Environmental Sensor - Data visualization
The Environmental Sensor by Move Solutions provides continuous monitoring of key atmospheric, acoustic, and wind-related parameters. Within the MyMove platform, collected data is categorized and visualized under three main functional Agents: AIR, NOISE, and WIND. Each Agent includes specialized charts and configurable options for technical users to extract detailed insight from real-time and historical environmental data.
Agent AIR
Air Quality Channel:
For all charts in this channel, users can specify the Aggregation Criteria (e.g., First point in the aggregation window, Maximum values, Minimum values).
Particulate Matter Concentration
The Particulate Matter Concentration chart is a multi-trace histogram that visualizes the concentration of airborne particulate matter (PM) categorized by particle diameter. The chart includes four overlaid traces, each representing a specific PM class:
PM1: Particles with diameter ≤ 1 µm
PM2.5: Particles with diameter ≤ 2.5 µm
PM4: Particles with diameter ≤ 4 µm
PM10: Particles with diameter ≤ 10 µm
Each bar represents the particle concentration measured during the corresponding acquisition, allowing direct comparison of fine and coarse particulate levels over time.
Air Pressure
The Air Pressure chart is a line graph that displays the atmospheric pressure trend recorded over time. Each data point represents the pressure value measured during a given acquisition, providing insight into temporal variations in barometric conditions.
Atmospheric pressure is measured in Pascals (Pa) using a piezoresistive pressure sensor embedded in the device, with high sensitivity to short- and long-term pressure fluctuations.
Humidity
The Humidity chart is a line graph that displays the trend of relative humidity (RH) measured in the air during each acquisition. Relative humidity is expressed as a percentage (%), representing the ratio between the current absolute humidity and the maximum possible humidity at the same temperature.
Measurements are taken via a capacitive humidity sensor integrated into the device and reflect ambient moisture conditions in real time or aggregated form, depending on user-selected display settings.
Rain Channel:
Each chart supports global aggregation criteria to tailor data visualization precision.
Rainfall over Cadence
The Rainfall over Cadence chart is a histogram that displays the rainfall accumulation recorded over the configured acquisition cadence. Each bar corresponds to the total amount of rainfall (in millimeters) collected during a single acquisition period, with no additional temporal aggregation.
Rainfall is measured using a tipping bucket mechanism, where each tip equates to a fixed increment of 0.2 mm. The system counts the number of tips during each cadence interval to compute the rainfall total.
Rainfall over Evaluation Window
The Rainfall over Evaluation Window chart is a histogram that displays the total accumulated rainfall measured over a user-defined evaluation window. Each bar represents the rainfall amount (in millimeters) registered during the corresponding acquisition, integrated over the selected time interval.
The evaluation window can be configured in the device settings and determines the period over which rainfall pulses—detected by the tipping bucket mechanism—are aggregated.
Temperature Channel:
Temperature
Dual-line chart displaying both maximum and minimum temperatures for each acquisition event. This layout enables the evaluation of thermal range variability over time. Units: °C / °F
Agent NOISE
Noise Channel:
For all Noise channel charts, a global Aggregation Criteria is available to modify the data resolution or summary method.
Equivalent Sound Level
The Equivalent Sound Level chart is a dual-line time series graph that displays the equivalent continuous sound pressure levels (Leq) calculated over each acquisition window. The values are frequency-weighted using both A- and C-weighting curves to reflect different spectral sensitivities:
LAeq: Equivalent level with A-weighting
LCeq: Equivalent level with C-weighting
Both parameters are expressed in decibels (dB). The chart provides a representation of the averaged acoustic energy over time, enabling assessment of continuous noise exposure.
Maximum Sound Level
The Maximum Sound Level chart is a multi-line time series graph that displays the maximum sound pressure levels recorded during each acquisition, calculated using both A- and C-weighted filters combined with different time-weighting constants:
LAF max: A-weighted, Fast response
LCF max: C-weighted, Fast response
LAS max: A-weighted, Slow response
LCS max: C-weighted, Slow response
All parameters are expressed in decibels (dB). The chart allows for temporal comparison of peak sound levels across different weighting and time-averaging configurations.
Maximum Pressure Level
The Maximum Pressure Level chart is a dual-line time series graph that displays the peak sound pressure levels recorded during each acquisition. These values represent the maximum instantaneous sound pressure measured and are frequency-weighted using standard filtering curves:
LA peak: Peak level with A-weighting applied.
LC peak: Peak level with C-weighting applied.
Both parameters are expressed in decibels (dB) and plotted simultaneously to enable direct comparison between the A- and C-weighted peak measurements over time.
A-Weighted Statistical Noise Level
The A-Weighted Statistical Noise Level chart is a histogram that visualizes the statistical distribution of sound pressure levels filtered using the A-weighting curve, which approximates the human ear’s sensitivity to different frequencies. The chart includes three parameters:
LAF10: The sound pressure level exceeded for 10% of the acquisition duration.
LAF50: The level exceeded for 50% of the time, corresponding to the median.
LAF90: The level exceeded for 90% of the time, indicating the baseline or background noise level.
All values are measured in decibels (dB). The histogram overlays these metrics to represent the temporal distribution of A-weighted sound levels during the selected measurement window.
C-Weighted Statistical Noise Level
The C-Weighted Statistical Noise Level chart is a histogram that represents the statistical distribution of sound pressure levels filtered using the C-weighting curve, which emphasizes low-frequency components more than A-weighting. The chart displays three key parameters:
LCF10: The sound pressure level exceeded for 10% of the total acquisition period.
LCF50: The level exceeded for 50% of the time, representing the median value.
LCF90: The level exceeded for 90% of the time, indicating the prevailing background level.
Each parameter is expressed in decibels (dB). The histogram overlays these three metrics to provide a temporal overview of the distribution of C-weighted sound pressure levels during the selected acquisition window.
Agent WIND
Wind Rose:
Wind Rose Chart
The Wind Rose provides a comprehensive visualization of wind behavior through a polar chart and a corresponding data table. The polar chart illustrates the percentage of time the wind was observed blowing from each directional sector, along with the distribution of wind speeds within predefined speed bins. Users can dynamically adjust the angular resolution (e.g., 4, 8, 16, or 36 directional segments) and select from various color schemes to optimize readability.
Complementing the chart, the Wind Rose Table offers a structured, tabular view of the same dataset. Each row represents a directional group (e.g., N, NE, E, etc., depending on segmentation), while columns correspond to wind speed bins. The cell values indicate the frequency with which wind events occurred in each direction-speed combination, supporting granular analysis and reporting.
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