Research On Semantic Interoperability System Of Mine Equipment Based On Distributed Query

The recent development of IoT technology is extremely rapid.Concepts such as smart farms,smart cities,smart transportation,and smart mines have been continuously proposed in many fields.Among them,smart mines monitor real-time underground equipment and production processes.The analysis of monitoring results has improved the mine's automatic production capacity to a certain extent.However,the underground production environment of the mine is complex and changeable,the equipment is diverse and the number is alarming,and the problems of heterogeneous real-time data formats still exist.As a result,it is difficult to interact with the equipment.Usually,miners are required to manually operate the equipment and complete the mining work according to a fixed process.This not only causes waste of mine personnel,but also has many hidden safety hazards.Therefore,this paper proposes and studies the semantic interoperability system of mining equipment based on distributed query.This research combines semantic technology,distributed systems and edge computing frameworks and applies them to mine production activities,aiming to achieve fewer people in mine production.This article uses semantic technology to model mine equipment and production tasks.The model provides a unified way of describing mine data,so that equipment and production systems can understand and interact with each other.In addition,this paper refers to the intersection attribute of device model and task model,and proposes a task matching scheme based on compound inference.Through the calculation and reasoning of the system's revenue value,the task will be decentralized to the most suitable equipment,so as to improve the autonomous interaction ability of the equipment.The interoperating system proposed in this paper is implemented by storing and querying data between device nodes.In order to meet the real-time requirements of the mining system,this paper applies the distributed system and the edge computing framework to the interoperating system to take advantage of the computing power.And put the edge of the network under the storage capacity to achieve near-source data processing and in-situ feedback of decision-making.With reference to the P2 P system model,a decentralized distributed query framework is built on the edge of the mine.Based on the instability of equipment nodes in the mine production environment,this paper proposes the IM-Chord algorithm based on the traditional P2 P communication algorithm Chord.The algorithm can greatly reduce the complexity of maintaining communication nodes.Finally,the simulation of the mutual operating system mentioned in this paper is verified through experiments,which proves that the system effectively improves the automatic production efficiency of coal mines in mine production.The thesis has 38 figures,25 tables and 88 references.