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JP-2026075054-A - Test and measurement system and method

JP2026075054AJP 2026075054 AJP2026075054 AJP 2026075054AJP-2026075054-A

Abstract

[Challenge] To enable users to customize how data is represented and visualized using an artificial intelligence (AI) assistant. [Solution] The test measurement system 10 includes one or more test measurement devices 14, at least one of which is connected to a device under test (DUT), one or more memories, one or more generating AI models 18 connected to one or more test measurement devices 14, and one or more processors. An AI assistant 14 is provided as an interface for the generating AI model, a user interface is displayed that allows the user to input prompts, the prompts are converted into one or more queries for the generating AI model using the AI assistant, commands are sent to the test measurement devices 14 connected to the DUT to perform one or more tests on the DUT, the results of one or more tests are obtained and converted into results that can be interpreted by the user, and the results of the prompts are provided to the user via the user interface. [Selection Diagram] Figure 1

Inventors

  • アルチャナ・アイ・アッカルコット
  • キース・ディー・ルール
  • ニティン・カネジャ
  • プラシャント・トータ

Assignees

  • テクトロニクス・インコーポレイテッド

Dates

Publication Date
20260507
Application Date
20250925
Priority Date
20240925

Claims (10)

  1. A test and measurement system, One or more test measurement devices, including at least one test measurement device having one or more ports for connecting to a device under test (DUT), One or more memories containing knowledge of test measurements, The above-mentioned one or more test measurement devices and one or more generative artificial intelligence (AI) models connected to the above-mentioned memory, Equipped with one or more processors, The one or more processors The process of providing an artificial intelligence (AI) assistant as an interface to the above-mentioned generated AI model, The process involves presenting a user interface that allows the user to input prompts interpreted by the AI assistant, and The process involves using the above AI assistant to convert the above prompt into one or more queries for the above-mentioned AI model, The process involves sending a command to at least one test measuring device to perform one or more tests on the DUT in response to the above prompt, The process involves obtaining the results of one or more of the above tests and converting them into results that can be interpreted by the user. A test and measurement system configured to execute a program that causes one or more processors to perform the following: providing the user with results based on the above prompts in the above user interface.
  2. The test measurement system according to claim 1, wherein one or more processors are further configured to execute a program that causes one or more processors to perform a process of providing the AI assistant with information about the environment of the test measurement system by accessing one or more of the following: test specifications, general test measurement knowledge, knowledge of specific equipment in the environment of the test measurement system, analytical knowledge, rendering knowledge, and knowledge of one or more devices and systems being tested in the environment.
  3. The test and measurement system according to claim 1, wherein one or more processors are further configured to execute a program that causes the AI assistant to perform a process to access one or more existing tools in response to the prompt, and the one or more existing tools include one or more of the following processes: search, trigger, analysis, rendering, data serialization, measurement, and decoding.
  4. The test and measurement system according to claim 3, wherein one or more processors are further configured to execute a program that causes the AI assistant to perform a process of connecting two or more of the existing tools to each other in response to the prompt.
  5. The test and measurement system according to claim 1, further configured such that one or more processors execute a program that causes the AI assistant to create and connect one or more new tools in response to the prompts, and to form a workflow.
  6. The process of providing an artificial intelligence (AI) assistant as an interface to a generated AI model, The process involves presenting a user interface that allows the user to input prompts interpreted by the AI assistant, and Using the above AI assistant, the process involves converting the above prompt into one or more queries, In response to the above prompt, the process involves sending a command to one or more test measurement devices in the test measurement system to perform one or more tests on the device under test (DUT), The process involves obtaining the results of one or more of the above tests and converting them into results that can be interpreted by the user. A test measurement method comprising the process of providing the user with the results based on the above prompt in the above user interface.
  7. The test measurement method according to claim 6, further comprising the process of providing the AI assistant with information regarding the environment of the test measurement system by accessing one or more of the following using the AI assistant: test specifications, general test measurement knowledge, knowledge of specific devices within the environment of the test measurement system, analytical knowledge, rendering knowledge, and knowledge of one or more devices and systems being tested within the environment.
  8. The test measurement method according to claim 6, further comprising the process of accessing one or more existing tools using the AI assistant in response to the above prompt, wherein the one or more existing tools include one or more of the following processes: search, trigger, analysis, rendering, data serialization, measurement, and decoding.
  9. The test measurement method according to claim 8, wherein the process of accessing one or more existing tools using the above-mentioned AI assistant includes a process of connecting the existing tools using the above-mentioned AI assistant to create a new workflow.
  10. The test measurement method according to claim 6, further comprising a process for saving the above prompt and command as a template.

Description

This disclosure relates to a test and measurement system, and more particularly to a test and measurement system that uses artificial intelligence for customizable signal analysis, signal generation, and data visualization. Design and test engineers in fields such as aerospace, automotive, defense, and electronics use test and measurement equipment to debug, verify, and quality control devices under test. These tests verify compliance with standards, detect errors, measure performance, and confirm many other parameters and characteristics. Japanese Patent Publication No. 2024-074289Japanese Patent Publication No. 2023-183409 Tektronix's website introducing "Tektronix oscilloscopes," Tektronix, [online], [searched September 16, 2025], Internet <https://www.tek.com/ja/products/oscilloscopes> Figure 1 shows a diagram of an embodiment of the test measurement system.Figure 2 shows an example of a complex system.Figure 3 shows an embodiment of the process flow of an AI-assisted test and measurement system.Figure 4 shows a diagram of the signal analysis layers.Figure 5 shows a diagram of the signal with points of interest marked.Figure 6 shows a diagram illustrating the definition of the physical layer.Figure 7 shows a diagram of the decoding layer.Figure 8 shows an example of an image of the response to a prompt in an AI-assisted test measurement system.Figure 9 shows an example of an image of the response to a prompt in an AI-assisted test measurement system.Figure 10 shows an example of an image of the response to a prompt in an AI-assisted test measurement system.Figure 11 shows an example of an image of the response to a prompt in an AI-assisted test measurement system.Figure 12 shows an example of an image of the response to a prompt in an AI-assisted test measurement system.Figure 13 shows an example of an image of the response to a prompt in an AI-assisted test measurement system. The terms used in this application each have their own specific definitions. “User prompt” or “prompt” refers to what a user inputs into the AI assistant’s user interface. The term “query” is a structured request sent to the analysis or rendering engine that includes precise specifications on how to handle the available measurement data. Queries operate on a pool of information from sources that may include, but are not limited to, the channels of the oscilloscope receiving the data, mathematical functions, protocol decoding, measurement populations, search results, spectral data, stored files, and data from multiple connected devices. An "analysis engine" refers to a software component that processes input data, applies specific rules and algorithms, and outputs results. Analysis engines often transform data from one format, structure, or representation to another, enabling further use and insight. They select data sources (such as which channel of which instrument), perform calculations, statistical analysis, filtering, and, if necessary, compare the results to specifications for compliance. A "rendering engine" refers to a software component that takes the output processed by the analysis engine and transforms it into a visual format such as charts, graphs, images, or interactive displays, making the data easily interpretable by humans. Rendering engines display the results of the analysis engine. This includes plots, swim lanes (a format similar to multiple lanes in a swimming pool), annotated/unannotated waveforms, color coding, layout, and display parameters. As mentioned above, the current query must adhere to a very detailed format, specifying each component and parameter. The functions handled by the AI assistant and the generative AI differ significantly. The AI assistant analyzes the user's prompt, identifying the data source, analysis needs, and display requirements. The AI assistant uses its knowledge of the current equipment, protocol, available data, and data source as the context (background and situational information) for the prompt. The AI assistant then creates the analysis results and rendered query in a format and content appropriate to the parameters derived from the user prompt. Furthermore, in addition to utilizing saved query patterns and available tools, the AI assistant can also save new query patterns as templates for later use. Regarding tools, the AI assistant can, for example, use existing tools or create "created" tools from the system's available functions, rather than using fixed, pre-programmed measurement functions. The AI assistant can create and use multiple modular tools that can connect to each other as needed, each performing a specific task and passing its results to the next tool. Examples, though not limited to, include period detectors, root mean square (RMS) measurements, various error measurements and detectors, and swim lane rendering, which creates visual representations using separate lanes for data streams. The AI assistant automatically selects the appropriate measurement tools