烟气湿法脱硫石膏脱水机测试数据集
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本数据集基于专利CN102430276A所公开的烟气湿法脱硫石膏脱水机核心技术,经实验实际操作测试得出,主要特征: 1.变量贴合实际,聚焦专利指定的微孔陶瓷板/火山岩过滤材质、机械/气搅拌方式、单一/混合清洗模式,工况参数(浆液含固量22%-28%\真空度60-72kPa)契合工业场景,分布均匀。 2.核心性能优异,滤饼含水率9%-12.3%、滤液含固量10-26mg/L、脱水效率90.5%-93.8%,印证设备脱水效果与滤液品质优势,符合专利技术描述。 3.综合效益突出,能耗1.8-2.6kWh、工艺水消耗量1.9-2.6m³,运行稳定性 8.5-9.4分,体现低耗、稳定的特点。 4.指标关联严谨,真空度与脱水效率正相关、混合清洗优于单一清洗等,数据变化符合设备运行逻辑,无异常值。 5.数据规模充足、分布科学,呈连续正态分布特征,统计代表性强,可支撑技术优化与工况适配分析。
This dataset is developed based on the core technology of wet flue gas desulfurization gypsum dewatering machine disclosed in Patent CN102430276A, and verified through actual experimental operation tests. Its main features are as follows: 1. The variables are practical and focused on the patent-specified microporous ceramic plate/volcanic rock filter media, mechanical/gas stirring modes, and single/mixed cleaning modes. The operating parameters (slurry solid content: 22%-28%, vacuum degree: 60-72 kPa) match industrial scenarios and are uniformly distributed. 2. Excellent core performance is achieved, with the moisture content of filter cake being 9%-12.3%, solid content of filtrate being 10-26 mg/L, and dewatering efficiency being 90.5%-93.8%, which verifies the advantages of the equipment's dewatering effect and filtrate quality, and is consistent with the patent's technical description. 3. Outstanding comprehensive benefits are reflected: the energy consumption is 1.8-2.6 kWh, process water consumption is 1.9-2.6 m³, and the operational stability score ranges from 8.5 to 9.4, embodying the characteristics of low energy consumption and stable operation. 4. Strict correlations exist between indicators: vacuum degree is positively correlated with dewatering efficiency, mixed cleaning is superior to single cleaning, etc. The data changes conform to the operating logic of the equipment with no abnormal values. 5. The dataset has sufficient scale and scientific distribution, showing continuous normal distribution characteristics, with strong statistical representativeness, which can support technical optimization and working condition adaptation analysis.




