烟气污染物排放在线监控数据集

本数据集主要分两部分数据，第一部分是江苏省内某家火电厂的工况数据和末端排口数据，主要包括炉膛焚烧平均温度、烟气温度、烟气含氧量、氮氧化合物、二氧化硫、氯化氢等关键参数。第二部分是某垃圾焚烧厂多个锅炉的工况运行数据，主要包括烟尘、一氧化碳、炉膛内DCS温度、烟气流速、烟气湿度等工况参数数据，通过上述的工况及末端数据可以对企业的整体运行状态进行监测和监管。采集得到垃圾焚烧厂以及火电厂运行下的工况数据、用电数据以及末端排口数据，包括温度、烟气湿度、电流等监测点位的数据，因此可用于环保在线监测、互联网+智能监管、应急预案管理等APP的设计，并在此基础上形成了论文《基于CNN-LSTM的烟气污染物浓度预测方法研究》等知识产权，数据量503MB。

This dataset is mainly divided into two parts. The first part includes operating condition data and effluent discharge data from a thermal power plant in Jiangsu Province, covering key parameters such as average furnace incineration temperature, flue gas temperature, flue gas oxygen content, nitrogen oxides, sulfur dioxide, hydrogen chloride, and other relevant indicators. The second part contains operating data of multiple boilers in a refuse incineration plant, with key operating parameters including particulate matter, carbon monoxide, DCS temperature inside the furnace, flue gas flow rate, flue gas humidity, and so on. The aforementioned operating condition and effluent discharge data can support the monitoring and supervision of the overall operational status of the relevant enterprises. Collected data cover operating condition data, power consumption data and effluent discharge data from the thermal power plant and waste-to-energy plant during their normal operation, including data from monitoring points such as temperature, flue gas humidity, electric current and other metrics. Therefore, this dataset can be applied to the development of APPs for scenarios like online environmental monitoring, Internet+ intelligent supervision, emergency plan management and other related fields. Based on this dataset, intellectual property achievements including the paper *Research on Flue Gas Pollutant Concentration Prediction Method Based on CNN-LSTM* have been formed, with a total data size of 503 MB.

搜集汇总

背景与挑战

背景概述

该数据集包含江苏省某火电厂和某垃圾焚烧厂的烟气污染物在线监控数据，涵盖炉膛温度、烟气含氧量、氮氧化合物、二氧化硫、烟尘等关键参数，数据量503.6MB，共211个文件。这些数据用于环保在线监测、智能监管和应急预案管理，并支撑了相关学术研究如论文《基于CNN-LSTM的烟气污染物浓度预测方法研究》。