CN108873829A - 一种基于梯度提升决策树的磷酸生产参数控制方法 - Google Patents
一种基于梯度提升决策树的磷酸生产参数控制方法 Download PDFInfo
- Publication number
- CN108873829A CN108873829A CN201810525087.2A CN201810525087A CN108873829A CN 108873829 A CN108873829 A CN 108873829A CN 201810525087 A CN201810525087 A CN 201810525087A CN 108873829 A CN108873829 A CN 108873829A
- Authority
- CN
- China
- Prior art keywords
- phosphoric acid
- phosphate rock
- ground phosphate
- consumption
- data sets
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- NBIIXXVUZAFLBC-UHFFFAOYSA-N Phosphoric acid Chemical compound OP(O)(O)=O NBIIXXVUZAFLBC-UHFFFAOYSA-N 0.000 title claims abstract description 134
- 229910000147 aluminium phosphate Inorganic materials 0.000 title claims abstract description 67
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 66
- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000003066 decision tree Methods 0.000 title claims abstract description 29
- 230000001737 promoting effect Effects 0.000 title claims description 7
- 239000002367 phosphate rock Substances 0.000 claims abstract description 73
- 238000012549 training Methods 0.000 claims abstract description 46
- 238000003860 storage Methods 0.000 claims abstract description 23
- OYPRJOBELJOOCE-UHFFFAOYSA-N Calcium Chemical compound [Ca] OYPRJOBELJOOCE-UHFFFAOYSA-N 0.000 claims abstract description 11
- 239000011575 calcium Substances 0.000 claims abstract description 11
- 229910052791 calcium Inorganic materials 0.000 claims abstract description 11
- 239000000284 extract Substances 0.000 claims abstract description 6
- 230000008569 process Effects 0.000 claims abstract description 5
- QAOWNCQODCNURD-UHFFFAOYSA-N Sulfuric acid Chemical compound OS(O)(=O)=O QAOWNCQODCNURD-UHFFFAOYSA-N 0.000 claims description 44
- 238000012360 testing method Methods 0.000 claims description 29
- 230000009467 reduction Effects 0.000 claims description 23
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 claims description 21
- 239000011574 phosphorus Substances 0.000 claims description 21
- 229910052698 phosphorus Inorganic materials 0.000 claims description 21
- 229910019142 PO4 Inorganic materials 0.000 claims description 16
- 239000010452 phosphate Substances 0.000 claims description 16
- NBIIXXVUZAFLBC-UHFFFAOYSA-K phosphate Chemical compound [O-]P([O-])([O-])=O NBIIXXVUZAFLBC-UHFFFAOYSA-K 0.000 claims description 16
- 230000007246 mechanism Effects 0.000 claims description 15
- 238000009826 distribution Methods 0.000 claims description 11
- 238000000513 principal component analysis Methods 0.000 claims description 11
- 238000010219 correlation analysis Methods 0.000 claims description 10
- 238000006243 chemical reaction Methods 0.000 claims description 9
- 238000000605 extraction Methods 0.000 claims description 9
- 238000012545 processing Methods 0.000 claims description 9
- 230000000694 effects Effects 0.000 claims description 8
- 238000000691 measurement method Methods 0.000 claims description 8
- 238000013507 mapping Methods 0.000 claims description 6
- 238000011049 filling Methods 0.000 claims description 4
- 238000010606 normalization Methods 0.000 claims description 4
- 230000002123 temporal effect Effects 0.000 claims description 4
- 239000000203 mixture Substances 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 241000208340 Araliaceae Species 0.000 claims 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims 1
- 235000003140 Panax quinquefolius Nutrition 0.000 claims 1
- 235000008434 ginseng Nutrition 0.000 claims 1
- 239000000843 powder Substances 0.000 abstract description 15
- 238000005259 measurement Methods 0.000 abstract description 11
- 238000004458 analytical method Methods 0.000 abstract description 6
- 230000004907 flux Effects 0.000 abstract description 6
- 239000002002 slurry Substances 0.000 abstract description 4
- 239000002253 acid Substances 0.000 abstract description 3
- 229910052500 inorganic mineral Inorganic materials 0.000 abstract description 3
- 239000011707 mineral Substances 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 abstract description 2
- 238000010801 machine learning Methods 0.000 abstract description 2
- 239000011159 matrix material Substances 0.000 description 19
- 230000006870 function Effects 0.000 description 17
- 238000011068 loading method Methods 0.000 description 10
- 230000000875 corresponding effect Effects 0.000 description 4
- 238000012952 Resampling Methods 0.000 description 3
- 238000000326 densiometry Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- OSGAYBCDTDRGGQ-UHFFFAOYSA-L calcium sulfate Chemical compound [Ca+2].[O-]S([O-])(=O)=O OSGAYBCDTDRGGQ-UHFFFAOYSA-L 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 235000021050 feed intake Nutrition 0.000 description 2
- 239000002994 raw material Substances 0.000 description 2
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 description 1
- 239000005864 Sulphur Substances 0.000 description 1
- 238000007792 addition Methods 0.000 description 1
- 239000001506 calcium phosphate Substances 0.000 description 1
- 229910000389 calcium phosphate Inorganic materials 0.000 description 1
- 235000011010 calcium phosphates Nutrition 0.000 description 1
- ZHZFKLKREFECML-UHFFFAOYSA-L calcium;sulfate;hydrate Chemical compound O.[Ca+2].[O-]S([O-])(=O)=O ZHZFKLKREFECML-UHFFFAOYSA-L 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 238000013501 data transformation Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 229910052602 gypsum Inorganic materials 0.000 description 1
- 230000002401 inhibitory effect Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000003825 pressing Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 230000017105 transposition Effects 0.000 description 1
- QORWJWZARLRLPR-UHFFFAOYSA-H tricalcium bis(phosphate) Chemical compound [Ca+2].[Ca+2].[Ca+2].[O-]P([O-])([O-])=O.[O-]P([O-])([O-])=O QORWJWZARLRLPR-UHFFFAOYSA-H 0.000 description 1
- 238000005406 washing Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32368—Quality control
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Feedback Control In General (AREA)
Abstract
Description
Claims (8)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810525087.2A CN108873829B (zh) | 2018-05-28 | 2018-05-28 | 一种基于梯度提升决策树的磷酸生产参数控制方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810525087.2A CN108873829B (zh) | 2018-05-28 | 2018-05-28 | 一种基于梯度提升决策树的磷酸生产参数控制方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108873829A true CN108873829A (zh) | 2018-11-23 |
CN108873829B CN108873829B (zh) | 2020-09-15 |
Family
ID=64335697
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810525087.2A Active CN108873829B (zh) | 2018-05-28 | 2018-05-28 | 一种基于梯度提升决策树的磷酸生产参数控制方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108873829B (zh) |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109858190A (zh) * | 2019-03-13 | 2019-06-07 | 江南大学 | 一种基于果蝇算法优化梯度提升回归树的青霉素发酵过程软测量建模方法 |
CN109886923A (zh) * | 2019-01-17 | 2019-06-14 | 柳州康云互联科技有限公司 | 一种用于互联网检测中基于机器学习的测量检测系统及办法 |
CN110716496A (zh) * | 2019-10-30 | 2020-01-21 | 南京理工大学 | 一种基于集成学习的智能控制系统异常预测方法 |
CN111160489A (zh) * | 2020-01-02 | 2020-05-15 | 中冶赛迪重庆信息技术有限公司 | 基于大数据的多维对标分析服务器、系统、方法及电子终端 |
CN111199307A (zh) * | 2019-12-03 | 2020-05-26 | 上海集成电路研发中心有限公司 | 基于决策树的生产线生产状态预测方法及系统 |
CN111444477A (zh) * | 2020-03-31 | 2020-07-24 | 南昌航空大学 | 基于梯度提升回归模型的玻璃绝缘子配方自动生成方法 |
CN112415892A (zh) * | 2020-11-09 | 2021-02-26 | 东风汽车集团有限公司 | 一种汽油机起动标定控制参数优化方法 |
CN112475586A (zh) * | 2020-10-12 | 2021-03-12 | 广州瑞松智能科技股份有限公司 | 一种焊接接头强度预测方法 |
CN113298429A (zh) * | 2021-06-21 | 2021-08-24 | 柳州市索创智能科技有限公司 | 一种自动化生产线的智能模拟评估方法及系统 |
CN117236793A (zh) * | 2023-11-10 | 2023-12-15 | 一夫科技股份有限公司 | 一种α型半水石膏性能测试方法及系统 |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2010157982A (ja) * | 2008-12-05 | 2010-07-15 | Sharp Corp | 画像処理装置、画像形成装置、画像処理方法、画像処理プログラム、記録媒体 |
CN104313312A (zh) * | 2014-10-13 | 2015-01-28 | 首钢总公司 | 一种用于球团矿配料的控制方法 |
CN105417512A (zh) * | 2016-01-25 | 2016-03-23 | 当阳市星光磷化有限公司 | 湿法磷酸自动化生产系统 |
CN105956404A (zh) * | 2016-05-11 | 2016-09-21 | 武汉钢铁股份有限公司 | 一种计算烧结矿铁原料消耗的方法 |
CN106203523A (zh) * | 2016-07-17 | 2016-12-07 | 西安电子科技大学 | 基于梯度提升决策树半监督算法融合的高光谱图像分类 |
CN106250461A (zh) * | 2016-07-28 | 2016-12-21 | 北京北信源软件股份有限公司 | 一种基于Spark框架利用梯度提升决策树进行数据挖掘的算法 |
US20180160200A1 (en) * | 2016-12-03 | 2018-06-07 | Streamingo Solutions Private Limited | Methods and systems for identifying, incorporating, streamlining viewer intent when consuming media |
CN111191712A (zh) * | 2019-12-27 | 2020-05-22 | 浙江工业大学 | 基于梯度提升决策树的印染定型机能耗分类预测方法 |
-
2018
- 2018-05-28 CN CN201810525087.2A patent/CN108873829B/zh active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2010157982A (ja) * | 2008-12-05 | 2010-07-15 | Sharp Corp | 画像処理装置、画像形成装置、画像処理方法、画像処理プログラム、記録媒体 |
CN104313312A (zh) * | 2014-10-13 | 2015-01-28 | 首钢总公司 | 一种用于球团矿配料的控制方法 |
CN105417512A (zh) * | 2016-01-25 | 2016-03-23 | 当阳市星光磷化有限公司 | 湿法磷酸自动化生产系统 |
CN105956404A (zh) * | 2016-05-11 | 2016-09-21 | 武汉钢铁股份有限公司 | 一种计算烧结矿铁原料消耗的方法 |
CN106203523A (zh) * | 2016-07-17 | 2016-12-07 | 西安电子科技大学 | 基于梯度提升决策树半监督算法融合的高光谱图像分类 |
CN106250461A (zh) * | 2016-07-28 | 2016-12-21 | 北京北信源软件股份有限公司 | 一种基于Spark框架利用梯度提升决策树进行数据挖掘的算法 |
US20180160200A1 (en) * | 2016-12-03 | 2018-06-07 | Streamingo Solutions Private Limited | Methods and systems for identifying, incorporating, streamlining viewer intent when consuming media |
CN111191712A (zh) * | 2019-12-27 | 2020-05-22 | 浙江工业大学 | 基于梯度提升决策树的印染定型机能耗分类预测方法 |
Non-Patent Citations (2)
Title |
---|
SUVOJIT MANNA 等: "A Statistical Approach to Predict Flight Delay Using Gradient Boosted Decision Tree", 《2017 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN DATA SCIENCE(ICCIDS)》 * |
陈宏 等: "基于梯度提升决策树的电力电子电路故障诊断", 《测控技术》 * |
Cited By (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109886923A (zh) * | 2019-01-17 | 2019-06-14 | 柳州康云互联科技有限公司 | 一种用于互联网检测中基于机器学习的测量检测系统及办法 |
CN109886923B (zh) * | 2019-01-17 | 2023-05-02 | 柳州康云互联科技有限公司 | 一种用于互联网检测中基于机器学习的测量检测系统及办法 |
CN109858190B (zh) * | 2019-03-13 | 2023-11-14 | 江南大学 | 一种基于果蝇算法优化梯度提升回归树的青霉素发酵过程软测量建模方法 |
CN109858190A (zh) * | 2019-03-13 | 2019-06-07 | 江南大学 | 一种基于果蝇算法优化梯度提升回归树的青霉素发酵过程软测量建模方法 |
CN110716496B (zh) * | 2019-10-30 | 2022-03-22 | 南京理工大学 | 一种基于集成学习的智能控制系统异常预测方法 |
CN110716496A (zh) * | 2019-10-30 | 2020-01-21 | 南京理工大学 | 一种基于集成学习的智能控制系统异常预测方法 |
CN111199307A (zh) * | 2019-12-03 | 2020-05-26 | 上海集成电路研发中心有限公司 | 基于决策树的生产线生产状态预测方法及系统 |
CN111199307B (zh) * | 2019-12-03 | 2023-06-02 | 上海集成电路研发中心有限公司 | 基于决策树的生产线生产状态预测方法及系统 |
CN111160489A (zh) * | 2020-01-02 | 2020-05-15 | 中冶赛迪重庆信息技术有限公司 | 基于大数据的多维对标分析服务器、系统、方法及电子终端 |
CN111444477B (zh) * | 2020-03-31 | 2023-03-21 | 南昌航空大学 | 基于梯度提升回归模型的玻璃绝缘子配方自动生成方法 |
CN111444477A (zh) * | 2020-03-31 | 2020-07-24 | 南昌航空大学 | 基于梯度提升回归模型的玻璃绝缘子配方自动生成方法 |
CN112475586A (zh) * | 2020-10-12 | 2021-03-12 | 广州瑞松智能科技股份有限公司 | 一种焊接接头强度预测方法 |
CN112415892A (zh) * | 2020-11-09 | 2021-02-26 | 东风汽车集团有限公司 | 一种汽油机起动标定控制参数优化方法 |
CN112415892B (zh) * | 2020-11-09 | 2022-05-03 | 东风汽车集团有限公司 | 一种汽油机起动标定控制参数优化方法 |
CN113298429A (zh) * | 2021-06-21 | 2021-08-24 | 柳州市索创智能科技有限公司 | 一种自动化生产线的智能模拟评估方法及系统 |
CN117236793A (zh) * | 2023-11-10 | 2023-12-15 | 一夫科技股份有限公司 | 一种α型半水石膏性能测试方法及系统 |
CN117236793B (zh) * | 2023-11-10 | 2024-02-06 | 一夫科技股份有限公司 | 一种α型半水石膏性能测试方法及系统 |
Also Published As
Publication number | Publication date |
---|---|
CN108873829B (zh) | 2020-09-15 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108873829A (zh) | 一种基于梯度提升决策树的磷酸生产参数控制方法 | |
CN103136539B (zh) | 接地网腐蚀速率等级预测方法 | |
CN107909227A (zh) | 超短期预测风电场功率的方法、装置及风力发电机组 | |
CN104569844B (zh) | 阀控密封式铅酸蓄电池健康状态监测方法 | |
CN103868891A (zh) | 一种油菜叶片氮素营养快速诊断及推荐追氮的方法 | |
Sogabe et al. | Optimization of decentralized renewable energy system by weather forecasting and deep machine learning techniques | |
CN113159439A (zh) | 一种作物产量的预测方法、系统、存储介质和电子设备 | |
CN115423163A (zh) | 一种流域短期洪水事件预测方法、装置及终端设备 | |
CN109508730A (zh) | 一种基于非线性svm算法的电离层相位闪烁检测方法 | |
CN112834927A (zh) | 锂电池剩余寿命预测方法、系统、设备及介质 | |
CN105867341A (zh) | 一种烟草加工设备的在线设备健康状态自检方法及系统 | |
CN109064039A (zh) | 一种农田土壤健康评价方法 | |
CN114498619A (zh) | 一种风电功率预测方法及装置 | |
CN109299830A (zh) | 一种基于墒情监测的水文预报系统及方法 | |
CN111160680A (zh) | 一种基于信息同化融合的农业干旱评估方法 | |
CN110826794A (zh) | 基于pso优化svm的电厂耗煤基准值滚动预测方法和装置 | |
CN103969412A (zh) | 一种基于群决策案例推理的溶解氧浓度软测量方法 | |
CN103279030B (zh) | 基于贝叶斯框架的动态软测量建模方法及装置 | |
CN116796799A (zh) | 无水文资料地区中小流域洪水降雨量阈值模型创建方法 | |
CN112700050B (zh) | 一种光伏电站超短期第1点功率预测方法及系统 | |
CN108898220A (zh) | 污水处理出水tp区间预测方法 | |
CN105243447A (zh) | 一种粮食产量预测方法及装置 | |
CN106154170A (zh) | 电池剩余容量的估算方法及系统 | |
Sharp et al. | A validation of APSIM nitrogen balance and leaching predictions. | |
CN103995966A (zh) | 一种基于遥测大数据的在轨运行卫星局部性能退化分析方法 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
CB03 | Change of inventor or designer information |
Inventor after: Zhan Xiaodan Inventor after: Qiu Zhenlu Inventor after: Shen Jiajie Inventor after: Liu Qiong Inventor after: Han Cailiang Inventor after: Chen Yichuan Inventor before: Qiu Zhenlu Inventor before: Shen Jiajie Inventor before: Liu Qiong Inventor before: Han Cailiang Inventor before: Chen Yichuan |
|
CB03 | Change of inventor or designer information | ||
GR01 | Patent grant | ||
GR01 | Patent grant |