4. Information technology, communications and artificial intelligence in intelligent buildings

Introduction

Computation and artificial intelligence technologies

Expert systems

The structure and construction of expert systems

Dealing with uncertainty and fuzzy logic

Neural networks

Structure and operation of neural networks

Evolutionary computation

How evolutionary algorithms work

Design and implementation: semiotics for requirements engineering

Semiotics

The semiotics of a building

A semiotic model for requirements engineering

Semiotic transformation in construction engineering

Case studies in smart network technologies for smart buildings

Customers pull on building management systems

Why use a fieldbus network in a building?

Introduction to fieldbus networks

Network management

Implementation of a LonWorks building network

Meeting the control brief of best practice and best of breed technology

Implementation, design and integration of the unique façade

Brief façade design history

Meeting and superseding the requirements

The time critical development path

The façade controllers

The network structure

Floor-level networks

The IP backbone

Localised control and network data interconnects

BMS blind supervision

Problems with water

Summary and current status

Interacting with an intelligent building

Local object model

The performance model

Local device models

Static dynamic and adjacency models

Localisation model

Tracking in the Royal Berkshire Hospital

Results of qualitative trials and conclusions

The Cybernetics building

From safety to security: a distributed network implementation

How location, schedule and personal preferences affect user profiles

Location- and time-invariant behaviour

Mutual authentication using co-dependent behaviour

Personalised authentication with idiosyncratic behaviour

Conclusions

Summary

References