Detection of service time of automobiles and detection of faulty parts using IoT via CSVPCV

Nowadays, the auto-mobile maintenance became expensive. If the service scheduled won’t be followed by the users that would cause to bear more expenditure because of some parts may not function. Because of negligence of the users, the expenditure would cause bearing of penalty due to lack of knowledge of servicing deadline. Hence, IoT and appropriate sensors such as reading levels or information of the part are placed at important places in the auto-mobile for easy observation and such sensors are initially fed with pre-defined cut-offs. This feeding of details would be helpful in alerting the user as like alarm many times such as LED colour, buzzer and locks the driving through a display if the user won’t accept the severity. In addition to this, it is also needed to determine the faulty parts which are not performing their behaviour and are idle in functioning. The sensors for monitoring of significant parts would possess two checks such as alerting when crossing of predefined cut-offs as well as alerting when predefined behaviour of few parts is found idle or abnormal than regular behaviour. This scenario is named as customized sensors for verifying the predefined cut-off values which is called in short form as CSVPCV. The sensors incorporated in the automobile are built up with predefined logic that demonstrate its behaviour. The central sensor is placed which would receive the details of other sensors.