GS&S provides diagnostic and remote diagnostic services for industrial machinery using their DASBOX system. They have mechanical engineers with condition monitoring certifications who perform on-site troubleshooting, testing, and data analysis. The DASBOX gathers diagnostic data from machines via common protocols and sensors to enhance monitoring and maintenance. It has customizable configuration, reliable operation, data storage and multiple monitoring functions. GS&S uses the DASBOX and their expertise to provide remote monitoring, performance analysis, and maintenance support to optimize customers' plant operations and productivity.

1. The DASBOX

2. Who we are
We provide diagnostic and remote diagnostic activities,
field service engineers for on-site activities for machine
troubleshooting and testing, rotating machine vibrational
analysis, trim balance, performance and surge test, data
acquisition, storage, transfer and analysis.
• Industrial service company
• Based in Florence - ITALY
• Oil & Gas sector
• High skilled mechanical engineers with ISO 18436
“Condition monitoring and diagnostic of machines”
certification
GS&S has successfully completed projects in more than 20
countries, working closely with clients such as Ge Oil & Gas
Nuovo Pignone and GE Measurement & Control Solutions .

3. What we do
GS&S operates worldwide and in all types of plants including
off-shore and remote locations (Bosiet certification- Opito):
 Optimize Plant process parameters and productivity
 Monitoring Plant performance and aging
 Predictive Analysis
 Optimize maintenance timing and method, reducing
unattended plant shutdown
 Global coverage and Remote Monitoring & Diagnosis
 Automated acquisition, storage and transfer of all plant
data
Our Expert technicians can operate quickly in any location
respecting international HSE procedures.

4. Our team using DASBOX
Fully developed by GS&S team, based on its long time field
service experience, the DASBOX is a server grade PCs, whose
function is to gather diagnostic data from different data
sources for both local and remote data recording and
analysis.
DASBOX is able to manage the main standard industrial
protocols (Modbus, EGD, OPC, etc.) The system has been
designed to be able to manage all the signals coming from all
field sensors (Pressure transmitter, RTDs, Thermocouples,
Voltage/Current probes, Vibration probes, etc.).
It is created in order to enhance plant control and monitoring
during the execution of critical tasks, such as emergency or
programmed and non-programmed maintenance activities, by
means of applying the latest available technologies.

5. Features
Customizable
Configurable
Reliable
Portable
Save costing
Multiple monitoring

6. Functions

7. Frontend
Acquisition:
● Process configuration
● Real time monitoring with proactive data delivery
● Real time elaboration (software scaling, virtual sensors, software alarms)
● Data storage into relational database
Elaboration:
● Vibration analysis
Visualization:
● Browser based, effective and dynamic User interface for displaying reading and
trend data
● Exploiting modern web features (HTML5, AJAX, Web Sockets)
A micro-service based set of components based on modern communication
standards. A very lightweight and portable solution.

8. Interface
 Develop a web based frontend able to wrap a solid, multiprotocol and
multidevice, production level industrial monitoring kernel
 Functional and performance scalability
 Component based in order to provide maximum provisioning flexibility
 Small footprint in terms of disk-space and memory usage for embedded systems
 Browser based, appealing and highly effective User Interface
 Start point towards a new model of remote maintenance service

9.  Technological
● Enabling multi-user collaboration tool for process configuration
● Adoption of timeseries databases to optimize data storage
● Exploiting more HTML5 technologies (web workers, local storage) to
improve user experience even further
Functional
● Experiment different deployment strategies effectively enabling
remote maintenance
● Improve analysis process by leveraging data science tools like machine
learning and artificial Intelligence
R&D on different aspects

10. Applying technical expertise and skills at scheduled term maintenance
and between intervals by remote monitoring:
 Borescope inspections
 Vibrations data collection and analysis
 Remote monitoring and real time performance analysis, with real time plot of
multiple engine health indicators
 Combustion Dynamics monitoring and automatic corrective actions
 Periodic maintenance
Application

11. Demo

14. Remote Diagnostic
• Real time machine data can be easily shared at the same time with field
personnel and with remote central engineering HQ.
• The constant collaboration of the entire diagnostic team (field and remote)
speeds up the troubleshooting of any kind of anomalies occurred in site.
• Customer plant can also be monitored by a skilled remote diagnostic
engineer’s team without the presence of technicians on site.
• Remote diagnostic allows the cost reduction avoiding the presence of the
diagnostic team and technicians in site.
• Remote diagnostic is very useful especially for remote and offshore sites.

15. Remote control access, monitoring, diagnosis
 Part of a quality long term service agreement
 Monitoring early changes of equipment behavior and supplying proper
maintenance as deemed necessary
 Monthly (typical), weekly or daily (if needed) Machine Train health monitoring
reports
 Better scoping and planning of next scheduled term maintenance
 Additional help when solicited
 Optional help from the service provider, when opportune Remote tuning of
control parameters, when such service is appropriate