Cloud Waveform Data Segmentation for Multi-User Collaboration
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Solution Overview
Problem
Current test and measurement systems face challenges in enabling effective collaboration among multiple users due to limitations in accessing and analyzing large waveform data, with existing cloud platforms struggling to provide efficient sharing and visualization of multi-gigabyte files, leading to a poor user experience and restricted analysis capabilities.
Innovation Solution
A cloud-based platform that allows remote user devices to access, store, and process test and measurement data, enabling users to select and configure views of acquired waveforms, perform data transformations, and share them with others, using a presentation layer that renders timelines and configurable viewing windows with user-selectable features, while also compressing and segmenting data for efficient viewing and collaboration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If acquired waveforms are stored in a cloud-based platform for multi-user access, then collaboration capability is improved, but data access time and processing speed deteriorate due to the large size of waveform files
Solution Approach 1:
The patent segments the acquired waveform data into multiple partitions or chunks stored in the cloud platform. Each partition can be independently accessed and processed, allowing users to retrieve only the specific data segments they need rather than downloading entire multi-gigabyte waveform files. This segmentation enables faster data access while maintaining cloud-based collaboration capabilities.
2Loss of information
If the complete acquired waveform data is transmitted to remote user devices, then analysis capability is improved, but network bandwidth consumption and transmission time worsen
Solution Approach 1:
The patent extracts and transmits only the specific waveform partitions or data segments that are relevant to each user's analysis needs, rather than transmitting complete acquired waveform data. The cloud platform identifies and delivers only the necessary portions of data to remote user devices, reducing network bandwidth consumption while preserving the analytical capability required for each user's specific tasks.
3Productivity
If multiple users access the same waveform data simultaneously, then collaboration efficiency is improved, but system complexity and data management difficulty worsen
Solution Approach 1:
The patent implements a universal cloud-based platform architecture that handles multiple user access, data partitioning, and collaboration functions through a unified system. The platform provides multi-functional capabilities including data storage, segmentation, selective transmission, and simultaneous multi-user access management, reducing the complexity that would otherwise arise from implementing these functions across multiple separate systems.
Data Source
AI summary
Methods and systems provide access to acquired waveforms from a test and measurement instrument for multiple users. A method includes storing acquired waveforms from the instrument in a cloud-based platform and rendering, on a display of a first remote user device, a timeline illustrating in chronological order each acquired waveform from the instrument in response to the acquired waveform being stored in the cloud-based platform. An acquired waveform on the timeline is selected for viewing and at least one user-selectable feature view configured to display corresponding characteristics of the selected acquired waveform. A file from the cloud-based platform is received including data for the at least one user-selectable feature view and the configurable viewing window including the at least one user-selectable feature view using the file received is rendered on the first remote user device. The configurable viewing window may be shared with at least one other remote user device.