Multi-Approach Debugging of Industrial IoT Workflows
release_nan2h34edneffgxjdsktadcyvq
by
Andreia Rodrigues, Jose Pedro Silva, Joao Pedro Dias, Hugo Sereno Ferreira
2020
Abstract
Industrial Internet-of-Things (IIoT) results from the addition of sensing and
actuating capabilities to industrial environments to improve the overall
manufacturing processes. Some of these systems have highly-complex tasks of
monitorization and control and need to be programmed accordingly. The use of
visual programming, such as workflows, is common in these systems due to the
abstraction they provide to the systems programmer. However, such programming
environments have several deficiencies on what regards debugging capabilities,
mostly due to the constraints that difficult the use of traditional mechanisms.
The work presented in this paper approaches these issues, delving into the
design and implementation of a multi-strategy debugging mechanism into a
commercial-grade Manufacturing Execution System. To validate the approach, a
proof-of-concept was then developed and validated against different debugging
scenarios.
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