Measurement instrument

Patent metadata

Field	Value
Publication number	US-11867725-B2
Application number	US-202017091775-A
Country	US
Kind code	B2
Filing date	Nov 6, 2020
Priority date	Nov 6, 2020
Publication date	Jan 9, 2024
Grant date	Jan 9, 2024

Abstract

The invention relates to a measurement instrument, such as an oscilloscope, comprising a measurement unit adapted to receive an input signal, and a processing unit adapted to classify the input signal, preferably based on signal parameters or characteristics of the input signal. wherein the processing unit is adapted to determine a signal analysis category for the input signal based on said classification of the input signal, and to match the determined signal analysis category to a control configuration, which defines settings and/or configurations of the measurement instrument, based on an adjustment function. The measurement instrument further comprises a user interface configured to display at least one graphical representation, in particular a waveform, of the input signal based on the control configuration, wherein the user interface is adapted to receive a user input to modify the settings and/or configurations of the measurement instrument, and wherein the processing unit is configured to dynamically adapt the adjustment function based on said user input.

First claim

The invention claimed is:

1. A measurement instrument, comprising:
a measurement device adapted to receive an input signal;
a processor adapted to classify the input signal based on signal parameters or characteristics of the input signal;
wherein the processor is adapted to determine a signal analysis category for the input signal based on said classification of the input signal, and to match the determined signal analysis category to a control configuration, which defines settings and/or configurations of the measurement instrument, based on an adjustment function; and
a user interface configured to display the control configuration or certain aspects of the control configuration and at least one graphical representation of the input signal based on the control configuration;
wherein the user interface is adapted to receive a user input to modify the settings and/or configurations of the measurement instrument;
wherein the processor is configured to dynamically adapt the adjustment function based on changes made by the user to the control configuration with said user input; and
wherein the processor is configured to determine, via login or password, a current user of the measurement instrument, wherein the adjustment function is configured to match the control configuration to the determined signal analysis category based on the current user of the measurement instrument.

2. The measurement instrument of claim 1 , wherein the processor is adapted to learn from a difference between the settings and/or configurations defined by the control configuration and the modifications to said settings and/or configurations made by the user input.

3. The measurement instrument of claim 1 , wherein the processor is configured to execute a machine-learning algorithm, which is configured to dynamically adapt the adjustment function based on the user input.

4. The measurement instrument of claim 1 , wherein the processor is configured to dynamically adapt the adjustment function based on said user input and an identity of the user making said user input.

5. The measurement instrument of claim 1 , further comprising a network interface adapted to transmit information about the input signal and/or the user input to a remote server.

6. A system for updating measurement instruments, comprising:
at least one measurement instrument, having:
a measurement device adapted to receive an input signal, and
a user interface adapted to display at least one waveform of the input signal based on a control configuration, which defines settings and/or configurations of the measurement instrument, and to display the control configuration or certain aspects of the control configuration,
wherein the user interface is adapted to receive a user input to modify the settings and/or configurations defined by the control configuration of the measurement instrument;
a remote server;
wherein the at least one measurement instrument and the remote server are connected via a communication network;

wherein the at least one measurement instrument is configured to forward information about the input signal and the user input to the remote server;
wherein the remote server is configured to analyze the information about the input signal and the user input and to generate update data for updating the at least one measurement instrument based on said analysis;
wherein the update data comprises data to update an adjustment function of the at least one measurement instrument, wherein the adjustment function is configured to generate and/or select the control configuration of the at least one measurement instrument; and
wherein the measurement instrument is configured to determine, via login or password, a current user of the measurement instrument, wherein the adjustment function is configured to match the control configuration to the determined signal analysis category based on the current user of the measurement instrument.

7. The system of claim 6 , wherein the remote server is configured to receive information about input signals and associated user input from multiple different measurement instruments that are connected to the communication network, wherein the remote server is configured to generate the update data based on an analysis of the received information from the multiple different measurement instruments.

8. The system of claim 6 , wherein the remote server is configured to execute a machine-learning algorithm to analyze the information about the input signal and/or the user input, and/or to generate the update data.

9. The system of claim 6 , wherein the remote server is configured to forward the update data to the at least one measurement instrument via the communication network.

10. A method for controlling a measurement instrument, comprising the steps of:
receiving an input signal;
classifying the input signal based on signal parameters or characteristics of the input signal;
determining a signal analysis category for the input signal based on said classification of the input signal;
matching the determined signal analysis category of the input signal to a control configuration, which defines settings and/or configurations of the measurement instrument, based on an adjustment function;
displaying the control configuration or certain aspects of the control configuration and at least one graphical presentation of the input signal based on the control configuration;
receiving a user input to modify the settings and/or configurations of the measurement instrument; and
dynamically adapting the adjustment function based on changes made by the user to the control configuration with said user input,
wherein a current user of the measurement instrument is determined via login or password, wherein the adjustment function is configured to match the control configuration to the determined signal analysis category based on the current user of the measurement instrument.

11. The method of claim 10 , comprising the further step of: learning from a difference between the settings and/or configurations defined by the control configuration and the modifications to said settings and/or configurations made by the user input.

12. The method of claim 10 , wherein the adjustment function is dynamically adapted based on the user input by a machine-learning algorithm.

13. The method of claim 10 , wherein the adjustment function is dynamically adapted based on said user input and an identity of the user making said user input.

14. The method of claim 10 , further comprising the step of: transmitting information about the input signal and/or the user input to a remote server.

Assignees

• Rohde & Schwarz

Inventors

• Sterzbach Bernhard

Classifications

• G01R13/0218 Primary

  Circuits therefor · CPC title

• G01R13/02

  for displaying measured electric variables in digital form · CPC title

• G01R13/029 Primary

  Software therefor · CPC title