Electrical Safety

White Paper on Arc Fault and Electrical Fire Risk Awareness

Five-Generation Evolution Model of Electrical Safety The cognitive upgrade from overcurrent protection to risk intelligence Figure 0-1: Five-generation evolution model of electrical safety I Basic Protection - Protection Fuse - Fuse - Late 19th to early 20th century Protected objects: lines and equipment | Value center: overcurrent protection II Circuit Protection -

2026-07-26 Electrical Safety FEXLINK 10 min
White Paper on Arc Fault and Electrical Fire Risk Awareness

Five-Generation Evolution Model of Electrical Safety The cognitive upgrade from overcurrent protection to risk intelligence. Figure 0-1: Five-generation evolution model of electrical safety I Basic Protection - Protection Fuse - Fuse - Late 19th to early 20th century | Protected objects: lines and equipment | Value center: overcurrent protection II Circuit Protection - MCB / MCCB - Circuit Breaker - Mid 20th century | Protected objects: circuits | Value center: short-circuit and overload protection III Leakage Protection - RCD / RCBO - Residual Current Device - Second half of the 20th century | Protected objects: personal safety | Value center: protection against electric shock and earth faults IV Arc Protection - AFCI / AFDD - Early 21st century to present | Protected objects: arc faults | Value center: arc fault detection and protection V Risk Intelligence - Multi-source sensing + risk models + accident prediction - Now dawning | Protected objects: the complete risk chain (full RHAF chain) | Value center: risk awareness and accident prevention Diagram notes: The development of electrical safety is essentially a development process of continuously improving risk awareness capability. Every protection technology upgrade represents the industry's identification and management of a new risk object. The industry is currently in the transition period from the fourth generation (arc protection) to the fifth generation (risk intelligence) - AFDD is an important milestone, but Risk Intelligence represents the next stage. FIGURE 5-1 - CORE

RHAF Four-Layer Model Overview The core theoretical framework of the whole book - Risk source → Hazard → Arc exposure → Fire Key judgment of this chapter: the RHAF model is closer to the essence of electrical fires than a purely arc-based model; it provides a unified explanation of the complete evolution from risk source, hazard and arc exposure to fire. Figure 5-1: RHAF four-layer model overview L1 Risk Source - Root Cause Layer | Fundamental factors leading to system risk formation: design defects, installation defects, material degradation, environmental impact, operational stress, insufficient maintenance | Governance: avoid risk formation at the source ↓ Long-term effect of risk sources L2 Hazard - Process Layer | Specific risk states formed after the effect of risk sources: loose terminals, contact degradation, insulation aging, localized temperature rise, equipment aging, surface contamination | Identification: discover risk at the hazard stage ↓ Hazards develop to a certain stage L3 Arc Exposure - Signal Layer | Risk signals exposed by hazards through discharge: micro-discharge, intermittent arc, sustained arc, surface discharge, series arc, parallel arc | Detection: the layer where AFDD acts ↓ Arcs act continuously and conditions are present L4 Fire - Result Layer | The final out-of-control state after risk accumulates and breaks through safety boundaries: material charring, ignition conditions forming, combustion spreading | Prevention: stop it before the result forms AFDD acts on: Layer 3 (Arc Exposure layer) | Risk intelligence acts on: the full chain of Layer 1 → Layer 2 → Layer 3 → Layer 4 | Ideal intervention points: Layer 1 and Layer 2 (the earlier the intervention, the lower the cost and the better the effect) Diagram notes: The RHAF model divides electrical fire risk into four layers from root cause to result. AFDD mainly acts on the third layer (arc exposure), while true risk governance requires covering the full chain - the ideal intervention points are at the risk source and hazard layers, where earlier intervention means lower cost and better effect. This model is the most core theoretical framework of the whole book. FIGURE 6-1

Five-Level Capability Model The capability upgrade path from perception to prediction. Figure 6-1: Five-level capability model - Perception → Detection → Interpretation → Assessment → Prediction L5 Prediction: judge future risk | L4 Assessment: quantify risk levels | L3 Interpretation: understand the source of anomalies | L2 Detection: discover anomalies | L1 Perception: collect multi-source data AFDD mainly covers Level 1 perception + Level 2 detection | The stage the industry is generally at today Risk intelligence covers the full stack of Level 1 → Level 5 | The core value zone of next-generation systems Diagram notes: The five-level capability upgrade from bottom to top corresponds to the leap from 'seeing' to 'understanding' to 'judging'. AFDD mainly covers Levels 1-2, while risk intelligence covers the full stack of Levels 1-5. The higher the level, the scarcer, more valuable and more defensible the capability. The industry is currently in the transition from Level 2 to Level 3. FIGURE 1-1

Electrical Fire Risk Evolution Chain A fire is not a sudden, isolated event, but the final result of long-term risk evolution. Figure 1-1: Electrical fire risk evolution chain Connection degradation → Increased contact resistance → Localized temperature rise → Insulation degradation → Partial discharge → Arc fault → Material charring → Ignition conditions forming → Electrical fire Connection degradation - Typical duration: months to years [to be supplemented] Increased contact resistance - weeks to months - Observable: temperature rise, voltage drop Localized temperature rise - weeks to months - Observable: infrared thermometry Insulation degradation - months to years - Observable: leakage current Partial discharge - days to months - Observable: high-frequency signals Arc fault - minutes to weeks - Observable: AFDD Material charring - minutes to hours - Observable: smell Ignition conditions forming - seconds to minutes - Observable: smoke Electrical fire - - - Final result Diagram notes: A fire is not a sudden, isolated event, but the final result of long-term risk evolution. From connection degradation to fire formation, the chain may span months or even years. Every preceding stage is an intervention opportunity - the earlier the intervention, the lower the cost. The colors transition from blue (early) to red (danger) to black (fire), intuitively presenting the risk escalation process. FIGURE 4-1

Fault Thinking vs Risk Thinking Electrical safety must complete a cognitive upgrade. Figure 4-1: Fault thinking vs risk thinking Fault Thinking | Logic: discover → handle → end | Time scale: focuses on the present | Focus: what happened | Emphasis: action | Suitable for: clear, instantaneous faults with well-defined boundaries | Typical: short circuit, overcurrent Risk Thinking | Logic: discover → understand → assess → trend → intervene early | Time scale: focuses on the future | Focus: why it happened and what will happen next | Emphasis: judgment | Suitable for: long-term, gradual, multi-factor evolution | Typical: contact degradation, insulation aging Relationship between the two: risk thinking does not replace fault thinking, but is an upgrade built on fault thinking - without fault detection, basic data cannot be obtained; without risk awareness, basic data cannot be converted into accident prevention capability Diagram notes: The biggest difference between fault thinking and risk thinking lies in the time scale - the former focuses on the present while the latter focuses on the future. Risk thinking does not replace fault thinking, but is a further upgrade based on fault thinking. FIGURE 4-2

Data → Event → State → Risk → Decision Conversion Chain The value of future systems lies in converting data into decisions. Figure 4-2: The five-stage conversion chain from data to decisions Data - raw sampling - voltage/current/temperature → Event - anomaly identification - arc/temperature rise/leakage → State - state aggregation - contact degradation/insulation aging → Risk - risk quantification - risk index/hazard level → Decision - handling recommendations - power outage/repair/observation See the site - high-speed sampling + feature extraction | Find problems - threshold judgment + pattern recognition | Understand problems - multi-event correlation + time-series analysis | Quantify problems - multi-dimensional weighting + scenario models | Solve problems - risk levels + O&M rules Diagram notes: The value of future systems lies not in collecting more data, but in converting data into events, events into states, states into risks, and risks into decisions. Each layer of conversion requires corresponding method support - from high-speed sampling to threshold judgment, from multi-event correlation to multi-dimensional weighting, ultimately forming executable handling recommendations. KEY JUDGMENTS

Key Judgments A fire is not a point, but a chain. An accident is the result, a hazard is the process, and risk is the essence. In a normal circuit, copper conducts electricity; in an arc fault, air conducts electricity. The greatest significance of an arc is not what it burns out, but what it reveals. AFDD acts on the arc exposure layer; risk intelligence acts on the full chain. Detection capability is the foundation; cognitive capability is the moat. The next-generation electrical safety system is essentially the 'digital doctor' of electrical safety.

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About FEXLINK FEXLINK the Power | Brand definition: FEXLINK, a company that produces data

Brand Definition FEXLINK is a digital energy data company that takes multi-dimensional electrical feature perception as its entry point and four-dimensional data calibration and model algorithms as its core, converting power operation states into value-added data assets that are computable, decision-supporting, alert-capable, and capable of improving energy efficiency and safety value. FEXLINK is not merely an equipment company, nor a traditional software company, but a digital energy company that, through precise perception technology, captures perception data across industries, discovers the electrical signal systems inherent in them to continuously generate high-value data, and converts this data into value-added data products.

Brand Core Narrative Power → Data → Intelligence → Value Power creates data - data creates intelligence - intelligence creates value (Power Creates Data - Data Creates Intelligence - Intelligence Creates Value) This is the main line of all FEXLINK brand expressions and the underlying logic of this white paper's technical roadmap - from electrical signals to data, from data to intelligence, from intelligence to safety value.

FAQ

Five-Generation Evolution Model of Electrical Safety The cognitive upgrade from overcurrent protection to risk intelligence Figure 0-1: Five-generation evolution model of electrical safety I Basic Protection - Protection Fuse - Fuse - Late 19th to early 20th century Protected objects: lines and equipment | Value center: overcurrent protection II Circuit Protection -

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