| Under the background of the energy Internet,the types of energy covered by the smart park are gradually increasing.The number of terminal equipment access such as distributed new energy,electric vehicle charging piles and new power electronic devices in the park is increasing explosively,all of which have a significant impact on the power communication network of the park.In particular,the power terminals in the smart park have different communication requirements under different operating states,so that the traditional one-to-one correspondence communication method can no longer cope with the dynamic changes in terminal communication requirements.In reality,various wireless communication base stations are densely deployed in the park,however there must be a folding of communication coverage in the communication cooperation between heterogeneous communication networks.At this time,the power communication terminal working in the folded area will be interfered by other edge base stations,which will seriously affect the transmission efficiency and quality of the related power communication terminal.Based on the above problems,this paper studies the adaptive control method,network switching mechanism and interference suppression method of the smart park power wireless heterogeneous communication network.The specific research work of the paper is summarized as follows:Firstly,the characteristics of the power communication service in the smart park are analyzed and the existing wireless communication technology in the smart park is investigated.The concept of the communication coordination control technology in the smart park is proposed and the principle of network adaptation between the power service is summarized.Based on the principle of network adaptation and network adaptation,a campus network adaptation control method was constructed.Then a network signal coverage control and communication concentration control scheme is formulated,which provided technical support for the dynamic adaptation of power services and wireless communication technology in the park.Secondly,the topology structure of the power terminal communication nodes in the smart park is considered.A wireless heterogeneous network model and corresponding evaluation index function are constructed.The AHP decision-making structure is established,an AHP algorithm based on triangular fuzzy numbers is proposed to solve the attribute weights and network state values of heterogeneous networks.Then,a network switching mechanism is designed to meet the dynamic change of terminal communication requirements,which can realize the selection of communication scheme according to the network state value index.In the calculation example,the state values of the communication network in different scenarios are compared and the effectiveness of the proposed handover mechanism is fully verified.The results show that the proposed method has certain guiding significance in balancing the communication network resources of the smart campus.Finally,according to the power wireless heterogeneous network scenario of the smart park,the interference types of the wireless heterogeneous network in the park are divided.Based on the precollected network topology information of the communication base stations in the smart campus,the interference intensity between the base stations is calculated and the interference adjacency matrix of the wireless heterogeneous network in the smart campus is constructed.According to the principle of short-time Fourier transform,the wireless network signal collected by the power terminal nodes in the park is decomposed into multiple small bands,and then an algorithm based on network beamforming is proposed to solve the optimal solution of convergence.In this way,the maximum communication power of the micro base station in the park can be obtained,so as to realize the interference suppression of the wireless heterogeneous communication network of the smart park power.In the calculation example,the network throughput,communication rate improvement rate and throughput improvement rate under different scenarios are compared in detail,the effectiveness and advancement of the interference suppression method are verified. |