ﻃﺮاﺣﯽ ﺳﯿﺴﺘﻢ ﻫﻮﺷﻤﻨﺪ ﻣﻘﺮون ﺑﻪ ﺻﺮﻓﻪ ﺑﺮاي ﺷﻨﺎﺳﺎﯾﯽ ﺧﻄﺎ در ﺗﺎﺑﻠﻮﻫﺎي ﺑﺮق ﺑﺮ ﻣﺒﻨﺎي اﯾﻨﺘﺮﻧﺖ اﺷﯿﺎء ﺑﺎ راﯾﺎﻧﻪ ﻫﺎي ﺗﮏ ﺑﺮد

Low Cost IoT Based Smart Fault Detection System for Electrical Panel Using Single-Board Computers

ﭼﮑﯿﺪه: ﺗﺎﺑﻠﻮﻫﺎي ﺑﺮق ﺻﻨﻌﺘﯽ ﺑﺮاي ﺗﻌﻤﯿﺮ و ﻧﮕﻬﺪاري ﻧﯿﺎز ﺑﻪ رﺳﯿﺪﮔﯽ ﻣﻨﻈﻢ دارﻧﺪ. در اﯾﻦ ﭘﺮوژه ﺑﺎ ﺑﮑﺎرﮔﯿﺮي اﯾﻨﺘﺮﻧﺖ اﺷﯿﺎء در ﯾﮏ راﯾﺎﻧﻪ ﺗﮏ ﺑﺮدي، ﺳﯿﺴﺘﻤﯽ ﻫﻮﺷﻤﻨﺪ ﺑﺮاي ﺷﻨﺎﺳﺎﯾﯽ ﺧﻄﺎ ﻃﺮاﺣﯽ ﺷﺪه اﺳﺖ ﮐﻪ ﺑﺎﻋﺚ ﺗﺴﻬﯿﻞ در ﻧﮕﻬﺪاري و ﮐﺎﻫﺶ زﻣﺎن ﻋﯿﺐ ﯾﺎﺑﯽ در ﻣﺪار اﯾﻦ ﺗﺎﺑﻠﻮﻫﺎ ﻣﯽ ﮔﺮدد. ﺳﺎﻣﺎﻧﻪ اﻟﮑﺘﺮوﻧﯿﮑﯽ اﯾﻦ ﻃﺮح داراي ﯾﮏ راﯾﺎﻧﻪ Raspberry pi اﺳﺖ ﮐﻪ ﻧﻘﺶ ﮐﻨﺘﺮل ﮐﻨﻨﺪه ﻣﺮﮐﺰي را دارد، و ﯾﮏ ﻣﺪار اﻟﮑﺘﺮوﻧﯿﮑﯽ اﺳﺖ ﮐﻪ ارﺗﺒﺎط ﺳﻨﺴﻮرﻫﺎ ﺑﺎ راﯾﺎﻧﻪ را ﺑﺮﻗﺮار ﻣﯽ ﮐﻨﺪ. ﮐﺪﻧﻮﯾﺴﯽ ﺑﺮﻧﺎﻣﻪ ﭘﺮوژه ﺑﻪ ﮐﻤﮏ زﺑﺎن ﺑﺮﻧﺎﻣﻪ ﻧﻮﯾﺴﯽ ﭘﺎﯾﺘﻮن ﺻﻮرت ﮔﺮﻓﺘﻪ اﺳﺖ. ﻫﻤﭽﻨﯿﻦ از ﭘﻠﺘﻔﺮم دﺳﺘﺮﺳﯽ اﺑﺮي Dataplicity ﺑﺮاي ﺗﺒﺎدل آﻧﻼﯾﻦ اﻃﻼﻋﺎت ﺑﯿﻦ Raspberry pi و اﺑﺰارﻫﺎي ﻫﻮﺷﻤﻨﺪ ﻣﺎﻧﻨﺪ راﯾﺎﻧﻪ ﯾﺎ ﮔﻮﺷﯽ اﻧﺪروﯾﺪي اﺳﺘﻔﺎده ﺷﺪه اﺳﺖ. اﯾﻦ ﻃﺮح ﺑﻪ ﺗﮑﻨﺴﯿﻦ ﻫﺎ اﺟﺎزه ﻣﯽ دﻫﺪ ﮐﻪ ﺑﻪ ﻃﻮر ﻣﺪاوم وﺿﻌﯿﺖ دﻣﺎي ﭘﻨﻞ، وﻟﺘﺎژ ﻣﻨﺎﺑﻊ ﺗﻐﺬﯾﻪ DC و اﺑﺰارﻫﺎﯾﯽ ﻣﺎﻧﻨﺪ اﻧﻮاع رﻟﻪ ﻫﺎي ﻣﺤﺎﻓﻆ را از ﻃﺮﯾﻖ اﺑﺰار ﻫﺎي ﻫﻮﺷﻤﻨﺪ ﯾﺎ راﯾﺎﻧﻪ ﻫﺎ ﺑﻪ ﺻﻮرت آﻧﻼﯾﻦ رﺻﺪ ﮐﻨﻨﺪ. ﻋﻤﻠﮑﺮد اﯾﻦ ﺳﯿﺴﺘﻢ ﺑﺮاي ﮐﺎر در ﺷﺮاﯾﻂ ﻣﺨﺘﻠﻒ و ﺧﻄﺎﻫﺎي اﺣﺘﻤﺎﻟﯽ در ﻣﺪارات ﺗﺎﺑﻠﻮﻫﺎي ﺑﺮق ﺻﻨﻌﺘﯽ ﻣﻮرد ارزﯾﺎﺑﯽ ﻗﺮار ﮔﺮﻓﺘﻪ اﺳﺖ. ﻧﺘﯿﺠﻪ ﮐﺎر ﯾﮏ ﺳﯿﺴﺘﻢ ﻫﻮﺷﻤﻨﺪ ارزان ﻗﯿﻤﺖ ﺑﺮاي ﺗﺎﺑﻠﻮﻫﺎي اﻟﮑﺘﺮﯾﮑﯽ اﺳﺖ ﮐﻪ اﻃﻼﻋﺎت ﺿﺮوري را ﺑﻪ ﺳﺮﻋﺖ ﺟﻤﻊ آوري، ﭘﺮدازش و ارﺳﺎل ﻣﯽ ﮐﻨﺪ ﮐﻪ ﺑﺎﻋﺚ ﮐﺎﻫﺶ ﭼﺸﻤﮕﯿﺮ زﻣﺎن ﻣﻮرد ﻧﯿﺎز ﺑﺮاي ﻋﯿﺐ ﯾﺎﺑﯽ در اﯾﻦ ﺗﺎﺑﻮﻫﺎ ﻣﯽ ﺷﻮد.

Industrial electrical panels require a regular inspection as maintenance. The project applied a single board computer to the IoT system, making the electrical panel smart, which makes the maintenance procedure much easier and faster. The electronic design used a Raspberry Pi single board computer as the central system controller, and an electronic circuit for data communication was designed. The Python programming language was used for software design. Dataplicity Cloud Commander on phones and computers was used as an interface for accessing the electrical panel online via the Raspberry Pi. The design allows technicians to continuously monitor devices such as protective relays, panel temperatures, and DC power supply voltages online via mobile phones or computers. The system was tested for various operating conditions and possible errors of the power panel. The result is a low-cost smart system for electrical panels that provides essential information quickly and easily, greatly reducing panel troubleshooting time.