Project Data

DIMENSION

75

thousand tags

Organization and preparation of tags for system deployment

INTERFACES

+ of 10

systems

Interface with various plant systems in order to centralize information

ARCHITECTURE

Top

availability

Architecture using PI HA and redundant collection interfaces with network redundancy

Context and Challenges

Puma Project was the name given to the construction of a pulp mill that took place in Ortigueira, Paraná. This mill aimed to produce 1.5 million tons of short and long fibers per year. It generated 270MW of energy and sold 150MW of surplus energy. The objective of the PIMS PUMA project was to efficiently integrate information from all the systems that make up this plant, making the data available and centralized. The size of the project brought with it the following challenges:

  1. Dealing with the great diversity of equipment and systems, where 75,000 variables would be monitored
  2. Ensure systems interface and integration with several plants for information collection and monitoring (Schneider, Valmet, ABB, Siemens, Wedge, SAP, MII, SQL, BQM, RQM, LIMS)
  3. Build an architecture with high availability, collector redundancy and HA PI utilization
  4. Configure the network with redundancy for different subdomains

Solutions Used and Equipment Provided

We first had to understand the client's business and process, working with OSIsoft's IP platform to collect, organize and transform data into information.

We use PI Systems in its entirety with PI AF, Analysis, Future Date, Event Frames, Datalink, ProcessBook, Vision and Profile.

We have also developed some custom applications using PIMS as database and information centralizer.

PI AF was widely used in the PUMA project to organize tags and assets into elements, with relationships between them and hierarchies, thus allowing to differentiate variables by type and area.

The Analisys of PI System was used to treat the data and generate value information for the users.

Experts

PIMS Consultant

Diogo Castro

IT Technical Manager

Marcelo Simões Reis

MES and PIMS systems consultant

Ricardo Souza Lima

Whitepapers

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Puma: Optimizing the use of data to improve the performance of an industry

How PI System was used to improve data quality, assist in process analysis and optimize decision making by managers and operators

February 8, 2021

published by

PIMS Consultant

Diogo Castro

published by

IT Technical Manager

Marcelo Simões Reis

published by

MES and PIMS systems consultant

Ricardo Souza Lima

DIMENSION

75

thousand tags

Organization and preparation of tags for system deployment

INTERFACES

+ of 10

systems

Interface with various plant systems in order to centralize information

ARCHITECTURE

Top

availability

Architecture using PI HA and redundant collection interfaces with network redundancy

Puma Project was the name given to the construction of a pulp mill that took place in Ortigueira, Paraná. This mill aimed to produce 1.5 million tons of short and long fibers per year. It generated 270MW of energy and sold 150MW of surplus energy. The objective of the PIMS PUMA project was to efficiently integrate information from all the systems that make up this plant, making the data available and centralized. The size of the project brought with it the following challenges:

  1. Dealing with the great diversity of equipment and systems, where 75,000 variables would be monitored
  2. Ensure systems interface and integration with several plants for information collection and monitoring (Schneider, Valmet, ABB, Siemens, Wedge, SAP, MII, SQL, BQM, RQM, LIMS)
  3. Build an architecture with high availability, collector redundancy and HA PI utilization
  4. Configure the network with redundancy for different subdomains

Cases and Similar Articles

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