Internet of Things-based forestry pest control monitoring information system and realization method

Abstract

The invention provides an Internet of Things-based forestry pest control monitoring information system and a realization method thereof. The system is characterized by comprising RFID labels, a handheld radio frequency read-write terminal, a wireless communication network, a database server and control display terminals, wherein the RFID labels are implanted onto infected woods; by utilizing the uniqueness of physical card numbers of the RFID labels, tracking, prevention and cure are carried out on each infected wood; the handheld radio frequency read-write terminal is used for registering and writing information and situations of the infected woods into the RFID labels, sending the information and situations of the infected woods to the database server through the wireless communication network; the database server is used for carrying out classified registration on the information of the infected woods, establishing infected wood documents and carrying out statistics on the documents; managers monitor the situations of the infected woods through each control display terminal and designate workers to process the infected woods; processing results are synchronously updated to the RFID labels and the database server; and the managers track the processing flows of the infected woods until the situations of the infected woods terminate. According to the system and the realization method, the prevention and cure workers are supervised and instructed to effectively process the infected woods, so that the management efficiency is improved.

Description

technical field [0001] The invention relates to an information system for forest pest monitoring and control, which belongs to the technical field of forestry pest monitoring and control, and specifically relates to a forestry pest control and monitoring information system based on the Internet of Things and an implementation method. Background technique [0002] Forest pests and diseases are one of the main disasters of forests in my country. They are known as "forest fires without smoke". With the increase of forests, the damage of diseases and insect pests, especially the damage of dangerous diseases and insect pests, is intensified. At present, the prevention and control of forest diseases and insect pests mainly adopts the method of large-scale spraying of chemical pesticides. This method leads to the enhancement of resistance of diseases and insect pests, pollutes the environment, and kills natural enemies, forming a vicious circle, especially for the poor control effec...

AI Technical Summary

Problems solved by technology

At present, the prevention and control of forest diseases and insect pests mainly adopts the method of large-scale spraying of chemical pesticides, which leads to the enhancement of resistance of diseases and insect pests, pollutes the environment, and kills natural enemies, forming a vicious circle, especially for the poor control effect on pest trees

At present, the whole process of discovery, harvesting, transportation and destruction of diseased wood is manually recorded and supervised, the progress and efficiency of diseased wood treatment are low, and it is easy to miss

Managers have unclear statistics on the types of diseased trees, types of pests, number of diseased trees, location information of diseased trees, treatment of diseased trees, etc., resulting in the leakage of some diseased trees or the reintroduction of pests and diseases into the forest, resulting in an increase in the number of diseased trees, making it difficult to effectively control

The monitoring and control of forestry diseases and insect pests is an important part of the national disaster reduction project, but there is currently a lack of effective monitoring and control methods

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