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Air Liquide uses conditional bridging for robust control

A recent article in CONTROL magazine tells how engineers at Air Liquide now have a standard way to connect the company’s air separation units.  These units need to work with a variety of distributed control systems in a number of locations. The challenge was to build a system flexible enough to connect to the different control systems without having to reconfigure each of them.

Using the Bridging interface in Skkynet’s DataHub industrial middleware, along with a custom DataHub script created in collaboration with Software Toolbox, Air Liquide has successfully installed their first system, and now plans to expand to more locations in a standard way.

“When Air Liquide shared their requirements with us, the DataHub came immediately to mind as the easiest and most reliable approach,” said Win Worrall of Software Toolbox, who worked closely with the engineering team.

Case Study: Coca-Cola Bottler, Ireland

State-of-the-art Coca-Cola plant uses DataHub scripts to integrate alarm data and reports.

One of the largest soft drink manufacturing plants in the world, Coca-Cola’s Ballina Beverages facility, recently installed the DataHub® from Cogent Real-Time Systems (Skkynet’s subsidiary), to log alarm data and create end-of-shift reports. The 62,000 square meter plant, located in Ballina, Ireland, uses the most up-to-date manufacturing automation systems available, and management is constantly looking for ways to improve them.

Some of the equipment used at Ballina Beverages is designed and manfactured by Odenberg Engineering. Odenberg, in turn, relies on their subsidiary, Tricon Automation to handle the process control of the machinery.

In a recent upgrade to the system, the Odenberg/Tricon team chose the DataHub to construct custom log files to track and archive their alarms. They wanted to combine the live data from each triggered alarm with a text description of the alarm, and then log the results to a file. The alarms were being generated by an Allen-Bradley system from Rockwell Automation Inc., and the 1500 alarm descriptions were stored in an Excel spreadsheet. Each row of the final log would have to combine the time, date, and code of a triggered alarm with the corresponding description of that alarm.

After considering several different scenarios, the most effective approach was to connect the DataHub to Rockwell Automation’s RSLinx using its OPC server, and then to read in the alarm condition strings from a text file (instead of from the spreadsheet), using a DataHub script. The same script writes the data to the log file. This works so well that they decided to use another script to create end-of-shift reports.

“We got the basic system up and running in a few hours,” said Gus Phipps, team member from Odenberg, “which was good, because we were working under a tight deadline. Cogent helped us out with the DataHub scripting, but we were able to do most of the work ourselves. It went surprisingly quickly.”

“Using the DataHub’s scripting language let us customize it to exactly meet our needs,” said George Black, Tricon’s project manager. “It is very flexible, and yet completely robust. It is months now since the project was completed, and the DataHub continues working away merrily every day, just doing its job. We plan to use it again in other projects very soon.”

Case Study: Mukhaizna Oil Field, Oman

Optimizing OPC connections with the DataHub

In 2005 the Sultanate of Oman issued a Royal Decree to develop the giant Mukhaizna oil field covering a vast expanse of desert in the center and south of the country. A major worldwide producer of oil, natural gas, and chemicals was given responsibility for developing the Mukhaizna field, and from 2005 to 2008 oil recovery rates were increased by more than 600% through the use of a steam-assisted gravity drainage process. As each year goes by, the company makes every effort to continuously upgrade technology and improve productivity of the field.

Eight separate production facilities in the Mukhaizna oil field are using Rockwell PLCs, linked to Iconics HMI/SCADA systems for data visualization and operator control. This data collection and distribution mechanism worked well when first implemented, but as the number of data points increased over time it became clear to the project engineers that they needed a way to improve performance. So they began to look for a way to streamline the data flow. The solution they found not only performed well, but it created other, significant opportunities for real-time data integration.

Software Toolbox logo

At each of the eight locations, Rockwell PLCs are connected to an Iconics Genesis32 HMI through an OPC server. The TOP Server OPC server from Software Toolbox (Cogent’s Sales and Technical Partner) gathers data from as many as 20 PLCs, and feeds that to the HMI. As new equipment was brought online, the number of tags in the system approached 30,000, which is normally not a problem for TOP Server. But something was clearly different with this system and it became apparent that some sort of optimization was necessary.

Optimization

The problem was that the HMI was forcing the TOP Server to make device reads, which bypassed TOP Server’s optimization at the device level. Device reads by an OPC client are intended to cause the OPC server to get the information and reply back to the OPC client before doing anything else. While these types of calls are useful in critical situations, all communication optimization has to be done through full system design. The HMI was also requesting updates on groups of OPC tags as it needed them, but these groups were often in a different logical order than how the data points were represented on the PLC. The combined effect was forcing the TOP Server to make more requests for smaller amounts of data, slowing the data-gathering process.

“The OPC server seemed to be dying under the load,” said Juan Munoz, Project Manager for the Mukhaizna oil field project. “Even at rates as low as once per second, it was difficult to scan 30,000 tags, and get the critical data changes that we needed.” Based on his experience with the TOP Server in other projects, Mr. Munoz knew the server itself was not the issue, so he searched the Software Toolbox website for a solution and found the Cogent DataHub®.

The DataHub, developed by Cogent Real-Time Systems (a subsidiary of Skkynet), is a highly optimized data integration tool. It is a memory resident real-time database that provides quick, reliable and secure access to valuable process data and makes it available to other production and management systems, database archives, and remote clients.

Once he started configuring the DataHub, Mr. Munoz soon realized how it could solve his data flow problem. Acting as an OPC client to TOP Server, the DataHub can request data based on tag value changes (referred to as “asynchronous advise”). This means that instead of 30,000 tags per second, TOP Server only sends data for a tag when it changes value. It is free to poll the devices in the most efficient way, always keeping the DataHub up to date with the latest data values. The DataHub keeps all the latest tag values in memory, and can efficiently send them to the HMI on each poll.

“The DataHub effectively decouples the OPC server from the client,” said Mr. Munoz. “All the load is on the DataHub’s shoulders now, and the performance is much better.” The TOP Server is now free to optimize the communications to the device while the DataHub protects it from device reads. This has relieved the company from having to redesign their HMI and PLC configurations from the ground up, saving them tens of thousands of dollars in engineering and development work.

When he was satisfied with the results at the first location, Mr. Munoz began installing the DataHub at the seven other facilities. He experienced a similar performance boost, and at the same time created a new data integration opportunity. He now had most of the pieces in place to bring all of the live production data to a central location, using OPC tunnelling.

OPC tunnelling

OPC tunnelling is a reliable and secure way to connect OPC servers and clients over a network. OPC DA uses DCOM for networking, which is difficult to configure, does not respond well to network breaks, and can pose significant security risks. The DataHub mirrors data from OPC servers and clients over TCP, which is a more robust protocol for networking.

To implement OPC tunnelling, Mr. Munoz installed another DataHub on a Windows server at the Mukhaizna oil field central office. After configuring tunnelling connections between that DataHub and the remote DataHubs, he was able to access the data from all eight field locations as a single, common data set, without putting any more load on his control system. This data could now be logged and shared at the management level of the company.

Using the DataHub’s database interface, Mr. Munoz configured connections to OSIsoft PI and SQL Server databases, to record production data at the remote sites and at the central office. Historical records and reports are now available through standard tools such as SQL and Crystal Reports. Mr. Munoz also configured an OPC connection from the central DataHub to an Iconics Web HMI to give managers access to the live data from all of the eight field sites. Operators, on the other hand, continue to control the processes from the HMIs running at the remote locations.

Among the critical information that operators and management need to monitor is the available memory and status of programs running at each field location. The company was able to achieve this by configuring the DataHub’s System Monitor feature, which allowed Mr. Munoz to add points that monitor the available computer memory and status of the OPC server running at each remote location. This data is accessed locally by operators, and is also tunnelled back to the central DataHub, so it can be viewed by users of the Web HMI on the management network.

“The DataHub is very easy to use,” said Mr. Munoz. “In fact, at a recent training session we showed some other people at the company what we are doing, and they are very impressed.”

Redundancy

The most recent project that Mr. Munoz has decided to tackle with the DataHub is to implement redundancy. To provide increased availability, the company has installed an additional OPC server at some locations. Working with Win Worrall, Product Support Engineer and Developer at Software Toolbox, Mr. Munoz has implemented redundancy in the DataHub to monitor the quality of the data coming from the local OPC server.

If the quality of an indicator changes to “Bad” or “Not Connected” on the primary OPC server, DataHub immediately switches to the redundant OPC server and continues collecting data from there. Although this is currently undergoing testing before being implemented in the production facility, Mr. Munoz reports that there is no data loss during the switchover, and that the performance is very reliable.

Scripting

To gain maximum value from the DataHub, Mr. Munoz has developed a working knowledge of the DataHub Scripting feature. “The scripting language did take a little time to learn, but it is very useful for the types of scripts we need to use. We can develop scripts quickly now, because the language is object oriented.”

Starting with a demo script from the DataHub archive, Mr. Munoz has been able to access data from a legacy UNIX system and make it available through OPC. To access the data, Mr. Munoz wrote a DataHub script to read a CSV file every minute and write the values to points in the DataHub. Because the DataHub is also an OPC server, this allows points from the UNIX system to be presented as OPC tags to the HMI system.

“I am impressed with how quickly Juan has picked up the scripting,” said Mr. Worrall. “In fact, he’s pretty good at getting the most out of the DataHub in just about every way.” “We are very grateful to Win and the overall support from Software Toolbox on this project,” said Mr. Munoz. “We haven’t found many problems. In all aspects, the DataHub is performing very well.”

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