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Air Filtration System Efficiency Logs
Data Science and Analytics
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About
This collection of performance metrics focuses on air filters installed within operational environments, such as large ventilation systems found in shopping malls and hospitals. The data documents the operational lifespan and effectiveness of these filters, capturing essential parameters like filter type, age, pressure drop, and the corresponding efficiency rating over time. A key aspect of this data is the measurement of particulate matter (PM2.5 and PM10) concentrations recorded simultaneously at both the inlet and outlet of the filters. This allows users to gain insights into how effectively different filter types remove harmful particles from the air stream. The dataset is crucial for those involved in monitoring air quality, developing preventative maintenance schedules, and ensuring optimal air filtration standards across varied industrial and commercial settings. It also includes flags for anomalies and filters requiring replacement.
Columns
The dataset contains 14 columns detailing various measurements and identifiers:
- timestamp: The precise date and time the measurement was taken, spanning from January 2021 to July 2023.
- filter_name: A specific identifier for the filter unit (e.g., Electrostatic_Filter_Mall).
- location: The physical site where the filter is installed, such as a Shopping Mall or Manufacturing Unit.
- filter_class: The general type of filter used, including HEPA and Electrostatic types.
- filter_age_days: The age of the filter, measured in days.
- load_factor: A normalized measure representing the current dust load on the filter.
- pressure_drop_pa: The resistance across the filter, measured in Pascals.
- efficiency: The measured performance metric of the filter.
- inlet_pm25: The concentration of PM2.5 particulate matter entering the filter.
- outlet_pm25: The concentration of PM2.5 particulate matter exiting the filter.
- inlet_pm10: The concentration of PM10 particulate matter entering the filter.
- outlet_pm10: The concentration of PM10 particulate matter exiting the filter.
- replacement_needed: A status flag indicating whether the filter requires replacement (0 or 1).
- hour: The hour of the day the measurement was recorded.
Distribution
The data is provided in a tabular format within a CSV file, named
air_filter_data.csv, which is approximately 2.79 MB in size. It contains 14 columns and features approximately 21,900 valid records. The expected update frequency for this dataset is "Never."Usage
This data product is ideal for several practical applications:
- Optimising scheduled maintenance of air filtration systems.
- Developing predictive models to determine when a filter will reach maximum load or require replacement.
- Monitoring and maintaining high standards of indoor air quality in sensitive environments.
- Analysing the long-term performance and degradation patterns of various filter types.
- Performing exploratory data analysis and data visualisation related to facility management and environmental engineering.
Coverage
The dataset covers measurements recorded over a period starting on 1 January 2021 and concluding on 3 July 2023. The data originates from various installation sites, primarily focusing on large facility ventilation systems, including shopping malls and manufacturing units.
License
CC0: Public Domain
Who Can Use It
This product is suitable for facility managers seeking to streamline operational costs and maintenance routines, HVAC engineers designing ventilation systems, and data analysts or researchers studying environmental air quality and particle filtration effectiveness. It provides the necessary inputs for creating dashboards aimed at real-time air quality monitoring.
Dataset Name Suggestions
- Air Filtration System Efficiency Logs
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Attributes
Original Data Source: Air Filtration System Efficiency Logs
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