Electronic Device Measurement Mode Setting Automation
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Solution Overview
Problem
Manual setting of measurement modes in graph function electronic calculators is labor-intensive and time-consuming, particularly for teachers in educational settings, which can lead to inefficiencies and incomplete experiments when multiple students or experiments are involved.
Innovation Solution
An electronic device with a measurement mode setting program that automatically sets the measurement mode based on sensor type, utilizing a database to store sensor types and corresponding measurement modes, and a communication system to connect with sensors and data loggers, allowing users to select and set modes efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual setting of measurement modes is implemented, then measurement accuracy can be ensured, but teacher workload and time consumption increase significantly
Solution Approach 1:
The system automatically identifies the sensor type through communication with the connected sensor device and autonomously selects and sets the appropriate measurement mode, eliminating the need for manual intervention. The electronic device serves itself by performing the mode setting operation that would otherwise require a user, thereby reducing time consumption while maintaining measurement accuracy through programmatic selection of appropriate modes.
Solution Approach 2:
Multiple measurement modes are pre-configured and stored in the device's memory, each associated with specific sensor types. When a sensor is connected, the system retrieves the pre-prepared measurement mode from memory and applies it automatically. This preliminary preparation of measurement modes eliminates the need for real-time manual configuration, significantly reducing setup time while ensuring accurate measurement settings.
2Reliability
If manual setting of measurement modes is implemented, then appropriate measurement modes can be selected, but productivity decreases due to repeated setting work
Solution Approach 1:
The electronic device automatically performs the measurement mode setting operation by itself through sensor type identification and automated mode selection algorithms. This self-service capability eliminates the repetitive manual setting work that reduces productivity, allowing students to conduct multiple experiments during class time without being burdened by repeated configuration tasks, thereby improving overall class efficiency.
Solution Approach 2:
The manual mechanical operation of selecting and setting measurement modes through physical buttons and menus is replaced by an automated electronic system. The system uses communication protocols to identify sensor types and programmatically selects the appropriate measurement mode, substituting the manual mechanical setting process with an automated electronic control system. This increases productivity by eliminating repetitive manual operations while maintaining accurate measurement mode selection.
3Loss of time
If automatic measurement mode setting is implemented, then time is saved, but device complexity increases
Solution Approach 1:
The communication interface of the electronic device is enhanced to perform multiple functions: it not only displays measurement values from connected sensors but also automatically identifies sensor types and selects appropriate measurement modes. This multi-functionality allows the same communication system to handle both data acquisition and automatic configuration tasks, reducing the need for separate dedicated components and thereby limiting the increase in device complexity while achieving automatic mode setting.
Solution Approach 2:
The sensor type identification function and measurement mode selection function are merged into a single automated process within the electronic device's control system. Instead of having separate independent systems for identification and mode selection, the patent combines these functions into an integrated workflow where the same processing unit handles both tasks sequentially. This merging reduces the overall system complexity compared to having separate dedicated systems for each function, while still achieving the time-saving benefits of automation.
Data Source
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AI summary
An electronic device includes a communication device and a processor. The processor receives sensor kind information via the communication device from one of at least one sensor or an electronic measurement instrument to which the at least one sensor is connected, transmits the received sensor kind information to a database storing a combination of a sensor kind and a measurement mode in which measurement contents are defined, acquires, from the database, the measurement mode in accordance with the transmitted sensor kind information, and sets the acquired measurement mode corresponding to one of the at least one sensor or the at least one sensor connected to the electronic measurement instrument.