AI-Based Transformer Fleet Asset Management System Developed in Iran
“This system is necessary in the mining industry and specially the steel industry that has furnace transformers,” Rashid Dehsangi, a technologist and manager of the startup team which has developed the system, told ANA.
“This fleet management system is actually a monitoring system to check the status of transformers. In fact, this plan is a management software that provides a detailed report on the status of transformers at regular intervals; information like which parts need repair or which parts need more money to spend,” he added.
“One of the most basic capabilities of this system is to recognize which transformer is functional and strategic and which one is less important,” Dehsangi said.
Earlier, in February, electronics department specialists of an Iranian knowledge-based company succeeded in designing and producing a car wiring harness test device by using Python artificial intelligence technology.
“A process exists in the production line of car parts manufacturing and design factories which is called car wiring harness test to check if all wires assembled by human or machine are functionally tested,” Amin Keyqobad, the managing-director of the knowledge-based firm, told ANA.
“The testing of these strings of wires is usually conducted by human forces, which, in addition to being dangerous for a human's life, is very time-consuming since nearly 6,000 pixelated strings of wires should be opened by a human operator and then checked one by one,” he added.
“This device has been made by using Python artificial intelligence or Python AI, and it tests a string of wires every three milliseconds. A central computer connected to the device is mounted on a wire test table, which shows the wire connection map on the monitor. When the AI detects that a wire is not working properly, a number of red lines will appear on the monitor,” Keyqobad explained.
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