A Tea Ridge Depth Detection Device Based on Infrared Ranging

Abstract

A tea ridge depth detecting device based on infrared range finding is formed by a microprocessor module, a range finding module, a transmission module and a shell module. The microprocessor module isformed by a stm32f103c8 microprocessor and a peripheral circuit. The range finding module selects an infrared range finding sensor GP2Y0A21. The transmission module is formed by a driving bevel gear,a 1# driven bevel gear, a 2# driven bevel gear, a 1# belt transmission device, a 2# belt transmission device, an LX371WG motor and a carrying frame. The shell module is formed by a steel top cover, anouter cylinder made of a polypropylene material, an inner cylinder, and a contact piece. Left and right sides of an inner wall of a cylinder, which are close to a top end, are symmetrically and fixedly connected to a steel 1# lifting rod and a 2# lifting rod through a screw thread. The microprocessor module is fixed on an inner surface of the top cover in the shell module and is used for drivingthe LX371WG motor in the transmission module. The range finding module is placed directly under the microprocessor module and is directly connected to the microprocessor module. The device has characteristics of accurate and rapid range finding, and high stability.

Description

technical field [0001] The invention relates to a tea ridge depth detection device based on infrared distance measurement, mainly relates to a device that can accurately and high-speed measure the picking depth of tea leaves, and adjust the tea picking machine in real time according to the obtained tea ridge depth so as to adjust the tea leaves on the surface of the tea ridge. The buds are picked. Background technique [0002] The tea bud picking machine is a crop harvesting machine for harvesting new and tender tea leaves from the tops of tea trees. However, most of the picking equipment on the market needs to be hand-held and labor-intensive to use. One of the main reasons that hinder the mechanical picking of tea buds on the surface of tea ridges is that the depth of tea ridges cannot be accurately obtained, and a one-size-fits-all method is often adopted, which not only causes great damage to tea trees. , the picked old tea leaves, young buds and tea stems are mixed tog...

AI Technical Summary

Problems solved by technology

However, most of the picking equipment on the market needs to be hand-held and labor-intensive to use. One of the main reasons hindering mechanical picking of tea buds on the surface of tea ridges is that the depth of tea ridges cannot be accurately obtained, and a one-size-fits-all approach is often adopted, which not only causes great damage to tea trees , the picked old tea leaves, young buds and tea stems are mixed together and incomplete, which greatly reduces the quality of the picked tea leaves

[0003] At present, the depth of tea picking by machines is mostly determined by physical touch. In view of the influence of the weather and the complexity of the algorithm, image processing is rarely used. The former uses the motor to drive the touch surface to press the tea ridge, and feedback the pressing force through the pressure sensor. When the pressure reaches a certain threshold, it is determined to be the contact plane of the tea ridge, but if the pressure is not properly controlled, a large number of tea buds will be crushed and the measurement will be inaccurate. The latter requires a large storage capacity, and the algorithm is difficult to make the processing time slow, which cannot meet the actual needs. , so it is particularly important to propose a device that can accurately measure the depth of tea longs in real time

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