Espresso Smart Scale Design Overview

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Below is an overview of the ESPRSSO32 Smart Scale project based on the information available in the project file:

Purpose and High-Level Concept
  • Objective:
    The project is a smart scale designed for espresso applications. It measures espresso shot parameters (such as weight and extraction timing) and uses TinyML capabilities to help the user maintain or improve the quality of espresso shots.
  • Core Idea:
    By integrating precise sensor measurements with local processing via a microcontroller, the scale provides real-time feedback to help prevent sour or over-extracted shots.

Core Components and Their Roles

Table


ComponentRole / Function
ESP32-C3 (U1)Acts as the main processing unit. It runs the TinyML model and handles sensor interfacing, user communications, and any wireless connectivity.
NAU7802SGI (U1)A 24-bit ADC that is typically used for high-precision weight or load cell measurements, allowing for accurate conversion of the small differential signals from the sensor.
NCP176BMX330TCG (U2)A low-dropout voltage regulator to ensure a stable power supply for sensitive analog and digital circuitry.
Decoupling and Filtering Components (Murata capacitors, Vishay resistors, etc.)Ensure that power lines are stable and free of noise. Multiple capacitors are used for decoupling power supply pins, while resistors help with signal conditioning and biasing.
Connectors and Headers (PJ-102B, etc.)Provide interfaces for power input (via a barrel jack), communication, and potentially external sensor or display connections.
Oscillator (RH100-40.000-18-F-2030-EXT-TR-NS1)Supplies the precise clock signal required by the ESP32-C3 for accurate processing and timing.

Design, Implementation, and Functionality Breakdown
  1. System Architecture and Signal Flow
    • Sensor Interface:
      The load cell’s small differential output is conditioned and then digitized by the high-resolution ADC (NAU7802SGI).
    • Data Processing:
      The ESP32-C3 gathers the digitized sensor data and, using embedded TinyML algorithms, processes the data in real time.
    • Power Management:
      The NCP176BMX330TCG LDO regulator converts and stabilizes the incoming power, while decoupling networks (with capacitors like 1uF units) mitigate voltage transients.
    • User and Connectivity Interface:
      Peripheral connectors and headers facilitate power input, possible display connections, and data communication with external devices (e.g., via WiFi or Bluetooth on the ESP32-C3).
  2. Component Selection and Layout Considerations
    • Passive Components:
      The design uses industry-standard SMD parts (e.g., Murata 1uF capacitors and Vishay resistors in 0402 or 0805 packages), ensuring low parasitic effects and minimal board footprint.
    • Ground and Power Nets:
      Specialized net portals (e.g., PP3V3, PP5V0) maintain consistent voltage distribution and return paths, crucial for both analog precision and digital switching performance.
    • Clock Stability:
      A dedicated crystal oscillator unit ensures the microcontroller functions with a stable clock, which is especially important when operating TinyML algorithms that require precise timing.
  3. Trade-Offs and Design Choices
    • Precision vs. Cost:
      High-resolution ADCs and precision passive components have been chosen to achieve accurate sensor readings, which may come at a higher cost but are necessary for reliable espresso shot measurements.
    • Power Supply Complexity:
      Multiple decoupling and filtering elements have been used to ensure a clean power supply, especially in the presence of rapid digital switching from the ESP32-C3, which can introduce noise.
    • Form Factor vs. Complexity:
      A compact SMD layout is preferred to offer a small footprint; however, this demands careful PCB routing and thermal management.
  4. Potential Challenges and Performance Considerations
    • Noise and Signal Integrity:
      Ensuring the analog front-end (load cell sensor and ADC) remains immune to digital noise poses a significant challenge. Carefully laid out decoupling networks and controlled impedance traces are critical.
    • Processing Load:
      Running TinyML algorithms on the ESP32-C3 requires that firmware be carefully optimized for real-time performance without compromising battery life.
    • Thermal Management:
      Even with low drop-out regulators, managing heat in a compact board can be challenging, especially under varying operating conditions.
    • Calibration Drift:
      Over time, load cell readings can drift, necessitating either in-circuit calibration routines or periodic recalibration in the software.
  5. Real-World Applications and Future Enhancements
    • Applications:
      Beyond espresso shot quality assessment, a similar design could be adapted for other precision weight-measurement applications, such as food portioning, ingredient dispensing, or laboratory scales.
    • Scalability:
      Future versions could integrate additional sensors (like temperature or humidity) to offer a more comprehensive evaluation of espresso extraction conditions.
    • Connectivity and Data Analytics:
      Enhanced wireless connectivity could enable integration with mobile apps or cloud services for data logging, advanced analytics, or remote calibration.
    • Firmware Optimization:
      As TinyML models evolve, the embedded algorithms can be updated to provide more nuanced feedback or predictive maintenance tips.
    • Modular Design:
      A redesign might consider a more modular architecture that allows for easier updates or component swaps in response to improvements in sensor technology.

Summary
The ESPRSSO32 Smart Scale project represents an integrated design where a high-performance microcontroller, precision ADC, and carefully selected passive components work together to provide an accurate, responsive tool for espresso shot evaluation. The design prioritizes signal integrity, stable power management, and efficient processing, with trade-offs made between compactness and noise immunity. Future enhancements could further integrate connectivity, modular sensor platforms, and refined firmware for robust, scalable applications.
This detailed breakdown provides insight into the project's purpose, design decisions, core components, and areas for ongoing improvement.
321 days
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Net3
Net2
R9
Resistance
500 Ω
Net1
R10
Resistance
500 Ω
PowerNet2
PowerNet4
C14
Capacitance
Capacitance
P3
PowerNet3


  • Ground
    A common return path for electric current. Commonly known as ground.
  • Net Portal
    Wirelessly connects nets on schematic. Used to organize schematics and separate functional blocks. To wirelessly connect net portals, give them same designator. #portal
  • Power Net Portal
    Wirelessly connects power nets on schematic. Identical to the net portal, but with a power symbol. Used to organize schematics and separate functional blocks. To wirelessly connect power net portals, give them the same designator. #portal #power
  • Generic Resistor
    A generic fixed resistor for rapid developing circuit topology. Save precious design time by seamlessly add more information to this part (value, footprint, etc.) as it becomes available. Standard resistor values: 1.0Ω 10Ω 100Ω 1.0kΩ 10kΩ 100kΩ 1.0MΩ 1.1Ω 11Ω 110Ω 1.1kΩ 11kΩ 110kΩ 1.1MΩ 1.2Ω 12Ω 120Ω 1.2kΩ 12kΩ 120kΩ 1.2MΩ 1.3Ω 13Ω 130Ω 1.3kΩ 13kΩ 130kΩ 1.3MΩ 1.5Ω 15Ω 150Ω 1.5kΩ 15kΩ 150kΩ 1.5MΩ 1.6Ω 16Ω 160Ω 1.6kΩ 16kΩ 160kΩ 1.6MΩ 1.8Ω 18Ω 180Ω 1.8KΩ 18kΩ 180kΩ 1.8MΩ 2.0Ω 20Ω 200Ω 2.0kΩ 20kΩ 200kΩ 2.0MΩ 2.2Ω 22Ω 220Ω 2.2kΩ 22kΩ 220kΩ 2.2MΩ 2.4Ω 24Ω 240Ω 2.4kΩ 24kΩ 240kΩ 2.4MΩ 2.7Ω 27Ω 270Ω 2.7kΩ 27kΩ 270kΩ 2.7MΩ 3.0Ω 30Ω 300Ω 3.0KΩ 30KΩ 300KΩ 3.0MΩ 3.3Ω 33Ω 330Ω 3.3kΩ 33kΩ 330kΩ 3.3MΩ 3.6Ω 36Ω 360Ω 3.6kΩ 36kΩ 360kΩ 3.6MΩ 3.9Ω 39Ω 390Ω 3.9kΩ 39kΩ 390kΩ 3.9MΩ 4.3Ω 43Ω 430Ω 4.3kΩ 43KΩ 430KΩ 4.3MΩ 4.7Ω 47Ω 470Ω 4.7kΩ 47kΩ 470kΩ 4.7MΩ 5.1Ω 51Ω 510Ω 5.1kΩ 51kΩ 510kΩ 5.1MΩ 5.6Ω 56Ω 560Ω 5.6kΩ 56kΩ 560kΩ 5.6MΩ 6.2Ω 62Ω 620Ω 6.2kΩ 62KΩ 620KΩ 6.2MΩ 6.8Ω 68Ω 680Ω 6.8kΩ 68kΩ 680kΩ 6.8MΩ 7.5Ω 75Ω 750Ω 7.5kΩ 75kΩ 750kΩ 7.5MΩ 8.2Ω 82Ω 820Ω 8.2kΩ 82kΩ 820kΩ 8.2MΩ 9.1Ω 91Ω 910Ω 9.1kΩ 91kΩ 910kΩ 9.1MΩ #generics #CommonPartsLibrary
  • Generic Capacitor
    A generic fixed capacitor ideal for rapid circuit topology development. You can choose between polarized and non-polarized types, its symbol and the footprint will automatically adapt based on your selection. Supported options include standard SMD sizes for ceramic capacitors (e.g., 0402, 0603, 0805), SMD sizes for aluminum electrolytic capacitors, and through-hole footprints for polarized capacitors. Save precious design time by seamlessly add more information to this part (value, footprint, etc.) as it becomes available. Standard capacitor values: 1.0pF 10pF 100pF 1000pF 0.01uF 0.1uF 1.0uF 10uF 100uF 1000uF 10,000uF 1.1pF 11pF 110pF 1100pF 1.2pF 12pF 120pF 1200pF 1.3pF 13pF 130pF 1300pF 1.5pF 15pF 150pF 1500pF 0.015uF 0.15uF 1.5uF 15uF 150uF 1500uF 1.6pF 16pF 160pF 1600pF 1.8pF 18pF 180pF 1800pF 2.0pF 20pF 200pF 2000pF 2.2pF 22pF 20pF 2200pF 0.022uF 0.22uF 2.2uF 22uF 220uF 2200uF 2.4pF 24pF 240pF 2400pF 2.7pF 27pF 270pF 2700pF 3.0pF 30pF 300pF 3000pF 3.3pF 33pF 330pF 3300pF 0.033uF 0.33uF 3.3uF 33uF 330uF 3300uF 3.6pF 36pF 360pF 3600pF 3.9pF 39pF 390pF 3900pF 4.3pF 43pF 430pF 4300pF 4.7pF 47pF 470pF 4700pF 0.047uF 0.47uF 4.7uF 47uF 470uF 4700uF 5.1pF 51pF 510pF 5100pF 5.6pF 56pF 560pF 5600pF 6.2pF 62pF 620pF 6200pF 6.8pF 68pF 680pF 6800pF 0.068uF 0.68uF 6.8uF 68uF 680uF 6800uF 7.5pF 75pF 750pF 7500pF 8.2pF 82pF 820pF 8200pF 9.1pF 91pF 910pF 9100pF #generics #CommonPartsLibrary
  • Generic Inductor
    A generic fixed inductor for rapid developing circuit topology. *You can now change the footprint and 3D model at the top level anytime you want. This is the power of #generics
  • Terminal
    Terminal
    An electrical connector acting as reusable interface to a conductor and creating a point where external circuits can be connected.
  • RMCF0805JT47K0
    47 kOhms ±5% 0.125W, 1/8W Chip Resistor 0805 (2012 Metric) Automotive AEC-Q200 Thick Film #forLedBlink
  • 875105359001
    10uF Capacitor Aluminum Polymer 20% 16V SMD 5x5.3mm #forLedBlink #commonpartslibrary #capacitor #aluminumpolymer #radialcan
  • CTL1206FYW1T
    Yellow 595nm LED Indication - Discrete 1.7V 1206 (3216 Metric) #forLedBlink

Inspect

ESPRSSO32 Smart Scale [Example] 20a7

ESPRSSO32 Smart Scale [Example] 20a7
Created
Last updated by ansticeblacktionmedon899511
2 Contributor(s)
jeffwilde
ansticeblacktionmedon899511

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