System and method for optimizing a cleaning session of a food processing system
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Industrial freezers face inefficiencies in the defrosting and cleaning processes, particularly in monitoring and optimizing the cleaning protocols to ensure food safety and sanitation, due to inadequate detection and analysis of physical properties during cleaning sessions, leading to potential pathogen growth and contamination.
Innovation Solution
A system comprising sensors and a machine computing device that detects and measures physical properties during cleaning sessions, processes data to display metrics, and provides real-time feedback for optimizing the cleaning process, ensuring effective defrosting and sanitation by comparing current sessions to past averages and generating alarms for corrective actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional cleaning processes are used without monitoring, then the cleaning protocol cannot be optimized, but food safety and sanitation effectiveness deteriorate due to potential pathogen growth
Solution Approach 1:
The system implements feedback by using sensors to detect physical properties during cleaning sessions and providing real-time monitoring and analysis. The machine computing device receives sensor data, processes it to generate metrics, and displays them for optimization of cleaning protocols, ensuring food safety through data-driven decisions
Solution Approach 2:
The patent replaces manual cleaning monitoring with an automated sensor-based detection system. Sensors detect physical properties such as temperature, humidity, and other parameters during cleaning sessions, substituting human observation and manual record-keeping with automated electronic monitoring and data analysis
2Productivity
If comprehensive sensor monitoring is implemented, then cleaning process optimization is improved, but device complexity increases
Solution Approach 1:
The machine computing device serves multiple functions: it receives data from sensors, processes the sensor data, generates cleaning metrics, stores data in a database, and displays information. This multi-functional approach consolidates what could be separate complex systems into a single integrated platform
Solution Approach 2:
The machine computing device acts as an intermediary between the sensors and the user. It receives raw sensor data, processes it through algorithms to generate meaningful metrics, and presents processed information through displays, simplifying the interface between complex sensing systems and human operators
3Reliability
If real-time monitoring and analysis are implemented, then cleaning effectiveness is improved, but time and resources for processing increase
Solution Approach 1:
The system implements continuous monitoring during cleaning sessions rather than periodic sampling. Sensors continuously detect physical properties, and the machine computing device continuously processes data and generates metrics, ensuring no critical information is missed and enabling real-time optimization of cleaning protocols
Solution Approach 2:
The machine computing device automatically processes sensor data and generates cleaning metrics without requiring manual intervention. The system self-manages data reception, processing, storage, and display, reducing the time and resources needed for manual analysis while maintaining comprehensive monitoring
Data Source
AI summary
A system for optimizing a cleaning process of a food processing machine having at least one sensor and a computing device having at least one processor and a non-transitory computer-readable medium that is communicatively coupled to the food processing machine and a data store and computer-executable instructions stored thereon including executing instructions by the at least one processor to cause the computing device to perform actions including: receiving, by the computing device, data from the at least one sensor; processing, by the computing device, the data from the at least one sensor; and displaying, by the computing device, processed sensor data as a first metric relating to at least one cleaning step of a selected cleaning session of the food processing machine compared to an average first metric of the at least one cleaning step of a plurality of past cleaning sessions of the food processing machine.