Osprey HSS Data Processing Brief. Measuring settlement

The HSS is a system for measuring settlement under earthwork.
It is a hydraulic tube with pressure sensors every x meters along the tube.

1. Osprey HSS Data Processing Brief

2. Concept & Data Source The HSS is a system for measuring settlement under earthwork. It is a hydraulic tube with pressure sensors every x meters along the tube. We call each of these sensors a “Node”, each node contains 3 pressure sensors and a temperature sensor The data is captured by a datalogger and sent to our system

3. Data Schema Data arrives in tabular format (.csv): Each row represents 1 “Sample” Each sample contains: Timestamp Reading Index For Node 1:n, pressure from sensors 1:3 + temperature A “Reading” may consist of multiple samples (in order to allow averaging & error detection)

4. Error / Outlier detection All pressure sensor values should be zeroed with respect to their factory start value (supplied in an immutable array) For each pressure sensor, all samples in a reading should have their Standard Deviation recorded. All samples on all three pressures sensors on each node can then be averaged, this and the standard deviation recorded. Standard deviations generated should be plotted on simple line chart (i.e. plotly ) for human analysis.

5. Data Calculations Validated Averages of each node for each reading are tabulated These are converted to engineering units Data for each Reading is “Baselined” (zeroed) to a specific time, or average across a time range. Data for each Node is “Benchmarked” to a specific Node, or average of Nodes, for a given reading.

6. Data Presentation Interactive plots Check boxes to select which nodes are Benchmark nodes Surface plot style and fading line style