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AN-000349

 

 

Document Number: AN-000349

 

Page 3 of 23

 

Revision: 1.0 

 

1

 

INTRODUCTION 

This guide will explain the software and hardware setup of the floor type detection and cliff detection for robotic vacuum applications 
using two CH101 or ICU-10201 sensors. Floor type detection is the differentiation between hard floors (hardwood, tile, etc) and soft 
floors (carpets). Cliff detection is the detection of a cliff, such as an overhanging ledge, stairs, or other similar risk to a Robotic Vacuum 
Cleaner (RVC). 

For clarity and simplicity, unless otherwise specified, any information referring to the CH101 in this document will also apply to the 
ICU-10201. 

 

1.1

 

SCOPE 

 

This document  will help users set up and run the Cliff and Floor Type Detection Demo and be able to see the correct output and 
behavior from the CH101 sensors. This document solely covers the application of using two CH101 sensors to detect both cliff and 
floor types. For applications where only floor type detection is needed, refer to AN-000240.  

For the cliff and floor type detection algorithms to work properly, the sensors require a specific Acoustic Interface design. The Acoustic 
Interface tunes the sen

sor’s behavior for optimal performance for this application. Users should first implement the reference Acoustic 

Interface design highlighted in this document as it is optimized for the default settings in the software algorithms. Custom  acoustic 
designs will require experimentation from the user and are outside the scope of this document. 

 

1.2

 

THEORY OF OPERATION 

 

The CH101 is an ultrasonic Time-of-Flight (ToF) transceiver that measures the distance of an object based on how long it takes for 
ultrasound  transmitted  from  the  sensor  to  be  reflected  back  and  received  by  the  sensor.  There  is  a  certain  amount  of  time  after 
transmission for the sensor to stop vibrating (ringdown) from the transmit pulse before it can accurately receive the reflected ToF 
signal. To get around the ringdown issue while operating only a few centimeters from the floor, a second sensor is used as a dedicated 
receiver and the two sensors operate in Pitch-Catch mode. In this mode, the receiving sensor does not have to deal with the ringdown 

issue and it’s

 time constraints. 

 

Figure 1. Diagram showing operating principle of the two-sensors in Pitch-Catch for this cliff and floor type detection application.

 

Different  surfaces  (floor  types)  will  produce  different  amplitude  reflections,  with  soft  floors  reflecting  less  and  producing  a  lower 
amplitude echo, while hard surfaces will produce a higher amplitude echo. The ToF of this echo also indicates how far away the sensor 

is from the floor. When the ultrasound echo’s ToF is longer than 

a specified time duration, it means that there is a large gap between 

the sensor and the floor, thus indicating there is a cliff in front of the sensor.

 

Содержание CH101

Страница 1: ...mation herein without notice Chirp Microsystems 2560 Ninth Street Ste 200 Berkeley CA 94710 U S A 1 510 640 8155 www chirpmicro com Document Number AN 000349 Revision 1 0 Release Date 02 16 2022 Appli...

Страница 2: ...OF REQUIRED HARDWARE 5 2 2 ACOUSTIC INTERFACE 5 2 3 MECHANICAL AND MODULE SETUP 6 2 4 SMARTSONIC AND DAUGHTERBOARD 7 2 4 1 Smartsonic Connections to Run the Cliff and Floor Detect Demo Software 7 2 5...

Страница 3: ...ument as it is optimized for the default settings in the software algorithms Custom acoustic designs will require experimentation from the user and are outside the scope of this document 1 2 THEORY OF...

Страница 4: ...cliff and floor type detection in your device Overview of the CH101 ultrasonic ToF sensor product o Link invensense tdk com products ch101 o Includes Application Note documentation and product specif...

Страница 5: ...sor cliff detection reference design utilizes a carefully designed Acoustic Interface to achieve optimal performance Dimensions tolerances and assembly requirements for the Acoustic Interface are prov...

Страница 6: ...UP The floor type and cliff detection algorithm are tuned and expect the sensor to be placed and orientated in a specific position for optimal performance The recommended design places the bottom on t...

Страница 7: ...CH101 sensor module Repeat this for the Sensor 1 connector and the second CH101 sensor module The blue LED next to each connector will light up if connected correctly see Figure 6 If an LED does not l...

Страница 8: ...AN 000349 Document Number AN 000349 Page 8 of 23 Revision 1 0 Figure 6 Example of SmartSonic module connection Note cable orientation may differ depending on your particular cable s construction...

Страница 9: ...nt you need to reflash the firmware or flash a different firmware the steps to do this are 1 Power off the board by unplugging the micro USB cable 2 Move the power selection jumper to bridge the EDBG...

Страница 10: ...out the sensor configuration o The algorithm output data will be saved in the subfolder algo cliff_detection_emd in csv format o For cliff detect data the data format is timestamp algorithm type tx se...

Страница 11: ...of the received signal Cliff Depth Estimate Shows the cliff depth estimate over time To obtain the cliff depth the sensor height needs to be subtracted when the sensor is above the floor Floor Type M...

Страница 12: ...directly down at the floor is 0 degrees Default value is 15 degrees Range of permitted values is 0 45 For best algorithm performance all physical input measurements should be accurate to 1 mm or 1 deg...

Страница 13: ...orithm s calculated metric for the amplitude of the floor s return echo over time If the RVC is transitioning between hard and soft floors the metric s displayed value will correspondingly change alon...

Страница 14: ...ble to see the signal with ODR set to 10ms Cliff or floor performance is not good Verify the physical dimensions of the mechanical device settings The parameters need to be accurate by 1mm or 1 degree...

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Страница 23: ...n the infringement of patents copyrights mask work and or other intellectual property rights Certain intellectual property owned by Chirp Microsystems and described in this document is patent protecte...

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