Operation equipment based on big data

Abstract

The invention discloses operation equipment based on big data. The operation equipment comprises a base body and a fence arranged at the top of the base body, wherein a stirring cavity is arranged in the base body; a through pipe is arranged in the inner top wall of the stirring cavity in a penetrating way; the bottom of the stirring cavity is provided with a lower slide cavity in a mutually communicated way; the bottom of the lower slide cavity is provided with a direction-change stirring cavity in a mutually communicated way; the bottom of the direction-change stirring cavity is provided with a seed discharging part in a mutually communicated way; the bottom of the seed discharging part is provided with a seed sowing groove penetrating through the bottom surface of the base body in a mutually communicated way; a first accommodating cavity is arranged in the base body at the right side of the direction-change stirring cavity; a stirring shaft in leftwards and rightwards prolonging arrangement is arranged in the direction-change stirring cavity; the prolonging tail end at the left side of the stirring shaft is in rotary matched connection with the inner wall of the left side of the direction-change stirring cavity; the prolonging part of the right side of the stirring shaft penetrates through the inner wall body of the base body between the direction-change stirring cavity and the first accommodating cavity and is in rotary matched connection with the inner wall of the base body. The operation equipment has the advantages that the structure is simple; the operation is convenient; the work efficiency is improved; the labor workload is reduced; the seed sowing precision is improved; the time and the labor are saved.

Description

technical field [0001] The invention relates to the field of big data operation, in particular to a big data-based operation equipment. Background technique [0002] Crops grow in the ground and change every day. However, due to technical limitations, in the past, no attention was paid to obtaining data in this area. The foundation is relatively weak. Now it is necessary to measure and understand the impact of a wide variety of data, because these data affect The quality and yield of their cultivation. These data include weather data, GPS data, soil details, seeds and crop chemicals, etc., and make full use of these data for long-term land management and short-term simulation to maximize yield and profit. Among them, the sowing operation needs to be carried out on the basis of understanding the weather, soil and other element data, and the selection of suitable weather and soil moisture should also start with sowing. Traditional planters do not have the functions based on ...

AI Technical Summary

Problems solved by technology

Traditional planters do not have the functions based on big data, and cannot accurately control the number of seeds sown each time, and the operation accuracy is low, which is not conducive to reducing production costs while increasing crop yields

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