Computed measurement

This page describes computed measurement in detail.

Overview

As described here, computed measurement is a type of data that is generated from other data sources.

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Design

The first thing to do when designing a computed measurement is to decide what are the inputs and what to output. A computed measurement can specify multiple measurements as input. Metrics and tags in those measurement will then be available to the function that is responsible for generating the output.

Input Measurements

Any measurement measurements that that are available to you in the CMS can be used an input measurements for your computed measurement.

You should choose only the measurements with metrics that are needed for you to calculate your computed measurement as your input measurements.

Output Measurements

Any data that you want to create with your computed measurement should be packaged in an output measurement. An output measurement has the same composition (metrics, tags, timestamp) as other measurements in Senfi.

When designing the output measurement metrics and tags, should consider the following:

• Metrics: The metrics that you want and how to calculate them from your input measurement(s).
• Tags: What tags that allow you to differentiate computed measurements derived from different sensors. You can re-use the tags from input measurements or specify different tags depending on the outcome of your computed measurement's computation.
• Timestamp: Whether to use the input measurement's timestamp, or the time the computed measurement was output.

Implementation

To generate computed measurements, you will write a script that can process your selected input measurements, perform any calculations or logic necessary, and output the computed measurement data.

The computed measurement script consists of two functions:

• Initialization: Sets up the script
• Computation: Processes data from input measurements, performs calculations and output your computed measurement

Script Initialization

The script initialization function can be used to initialized any data structures you need for logic and state management of your script.

This is the script initialization function template:

 /**
  * @name: init
  * @description: Perform one-time initialization of your script
  * param {string}
  **/
 async function init() {
   // Perform initialization of script here
   // TODO
 } 

You may choose to leave this function empty if your computed measurement does not need to keep track of data across multiple or consecutive input measurements, such as summation of metric values or checking the difference between a pairs of input measurements.

 /**
  * @name: init
  * @description: Perform one-time initialization of your script
  * param {string}
  **/
 async function init() {
    // Initialization not required
 } 

If your computed measurement needs to keep track of data across multiple or consecutive input measurements, you should create the appropriate data structures here.

You can also declare global variables. For example:

 // Declare global variable for a summation value
 let sum;
 
 /**
  * @name: init
  * @description: Perform one-time initialization of your script
  * param {string}
  **/
 async function init() {
   // Initialize sum to zero
   sum = 0;
 } 

Script Computation

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 ... Junhao feedback that it is unclear that you must output a valid measurement. he thought he has to always output something, like NULL during initial invocation ...

Testing

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Execution

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Examples

Example 1: Temperature Scale Conversion

This example shows a simple usage of computed measurement.

Imagine you have a temperature sensor that sends raw temperature values in degrees Farenheit (℉) and you want to show the temperature in degrees Celsius (°C) instead. This is the temperature measurement from the temperature sensor that you have as input:

 {
   "tm_source": xxxxxxxxxx,
   "site_id" xxxxxxxx,
   "tag1": "xxxxxxxx",
   "tag2": "xxxxxxxx",
   "temperatureF": xxxxxxxxx
 }

And this is the computed measurement that you want to output:

 {
   "tm_source": xxxxxxxxxx,
   "site_id" xxxxxxxx,
   "tag1": "xxxxxxxx",
   "tag2": "xxxxxxxx",
   "temperatureC": xxxxxxxxx
 }

You can use the following script to perform the temperature metric conversion:

 /**
  * @name: init
  * @description: Perform one-time initialization of your script
  * param {string}
  **/
 async function init() {
   // No initialization tasks required for this simple example
 } 
 
 /**
  * @name: compute
  * @description: Perform computation on watching measurements. This function is called when new measurements arrive
  * @param {string} measurement - The source measurement name
  * @param {Array.<object>} data - The measurement array data
  **/
 function compute(measurement, data) {    
   // Loop through the array of incoming measurements,
   // and convert 'temperatureF' to 'temperatureC'
   for (let i = 0; i < data.length; i++) {
     const inputMeasurement = data[i];
     const temperatureF = inputMeasurement.temperatureF;
  
     // Calculate the temperature in C
     const temperatureC = (temperatureF − 32) * 5/9; 
  
     const outputMeasurement = {
       tm_source: inputMeasurement.tm_source,
       site_id: inputMeasurement.site_id,
       tag1: inputMeasurement.tag1,
       tag2: inputMeasurement.tag2,
       temperatureC: temperatureC,
     };  
   
     // Output computed measurement
     output(outputMeasurement);
   }
 }
 
 /**
  * @function output 
  * @description: User-invoked function to output a computed measurement
  * @param {Object} outputData - Object containing output metrics (required tags, optional tags, measurement metrics)
  * @param {string} outputData.tm_source - Timestamp (Same as input measurement)
  * @param {string} outputData.site_id - Site Id (Same as input measurement)
  * @param {string} outputData.tag1  - Tag1 (Same as input measurement)
  * @param {number} outputData.tag2 - Tag2 (Same as input measurement)
  * @param {boolean} outputData.temperatureC - Calculated temperature in C
 **/
               

Example 2

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