Optimization Mechanism Of On-site Operation And Maintenance Tasks In Communication Network Based On Reputation Value And Context Prediction

On-site operation and maintenance are both important means to ensure the safety and stability of the communication network.It is mainly responsible for on-site inspections,troubleshooting and repairs of network equipment and infrastructure in the area under its jurisdiction.Due to the diversified trend of technology,equipment and business,the complexity of the communication network structure is increasing.Problems such as heavy on-site operation and maintenance,many management problems,and low operating efficiency are becoming increasingly prominent,and urgent research and solutions are needed.At present,researches on optimization mechanism of on-site operation and maintenance tasks have made great progress,but there are still some limitations.In the aspect of task allocation,most of the existing research results consider the allocation of routine tasks,and the allocation methods of emergency tasks with high priority,timeliness and reliability are less involved.During the task execution,the existing research results are not perfect in modeling the context of on-site operation and maintenance of the communication network,and the information is not differentiated according to the user's ability when it is pushed.Moreover,the matching of information content does not take into account the differences of equipment characteristics,which cannot improve the efficiency of on-site operation and maintenance.Aiming at the shortcomings of the above two links in the existing research,this thesis studies the optimization mechanism of on-site operation and maintenance tasks in communication network,mainly from the following two steps:(1)An emergency task allocation mechanism based on comprehensive reputation value and regional prediction model is proposed to ensure the quality and timeliness of the emergency tasks.Firstly,based on the basic reputation value,work enthusiasm and work activity of operation and maintenance personnel,a comprehensive reputation value model is proposed.Secondly,a regional prediction model based on the movement mode of operation and maintenance personnel is established.Based on the above,an emergency task allocation mechanism based on the comprehensive reputation value and regional prediction model is proposed.The mechanism combines the reputation value requirements of emergency tasks and geographical location factors,and can efficiently complete the assignment of emergent tasks.Finally,the simulation results show that the mechanism effectively reduces the cost of task allocation and ensures the completion efficiency of emergent tasks.(2)An operation and maintenance information type and content push mechanism based on the context model is proposed.Firstly,combined with the characteristics of the operation and maintenance context in communication network,a multi-dimensional hierarchical operation and maintenance context model based on environmental characteristics are constructed.Secondly,the matching of operation and maintenance information type and content are distinguished.For the selection of information types,an operation and maintenance information type selection mechanism based on correlation characteristics is designed.After determining the type of information to be pushed,the content of the operation and maintenance information is matched and evaluated based on the characteristics of collaboration and popularity,and then,the information pushed to the operation and maintenance personnel is obtained.Finally,simulation experiments verify that the accuracy of the operation and maintenance context model is higher,the proposed mechanism has higher accuracy and recall and has a better overall performance.