What tools and software do you need for manufacturing automation?

1 Sensors and actuators

Sensors and actuators are the devices that enable machines to interact with their environment and perform tasks. Sensors collect data from physical parameters such as temperature, pressure, speed, or position. Actuators convert signals from sensors or controllers into mechanical or electrical actions, such as moving, rotating, or switching. You need to choose the right types and specifications of sensors and actuators for your automation goals and challenges.

2 Controllers and PLCs

Controllers and PLCs (programmable logic controllers) are the brains of manufacturing automation. They receive inputs from sensors and other sources, process them according to predefined logic or algorithms, and send outputs to actuators and other devices. Controllers and PLCs can range from simple to complex, depending on the level of automation and integration required. You need to select the appropriate hardware and software platforms for your controllers and PLCs, as well as the communication protocols and standards they use.

3 Software and programming languages

Software and programming languages are the tools that allow you to design, develop, test, and troubleshoot your manufacturing automation systems. Software can include graphical user interfaces (GUIs), simulation and modeling tools, data analysis and visualization tools, and cybersecurity tools. Programming languages can include ladder logic, structured text, function block diagram, instruction list, and sequential function chart. You need to master the software and programming languages that are compatible with your controllers and PLCs, as well as the industry best practices and standards.

4 Robotics and cobots

Robotics and cobots (collaborative robots) are the machines that can perform complex and repetitive tasks with high precision and speed. Robotics can operate independently or in coordination with other machines or humans. Cobots can work alongside humans, sharing the same workspace and tasks, while ensuring safety and efficiency. You need to understand the types and capabilities of robotics and cobots, as well as the methods and technologies for programming, controlling, and integrating them.

5 Vision systems and AI

Vision systems and AI (artificial intelligence) are the technologies that enable machines to see, recognize, and learn from images and videos. Vision systems can include cameras, scanners, lasers, and software for image processing and analysis. AI can include machine learning, deep learning, neural networks, and computer vision. You need to leverage the power of vision systems and AI to enhance the quality, accuracy, and intelligence of your manufacturing automation systems.

6 IoT and cloud computing

IoT (Internet of Things) and cloud computing are the technologies that enable machines to communicate and share data with each other and with external sources. IoT can include sensors, actuators, controllers, PLCs, robotics, cobots, vision systems, and other devices that are connected via wired or wireless networks. Cloud computing can include servers, databases, platforms, applications, and services that are hosted on the internet. You need to utilize the benefits of IoT and cloud computing to increase the connectivity, scalability, and flexibility of your manufacturing automation systems.

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?