Peanut harvester working condition detection and control system

Abstract

The invention discloses a working condition detection and control system applied to a peanut harvester. The working condition detection and control system is used for monitoring the working state of all working components of the peanut harvester in real time. According to the peanut harvester working condition detection and control system, a vehicle-mounted special controller is adopted to server as a control core, the operating speeds of all hydraulic motors are collected through a CAN bus, in match with detection sensors on different stations, the current working condition information is obtained, and the rotating speeds of the hydraulic motors are adjusted so as to achieve intelligent control over the peanut harvester. The sensors further comprise angle sensors for obtaining the excavation depth, position sensors for obtaining the peanut seedling clamping amount, air pressure sensors for obtaining the seedling outlet wind power changes, acceleration sensors for obtaining vibration screen vibration intensity, cameras for checking the seedling blocking condition and the like. The working condition detection and control system is reasonable in design scheme, stable in system and capable of meeting the peanut harvesting environment requirements and improving the working efficiency of the peanut harvester.

Description

technical field [0001] The invention relates to the field of agricultural machinery, in particular to a working condition detection and control system for a peanut harvester. Background technique [0002] At present, the application penetration rate of peanut harvesters is low, mainly due to the low harvest rate, high breakage rate, high traction power requirements, and inability to adapt to small plot operations. The existing peanut harvester has a low degree of intelligence and mainly relies on manual operation of the mechanical device to complete the harvesting task. Excessive amount of seedlings and vines will cause the outlet to be blocked. The current method is that it cannot work normally through experience or at the maximum power output of the drive motor. In some cases, the machine will be shut down for cleaning, and the harvesting efficiency will be low. [0003] Therefore, improving the intelligence level of the peanut harvester is the key to solving these proble...

AI Technical Summary

Problems solved by technology

[0002] At present, the application penetration rate of peanut harvesters is low, mainly due to the low harvest rate of harvesters, high damage rate, high traction power requirements, and inability to adapt to small plot operations, etc.

The existing peanut harvester has a low degree of intelligence and mainly relies on manual operation of the mechanical device to complete the harvesting task. Excessive amount of seedlings and vines will cause the outlet to be blocked. The current method is that it cannot work normally through experience or at the maximum power output of the drive motor. If the machine is shut down for cleaning, the harvesting efficiency is low

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