Full
Outline
To enhance the data parsing capability of mining machinery equipment based on the OPC UA network communication protocol, an OPC UA information parsing method based on multi-hop intelligent retrieval for mining machinery equipment was proposed. Firstly, a multi-hop intelligent retrieval model tailored for mining machinery equipment was designed in this method, which integrated GCN and RoBERTa networks to achieve multi-hop reasoning of equipment entities, thereby inferring unknown entity relationships and attributes. On this basis, an OPC UA-based system information model architecture was constructed, divided into four sub-models, including basic functional components, production equipment information models, operational progress information models, and safety monitoring information models. The sensor components of the machinery equipment were also instantiated and parsed. Finally, experimental analysis of the multi-hop intelligent retrieval model was conducted, and the OPC UA-based intelligent system information model was tested and validated. The results show that, compared to the relatively optimal MIMKGISI multi-hop intelligent retrieval method, the Hit@1 performance metric is improved by 1.7 percentage points in short-term contexts, the Hit@5 performance metric is improved by 1.2 percentage points, and the Hit@10 performance metric remains largely unchanged in long-term contexts.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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