摘要
对于远程抄表系统相关信息的审计,传统的审计方法受到主体和客体因素的影响,使得审计结果与客观实际情况存在差异,其可靠性需要进一步提高。为此,提出基于可视化技术的远程抄表系统信息智能审计方法。统一处理抄表数据,将其处理为可视化数据,存储在可视化数据库中,同时,采用神经网络训练审计凭证摘要样本数据,将凭证摘要集合向量化处理后作为神经网络的输入,经过多次迭代后输出聚类结果,将凭证摘要聚类结果与可视化抄表数据同时输入到搭建的持续审计应用框架中,完成智能审计。实验结果表明:设计的基于可视化技术的远程抄表系统信息智能审计方法远程固体更新稳定、关键数据报文传输时延低,其整体可靠性得到了加强。
For the audit of remote meter reading system related information,the traditional audit method is affected by the subject and object factors,which makes the audit results different from the objective reality,and its reliability needs to be further improved.Therefore,an intelligent audit method of remote meter reading system based on visualization technology is proposed.At the same time,the neural network is used to train the sample data of audit voucher summary,and the voucher summary set is quantized as the input of the neural network.After several iterations,the clustering results are output,and the voucher summary clustering results and the visual meter reading data are input to the build-up data warehouse at the same time Continue to audit application framework,complete the intelligent audit.The experimental results show that the design of the system is stable and reliable.
作者
王鑫根
Wang Xingen(Guangdong Power Grid Co.,Ltd 180000)
出处
《现代科学仪器》
2021年第3期220-224,共5页
Modern Scientific Instruments
基金
南方电网科技项目:SZKJXM20170011。
关键词
可视化技术
远程抄表
信息处理
智能审计
Visualization technology
Remote meter reading
Information processing
Intelligent audit
