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Application And Research Of Remote Cost Control System In Power Supply Enterprises

Posted on:2021-05-19Degree:MasterType:Thesis
Country:ChinaCandidate:J GaoFull Text:PDF
GTID:2392330614955071Subject:Control engineering
Abstract/Summary:PDF Full Text Request
The traditional cost control system has been unable to meet the needs of current customers and power supply enterprises,and then put forward the design of remote cost control system.So how to design the remote fee control system,how to ensure the integrity of data calculation and how to access data efficiently are still the current research content.For the design of remote charge control system.First of all,it analyzes the requirements of the remote fee control system and the overall design,and then designs the hardware and software.After the completion of the system development,it is applied in the field,and the possible defects of the system are analyzed.Aiming at the problem of data calculation,such as daily electricity consumption budget,the common ergodic calculation method is used.Although this method can calculate the electric quantity,it can't budget efficiently in the case of massive data,and sometimes there is data error or loss,so it needs to modify the algorithm,use neural network algorithm to budget the electric quantity,and verify the correctness.Aiming at the problem of data access,in the system logic program,using SQL Server2012 database operation statement to manage the data.Although the distributed SQL Server 2012 database can improve the efficiency of data management,it is found that the efficiency of data access becomes low when the amount of data increases dramatically in the field trial.According to the emergence of this problem,the optimization operation of database is put forward in the system.The optimization method is mainly through the use of tables,query statements and indexes.Finally,the experimental results and evaluation of the optimized system,through the acceleration ratio and on-site trial,analyze the economic and social benefits of the remote cost control system.Figure 35;Table 11;Reference49...
Keywords/Search Tags:Power supply enterprise, remote charge control, neural network algorithm, database optimization method
PDF Full Text Request
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