Harvester Speed Control Using Stem Thickness to Prevent Blockage
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Solution Overview
Problem
Existing harvesting machines face blockages in internal working components due to sudden increases in crop flow, which are not effectively managed by current sensing methods, leading to inefficiencies and operational challenges, especially with wider headers.
Innovation Solution
A drive controller using stem thickness sensors to estimate expected crop throughput by measuring the thickness of individual stems, providing accurate and cost-effective control of harvesting machine speed to prevent overload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If non-contact sensing (camera, radar, laser sensor) is used to estimate expected crop throughput, then the harvesting machine can adjust speed proactively, but the system becomes expensive or sensitive to environmental obstructions
Solution Approach 1:
The patent uses simple, inexpensive mechanical sensors (contact-based rollers, levers, or optical sensors with basic photodetectors) instead of expensive radar or laser sensors. These simple sensors are sufficient for the task and can be easily replaced if needed, resolving the contradiction between reliability and device complexity.
Solution Approach 2:
The patent replaces complex electronic sensing systems (radar, laser) with simpler mechanical or basic optical sensing mechanisms. The contact-based rollers and levers provide reliable crop flow detection without the complexity and cost of advanced electronic sensors, while still enabling proactive speed adjustment.
2Reliability
If internal mass flow measurement (deflecting roller, pre-compression rollers) is used to detect crop flow, then the system can adjust speed, but only slow changes in mass flow can be detected, causing blockages during sudden density increases
Solution Approach 1:
The patent positions sensors at the header or intake chute to detect crop flow characteristics before the material reaches the internal working components. This early detection allows the control system to adjust speed proactively before blockages occur, resolving the contradiction between reliability and response speed.
Solution Approach 2:
The patent introduces intermediate sensing points (at the header or intake chute) that act as mediators between the crop flow and the control system. These sensors detect crop characteristics earlier in the flow path, providing advance warning of potential blockages and enabling faster response compared to internal measurement points.
3Productivity
If header width is increased to improve harvesting capacity, then more crop is processed, but the amount of crop in the header increases, making blockages more likely and harder to prevent
Solution Approach 1:
The patent divides the wide header into multiple zones with distributed sensors along its length. Each sensor monitors local crop flow conditions, allowing the system to identify and respond to potential blockage risks in specific sections. This segmentation enables better control of crop flow through a wide header, maintaining both high productivity and blockage resistance.
Solution Approach 2:
The patent implements a feedback control system where sensors continuously monitor crop flow characteristics and provide real-time information to the speed controller. The controller adjusts harvesting speed based on this feedback to maintain optimal crop flow rates, preventing blockages even in wide headers with high productivity requirements.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Effectively reduces the probability of crop flow overload by adjusting speed based on real-time stem thickness measurements, ensuring consistent crop processing and preventing blockages.
Implementation Method 1
The measurement can be performed haptically, thus cost-effectively and with low susceptibility to interference and measurement errors
Data Source
Figure 1
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AI summary
A speed controller for a self-propelled harvesting machine (2) for processing crops picked up from a field to be harvested comprises a stem thickness sensor (17a) and a computing unit (16) which is configured to specify a target value for the driving speed (v) of the harvesting machine (2) based on an expected throughput (q) of crops, which the computing unit (16) estimates based on a measured stem thickness of the crops.