Safety & Environment

Predict Hazards, Assure Safety
AI-Based Intelligent Safety Monitoring

Zero Harm, Total Control

Integrate safety data such as temp, gas, and smoke into one flow.
AI-driven analysis detects equipment anomalies in real-time to
predict fires and accidents. Protecting lives and assets, we
realize a non-stop industrial safety and environment system.

Centering Tech for People & Eco, Smart Integration for Sustainable ESG

Predicting Hazards, Protecting People

Connect safety data for people and environment to one platform.
By centralizing risk management and regulatory compliance,
we turn safety into a competitive edge, realizing sustainable
operations and responsible management systems.

X-SCADA AI Operation Screen

Smart Connection, Absolute Solution

Key Benefits

Challenge Current Challenges

01. Fragmented Safety Monitoring

Basic Temp-Oriented Tracking

Simple monitoring limited to dryer/exhaust temp fails to capture overall safety

Low Risk Visibility

Inability to recognize onsite hazards in real-time limits proactive responses

02. Subjective Hazard Management

Reliance on Experience

Predicting carbonization or overheating risks via senses rather than data

Non-standardized Safety

Lack of standard criteria leads to variance based on worker skill levels

03. Response Failures & Escalation

Gas Detection Gaps

Absence of real-time analysis for fire-precursor gases like CO and CO₂

Loss of Golden Time

Initial detection failure leads to incident spread, increasing total losses

Solution XISOM Innovation

01. Multi-Sensor Fusion Detection

Complex Data Collection

Collecting temp, gas, and smoke data simultaneously for high accuracy

Precision Safety Analysis

Identifying early risks through a holistic view of the entire process

02. Intelligent Alert & Response

Real-time Interlock Control

Blocking accident spread via instant alerts and automated equipment stops

Proactive Fire/Quality Prevention

Catching signs of carbonization to prevent fires and product degradation

03. Standardized Safety Governance

Data-Driven Judgments

Minimizing human error by applying standard logic based on precision metrics

Minimal Downtime Risk

Pre-blocking legal risks and shutdowns caused by safety incidents

Impact Future Value & Vision

01. 24/7 Real-time Safety Control

Constant Hazard Removal

Removing blind spots by monitoring eco, equipment, and worker status

Auto-Risk Response

Immediate automated controls prevent escalation when danger is detected

02. AI-Driven Proactive Prevention

Predictive Safety Management

Forecasting fires and equipment anomalies in advance via AI analytics

Improved Stability & Lifecycle

Minimizing unplanned shutdowns through predictive maintenance (PdM)

03. Visibility in High-Risk Zones

Protecting workers in confined or high-risk areas via remote monitoring

Enabling rapid onsite judgment and emergency response via sensor integration

04. Regulatory Compliance & ESG

Systemizing compliance for safety laws via automated history management

Enhancing corporate safety trust and efficiency based on digital governance

Experience XISOM's 'Visible Factory'

Use Cases