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Which information is required in produciton automation? 


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The information required in production automation includes ensuring the consistency of information, extracting required information from unstructured data sources, identifying potential information contradictions, and tracking information changes during the system design process . Additionally, the development of a new information model for automation is crucial for standardization and information integration in multi-vendor plants . Automation equipment, consisting of hardware and software, is used to implement production automation systems, and it plays a vital role in improving the management of gas well operations . The automation system for an existing production line involves controlling and monitoring the production processes using an industrial computer, sensors, and electronically controlled valves . The aim is to minimize costs by sourcing cost-effective components that comply with the system's requirements .

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The paper does not explicitly mention the specific information required in production automation.
The paper mentions that the automation system for the production line requires an industrial computer, sensors for flow, pressure, and fluid level, and electronically controlled valves. It also mentions the need for remote access to control and monitor the production line.
The paper discusses the automation equipment used in production automation systems and provides information about the available components and insights into what works well. However, it does not specifically mention the information required in production automation.
The paper does not explicitly mention the specific information required in production automation. The paper focuses on the challenges of ensuring consistency in information and proposes an ontology-based approach to manage inconsistencies in large-scale production systems.
The paper does not explicitly mention the specific information required in production automation. The paper focuses on the challenges of ensuring consistency in information and proposes an ontology-based approach to manage inconsistencies in large-scale production systems.

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