CIP Wash Summary Library for Food Processing Data
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Solution Overview
Problem
Clean-in-place systems in food processing plants face challenges in data organization and usability, making it difficult for users to analyze and improve cleaning processes without expert knowledge, and inefficient consumable utilization.
Innovation Solution
A system and method for cataloging and viewing clean-in-place (CIP) data, using programmable processors to organize and display CIP process data into phases and consumables, providing a graphical user interface for sorting and filtering, and generating a CIP library to track consumable costs and exceptions, allowing users to easily monitor and troubleshoot CIP processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If clean-in-place systems circulate cleaning solutions through food processing equipment to enable cleaning without disassembly, then cleaning accessibility is improved, but data organization and analysis capability deteriorates
Solution Approach 1:
The patent segments CIP process data into distinct categories including process data (temperature, pressure, flow rates), chemical data (concentrations, compositions), equipment data (pump performance, valve positions), and consumable data (usage amounts, costs). This segmentation transforms the unorganized mass of data into structured, analyzable components that can be easily accessed and interpreted by users without extensive CIP expertise.
2Reliability
If clean-in-place processes use multiple equipment components operating in conjunction, then cleaning effectiveness is improved, but data complexity increases
Solution Approach 1:
The patent merges data from multiple CIP equipment components (pumps, valves, temperature control systems, chemical dosing systems) into a unified data structure that can be viewed collectively or individually. The system allows users to access consolidated process data that reflects the coordinated operation of all components, while also enabling drill-down to specific component-level data when needed, thus managing complexity while maintaining effectiveness.
3Ease of manufacture
If CIP process data is stored as unorganized mass data, then data storage simplicity is improved, but user analysis capability deteriorates
Solution Approach 1:
The patent introduces an intermediary data processing layer that sits between the raw data storage system and the user interface. This intermediary automatically organizes, validates, and structures the CIP process data according to predefined categories and relationships, transforming unorganized mass data into structured information that users can easily analyze without requiring extensive CIP expertise or manual data processing.
4Adaptability or versatility
If users without CIP expertise attempt to analyze CIP process data, then system autonomy is improved, but analysis accuracy deteriorates
Solution Approach 1:
The patent implements self-service capabilities that enable users without CIP expertise to independently analyze process data. The system automatically performs data validation, identifies anomalies, provides contextual information about process parameters, and generates actionable insights without requiring user expertise. This self-service approach maintains system autonomy while ensuring analysis accuracy through automated expert-level processing.
Data Source
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AI summary
One embodiment includes a method for monitoring a CIP process previously performed. The method includes accessing CIP process data stored in a CIP library. The CIP process data includes CIP phase data associated with a plurality of CIP phases in the CIP process previously performed, equipment data associated with objects used in the CIP process during one or more of the CIP phases, and consumable data associated with consumables consumed by corresponding equipment in the CIP process. In addition, the method includes displaying at least a portion of the CIP process data, and providing a graphical user interface. The graphical user interface is configured to: organize the CIP process data into at least one of (i) a plurality of CIP phases or (ii) consumable data, and sort equipment data according to one or more of the plurality of corresponding CIP phases or corresponding consumables.