5 results about "Data preparation" patented technology

The invention discloses a cooperative transmission routing method for a wireless sensor network based on multi-relay multi-hop. The method comprises the following steps: step 1, a network initialization phase; step 2, a data preparation phase; step 3, a relay node number selection phase; and step 4, a data transmission phase. According to the cooperative transmission routing method for the wireless sensor network based on multi-relay multi-hop, a normal node in the sensor network sends the received data to an aggregation node at minimum transmission power through a multi-relay multi-hop transmission mode; and the minimum transmission power is calculated through the given interruption probability, and the optimal number of relay links and the optimal number of relay hops on each link can also be determined. By adopting the method, the resource waste caused by the excessive transmission power of source nodes or the occurrence of interruption caused by too low transmission power can be effectively avoided; the phenomenon that the number of relay links and the number of hops with minimum energy consumption can be found under different transmission distances can be ensured, and the problem of too fast energy consumption can be effectively alleviated.

The invention discloses a method for implementing an automatic generation tool of a track line database. The method comprises a data preparation period and a data operation period. The method is characterized in that: in the data preparation period, data are analyzed on a server, a data analysis program is operated, and according to a prescribed relational table format of the line database, the analyzed data are organized and then stored in a hard disk of the server; and in the data operation period of an automatic train protection (ATP) system, the data in the hard disk of the server is imported into a FLASH of an industrial control computer, the ATP system is started to read the data of the FLASH into the line database of an internal memory, and the line database can normally work. By adoption of the method, the development efficiency of the ATP system is improved, and the working load of a data entry operator is reduced. Moreover, the automatic generation tool adopts an object-oriented programming language and modular design method, so that the system has high expandability and transportability.

The invention discloses an AI artificial intelligence breath detection data model. The system comprises a historical database, the output end of the historical database is connected with a data preparation module, the output end of the data preparation module is connected with a data preprocessing module, the output end of the data preprocessing module is connected with a configuration model, theoutput end of the configuration model is connected with a training module, and the output end of the training module is connected with an evaluation optimization module. According to the AI artificialintelligence breath detection data model, data extracted from the data preparation module is processed and analyzed, including deletion of error data, interpolation processing of missing data, encoding of interpolation processing data and other related data calculation; the training module evaluates the difference between the training output and the test output according to two key indexes of thetraining result and the training speed of the training module, compares the difference values generated by the training output and the test output, outputs a comparison value, and reduces errors through one-time iteration and comparison after the training of the evaluation optimization module is finished, so that the accuracy of the model is improved.