3results about How to "Reasonable optimization" patented technology

The application relates to the technical field of artificial intelligence optical character recognition, in particular to an end-to-end communication big data journey card recognition method, and the steps of the method comprise the following steps: adjusting and correcting a text box according to size information of the text box, so that the size of the text box meets the required angle and proportion of adjustment; performing separated feature extraction on the corrected text box through a preset neural network to obtain feature data of a font; and obtaining text data corresponding to the feature data through a Bi-GRU recurrent neural network combined with an activation function.

The application discloses an online monitoring and safety management decision method for a corrosion dangerous area of a pressure-bearing equipment, and comprises the following steps: obtaining multi-source state monitoring information reflecting the running state of the equipment; uniformly managing the multi-source state monitoring information to form a state information set; analyzing the corrosion distribution characteristics of the pressure-bearing equipment during the running period based on the state information set; identifying the corrosion dangerous area according to the corrosion distribution characteristic analysis result; analyzing the running management strategy of the pressure-bearing equipment in combination with the engineering judgment requirement to form a corresponding safety management decision; implementing the safety management decision and continuously tracking, and adjusting the monitoring strategy and the management strategy according to the change of the running period state information. The application does not depend on a specific detection principle or a complex evaluation model, but combines the running period state information, the corrosion area characteristics and the engineering judgment requirement to provide a basis for the safety management, the running strategy adjustment and the subsequent engineering disposal of the pressure-bearing equipment.

This application relates to a method, apparatus, device, medium, and product for processing unmanned vehicle condition monitoring data. The method includes: acquiring isovariant feature data and an updated condition monitoring cycle based on environmental feature data and raw data from onboard sensors; obtaining the execution cycle of each unmanned vehicle condition monitoring task using the updated condition monitoring cycle; obtaining health status indices of each key component based on the isovariant feature data; adjusting the execution cycle of each condition monitoring task based on the health status indices to obtain the adjusted execution cycle of each condition monitoring task; optimizing the unmanned vehicle decision model based on the isovariant feature data, the updated condition monitoring cycle, and the adjusted execution cycle of each condition monitoring task; and obtaining the unmanned vehicle's driving strategy through the optimized unmanned vehicle decision model, thereby improving the environmental adaptability of unmanned vehicle condition monitoring, reducing operation and maintenance costs, and improving the driving safety and reliability of the unmanned vehicle.