Information
Table Of Contents
- A. Overview
- 1. Getting started
- 1.1 The BME688 Gas Sensor
- 1.2 Example: Coffee vs. Normal Air
- 1.3 A Few Things To Keep In Mind
- 1.4 Step 1: Record Normal Air
- 1.5 Step 2: Record Espresso Coffee
- 1.6 Step 3: Record Normal Air Again
- 1.7 Step 4: Record Filter Coffee
- 1.8 Step 5: Import & Label The Data
- 1.9 Step 6: Create New Algorithm and Classes
- 1.10 Step 7: Train And Evaluate The Algorithm
- 1.11 Step 8: Export The Algorithm
- 1.12 Conclusion
- 2. Introduction
- 2.1 What is it about? – An analogy
- 2.2 Why the BME688?
- 2.3 What is a use case for a gas sensor?
- 2.4 What is special about the BME688 gas sensor?
- 2.5 How can I evaluate BME688 performance for a specific use case?
- 2.6 How can I use the results for my product development?
- 3. Glossary
- 3.1 Sensor Board
- 3.2 Measurement Session
- 3.3 Algorithm
- B. Process Steps
- 1. Configure Board
- 1.1 Overview
- 1.2 Board Type
- 1.3 Board Mode
- 1.4 Heater Profile
- 1.5 Duty Cycle
- 1.6 Board Layout
- 2. Record Data
- 2.1 Overview
- 2.2 Start recording
- 2.3 During recording
- 2.4 End recording
- 3. Import Data
- 3.1 Overview
- 3.2 Data Overview
- 3.3 Board ID
- 3.4 Board Type
- 3.5 Board Mode
- 3.6 Session Name
- 3.7 Session Date
- 3.8 Specimen Data
- 4. Collect Specimens
- 4.1 Overview
- 4.2 Label
- 4.3 Comment
- 4.4 Session
- 4.5 Start & End Time
- 4.6 Duration
- 4.7 Cycles Total
- 4.8 Cycles Dropped
- 4.9 Remaining Cycles
- 4.10 Board Configuration
- 4.11 Board ID
- 4.12 Board Type
- 4.13 Board Mode
- 4.14 Show Configuration
- 5. Train Algorithms
- 5.1 Overview
- 5.2 Name
- 5.3 Created
- 5.4 Classes
- 5.5 Class Name & Color
- 5.6 Common Data
- 5.7 Data Balance
- 5.8 Data Channels
- 5.9 Neural Net
- 5.10 Training Method
- 5.11 Max. Training Rounds
- 5.12 Data Splitting
- 6. Evaluate Algorithms
- 6.1 Overview
- 6.2 Confusion Matrix
- 6.3 Accuracy
- 6.4 Macro-averaged F1 Score
- 6.5 Macro-averaged False Positive Rate
- 6.6 Training Data
- 6.7 Test Data
- 6.8 Additional Testing
- 2.1
Bosch Sensortec | BME AI-Studio Documentation 38 | 49
Modifications reserved | Data subject to change
without notice Document number: BST-BME688-AN001-00
4.5 Start & End Time
This indicates the date and time the selected specimen has been recorded within the respective measurement session.
Within the Raw Data, the time information is stored in Coordinated Universal Time (UTC) and is here automatically
displayed in your respective local time zone.
4.6 Duration
This indicates the length of the measurement of the selected specimen, according to its start and end time.
4.7 Cycles Total
This indicates the total number of scanning cycles in the Measurement Raw Data of the selected specimen.
Please note
Since each heater profile has slightly different cycle lengths, the number of scanning cycles within a specimen can
vary and might be different for equal measurement durations.
4.8 Cycles Dropped
This indicates the number of scanning cycles that have been dropped during import. When importing raw measurement
data, BME AI-Studio automatically checks the data of every scanning cycle and excludes incomplete cycles from the
import.
The number of dropped scanning cycles is also indicated as a percentage of the total number of scanning cycles.
4.9 Remaining Cycles
This indicates the number of remaining scanning cycles of the selected specimen after dropping incomplete cycles.
4.10 Board Configuration
This section provides detail information about the BME board, which was used to record the data of the selected
specimen. You can see the unique board ID, the board type and access the BME board configuration used by
clicking Show configuration. This opens up an overlay with the following information.
Board type
This indicates the type of BME board used to record the data of the selected specimen.
Board mode
This indicates the board mode in which the BME board was configured in during recording of the data of the selected
specimen.
Heater profiles