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Amphenol PS1-NO2-5-MOD

Produttore
Cod. Prod.
PS1-NO2-5-MOD
Cod. LCSC
C6953607
Imballo
-
Numero Cliente
Attr. chiave
0ppm~5ppm ±5% Nitrogen Dioxide UART Gas Sensors RoHS
Scheda TecnicaAmphenol PS1-NO2-5-MOD
Garanzia su ogni ordine
100% Autentico · Reso o Sostituzione entro 30 Giorni
Esaurito
Avvisami
Minimo: 1Multiplo: 1Unità di vendita: Piece
Aggiungi alla Lista BOM
QtàPr. unit.(Solo per riferimento)Importo totale
1+$ 429.3328$ 429.33
200+$ 171.3071$ 34261.42
500+$ 165.5828$ 82791.40
1,000+$ 162.7542$ 162754.20
Package Standard1/Full Bag
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Specifiche del Prodotto

Tutto
TipoDescrizione
CategoriaSensors, Transducers/Gas Sensors
ProduttoreAmphenol
Imballo-
Width30mm
Measurement Range0ppm~5ppm
Tolerance±5%
Length40mm
Diameter (φD)-
TypeNitrogen Dioxide
InterfaceUART
Working current-
Pitch-
Height12mm
working voltage3.3V~5.5V
working temperature-40℃~+55℃
Features-

Descrizione

Traduzione AI

The PS1&PS4-MOD series nitrogen dioxide modules perfectly integrate sensors with advanced PCBs. The gas sensor employs revolutionary "solid polymer electrolyte" technology based on catalytic reaction principles. The target gas generates a micro-current proportional to its concentration. This technology delivers a stable, high-quality, and cost-effective manufacturing process. The module features a standard UART digital output for ease of operation, requiring no knowledge of sensor applications or tedious calibration work.

Caratteristiche

Traduzione AI
  • Sleep function for low-power IoT applications
  • Combined with intelligent algorithms for enhanced environmental adaptability, more accurate detection, and stable zero point
  • Excellent anti-poisoning performance, no chemical material consumption, service life exceeding 5 years
  • Novel microcircuit design with strong EMI immunity
  • Fast response, fast recovery to zero, plug-and-play
  • Independent digital temperature and humidity sensor output
  • Smallest size and lowest power consumption in the electrochemical field
  • RoHS compliant design

Applicazioni

Traduzione AI
  • Industrial process NO₂ monitoring
  • Monitoring applications in cultural heritage preservation
  • Chemical and power industry applications
  • Atmospheric environmental monitoring