Performance Monitoring vs System Complexity
Limit data collection to operationally justified variables, embedding cybersecurity and privacy controls into monitoring design from the outset.
CyberTRIZ analysis · RealEstateConstruction contradiction DSP030 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Sensors, meters, analytics platforms, and building-management systems can provide valuable information about energy, equipment condition, occupancy, environmental quality, and operational performance. However, increasing monitoring coverage generates additional devices, networks, data, software, maintenance requirements, and cybersecurity exposure.
Real Estate & Construction TRIZ Resolution
Monitoring should be designed around specific decisions and failure modes rather than collecting every available data point. Existing control signals can be reused, critical variables prioritized, sensors shared between functions, and analytics configured to identify exceptions instead of requiring continuous manual review.
Applicable TRIZ Principles
Principle 2 – Taking Out eliminates measurements that do not support useful operational decisions.
Principle 6 – Universality uses common sensors or data sources for multiple analytical functions.
Principle 23 – Feedback converts selected measurements directly into operational corrections and alerts.
Expected Outcome
Better performance visibility
Lower monitoring complexity
Reduced unnecessary data collection
More actionable operational information
Decision Indicators
Early indicators include:
Buildings collect large quantities of data that are rarely reviewed.
Multiple systems measure the same variables independently.
Operators receive excessive alarms with limited operational value.
Monitoring infrastructure requires disproportionate maintenance.
Additional sensors are installed without defined decisions or actions linked to their data.
Monitoring these indicators helps organizations ensure that greater asset intelligence produces better operational decisions rather than additional technological complexity.