Experiment auxiliary method, device and equipment

Abstract

The invention discloses an experiment auxiliary method, device and equipment, and the method comprises the steps: loading a method model of an experiment method to be experimented, and recording the operation specification information corresponding to the experiment operation of the experiment method in each experiment scene; sending operation specification information corresponding to the experiment operation in the current experiment scene to an experimenter; and collecting and recording experiment process data generated by experiment operation performed by the experimenter based on the operation specification information in the current experiment scene. According to the invention, the training cost of experimenters can be effectively reduced, and the timeliness, accuracy and recording efficiency of experimental data recording are improved.

Description

technical field [0001] The present invention relates to the field of augmented reality technology, in particular to an experiment assistance method, device and equipment. Background technique [0002] At present, when the experimenters are conducting experiments, they all conduct field experiments based on the experience of the experimenters. In order to standardize the experimental operation process of the experimenters and ensure the effect of the experiment, a large amount of training resources need to be invested in the long-term training of the experimenters, which leads to high training costs for the experimenters. In addition, the experimenters will generate a large amount of data during the experiment. In the past, when recording the experimental data, they usually recorded the experimental results after the experiment was completed, and backfilled the data of key experimental operations after the experiment was completed. This has poor timeliness and Data fragmenta...

AI Technical Summary

Problems solved by technology

In order to standardize the experimental operation process of the experimenters and ensure the effect of the experiment, it is necessary to invest a large amount of training resources for long-term training of the experimenters, which leads to high training costs for the experimenters

In addition, the experimenters will generate a large amount of data during the experiment. In the past, when recording the experimental data, they usually recorded the experimental results after the experiment was completed, and backfilled the data of key experimental operations after the experiment was completed. This has poor timeliness and Data fragmentation is prone to occur, and it is not convenient to query relevant experimental data when restoring the experimental process in the later stage; moreover, the current methods of recording experimental data are by copying or cutting and pasting into paper laboratory notebooks, or manually entering electronic data. In the experimental recording form, the existing method of recording experimental data is not only time-consuming, but also error-prone

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