Software Consistency Checking Method for Distribution Terminal based on Chaotic Map

Abstract

Distribution terminal system software is the core carrier of its function realization and performance stability. In the process of development and operation and maintenance of distribution terminals, software versions are confusing and inconsistent with the archived versions due to technical upgrades, version management, and regulatory deficiencies. It makes some functions unable to operate normally, performance indicators can not be met, equipment on-line rate decreased, and seriously affecting the operation and maintenance and practicality of distribution automation system. In order to strengthen the software version control of distribution automation terminal equipment, the feature information of software version was extracted by analysing the executable files of terminal software, and then the priority was divided according to the feature information. The MD5 algorithm and CRC32 checking algorithm were used to calculate the comparison factor, which then was encrypted by using pseudo random code generated by Logistic chaotic map. The model and method of software version consistency detection for distribution terminal were established.