1.
INTELLIGENT SAFETY SYSTEM

2.
INTRODUCTION
• An intelligent maintenance system (IMS) is a system that
utilizes collected data from machinery in order to predict and
prevent potential failures in them.
• The occurrence of failures in machinery can be costly and even
catastrophic.
• In order to avoid failures, there needs to be a system which
analyzes the behavior of the machine and provides alarms and
instructions for preventive maintenance.
• Analyzing the behavior of the machines has become possible
by means of advanced sensors, data collection systems, data
storage/transfer capabilities and data analysis tools.

3.
• These are the same set of tools developed for prognostics.
• The aggregation of data collection, storage, transformation,
analysis and decision making for smart maintenance is called
an intelligent maintenance system (IMS).
•

4.
DEFINITION
• An intelligent maintenance system is a system that utilizes data
analysis and decision support tools to predict and prevent the
potential failure of machines.
• The recent advancement in information technology , computers,
and electronics have facilitated the design and implementation
of such systems.
• The key research elements of intelligent maintenance systems
consist of:
1. Transformation of data to information to knowledge and
synchronization of the decisions with remote systems

5.
2. Intelligent, embedded prognostic algorithms for assessing
degradation and predicting the performance in future
3. Software and hardware platforms to run online models
4. Embedded product services and life cycle information for
closed-loop product designs

6.
E-manufacturing and e-maintenance
• With evolving applications of tether-free communication
technologies (e.g. Internet) e-intelligence is having a larger
impact on industries.
• Such impact has become a driving force for companies to shift
the manufacturing operations from traditional factory integration
practices towards an e-factory and e-supply chain philosophy.
• Such change is transforming the companies from local factory
automation to global business automation.
• The goal of e-manufacturing is, from the plant floor assets, to
predict the deviation of the quality of the products and possible
loss of any equipment.

7.
• This brings about the predictive maintenance capability of the
machines.
• The major functions and objectives of e-manufacturing are: “(a)
provide a transparent, seamless and automated information
exchange process to enable an only handle information once
(OHIO) environment; (b) improve the utilization of plant floor
assets using a holistic approach combining the tools of
predictive maintenance techniques; (c) links entires Supply
Chain Management (SCM) operation and asset optimization;
and (d) deliver customer services using the latest predictive
intelligence methods and tether-free technologies.

8.
• The e-Maintenance infrastructure consists of several
information sector:
• Control systems and production schedulers
• Engineering product data management system
• Enterprise Resource Planning (ERP) systems
• Condition monitoring systems
• Maintenance scheduling (CMMS/EAM) systems
• Plant Assest Management (PAM)systems

9.
Hazard identification
• A formal process of hazard identification is performed by the
project team engineers and other experts at the completion of
the engineering design phase of each section of the process,
known as a Unit of Operation.
• This team performs a systematic, rigorous, procedural review of
each point of possible hazard, or "node", in the completed
engineering design.
• This review and its resulting documentation is called a HAZOP
study.
• A HAZOP study typically reveals hazardous scenarios which
require further risk mitigating measures which are to be
achieved by SIFs.

10.
• Via a Layer of Protection Analysis (LOPA) or some other
approved method, Integrity levels(IL) are defined for the SIFs in
their respective scenarios.
• The Integrity Levels may be categorized as Safety Integrity
Level (SIL) or Environmental Integrity Level (EIL).
• Based on HAZOP study recommendations and the IL rating of
the SIFs; the engineering (including the BPCS and the SIF
designs) for each unit operation is finalized.

11.
System design
• A SIS is engineered to perform "specific control functions" to
failsafe or maintain safe operation of a process when
unacceptable or dangerous conditions occur.
• Safety Instrumented Systems must be independent from all
other control systems the same equipment in order to ensure
SIS functionality is not compromised.

12.
Equipment
• The correct operation of an SIS requires a series of equipment
to function properly.
• It must have sensors capable of detecting abnormal operating
conditions, such as high flow, low level, or incorrect valve
positioning.
• A logic solver is required to receive the sensor input signal(s),
make appropriate decisions based on the nature of the
signal(s), and change its outputs according to user-defined
logic. The logic solver may use electrical, electronic or
programmable electronic equipment, such as relays, trip
amplifiers or programmable logic controllers.

13.
DIAGRAM