Green belt spraying device based on big data

Abstract

The invention discloses a green belt spraying device based on big data. The advantage is that an acquisition module acquires analog signals of city location and green belt plant diseases, a microprocessor sends the analog signals to a big data analysis and calculation module for analysis and calculation, and an analysis server obtains information on the Internet, analyzes and calculates the types,ratio and concentration of pesticides to be used, and sends the information to the microprocessor. The microprocessor makes an electric valve and a water inlet valve prepare liquid pesticide in accordance with the types, ratio and concentration of pesticides to be used. A rotating motor drives a spraying rod to rotate and adjusts the spraying direction. The microprocessor controls the power of aspraying pump, and controls the liquid pesticide spraying distance. A cart includes a gyroscope which senses an angle signal and sends the angle signal to the microprocessor. The microprocessor makesa driving motor to drive the cart to move at uniform speed.

Description

technical field [0001] The present invention relates to a field of big data, and more specifically relates to a green belt spraying device based on big data. Background technique [0002] Big data refers to a collection of data that cannot be captured, managed, and processed by conventional software tools within a certain period of time. It requires a new processing model in order to have stronger decision-making power, insight and discovery, and process optimization capabilities to adapt to massive and high growth. efficiency and diversification of information assets. [0003] The problem of pests and diseases of plants in urban green belts is serious. Due to environmental restrictions, it is difficult to use biological control methods. The commonly used method is chemical control methods, which control pests and diseases by spraying pesticides. However, the existing pesticide spraying is done manually based on experience. For the selection of the ratio, personal experienc...

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Problems solved by technology

[0003] The problem of plant diseases and insect pests in urban green belts is serious. Due to environmental restrictions, it is difficult to use biological control methods. The commonly used method is chemical control methods, which control plant diseases and insect pests by spraying pesticides. However, the existing pesticide spraying is done manually based on experience. Selecting the ratio, personal experience has limitations, it is difficult to make a suitable configuration for the selection and ratio of pesticide types according to different situations

[0004] Big data is widely used, and the proportion of pesticides selected based on manual experience has limitations, and the control effect on diseases and insect pests is not ideal, resulting in the death of some plants in the green belt. Therefore, a method that can reasonably configure the types, proportions and concentrations of pesticides used device to improve the effect of pest control

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