Event Detection and Reporting. The detection of an
event may be internal. A function is used to update the
status vector and to check the event-detection criteria.
An external agent can perform event detection. The
agent receives status reports and detects changes in the
state of the object. Once an event is detected, a report is
generated that contain information such as the event
identifier, type, priority, time of occurrence, and the
state of the object before and after the event. Event
reports may also contain values of other application-
specific status variables.
Trace Generation. To describe the dynamic behavior of
an object or a group of objects over a period of time,
event and status reports are recorded in time order as
monitoring traces. Such traces may be used for
postmortem analysis. There are two kinds of traces. A
complete trace contains all the monitoring reports
generated by the system since the beginning of the
monitoring session. A segmented trace is a sequence of
reports collected during a period of time.
7.4 Information Processing
After monitoring information is generated, it must be
processed. A monitoring service provides various
functional units as the followings. These units can be
combined in different ways to suit the monitoring
requirements.
Trace Processing. Monitoring traces may be
constructed and ordered in various ways to provide
different logical views of system activity over a period
of time. The selection criteria in determining how
monitoring traces are processed are in the followings.
(1)Generation, arrival time stamp, and other features of
report.
(2)Identity, priority, and other features of reporting
entity.
(3)Identity and type of the managed object to which the
report refers.
Information Validation. Performing validation and
plausibility tests on monitoring information to make
sure that the system has been monitored correctly is
another important monitoring activity. Validation is
performed according to certain validation rules.
Database Updating. Valid monitoring information is
used to maintain and update a representation of the
current status of a rural land system. A conceptual
database model of rural land system is constructed and
continuously updated to represent the current status of
the rural land system. There are two general
approaches to collecting the data for database updating
as the followings.
(1)Dynamic approach: user queries result in the
automatic operation of relevant sensors in
monitored objects, which collect the required data.
(2)Static approach: All possible monitoring data are to
be collected and stored for potential access by users.
The collection of data is independent of its use.
Information Combination. The combination is to
increase the level of abstraction of monitoring data.
With the help of the process, users can observe the
behavior of the system at a desired level of detail. Thus,
low-level primitive events and states are processed and
interpreted to give a higher-level view of complex
states and events.
Filtering and analysis. Modern management systems of
rural land use may produce thousands of alarms per
day, making the task of real-time performance
surveillance and fault management difficult. Due to the
large volume of alarms, system operators frequently
overlook or misinterpret them. To reduce the number of
alarms displayed on operators’ terminal, the
management systems of rural land use apply alarm
filtering procedures. On the other hand, management
systems of typical rural land use generate large
amounts of monitoring information. This results in
heavy wage of computation resources. Filtering is the
process of minimizing the amount of monitoring data
so that users only receive desired data.at a suitable level
of detail.
7.5 Dissemination and Presentation
Monitoring reports generated by objects are forwarded
to different users of such information, including human
users, managers, other monitoring objects and
processing entities. Several presentation techniques of
ArcView 2.1 (ESRI, 1994) can be used in generalized
systems to display configuration, performance and
other information.
8. CONCLUSIONS
One of effective methods for solving the problem of
monitoring rural land use is to look into a new theory
and related method for designing a framework for
implementing the monitoring under complex rural land
use environment. Thus, an approach to monitoring
rural land systems is developed to study the principle
and application of monitoring model to design and
implement the monitoring system. The monitoring
model concept and its definition are two keys to design
and implement the system. Research results for the
model indicate that this new approach has also many
other advantages such as simple model construction
process, easy correctness verification, management and
maintenance of the model, and easy integration with
196 International Archives of Photogrammetry and Remote Sensing. Vol. XXXII, Part 7, Budapest, 1998
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