ARDI Documentation - capture

Layers by Action

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Layers by Action Break the time up into regular days. Get sensor values or other time-series data. Get events. Lookup data from a table. Lookup data from a current/recent/later event.

AI Models

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

AI Models You can use your capture data to train AI predictive models that can estimate your resulting values based on a chosen set of inputs. For example, you might estimate the minimum and maximum tolerances of a system based the various different types of product you produce, as well as ambient environmental conditions.

AI vs Fuzzy Matching

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

AI vs Fuzzy Matching If you're trying to use your captured data to suggest setpoints, system setups, recipes etc, there are two main options for how you can search for the values you need. Fuzzy Matching uses smart search to find a time where you've made a similar product in the past.

AI Prediction

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

AI Prediction AI Prediction is used when you want to try to predict what specific capture values should be based on other capture values. Most often, you're trying to predict a result from something you know before-hand, such as... * Determining product quality from the current system state,

Capture API Function

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Capture API Function This function is used to get details of a single capture via the Capture API Endpoint /capture/capture This may be a GET or POST request. For example, the full URL on the server mycompanyname in site default would be.... https://mycompanyname/s/default/capture/capture?name=mycapturetype&id=2025_10_10

API Functions

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

API Functions The following API functions are available for the Capture addon... CAPTURE - Gets detailed results about a single capture DOWNLOAD - Gets capture result data in CSV format. LIST - Returns a list of capture results with filters & pagination. MATCH - Return the closest matching capture

Download API Function

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Download API Function This function is used to download files containing all of the detailed information in captures via the Capture API. Endpoint /capture/download This may be a GET or POST request. For example, the full URL on the server mycompanyname

List API Function

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

List API Function This function is used to request lists of captures taken in the Capture API. Endpoint /capture/list This may be a GET or POST request. For example, the full URL on the server mycompanyname in site default would be.... https://mycompanyname/s/default/capture/list?name=mycapturetype

Match API Function

anonymous@undisclosed.example.com (Anonymous) — Thu, 19 Feb 2026 03:34:39 +0000

Match API Function This function is used to request the closest matching capture via Capture API. Endpoint /capture/match This may be a GET or POST request. For example, the full URL on the server mycompanyname in site default would be.... https://mycompanyname/s/default/capture/match?name=mycapturetype&...

Run API Function

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Run API Function This function is used to trigger a capture run and is part of the Capture API Endpoint /capture/run This may be a GET or POST request. For example, the full URL on the server mycompanyname in site default would be.... https://mycompanyname/s/default/capture/run?name=mycapturetype

Types API Function

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Types API Function This function is used to list all of the different capture types available via the Capture API. Endpoint /capture/types For example, the full URL on the server mycompanyname in site default would be.... https://mycompanyname/s/default/capture/types Parameters

Update Index API Function

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Update Index API Function This function is used to tell the server to update its index based on new JSON files located in the capture folder. This is usually used as part of sourcing External Capture Data. Endpoint /capture/updateindex?name= For example, the full

Author Documentation

anonymous@undisclosed.example.com (Anonymous) — Thu, 19 Feb 2026 03:31:43 +0000

Author Documentation This section describes how to create Capture analytics using Layered Frame Analytics. What Is Layered Frame Analytics Why Use Capture? Layer Types Example Stacks File Structure Triggering a Capture Hiding Captures Overriding Values Adding Charts Adding Diagrams Fuzzy Search Bayesian Optimisation AI Models Back/Re-generating Data Setup Routine Updates Capture Data Externally API

Backgenerating & Regenerating

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Backgenerating & Regenerating If you want to regenerate data for previous points in time, you can use the backgen page. This URL takes three parameters... Name The 'name' parameter is the folder name of the capture - it will appear in the URL when browsing.

Inspection Results

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Inspection Results This discussion continues from our previous example in batch synchronisation. By the end of the five steps, we've ended up with a frame that looks like the one below... PropertyValueStartTime10:00EndTime12:00Order Number29238SKUAR-9233Machine Setting 1

Production Production Example

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Production Production Example Our Goal The goal is to capture how a key piece of machinery was set up for each individual batch we produced. Plan To do this, we will need a few steps. ---------- 1) Get the individual, successful batches, 2) For each batch, grab the activity of the machine,

Bayesian Optimisation

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Bayesian Optimisation Bayesian Optimisation is a technique used to try and find the optimum combination of input values to try and produce a maximum output value. In this case, we use it to try and give you the combination of attributes (such as speed, pressure, temperature etc.) you need to try and achieve a specific metric (such as quality, colour or other feedback measurement).

Optimisation

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Optimisation Optimisation is designed to help you find the ideal combination of attributes (that you are Capturing) to achieve a specific target outcome. For example, you might have a Capture that records your cupcake manufacturing line and has the

Building an AI Model

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Building an AI Model The following instructions are available in two versions, depending on the platform you're working on. Creating an AI - Windows Creating an AI - Linux

Calc

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Calc Performs a calculation on either a frame or the table items inside the frame. Parameters NameDefaultMeaningnameThe name of the final attribute/columnvalueThe value to be written. Substitutable.whereA condition that must be met for the calculation to happen.

Calculating a Total

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Calculating a Total If you have some form of rate value (such as a flow rate, power consumption etc), you can capture the total amount using the ValueSummary layer. In the example below, we're going to total a column named Water Main.Flow Rate. This rate is in

Calculating an Average

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Calculating an Average There are actually a couple of different ways to capture average, min or max values, depending on if you want to capture all of the values in your table, or just a couple. Capturing All Values To capture the average value of all of the columns in a table, you can use the

Data Distribution

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Data Distribution The Data Distribution page can be used to visualise how your various capture attributes are related. It creates scatter plots that let you look at a chosen attribute against any other attribute within the filter set. For example, you might want to compare the

Capture Detail

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Capture Detail This page shows the detailed information for a single capture event (ie. day, shift, batch etc.). It's normally reached from the capture list. [600] In some cases, there will only be a few key figures captured for any one event. However, in others there might be

Capture Types

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Capture Types A single ARDI site may have many different capture types set up. For example, a site might have... * Daily KPIs * Daily OEE/Availability Figures * Per-Shift Performance Metrics * Per-Batch Quality Metrics Each of these are a different

Adding Charts

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Adding Charts To help visualise the time-period represented by each frame, you can specify a URL (normally to a Grafana dashboard, but it could be to any web tool) that displays information about that period of time. This appears as a 'Show' link when viewing individual capture details.

CombineFrames

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

CombineFrames Combines different sets of timeframes to delete or add them together. Parameters NameDefaultMeaningwithThe name added to a previous call to timeframesmethodEither AND, OR or NOT Description This combines time-frames in various ways. When you call

Comparing

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Comparing Available from the capture list, this page lets you compare the chosen captures. For example, if you were keeping track of the different batches of product you were producing, you could use this function to find out the root cause of a quality issue.

Count

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Count Counts the number of records, rows or times where a condition is true. Parameters NameDefaultMeaningnameThe name of the value to be written to the framewhereA Substitutable condition - the count increases by 1 for every row that matches the rule.whenA Substitutable condition - the count increases by 1 for every the the rule becomes 'true'

Creating Classifier AI Training Data

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Creating Classifier AI Training Data Our Goal We'd like to create a machine learning model that can tell us when a particular type of asset is in or approaching some specific states that we'd like to avoid. To do this, we'll need training data, and we can use

Creating Time-Series AI Training Data

anonymous@undisclosed.example.com (Anonymous) — Fri, 20 Feb 2026 04:57:55 +0000

Creating Time-Series AI Training Data Our Goal In Creating a Classifier AI, we built up some training data that looked for the instantaneous status of a machine. It looks for a specific combination of sensor values that indicated that a machine was in a particular state.

Daily Production Example

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Daily Production Example Our Goal The goal is to have daily average figures, such as summaries for how much product was produced in each 24 hour period. Plan To do this, we will need a few steps. ---------- 1) Get the days our analytic will cover.

Daily Operational Timing Example

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Daily Operational Timing Example Our Goal The goal is to have daily totals available for how much time has been spent with the machine running vs stopped. For our purposes, 'running' is when the machine is both on and has a speed greater than 0. Plan

Validating Match Scores

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Validating Match Scores If you are getting unexpected matches when fuzzy matching, it might be because of a balance issue with scoring. It's very common to have to tune your scores over time as you encounter new situations and find the right balance between all of your different scoring criteria.

Default

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Default Sets default values for frame attributes. Parameters NameDefaultMeaningvaluesA list of attribute namesvalue0A value to capture if no value exists. Description This layer is usually used at the beginning or at the end of a Layered Frame Analytic to fill in any default values for attributes that couldn't be captured.

De-Lag

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

De-Lag This layer calculates the amount of time taken for a total amount to be counted based on a rate. Parameters NameDefaultMeaningrateThe rate property (in Asset.Property format)timebase1The number of seconds per unit measurementtarget60Total amount of flow/distance/use (substitutable)

Diagrams

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Diagrams You can add diagrams to your pages to display key pieces of information in a user-friendly fashion. These diagrams will appear on both Capture and AI Result pages. Creating Use Inkscape, Adobe Illustrator or even a text editor to create an SVG file containing

Downloading Capture Data

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Downloading Capture Data Accessed from the capture list, the Download option allows you to download your captured data. By default, this is in CSV format, allowing you to easily import the data into a range of tools such as Microsoft Excel.

Example Stacks

anonymous@undisclosed.example.com (Anonymous) — Fri, 20 Feb 2026 04:52:41 +0000

Example Stacks Below you will find some examples of working analytic stacks. Complete Examples Daily Production Figures Daily Machine Running Times Daily Per-Product Totals Per-Batch Machine Setup Per-Batch Machine Setup with Inspection Results Modelling a Virtual Sensor Creating a Classifier AI Creating a Time Series AI Specific Scenarios Calculating an Average Calculating a Total

Attribute Explosion

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Attribute Explosion Attribute Explosion is an optional feature of the Capture system. It lets you pass a set of parameters through your capture steps, performing any lookups if you've provided a matching key parameter value. Example Let's say you have a table containing information about the different products you make. It looks a little bit like the example below

Exponential

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Exponential Most fuzzy matching scores are linear - the penalty for being different by 1 unit is 1, by 2 units is 2 etc. However, some penalties can be set to be exponential, meaning the difference is squared. In these cases, a difference of 1 will still be 1, but a difference of 2 will have a score penalty of 4, a difference of 3 will have a penalty of 9, and so on.

External Capture Data

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

External Capture Data Internally, the Capture system makes a single JSON file for every capture record. Like other ARDI addons, this basic structure helps with backups and replication, making it very easy to copy, restore or modify existing data.

Filter

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Filter Deletes frames and table rows based on filter conditions. Parameters NameDefaultMeaningkeepRemove all timeframes or rows unless this condition is trueremoveRemove all timeframes or rows where this condition is true Description This layer is generally used to remove time, rows and timeframes that don't match specific conditions - for example, when a machine is stopped.

Flatten

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Flatten Converts the columns of a table into the attributes of a frame. This deletes the table. Parameters NameDefaultMeaningmethodA method namecolumnsAn array of column names (used only for stable and stablenz)toleranceAn array of floating-point tolerance levels (used only for

Frame Looping / Splitting

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Frame Looping / Splitting There are times when you might want to capture details about multiple events that occur in a single day. For example, you might want to capture some key analytics all of the individual batches based on batch number. If you have built up a table of

Frames

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Frames A frame represents a single period of time. This might be a day, shift, event, product run, batch or even a single moment. A frame has a start time, an end time (which might be the same as the start time), and may have a number of attributes that provide information about that period.

Framesets

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Framesets A frameset is a collection of frames. Although layered frame analytics begins with a single time-frame, it can rapidly become more complex. Functions such as timeframes can be used to break a single frame into several.

Framesets

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Fuzzy Searching

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Fuzzy Searching Fuzzy Searching is a type of search which can be used to find close matches in situations where finding an exact match is unlikely. For example, this is often used when trying to set up a production line for a specific type of product - you might want to search for a previous setup for a similar product.

Fuzzy Matching

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Fuzzy Matching Fuzzy Matching is used when you want to search your captures for the closest match across several different properties. Because perfect matches are unlikely in real-world scenarios, the fuzzy matching system instead produces a score for each possible match and selects the capture with the lowest overall score.

Get API Data

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Get API Data This layer loads a table from an API endpoint. Parameters NameDefaultMeaningurlResource URLformatjsonJSON or CSV Description This function loads a table of data from an API endpoint. The API endpoint must return data in CSV, tab-delimited or JSON format.

Get Days

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Get Days This layer loads a frameset based on calendar days. This is useful for breaking up workloads over large time-frames, and also for capturing daily metrics with fixed time windows (such as 6AM-6AM). Parameters NameDefaultMeaningupto07:00Day Start Time

Get Events

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Get Events This layer loads a frameset from ARDI event data. Parameters NameDefaultMeaningsourceARDI event sourcetrimfalseIf true, trims excess times to fit all events in the frame Description This function loads a set of frames, each of which represents an event from the ARDI server.

Get Query

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Get Query This layer loads table from an AQL query. Parameters NameDefaultMeaningqueryAn AQL querypointsA list of ARDI point selectorssamples1000The number of samples in the query Description This function loads a table of information from an AQL query or a set of ARDI points.

Get Uploaded Data

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Get Uploaded Data This layer loads a frameset from a CSV file that the user uploads. Adding this layer to an analytic will make the 'Upload Measurement(s)' button appear in the list of captures. Parameters NameDefaultMeaningcolumnsA list of required column names

GroupFrames

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

GroupFrames Renames or groups frames that have common attributes. Parameters NameDefaultMeaningcolumnThe attribute name to group the timeframes byasThe updated name to be usedvaluesThe values that must be matched in order to be renamed Description

Hiding Captures

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Hiding Captures Not every shift, day or production run is ideal. Sometimes, a particular capture is simply unusual. For example, you needed to run your process in a unique way to cater for scheduling, staff or supply factors. The Capture addon allows you to

Layers By Name

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Layers By Name calc combineframes flatten filter get_api get_days get_events get_query get_upload groupframes lookup lookup_event reject reset t2t timeframes timesummary valuesummary

Layered Frame Analytics

anonymous@undisclosed.example.com (Anonymous) — Thu, 19 Feb 2026 03:18:26 +0000

Layered Frame Analytics Layered Frame Analytics is a method of capturing important values (such as KPIs or performance indicators) from complex data, without the need to use code or complex loops. Although this system isn't going to be able to do all

Creating an AI

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Creating an AI This will walk you through the steps of preparing your system to build an AI model. Installing Python First, install Python. On Debian/Ubuntu systems, Python is usually pre-installed. However, if it isn't you should type the following

Lookup Event

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Lookup Event Gets data from an event and adds it to a frame. Parameters NameDefaultMeaningsourceThe name of the event sourceprefixA prefix to be added to lookup value namessuffixA suffix to be added to lookup value namewhereIf present, this condition must be met for the lookup to happen

Lookup

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Lookup Gets data from a lookup table and adds it to frames. Parameters NameDefaultMeaningformatThe format of the table (JSON or CSV)prefixA prefix to be added to lookup value namessufffixA suffix to be added to lookup value namekeyThe name of the frame attribute used to in the lookup

Overriding Values

anonymous@undisclosed.example.com (Anonymous) — Thu, 08 Jan 2026 23:19:07 +0000

Overriding Values Data quality isn't always perfect. There are times - particularly when you're working with processes that involve one or more human steps - that data has bad timing or is simply incorrect due to factors you can't compensate for.

Production Production Example

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Production Production Example Our Goal The goal is to have daily summaries showing how much of each individual product was produced. Plan To do this, we will need a few steps. ---------- 1) Get the days our analytic will cover. 2) Get the history of the production during that day.

Reject

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Reject This Capture layer rejects or hides the current frame if certain conditions are met. A rejected frame is not stored in the database. A hidden frame is stored, but is marked as 'hidden' so it will not be included in downloads. Parameters NameDefault

Rename

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Rename This layer is used to change the name of one or more captured data points using regular expressions. Parameters NameDefaultMeaningfromThe text to search forexpressionOptional expression-based text to search fortoThe resulting text Description

Reset

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Reset This deletes any tables of data. Parameters None Description This layer is normally used to remove any data remaining in a table before performing another query. It's most often used when valuesummary rather than flatten rules are part of the stack, to prevent the capture system from looping.

Triggering a Capture

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Triggering a Capture The job of actually capturing the data is known as a capture run. You can set these up to run automatically - see Setup Routine Updates for instructions. You can also run them manually by calling the RUN API endpoint. By default, this will capture data for the previous 24 hours.

Samples

anonymous@undisclosed.example.com (Anonymous) — Fri, 20 Feb 2026 04:30:09 +0000

Samples Captures table values over time into attributes of the timeframe. This is used to capture a sequence of values that happen over time in a clear, consistent order. For example, you can choose to sample a table of Temperature values every 5 seconds for 30 seconds. This will create 6 attributes in your final Capture, named

Capturing Data Daily or On Schedule

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Capturing Data Daily or On Schedule To setup routine captures, you can use the ARDI Task Scheduler addon. This will allow you to pick a time of day (or many times in your day) to capture specific insights. We suggest avoiding running too many of your analytics simultaneously to avoid excessive server load - spacing out your capture jobs so that they are scattered across the day is much more efficient than running them all at once.

Splitting

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Splitting A layered analytic can split when it uses data-gathering functions (such as get_query) when there is more than one frame available. For example, you might have used the get_events layer to load a set of three events - the Morning, Day and Night shifts. When you then use

Layer Types

anonymous@undisclosed.example.com (Anonymous) — Fri, 20 Feb 2026 02:58:10 +0000

Layer Types You can also search for layer types based on an by name. Query Layers Query layers are used to introduce new data, such as tables and framesets. get_api - Load a table of data from a JSON or CSV REST endpoint get_days - Load a frameset based on a 24 hour period get_events - Load a

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

{ "type": "get_query", "query": "query" } { "type": "get_events", "source": "sourcename" } { "type": "get_day", "upto": "07:00" } { "type": "lookup_event", "source": "sourcename", "key": "localkey", "rkey": "remotekey", "prefix": "", "suffix": "", "startbuffer": 0, "endbuffer" : 0 } { "type": "api_call", "url": "" } { "type": "lookup", "key": "localkey", "rkey": "remotekey", "prefix": "", "suffix": "", "format": "json", "url": "" } { "type": "timeframes", "condition": "c…

File Structure

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

File Structure Each different capture type is defined in a JSON file. These files are stored in your ARDI site folder, inside folders located in the capture directory. If you were creating a capture type called 'Batch Summary' on an ARDI site called 'default' installed into

Substitutable Strings

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Substitutable Strings Many parts of the Capture system allow you to replace text with the value of an attribute within your capture. These will take any text in curly braces (between the '{' and '}' symbols), search for an attribute that matches that name, and replace the whole thing with the value of that attribute.

Substitutions

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Substitutions It is possible to use data from your frame in certain layer properties. For example, the query in the get_query layer, or the URL in the get_api function. To substitute frame values, use curly brace ({ and }) symbols, along with the name of the attribute you want to add.

T2T (Trigger-To-Trigger)

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

T2T (Trigger-To-Trigger) Searches the table for particular conditions ('triggers') to be met, making time-frames out of the spaces between them. This layer deletes the table. Parameters NameDefaultMeaningaThe condition for the start triggerbThe condition for the end trigger. If not provided, 'a' is used.

Tables

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Tables A frame can contain a table of data. Tables usually are read from the get_query or get_api function. Tables are expected to have at least one column named 'Time'. This is usually the first column of the table. Layers You can use several layers on tables - the following are the most common

Capture List

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Capture List The Capture List is where you can browse all of the captures of a given type - for example, you'll be able to see every day in a daily capture or every batch if capturing batch information. [600] Viewing Capture Details In most cases, the table will only include a few key figures - if you want to read detail, you'll need to click on the bold text on the left-hand-side of the table.

TimeCalc

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

TimeCalc Performs a calculation on times either a frame or the table items inside the frame. Parameters NameDefaultMeaningnameThe name of the final attribute/columnamount100The amount to be changed by. Substitutable.methodAddadd, sub or percstartStartTimeThe start/base date to work from

Timeframes (By Condition)

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Timeframes (By Condition) This layer converts a table into a set of frames. Parameters NameDefaultMeaningconditionAn expression to be matchedinsideinsideThe name for times where the expression is trueoutsideThe name for times where the expression is false Description

Timeframes (By Value)

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Timeframes (By Value) This layer converts a table into a set of frames. Parameters NameDefaultMeaningsplitThe column name to split on Description When specifying a split, this layer creates frames for each different time-span spent at a particular value. For example, if you had a table column named 'mode' which varied between 'Auto','Manual','Off','Error' and 'Bypass', this would break your existing frame into distinct times when the machine was in each of these modes.

Timeframes

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Timeframes This layer converts a table into a set of frames. You can use this layer two different ways - splitting a condition by condition or by value.

TimeSummary

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

TimeSummary Summarise the amount of time spent in different states. Parameters NameDefaultMeaninginsideThe word used to describe the amount of time spent inside the current timeframesoutsideThe word used to describe the time not within the current timeframes

Trim

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Trim Trims any start and end times outside the range of the frame. Parameters No Parameters Description This function filters each item in the list, trimming the StartTime and EndTime columns in the table to fit within the frame time. This function is often used after loading times from events or an

Capture

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Capture The Capture addon is designed to help you collect, access and analyse information about different time periods and events. It is accessed from the ARDI sidebar, under Captured Values. Capture Types A single ARDI system might have several different

ValueSummary

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

ValueSummary Captures key values from a table into the frame. Parameters NameDefaultMeaningmethodavgavg, max, min or totalcolumnsRestrict the summary to only specific columnsprefixText to add before the name of each valuesuffixText to add after the name of each value

Virtual Sensor Modelling

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Virtual Sensor Modelling Our Goal We'd like to create a Virtual Sensor for a measurement we're currently taking by hand. Plan To do this, we will need a few steps. ---------- 1) Record the manual measurements, along with the precise time they were taken,

Capture

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Capture ARDIs Capture addon is designed to help you collect and analyse information about events and periods of time across your data. This can include... * Daily Summaries and KPIs, * Shift / Crew / Operator Analytics, * Product / Recipe Analytics,

Why Use Capture?

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Why Use Capture? While the tools and user interface give a good argument for why you'd want to use capture as a user, what's the advantage to the ARDI administrator or data analyst? Fast Development Many of the computations that the Capture addon performs can be time-consuming to build if you're making your own custom analytics. What might take an analyst several hours to write the logic for can be performed in just a few minutes using Capture - and all of the data storage, scheduled recordin…

Creating an AI (Windows)

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Creating an AI (Windows) This will walk you through the steps of preparing your system to build an AI model. Installing Python First, install Python. Ideally, you should match the Python version being used on your ARDI server. On Windows systems, we often suggest using the

Working with Multiple Frames

anonymous@undisclosed.example.com (Anonymous) — Thu, 19 Feb 2026 03:29:50 +0000

Working with Multiple Frames One of the more interesting parts of Layered Frame Analytics is that it can break up your frames and loop over them. For example, you can start with a frame that represents your entire 24 hour day. Then you can split that day up into the