30 Measurement and Testing
New asset operations and optimisation solution that helps to improve production by enhancing
data analysis and shortening the trial-and-error cycle Yokogawa Electric Corporation announces that it has developed Process Data Analytics R1.02 software as a solution in Yokogawa’s OpreXTM Asset Operations and Optimisation family and will release it in November.
Process Data Analytics is a software package that can detect quality and productivity issues early in the manufacturing process by analysing data on processes, facility status, and operation history. Process Data Analytics R1.02 includes new functions for the import of data from plant information management systems (PIMS), configuration of data display settings, and capture of graph data that improve data analysis and shorten the trial-and-error cycle.
Product quality is affected by factors such as fluctuations in the quality of raw materials and the aging of manufacturing facilities. To help address such problems, manufacturers are turning to digital technologies and solutions such as AI, big data, and Industrial IoT (IIoT).
Yokogawa’s Process Data Analytics software uses the Mahalanobis Taguchi (MT) method to quickly and efficiently analyse temperature, pressure, flowrate, liquid level, and other process data from a PIMS; facility operation and maintenance status information; and operation history data. When used together with Yokogawa’s analytical services, this software can help to improve product quality. This method is a pattern-recognition technique that is named after Dr. P.C. Mahalanobis, who introduced the Mahalanobis
distance, which is a multivariate measurement scale based on the correlation among variables, and Dr. Genichi Taguchi, who was one of the key figures in the development of quality engineering.
Following the May 2017 release of Process Data Analytics R1.01, process engineers and data scientists from Yokogawa and its customers worked together to improve this product. Based on their findings, enhancements have been made to this software that enable the import and analysis of data from other vendors’ PIMSs, simplify and speed up the changing of settings and execution of calculations, and make it easier to prepare reports. These enhancements to the software improve operating efficiency, improve the quality of data analysis, and shorten the trial-and-error cycle.
At plants all over the world, a wide variety of data-gathering systems from different vendors are in use. For effective analysis, it is important to be able to access all the data collected by these systems. The Process Data Analytics software runs on Windows® PCs and accesses files from PIMSs, DCSs, and PLCs that have been converted to CSV format. Process Data Analytics R1.02 comes with an OPC historical data access (HDA) interface, which is the global standard for data exchange in industrial automation and other industries. Thanks to this feature, the software can easily import data from PIMSs that support this standard.
To make it easier to analyse data, Process Data Analytics R1.02 enables the overlay of multiple process data charts. Settings such as the data start point and the display colours can also now be easily modified depending on the manufacturing conditions. Benchmark tests conducted by Yokogawa analysts have shown that these features enable an 80% decrease in data analysis time.
To facilitate the exchange of data analysis results among engineers, Process Data Analytics R1.02 has a new function that enables engineers to capture graphs showing their analysis results and paste this data into any general-purpose reporting software. This eliminates the need to reproduce these graphs and allows analysts to focus their efforts on studying and discussing analysis results.
Manufacturers all have the need to access and analyse field data to improve quality and productivity, and are turning to cloud computing, AI, big data, the IIoT, and other advanced technologies and solutions to address this need. To satisfy such needs, and thereby help its customers improve product quality, Yokogawa will continue its efforts to develop products that utilise these technologies and solutions.
OpreX is the comprehensive brand for Yokogawa’s industrial automation (IA) and control business. The OpreX name stands for excellence in the technologies and solutions that Yokogawa cultivates through the co-creation of value with its customers, and encompasses the entire range of Yokogawa’s IA products, services, and solutions. This brand comprises the following five categories: OpreX Transformation, OpreX Control, OpreX Measurement, OpreX Execution, and OpreX Lifecycle. Process Data Analytics, an OpreX Asset Operations and Optimization family solution in the OpreX Transformation category, delivers operational excellence throughout an enterprise’s activities, from production through to supply chain optimisation and risk and business management.
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The solution for measuring both organic and inorganic compounds instantly
SIFT-MS (Selected Ion Flow- tube Mass Spectrometry) boasts a real-time air analysis solution down to trace levels for nearly all organic and inorganic compounds. SIFT-MS appeals to users of time- consuming chromatographic analytical methods who are searching for an all-in-one, simple, and fast solution. These attributes set the instrumentation apart from traditional methods, allowing even those without a scientific background to perform highly sensitive and selective analysis at the push of a button.
Environmental applications for SIFT-MS range from fenceline monitoring and stack analysis, to indoor air quality and off-site projects. A range of these are discussed by our industry experts in a recent webinar onlineat the Syft Technologies website.
SIFT-MS differs from the traditional mass spectrometry by incorporating the same sensitivity levels as GC-MS, but with speed of low-sensitivity spectroscopic techniques. Syft Technologies frequently hosts online workshops where attendees can see the instrument being utilised in a live setting, in particular its environmental applications.
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Presentations highlight the expanding use of advanced analytics to find insights in production data sets for process manufacturers
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The information is also available in hard copy. Visit our website to find out more. Topics covered include: • Industrial Pollution Control • Air Quality and Air Pollution, Climate Change, Transport Pollution • Environmental and Neighbourhood Noise, Statutory Nuisance • Local Environmental Quality
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Seeq, a leading provider of advanced analytics solutions for process manufacturing companies was a Gold Sponsor at OSIsoft PI World Barcelona, the largest gathering of OSIsoft customers and partners outside the United States. Seeq builds on machine learning and big data technologies to speed time to insight for diagnostic, descriptive, and predictive analytics. Seeq presentations and partner discussions will cover results typical of the benefits Seeq customers are realising in the oil and gas, power, pharmaceutical, chemical, energy, mining, food and beverage, and other process industries.
• Waste Management, Land Quality, Contaminated Land
• Water Pollution, Marine Pollution, Pesticides and Agricultural Pollution
• Sustainable Development, Land Use Planning.
In addition to the Gold Sponsorship of PI World and having presentations in the Oil and Gas and Marketplace tracks, several of Seeq’s European partners showcased their support efforts for Seeq as system integrators and independent software vendors. Seeq’s partner network now includes dozens of partners on six of the seven continents.
Seeq presentations also included a shared session with OSIsoft in the Oil and Gas industry track, with Seeq CTO Brian Parsonnet discussing use cases for Seeq.
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