Building diagnostics is the process of determining the causes and solutions to problems in buildings.
Building diagnostics are the holistic process of data collection methods and techniques regarding tracking and analysis, and of future prediction of faults, abnormalities, and defects in the condition, internal environment and/or performance of the equipment that makes up a buildings' infrastructure. The three main types include commissioning, sensor-based monitoring, and investigation diagnostics. This process can be carried out unaided (using naked eye) but often aided by advanced technology such as equipment-level performance tracking devices and other IoT-based sensors.
The end product of building diagnostics is a prediction of impending defects/faults in equipment and suggestion of appropriate remedial solutions.
Human senses-based building diagnostics is not an exact science and is subjective. On the other hand, digital and real-time performance readings, combined with advanced analytics are both precise and continuously improving. It is important that this empirical evidence drives maintenance prioritization, otherwise there will be waste in activities and a reduction of equipment life.