Automation And Its Evolutions In Various Domains
Abstract
The automation of tasks and activities can take place with very little or no supervision by human beings due to the expansion of technology through the advancement of machines from mechanical through the use of electronics and now through the use of computers. Initially, the machines used to automate tasks were basic mechanical devices that were developed during the Industrial Revolution. As a result of the development of electric and electronic devices, automation has expanded greatly. After computers were introduced, programmable controls were developed as well as more complex algorithms, therefore allowing for further automation and increased automation's overall efficiency. With the development of cyber-physical systems, all of the computational processes and the physical processes can now be connected. With the development of PLCs as a method of controlling machines in the industrial setting, automation in the industrial setting has changed dramatically. CAD and CAM have changed the way that production has been conducted. The growth of the IIOT has created a network of devices that can connect with one another within industrial manufacturing ecosystems. HRC has also made it possible for workers and robots to work cooperatively and safely as joint operators. Advanced process controls have increased efficiency and optimization of chemical manufacturing processes. The processes of continuous integration and continuous deployment allow for the efficient use of resources when developing software applications. The use of machine learning to automate the processes of business intelligence and data analysis will allow for companies to make better use of the data that they acquire. Robotic surgery represents a highly advanced level of surgical precision and capability. Automation within financial institutions has changed how we conduct banking and make payments. Future trends in automation will centre around AI integration and autonomous systems. The implications of continuous technical advancements on the workforce must also be considered. Ethical dilemmas, such as privacy and algorithmic biases, must be addressed and solved.
Potential technical challenges of integrating many automation technologies, such as complexity and weaknesses within today's cyber-security systems, make regulations necessary for companies as they begin to utilize new technologies for automation.
