CBB8-18GS75-E2-V1 Pepperl+Fuchs Capacitive Proximity Switch 10-30V DC

CBB8-18GS75-E2-V1 Pepperl+Fuchs Capacitive Proximity Switch 10-30V DC

Product Overview

This sensor features an M18 threaded brass nickel-plated housing, an 8mm detection distance, and a normally open PNP output. It is designed for high-precision, non-contact detection in IIoT (Industrial Internet of Things) environments. Supporting the IO-Link V1.1 communication protocol, it retains traditional switch outputs while enabling real-time uploading of process data, equipment status, and diagnostic information. It is a core sensing element for predictive maintenance and digital factories, widely used in automotive parts, food and beverage, pharmaceutical machinery, and intelligent logistics systems.

Core Technical Parameters and Specifications

Basic Electrical Characteristics

| Parameter Item | Technical Specifications | Remarks |

| **Product Model** | CBB8-18GS75-E2-V1 | M18 Flush Mount, V1 Smart Version |

| **Detection Principle** | Capacitive + ASIC Chip | Compatible with IO-Link V1.1/1.0 |

| **Rated Detection Distance** | 8mm (Adjustable 4-12mm) | Suitable for Metallic and Non-metallic Media |

| **Power Supply Voltage** | 10-30V DC | With Reverse Polarity and Overvoltage Protection |

| **Output Type** | PNP Normally Open (NO) + IO-Link | 3-Wire/4-Wire Switchable |

| **Switching Current** | Maximum 200mA (≤50°C) | Derating Curve: 100mA@70°C |

| **IO-Link Interface** | Class A Port, COM3 (230.4kbps) | Supports SIO Mode |

| **No-load Current** | ≤15mA (IO-Link mode ≤25mA) | Energy-saving design |

**Response Time** | 2ms (switching) / 1ms (IO-Link) | High-speed detection mode selectable |

V1 Enhanced Features

1. IO-Link Intelligent Communication Capability
The CBB8-18GS75-E2-V1 achieves the following digital functions through the V1 firmware:

- **Process Data Visualization**: Real-time upload of detection distance (0.1mm resolution), echo amplitude, and temperature value

- **Remote Parameter Configuration**: Online adjustment of detection distance, hysteresis, and response time via PLC/HMI, without physical contact

- **Equipment Identification and Traceability**: Automatic upload of manufacturer, model, serial number, and firmware version to the MES system

- **Predictive Maintenance**: Monitoring sensor health status (runtime, switching count, temperature alarm), providing early warning of end-of-life

2. Intelligent Diagnosis and Event Logging

- **Diagnostic Data**: Low power supply voltage, overload, short circuit, overheating, and sensor surface contamination

- **Event Timestamp:** Records the last 100 state change events with an accuracy of 1ms.

**Quality Indicators:** Provides signal quality percentage, quantifying detection reliability.

**Teach-Lock:** Prevents unauthorized parameter modification, meeting GMP verification requirements.

3. Multi-Mode Operation

**SIO Mode:** Compatible with traditional PNP switch signals, operates without an IO-Link master station.

**IO-Link Mode:** Full-featured digital communication, supports periodic data exchange (1ms cycle).

**Combined Mode:** Switch output + IO-Link diagnostics in parallel, balancing real-time performance and intelligence.

Typical Application Scenarios
Intelligent Assembly Line Workpiece Inspection

**Application:** New energy vehicle battery module assembly, detecting whether the insulation film is in place.

**Solution:** The CBB8-18GS75-E2-V1 is installed on the robot fixture, and the IO-Link uploads the film thickness data to the PLC. When the detected value deviates from the standard range of ±0.2mm, the system automatically stops and prompts for fixture replacement. Compared to traditional switch-type solutions, this increases the defect detection rate from 95% to 99.8%, reducing rework costs by over 500,000 RMB annually.

Intelligent Filling Line Level Monitoring

**Application**: Infant formula bottling production line, non-contact detection of liquid levels inside glass jars.

**Solution**: Sensors penetrate 8mm glass walls, and IO-Link outputs real-time liquid level values. AI algorithms analyze liquid level fluctuation trends to predict the wear cycle of filling valves. When three consecutive instances of exceeding the filling tolerance are detected, a maintenance work order is automatically triggered, improving overall equipment efficiency (OEE) by 12%.

Product Images

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