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The invention relates to a remote monitoring method for realizing fine-grained syndrome name segmentation of traditional Chinese medicine. The method uses the naming and translation conventions of TCMsyndromes to train a conditional random field model based on the segmentation of TCM fine-grained syndromes names, Firstly, the Chinese-English word relationship of TCM syndromes in Chinese-English parallel corpus is used to construct the noisy marker training data by probability alignment method, which can heuristically combine forward alignment and backward examination to infer the fine-grainedsegments in TCM syndromes, and then the conditional random field model of these fine-grained segments is trained. The invention is reasonable in conception and simple in use for training a conditional random field model based on fine-grained syndrome name segmentation of traditional Chinese medicine in the field of traditional Chinese medicine, and hardly relies on or even does not need manual labeling training data.

The invention discloses an early-warning type intelligent charge post which comprises an alternative current acquisition module, a direct current acquisition module, a metering module, an MCU (Microprogrammed Control Unit) intelligent control module, a network communication module and a two-dimensional code module which are integrated inside a charge post main body, wherein the input port of the metering module is connected with the alternative current acquisition module and the direct current acquisition module respectively; the output port of the metering module is connected with the MCU intelligent control module; the MCU intelligent control module is connected with the network communication module to transmit data outside; the MCU intelligent control module is connected with the two-dimensional code module which is used as a man-machine interaction interface; a computing sub-program module, a sudden change processing module and an early-warning logic module are programmed in the MCU intelligent control module; electric signals are computed and processed by using the computing sub-program module and the sudden change processing module and are further transmitted into the early-warning logic module to judge electric potential safety hazards. By adopting the early-warning type intelligent charge post, an electric potential safety hazard monitoring function of the charge post can be achieved, types and happening times of the electric potential safety hazards can be visibly distinguished, and the working security of the intelligent charge post can be improved.