Crop Module Moisture Tracking for Staged Drying and Handling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Baled agricultural materials, such as cotton and hay, often have varying moisture content, leading to inefficient processing and potential quality degradation due to improper staging and handling, as modules with different moisture levels are transported and processed together, resulting in over-drying or under-drying issues.
Innovation Solution
Implementing a system where module forming machines sense moisture levels and generate records that include module identifiers, locations, and characteristics, allowing for staged grouping and prioritization by moisture content, enabling more efficient transportation and processing based on these records.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If modules with different moisture levels are transported and processed together, then transportation logistics are simplified, but processing efficiency decreases and quality degradation occurs due to over-drying or under-drying
Solution Approach 1:
The patent segments modules into different groups based on their moisture content levels. Modules are classified into at least two groups: first group with modules having moisture content within a first range, and second group with modules having moisture content within a second range. This segmentation allows each group to be processed according to its specific moisture requirements, preventing over-drying or under-drying while maintaining processing efficiency.
Solution Approach 2:
The patent implements preliminary action by determining and recording the moisture content of each module at the time of baling, before transportation and processing. The module forming machine measures moisture content and stores this information in association with each module's identification data. This preliminary measurement enables downstream facilities to plan processing operations in advance, optimizing resource allocation and avoiding quality degradation.
2Loss of energy
If all modules are processed uniformly without moisture-based differentiation, then processing operations are simplified, but energy is wasted through unnecessary drying of already dry modules
Solution Approach 1:
The patent applies local quality by treating modules differently based on their specific moisture content characteristics. Instead of uniform processing, each module group receives processing appropriate to its moisture level. Modules in the first group (with moisture in the first range) are processed differently from modules in the second group (with moisture in the second range), ensuring that energy is not wasted on over-drying already dry modules while adequately drying moist modules.
Solution Approach 2:
The patent utilizes parameter changes by using moisture content as the key differentiation parameter for processing decisions. The module forming machine measures the moisture content parameter and uses this information to classify modules into different groups. Downstream processing facilities adjust their operations based on these moisture-based classifications, optimizing energy consumption by applying drying treatments only where necessary.
3Manufacturing precision
If moisture content is measured and recorded for each module, then processing precision is improved, but the complexity of the module forming machine increases
Solution Approach 1:
The patent implements self-service by enabling the module forming machine to autonomously measure its own bale moisture content and automatically record this information in association with each module's identification data. The moisture measurement system is integrated into the module forming machine, allowing it to self-diagnose and self-document moisture levels without requiring separate external measurement equipment or manual intervention, thereby maintaining processing precision while minimizing added complexity.
Data Source
AI summary
As a module is formed, characteristics of the module are sensed by the module forming machine. A module record is generated that includes a module identifier, a module location, and one or more sensed characteristics. The module record is output for use by other machines or systems.