BNC-16DI

The BNC-16DI incorporates 16 front panel mounted BNC’s allowing connection of up to 8 differential analog inputs to the CIO-DAS and PCI family of data acquisition boards. The BNC-16DI can accommodate boards with either 37 or 50 pin I/O connectors; with connector P2 used to interface to data acquisition boards utilizing a 37 pin, D type I/O connector, while connectors P3, P4 and P5 are used to interface to data acquisition boards utilizing a 100 pin I/O connector.

B1-B16

The 16 front panel mounted BNC connectors B1-16, are routed through the enclosure to the rear panel-mounted connectors P2, P3, and P4.

P2

Connector P2 “IN” is a 37 pin D connector which provides the connection between the 16 analog input BNC’s to data acquisition boards utilizing a 37 pin, D type I/O connector.

P3

Connector P3 “IN” is a 50 pin connector which provides the connection between the 16 analog input BNC’s to data acquisition boa rds utilizing a 100 pin I/O connector.

P4 & P5

Connector P4 “IN” is a 50 pin connector which provides the connection of the first 8 differential analog input channels to a 32 channel differential data acquisition board. When P4 is used in conjunction with 50 pin connector P5 “OUT”, the user can daisy chain multiple BNC-16DI boxes, allowing connection of up to 32 differential analog input channels to a single 32 channel differential DAS board (see the diagram on the next page for daisy chain connection scheme).

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Omega Engineering BNC-08DI, BNC-16DI, BNC-16SE manual P4 & P5

BNC-08DI, BNC-16DI, BNC-16SE, BNC-08DI specifications

Omega Engineering has made significant strides in industrial measurement and control solutions, particularly with their series of data acquisition and control devices, such as the BNC-08DI, BNC-08DI, BNC-16DI, and BNC-16SE. Each of these models represents advanced technology designed to meet various industrial applications, offering reliability, versatility, and ease of use.

The BNC-08DI is a compact, high-performance data acquisition module designed for managing digital signals from eight channels. Its primary feature is the ability to interface with a variety of sensors, enabling the monitoring and control of processes efficiently. The device boasts a robust design suitable for harsh environments, making it ideal for industrial applications. The BNC-08DI supports a variety of input types, ensuring compatibility with many sensor styles.

Similarly, the BNC-16DI expands this capability by managing up to sixteen digital inputs, making it suitable for larger installations. This module features integrated signal conditioning, which enhances the accuracy of readings by filtering noise from digital signals. Its user-friendly interface and flexible configuration options allow engineers to tailor the device’s operation to specific project needs. With its enhanced channel count, the BNC-16DI is often employed where detailed monitoring of multiple variables is crucial.

On the other hand, the BNC-16SE model focuses on the needs of systems requiring both digital input and output capabilities. This dual-functionality makes the BNC-16SE particularly valuable in automation and control environments, where real-time data acquisition and responsive control are paramount. The device presents a seamless integration with various communication protocols, enabling easy interfacing with industry-standard automation systems.

Key technologies employed in these devices include high-speed processing capabilities for rapid data acquisition and advanced signal processing algorithms that ensure high reliability and accuracy of measurements. Their construction emphasizes durability and long-term performance, featuring robust connectors and enclosures that withstand environmental challenges.

Overall, the Omega Engineering BNC-08DI, BNC-16DI, and BNC-16SE models represent cutting-edge solutions for industrial applications. Their combination of functionality, flexibility, and rugged design makes them indispensable tools for engineers working across various sectors, including manufacturing, process control, and automation. Each model contributes to enhanced operational efficiency, allowing organizations to achieve precise monitoring and control of critical parameters in their processes.