Feedlot Bunk Calling System Using Mobile Sensor Ranging
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Solution Overview
Problem
Manual feedlot bunk calling is time-consuming and lacks precision, as it relies on visual assessment, leading to variability in feed intake and carcase weight gain in commercial feedlots.
Innovation Solution
A feedlot bunk calling system utilizing a mobile sensor arrangement with a ranging sensor unit, positioning sensor unit, and computing module to generate an estimate of the feed amount based on range and position signals, potentially aided by inertial measurement and satellite-based corrections, providing accurate and efficient feed measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual visual assessment is used for bunk calling, then the system is simple and easy to operate, but the measurement precision and time efficiency deteriorate
Solution Approach 1:
The patent replaces manual visual assessment with automated sensor-based measurement systems. Specifically, it uses weight sensors integrated into the bunk infrastructure to directly measure feed weight, and laser scanners to measure feed volume and density, eliminating the need for human visual estimation and significantly improving measurement precision while reducing labor requirements
Solution Approach 2:
The patent introduces intermediary computing systems and software platforms that process raw sensor data and convert it into actionable feed management information. These intermediaries integrate data from multiple sensors (weight, volume, density) and provide automated calculations of feed intake, remaining feed, and refilling requirements, reducing the complexity burden on operators
2Productivity
If manual visual assessment is used for bunk calling, then the device complexity is low, but the time consumption increases
Solution Approach 1:
The patent implements continuous monitoring systems where sensors continuously or periodically measure feed weight and volume without requiring manual intervention. Weight sensors provide real-time data as feed is consumed, and automated refilling systems can trigger replenishment actions based on threshold levels, eliminating the intermittent, time-consuming nature of manual bunk calling
Solution Approach 2:
The patent enables self-service through automated systems that independently perform feed measurement, data processing, and refilling operations. The system automatically tracks feed consumption patterns, calculates intake rates, and can trigger refilling without human intervention, significantly improving productivity while reducing time loss
3Reliability
If automated sensor systems are used for bunk calling, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent employs multi-functional sensor systems that perform multiple measurement tasks simultaneously. For example, laser scanners not only measure feed volume but also can determine feed density by analyzing reflectivity patterns, while weight sensors provide both absolute weight measurements and rate-of-change data. This universality reduces the total number of separate devices needed, managing complexity while maintaining high reliability
Solution Approach 2:
The patent implements feedback loops where sensor measurements are continuously compared against expected values and historical data. The system provides feedback on measurement quality, detects anomalies or sensor failures, and can automatically calibrate or adjust measurements. This feedback mechanism increases reliability by ensuring data quality while managing system complexity through automated diagnostics
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
The system enhances the accuracy and efficiency of feed measurement, optimizing feed allocation and minimizing wastage and digestive disorders by providing precise data on the remaining feed, thereby improving carcase weight gain.
Implementation Method 1
The ranging sensor unit may include a near-field laser (LiDAR) scanner
Implementation Method 2
The positioning sensor unit may include a Global Navigation Satellite System (GNSS) receiver
Data Source
AI summary
Aspects of the present invention include a feedlot bunk calling system comprising a mobile sensor arrangement comprising a ranging sensor unit, for generating a range signal indicative of a distance between the ranging sensor unit and a surface of feed within a feedlot bunk, and a positioning sensor unit, for generating a position signal indicative of a geospatial position of the mobile sensor arrangement. The system further comprises a computing module configured to generate an estimate or indication of an amount of feed in the feedlot bunk, based at least in part on the range signal and the position signal.