
BarometricPressureSensor
cdennis3223/BarometerArray
Capstone Project in collaboration with Sam Bower, Utilizing ESP32 controlled devices to measure fast changing barometric pressure in an arrayed pattern with time correlated data.

Capstone Project in collaboration with Sam Bower, Utilizing ESP32 controlled devices to measure fast changing barometric pressure in an arrayed pattern with time correlated data.
UserInterface is an open-source printed circuit board by cdennis3223, from the cdennis3223/BarometerArray repository on GitHub. It is a 2-layer board of 92.7 × 33 mm with 9 parts on 31 nets, routed with 22 tracks and 0 vias.
It is built around the B6B-PH-K-S-GW.
| Qty | Value | Footprint | References |
|---|---|---|---|
| 2 | B6B-PH-K-S | B6B_PH_K_S:JST_B6B-PH-K-S | DPSext1, MainBoard1 |
| 1 | B3B-PH-K-S | B3B_PH_K_S:JST_B3B-PH-K-S | J9 |
| 1 | Conn_01x12 | Connector_PinSocket_2.54mm:PinSocket_1x12_P2.54mm_Vertical | J2 |
| 1 | Conn_01x16 | Connector_PinSocket_2.54mm:PinSocket_1x16_P2.54mm_Vertical | J3 |
The 5 most common of 9 parts.
It measures 92.7 × 33 mm and has 2 copper layers, 1.6 mm thick.
9 parts, built around the B6B-PH-K-S-GW. The full list of its parts is on this page, with links to each part's symbol and footprint where PCBKit's library has them.
From the cdennis3223/BarometerArray repository on GitHub, at the commit this page was made from: the board is PCB/UserInterface.kicad_pcb and its schematic PCB/BarometricPressureSensor.kicad_sch. PCBKit opens the board in the browser, with nothing to install.
Its repository states no licence, so its author keeps all rights: ask cdennis3223 before reusing the design.

cdennis3223/BarometerArray
Capstone Project in collaboration with Sam Bower, Utilizing ESP32 controlled devices to measure fast changing barometric pressure in an arrayed pattern with time correlated data.

cdennis3223/BarometerArray
Capstone Project in collaboration with Sam Bower, Utilizing ESP32 controlled devices to measure fast changing barometric pressure in an arrayed pattern with time correlated data.

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