Customizable Environmental Data Logging System
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Solution Overview
Problem
Users of environmental data logging systems lack control over data collection and analysis programs, with limited flexibility to customize or create protocols based on specific needs or preferences, restricting their ability to effectively monitor and analyze environmental parameters.
Innovation Solution
A customizable data logging and analysis system that allows users to select and customize user interface programs through a workflow selection interface, enabling the creation or modification of data collection protocols using a mobile device with touch screen and computing capabilities, and offering options for text notes, audio notes, and statistical analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a default data logging program is used, then the system is simple to operate, but the user lacks flexibility and control over data collection protocols
Solution Approach 1:
The system divides the data logging functionality into separate, selectable programs or protocols. Each protocol can be independently configured and selected based on specific monitoring needs, allowing users to choose from pre-defined options while maintaining the ability to customize individual protocol parameters without overwhelming complexity.
Solution Approach 2:
The system transitions from a static default program to a dynamic configuration model where users can select and customize data logging protocols according to their specific needs. The interface allows real-time modification of protocol parameters, enabling the system to adapt to different monitoring scenarios while maintaining ease of operation through guided setup procedures.
2Adaptability or versatility
If users can customize data collection programs, then flexibility and control are improved, but the system complexity increases
Solution Approach 1:
The system provides pre-configured data logging protocols that cover common monitoring scenarios. Users can select from these pre-defined protocols and make minor customizations as needed, rather than building protocols from scratch. This preliminary preparation reduces the complexity burden on users while maintaining flexibility for specialized applications.
Solution Approach 2:
The system introduces an intermediary configuration interface that mediates between the user's needs and the complex underlying data logging functionality. This interface provides guided setup, parameter validation, and template-based configuration that simplifies the customization process while still allowing access to advanced features when needed.
3Adaptability or versatility
If multiple data logging protocols are available, then adaptability to different applications is improved, but the interface complexity increases
Solution Approach 1:
The system allows users to configure different data logging protocols with specific parameters tailored to local monitoring requirements. Each protocol can be optimized for particular applications (e.g., indoor air quality, industrial hygiene, clean room monitoring) while maintaining a unified interface that presents consistent interaction patterns across all protocols, reducing overall interface complexity.
Data Source
AI summary
A method and system for customizing a data logging and analysis program. The method includes connecting environmental sensors to a computer or other data collecting device and accessing a workflow customization interface that allows a user to select a customized workflow or optionally to customize a data collection program by selecting at least one action. The method also includes accessing a user interface to run a customized program.