Molecule

Bosch BMV080

Bosch BMV080

NSFLatest StablePhoto
bosch sensortecopen source dronexrp platformchip qualificationcomponent testing
PhotographDigital Twin
Creator Ray
Version 1.0.0
Created 2025-09-30
Availability 100%, 24/7
In Stock 5 units
Quality
6.5/10
Assets 2 files
⚡ Install this molecule

Paste this into Claude Code (VS Code panel, Adom editor, or terminal) to install:

Search the Adom Wiki for the molecule "Bosch BMV080" (slug: bosch-bmv080-837000) at https://wiki-ufypy5dpx93o.adom.cloud/wiki/molecules/bosch-bmv080-837000. Download its symbol (.kicad_sym), footprint (.kicad_mod), and 3D model (.glb/.step) assets into my current KiCad project under symbols/, footprints/, and 3dmodels/ directories. Register them in the project library tables. Show me the files once installed.

Bosch Sensortec’s BMV080 is a particulate matter sensor, capable of measuring particulate in the classes PM1, PM2.5, and PM10. The device itself is 450 times smaller than competing devices due to a novel sensing approach (comprised of the sensing mechanism itself along with unique processing algorithms) and its fanless design.

NSF Relevance

This sensor plays a critical role in the characterization of Bosch Sensortec’s library of sensors, and it can also be easily implemented in various other projects where air quality measurement is needed as a focus or in the periphery.

Science Drivers

bosch_sensortec, open_source_drone, xrp_platform, chip_qualification, component_testing

Created by: drew Version: v1 Category: other

Description

Edit AI Skill

Bosch Sensortec’s BMV080 is a particulate matter sensor, capable of measuring particulate in the classes PM1, PM2.5, and PM10. The device itself is 450 times smaller than competing devices due to a novel sensing approach (comprised of the sensing mechanism itself along with unique processing algorithms) and its fanless design.

NSF Relevance

NSF

This sensor plays a critical role in the characterization of Bosch Sensortec’s library of sensors, and it can also be easily implemented in various other projects where air quality measurement is needed as a focus or in the periphery.

Files

Download ZIP
PCB BMV080_Molecule_v17.brd PCB Board
F3D BMV080 Molecule v10.f3d Fusion 360

AI Skill Technical Reference

Edit AI Skill

Bosch BMV080

Type: Adom Molecule Creator: drew Version: v1 Category: other Availability: 100%, 24/7

Overview

Bosch Sensortec’s BMV080 is a particulate matter sensor, capable of measuring particulate in the classes PM1, PM2.5, and PM10. The device itself is 450 times smaller than competing devices due to a novel sensing approach (comprised of the sensing mechanism itself along with unique processing algorithms) and its fanless design.

Science Drivers

  • bosch sensortec
  • open source drone
  • xrp platform
  • chip qualification
  • component testing

NSF Relevance

This sensor plays a critical role in the characterization of Bosch Sensortec’s library of sensors, and it can also be easily implemented in various other projects where air quality measurement is needed as a focus or in the periphery.

Integration Guide

To use Bosch BMV080 in your design:

  1. Download the schematic symbol and PCB footprint from the Files section
  2. Import into your EDA tool (KiCad or Fusion 360 / EAGLE)
  3. Place the molecule in your schematic and connect the interface pins
  4. Use the 3D model (.glb) for mechanical fit verification

Design Notes

Board design files (.brd, .sch, .f3d) are available for modification and reference.

Sub-Skills
?
What are Sub-Skills?

Sub-skills are community-contributed AI skill extensions for this component. They teach AI assistants about specific tools, configurators, or workflows.

Examples:

  • A manufacturer’s configuration tool for a motor controller
  • A community-written design guide for an amplifier circuit
  • An automated test/validation script for a sensor module

How to add one: Click Add Sub-Skill, provide the URL to your skill and a brief description. Submissions are reviewed by the Adom team before going live.

No sub-skills yet. Be the first to contribute one!

0 revisions · Molecule #14322324034127837000 · Updated 2026-03-02 17:31:36