Operating Instructions
LMS1xx Laser Measurement Sensors
Product description
8012471/ZN27/2017-06-09
© SICK AG · Germany · All rights reserved · Subject to change without notice
35
Chapter
3
Hardware blanking window
With a blanking window the LMS1xx only supplies measured values from a configured
distance. An area in front of the LMS1xx is therefore completely blanked. You can configure
a blanking window from 1 to 15 m.
Important
A
hardware blanking window affects the evaluation fields for the field application
(see
section 3.9.2 “Evaluation fields” on page 44
Field evaluation is not possible in the area of the blanking window configured.
Field evaluation is not possible reliably up to 1 m in front of the blanking window
configured.
Field evaluation is possible reliably from 2 m in front of the blanking window configured.
Fig. 20:
Effect of the hardware blanking window on the evaluation fields for the field application
Echo filter
If two pulses are reflected by two objects during a measurement (drops of rain or edges
etc.), the filter initially filters out the first reflected pulse (echo) (see
“Measured value output for a second reflected pulse” on page 38
).
Particle filter
The particle filter can be used in dusty surroundings or in case of rain or snow to filter out
interference due to particles of dust, rain drops, snow flakes etc.
Important
Due to the particle filter, the reaction to an object in the evaluation field or an infringement
of the contour is delayed by the time for a scan. The response time set for the pixel evalu-
ation, blanking and contour evaluation strategies is not changed as a result.
Mean filter
The mean filter acts on the measured value output, not on the field application. If the mean
filter is active, the mean is formed from the configured number of scans and then output.
The mean filter reduces the scan data output (not a smoothing mean).
Evaluation field
Up to 1 m in front of the blanking
window:
field evaluation not reliable
Blanking window:
no measured values,
no field evaluation
From 2 m:
field evaluation reliable
