IT Isolated Power · UPS/ATS Management · Power Quality

Hospital Electrical-Safety Smart Warning & Transparent Supervision Solutions

Medical IT isolated-power insulation-trend solving, UPS/ATS full-lifecycle management, power-quality online monitoring and edge AI warning.

OVERVIEW

Medical IT isolated-power insulation-trend solving, UPS/ATS full-lifecycle management, power-quality online monitoring and edge AI warning.

Core capabilities are medical IT isolated-power insulation-trend solving, UPS/ATS full-lifecycle management, power-quality online monitoring and edge AI warning, covering six critical scenarios: ICU, operating rooms, hemodialysis, cold chain, data centers and robot charging areas. The Coordination Engine three-engine architecture - the Diagnostic Engine engine collects physical-status baselines with 50-parameter sub-models and a 7-dimensional sensing matrix; the Correlation Engine engine links isolated alarms into causal chains via an 18-level scenario tree and cross-domain rules; the Prediction Engine engine provides warning windows from 67 medical-domain AI models - redefines the power lifeline of smart hospitals.

IT Isolated PowerUPS/ATS ManagementPower QualityEdge AI Warning
Hospital Electrical-Safety Smart Warning & Transparent Supervision Solutions
PAIN POINTS

Industry Pain Points

01
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Electrical Data Black Box

Electrical data of critical circuits in operating rooms, ICUs and hemodialysis centers stays in a 'black box'; chronic hazards cannot be captured in advance, and the real risk appears the moment redundant equipment fails to switch.

02
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UPS/ATS Switching Black Box

Switching status, battery health and insulation trends of dual-feed power, UPS and diesel generators remain invisible, turning redundancy into a single point of risk.

03
🕵️

Low Manual-Inspection Efficiency

Voltage dips of 0.1-3 seconds can restart monitors or lose ventilator parameters - unacceptable clinical consequences; manual inspection cannot detect them in time and fault detection lags.

04
🏛️

No Regulatory-Linkage Data Foundation

Hospital electrical-safety data cannot support three-level linked transparent supervision across in-hospital, regional and multi-role collaboration, and lacks compliance evidence chains.

ARCHITECTURE

Solution Architecture

Layered architecture, a complete data loop from sensing to operation.

Sensing Layer
AI Smart-Control TerminalSmart MeterIMD Insulation MonitoringTemperature PatchUPS/Electrical-Fire Monitoring
Edge Computing Layer
Gateway Local High-Frequency SamplingEvent RecognitionLinkage StrategiesOffline AutonomyLife-Support Circuits Independent of Cloud
Cloud Platform Layer
Hospital Single-Line Diagram / End-Point DiagramsAsset Health RecordsPQ Event LibraryRisk HeatmapRegional Transparent Supervision Cloud
Application Layer
Safety DashboardMobile Work OrdersSupervision ViewReview ReportsThree-Level Linkage Loop
CORE CAPABILITIES

Core Capabilities

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Capability 1

Medical IT Insulation-Trend Solving

Ultra-low-frequency test signals bypass distributed-capacitance interference to solve real ground-insulation resistance trends, upgrading audible/visual alarms to drift warning with a 4-12 week warning window.

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Capability 2

Voltage-Dip & Power-Quality Monitoring

Classified 0.1-3s voltage-dip recording, harmonic source tracing and three-phase unbalance analysis correlated with medical-equipment disturbance events to protect ICU and operating-room supply continuity.

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Capability 3

UPS/ATS Full-Lifecycle Management

Battery SOH evaluation, bypass-status monitoring, switching waveform verification and backup-capacity health records; 100% of critical switching events recorded, eliminating the switching black box.

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Capability 4

Arc-Fault & Electrical-Hazard AI Diagnosis

High-frequency waveform + harmonic-fingerprint feature extraction identifies loose sockets, loose terminals and charging-rectifier arc hazards with a comprehensive fire score.

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Capability 5

Full-Chain Power Digital Twin

A power digital-twin model from utility incoming lines to end-point sockets, with asset health scoring and predictive-maintenance recommendations.

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Capability 6

Three-Level Linked Transparent Supervision

In-hospital safety brain -> regional supervision cloud -> multi-role collaboration, with penetrating management of risk heatmaps, rectification progress and compliance evidence chains; annual safety-situational reports generated automatically.

DATA LOOP

Data Loop

The complete data value chain: sense -> data -> AI -> warning -> control -> operation.

01Full-Factor Sensing
02Edge Autonomy
03AI Warning
04Linked Handling
05Supervision Loop
60%Manual-O&M Frequency Reduction
20%Power-Asset Life Extension
4-12 weeksTrend-Warning Window
8-12 monthsStatic Payback Period
PRODUCT PORTFOLIO

Product Portfolio

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Full-Factor Sensing

ESA Full-Factor Smart Meter

ESA Series. ospital Electrical-Safety Smart Warning & Transparent Supervision Solutions | YESLON var _hmt = _hmt || []; (function () { var hm = document.

Synchronous acquisition of voltage, current, power, harmonics and temperature, making hospital critical-circuit electrical data transparent.

Full-Factor AcquisitionHigh-Precision MeteringEdge AI
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Insulation Monitoring

ESB/EST Monitoring Module

ESB / EST Series. ospital Electrical-Safety Smart Warning & Transparent Supervision Solutions | YESLON var _hmt = _hmt || []; (function () { var hm = document.

Three-phase unbalance and temperature monitoring with ultra-low-frequency signals solving ground-insulation trends; early detection of critical-circuit temperature anomalies.

Unbalance MonitoringTemperature SensingTrend Solving
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Arc Warning

FA Arc-Fault Monitoring Module

FA / FAP Series. ospital Electrical-Safety Smart Warning & Transparent Supervision Solutions | YESLON var _hmt = _hmt || []; (function () { var hm = document.

High-frequency waveform + harmonic-fingerprint feature extraction identifies loose sockets and terminals; comprehensive fire scoring.

Arc RecognitionHarmonic FingerprintFire Score
🧠
Edge Gateway

ESX Intelligent Edge Computing Gateway

ESX / ESX Series. ospital Electrical-Safety Smart Warning & Transparent Supervision Solutions | YESLON var _hmt = _hmt || []; (function () { var hm = document.

Local high-frequency sampling, event recognition, linkage strategies and offline autonomy keep operating-room and ICU basic safety logic running without interruption.

Edge ComputingOffline AutonomyLinkage Strategies
CUSTOMER VALUE

Customer Value

Quantified, verifiable customer value.

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Significantly Higher Accident-Loss Avoidance

IT insulation-trend solving with a 4-12 week AI warning window upgrades 'passive tripping' to 'proactive prediction', significantly raising electrical-accident loss avoidance.

Proactive PredictionTrend WarningLoss Avoidance
🕵️

60% Lower Manual-O&M Frequency

Edge AI + mobile work-order closure cuts troubleshooting time by 30%+, manual O&M frequency by 60%, with 100% of critical switching recorded.

Edge AIWork-Order Closure60% Lower Frequency
🔋

UPS Battery Faults Found in Advance

Battery SOH evaluation and switching verification greatly raise early battery-fault detection, extending hospital power-asset life by 20%.

SOH EvaluationSwitching Verification20% Life Extension
🏛️

Automatic Compliance Evidence Chains

The three-level transparent supervision cloud auto-generates annual safety-situational reports and compliance audit evidence chains with a static payback of 8-12 months.

Three-Level SupervisionEvidence Chain8-12 Month Payback
FAQ

FAQ

The solution's core capabilities are medical IT isolated-power insulation-trend solving, UPS/ATS full-lifecycle management, power-quality online monitoring and edge AI warning, covering six critical scenarios - ICU, operating rooms, hemodialysis, cold chain, data centers and robot charging areas - upgrading 'passive tripping' to 'proactive prediction'.
The Diagnostic Engine engine collects physical-status baselines with 50-parameter sub-models and a 7-dimensional sensing matrix; the Correlation Engine engine links isolated alarms into causal chains through an 18-level scenario tree and cross-domain rules, precisely locating floor and circuit; the Prediction Engine engine provides warning windows for insulation degradation, temperature anomalies, UPS battery SOH and electrical-fire hazards from 67 medical-domain AI models.
The system uses a device-edge-cloud-user four-layer architecture; edge gateways keep operating-room and ICU basic safety logic running during outages, with local high-frequency sampling, event recognition and linkage strategies independent of the cloud, safeguarding the bottom line of life-support circuits.
The FEXLINK platform provides a hospital-wide power digital-twin dashboard and supports three-level linked transparent supervision - in-hospital safety brain, regional supervision cloud and multi-role collaboration - with penetrating management of risk heatmaps, rectification progress and compliance evidence chains, auto-generating annual safety-situational reports.

Hospital Electrical-Safety Smart Warning & Transparent Supervision Solutions provides on-site sensing, early warning and data uplink with standard protocols.

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