6results about How to "Implement automatic verification" patented technology

The present disclosure provides a data processing method and system, which relates to the field of electronic information technology and can solve the problem of data processing efficiency. The specific technical solution is: by matching the structural parts and the acquisition port during the aircraft structure strength test data acquisition process, the automatic identification of the test data and the automatic calibration of the acquisition equipment are realized, and the test process is simplified, and the work efficiency and test quality are improved.

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.

The present invention discloses a method for managing and controlling electronic tags in a fresh food area for maximizing sales, comprising: evaluating the overall freshness of fresh food; obtaining a historical overall freshness change curve and a sales volume curve within a preset price adjustment period T; obtaining a relationship function between the overall freshness and the sales volume under a price J condition; importing the relationship function between the overall freshness and the sales volume under the price J condition into a trend analysis module, searching for a price range corresponding to the next price adjustment period T, estimating the change curves of the overall freshness and the sales volume under different price conditions within the price range, and calculating the ideal price J for the next price adjustment period according to the following formula * The present invention can estimate the freshness level and sales volume of fresh produce products, and automatically adjust product price tags according to a promotional plan preset by the user, with the goal of maximizing sales, thus greatly reducing the time for manual adjustment and confirmation of product information.

The present invention discloses a method for automatically updating a large-screen electronic label in a supermarket with a verification function, comprising: constructing an electronic label data table; collecting shelf images; identifying product information; processing the placement area; splicing label images; and displaying label images. The present invention can automatically adjust the display image of the large-screen electronic label according to the real-time status of the goods on the shelf, and can realize automatic verification of the update result in combination with the repeated price tags of some goods. The present invention greatly reduces the time for manual adjustment and confirmation of product information, and the verification result has high reliability, so that the product type observable by the user is consistent with the price tag display, thereby improving the user experience.

The present invention discloses a large-screen electronic label automatic management system for a fresh food area, comprising a base station, a first shooting device, a regional control device and a remote server; the regional control device comprises a price change data table, a price adjustment module, a trend analysis module and a freshness evaluation model for multiple fresh goods; the price change data table is used to store the type of fresh goods, the freshness level of the goods and the corresponding price value; the freshness evaluation model evaluates the overall freshness level of the specified fresh goods and feeds the evaluation result back to the trend analysis module; the trend analysis module calculates the freshness change trend and generates a replenishment instruction or a price adjustment instruction according to the freshness change trend. The present invention greatly reduces the time for manual adjustment and confirmation of product information, and the verification result has high reliability, so that the product type observable by the user is consistent with the price tag display, thereby improving the user experience.