OAS

What is OAS?

OAS (Open Automation Software) is a powerful industrial automation software platform that leverages open standards to connect hardware devices, control systems, and enterprise applications. Its primary goal is to eliminate the 'information silos' found in traditional automation systems, enabling seamless data flow and interoperability across various systems.

Benefits of OAS

The OAS platform offers a powerful set of features designed to simplify industrial automation processes, enabling users to customize their business applications flexibly based on an open system. The advantages of OAS include the following:

The ISSU process includes the following stages:

• Scalability: OAS accommodates increasing data and operational expansion without compromising performance. It supports scalability from small devices to large industrial networks.

• Real-Time Data Access: With OAS, users can access and analyze data in real time, enabling informed decision-making and rapid responses to changing conditions.

• Cross-Platform Compatibility: OAS supports a wide range of devices, platforms, and communication protocols (such as OPC UA, MQTT, Modbus, etc.), ensuring seamless integration and communication across different systems.

• Enhanced Security: The platform provides robust security measures to protect sensitive data and maintain system integrity.

• Ease of Use: A user-friendly interface that simplifies configuration, making it accessible even for non-technical users, reducing complexity, and enhancing usability.

• Customizable Solutions: OAS allows for the customization of automation solutions, enabling users to choose functional modules according to their needs and flexibly build automation systems to meet specific business requirements, enhancing flexibility and control.

OAS Platform Architecture

The OAS platform achieves seamless connectivity between PLCs (programmable logic controllers), devices, databases, and custom applications, enabling the movement and transformation of data for key business processes such as machine learning, data mining, reporting, and data visualization. Below are the specific details of how its architecture operates at each layer:

Connectivity Layer — Device and Data Connectors

The OAS platform serves as an IoT gateway and protocol bus, enabling seamless data movement between devices, databases, applications, and IoT services. It connects virtually all supported devices and data sources to data destinations, facilitating bidirectional data flow and transformation.

Aggregation Layer — Network and Edge Computing

The OAS platform links data connectors via its real-time cloud functionality, enabling seamless, fast, and secure data flow between platform servers, ensuring data accessibility and analysis across different systems in real-time. OAS can serve as a platform for edge computing tasks, from simple data filtering to visualization and complex analytics. In this distributed network architecture, each system configuration is adaptable to nearly any scenario while maintaining high performance and reliability.

Application Layer — Data History, Alerts, Notifications, and Visualization

All data processed through the OAS platform can be accessed via a set of included developer tools and APIs to create .NET, web, and native mobile visualizations. Users can view real-time data and historical trends on virtually any platform, including mobile devices and web browsers, with timely alerts and notifications to ensure quick responses to changing conditions.

Applications of OAS

Medical Internet of Things

Each patient's medical device in the hospital is connected to the clinical medical IoT via Wi-Fi. The OAS connection layer seamlessly integrates with medical devices, converting them into business data that is uploaded to the edge computing platform. This helps healthcare professionals quickly assess patient conditions and make informed decisions, ultimately improving patient care.

Industrial Processes in Manufacturing

In the manufacturing industry, OAS is used to monitor and control industrial processes, ensuring efficient operations and reducing downtime. By seamlessly integrating with existing systems, it provides real-time analytics and visualization, enabling manufacturers to make informed decisions quickly. Additionally, OAS supports predictive maintenance by analyzing data trends, helping prevent equipment failures and optimize maintenance schedules.

Energy Distribution

In the energy sector, OAS can integrate data from multiple sources and use data visualization at the application layer to help manage and optimize energy distribution. It ensures efficient energy consumption and enhances grid reliability.

Smart Building Management

In smart building management, the aggregation layer's edge computing in OAS can be used to monitor and control HVAC systems, lighting, and security, helping to save energy and improve occupant comfort. Its application extends to fields such as transportation and logistics, enhancing fleet management and route optimization.