Modular system for food assembly
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Solution Overview
Problem
Current food production systems face inefficiencies in manual and autonomous food assembly, particularly in managing ingredient levels, detecting operational issues, and optimizing production workflows, leading to downtime and resource misallocation.
Innovation Solution
A modular food production station integrating manual and autonomous assembly zones with a controller and sensor system, along with a makeline interface, to monitor ingredient levels, detect operational issues, and alert operators in real-time, enabling efficient ingredient management and workflow optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual food assembly is used, then flexibility in food preparation is maintained, but productivity and consistency are reduced
Solution Approach 1:
The system divides food assembly into discrete modular components: individual food containers move through segmented stations where specific ingredients are added at designated locations. This segmentation enables automated high-speed assembly while maintaining the flexibility to configure different ingredient sequences for various menu items.
Solution Approach 2:
The automated assembly system is designed with universal functionality to handle multiple food product types through reconfigurable ingredient dispensing stations. The same conveyor and assembly framework can accommodate different menu items by changing the ingredient sequences and dispensing parameters, eliminating the need for separate manual assembly lines for each product type.
2Manufacturing precision
If automated ingredient dispensing is implemented, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
Weight sensors are integrated at each ingredient dispensing station to provide real-time feedback on the amount of ingredient added to each food container. The controller receives this feedback and automatically adjusts subsequent dispensing actions to achieve precise target portions, ensuring consistent ingredient quantities without requiring complex mechanical dosing mechanisms.
Solution Approach 2:
The system replaces complex mechanical portion control mechanisms with electronic sensing and control. Instead of using precision mechanical dispensers that require complex calibration and maintenance, the invention uses weight-based electronic feedback to control ingredient addition, simplifying the mechanical system while improving precision.
3Reliability
If real-time monitoring systems are added, then reliability of food production is improved, but loss of time in data processing increases
Solution Approach 1:
The controller continuously monitors weight data and other sensor inputs in real-time during the food assembly process, rather than processing data after assembly is complete. This preliminary monitoring enables immediate detection of operational issues such as ingredient depletion or equipment malfunctions, allowing for instant corrective action without interrupting the production flow.
Solution Approach 2:
The system is designed to automatically detect and respond to operational issues without requiring manual intervention or complex data analysis. Weight sensors automatically trigger alerts when ingredient levels are low, and the controller autonomously adjusts dispensing parameters to maintain production reliability, eliminating time-consuming manual monitoring and decision-making.
4Adaptability or versatility
If modular food containers are used, then adaptability of assembly line is improved, but device complexity in handling increases
Solution Approach 1:
The conveyor system is designed with dynamic positioning capabilities that can automatically adjust the location and sequence of food containers based on the specific menu item being assembled. This dynamic reconfiguration enables the same hardware to handle various menu items efficiently without requiring complex mechanical retooling or manual intervention for each product change.
Data Source
AI summary
One variation a food production system includes: a module housing; a preparation surface arranged above the module housing; a food-dispensing module installed within the module housing and configured to dispense units of an ingredient toward a conveyor module arranged within the module housing; an alert panel integrated within the preparation surface; a set of sensors integrated within the module housing and configured to output timeseries control data representing status of operations at the module housing; and a controller. The controller can: coordinate motion of the conveyor module and selectively trigger the food-dispensing module to dispense the ingredient into a food container, on the conveyor module, to assemble a food product according to a food order; and, in response to interpreting a trigger event based on timeseries control data, trigger the alert panel to output a detectable signal configured to alert an operator of the trigger event at the module housing.