Process Data Store: A Real-Time Data Store for Monitoring Business Processes

Author(s):  
Josef Schiefer ◽  
Beate List ◽  
Robert M. Bruckner
2013 ◽  
Vol 278-280 ◽  
pp. 831-834 ◽  
Author(s):  
Xiao Sun ◽  
Hao Zhou ◽  
Xiang Jiang Lu ◽  
Yong Yang

This paper designed a motor winding testing system, it can do the dielectric withstand voltage test of inter-turn under 30kV.The system can communicate effectively between PC and machine, by using the PC's powerful capacity of process data and PLC's better stability and the Labview's convenient UI. So the system has real-time data collection, preservation, analysis and other characteristics. This system is able to achieve factory testing and type testing of the motor windings facilitating. Various performance indicators were stable and reliable by field test during a long time.


2011 ◽  
pp. 279-291
Author(s):  
S.R. Balasundaram ◽  
B. Ramadoss

The rapidly changing nature of business environments requires organizations to be more flexible to gain competitive advantages. Organizations are turning into a new generation of software called Enterprise Application Integration (EAI) to fully integrate business processes. It is an activity that integrates and harmonizes an enterprise’s isolated business applications, processes and functions involving real time data. Developing quality EAI projects is quite a big challenge. Even though success of EAI projects depends on so many parameters, ‘testing’ is the most significant phase that can ensure the quality as well as the success of EAI projects. Components integrated without testing in EAI systems may affect the enterprise system as a whole. This chapter focuses on the testing aspects related to EAI applications. Especially the significance of testing for various types of “Integrations” is discussed in detail.


2021 ◽  
Author(s):  
Afdzal Hizamal Abu Bakar ◽  
Muhamad Nasri Jamaluddin ◽  
Rizwan Musa ◽  
Roberto Fuenmayor ◽  
Rajesh Trivedi ◽  
...  

Abstract PETRONAS Upstream is cognizant of the need to provide a unified digital production platform to the entire upstream community. The digital platform enables the community to perform analytical, collaborative monitoring & surveillance, and optimization to sustain production and improve our operations. Digital Fields (DF) is a modern digital platform, integrating data and analytical services, that provides smarter insights and shed light on potential insights that contribute to better-informed decision-making and improves the way of working. A big data ecosystem and strong infrastructure is the foundation of this digital platform, allied to existing business processes, it allows frictionless secure flow of data, high performance, scalability to support business operations. Digital Fields platform provides the following features: Scalable to all PETRONAS fields operated in Malaysia as well as International assets Solution architecture that allows fast implementation of new solutions and insights A common company-wide platform with the same familiar user interface and user experience The critical aspect to liven up a digital production platform is to identify first the available data sources. Some fields have the luxury of transmitters and sensors installed at the well head, topside facilities and export pipelines where the data can be easily retrieved from the SCADA system for data acquisition. Some other fields with less real-time data luxury would keep their operational data inside some operational reporting documents. A smart report ingestion solution was developed with the means to transform unstructured data from the operational reports, which empowers the users with multiple options for data upload and consumption while ensuring a single, traceable and auditable source of truth. Digital Fields leverages the combination of Daily Operation Reports (DOR), data with different frequency, such as real-time data, with engineering models changing the way the users consume data and provides proactive actionable insights to accelerate tangible values for the business organization. The solution establishes the foundational digital capabilities for field operations and speeds up data-driven value opportunities from operational data and analytics at scale.


2013 ◽  
Vol 385-386 ◽  
pp. 1655-1658
Author(s):  
Da Hua Li ◽  
Hang Li ◽  
Kai Lin Zhang

The submitting of OPC (OLE for Process Control) has promoted the progress of the data collection in process control and industrial automation, and formulated the industry standard for the process real-time data exchange. Aiming at the key problem of ensuring the use of application program as OPC client to link multi-remote OPC server and real-time collect process data in control system, OPC technology and the connection and access technology of multi-remote OPC server were introduced and analyzed in detail. This method has been successfully applied to develop the DCS I/O communication and control loop error test software, and provided better performance.


2012 ◽  
Vol 430-432 ◽  
pp. 1298-1301
Author(s):  
Xiao Jian Zheng

Most existing real-time data compressing algorithms are focused on dynamic and inconstancy of the process data, but a basic observation is ignored with some unexpectedness: on condition that sampling interval is not large, difference between amplitudes of real-time process data from two neighboring samples is relatively small, and most of data amplitudes are in the same range. In this paper we propose a compression algorithm based on the observation and experimentally evaluate the proposed approach and demonstrate that our algorithm is promising and efficient.


Author(s):  
Maciej Lasota ◽  
◽  
Stanisław Deniziak ◽  
Arkadiusz Chrobot

Author(s):  
S.R. Balasundaram ◽  
B. Ramadoss

The rapidly changing nature of business environments requires organizations to be more flexible to gain competitive advantages. Organizations are turning into a new generation of software called Enterprise Application Integration (EAI) to fully integrate business processes. It is an activity that integrates and harmonizes an enterprise’s isolated business applications, processes and functions involving real time data. Developing quality EAI projects is quite a big challenge. Even though success of EAI projects depends on so many parameters, ‘testing’ is the most significant phase that can ensure the quality as well as the success of EAI projects. Components integrated without testing in EAI systems may affect the enterprise system as a whole. This chapter focuses on the testing aspects related to EAI applications. Especially the significance of testing for various types of “Integrations” is discussed in detail.


Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 399-P
Author(s):  
ANN MARIE HASSE ◽  
RIFKA SCHULMAN ◽  
TORI CALDER

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