Automated Sensor Data Processing for Accurate Sampling
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Solution Overview
Problem
The existing methods for determining sensor data sets by organizing and sorting sensor input and output values into tables and manually selecting N sampling data result in low accuracy and inefficiency.
Innovation Solution
A sensor data processing method that automatically determines N sensor input sampling values and corresponding sensor output sampling values based on the sensor data set, without manual intervention, ensuring high accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data set is organized into a table and manually selected, then the process is simple to operate, but the accuracy of determined sampling data is low and the determination process is inefficient
Solution Approach 1:
The patent replaces the manual mechanical selection process with an automated computer-based system. The processing unit automatically determines N sensor input sampling values and their corresponding output sampling values from the sensor data set, eliminating manual intervention and significantly improving both accuracy and efficiency of the sampling data determination process
Solution Approach 2:
The system performs self-service by automatically processing the sensor data set to extract sampling values without requiring manual selection. The processing unit independently completes the entire workflow of selecting input sampling values, finding corresponding output values, and generating the sampling data set, thereby improving operational efficiency and consistency
2Ease of operation
If sensor data set is organized into a table and manually selected, then the process is easy to operate, but the determination process is time-consuming
Solution Approach 1:
The patent replaces the manual mechanical selection process with an automated computer-based system. The processing unit automatically determines N sensor input sampling values and their corresponding output sampling values from the sensor data set, eliminating manual intervention and significantly improving both accuracy and efficiency of the sampling data determination process
Solution Approach 2:
The system performs preliminary processing by pre-organizing the sensor data set with paired input-output values before sampling extraction. This preliminary organization enables the processing unit to quickly and accurately extract sampling values without time-consuming manual search and selection operations
Data Source
AI summary
A sensor data processing method, apparatus, electronic device and storage medium are provided. The method includes: acquiring a sensor data set, determining N sensor input sampling values, and determining, based on each sensor input sampling value, a sensor output sampling value corresponding to the sensor input sampling value in the sensor data set, to obtain N sampling data. In the embodiments of the present disclosure, the sensor data processing apparatus acquires a sensor data set and determines N sensor input sampling values. In addition, the sensor data processing apparatus determines, based on each sensor input sampling value, the sensor output sampling value corresponding to the sensor input sampling value in the sensor data set, to obtain N sampling data. Such process does not involve complex manual operations, so that the final determined N sampling data have high accuracy, and the process of determining N sampling data is highly efficient.