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Related Concept Videos

Instrument Calibration01:12

Instrument Calibration

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Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
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Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

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Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over...
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Glassware Calibration01:11

Glassware Calibration

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Accurate calibration of glassware, such as volumetric flasks, pipettes, and burettes, is essential to ensure accurate measurements in the analytical laboratory. Calibration helps maintain consistency across measurements and prevents errors arising from inaccurate volumes.
Volumetric flasks: Volumetric flasks are designed to prepare aqueous solutions of precise volumes accurately with a calibration line on the neck. To calibrate a volumetric flask, it is important to fill it with distilled...
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Calibration Curves: Linear Least Squares01:20

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A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
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Calibration Curves: Correlation Coefficient01:10

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In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the...
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Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

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Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
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A Remote Calibration Device Using Edge Intelligence.

Quan Wang1,2,3, Hongbin Li1,4, Hao Wang4

  • 1School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.

Sensors (Basel, Switzerland)
|January 11, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a remote calibration device with edge intelligence for power systems. The system enables automated meter reading and data transmission, reducing the need for on-site human intervention.

Keywords:
CRNNedge intelligencepower systemremote calibration devicetext recognition

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Area of Science:

  • Electrical Engineering
  • Artificial Intelligence
  • Measurement Science

Background:

  • Power system facility calibration traditionally requires extensive in-site operations.
  • Existing calibration methods can be labor-intensive and prone to human error.
  • Some calibration meters lack the capability for automated information retrieval.

Purpose of the Study:

  • To develop a remote calibration device incorporating edge intelligence.
  • To minimize human intervention in the power system calibration process.
  • To enhance the intelligence and automation of calibration procedures.

Main Methods:

  • The device integrates wireless serial port, Bluetooth, video acquisition, and text recognition modules.
  • A smart meter reading method utilizes artificial intelligence, including Efficient and Accurate Scene Text Detector (EAST) and Convolutional Recurrent Neural Network (CRNN), for data extraction.
  • Data is transmitted via the Extensible Messaging and Presence Protocol (XMPP).

Main Results:

  • The proposed device successfully performs remote calibration with reduced human intervention.
  • The AI-based meter reading method accurately extracts data from calibration meters.
  • The system addresses limitations of meters unable to self-report information.

Conclusions:

  • The developed edge-intelligent remote calibration device significantly improves the automation and efficiency of power system calibrations.
  • This technology offers a viable solution for remote monitoring and data acquisition in calibration labs.
  • The system enhances the overall intelligence of power system facility calibration.