Normalise Filter Plugin

The foglamp-filter-normalise plugin allows the user to normalise the timestamps of all readings that pass through the filter. The filter will extrapolate from the available data to produce data at a set rate. This particularly useful when data is coming from multiple sources at the data from each is not create at precisely the same point in time.

When adding a normalise filter to either the south or north, via the Add Application option of the user interface, a configuration page for the filter will be shown as below;

• Rate: The desired rate at which the readings should emerge from the filter to the next element of the data pipeline.

• Unit: The unit that the above rate is expressed in, e.g. per hour, per minute or per second.

Click on the Enabled option and then click on Done to add the filter.

See Also

foglamp-filter-ADM_LD_prediction - Filter to detect whether a large discharge is required for a centrifuge

foglamp-filter-asset - A FogLAMP processing filter that is used to block or allow certain assets to pass onwards in the data stream

foglamp-filter-breakover - Filter to forecast the possibility of a breakover.

foglamp-filter-change - A FogLAMP processing filter plugin that only forwards data that changes by more than a configurable amount

foglamp-filter-delta - A FogLAMP processing filter plugin that removes duplicates from the stream of data and only forwards new values that differ from previous values by more than a given tolerance

foglamp-filter-enumeration - A filter to map between symbolic names and numeric values in a datapoint.

foglamp-filter-expression - A FogLAMP processing filter plugin that applies a user define formula to the data as it passes through the filter

foglamp-filter-fft - A FogLAMP processing filter plugin that calculates a Fast Fourier Transform across sensor data

foglamp-filter-log - A FogLAMP filter that converts the readings data to a logarithmic scale. This is the example filter used in the plugin developers guide.

foglamp-filter-metadata - A FogLAMP processing filter plugin that adds metadata to the readings in the data stream

foglamp-filter-python35 - A FogLAMP processing filter that allows Python 3 code to be run on each sensor value.

foglamp-filter-rate - A FogLAMP processing filter plugin that sends reduced rate data until an expression triggers sending full rate data

foglamp-filter-rename - A FogLAMP processing filter that is used to modify the name of an asset, datapoint or both.

foglamp-filter-rms - A FogLAMP processing filter plugin that calculates RMS value for sensor data

foglamp-filter-sam - A single Asset Model filter for creating a semantic model of an asset from one or more data sources

foglamp-filter-scale-set - A FogLAMP processing filter plugin that applies a set of sale factors to the data

foglamp-filter-specgram - FogLAMP filter to generate spectrogram images for vibration data

foglamp-filter-statistics - Generic statistics filter for FogLAMP data that supports the generation of mean, mode, median, minimum, maximum, standard deviation and variance.

foglamp-filter-vibration_features - A filter plugin that takes a stream of vibration data and generates a set of features that characterise that data

foglamp-south-Expression - A FogLAMP south plugin that uses a user define expression to generate data