An offshore wind power plant operation and maintenance training assessment system and its risk assessment method
A wind power plant, operation and maintenance technology, applied in the offshore wind power plant operation and maintenance training assessment system and its risk assessment field, can solve problems such as non-intuitiveness, and achieve the effect of breaking time and space constraints, improving training efficiency, and improving management benefits
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Embodiment 1
[0064] Embodiment 1 provides an offshore wind power plant operation and maintenance training assessment system, including:
[0065] The simulation module builds a virtual training scene of a wind farm through a spatial multi-fork tree, and reconstructs the operation and maintenance scene;
[0066] The human-computer interaction module receives the operator's gesture and voice information through virtual reality glasses and / or cameras, and judges the operator's intention;
[0067] The control module is used to control the simulation module to display corresponding scenes according to the user intention determined by the human-computer interaction module, so as to realize the interaction between the user and the virtual training scene.
[0068] Preferably, the offshore wind power plant operation and maintenance training assessment system also includes a data management module, the data management module provides the three-dimensional model required in the virtual training scene,...
Embodiment 2
[0098] The second embodiment provides a risk assessment method applied to the above-mentioned offshore wind power plant operation and maintenance training assessment system, see figure 1 shown, including the following steps:
[0099] S1. Determine the risk factors in the virtual training scene and construct a hierarchical structure: the risk factors include equipment, personnel, environment, and management;
[0100] S2. Calculate the relative weight of each risk factor;
[0101] S3. Calculate the overall risk degree of the operation and maintenance system in the virtual training scene by using the entropy value.
[0102] Wherein, in step S2, the following steps are included:
[0103] S101. Construct risk factor set: U={u 1 , u 2 , u 3 , u 4};
[0104] S102. According to the expert's evaluation of the risk degree of each risk factor, establish a rating set: V={0,10,20,40,60,80,90,100};
[0105] S103. Construct fuzzy mapping f:U→F(V), mapping f represents risk factor u ...
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