Disaster monitoring and early warning platform construction method based on SOA architecture

Abstract

The invention discloses a disaster monitoring and early warning platform construction method based on an SOA architecture. By using existing geological disaster monitoring and early warning, early warning is performed through manual inspection and monitoring and monitoring equipment threshold alarm; but due to the diversity and the uncertainty of factors inducing geological disasters, complex geographical environment factors are usually interpenetrated and blended and data management and evaluation become extremely difficult. By using the method of the invention, the above defect is solved. The low coupling characteristic of the SOA architecture is fully used to integrate an AI early warning service with the monitoring system, and simultaneously the advantage of a machine learning algorithm which is used to process complex data and accurate classification is used so that the data of each monitoring object is monitored in real time based on the risk assessment of a risk source and monitoring object evaluation. The grades of a series of geological disasters with different intensities which may occur in a danger area for a certain period of time are predicted, and for the characteristics of different risk areas, the various countermeasures of risk reduction are proposed to provide an auxiliary decision for the geological disaster monitoring and early warning.

Description

technical field [0001] The invention relates to a construction of an early warning platform, in particular to a construction method of a disaster monitoring and early warning platform based on an SOA framework. Background technique [0002] With the rapid development of Internet applications, especially large-scale comprehensive systems have become more and more complicated, and their businesses are numerous, so the cost of maintenance has become quite huge. [0003] The traditional system architecture has object-oriented and component-oriented development methods, but the object-oriented reuse mechanism is realized through inheritance, and its encapsulation is the abstraction of things, so it is difficult to form large reusable modules; component-oriented is the opposite of object-oriented The extension of development, although it puts more emphasis on loose coupling, its reusability is realized through the containment and aggregation of components. Existing component tech...

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to provide a solution to the above problems. Aiming at the high coupling characteristics of the traditional system architecture, the problem of information islands cannot be solved, and the shortcomings of low unity. Using the characteristics of the SOA architecture, it is easy to establish a set of management and maintenance. And the function of AI early warning is added. While reducing the frequency of human judgment, it also ensures that the accuracy of AI judgment is as high as possible. A method of building a disaster monitoring and early warning platform based on SOA architecture

Images