APIs & SDKs

Understanding APIs and SDKs in Industrial Data Operations

In the world of industrial operations, data is a vital asset that can drive efficiency, optimize processes, and enhance decision-making. However, leveraging this data often requires integrating various systems and technologies, which can seem daunting, especially for those more familiar with traditional OT (Operational Technology) environments than IT. APIs (Application Programming Interfaces) and SDKs (Software Development Kits) are crucial tools in bridging this gap. This blog aims to provide a working understanding of APIs and SDKs in industrial data operations, and contrast traditional software development with the unique programming environments used in industrial automation, such as ladder logic, sequential function charts, and function block programming.

What Are APIs and SDKs?

APIs (Application Programming Interfaces): APIs are sets of rules and protocols that allow different software applications to communicate with each other. Think of an API as a translator that enables one piece of software to understand and use the functions of another. In the context of industrial data operations, APIs allow various systems and devices to share data and functionalities seamlessly.

SDKs (Software Development Kits): SDKs are collections of tools, libraries, documentation, and code samples that help developers create software applications. An SDK might include APIs, along with other necessary tools for development. In industrial settings, SDKs can be used to develop applications that interact with machinery, sensors, and other devices.

Traditional Software Development vs. Industrial Programming Environments

Before diving into how APIs and SDKs fit into industrial data operations, it’s important to understand the differences between traditional software development and industrial programming environments.

Traditional Software Development: In traditional software development, programming languages such as Python, Java, and C++ are used to create applications. These applications might run on various platforms, including desktop computers, web servers, and mobile devices. Development typically involves writing code in an Integrated Development Environment (IDE), using standard coding practices and methodologies.

Industrial Programming Environments: Industrial automation often involves programming environments that are quite different from traditional software development. Here are three common types:

• Ladder Logic:
  • Overview: Ladder logic is a graphical programming language used to develop software for programmable logic controllers (PLCs). It resembles electrical relay logic diagrams.
  • Usage: Widely used in industrial control systems for tasks like controlling machinery and processes.
  • Characteristics: Uses rungs and rails, similar to electrical circuits, making it intuitive for those with an electrical background.
• Sequential Function Charts (SFC):
  • Overview: SFC is a graphical programming language used to design complex control processes. It represents processes as a series of steps and transitions.
  • Usage: Ideal for processes that require a defined sequence of operations, such as batch processing.
  • Characteristics: Visual representation of control logic, making it easier to follow the flow of processes.
• Function Block Programming:
  • Overview: Function block programming uses blocks to represent functions or algorithms. These blocks are connected to create a complete control system.
  • Usage: Commonly used in automation systems to perform complex calculations and control tasks.
  • Characteristics: Modular approach allows for reusable and scalable control logic.

How APIs and SDKs Enhance Industrial Data Operations

APIs in Industrial Data Operations: APIs play a crucial role in enabling communication between different systems and devices in an industrial setting. Here’s how they can be used:

• Data Integration:
  • Example: An API can connect a PLC to a cloud-based data analytics platform, allowing real-time data from the factory floor to be analyzed and visualized remotely.
  • Benefit: Facilitates better decision-making by providing comprehensive data insights.
• Automation:
  • Example: APIs can automate routine tasks, such as triggering maintenance alerts when sensor data indicates equipment wear.
  • Benefit: Increases efficiency and reduces downtime through proactive maintenance.
• Interoperability:
  • Example: APIs enable different equipment and software from various vendors to work together seamlessly.
  • Benefit: Enhances flexibility and scalability of industrial systems.

SDKs in Industrial Data Operations: SDKs provide the necessary tools and resources to develop custom applications tailored to specific industrial needs. Here’s how they can be used:

• Custom Application Development:
  • Example: An SDK might be used to develop a mobile application that allows operators to monitor and control machinery from a remote location.
  • Benefit: Enhances operational flexibility and responsiveness.
• Device Communication:
  • Example: SDKs can help develop software that communicates directly with sensors and actuators, collecting and processing data in real-time.
  • Benefit: Improves data accuracy and timeliness for critical processes.
• System Integration:
  • Example: Using an SDK, developers can integrate new devices into existing industrial systems, ensuring compatibility and functionality.
  • Benefit: Simplifies the integration process and extends the capabilities of existing systems.

Practical Examples: OSIsoft PI System

One of the most common platforms in industrial data operations is the OSIsoft PI System. It includes the OSIsoft PI SDK and PI Web API, which are excellent examples of how APIs and SDKs can be used to extend the functionality and integration of industrial data systems.

OSIsoft PI SDK:

• Functionality: The PI SDK provides a comprehensive set of tools for accessing and manipulating data stored in the PI System. It allows for creating custom applications that can read, write, and analyze data.
• Use Case: A custom application developed with the PI SDK can aggregate data from multiple sources across different parts of a plant, providing a unified dashboard for real-time monitoring and analysis.
• Benefit: By leveraging the PI SDK, companies can develop tailored solutions that meet their specific data management and analysis needs, enhancing the value of their existing data infrastructure.

PI Web API:

• Functionality: The PI Web API is a RESTful interface to the PI System, enabling web-based applications to interact with PI data. It supports operations such as data retrieval, manipulation, and analysis through standard HTTP methods.
• Use Case: Using the PI Web API, a web-based application can be created to allow remote monitoring of plant operations from a web browser, providing real-time insights.
• Benefit: The PI Web API facilitates the integration of PI data with other web applications and services, enhancing interoperability and accessibility.

Conclusion

APIs and SDKs are powerful tools that can significantly enhance industrial data operations by enabling seamless communication, automation, and integration of various systems and devices. While the transition from traditional OT programming environments to these technologies may require effort and training, the benefits are well worth it. By leveraging APIs and SDKs, industrial operations can achieve greater efficiency, flexibility, and insight into their processes, ultimately driving better decision-making and productivity.

Whether you are an OT professional or an IT expert, understanding and utilizing APIs and SDKs can bridge the gap between operational technology and information technology, paving the way for more integrated and intelligent industrial systems.