the solar cell panel is electrically connected with the lithium battery, and the micro control terminal is electrically connected with the lithium battery.
6. The cloud pest remote monitoring system of claim 5, further comprising a cloud storage server, said cloud storage server being electrically connected to said cloud server.
7. The cloud pest remote monitoring system of claim 6, further comprising a GPS positioning receiver, wherein the GPS positioning receiver is electrically connected to the micro control terminal.
8. The cloud-based pest remote monitoring system according to claim 7, further comprising a protection box, wherein the lithium battery, the temperature and humidity sensor and the network communicator are all disposed in the protection box; and the wall of the protection box is provided with a ventilation hole.
9. The cloud pest remote monitoring system of claim 8, further comprising positioning fixation posts; the solar cell panel, the trapper and the protection box are sequentially arranged on the positioning fixing column from top to bottom.
10. An intelligent pest remote monitoring method is characterized by comprising the following steps:
attracting surrounding insects with a trap placed at a monitoring point;
generating a shooting instruction by using the micro-control terminal and sending the shooting instruction to the camera,
shooting the insect images in the trapper according to shooting instructions by using the camera, correspondingly generating real-time insect image data and sending the real-time insect image data to the micro-control terminal;
acquiring real-time insect image data by using the micro-control terminal and sending the real-time insect image data to a network communicator;
the network communicator is used for sending the insect image data to a cloud server, and is responsible for receiving and transmitting the data and carrying out data interaction with the cloud server;
receiving real-time insect image data by the cloud server, converting the real-time insect image data into insect images, identifying and counting the insect images, and sending the types and the number of the insects to the client;
and receiving and displaying the types and the number of the insects by the client.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112015117A (en) * | 2020-08-28 | 2020-12-01 | 重庆法尔物联网科技有限公司 | Intelligent cloud control insect trapping and monitoring working circuit |
| CN112931457A (en) * | 2021-01-27 | 2021-06-11 | 农芯科技（北京）有限责任公司 | Insecticidal lighting plant protection equipment |
| CN113749068A (en) * | 2021-08-13 | 2021-12-07 | 广州隆昇科技有限公司 | Red imported fire ant monitoring method and system |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102288222A (en) * | 2011-06-23 | 2011-12-21 | 华南农业大学 | Agricultural condition information real-time monitoring platform based on wireless sensor network |
| CN103719059A (en) * | 2012-10-11 | 2014-04-16 | 昆明英地尔软件技术有限公司 | Class-C front terminal of crop disease and insect pest internet of things pre-warning system |
| CN103760847A (en) * | 2013-12-31 | 2014-04-30 | 北京瀚景锦河科技有限公司 | Insect attack remote monitoring system and method |
| CN205756722U (en) * | 2016-06-28 | 2016-12-07 | 济南祥辰科技有限公司 | A kind of automatic pest forecast lamp of multifuctional solar based on Internet of Things |
| CN106332855A (en) * | 2015-07-06 | 2017-01-18 | 宁波高新区鹏博科技有限公司 | Automatic early warning system for pests and diseases |
| CN107711756A (en) * | 2017-11-03 | 2018-02-23 | 桂林电子科技大学 | Crop pests intelligence measuring and reporting system based on Internet of Things |
| CN108732175A (en) * | 2018-05-24 | 2018-11-02 | 河海大学常州校区 | Long-range insect identification based on machine vision and counting device |
| CN108812575A (en) * | 2018-05-18 | 2018-11-16 | 仲恺农业工程学院 | A kind of pest control method based on learning-oriented pest control equipment |
| CN110235873A (en) * | 2019-06-26 | 2019-09-17 | 北京农业智能装备技术研究中心 | A kind of agricultural harmful insect insect pest situation automatic monitoring forecast system |
-
2019
- 2019-11-12 CN CN201911102987.7A patent/CN110798536A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102288222A (en) * | 2011-06-23 | 2011-12-21 | 华南农业大学 | Agricultural condition information real-time monitoring platform based on wireless sensor network |
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