2results about How to "Implement automatic verification" patented technology

The application provides a webpage information verification method and related device, which can be applied to a robot process automation (RPA) platform. The method comprises the following steps: obtaining an original file; extracting to-be-verified information and a query condition corresponding to the to-be-verified information from the original file; querying a webpage according to the query condition to obtain a query result, wherein the query result is used to represent whether the webpage includes the query condition; and when the query result represents that the webpage includes the query condition, determining a verification result of the to-be-verified information according to the to-be-verified information and the query result. According to the to-be-verified information and the query condition extracted from the original file, the RPA platform simulates human operation and interacts with the webpage, webpage information can be safely and efficiently obtained, automatic verification of the webpage information is realized, and the efficiency of webpage information verification is improved.

This invention discloses an automatic optimization method and system for 5G coverage in factory areas based on the Internet of Things (IoT). To address the problems of existing automatic parameter adjustments lacking safety boundaries, easily affecting production and business continuity, and lacking automatic verification and rollback of optimization effects, this invention collects measurement data from IoT terminals in the factory area and obtains a snapshot library of initial wireless configuration parameters and stable parameters. It constructs a heterogeneous dynamic spatiotemporal graph sequence representing the relationship between terminals and 5G cells. Using a pre-trained heterogeneous dynamic spatiotemporal graph neural network, it outputs predicted values ​​and uncertainties of business performance indicators and calculates lower confidence boundaries to determine business continuity safety conditions. Under feasibility discrimination constraints and change magnitude constraints, it uses constrained Bayesian optimization to generate a set of candidate wireless configuration parameters. Based on the experimental cell group and the control cell group, it performs a comparative sequential statistical test to form verification results. Based on the verification results, it performs hierarchical rollback or writes to stable snapshots. This achieves the technical effects of automatically optimizing 5G coverage parameters while ensuring business continuity, rapidly verifying optimization effects, and automatically recovering in case of anomalies.