Multi-Scale Alumina Process Data Alignment Across Mixed Sampling Rates
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Solution Overview
Problem
The existing aluminum oxide production processes face challenges in efficiently acquiring and processing multi-scale data due to differences in data sampling frequencies and sources, leading to data information occlusion and increased processing difficulties, which affect enterprise efficiency.
Innovation Solution
A multi-scale data acquiring and processing device comprising a production index and variable configuring module, data acquiring module, main control module, data processing module, data storing module, and data transmitting module, which enables unified management of data through wired and wireless ports, timestamp alignment, abnormal value filtering, and format conversion, facilitating data storage and transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple sensors and control devices with different data sampling frequencies are used to acquire data in the aluminum oxide production process, then the comprehensiveness of data collection is improved, but the difficulty of data processing increases
Solution Approach 1:
The patent segments data processing by creating distinct modules for different data types and sampling frequencies. The system divides data acquisition into multiple channels (sensors, control devices, image collectors) each handling specific data streams, and processes them through separate processing pipelines before integration, thereby managing complexity while maintaining comprehensive data collection
Solution Approach 2:
The patent introduces a data processing module as an intermediary between data acquisition and data storage/analysis. This module standardizes data from multiple sources with different sampling frequencies by performing timestamp alignment, format conversion, and quality filtering, acting as a mediator that reconciles heterogeneous data streams into a unified format
2Measurement precision
If manual data processing is performed by staff for data from multiple sources, then data accuracy can be maintained, but enterprise efficiency is reduced
Solution Approach 1:
The patent implements self-service through automated data processing modules that perform quality filtering, timestamp alignment, and format standardization without human intervention. The system automatically detects and corrects data quality issues, aligns temporal references, and transforms data formats, maintaining accuracy while eliminating manual processing requirements
Solution Approach 2:
The patent incorporates feedback mechanisms where processed data quality is continuously monitored and fed back to adjust processing parameters. The system automatically detects anomalies, filters abnormal values, and adjusts processing thresholds based on observed data patterns, maintaining high accuracy through automated feedback-driven quality control
Data Source
AI summary
A multi-scale data acquiring and processing device and method for an aluminum oxide production process. The device includes a production index and variable configuring module, a data acquiring module, a data storing module, a main control module, a display module, a data processing module and a data transmitting module. The main control module is used for emitting a command, acquiring production indexes and variables generated in the aluminum oxide production process by different process control devices, and is used for performing unified processing, storage and display on the data, and further the data is transmitted through a transmitting module to systems or devices using the data.