Equipment life prediction system and method based on big data
A technology for equipment life and prediction system, applied in the field of big data, can solve the problems of reduced battery life, inaccurate prediction results, and inability to achieve service life, and achieve the effect of accurate prediction results and avoiding deviations
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[0098] Example one:
[0099] Use the display detection unit to detect whether the display screen of the communication equipment is lit, and determine whether the communication equipment battery is in a static or dynamic power consumption state. The static power consumption state is recorded as J, the dynamic power consumption state is recorded as D, and the power monitoring unit is used to check The battery power of communication equipment is monitored in real time, especially the battery power of the communication equipment at the time point from static power consumption to dynamic power consumption and the time point of dynamic power consumption to static power consumption. The time recording unit is used to monitor the battery power consumption of communication equipment. The real-time record of time T forms the power consumption distribution set of the battery power consumption of communication equipment. The power consumption set of static power consumption is J={(100%,96%),(...
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