Brainboxes BB-400, Raspberry Pi Compute Module 3+, 1 GB LPDDR2, 32 GB eMMC, Wi-Fi, RJ-45, Bluetooth, NFC, 5-30V DC, 120x99x45 mm

Brainboxes BB-400, Raspberry Pi Compute Module 3+, 1 GB LPDDR2, 32 GB eMMC, Wi-Fi, RJ-45, Bluetooth, NFC, 5-30V DC, 120x99x45 mm

MPN BB-400

EAN / UPC 837324004441

Niveau de stock

Combining industrial hardware connections with the processing power of a Raspberry Pi Compute Module 3+ the BB-400 NeuronEdge gives you the possibilities of open source software in a simple retrofit way, unlocking the potential of your equipment.

The BB-400 NeuronEdge combines Brainboxes proven IO and serial connectivity with a range of network connections to allow data to flow to the application of your choice. The innovative design uses a Raspberry Pi Compute module and an Arduino to ...

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  • Industrial Edge Controller, powered by an industrialised Raspberry Pi and Arduino

  • Multiple connections within compact DIN mount design

  • Comes with easy to use secure web interface

  • Process data locally and send to the cloud. Use our built in software or write your own with open source tools

  • Develop on Pi and deploy seamlessly to Industry

  • 25°C to +80°C op temp range, 5-30VDC dual power input with built in mini UPS, DIN rail mountable

Caractéristiques BB-400

Conditions environnementales

Température d'opération

-25 - 80 °C

Température hors fonctionnement

-40 - 85 °C

Connectivité

Nombre de port ethernet LAN (RJ-45)

2

Détails techniques

Code du système harmonisé

85176990

Fréquence du processeur

1200 MHz

Intégré dans le processeur

Oui

Nombre de processeurs installés

1

Wifi

Oui

Données logistiques

Code du système harmonisé

85176990

Écran

Unité d'affichage de contrôle

Non

Logiciel

Systèmes d'exploitation compatibles

Raspberry Pi Android Linux

Mémoire

Mémoire flash

32000 Mo

Mémoire interne

1024 Mo

Type de mémoire interne

DDR2

Package dimensions (verified)

Depth Verified

13,6 cm

Gross Weight Verified

0,338 kg

Height Verified

5,4 cm

Width Verified

15,5 cm

Product dimensions

Height (product,cm)

4,5 cm

Net Weight (Product, kg)

0,23 kg

Product Depth

9,9 cm

Product Width

12 cm

Puissance

Consommation électrique typique

4 Watt

Tension d'entrée

5 - 30 V

représentation / réalisation

Fréquence du processeur

1200 MHz

Intégré dans le processeur

Oui

Mémoire flash

32000 Mo

Mémoire interne

1024 Mo

Nombre de processeurs installés

1

Type de mémoire interne

DDR2

Unité d'affichage de contrôle

Non

Réseau

Bande de fréquence

2.45 GHz

LAN Ethernet : taux de transfert des données

10/100 Mbit/s

Standards réseau

IEEE 802.11b/IEEE 802.11g/IEEE 802.11n

Wifi

Oui

Vendor information

Brand Name

Homepage

http://www.brainboxes.com/product/bb-400/neuron-edge-industrial-controller-8-dio-rs232-422-485-serial-bt-wifi-nfc-2-ethernet

Warranty

99 Année (s)

Description

BB-400, Raspberry Pi Compute Module 3+, 1 GB LPDDR2, 32 GB eMMC, Wi-Fi, RJ-45, Bluetooth, NFC, 5-30V DC, 120x99x45 mm

Combining industrial hardware connections with the processing power of a Raspberry Pi Compute Module 3+ the BB-400 NeuronEdge gives you the possibilities of open source software in a simple retrofit way, unlocking the potential of your equipment.

The BB-400 NeuronEdge combines Brainboxes proven IO and serial connectivity with a range of network connections to allow data to flow to the application of your choice. The innovative design uses a Raspberry Pi Compute module and an Arduino to provide edge processing. The Pi is supported by a power management system, including a UPS, making it match the robust demands of industry. This allows you to develop on Raspberry Pi and deploy seamlessly to the factory floor.

Multiple hardware interfaces allow for communication with many different types of equipment and machinery. Use Ethernet, Bluetooth, IO, Wi-Fi, NFC, USB, RS232/422/485 to interface with many different types of device from the compact BB-400.

The device offers the flexibility of PC systems with open source API programming options to make integration and customisation user friendly. Combining insights from machinery of all types and ages can be done through a preferred programming language, such as C# and Python or visually in Node-RED, circumventing many of the interoperability issues that have traditionally hampered integrated automation.

*Les données produit ci-dessus sont fournies par Icecat. A cet égard, EET ne peut être tenu responsable des erreurs.

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