| With the development of communication technology in China,the development mode of traditional oil field is gradually moving to digital oil field.Digital oil field uses multi-hop technology to expand the network scale,and the sensor data relies on large-scale wireless network transmission.However,multi-hop technology will cause the defects of unequal distribution and untimely death of node.In order to improve the life of the digital oil field network,this study extends a NB-IoT module on some of the original wireless sensor network nodes to form a mixed node.Through the heterogeneity of the narrowband Internet of things and the wireless sensor network,the nodes transmit the data of other nodes as little as possible,and fundamentally reduce the energy consumption of the nodes.And we design a set of industrial monitoring system which can be accessed both inside and outside the factory,to make the data that collected by long-range industrial instrument can upload to the management software of Ali Cloud Platform reliably and stably,and the unified management and analysis of instrument data can be realized anytime and anywhere.The mainly research contents in this article including:(1)The functional and non-functional requirements of the field industrial monitoring system in digital oil field are analyzed in detail.The system framework is designed,which includes perception layer,communication layer,service layer and client layer.(2)For the mixed nodes added in Perception layer,the internal transmission rules of the mixed nodes are designed,and the internal data transmission of the mixed node is realized based on the serial communication mechanism.At the same time,for the deployment scheme of mixed nodes in the Perceptual layer,a mixed node deployment algorithm based on genetic algorithm is proposed from the point of view of deployment cost and sensor network survival time.The overall ideal of the algorithm is optimize the deployment location of mixed nodes by multi-objective optimization from the point of genetic evolution,which will maximize the lifetime of entire network.Simulations results show that the sensor node-mixed nodes communication mode of the proposed algorithm effectively overcomes the problem that the algorithm performance will decay with network range under the traditional communication mode,and guarantees the performance of algorithm in large-scale deployment.(3)For the heterogeneous network scheme in perception layer,the network transmission rules are designed.By allocating time slots to the sensor network nodes,the sensor network nodes can send and receive data synchronously with the mixed nodes in the specified channel,so as to avoid the energy waste of retransmitting data due to interference.(4)According to the application requirements of the upper layer of the industrial monitoring system,the communication layer chooses NB-IoT technology combined with ali cloud internet of things platform to achieve NB-IoT equipment access to the cloud platform based on MQTT protocol for topic remote communication.(5)According to the functional requirements of the management software of the system users,the rule engine data flow rules are designed to realize the real-time storage function of the cloud No SQL database.Through the development of the studio and the human-computer interaction application of the Internet of things,the functional interface design of the upper management software is completed.Through the system function test,the system function is good,the communication is stable and reliable,and meets the design requirements.The NB-IoT technology used in the industrial monitoring system designed in this article will officially evolve into one of the 5G standards in September 2020.It will have great significance to promote the development of industrial intelligence through the integration of narrowband Internet of things NB-IoT and industrial sensor network. |
