ENVIRONMENT BIG DATA PREPROCESSING BASED ON OBJECT ORIENTED PETRI NET
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摘要: 通过大数据预处理与面向对象Petri理论结合,使数学模型应用到环境大数据预处理中,将模拟仿真数据与经预处理的在线监测数据进行误差分析。基于OPMSE仿真平台设定误差阈值范围,如果超出阈值范围,则采用物联网手段进行预警提示,从而再次进行数据预处理。监测数据校验通过后才能输出到环境综合管控平台的计算分析模块进行后续处理,可实现对环境管控平台数据采集和分析过程实时校验和预警。
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关键词:
- 面向对象Petri网 /
- 环境大数据 /
- 预处理 /
- 环境综合管控平台
Abstract: Through the combination of big data preprocessing and object-oriented Petri theory, the mathematical model was applied to the environmental big data preprocessing, and the error analysis between the simulation data and the preprocessed online monitoring data was carried out. Based on OPMSE simulation platform, the error threshold range was set. If it exceeded the threshold range, the internet of things was used for early warning to preprocess the data again. The monitoring data could be output to the calculation and analysis module of the integrated environmental management and control platform for subsequent processing after passing the verification, which realized the real-time verification and early warning of the data collection and analysis process of an integrated environmental management and control platform. -
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