Novel remote real-time intelligent monitoring system for injurious insects and monitoring method implemented by system

Abstract

The invention discloses a novel remote real-time intelligent monitoring system for injurious insects and a monitoring method implemented by the system. The novel remote real-time intelligent monitoring system and the monitoring method are mainly used in the field of monitoring for injurious insects. The monitoring system mainly comprises modules such as power equipment, a trap, a counting system, an environmental information collecting system, a central control system and a safety detection system, and is characterized in that statistics of the quantity of trapped injurious insects is relevant to change of current in the trap, and insect condition monitoring information can be directly acquired after relevant instructions are transmitted. The novel remote real-time intelligent monitoring system and the monitoring method have the advantages that functions of trapping the injurious inspect, counting the injurious insects by the aid of a power grid, transmitting data, receiving the information and the like are implemented by the different modules of the system, so that effects of efficiently killing the trapped injurious insects, accurately counting the injurious insects and timely reporting the insect condition information are realized, a series phenomena such as mistaken reporting, missed reporting and information transmission lag are prevented, and the requirement on large-scale and systematic forecasting for various injurious insects during agricultural production is met.

Description

Technical field [0001] The present invention is the field of pest monitoring, which involves a new type of pest remote real -time intelligent monitoring system and its system monitoring method. Background technique [0002] At present, there are two outstanding problems in the field of farming (forest) industry (forest) industry and insect pests: first, the reporting methods are backward, and the statistics of manual counting and manual statistics often lead to lagging information and summary errors; the second is that the coverage area is insufficientThere are more than 50,000 plant protection personnel in more than 2,600 counties (urban areas) across the country, with an average of 3 points per person, and the number of working groups with such a huge amount of monitoring coverage is only 34%of the national arable land area.These two issues restrict the implementation of my country's "green plant protection and public plant protection" general requirements. [0003] For China's...

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Problems solved by technology

[0002] At present, there are two prominent problems in the field of forecasting and reporting of agricultural (forestry) pests and diseases in my country: one is that the means of forecasting and forecasting are backward, and statistics and reporting work based on manual counting and manual statistics often lead to information lag and summary errors; second, the coverage area is insufficient , there are more than 50,000 plant protection personnel in more than 2,600 counties (urban areas) across the country, and each person monitors 3 points on average. However, with such a large number of working groups, the monitoring coverage area is only 34% of the country's cultivated land area

[0003] In view of the characteristics of wide distribution of monitoring sites, large number of monitoring sites, many types of pest monitoring, and obvious environmental differences in the pest monitoring process in my country, although the existing pest monitoring technology can partially realize the intelligent monitoring and remote monitoring of agricultural pests, but in pest data statistics, There are a series of problems in the convenience of information reporting and field applicability: for example, the patent No. 200710107214.9 only has a data collection module, and does not disclose how to collect the number of pests. Due to the differences in different monitoring methods, the accuracy of pest monitoring is directly affected. Therefore its monitoring accuracy can not be guaranteed; And patent number CN200920190971.1 adopts infrared detector to carry out pest counting, because insect has the behavioral characteristic of crawling back and forth, can cause the repeated counting of infrared detection, the statistical precision of data is low; And patent number CN200920176146 .6 It is necessary to manually collect and utilize information through the data port, the automation of information reporting is low, and the field applicability is poor

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