Preliminary Preparation Phase - Omron NX Series User Manual

6 Startup Procedures for the AI Controller
6-2

Preliminary Preparation Phase

Use the following procedure for the Preliminary Preparation Phase.
Step
Step 1 Step 1-1
Determining Determining equip-
equipment ment events to moni-
events/varia- tor
bles to moni-
Step 1-2
tor
Analyzing cause of
equipment event
Step 2 Step 2-1
Preparing the Preparing the AI Con-
AI Controller troller
Step 3 Step 3-1
Downloading Setting variables to
user program use in AI functions to
and FTP serv- the user program
er function
settings from
the Sysmac
Studio
6-6
Determine equipment events to monitor.
An example of an equipment event is "To perform predictive maintenance for
¡¡ error in equipment".
Up to 128 equipment events can be registered in the AI Controller.
Analyze the parameters needed to determine equipment events and identify vari-
ables for the AI Controller.
For example, a sensor value or a servo speed is required to determine equip-
ment events.
Install devices (such as a sensor) used to determine equipment events if it is not
installed yet.
Specify the variables identified here as the variable data in the AI Controller in
Step 3-3.
Up to 16 variable data can be specified per equipment event.
•
Prepare the AI Controller and connect it to the computer where the Sysmac
Studio is installed.
For details on the AI Controller models, refer to Section 1 Overview and Fea-
tures on page 1-1.
•
For an NX-series AI Controller, make sure that an SD memory card is insert-
ed.
•
For an NY-series AI Controller, make sure that an expanded storage (SSD) is
inserted in drive bay A.
Set the following variables required to use AI functions in user programs.
Register them as global variables. (You can specify any variable name)
Refer to Section 3 Feature Value/Machine Learning Function on page 3-1 for
the explanation of each variable.
•
Frame variables
•
Variable data
•
Subframe variables
•
Feature extraction output frame variables
•
Machine learning output frame variables
Also, input values of frame variables, variable data, and subframe variables from
the user program.
Do not input feature extraction output frame variables and machine learning
output frame variables from the user program because the Feature Value/
Machine Learning Function of the AI Controller uses them.
NX/NY-series Artificial Intelligence Machine Automation Controller User's Manual (W594)
User tasks