CN202406870U - Intelligent online measuring and reporting system for forest insect attack - Google Patents

Abstract

The utility model discloses an intelligent online monitoring and reporting system for forestry insect pests, which includes a remote monitoring and reporting site system, which communicates with a monitoring and early warning center system through a communication network, and the monitoring and early warning center system is connected with a user terminal; An insect infestation detection device, the intelligent insect infestation detection device includes an insect infestation sampler, and the insect infestation sampler cooperates with a visual sensor and a sound wave sensor, and both the visual sensor and the acoustic wave sensor are connected to an intelligent measurement and control terminal, and the intelligent measurement and control terminal is connected to the terminal through a communication module. into the communication network; the insect sampler, visual sensor, sound wave sensor, intelligent measurement and control terminal and communication module are all powered by a power module. The utility model can automatically trap various pests and has the function of killing insects. Compared with the traditional forestry video surveillance system, the system does not require staff to frequently watch the live video of each site, and the identification of pests is automatic and intelligent.

Description

Forestry pest intelligent online forecasting system

technical field

The utility model relates to the technical field of forestry pest forecasting and prevention, in particular to an intelligent online forecasting system for forestry pests.

Background technique

There are many types of forestry pests, how to realize the automatic collection of pest data is an unsolved worldwide problem. Existing pest forecasting tools at home and abroad usually only realize the automatic trapping and collection of some pests, and still require the forecasting personnel to conduct on-site inspections every day or in a short period of time. It is difficult to improve, and it needs to invest a lot of manpower and material resources. If the forest area is relatively remote, the work of pest situation forecasting is even more difficult.

The Chinese patent "Intelligent Insect Infestation Monitoring and Reporting Lamp" with the publication number CN201595103U adopts light, electricity, and numerical control technology, and uses PLC controllers to form an automatic intelligent control system; the Chinese patent "Automatic Insect Infestation Monitoring and Prevention System" with the publication number CN201595102U The conversion can be self-adjusted to realize the monitoring and prevention of insect infestation; the Chinese patent "Automatic monitoring and prevention system for agricultural and forestry insect infestation based on PLC technology" with the publication number CN201622464U adopts PLC programmable technology to realize the management and control of insect infestation monitoring and prevention; However, they have a low degree of intelligence and cannot automatically identify various pests, nor do they support remote data transmission and online monitoring of pests. Therefore, it has become an important development trend of forestry pest monitoring and control to develop an intelligent forestry pest online monitoring and reporting system, which can automatically trap and identify various pests, realize automatic collection of pest data, and timely transmit them to the monitoring and early warning center through the communication network. . The forestry pest monitoring and early warning center can carry out remote diagnosis of pests or comprehensive analysis of insects in large-scale and large-scale forest areas according to the data transmitted by various remote online monitoring and reporting stations, thereby greatly reducing the work intensity of forecasting personnel and saving a lot of manpower and material resources. Improve the effect and efficiency of pest forecasting and forecasting.

Utility model content

The purpose of this utility model is to provide an intelligent online monitoring and reporting system for forestry pests in order to solve the above problems.

In order to achieve the above object, the utility model adopts the following technical solutions:

An intelligent online monitoring and reporting system for forestry pests, which includes a remote monitoring and reporting site system, the remote monitoring and reporting site system communicates with the monitoring and early warning center system through a communication network, and the user terminal is connected to the monitoring and early warning center system for access;

Wherein: the remote monitoring and reporting site system includes an intelligent insect detection device, and the intelligent insect detection device includes an insect sampler. The terminal is connected, and the intelligent measurement and control terminal is connected to the communication network through the communication module; the insect sampler, the visual sensor, the acoustic wave sensor, the intelligent measurement and control terminal and the communication module are all powered by a power module; Automatically acquire the image or sound information of pests, and intelligently distinguish the types and quantities of pests through image recognition or sound recognition, and realize the automatic collection function of pest data.

The remote measurement and reporting station system also supports the Global Positioning System (GPS) to identify the location of the station in the geographic information system (GIS).

The remote measurement and reporting site system also includes a microclimate monitoring sensor, and the output end of the microclimate monitoring sensor is connected to the input end of the intelligent measurement and control terminal.

The power supply module supports 220V AC power supply, and it supports solar self-power supply or wind energy self-power supply.

The communication module supports GPRS, CDMA1x or 3G access mode, and is responsible for connecting the entire insect detection device to the communication network.

The communication network is a mobile communication network, the Internet or a dedicated network.

The microclimate monitoring sensors include air temperature and humidity sensors, soil temperature and humidity sensors, solar radiation sensors, wind speed sensors, wind direction sensors and air pressure sensors.

The monitoring and early warning center system includes an information receiving module and an intelligent insect detection device remote control module, and the data information of the information receiving module and the intelligent insect detection device remote control module is stored in a database. Pest diagnosis expert system, comprehensive statistical analysis of insect situation and various business subsystems provide data support.

The information receiving module includes an insect situation information receiving module, an image, video and sound receiving module and a microclimate information receiving module.

The monitoring and early warning center system also includes a data sharing interface to facilitate seamless integration with the e-government system.

The beneficial effects of the utility model:

(1) Intelligently identify all kinds of pests on site through machine vision and hearing methods, and realize automatic collection of pest data without manual intervention.

(2) Real-time transmission of pest data through mobile communication networks (GPRS, CDMA1x, 3G, etc.) for remote diagnosis of pests or comprehensive analysis of pests.

(3) It has the function of prompting and early warning of pests, and provides pictures and sounds of pests to assist experts in remote diagnosis of pests and final confirmation of pests.

(4) Support the integration of geographic information system GIS, the monitoring interface is intuitive, and it can provide geographic information support for comprehensive analysis of pest situation.

(5) Support solar and wind energy self-supply, not limited by power supply conditions.

(6) It can automatically trap a variety of pests and has the function of killing insects.

(7) Long-term continuous real-time monitoring of forestry pests can be realized, and first-hand data can be provided for scientific research on forestry pests.

(8) Compared with the traditional forestry video surveillance system, the system does not require staff to frequently watch the live video of each site, and the identification of pests is automatic and intelligent.

Description of drawings

Fig. 1 is the structural representation of the utility model;

Fig. 2 is a composition block diagram of the remote measurement and reporting site system;

Figure 3 is a block diagram of the monitoring and early warning center system. the

Detailed ways

Below in conjunction with accompanying drawing and embodiment the utility model is further described.

As shown in Figure 1, it is a structural representation of the utility model. Remote monitoring and reporting stations automatically collect insect data, and transmit them to the monitoring and early warning center through mobile communication networks, the Internet or the dedicated network of the forestry department. information, and implement remote diagnosis of pests or comprehensive analysis of pests. The system can also be combined with global positioning system GPS, geographic information system GIS and other systems, and seamlessly integrated with e-government system, providing strong technical support for comprehensive analysis of forestry pests, government decision-making and scientific research.

Figure 2 is a block diagram of the remote measurement and reporting site system. The insect sampler is usually a light trapping device. The light source of the insect trap can be black light, incandescent lamp, etc., which can be automatically turned on or off through light control, and can automatically process the captured pests under the control of the intelligent measurement and control terminal. The intelligent measurement and control terminal is implemented by an embedded system, which automatically obtains information such as images or sounds of pests through visual sensors or acoustic sensors, and intelligently distinguishes the types and quantities of pests through image recognition, sound recognition, etc., and realizes automatic collection of pest data. The communication module supports access methods such as GPRS, CDMA1x and 3G, and is responsible for connecting the entire intelligent insect detection device to the mobile communication network. The power supply of the device can be 220V AC. In places where power supply conditions are not available, solar energy or wind energy self-power supply can be used. According to the needs of users, the sensing device can also measure microclimate environmental data such as air temperature and humidity, soil temperature and humidity, solar radiation, wind speed, wind direction, air pressure, etc., and transmit them to the monitoring and early warning center together with the insect data to assist experts in remote diagnosis of insect pests Or comprehensive analysis of pest situation. In order to facilitate the remote diagnosis of pests by experts, the sensing device not only transmits intelligently identified pest information, but also transmits some typical pictures, videos or sounds to the monitoring and early warning center.

Figure 3 is a block diagram of the monitoring and early warning center system. The monitoring and early warning center system receives intelligently identified insect information, image, video and audio data, and microclimate information, and remotely controls the insect detection device. The system's business subsystems include real-time release of pest information, pest warning and early warning, pest diagnosis expert system, comprehensive statistical analysis of pests, government decision-making support, system management, etc., adopting a modular design, which can be flexibly expanded at will. The system provides a data sharing interface, which can be easily seamlessly integrated with the e-government system. When pests are detected, the system will promptly remind and highlight them on the electronic map.

The intelligent online monitoring and reporting system of forestry pests can be used not only for the comprehensive control of forestry pests, but also for the scientific research of forestry pests. In addition, the system can also be widely used as an ecological monitoring system for ecological monitoring of forests, grasslands, deserts, farmlands, wetlands, etc., providing precious basic data for ecological science research and ecological environment protection.

Although the specific implementation of the utility model has been described above in conjunction with the accompanying drawings, it does not limit the protection scope of the utility model. Those skilled in the art should understand that on the basis of the technical solution of the utility model, those skilled in the art do not need to Various modifications or deformations that can be made with creative efforts are still within the protection scope of the present utility model.

Claims (10)

1. A forestry insect pest intelligent online forecasting system is characterized in that it comprises a remote forecasting site system, and the remote surveying site system communicates with the monitoring and early warning center system through a communication network, and the user terminal is connected to the monitoring and early warning center system to access; Wherein: the remote monitoring and reporting site system includes an intelligent insect detection device, and the intelligent insect detection device includes an insect sampler. The terminal is connected, and the intelligent measurement and control terminal is connected to the communication network through the communication module; the insect sampler, the visual sensor, the acoustic wave sensor, the intelligent measurement and control terminal and the communication module are all powered by a power module; The intelligent measurement and control terminal automatically acquires the image or sound information of pests through visual sensors or sound wave sensors, and intelligently distinguishes the types and quantities of pests through image recognition or sound recognition, so as to realize the automatic collection function of pest data. 2. The forestry insect pest intelligent online forecasting system according to claim 1, wherein the remote surveying and forecasting site system also supports the Global Positioning System (GPS) to identify the position of the site in the geographic information system (GIS). 3. The intelligent online monitoring and reporting system for forestry insect pests as claimed in claim 1, wherein the remote monitoring and reporting station system also includes a microclimate monitoring sensor, and the output end of the microclimate monitoring sensor is connected to the input end of the intelligent measurement and control terminal. 4. The intelligent online monitoring and reporting system for forestry insect pests as claimed in claim 1, wherein the power supply module supports 220V AC power supply, and it supports solar self-power supply or wind energy self-power supply. 5. The intelligent online monitoring and reporting system of forestry insect pests as claimed in claim 1, wherein the communication module supports GPRS, CDMA1x or 3G access mode, and is responsible for connecting the entire intelligent insect detection device to the communication network. 6. The intelligent online monitoring and reporting system of forestry insect pests as claimed in claim 1, wherein the communication network is a mobile communication network, the Internet or a dedicated network. 7. The forestry pest intelligent online forecasting system according to claim 3, wherein said microclimate monitoring sensors include air temperature and humidity sensors, soil temperature and humidity sensors, solar radiation sensors, wind speed sensors, wind direction sensors and air pressure sensors. 8. The forestry insect pest intelligent online monitoring and reporting system as claimed in claim 1, wherein the monitoring and early warning center system includes an information receiving module and a remote control module of an intelligent insect emotion detection device, and the information receiving module and an intelligent insect emotion detection device are remotely controlled. The data information of the control module is stored in the database. 9. The forestry insect pest intelligent online forecasting system according to claim 8, wherein the information receiving module includes an insect situation information receiving module, an image, video and sound receiving module and a microclimate information receiving module. 10. The intelligent online monitoring and reporting system for forestry pests according to claim 1, wherein the monitoring and early warning center system also includes a data sharing interface to facilitate integration with the e-government system.

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