Chapter
3
Operating Instructions
Laser measurement sensor LD-MRS
48
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SICK AG · Germany · All rights reserved · Subject to change without notice
8012948/ZMQ0/2017-06-09
Product description
3.8.1
Evaluation instances
An evaluation instance determines which evaluation field is evaluated in which way (evalu-
ation strategy), and which logical output it affects. Up to 16 evaluation instances can be con-
figured, and all configured and evaluation instances are simultaneously active.
The following is specified with SOPAS-ET for each evaluation instance:
•
Logical inputs that (specifically) activate the evaluation instance
•
Associated evaluation field to be monitored
•
Evaluation strategy per evaluation field
•
Logical output that is affected by the evaluation instance
•
Response time of the logical output
•
Manipulation protection per evaluation field
•
Reset behavior of an activated output
Logical inputs
If the evaluation instance is not to be continuously active, an input combination can be con-
figured that activates the evaluation instance.
Important
A combination of inputs can also be defined for several evaluation instances. In this case
(for example), two evaluation instances are active simultaneously.
Evaluation strategy for evaluation field
The LD-MRS offers three different evaluation strategies:
•
Pixel evaluation
The LD-MRS evaluates the entire area of the field; each beam is used for evaluation. If
an object enters the field, this event is transmitted to the appropriate output.
•
Hiding
The LD-MRS evaluates the entire area of the field. Objects up to a certain size can be
hidden. An object is only identified when it is larger than the configured hidden size.
•
Contour
The LD-MRS evaluates the presence of a contour that is supposed to be continuously
and completely in the evaluation field. This allows the LD-MRS to determine that for ex-
ample a door is opening outward, or that the position of the LD-MRS is changing. In ad-
dition, the entrance of a vertical evaluation field or the deflection of the laser beam with
a mirror can be identified.
By using the hiding function, the absence of a part the contour can be hidden up to a
certain size.
Input 1
Input 2
Evaluation instance
Active high
Active high
Evaluation instance 1
Active high
Active low
Evaluation instance 2
Active low
Active high
Evaluation instance 3
Active low
Active low
Evaluation instance 4
Tab. 3-10: Example of a combination of inputs