- 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.
- 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
Learning, diagnosis
and prediction
of accidents
and disasters
Remote
monitoring
& management
IoT server
platform
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.
- Integrated safety control
- Integrated monitoring of accident factors
Prediction and prevention of accidents
- Real-time detection
- Real-time detection of accident factors
Free organization of sensors
- Data management
- Save accident factor data
Manage data history
- Safety control
- Real-time delivery of accident information
Use of all kinds of communication means
SOS-Detector
SOS-Gateway
SOS-UNIBA
SOS-Analyzer
SOS-Cruzer
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.
systems distributed according to accident factors and space
according to accident factors and space
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.
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.
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.
with poor accident factor detection
and management system
without any restrictions on place
of communication
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.
built-in Safety On-Smart Hardware
-
Control and monitoring of industrial
accidents in the underground public pipelines -
Industrial safety/ accident control system
in LNG carrier block building yards -
Real-time monitoring
of industrial safety in SK Energy -
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 |