Generation method and system of experimental workflow

Abstract

The invention relates to the field of experiment control, and discloses a generation method and system of experimental workflow. The generation method comprises the following steps: developing a movable element module in advance, and storing the movable unit module into a module library; when workflow design is carried out, firstly, presenting the movable element module in an icon form for users to select; through visual man-machine interaction, selecting and arranging movable units by users, and receiving the parameters, which are set by the user, of the movable unit module; and after module selection, logical sequence setting and module parameter setting are all finished, generating an executable workflow. Basic control is movably packaged in the module, experimental workflow design is provided in a graph visualization way, so that research personnel do not need to understand hardware unit details, do not need repeated memory, or do not need to learn computer programming languages and rules again, the research personnel only need to know the function of each module to visually carry out workflow design according to a scientific research thought, and focus on flow design, and therefore, efficiency is greatly improved.

Description

technical field [0001] The invention relates to the field of experiment control platform software, in particular to a method and system for generating an experiment workflow. Background technique [0002] Workflow is applied to experiment control and business process automation, and usually includes two components: workflow design and operation engine. End users can create, edit, modify, and publish workflow files on their computers; the running engine is responsible for executing the process. Changing the parameter conditions during the experiment can realize unattended operation, thereby greatly improving the efficiency of the experiment. The application workflow can also reduce hidden dangers caused by manual manipulation of equipment, such as parameter setting errors, and prevent experimental operations not strictly following the process sequence. [0003] Some existing experimental control platforms provide the above-mentioned work design and operation or some subset ...

AI Technical Summary

Problems solved by technology

The disadvantage is that the sequence is fixed, lacks such as working condition judgment, multi-process branch, and cycle according to preset working conditions, the method is not flexible, and the scalability is not good

Lack of design process verification, or simple logic verification, the information is ambiguous, and the cumbersome error correction and error handling work is thrown to the user

In addition, the process needs to be written by computer script, requiring laboratory scientists or experimenter designers to be familiar with the scripting language, which has great limitations

The responsibility of R&D scientists is to carry out innovative exploration work. If you don’t use a certain scripting language for a period of time, you will often forget it, which will increase the time and labor costs for retraining

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