A supervision method and system based on photovoltaic technology

Abstract

The invention relates to a method and a system for supervision based on a photovoltaic technology. The method comprises: in a set time cycle, acquiring growth state information of crops, sending the growth state information to an information processing device corresponding to the system; determining whether the growth state information is in a preset normal growth standard range, sending the growth state information which is not in the preset normal growth standard range to a server of a prediction prevention and control center; according to preset agricultural insect information and received growth state information, determining agricultural insect type information, and making a corresponding prevention plan; preventing injurious insects on crops in time according to a prevention plan. The invention also relates to a system. The system comprises an acquisition sensor, a plurality of information processing device, and a server of a prediction prevention and control center. The method and the system can take effective measures to suppress expansion of injurious insects in time in a targeted manner, and effectively prevent crops which are not eroded by the injurious insects in a planned manner, so as to reduce damages on the crops and reduce production cost.

Description

technical field [0001] The invention belongs to the field of agricultural pests, and in particular relates to a supervision method and system based on photovoltaic technology. Background technique [0002] In the prior art, the means of collecting and processing information on diseases and insect pests and growth conditions are basically manual, which is time-consuming and labor-intensive. When pests occur, farmers cannot be notified in time, resulting in delays and mistakes in the prediction and forecasting of diseases and insect pests; Outdated, passive and inefficient means such as fax, mail and writing make the forecasting and prevention and control of diseases and insect pests seriously lagging behind; the relationship between various types of diseases and insect pests, growth status, yield, quality and pesticide application, fertilization, and cultivation of various crops The lack of systematic research, especially the lack of systematic research and the establishment ...

AI Technical Summary

Problems solved by technology

[0002] In the existing technology, the means of collecting and processing information on pests and growth status are basically manual, which is time-consuming and labor-intensive. When pests occur, farmers cannot be notified in time, resulting in lag and errors in pest prediction and forecasting; in addition, information transmission adopts radio, television, Outdated, passive, and inefficient methods such as fax, mail, and writing have caused a serious lag in the forecasting and prevention of pests and diseases; the relationship between various pests, growth status, yield, quality, and pesticide application, fertilization, and cultivation of various crops The lack of systematic research, especially the lack of systematic research and the establishment of expert databases, makes it impossible to implement real-time, moderate and long-term scientific guidance and prevention and control of various crops in the whole process of large-scale planting; In modern agricultural production, it is often necessary to collect and analyze a large amount of environmental data, such as temperature, humidity, sunshine, carbon dioxide concentration, etc.

However, due to the large area of ​​operation and the limited basic conditions of informatization, it is often difficult to obtain a large amount of data

And it is difficult to have power supply everywhere on the farmland, but it is quite common to have sunlight everywhere. Photovoltaic power generation technology can provide appropriate power supply for the collection and transmission of modern agricultural data, and it is generally not convenient to be full of data lines in the farmland.

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