WO2020034688A1 - 马达振动波的生成方法 - Google Patents

马达振动波的生成方法 Download PDF

Info

Publication number
WO2020034688A1
WO2020034688A1 PCT/CN2019/087697 CN2019087697W WO2020034688A1 WO 2020034688 A1 WO2020034688 A1 WO 2020034688A1 CN 2019087697 W CN2019087697 W CN 2019087697W WO 2020034688 A1 WO2020034688 A1 WO 2020034688A1
Authority
WO
WIPO (PCT)
Prior art keywords
motor
signal
generating
vibration
vibration wave
Prior art date
Application number
PCT/CN2019/087697
Other languages
English (en)
French (fr)
Inventor
向征
邓瀚林
路翔
Original Assignee
瑞声声学科技(深圳)有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 瑞声声学科技(深圳)有限公司 filed Critical 瑞声声学科技(深圳)有限公司
Publication of WO2020034688A1 publication Critical patent/WO2020034688A1/zh

Links

Images

Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P25/00—Arrangements or methods for the control of AC motors characterised by the kind of AC motor or by structural details
    • H02P25/02—Arrangements or methods for the control of AC motors characterised by the kind of AC motor or by structural details characterised by the kind of motor
    • H02P25/06—Linear motors
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/08—Feature extraction
    • G06F2218/10—Feature extraction by analysing the shape of a waveform, e.g. extracting parameters relating to peaks
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H1/00—Measuring characteristics of vibrations in solids by using direct conduction to the detector
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B06—GENERATING OR TRANSMITTING MECHANICAL VIBRATIONS IN GENERAL
    • B06B—METHODS OR APPARATUS FOR GENERATING OR TRANSMITTING MECHANICAL VIBRATIONS OF INFRASONIC, SONIC, OR ULTRASONIC FREQUENCY, e.g. FOR PERFORMING MECHANICAL WORK IN GENERAL
    • B06B3/00—Methods or apparatus specially adapted for transmitting mechanical vibrations of infrasonic, sonic, or ultrasonic frequency
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
    • G01P15/00—Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B6/00—Tactile signalling systems, e.g. personal calling systems
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P25/00—Arrangements or methods for the control of AC motors characterised by the kind of AC motor or by structural details
    • H02P25/02—Arrangements or methods for the control of AC motors characterised by the kind of AC motor or by structural details characterised by the kind of motor
    • H02P25/032—Reciprocating, oscillating or vibrating motors
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/02—Preprocessing
    • G06F2218/04—Denoising
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P2209/00—Indexing scheme relating to controlling arrangements characterised by the waveform of the supplied voltage or current
    • H02P2209/13—Different type of waveforms depending on the mode of operation

Definitions

  • the invention relates to the field of micro-electromechanical technology, and in particular, to a method for generating a vibration wave of a motor.
  • the invention provides a method for generating a vibration wave of a motor, which can automatically generate a vibration wave of a motor, and conveniently extract and obtain a desired vibration waveform.
  • the present invention provides a method for generating a motor vibration wave, including the following steps:
  • Step S1 Excite the motor by a white noise signal, and measure the vibration signal of the motor by an acceleration sensor;
  • Step S2 Obtain the impulse response of the system through the vibration signal acquired by the acceleration sensor;
  • Step S3 construct a desired vibration waveform
  • Step S4 performing Wiener inverse filtering on the vibration waveform obtained in step S3 to obtain a frequency domain signal
  • Step S5 Perform an inverse fast Fourier transform on the frequency domain signal obtained in step S4 to obtain an excitation signal in the time domain form.
  • the step S2 is to solve the impulse response h [n] of the system by solving the autocorrelation Rxx of the input noise signal and the cross-correlation Rxy of the input and output through the Wienerhof equation.
  • the step S3 is to draw a desired vibration waveform by dots or manually.
  • the unit duration of the desired vibration waveform is 5 ms to 15 ms.
  • the step S4 is to obtain an estimated value of the input f (x, y) of the degradation function H by solving the restoration function.
  • the frequency domain expression of the frequency domain signal is: Among them, * represents the signal conjugate, and P N (u, v) / P S (u, v) is the power ratio between noise and signal.
  • the P N (u, v) / P S (u, v) is a constant.
  • the present invention provides a method for generating a motor vibration wave including the following steps: Step S1: Excite the motor by a white noise signal, and measure the vibration signal of the motor by an acceleration sensor; Step S2: Obtain by an acceleration sensor Step S3: Construct a desired vibration waveform; Step S4: Perform Wiener inverse filtering on the vibration waveform obtained in Step S3 to obtain a frequency domain signal; Step S5: Quickly perform the frequency domain signal obtained in Step S4 The inverse Fourier transform obtains the excitation signal in the time domain form.
  • the method for generating a motor vibration wave provided by the present invention can be automatically generated, and it is convenient to extract and obtain a desired vibration waveform.
  • FIG. 1 is a flowchart of a method for generating a motor vibration wave according to the present invention
  • FIG. 2 is a schematic diagram of a Wiener inverse filtering method for generating a motor vibration wave according to the present invention.
  • the method for generating a motor vibration wave according to this embodiment is applied to a linear motor in a smart phone or a tablet computer, and the automatic motor waveform can be generated.
  • the method is simple and easy to extract.
  • the method for generating a motor vibration wave of the present invention includes the following steps:
  • Step S1 the white noise signal excites the motor: the motor is excited by the white noise signal, and the vibration signal of the motor is measured by the acceleration sensor;
  • Step S2 the motor system identification:
  • the impulse response h [n] of the system is solved by solving the autocorrelation Rxx of the input noise signal and the cross-correlation Rxy of the input and output.
  • the autocorrelation of the white noise is a pulse signal .
  • a desired vibration waveform is constructed: the desired vibration waveform is drawn by dots or manually, and preferably, the unit duration of the desired vibration waveform is 5 ms to 15 ms. Under such a unit time state, the constructed desired vibration waveform can achieve the best display effect.
  • Step S4 inverse Wiener filtering: perform inverse Wiener filtering on the vibration waveform obtained in step S3 to obtain a frequency-domain signal, that is, to obtain the estimated value of the input f (x, y) of the degradation function H by solving the restoration function
  • the frequency domain expression of the domain signal is: Among them, * represents the signal conjugate, P N (u, v) / P S (u, v) is the power ratio of noise and signal, specifically, the power ratio of noise and signal, P N (u, v) / P S (u, v) is constant.
  • Wiener inverse filtering is to obtain the estimated value of the input f (x, y) of the degradation function H by solving the restoration function, and consider g (x, y) as Is the desired amount of vibration.
  • the motor is regarded as a degradation function H, that is, an estimation of the excitation signal f (x, y) to obtain a frequency domain expression:
  • step S5 an excitation signal is generated: the frequency domain signal obtained in step S4 is subjected to an inverse fast Fourier transform (IFFT change, inverse fast Fourier transform) to obtain an excitation signal in the time domain form.
  • IFFT change inverse fast Fourier transform
  • the invention provides a method for generating a motor vibration wave, which includes the following steps: Step S1: Excite the motor by a white noise signal, and measure the vibration signal of the motor by an acceleration sensor; Step S2: Obtain a system pulse by using the vibration signal obtained by the acceleration sensor Response; step S3: construct the desired vibration waveform; step S4: perform Wiener inverse filtering on the vibration waveform obtained in step S3 to obtain a frequency domain signal; step S5: perform inverse fast Fourier transform on the frequency domain signal obtained in step S4 to obtain a time domain form The stimulus signal.
  • the method for generating a motor vibration wave provided by the present invention can be automatically generated, and it is convenient to extract and obtain a desired vibration waveform.

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Power Engineering (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Artificial Intelligence (AREA)
  • Signal Processing (AREA)
  • General Engineering & Computer Science (AREA)
  • Apparatuses For Generation Of Mechanical Vibrations (AREA)
  • Control Of Electric Motors In General (AREA)

Abstract

本发明提供了一种马达振动波的生成方法包括如下步骤：步骤S1：通过白噪声信号激励马达，并通过加速度传感器测量马达的振动信号；步骤S2：通过加速度传感器获取的振动信号得到系统的脉冲响应；步骤S3：构造期望振动波形；步骤S4：对步骤S3得到的振动波形进行维纳逆滤波得到频域信号；步骤S5：对步骤S4得到的频域信号进行快速傅立叶逆变换得到时域形式的激励信号。本发明提供的马达振动波的生成方法可以自动生成，且方便提取得到期望的振动波形。

Description

马达振动波的生成方法 技术领域
本发明涉及微机电领域，尤其涉及一种马达振动波的生成方法。
背景技术
近几年，线性谐振激励器(LRA)在智能手机、平板电脑等领域的应用越来越普及。这种激励器也称为马达，由于其对激励信号的响应快捷，容易实现更加优雅和舒适的触觉体验。很多时候，针对不同的应用场景，我们需要设计马达激励信号来得到期望的振动波形。但是现有技术对于马达振动波的提取很不方便。
因此，实有必要提供一种新的马达振动波的生成方法以解决上述问题。
发明内容
本发明提供一种马达振动波的生成方法，其可以自动生成马达的振动波，方便提取得到期望的振动波形。
为解决上述技术问题，本发明提供了一种马达振动波的生成方法，包括如下步骤：
步骤S1：通过白噪声信号激励马达，并通过加速度传感器测量马达的振动信号；
步骤S2：通过加速度传感器获取的振动信号得到系统的脉冲响应；
步骤S3：构造期望振动波形；
步骤S4：对步骤S3得到的振动波形进行维纳逆滤波得到频域信号；
步骤S5：对步骤S4得到的频域信号进行快速傅立叶逆变换得到时域形式的激励信号。
优选的，所述步骤S2为通过维纳霍夫方程，通过求解输入噪声信号的自相关Rxx和输入输出的互相关Rxy来求解系统的脉冲响应h[n]。
优选的，所述系统的脉冲响应为h[n]＝(1/sigma)*Rxy，其中sigma为白噪声的能量。
优选的，所述步骤S3为通过打点或者手工的方式绘制出期望振动波形。
优选的，所述期望振动波形的单位时长为5ms～15ms。
优选的，所述步骤S4为通过求解复原函数，得到退化函数H的输入f(x,y)的估计值。
优选的，所述频域信号的频域表达式为：
Figure PCTCN2019087697-appb-000001
其中，*表示信号共轭，P N(u,v)/P S(u,v)为噪声和信号的功率比。
优选的，所述P N(u,v)/P S(u,v)为常数。
相较于现有技术，本发明提供了一种马达振动波的生成方法包括如下步骤：步骤S1：通过白噪声信号激励马达，并通过加速度传感器测量马达的振动信号；步骤S2：通过加速度传感器获取的振动信号得到系统的脉冲响应；步骤S3：构造期望振动波形；步骤S4：对步骤S3得到的振动波形进行维纳逆滤波得到频域信号；步骤S5：对步骤S4得到的频域信号进行快速傅立叶逆变换得到时域形式的激励信号。本发明提供的马达振动波的生成方法可以自动生成，且方便提取得到期望的振动波形。
附图说明
图1为本发明马达振动波的生成方法的流程图；
图2为本发明马达振动波的生成方法的维纳逆滤波原理图。
具体实施方式
下面将结合附图和实施方式对本发明作进一步说明。
本实施方式的马达振动波的生成方法应用于在智能手机、平板电脑中的线性马达，可以实现马达自动波形的生成，方法简单，便于提取。
如图1所示，本发明的马达振动波的生成方法包括如下步骤：
步骤S1，白噪声信号激励马达：通过白噪声信号激励马达，并通过加速度传感器测量马达的振动信号；
步骤S2，马达系统识别：根据维纳霍夫方程，通过求解输入噪声信号的自相关Rxx和输入输出的互相关Rxy来求解系统的脉冲响应h[n]，由于白噪声的自相关为脉冲信号，直接可以得到系统的脉冲响应为h[n]＝(1/sigma)*Rxy，其中sigma为步骤S1采用的白噪声的能量值；
步骤S3，构造期望振动波形：通过打点或者手工的方式绘制出期望的振动波形，优选的，期望振动波形的单位时长为5ms～15ms。在这样的单位时长状态下，可以使得构造出的期望振动波形达到最佳的显示效果。
步骤S4，维纳逆滤波：对步骤S3得到的振动波形进行维纳逆滤波得到频域信号，即通过求解复原函数，得到退化函数H的输入f(x,y)的估计值，得到的频域信号的频域表达式为：
Figure PCTCN2019087697-appb-000002
其中，*表示信号共轭，P N(u,v)/P S(u,v)为噪声和信号的功率比，具体的，噪声和信号的功率比，P N(u,v)/P S(u,v)为常数。
如图2所示，为维纳逆滤波的原理示意图，维纳逆滤波即通过求解复原函数，得到退化函数H的输入f(x,y)的估计值，把g(x,y)看成是期望的振动量，马达看做退化函数H，即对激励信号f(x,y)的估计从而得到频域表达式：
Figure PCTCN2019087697-appb-000003
步骤S5，生成激励信号：对步骤S4得到的频域信号进行快速傅立叶逆变换(IFFT变化，inverse fast Fourier transform)得到时域形式的激励信号。
本发明提供了一种马达振动波的生成方法包括如下步骤：步骤S1：通过白噪声信号激励马达，并通过加速度传感器测量马达的振动信号；步骤S2：通过加速度传感器获取的振动信号得到系统的脉冲响应；步骤S3：构造期望振动波形；步骤S4：对步骤S3得到的振动波形进行维纳逆滤波得到频域信号；步骤S5：对步骤S4得到的频域信号进行快速傅立叶逆变换得到时域形式的激励信号。本发明提供的马达振动波的生成方法可以自动生成，且方便提取得到期望的振动波形。
以上所述仅为本发明的实施例，并非因此限制本发明的专利范围，凡是利用本发明说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其它相关的技术领域，均同理包括在本发明的专利保护范围内。

Claims (8)

  1. 一种马达振动波的生成方法，其特征在于，包括如下步骤：
    步骤S1：通过白噪声信号激励马达，并通过加速度传感器测量马达的振动信号；
    步骤S2：通过加速度传感器获取的振动信号得到系统的脉冲响应；
    步骤S3：构造期望振动波形；
    步骤S4：对步骤S3得到的振动波形进行维纳逆滤波得到频域信号；
    步骤S5：对步骤S4得到的频域信号进行快速傅立叶逆变换得到时域形式的激励信号。
  2. 根据权利要求1所述的马达振动波的生成方法，其特征在于，所述步骤S2为通过维纳霍夫方程，通过求解输入噪声信号的自相关Rxx和输入输出的互相关Rxy来求解系统的脉冲响应h[n]。
  3. 根据权利要求2所述的马达振动波的生成方法，其特征在于，所述系统的脉冲响应为h[n]＝(1/sigma)*Rxy，其中sigma为白噪声的能量。
  4. 根据权利要求1所述的马达振动波的生成方法，其特征在于，所述步骤S3为通过打点或者手工的方式绘制出期望振动波形。
  5. 根据权利要求4所述的马达振动波的生成方法，其特征在于，所述期望振动波形的单位时长为5ms～15ms。
  6. 根据权利要求1所述的马达振动波的生成方法，其特征在于，所述步骤S4为通过求解复原函数，得到退化函数H的输入f(x,y)的估计值。
  7. 根据权利要求6所述的马达振动波的生成方法，其特征在于，所述频域信号的频域表达式为：
    Figure PCTCN2019087697-appb-100001
    其中，*表示信号共轭，P N(u,v)/P S(u,v)为噪声和信号的功率比。
  8. 根据权利要求7所述的马达振动波的生成方法，其特征在于，所述P N(u,v)/P S(u,v)为常数。
PCT/CN2019/087697 2018-08-13 2019-05-21 马达振动波的生成方法 WO2020034688A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201810918779.3 2018-08-13
CN201810918779.3A CN109241860A (zh) 2018-08-13 2018-08-13 马达振动波的生成方法

Publications (1)

Publication Number Publication Date
WO2020034688A1 true WO2020034688A1 (zh) 2020-02-20

Family

ID=65071097

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2019/087697 WO2020034688A1 (zh) 2018-08-13 2019-05-21 马达振动波的生成方法

Country Status (3)

Country Link
US (1) US20200047216A1 (zh)
CN (1) CN109241860A (zh)
WO (1) WO2020034688A1 (zh)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109241860A (zh) * 2018-08-13 2019-01-18 瑞声科技(新加坡)有限公司 马达振动波的生成方法
CN110503013B (zh) * 2019-08-07 2022-03-08 瑞声科技(新加坡)有限公司 振感相似度评价方法、装置及存储介质
CN111352509A (zh) * 2020-03-03 2020-06-30 瑞声科技(新加坡)有限公司 一种振动控制方法、存储介质及设备
CN112711329B (zh) * 2020-12-25 2022-05-27 瑞声新能源发展(常州)有限公司科教城分公司 一种振动器驱动方法、系统、振动驱动设备的存储介质
CN113093826B (zh) * 2021-03-31 2022-03-25 歌尔股份有限公司 振动电机的控制方法、装置、终端设备及存储介质

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101126919A (zh) * 2007-09-07 2008-02-20 西安交通大学 一种振动控制装置及振动控制方法
JP2012080714A (ja) * 2010-10-05 2012-04-19 Minebea Co Ltd モータの駆動装置、駆動方法および入力装置
CN107977077A (zh) * 2017-11-20 2018-05-01 珠海市魅族科技有限公司 振动控制方法、终端、计算机设备及可读存储介质
CN109241860A (zh) * 2018-08-13 2019-01-18 瑞声科技(新加坡)有限公司 马达振动波的生成方法

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1176440C (zh) * 2003-04-09 2004-11-17 重庆大学 一种恢复图象空间移变降质的数字图象处理方法
JP6361872B2 (ja) * 2014-07-09 2018-07-25 任天堂株式会社 振動生成システム、振動生成装置、振動信号生成プログラム、および振動生成方法
CN106525214A (zh) * 2016-11-18 2017-03-22 上海电机学院 一种风力发电机振动检测系统
CN107622160B (zh) * 2017-09-19 2020-11-24 上海航天精密机械研究所 基于逆问题求解的多点激励振动数值模拟方法
CN108325806B (zh) * 2017-12-29 2020-08-21 瑞声科技(新加坡)有限公司 振动信号的生成方法及装置

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101126919A (zh) * 2007-09-07 2008-02-20 西安交通大学 一种振动控制装置及振动控制方法
JP2012080714A (ja) * 2010-10-05 2012-04-19 Minebea Co Ltd モータの駆動装置、駆動方法および入力装置
CN107977077A (zh) * 2017-11-20 2018-05-01 珠海市魅族科技有限公司 振动控制方法、终端、计算机设备及可读存储介质
CN109241860A (zh) * 2018-08-13 2019-01-18 瑞声科技(新加坡)有限公司 马达振动波的生成方法

Also Published As

Publication number Publication date
US20200047216A1 (en) 2020-02-13
CN109241860A (zh) 2019-01-18

Similar Documents

Publication Publication Date Title
WO2020034688A1 (zh) 马达振动波的生成方法
US20200313529A1 (en) Methods and systems for estimating transducer parameters
US20090086998A1 (en) Method and apparatus for identifying sound sources from mixed sound signal
JP2017534358A5 (zh)
RU2015129784A (ru) Фильтр и способ для информированной пространственной фильтрации, используя многочисленные мгновенные оценки направления прибытия
JP2012530308A (ja) ２つ以上のトランスデューサを備えた物体の表面における、１つ以上の衝撃または接触の位置を決定する方法
WO2020140590A1 (zh) 一种音频信号处理方法及设备、存储介质
RU2015141871A (ru) Устройство и способ для многоканального прямого-окружающего разложения для обработки звукового сигнала
CN103944535B (zh) 一种利用频响特性配置的全相位滤波器组的方法及其装置
CN110907827B (zh) 一种马达瞬态失真测量方法及系统
de la Rosa et al. An application of the independent component analysis to monitor acoustic emission signals generated by termite activity in wood
CN109979469B (zh) 信号处理方法、设备及存储介质
Nagarajaiah et al. Blind modal identification of output-only non-proportionally-damped structures by time-frequency complex independent component analysis
CN106031196A (zh) 信号处理装置、方法以及程序
Keller et al. The Optimal Measurement Problem for the Measurement Transducer Model with a Deterministic Multiplicative Effect and Inertia
JP2017209288A5 (zh)
Carini et al. Robust room impulse response measurement using perfect sequences for Legendre nonlinear filters
Kim et al. A two-dimensional nonlinear nonlocal feed-forward cochlear model and time domain computation of multitone interactions
CN111722109B (zh) 马达系统失真的测量方法及设备、计算机可读存储介质
WO2019028724A1 (zh) 一种确定目标操作的方法、压力检测装置及终端设备
JP2014048398A (ja) 音響信号解析装置、方法、及びプログラム
JP6519801B2 (ja) 信号解析装置、方法、及びプログラム
CN109691134B (zh) 一种扬声器、电子装置及用于扬声器布置的方法
Rastegar et al. Application of He’s variational iteration method to the estimation of diaphragm deflection in MEMS capacitive microphone
Isar et al. A statistical analysis of the 2d discrete wavelet transform

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 19849854

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 19849854

Country of ref document: EP

Kind code of ref document: A1