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Ignition uses an implementation of Python version 2.5 called Jython. Python script is used for component Event Handling. An example of this would be opening a popup window when a user clicks on a graphic object. Another common use are event scripts such as a timer that checks for alarms or a logon script.
Lights-out manufacturing is the methodology of fully automating the production of goods at factories and other industrial facilities, such as to require no human presence on-site. Many of these factories are considered to be able to run "with the lights off," but few run exclusively lights-out production.
Continuous integration systems automate build operations at a relatively high level via features including: scheduling and triggering builds, storing build log and output files and integrating with version control systems.
The idea of "digital manufacturing" became prominent in the early 1970s, with the release of Dr. Joseph Harrington's book, Computer Integrated Manufacturing. [5] However, it was not until 1984 when computer-integrated manufacturing began to be developed and promoted by machine tool manufacturers and the Computer and Automated Systems Association and Society of Manufacturing Engineers (CASA/SME).
Manufacturing execution systems (MES) are computerized systems used in manufacturing to track and document the transformation of raw materials to finished goods. MES provides information that helps manufacturing decision-makers understand how current conditions on the plant floor can be optimized to improve production output. [ 1 ]
[1] [2] Factory automation intends to decrease risks associated with laborious and dangerous work faced by human workers. [3] [4] The manufacturing environment is defined by its ability to manufacture and/or assemble goods by machines, integrated assembly lines, and robotic arms. Automated environments are also defined by their coordination ...
Process automation simplifies this with the help of sensors at thousands of spots around the plant that collect data on temperatures, pressures, flows and so on. The information is stored and analyzed on a computer and the entire plant and each piece of production equipment can be monitored on a large screen in a control room.
Smart manufacturing leverages big data analytics to optimize complex production processes and enhance supply chain management. [7] Big data analytics refers to a method for gathering and understanding large data sets in terms of what are known as the three V's, velocity, variety and volume.