The invention relates to a portable WiFi (
Wireless Fidelity) self-adaptive endurance
optimization system, which comprises a
data acquisition module used for acquiring terminal information for establishing Wi-Fi connection,
byte receiving and transmitting total quantity, data
packet processing quantity and physical state information of equipment, adding a
timestamp label to acquired real-
time data, storing the data in a nonvolatile memory of the equipment, and storing the acquired real-
time data in the nonvolatile memory of the equipment; the method comprises the following steps: generating a historical log, performing periodic aggregation calculation on the historical log, generating
feature data representing user behavior habits, compressing and encrypting the
feature data and the historical log, and reporting the
feature data and the historical log to a
cloud server; the behavior prediction module is used for receiving the baseline prediction model issued by the
cloud server and the data acquired by the
data acquisition module, and performing real-time behavior prediction of the equipment side and incremental training and
fine tuning optimization of the model according to the data; the
intelligent decision engine is used for dynamically generating a
power consumption control strategy; and the feedback learning module collects actual operation effect data, updates a local model and synchronizes the local model to the cloud.