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Мониторинг отказов в информационной системе метрополитена

выпускная квалификационная работа магистра

Мониторинг отказов в информационной системе метрополитена

Abstract

Тема выпускной квалификационной работы: «Мониторинг отказов в информационной системе метрополитена». Данная работа посвящена усовершенствованию работы программы дежурного по станции метрополитена по созданию системы мониторинга отказов на языке программирования С++ для расчета вероятности возникновения не диагностируемых и подробной диагностики причин возникновения диагностируемых отказов. Задачи, которые решались в ходе исследования: 1. Изучение микропроцессорной системы централизации метрополитена. 2. Расчет вероятности возникновения не диагностируемых отказов. 3. Диагностирование возникающих отказов. 4. Разработка программного обеспечения мониторинга отказов информационной системы метрополитена. Работа проведена на базе АО «НИИ ТМ», где проводились все стендовые испытания, собирались результаты тестирования вероятности возникновения не диагностируемых отказов и мониторинга диагностируемых отказов. Проверялись различные условия отказов блоков ПКФР, БУСФЛ, БУС, БСУ в соответствии с кодами ошибок. В результате, было проведено тестирование вероятности отказов на стенде при увеличении скорости обмена данными и доказано соответствие расчетным и требуемым параметрам. Проведено тестирование системы на соответствие требованиям безопасности, согласно которым вероятность опасного отказа за один год не более 8,1 ∙10-5 на сигнальную точку. В результате тестирования было выявлено, что первый отказ возник через 1152 часа, что соответствует показателю 7,9∙10-6 отказ в год при требуемой вероятности отказа не более 8,1 ∙10-5 в год.

The theme of the final qualifying work: "Monitoring of failures in the information system of the subway." This work is devoted to improving the work of the metro station attendant's program to create a failure monitoring system in the C ++ programming language to calculate the probability of non-diagnosable and detailed diagnostics of the causes of diagnosed failures. Tasks that were solved during the study: 1. Study of the microprocessor-based subway centralization system. 2. Calculation of the probability of non-diagnosable failures. 3. Diagnosis of emerging failures 4. Development of software for monitoring failures of the metro information system. The work was carried out on the basis of JSC "NII TM", where all bench tests were carried out, the results of testing the probability of occurrence of undetectable failures and monitoring of diagnosed failures were collected. Various failure conditions of the PKFR, BUSFL, BUSF, BSU units were tested in accordance with the error codes. As a result, the testing of the probability of failures at the bench was carried out with an increase in the data exchange rate and the compliance with the calculated and required parameters was proved. The system was tested for compliance with safety requirements, according to which the probability of a dangerous failure in one year is no more than 8,1 ∙10-5 per signal point. As a result of testing, it was revealed that the first failure occurred after 1152 hours, which corresponds to the indicator of 7,9∙10-6 failure per year with the required failure probability no more than 8,1 ∙10-5 per year.

Keywords

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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