Appendix B, Data computations

B.1 Data acquisition

Every second, exactly 50 equally-spaced data samples are taken (i.e., one data sample every 20 milliseconds) for analysis by the controller assembly.

As a part of the data acquisition process, groups of incoming data samples are averaged together before the result is stored for processing. Non- overlapping groups of N samples are averaged and stored, and thus reduce the effective incoming data rate to 40/N samples per second. For example, if N = 5, then a total of 40/5 or 6 (averaged) data samples are stored every second.

The value for the variable N is determined by the selection of a Peak Width parameter (PW). The relationship is:

N = PW

where PW is given in seconds. Allowable values of N are 1 to 63; this range corresponds to PW values of 2 to 63 seconds.

The variable N is known as the integration factor. This term is used because N determines how many points are averaged, or integrated, to form a single value. The integration of data upon input, before storing, serves two purposes:

The statistical noise on the input signal is reduced by the square root of N. In the case of N = 4, a noise reduction of two would be realized.

The integration factor controls the bandwidth of the chromatograph signal. It is necessary to match the bandwidth of the input signal to that of the analysis algorithms in the controller assembly. This prevents small, short-duration perturbations from being recognized as true peaks by the program. It is therefore important to choose a Peak Width that corresponds to the narrowest peak in the group under consideration.

B-1

Page 406
Image 406
Emerson Process Management 3-9000-745 manual Appendix B, Data computations, Data acquisition

3-9000-745 specifications

Emerson Process Management is a leading provider of automation solutions, offering a range of products designed to streamline operations and enhance productivity in various industrial sectors. One of their notable offerings is the 3-9000-745 model, a versatile and robust device that exemplifies Emerson's commitment to innovation and efficiency.

The 3-9000-745 is primarily known for its application in process control and monitoring. It is engineered to manage operations in dynamic environments where real-time data is critical. This device features advanced control algorithms that allow for precise regulation of processes, ensuring optimal performance and minimal downtime. Its reliability makes it ideal for industries such as oil and gas, chemicals, water treatment, and manufacturing.

One of the key technologies integrated into the 3-9000-745 is advanced analytics. This technology leverages data collected from various sensors and devices to provide insightful analysis regarding operational efficiency. With this capability, users can make informed decisions and forecast maintenance needs, thus reducing operational costs and improving productivity.

The communication capabilities of the 3-9000-745 are also noteworthy. It supports multiple communication protocols, which allows for seamless integration with existing systems, enhancing interoperability within a facility. This feature is particularly beneficial for organizations looking to modernize their infrastructure without overhauling their entire process control system.

In terms of user interface, the 3-9000-745 is designed with ease of use in mind. It includes a user-friendly interface that simplifies configuration and monitoring processes. The intuitive dashboard provides real-time insights and alerts, allowing operators to respond swiftly to any anomalies detected in the system.

Durability and ruggedness are additional characteristics that set the 3-9000-745 apart. Designed for harsh industrial environments, it meets stringent safety and regulatory standards, ensuring reliable operation even in challenging conditions. This reliability contributes to minimized downtime, maximizing productivity and efficiency.

In conclusion, the Emerson Process Management 3-9000-745 stands out as a comprehensive solution for process control and monitoring. With its advanced analytics, robust communication capabilities, user-friendly interface, and durability, it effectively addresses the diverse needs of modern industries, contributing to greater operational efficiency and sustainability.