IEC 63364-1:2022

IEC 63364-1
®

Edition 1.0 2022-12
INTERNATIONAL
STANDARD
NORME
INTERNATIONALE


Semiconductor devices – Semiconductor devices for IoT system –
Part 1: Test method of sound variation detection

Dispositifs à semiconducteurs – Dispositifs à semiconducteurs pour système
IDO –
Partie 1: Méthode d’essai de détection de variation acoustique

IEC 63364-1:2022-12(en-fr)

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IEC 63364-1

®


Edition 1.0 2022-12




INTERNATIONAL



STANDARD




NORME


INTERNATIONALE











Semiconductor devices – Semiconductor devices for IoT system –

Part 1: Test method of sound variation detection



Dispositifs à semiconducteurs – Dispositifs à semiconducteurs pour système

IDO –

Partie 1: Méthode d’essai de détection de variation acoustique















INTERNATIONAL

ELECTROTECHNICAL

COMMISSION


COMMISSION

ELECTROTECHNIQUE


INTERNATIONALE




ICS 31.080.99 ISBN 978-2-8322-6214-6



Warning! Make sure that you obtained this publication from an authorized distributor.

Attention! Veuillez vous assurer que vous avez obtenu cette publication via un distributeur agréé.

® Registered trademark of the International Electrotechnical Commission
Marque déposée de la Commission Electrotechnique Internationale

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– 2 – IEC 63364-1:2022 © IEC 2022
CONTENTS
FOREWORD . 3
1 Scope . 5
2 Normative references . 5
3 Terms and definitions . 5
4 Evaluation method and test setup . 6
4.1 General . 6
4.2 Equipment and tools . 7
4.3 Block diagram and semiconductor components . 7
4.3.1 General . 7
4.3.2 Microphone sensor . 8
4.3.3 Speaker . 8
4.3.4 Micro controller . 8
4.3.5 Transmitting module . 8
4.4 Test methods . 8
4.4.1 Cubic box . 8
4.4.2 Measurement and data analysis . 10
4.4.3 Evaluation method for the parts of sound variation detection system for
IoT-based sound field detection . 11
4.5 Test report . 12

Figure 1 – Sound field space with boundary conditions and governing equation . 6
Figure 2 – Variation of transfer function due to obstacles in security area . 7
Figure 3 – Block diagram of the sound variation detection system for IoT-based event
detection . 8
Figure 4 – Cubic box for experiment for sound field variation detection system . 9
Figure 5 – Inner configuration within a cubic box . 9
Figure 6 – Experimental SPL spectra in the 3 744 Hz – 4 256 Hz range with 4 Hz steps
in the cube . 10
Figure 7 – FEM simulation of SPL spectra in the 3 744 Hz – 4 256 Hz range with 4 Hz
steps in the cube . 11

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IEC 63364-1:2022 © IEC 2022 – 3 –
INTERNATIONAL ELECTROTECHNICAL COMMISSION
____________

SEMICONDUCTOR DEVICES –
SEMICONDUCTOR DEVICES FOR IOT SYSTEM –

Part 1: Test method of sound variation detection

FOREWORD
1) The International Electrotechnical Commission (IEC) is a worldwide organization for standardization comprising
all national electrotechnical committees (IEC National Committees). The object of IEC is to promote international
co-operation on all questions concerning standardization in the electrical and electronic fields. To this end and
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rights. IEC shall not be held responsible for identifying any or all such patent rights.
IEC 63364-1 has been prepared by IEC technical committee 47: Semiconductor devices. It is
an International Standard.
The text of this International Standard is based on the following documents:
Draft Report on voting
47/2782/FDIS 47/2792/RVD

Full information on the voting for its approval can be found in the report on voting indicated in
the above table.
The language used for the development of this International Standard is English.

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– 4 – IEC 63364-1:2022 © IEC 2022
This document was drafted in accordance with ISO/IEC Directives, Part 2, and developed in
accordance with ISO/IEC Directives, Part 1 and ISO/IEC Directives, IEC Supplement, available
at www.iec.ch/members_experts/refdocs. The main document types developed by IEC are
described in greater detail at www.iec.ch/publications.
A list of all parts in the IEC 63364 series, published under the general title Semiconductor
devices – Semiconductor devices for IoT system, can be found on the IEC website.
The committee has decided that the contents of this document will remain unchanged until the
stability date indicated on the IEC website under webstore.iec.ch in the data related to the
specific document. At this date, the document will be
• reconfirmed,
• withdrawn,
• replaced by a revised edition, or
• amended.

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IEC 63364-1:2022 © IEC 2022 – 5 –
SEMICONDUCTOR DEVICES –
SEMICONDUCTOR DEVICES FOR IOT SYSTEM –

Part 1: Test method of sound variation detection



1 Scope
This part of IEC 63364 specifies terms, the test method, and the report of sound variation
detection system based on IoT. It provides the evaluation method for each part of the sound
variation detection system based on IoT in the block diagram, the characterization parameters,
symbols, test setups and the conditions. In addition, this document defines the configuration
items and criteria of standard space and firing situation for the quality evaluation measurement
of sound field variation detection system with IoT.
2 Normative references
There are no normative references in this document.
3 Terms and definitions
For the purposes of this document, the following terms and definitions apply.
ISO and IEC maintain terminology databases for use in standardization at the following
addresses:
• IEC Electropedia: available at https://www.electropedia.org/
• ISO Online browsing platform: available at https://www.iso.org/obp
3.1
transfer function
response characteristics function of sound pressure which transfers to microphone in the
securing sound space
3.2
standard space
securing sound space which is controlled and frequency pre-scanned for the occurrence of
event
3.3
SNR
signal to noise ratio value which is defined by the ratio of the value of event occurred and
without the event
3.4
frequency shift index
characteristic frequency shift value for the event occurred

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4 Evaluation method and test setup
4.1 General
Changing sound field composed of low-cost speaker and microphone in the sensor module, a
sound field is generated by the speaker in the standard space. The extent to which the
generated sound field is distorted by firing objects is measured and detected with a microphone,
in a dark environment. The extent is about the primary space when events are monitored. In
this securing space, the modelling is described by the governing equation of acoustic wave
propagation and boundary conditions of wave source, speed and wave pressure. In order to
make a sound field, the speaker should generate the 4 kHz wave. Figure 1 shows a sound field
sphere,
where
P is the pressure of the sound;
S is the sound velocity boundary;
u
S is the sound pressure boundary;
p
U is the velocity of the sound.

Figure 1 – Sound field space with boundary conditions and governing equation

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IEC 63364-1:2022 © IEC 2022 – 7 –
4.2 Equipment and tools
The equipment for a sound variation detection system requires a set of speaker and microphone
which are placed on each corner of the securing space. An event is located at the arbitrary
position as shown in Figure 2 a). The multi-tone sound source is composed of 17 sine waves
around a central frequency of 4 kHz with an interval. The sound pressure data are acquired by
a data acquisition module, and the data are processed simultaneously. A sound signal with a
0,5 s duration is measured and 25 600 sampling data are used to obtain the sound pressure
level data with a sampling frequency of 51 200 Hz. In addition, the frequency resolution is 2 Hz
for the FFT spectra. The sound pressure level spectra are measured at multi-tone frequencies
of 17 channels ranging from 3 968 to 4 032 Hz with a frequency step of 4 Hz. The sound
pressure level in the position of the distance of 10 cm from the front of a speaker is set to be
94 dB by controlling the volume of the speaker. The sound pressure level for the multi-tone
frequencies is measured within a time interval of 0,5 min after the event source such as sound,
temperature has occurred.
A speaker and a microphone are used to measure the transfer function of the given space.
Where
H is the transfer function;
P is the sound pressure of the microphone;
q is the sound pressure of the speaker.


a) Without intrusion b) With intrusion (fire)

Figure 2 – Variation of transfer function due to obstacles in security area
4.3 Block diagram and semiconductor components
4.3.1 General
The sound detection system using sound variation field is consisted with detection sensor,
sound source, and the electric circuit with microcontroller and DSP (Digital Signal Processing)
unit. Figure 3 shows a block diagram for sound variation detection system for IoT-based sound
variation detection. The detection system should be tested for the uniformity of the sound source
and fluctuation of the sound waves, the sensitivity of the sound detection sensors, date
exchange rate between amplifier to DSP unit.

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– 8 – IEC 63364-1:2022 © IEC 2022

Figure 3 – Block diagram of the sound variation detection
system for IoT-based event detection
4.3.2 Microphone sensor
Sound field variation detection system is consisted of microphone sensors for the sound
variation detection. The 4 microphone sensors are required for a secured space such as closed
room at least in order to get dependable data.
4.3.3 Speaker
The role of the speaker is making uniform sound field. The sound field variation detection
system is surveilling the secure space by the change of the sound field. The speaker should
generate uniform sound field in the secure space.
4.3.4 Micro controller
In the sound variation detection system, the micro controller is needed to analyse the spectrum.
The sound pressure level (SPL) spectrum is fluctuated by frequency and shifted by event
occurring. The micro controller can analyse the range of SPL shift to confirm the event has
occurred or not.
4.3.5 Transmitting module
The transmitting module is required to monitor or to control the sound field variation detection
system at the outside of the secure space. The sound field variation detection system is used
on behalf of human watching. Therefore, the constant monitoring of secure space, the detection
system should communicate the signal to the surveillance server system. The transmitting
module sends the signal which is detected by the sound field variation detection system in the
secure space.
4.4 Test methods
4.4.1 Cubic box
In order to test the sound field variation detection system, a cubic box with a length of 60 cm is
used for a comparison with the simulation results. A gas lighter is used to simulate a
temperature changing event. A 6 W speaker with a diaphragm of 3,5 cm in diameter is installed
at the central hole of the left-side plane of the cube as shown in Figure 4.

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IEC 63364-1:2022 © IEC 2022 – 9 –

Figure 4 – Cubic box for experiment for sound field variation detection system
The detailed inner configuration used for the experiment is shown in Figure 5. The flame of the
gas lighter is positioned at (10 cm, −10 cm) from the centre within the middle square plane of
the cube. Two microphones are installed in the corners of the middle square plane and are
numbered from #1 to #2. Two thermometers are located 5 cm in front of the gas lighter and
near the bottom plate to measure simultaneously, as shown in Figure 5.

Figure 5 – Inner configuration within a cubic box

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4.4.2 Measurement and data analysis
The SPL spectra at microphones #1 and #2 are obtained using time intervals of 2 min after
turning on the gas lighter, and the experimental spectra after 10 min are compared with the
reference spectra before an event such as sound occurring or temperature changing, as shown
in Figure 6. The SPL spectra have an irregular peak and dip structures within the frequency
range of 3 744 Hz to 4 256 Hz, which seem to be due to the constructive and destructive sound
interference within the cube. It should be noted that the peak and dip structures move to a
higher frequency after the temperature changing event without a significant change in the
spectral pattern shape. The frequency shift index of the spectra can be explained with a wave-
length change owing to the changes in air temperature, as shown in Figure 7, and the amount
of frequency shift index is estimated based on changes in the air temperature within the entire
space. With a temperature change from 19,8 °C to 24,2 °C after 10 min of heating, the
frequency shifts are 15,6 Hz at 2 kHz. The change of the frequency shift index is described well
through the use of this mechanism.

a) mic. #1

b) mic. #2

NOTE The hollow circle with a dotted line is for before temperature changing and the solid circle with a solid line is
for after temperature changing.
Figure 6 – Experimental SPL spectra in the 3 744 Hz –
4 256 Hz range with 4 Hz steps in the cube

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IEC 63364-1:2022 © IEC 2022 – 11 –

a) mic. #1

b) mic. #2

NOTE The dotted line is for before temperature changing and the solid line is for after temperature changing.
Figure 7 – FEM simulation of SPL spectra in the 3 744 Hz –
4 256 Hz range with 4 Hz steps in the cube
4.4.3 Evaluation method for the parts of sound variation detection system for
IoT-based sound field detection
The sound field variation detection system is for detecting the change of the sound field. The
main elements of the system are the speaker and the microphone sensors. To generate the
uniform sound field, the speaker has good coherence. Before the evaluation, the coherence of
the speaker should be checked. The speaker can generate the minimum sound pressure of
94 dB in front of 10 cm of the speaker. The speaker also can generate the single frequency sine
wave and the multi-tone which is composed of linear combination of the sine wave. In case of
microphone sensors can detect the minimum 10 mV/Pa response characteristics. The
evaluation process is proceeded as follows:
1) To measure the transfer function, the frequency to be measured in audio frequency range
is swept and generate the sound field.
2) The generated sound field is measured by the microphone sensors and the measured signal
should be transferred to the micro controller module to be converted as a digital value.
3) The sound pressure level according to the frequency is to be processed by FFT (Fast Fourier
Transform) signal processing.
4) The response characteristic is measured from 0 Hz to 12,8 kHz in audio frequency range by
25 times and calculated the mean value.

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5) The frequency response change rate is measured by 7 times in 10 minutes without the event.
6) Calculate the mean value of the variation and set the value as noise level.
7) Turn on the event.
8) Scan the frequency response characteristics and the difference of the sound pressure level
at before and after event.
9) Take the value of the variation norm within +/- 128 Hz range and calculate the sound
variation value at the centre frequency as signal value.
10) To judge the event has occurred of not, the signal value which is measured 9) to noise level
and SNR are calculated.
4.5 Test report
The report shall include the following items:
a) the testing room specification; the width, the depth, and the height of the room by meter;
b) the date of test;
c) the atmospheric conditions of test; temperature (in Kelvin), humidity (in percentage), and
atmospheric pressure (in Pascal);
d) the speaker and microphones details; speaker coherence, noise type;
e) the sampling frequency and data acquisition conditions; frequency, sampling rate by hertz;
f) the events (temperature changing, sound occurring) details;
g) the events occurring ratio.

___________

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SOMMAIRE
AVANT-PROPOS . 15
1 Domaine d’application . 17
2 Références normatives . 17
3 Termes et définitions . 17
4 Méthode d’évaluation et montage d’essai . 18
4.1 Généralités . 18
4.2 Equipements et outils . 19
4.3 Schéma de principe et composants à semiconducteurs . 19
4.3.1 Généralités . 19
4.3.2 Capteur de microphone . 20
4.3.3 Enceinte . 20
4.3.4 Microcontrôleur . 20
4.3.5 Module d’émission . 20
4.4 Méthodes d’essai . 20
4.4.1 Boîte cubique . 20
4.4.2 Mesurage et analyse des données . 22
4.4.3 Méthode d’évaluation des parties du système de détection de variation
acoustique pour la détection de champ acoustique IDO . 23
4.5 Rapport d’essai . 24

Figure 1 – Espace de champ acoustique avec conditions aux limites et équation
principale . 18
Figure 2 – Variation de la fonction de transfert due aux obstacles présents dans la
zone de sécurité . 19
Figure 3 – Schéma de principe du système de détection de variation acoustique pour
la détection d’événements IDO . 20
Figure 4 – Boîte cubique pour une expérience avec un système de détection de
variation de champ acoustique . 21
Figure 5 – Configuration intérieure dans une boîte cubique . 21
Figure 6 – Spectres SPL expérimentaux dans la plage de 3 744 Hz à 4 256 Hz avec
pas de 4 Hz dans le cube .
...