Safety On-Smart

safety on smart
  • The recent trend is that each of governments is tightening regulations regarding safety as the growth rate of industrial safety accidents increases every year.
  • The social demand on safe, convenient and cheerful environment is also increasing.
  • The reality is that high-priced industrial safety facilities are inadequate in small and medium industry sites while usually furnished in large corporations.
Industry
Needs the system to prevent, reduce and respond
promptly to industrial accidents

Labor
Demands safe working environment

Mgmt.
Needs to consider plans for reducing industrial accident-related costs
Needs the system to respond to enhancing safety-related laws

Gov./IT Ind.
Needs the model to apply advanced technologies
to industrial fields

The necessity of IoT-based intelligent
industrial safety system to predict
and prevent industrial
accidents
is emerging.


The necessity of IoT-based intelligent industrial safety system to predict and prevent industrial accidents is emerging.

Occurrence of industrial accidents
Occurrence of industrial accidents

Inadequate Response System
  • Inadequate early countermeasures cause large-scale damages to life and property.
  • Exceeds the scope of access and activities for private-level rescue and restoration
  • Causes secondary life damages to rescue team
  • The same kinds of accidents occur repeatedly owing to the failure to find the cause of accidents

Necessity for Integrated Safety Control
  • Technology to detect factors of accidents & disaster risks in real time
  • Prevents industrial accidents
  • Fast response system
  • Diversifies the methods of informing of accidents & disaster situations

Safety On-Smart


Open and extendible diagnosis/prediction system
for smart safety management


    • Real-time measurement of risk factors Real-time
      measurement
      of risk factors
    • Real-time measurement of risk factors Learning, diagnosis
      and prediction
      of accidents
      and disasters
    • Real-time measurement of risk factors Remote
      monitoring
      & management
    • Real-time measurement of risk factors IoT server
      platform
    • Real-time measurement of risk factors IoT device
      platform

SOS(Safety On-Smart) is a solution that monitors industrial environment information including all kinds of accidents, detects and warns against risk factors in real time, and predicts and prevents accidents in order to ensure safe working environment.

SOS(Safety On-Smart)

Integrated safety control
Integrated monitoring of accident factors
Prediction and prevention of accidents

SOS(Safety On-Smart)

Real-time detection
Real-time detection of accident factors
Free organization of sensors

SOS(Safety On-Smart)

Data management
Save accident factor data
Manage data history

SOS(Safety On-Smart)

Safety control
Real-time delivery of accident information
Use of all kinds of communication means
SOSSafety-On-Smart

SOS-Detector

SOS-Detector

  • Detects all kinds of environmental information in the fields.
  • Freely compatible with plug-in sensor modules.
  • Minimizes space constraint by mounting one sensor module in one device.
  • Operated by a small rechargeable battery owing to its low power consumption.
  • Organizes a mesh network without additional communication networks to transmit information as it is equipped
    with a wireless communication module.
  • Detects all kinds of environment information including fire, explosion, gas, smoke, flame, intensity of illumination, VOC, etc.

SOS-Detector

SOS-Gateway

SOS-Gateway

  • FOS-Gateway collects factory operation and safety information from FOS-Detector and Controller.
  • Provides interface so that FOS Detector and Controller interlock with IoT platforms.
  • Transmits factory operation and safety information to FOS-Platform.
  • Transmits control commands from FOS-platform to FOS-Detector and Controller.
  • Basically uses normal power and has a rechargeable battery in preparation for power failure.
  • Provides wireless and wired communication as it has TCP Ethernet and wireless communication modules.

SOS-Gateway

SOS-UNIBA

SOS-UNIBA

  • SOS-Platform builds IoT platform between Device and Gateway and provides IoT environment.
  • Saves all data incoming from Gateway to be utilized as big data without standardizing them.
  • SOS-Analyzer analyzes saved data.
  • Secures reliability and data security by communicating with only authorized IoT devices.

SOS-UNIBA

SOS-Analyzer

SOS-Analyzer

  • SOS-Analyzer processes, analyzes and standardizes data within FOS-Platform and save them into DB.
  • Analyzes data collected in the past, predicts risk factors and prevents accidents.
  • Comprehensively analyzes real-time data, predicts and warns of safety accidents in real time to prevent accidents.
  • In the case that specific data is not received for a certain period of time,
    notifies of abnormal communication status to solve related problems.

SOS-Analyzer

SOS-Cruzer

SOS-Cruzer

  • SOS-Cruzer receives data from SOS-Platform and provides real-time monitoring services.
  • Enables the user to use the services on the internet-connected PC, tablet PC, or mobile phone
    without any constraint of time and places.
  • Detects any change in data and discovers the cause of any accident through its collected data reporting function.
  • If any emergency takes places, alerts about the situation, displays locations and detailed information promptly on the 3D screen.
    – Alerts about the situation through warning lights, sirens and workers’ mobile phones to cope with any accident promptly.

SOS-Cruzer

Integrated safety management

Integrated-safety-management
  • Safety On-Smart integrates and manages safety management systems distributed according to facilities, components and space.
  • Allows the manager to integrate and manage safety information using one system without moving from place to place.
  • Allows the user to monitor all kinds of distributed data at a time and save time and costs.
  • Allows the user to reproduce distributed data into meaningful information for safety management by linking them with each other.
  • Allows the user to prevent accidents through integrated safety management and cope with any accident promptly at the beginning and prevent secondary accidents.
Integrated safety management
Conventional manufacturing field with management
systems distributed according to accident factors and space
Integration of safety management systems distributed
according to accident factors and space

Real-time Monitoring

Real-time-Monitoring
  • Safety On-Smart is based on web environment and realizes real-time monitoring.
  • Connects with SOS-Cruzer through an internet-connected device and controls it remotely without any constrain of time and place (PC, tablet PC, mobile device, etc.)
  • Inquires and analyzes accident factor data including hazardous gases, fire, explosion, vibration, etc in real time.
  • Displays collected data in graphs and checks the trends of data change intuitively.
  • Produces meaningful information for safety management by realizing report output according to period and facility.
Real-time measurement of all kinds of accident factors
Real-time measurement of all kinds of accident factors
Web-environment-based-real-time-monitoring
Web environment-based real-time monitoring

Intelligent Monitoring

Intelligent-Monitoring
  • Safety On-Smart accumulates accident factor data in the industrial fields through IoT-based sensor nodes and wireless network.
  • Predicts and prevents all kinds of industrial accidents by analyzing accumulated data through intelligent algorithm learning rules and patterns.
Analyze-data-by-algorithm
Predicts-and-prevents-all-kinds-of-accidents-through-big-data-and-algorithm
Predicts and prevents all kinds of accidents through big data and algorithm

Management of Risky Situations

Management-of-Risky-Situations
  • Eliminates safety blind spots as SOS-Device can be installed to detect accident factors in each industrial field without any restrictions on locations.
  • Detects, monitors and saves accident factors in real time to manage risky situations.
  • Warns of abnormal situation to build safe working environment.
  • Promptly warns situation room and worksites of any unexpected accidents caused by machine malfunction or workers’ mistakes to ensure prompt and early responses.
  • Prevents secondary accidents and minimizes life and property damages through prompt early responses and continuous monitoring.
Conventional-manufacturing-fields
Conventional manufacturing fields
with poor accident factor detection
and management system
Organize-system
Organize system
without any restrictions on place
Warn-by-various-means
Warn by various means
of communication

Establishment of Mesh Network

Establishment of Mesh Network
  • SOS-Device and Gateway form their own network as they have communication modules.
  • Safety On-Smart enables the user to organize network without installing additional communication networks in a factory with poor communication infrastructure.
  • Safety On-Smart enables the user to organize network in a factory where it is difficult to build up communication network owing to structural problems.
  • Safety On-Smart ‘s Mesh Network can transmit data even if there is any communication failure in a specific area.
Communication-module
Communication module
built-in Safety On-Smart Hardware
Organize-its-own-Mesh-Network
Organize its own Mesh Network

  • Examples of Application
    Control and monitoring of industrial
    accidents in the underground public pipelines
  • Examples of Application
    Industrial safety/ accident control system
    in LNG carrier block building yards
  • Examples of Application
    Real-time monitoring
    of industrial safety in SK Energy
  • Examples of Application
    Built the system for remote control
    of air wing equipment and facilities
No Contractor Project Name
1 HHI Co., Ltd. Extension and development of the control system to prevent accidents in the shipbuilding industry
2 HHI Co., Ltd. Development of IoT-based industrial safety system to monitor high-risk enclosed worksites
3 HHI Co., Ltd. Build the warning system to monitor explosive gas during coating and dryer work in steel structure pre-treatment processes
4 Hankook Metal
Co., Ltd.
Build the warning system to monitor the real-time temperature inside the chemical and paint storage tanks of a factory
5 Jeil Chemical
Corp.
Build the system to monitor suffocation and industrial accidents using oxygen, temperature and humidity sensors within the chemical plant