Views: 0 Author: Huida Tech. Publish Time: 2023-08-24 Origin: Site
Auto-guided tractors play a great role in smart agriculture. Huida Tech is committed to the R&D and production of agricultural machinery, including the HD540pro Agricultural Drone, an agricultural spraying drone, and is also constantly exploring driverless tractors in farming. This article revolves around the composition and precautions of Autonomous Tractor:
A Self Driving Navigation Tractor usually consists of several key components that work together for autonomous operation. Here are the basic components:
The tractor is equipped with various sensors such as radar, lidar (light detection and ranging), camera and GPS (global positioning system). Used to detect and collect information about the surrounding environment. These sensors provide real-time information about the surrounding environment, including the position of the tractor, nearby obstacles and potential hazards.
The control system processes the data received from the sensors and makes decisions based on predefined algorithms to guide the movement and actions of the tractor. It determines the optimal path, speed and maneuvers the tractor should take to navigate safely and efficiently.
An actuator, such as an electric motor or a hydraulic system, is responsible for physically controlling the movement of the tractor, and is a mechanical or electrical device that converts the tractor's control signals into physical actions. Control the movement and functions of the tractor. They are responsible for steering the vehicle, adjusting the accelerator pedal, braking and other necessary actions.
Autonomous tractors often have a communication module for exchanging information with other vehicles or a centralized control center. The system enables real-time data exchange to help tractors keep track of traffic conditions or receive instructions. This enables coordination and sharing of data to optimize operations.
HMI provides the interaction function between Autonomous Tractor and human operator. It may include a touchscreen display, switches or voice commands that allow the operator to monitor the operation of the tractor, override autonomous controls if necessary, or enter specific instructions.
Complex software algorithms are responsible for processing sensor data, planning routes, and controlling the movement of the tractor. They incorporate machine learning and artificial intelligence technologies to continuously improve tractor performance and adapt to changing conditions.
The tractor relies on GPS technology to determine its current location and plan its route. The mapping system is also used to provide the tractor with detailed information about the road network, speed limits and other relevant data. Huida Tech autopilot navigation system HD408 Autopilot Navigation adopts Beidou navigation and positioning system. The Beidou navigation agricultural machinery automatic driving system usually refers to the navigation control system of the agricultural machinery automatic driving 2.0 stage. The vehicle drives strictly according to the established route to meet the operation requirements of the agricultural scene. Provide convenience for customers, reduce labor intensity, improve operation quality, and increase customer income.
According to the control method, the agricultural machinery navigation system is divided into a hydraulic control automatic assisted driving system and an electric steering wheel controlled automatic assisted driving system. Due to reasons such as high cost performance, convenient installation, and simple adaptation, electric steering wheel control automatic driving systems currently occupy a dominant position.
While the Self Driving Navigation Tractor has many advantages, some precautions should still be taken to ensure safe and smooth operation:
Daily maintenance and calibration of sensors and actuators should be carried out to ensure accurate and reliable operation of the tractor. This includes checking for any hardware failures, software updates, and addressing any mechanical issues before any potential issues become a major safety issue.
The tractor should be equipped with a manual override function so that the operator can take control in an emergency or critical situation. Robust systems should be in place to facilitate a smooth transition from voluntary to manual control. These should be easily accessible and understandable to the operator. Rigorous testing, validation and compliance with safety standards are critical to ensuring safe and reliable tractor operation.
Operators should be aware of tractor sensor limitations. Certain weather conditions such as heavy rain, fog or low light may reduce its effectiveness. Operators should be cautious in this situation and be prepared to switch to manual control if necessary. In situations where human intervention is required or unexpected obstacles are encountered, the tractor shall have an override capability to allow human control.
Comprehensive testing and certification should be carried out to ensure that autonomous tractors comply with safety regulations and standards. These tests should include scenarios involving interactions with other vehicles, pedestrians and objects to ensure that the tractor responds appropriately and safely. Complying with local laws and regulations related to self-driving and navigating tractors is critical. Manufacturers and operators should ensure compliance with all applicable codes and standards to ensure safe and legal tractor use.
It is critical for Self Driving Navigation Tractor operators to receive proper training on the capabilities, limitations, and response protocols of the autonomous system in various situations. This helps them make informed decisions when operating the tractor, ensuring safe and efficient operations. Awareness of proper procedures, troubleshooting and emergency handling contributes to safe and efficient operations.
By following these precautions, Autonomous Tractor can perform agricultural tasks efficiently and safely, increasing productivity and reducing manual labor requirements.
