| dc.description.abstract | Supervisory Control and Data Acquisition (SCADA) systems are applications that collect
information about equipment located in industrial plants and distributed over wide areas.
Where control and supervision tasks require sophisticated automation schemes that
provide access to production data and variables distributed in the field remotely, at various
levels of plant automation [4], the complexity of these systems complicates their
implementations.
To carry out the implementation of SCADA systems it is necessary to have knowledge of
specific programming languages of a modeling and simulation software (e.g., MATLAB) or
knowledge of protocols for connection with industrial devices (e.g., MODBUS), so a person
without such knowledge will not be able to build a fully functional system [1].
In addition, the development of SCADA systems takes a long implementation time, which
increases the cost of building the system [1]. Therefore, the Model Driven Development
(MDA) approach is widely used by Software Engineering, this approach is based on models
and applies transformations during the development process, so that systems can be
developed in an automated way and reusing software components. The MDA approach
proposes several models to represent the system, each model describes the system from a
high level of abstraction [2].
To build model-based SCADA systems, the construction of a software infrastructure has
been carried out, with a Model Driven Development approach for the automatic generation
of the source code that implements the design of SCADA Systems. The infrastructure
provides: i) A graphical editor that facilitates the creation of models that describe the design
of a SCADA system, ii) A transformation engine that takes as input SCADA system design
models and generates the code that implements the SCADA system according to the
programming language of a modeling software that allows programming the SCADA
functionality (e.g., MATLAB) [3]. MATLAB is a proprietary software from MathWorks, and it
is a control system used by engineers in all stages of development, from plant modeling to
design, adjustment of control algorithms and supervisory logic [3], the effectiveness of this
technological infrastructure has been tested in the micro-grid laboratory of the University
of Cuenca, to design and implement SCADA systems | |
