Allen Bradley Inductive Smooth Barrel Proximity Sensor, 0.8 mm Detection, PNP NO, 10 → 30 V dc | 871C-DM1NP4-E2

Allen Bradley 871C series miniature inductive proximity sensors are self-contained, solid-state devices designed to sense the presence of ferrous and non-ferrous metal objects without touching them. These small-barrel sensors are designed for space-critical applications where standard-size sensors simply will not fit. IO-Link enabled sensors offer advanced features and diagnostics including Automatic Device Configuration, multiple profiles, trending, descriptive tags, and device-specific parameters

IO-Link communication

Three wire operation

3 conductor, 3-pin pico or 3 pin 6 in lead

3 mm, 4 mm, and 5 mm barrel diameters

10 V dc to 30 V dc

Normally open contacts

False pulse, transient noise, reverse polarity and short circuit protections

Are you looking for a smart component you can integrate with the Connected Enterprise? Choose this proximity sensor from Rockwell Automation’s Allen Bradley series. It features a built-in communication protocol enabling you to easily incorporate it into your existing system with an IO-Link master (817-1598). Once installed, you can create different device configuration profiles to minimise set-up time and improve productivity. The tough, corrosion-resistant stainless steel housing protects against impact damage and rust for prolonged use in demanding industrial conditions.

• Flexible 2m PVC cable provides a longer reach from control equipment
• Shielded design prevents signal interference by reducing electrical noise
• Wide operating temperature range between -25°C and +70°C to suit challenging environments
• Fast 5kHz switching frequency to sense metals and collect data quickly
• Small dimensions of 4 (D) x 25mm (L) suit applications where space is limited

• IEC 529
• CE Marked
• cULus
• NEMA 1, 2, 3, 4, 12 and 13

The Connected Enterprise is a management system that connects smart devices like this sensor to networks and processes. Doing so improves data collection and analysis so that you can make better operational decisions.