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With the rapid development of power grid, the structure and technology of the secondary system in substations are also constantly innovating. The new generation of intelligent substations has achieved online monitoring functions for secondary equipment, making some state variables of relay protection equipment become observable indicators. Based on this, this paper proposes a novel relay protection equipment status evaluation strategy. Firstly, considering the fuzziness and uncertainty of the boundary division of relay protection evaluation levels, a relay protection risk assessment method based on normal cloud model has been proposed. Then, due to the particularity of historical statistical data, a weight calculation method combining analytical hierarchy process (AHP) and entropy weight method is adopted to eliminate subjective factors in the weight calculation process. Meanwhile, the equipment operation risk level was determined by calculating the certainty of the corresponding evaluation level for each indicator. Finally, in case study, the proposed method is used to evaluate the status of relay protection equipment, and the feasibility and accuracy of this method are verified through the analysis of the results. [ABSTRACT FROM AUTHOR]

Traumatic brain injury (TBI) is the leading cause of death and disability in children. Data regarding mode of traumatic brain injury and severity which is vital for prognostication and epidemiology is limited. The aim of this study is to correlate findings in neuroimaging with mode of injury and to study the outcome in relation to mode of injury. It is a prospective observational study in children between 1month to 18years of age who presented to the emergency department with head injury. 131 children out of a total of 5435 children seen in the emergency department over 6months presented with head injury. 51 children warranted neuroimaging and were included in the study. CT brain was abnormal in 40% (n=20) of a total of 51 patients. 11 (22%) children who fell from a height and 9 (18%) who sustained road traffic accident had CT evidence of intracranial bleed. 57%(N=29) with significant mode of injury had normal CT cervical spine and 55%(n=18) did not have skull fracture. CT brain was normal in 60% (n=31). About 13 % with fall at ground level, 15% with fall from a height had minimal disability. In this study we conclude that fall from a height is a serious cause of head injury with abnormalities in neuroimaging and mode of injury with abnormalties in neuroimaging do not correlate with the outcome. [ABSTRACT FROM AUTHOR]