Abstract: The present disclosure provides a method for automatically collecting and matching laboratory data, including: obtaining a creation time of experimental data, determining target experimental data corresponding to a target time in accordance with the creation time, segmenting the target experimental data into a plurality data blocks, generating a data block index table, including at least one data block identifier, according to the data blocks, selecting a target matching mode from a plurality of predetermined matching modes according to the data block index table, obtaining the data block identifier upon determining the target experimental data in a storage node is loaded, and extracting data content in the target experimental data corresponding to the data block identifier by the target matching mode. This method may greatly reduce the number of string matching and may reduce the complexity of the algorithm.

Abstract: The present disclosure provides a method for automatically collecting and matching laboratory data, including: obtaining a creation time of experimental data, determining target experimental data corresponding to a target time in accordance with the creation time, segmenting the target experimental data into a plurality data blocks, generating a data block index table, including at least one data block identifier, according to the data blocks, selecting a target matching mode from a plurality of predetermined matching modes according to the data block index table, obtaining the data block identifier upon determining the target experimental data in a storage node is loaded, and extracting data content in the target experimental data corresponding to the data block identifier by the target matching mode. This method may greatly reduce the number of string matching and may reduce the complexity of the algorithm.

Abstract: The present disclosure provides a logistics route prediction method and apparatus. The method includes: obtaining chain network information of a logistics chain network corresponding to a logistics unit, and determining a target analysis domain and confidence node(s) of the logistics unit according to the chain network information; determining fast node(s) according to the chain network information, the target analysis domain, and a timeliness level of each of the logistics nodes in the logistics chain network; and determining a predicted logistics route corresponding to the logistics unit according to the chain network information, the target analysis domain, and the confidence node(s). In which, the fast nodes at which the logistics unit passing through is determined first, thereby improving the prediction efficiency, and the confidence nodes are used as the basis for determining the predicted logistics route among multiple possible flow routes, thereby improving the reliability of the prediction.

Abstract: The present disclosure provides a logistics node tracing method and apparatus for finding a trace node among logistics nodes in a logistics chain network corresponding to a logistics unit. The method includes: obtaining chain network information of a logistics chain network corresponding to a logistics unit, and determining a target analysis domain and confidence node(s) of the logistics unit according to the chain network information; determining fast node(s) according to the chain network information, the target analysis domain, and a timeliness level of each of the logistics nodes in the logistics chain network; determining a predicted logistics route corresponding to the logistics unit according to the chain network information, the target analysis domain, and the confidence node(s); and determining the trace node corresponding to the logistics unit according to the fast node(s) and the predicted logistics route.