Abstract
Recently, the IT field has developed a number of promising solutions that can be used in construction: machine vision systems for quality building monitoring, new Wi-Fi standards with increased speed and information protection, improved types of fiber optic lines, new categories of twisted pairs, providing exceptionally high performance in bandwidth reliability. The list goes on. The introduction of new solutions does not negate the use of existing, time-tested ones. For these solutions, the implementation experience has been gained, they are often more economical than new ones, and the peculiarities of their operation have been studied. As a result, designing an automated system for construction is not a trivial task, as the total number of IT components (including new and existing) is very large. The paper proposes a design approach to address the problem. The approach is based on the use of elements of the set theory and the capabilities of database management systems. As a result, it is possible to improve the quality of the project and significantly shorten the design time. The approach is explained by the example of designing a structured cable system of a building.
Highlights
The developer of automated systems has a lot of IT solutions in its arsenal
The paper proposes an approach to the design of automated systems based on the use of elements of the Theory of the Set and capabilities of Database Management Systems
Theorist-multiple approach is used for strategic purposes, allows you to competently structure and visualize the task
Summary
The developer of automated systems has a lot of IT solutions in its arsenal These are, first of all, existing solutions, on their development accumulated quite a lot of experience, they have proven themselves in previous developments. It is a new innovative solution that allows you to get higher project parameters. Elements of Set Theory can be used as an "aid" to the solution: through this it is possible to visualize and structure the problem, to suggest a solution strategy. This is not enough to solve the problem. Databases and knowledge bases can be used for intelligent information processing techniques
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