04 / SENSOR DATA MONITORING
Make the time-series record inspectable.
Sensor data monitoring covers measurement sources, intervals, missing readings, anomalies, validation and alert concepts.

DATA CONTROL
Selection follows the measurement objective.
Sensor categories may address movement, inclination, temperature, moisture, vibration, strain-related indicators, level or other agreed variables. Selection depends on the measurement objective, structure, installation context, access, environment and required reporting.
Measurement intervals should reflect the expected change, event timing, storage approach and review capacity. A frequent record is not automatically a better record. It can increase data volume without improving the decision.
Each record needs an identifier, unit, time reference, location, source and status. Calibration concepts, maintenance notes and changes to the collection chain should be retained. No equipment specification or accuracy figure should be assumed without verified information.
Data workflow
- Register sources. Name points, variables, units, locations and collection responsibilities.
- Capture records. Preserve timestamps, intervals, status values and environmental context.
- Validate. Check completeness, range, continuity, duplicated values and unusual step changes.
- Review anomalies. Distinguish data issues from genuine structural or environmental change.
- Route alerts. Define threshold concepts, recipients, response ownership and professional escalation.
Quality and limits
Missing readings can result from access, power, communications, maintenance or collection changes. Anomalies can arise from the source, reference, environment or structure. A flag is a reason to review, not a diagnosis.
Thresholds require context. They may be informational, review-based or escalation triggers, but they should not be presented as universal safety limits. Qualified professionals must establish project-specific interpretation.
Benefits include consistent records, faster review and traceable exceptions. Limits include sensor placement, drift, calibration uncertainty, communication gaps and a narrow measurement that cannot represent every structural condition.