Time Series User Interface for Batch Data Alignment
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Solution Overview
Problem
Existing systems for analyzing and controlling time series data from sensors are inadequate, requiring extensive manual setup and data preparation, and are slow and tedious, making it difficult to manipulate and compare large amounts of data effectively.
Innovation Solution
A time-series interaction user interface that stores and indexes data using an object-oriented model, allowing for the alignment and comparison of time series data from different batches, with features like automatic data retrieval, plotting, and user interaction for control of technical systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual setup and data preparation is used to analyze time series data, then data analysis can be performed, but the process becomes slow and tedious
Solution Approach 1:
The system performs preliminary actions by automatically indexing time series data according to an object-oriented model that organizes data into batches with defined start and end times. This pre-organization of data structures and relationships eliminates the need for manual setup during analysis, allowing users to directly query and compare batches without tedious data preparation steps.
Solution Approach 2:
The patent introduces an intermediary layer between raw sensor data and user analysis through an object-oriented data model. This model acts as a mediator that automatically manages data organization, batch creation, and relational information, shielding users from the complexity of raw time series data while enabling efficient comparison and analysis across multiple batches.
2Device complexity
If all time series data from sensors is stored together in a large data set, then data storage is simplified, but data manipulation and comparison becomes unwieldly
Solution Approach 1:
The system segments the large time series data set into discrete batches, each with defined start and end times. This segmentation organizes the continuous data stream into manageable units that can be independently manipulated, queried, and compared. The object-oriented model further segments data into objects with specific properties, making it easier to handle and analyze specific portions of the data without dealing with the entire data set at once.
Solution Approach 2:
The patent adds temporal dimensionality to the data structure by organizing time series data into batches with explicit start and end times. This dimensional organization transforms the flat, unwieldly data set into a multi-dimensional structure where data can be sliced, diced, and compared across different time periods, enabling efficient manipulation and analysis without increasing storage complexity.
3Ease of operation
If existing user interfaces are used to view and compare time series data, then data can be displayed, but extensive manual setup and data preparation is required
Solution Approach 1:
The system implements self-service by automatically organizing time series data into batches with defined temporal boundaries and relational information. The object-oriented model self-organizes the data structures, creating ready-to-analyze batches without requiring users to manually prepare or configure data. This self-organizing capability eliminates the extensive manual setup previously required, allowing users to directly interact with pre-organized data through simplified interfaces.
Data Source
AI summary
Methods and systems for structuring, storing and displaying time series data in a user interface. One system includes processors executing instructions to determine, from time series data from a first sensor, a first subset of time series data for the first batch from the first start time and the first end time, determine, from the time series data from the first sensor, a second subset of time series data for the second batch from the second start time and the second end time, generate a time series user interface comprising a chart, the chart including a first plot for the first subset of time series data and a second plot for the second subset of time series data, the first plot being aligned to the second plot, and cause presentation of the time series user interface.