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In China, cemented paste backfill (CPB) is a common treatment method after the exploitation of basic energy. The homogeneity of slurry influences the performance of CPB. However, the online monitoring and characterization of homogeneity lack relevant technologies and unified standards. This article discusses an online image analysis technique applied to the online monitoring of cemented paste backfill mixing, which is based on the evolution of the texture of images taken at the surface of the mixing bed. First, the grayscale distribution of the image obtained by the high-speed camera in the CPB preparation process was analyzed by Matlab and its variance (s2) was solved, and the texture features of the image were analyzed by the variance of grayscale distribution. Then, a homogeneity discriminant model ( c s t ) was established. The results show that the variance value of the grayscale distribution of the slurry image increases rapidly at first, then gradually decreases, and becomes stable in the final stage since it turns a constant value. When the s2 value tends to be stable, the slurry gradually reaches homogenization, and the discriminant coefficient of paste homogenization based on the homogenization discriminant model reaches 0.05. The homogenization prediction of CPB proves to be consistent with the backfill performance comparison results. The evolution of the texture allows obtaining important information on the evolution of different formulations during mixing, which can be used for intelligent monitoring of CPB preparation process. [ABSTRACT FROM AUTHOR]

Sclerotinia sclerotiorum is a well-known phytopathogenic fungus with a wide host range. Identifying novel mycoviruses in phytopathogenic fungi is necessary to develop novel strategies for plant health protection and contribute to understanding the origin of viruses. Six new mycoviruses with positive single-stranded RNA genomes co-infecting the hypovirulent strain SCH733 of S. sclerotiorum were identified using a metatranscriptomic approach, and their complete genome sequences were molecularly determined. These mycoviruses belong to the following five families: Narnaviridae , Mitoviridae , Deltaflexviridae , Botourmiaviridae , and Ambiguiviridae . Three of these mycoviruses belong to existing International Committee on Taxonomy of Viruses (ICTV)-recognized species. Two of these newly identified mycoviruses have unique genomic features that are significantly different from those of all known mycoviruses. Phylogenetic analysis revealed that these six mycoviruses included close as well as distant relatives of known mycoviruses, thereby providing new insight into virus evolution and classification. Mycovirus horizontal transmission and elimination experiments revealed that Sclerotinia sclerotiorum narnavirus 5 is associated with hypovirulence of S. sclerotiorum , although we have not shown that it is independently responsible for the hypovirulence phenotype. This study broadens the diversity of known mycoviruses infecting S. sclerotiorum and provides a clue toward limiting hypovirulence in S. sclerotiorum .