Automation Departments of Chinese Academy of
Sciences said that 'Scenario - response' is a process
of conscious change which are Scenario elements to
solving Predictable and unpredictable, Known and
unknown, Simulation and Can not be simulated
situations, for it analysis is more important than the
process. Meanwhile, Scenario should also be a
collection containing many important parameters.
1.3 Literature Review
Now, in China research for this problem is still
relatively empty stage, however, study abroad is
relatively mature. Research institutions in developed
countries, Such as the U.S. NSF, UK e-Science etc.
had many years of research in emergency response
mechanism and also established emergency
management system which are more influential, as
U.S. 'national emergency response system',
European EUREKA program in the "major
emergency intelligent management system" (MEM
brain), Japanese 'Disaster Response System' (DRS)
etc.
Professor Huang Jun of Graduate School of
Chinese Academy of Sciences state from demand
aspect that we need the 'Scenario' method to deal
with emergency management of unexpected events
that we can not predict the circumstances. Some
studies have sucked context concept into the
traditional public emergencies to integrated the
context and management of public emergencies,
hoping that through the process of plan formulation
and context of the calling plan to improve operation
efficiency of the emergency management system
(Xu Youzhi, 2009) Some studies also will construct
a static relationship between objects based on the
workflow process of the static model and for the
emergency control of the dynamic model of
workflow and build support for dynamic
collaboration across the emergency management
system. (Xu Ruihua, 2008)
2 OUTLINE
a) Form the 'scene points' to the corresponding
'scene networks' by Neural network model,
then find the appropriate solution to the
problem from the model database and
decision support system.
b) Analysis the effect of the emergency plan
database to security management system.
c) Analysis the application of "Scenarios"
model in the library design.
d) Concluded that 'scenario - response ' model
can improve the practical application of the
security emergency management system.
3 METHODS AND APPROACHES
3.1 Overview
In terms of model building, including rough sets and
neural network processing section.
a) Rough set processing stage: According to
rough set of simplified rules and decision
rules on the 'scenario' data reduction,
structure the initial structure of neural
network to facilitate the training of neural
networks.
b) Good neural network parallel processing,
approximation, classification capabilities to
deal with such nonlinear problems risk
warning, Processing stage through the
rough set dealt with the "scenario" data into
early warning network, The related
'scenario' data on the impact of events as
the 'neurons' and the weight of the
combination model (Wang Bo, 2010)
3.2 Model
a) Extracted the 'scene' elements from the
incident, as entry in the hidden layer neural
network to combine mapping after putting
out emergency plans. (Wang Chengliang,
2010)
Figure 1: Artificial neural network model structure.
b) Nodes of input layer, hidden layer, and
output layer are designed totally on demand,
the transfer function of neural network
using Logsig algorithm, and learning
BASED ON 'SCENARIOS-RESPONSE' MODEL OF SECURITY PLANS FOR EMERGENCY MANAGEMENT
SYSTEM OF DATABASE DESIGN
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