Dairy Feed Storage Containers with Integrated Scales and Conveyors
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing automated dairy feeding systems lack precision in predicting feed depletion and efficient dispensing, leading to potential feed spoilage and operational bottlenecks, as they rely on manual monitoring and centralized loading devices.
Innovation Solution
The implementation of storage containers with controllable conveyors and electronic scales that communicate with autonomous feed delivery robots, allowing for precise monitoring of feed reserves and simultaneous loading of multiple robots, eliminating the need for central loading devices and enhancing feed distribution efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual monitoring and centralized loading devices are used, then device complexity is reduced, but feed management precision and operational efficiency deteriorate
Solution Approach 1:
The system divides the centralized loading function into multiple independent storage containers, each with its own conveyor and scale. This segmentation allows parallel operation of multiple robots while maintaining individual monitoring precision for each container, resolving the contradiction between measurement precision and device complexity.
Solution Approach 2:
Each storage container is equipped with its own conveyor system and electronic scale, enabling autonomous monitoring and dispensing without requiring centralized control. This self-service approach maintains high measurement precision while reducing overall system complexity through distributed independence.
2Productivity
If a single centralized loading device is used, then device complexity is reduced, but productivity and loading speed deteriorate due to operational bottlenecks
Solution Approach 1:
The system segments the loading function across multiple storage containers with independent conveyors, allowing multiple robots to load simultaneously from different containers. This eliminates the bottleneck of centralized loading and increases overall productivity while distributing system complexity across independent units.
Solution Approach 2:
Multiple storage containers operating in parallel enable continuous loading of multiple robots without idle waiting time. The independent conveyors ensure that each robot can be loaded continuously, maintaining high productivity while the modular structure manages complexity through repetition of standardized units.
3Quantity of substance
If feed is stored in large centralized volumes, then storage efficiency is improved, but feed spoilage and loss increase due to extended exposure time
Solution Approach 1:
Feed storage is divided into multiple separate containers rather than one large centralized storage. This segmentation reduces the amount of feed exposed in each container, minimizing spoilage and loss while maintaining total storage capacity through the combined volume of multiple containers.
Solution Approach 2:
The system monitors feed levels in each storage container continuously using electronic scales and predicts depletion before it occurs. This preliminary action allows timely replenishment of individual containers, preventing feed spoilage and loss by ensuring feed is replaced before quality deteriorates, while maintaining adequate total storage capacity.
4Reliability
If autonomous robots operate without real-time feed availability information, then system complexity is reduced, but reliability and continuous operation capability deteriorate
Solution Approach 1:
Electronic scales in each storage container provide real-time weight signals about feed availability to the central controller and autonomous robots. This feedback mechanism ensures robots have accurate information for continuous operation while the standardized communication protocol manages system complexity efficiently.
Solution Approach 2:
The central controller serves multiple functions: coordinating robots, receiving weight signals from all storage containers, predicting feed depletion, and managing replenishment schedules. This multi-functionality improves reliability through centralized intelligence while avoiding the complexity of distributed decision-making systems.
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
This solution provides improved feed management by predicting depletion, reducing spoilage, and enabling continuous operation by informing robots of available feed, ensuring timely replenishment and maintaining consistent delivery speeds, thus optimizing feed distribution and storage.
Implementation Method 1
a conveyor system driven by a motor to move feed material from the storage container volume to an exit channel
Implementation Method 2
an electronic scale providing an electronic weight signal indicating a weight of feed material in the storage container
Data Source
AI summary
A feed dispenser for automated dairy feed delivery provides feed material ingredients to autonomous robots which mix and deliver the ingredients to dairy cattle. The containers have a live floor and scale and communicate with the autonomous robots to deliver the material and to schedule and monitor that delivery.