Unattended during nights and holidays
Temperature anomalies in cold storage and server rooms often occur at night or on holidays. By the time manual inspection discovers them, materials and equipment are already damaged.
Product Solution 04 / 08
Multi-point real-time temperature acquisition, instant over-limit alerts with AI trend anomaly detection
Real-time multi-point temperature data acquisition with multi-sensor support, automatic over-limit alerts. AI trend analysis detects slow temperature anomalies. Historical curve query, data export. Widely used in server rooms, cold storage, workshops, and warehouses.
Temperature anomalies in cold storage and server rooms often occur at night or on holidays. By the time manual inspection discovers them, materials and equipment are already damaged.
Paper-based logging has long intervals and is prone to omissions, making it impossible to reconstruct temperature change processes afterwards and hard to assign accountability.
Slow temperature creep that hasn't crossed a threshold goes undetected, yet the trend already points to issues like compressor degradation or defrost anomalies.
Single device supports multiple temperature probes, second-level reporting, real-time web refresh.
Three-tier thresholds (warning / alarm / critical), supports time-slot and zone-specific settings.
Learns historical operating curves, identifies slow drift and periodic anomalies, and provides early risk signals.
Short circuit, open circuit, stuck value, or acquisition device offline — each triggers a separate alert to avoid false sense of normality.
Any time range historical curve playback, supports report export for audit and handover.
Web dashboard, WeCom, and SMS reach on-duty personnel, with escalation and acknowledge/clear support.
Alerts pushed to Web dashboard and WeCom; SMS as optional add-on. Same-type alerts auto-merged for noise reduction.