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By Barney L. Capehart Ph.D. C.E.M., Michael R. Brambley Ph.D.

Offers info to a wide viewers at the kingdom of computerized fault detection and diagnostics for structures functions, the advantages of these functions. Covers themes resembling rising diagnostic know-how, examples of box deployments, the connection to codes and criteria, computerized diagnostic instruments almost immediately to be had, assistance on the right way to use computerized diagnostics, and similar issues.

summary: offers details to a extensive viewers at the kingdom of computerized fault detection and diagnostics for constructions functions, some great benefits of these purposes. Covers subject matters corresponding to rising diagnostic know-how, examples of box deployments, the connection to codes and criteria, automatic diagnostic instruments shortly to be had, tips on find out how to use computerized diagnostics, and similar concerns

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Also, as the smart building solution may be hosted externally, a secure connection may need to be established, which can complicate the data exchange and delay the rollout. Data volumes can be significant and can conflict with available capacities for extraction, transfer, storage and processing. Depth and Breadth of Available Data A second issue is collecting data that is sufficiently granular, both in quality and quantity. g. in five-minute increments). Contextual information is also needed. For example, air conditioning usage needs to be mapped against weather conditions to distinguish savings simply due to favorable weather from real improvements.

This allows buildings to be managed holistically through a unified interface, instead of many disjointed systems (as illustrated in Figure 2-1). This approach does not replace existing building management systems, but aggregates and complements them with an analytical layer. 14 Automated Diagnostics and Analytics for Buildings Program Components and Impacts In its initial phase, Microsoft’s smart building program focuses on the three main areas described in Figure 2-2: • • • Fault detection and diagnosis Alarm management Energy management At the time this report was published, the three solutions being piloted had introduced new capabilities and produced a range of promising results, but their evaluation was still in progress.

These tools go further than building energy analytics, which analyze data to produce numerical results. They interpret analytic results to provide conclusions and lend themselves to supporting ongoing monitoring-based re-commissioning. Although distinctions exist between automated fault detection and automated diagnostics, for the purpose of this chapter, we’ll simply use the terms automated diagnostics and automated fault detection and diagnostics synonymously to represent the class of tools with these sorts of capabilities.

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