Brittleness rule engine obtaining method easy to expand

Abstract

The invention provides a brittleness rule engine obtaining method easy to expand. The brittleness rule engine obtaining method easy to expand comprises a, a rule set comprising fuzzy expressions is submitted to an engine compiler and all fuzzy concepts are marked through specific definition symbols; b, the rule set is compiled through the engine compiler, so that all the fuzzy expressions are identified; c, all the fuzzy expressions are interpreted, so that operation codes of the same type are generated; d, non-fuzzy expressions are compiled, so that operation codes specifically corresponding to the non-fuzzy expressions are generated; e, other compiling work is completed, a brittleness rule engine is obtained according to the rule set of a compiled version. Processing related to fuzzy rules is set to be external calling, so that the expanding capacity of the fuzzy rules is improved, and modification is easy.

Description

technical field [0001] The invention relates to the field of IT operation and maintenance, in particular to an implementation method of an easily expandable brittle rule engine aimed at improving the intelligence and customization flexibility of the operation and maintenance system. Background technique [0002] With the in-depth development of information construction, information systems have increasingly become the key infrastructure for core business processing; in order to ensure the normal operation of IT resources such as networks, servers, and databases, high-quality maintenance is required; relying on manual maintenance of information systems The practice of primary maintenance can no longer meet the timeliness and accuracy requirements of operation and maintenance; in order to improve the quality of operation and maintenance and reduce the cost of operation and maintenance, the IT operation and maintenance system came into being. As the core component of the IT oper...

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Problems solved by technology

[0002] With the in-depth development of information construction, information systems have increasingly become the key infrastructure for core business processing; in order to ensure the normal operation of IT resources such as networks, servers, and databases, high-quality maintenance is required; relying on manual maintenance of information systems The practice of primary maintenance can no longer meet the timeliness and accuracy requirements of operation and maintenance; in order to improve the quality of operation and maintenance and reduce the cost of operation and maintenance, the IT operation and maintenance system came into being. As the core component of the IT operation and maintenance system, the rule base is the It is an important basis for realizing the functions of the maintenance system. With the continuous improvement of the requirements for automation and intelligence of the operation and maintenance system, on the one hand, the existing rule bases are all brittle rule bases, which cannot meet the actual needs of continuous enrichment and flexibility of operation and maintenance rules, such as When the load of a certain machine in the system is "overweight", it is required to generate an alarm and perform corresponding shunt processing. The definition of "overweight" in the implementation of the existing rule base is a fuzzy rule containing fuzzy concepts. It is easy and easy to solve, and often requires major modification and adjustment of the rule base, and is extremely error-prone; on the other hand, the functions and requirements of the operation and maintenance system are constantly improving. In addition to basic operation monitoring, it is also hoped that the operation and maintenance system can System optimization and planning provide analysis reference, etc., but the rules of different organizations and IT infrastructure systems are very different, which requires the operation and maintenance system to have higher adaptability and customization flexibility for different projects , which is difficult to satisfy in the existing brittle rule base

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