CIESC Journal ›› 2019, Vol. 70 ›› Issue (2): 467-474.DOI: 10.11949/j.issn.0438-1157.20181353
• Process system engineering • Previous Articles Next Articles
Jian CAO1,2(),Peng MU1,2,Xiangbai GU1,3,Qunxiong ZHU1,2()
Received:
2018-11-16
Revised:
2018-11-26
Online:
2019-02-05
Published:
2019-02-05
Contact:
Qunxiong ZHU
通讯作者:
朱群雄
作者简介:
<named-content content-type="corresp-name">曹健</named-content>(1987—),男,博士研究生,<email>caojianbuct@163.com</email>|朱群雄(1960—),男,博士,教授,<email>zhuqx@mail.buct.edu.cn</email>
基金资助:
CLC Number:
Jian CAO, Peng MU, Xiangbai GU, Qunxiong ZHU. Automatic generation method of process knowledge based on P-graph[J]. CIESC Journal, 2019, 70(2): 467-474.
曹健, 牟鹏, 顾祥柏, 朱群雄. 基于P-图的流程知识自动生成方法[J]. 化工学报, 2019, 70(2): 467-474.
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URL: https://hgxb.cip.com.cn/EN/10.11949/j.issn.0438-1157.20181353
编号 | 操作单元 |
---|---|
1 | ({light},{light_A}) |
2 | ({light},{light_B}) |
3 | ({light},{light_M}) |
4 | ({light_A},{Ethylene}) |
5 | ({light_B},{Ethylene}) |
… | …… |
20 | ({HCR_B},{ Ethylene }) |
Table 1 Number of reaction unit
编号 | 操作单元 |
---|---|
1 | ({light},{light_A}) |
2 | ({light},{light_B}) |
3 | ({light},{light_M}) |
4 | ({light_A},{Ethylene}) |
5 | ({light_B},{Ethylene}) |
… | …… |
20 | ({HCR_B},{ Ethylene }) |
步骤 | P 集合 | M 集合 | δ[m] 集合 | 备注 |
---|---|---|---|---|
1 | Ethylene | ? | ? | initial |
2 | light_A | Ethylene | {Ethylene},{4} | |
3 | ? | Ethylene, light_A | {Ethylene},{4} +{light_A},{1} | solution 1 |
4 | light_B | Ethylene | {Ethylene},{5} | |
5 | ? | Eethylene, light_B | {Ethylene},{5}+ {light_B},{2} | solution 2 |
6 | light_A, light_B | Ethylene | {Ethylene},{4,5} | |
7 | light_B | Ethylene, light_A | {Ethylene},{4,5}+ {light_A},{1} | |
8 | ? | Ethylene, light_A, light_B | {Ethylene},{4,5}+ {light_A},{1}+ {light_B},{2} | solution 3 |
9 | C5_A | Ethylene | {Ethylene},{9} | |
10 | ? | C5_A, Ethylene | {Ethylene},{9}+ {C5_A},{6} | solution 4 |
11 | light_A, C5_A | Ethylene | {Ethylene},{4,9} | |
12 | C5_A | Ethylene, light_A | {Ethylene},{4,9}+ {light_A},{1} | |
13 | ? | C5_A,Ethylene,light_A | {Ethylene},{4,9}+{light_A},{1}+{C5_A},{6} | solution 5 |
? | ? | ? | ? | ? |
1278 | HCR_A, HCR_B | C5_A, C5_B, Ethylene,light_A,light_B,NAP_A,NAP_B | {Ethylene},{4,5,9,10,14,15,19,20}+{light_A},{1}+{light_B},{2}+{C5_A},{6}+{C5_B},{7}+{NAP_A},{11}+{NAP_B},{12} | |
1279 | HCR_B | C5_A,C5_B,Ethylene,HCR_A,light_A,light_B,NAP_A,NAP_B | {Ethylene},{4,5,9,10,14,15,19,20}+{light_A},{1}+{light_B},{2}+{C5_A},{6}+{C5_B},{7}+{NAP_A},{11}+{NAP_B},{12}+{HCR_A},{16} | |
1280 | ? | C5_A, C5_B, Ethylene, HCR_A, HCR_B, light_A, light_B, NAP_A, NAP_B | {Ethylene},{4,5,9,10,14,15,19,20}+{light_A},{1}+{light_B},{2}+{C5_A},{6}+{C5_B},{7}+{NAP_A},{11}+{NAP_B},{12}+{HCR_A},{16}+{HCR_B},{17} | solution 255 |
Table 2 Parameters of feasible solution set
步骤 | P 集合 | M 集合 | δ[m] 集合 | 备注 |
---|---|---|---|---|
1 | Ethylene | ? | ? | initial |
2 | light_A | Ethylene | {Ethylene},{4} | |
3 | ? | Ethylene, light_A | {Ethylene},{4} +{light_A},{1} | solution 1 |
4 | light_B | Ethylene | {Ethylene},{5} | |
5 | ? | Eethylene, light_B | {Ethylene},{5}+ {light_B},{2} | solution 2 |
6 | light_A, light_B | Ethylene | {Ethylene},{4,5} | |
7 | light_B | Ethylene, light_A | {Ethylene},{4,5}+ {light_A},{1} | |
8 | ? | Ethylene, light_A, light_B | {Ethylene},{4,5}+ {light_A},{1}+ {light_B},{2} | solution 3 |
9 | C5_A | Ethylene | {Ethylene},{9} | |
10 | ? | C5_A, Ethylene | {Ethylene},{9}+ {C5_A},{6} | solution 4 |
11 | light_A, C5_A | Ethylene | {Ethylene},{4,9} | |
12 | C5_A | Ethylene, light_A | {Ethylene},{4,9}+ {light_A},{1} | |
13 | ? | C5_A,Ethylene,light_A | {Ethylene},{4,9}+{light_A},{1}+{C5_A},{6} | solution 5 |
? | ? | ? | ? | ? |
1278 | HCR_A, HCR_B | C5_A, C5_B, Ethylene,light_A,light_B,NAP_A,NAP_B | {Ethylene},{4,5,9,10,14,15,19,20}+{light_A},{1}+{light_B},{2}+{C5_A},{6}+{C5_B},{7}+{NAP_A},{11}+{NAP_B},{12} | |
1279 | HCR_B | C5_A,C5_B,Ethylene,HCR_A,light_A,light_B,NAP_A,NAP_B | {Ethylene},{4,5,9,10,14,15,19,20}+{light_A},{1}+{light_B},{2}+{C5_A},{6}+{C5_B},{7}+{NAP_A},{11}+{NAP_B},{12}+{HCR_A},{16} | |
1280 | ? | C5_A, C5_B, Ethylene, HCR_A, HCR_B, light_A, light_B, NAP_A, NAP_B | {Ethylene},{4,5,9,10,14,15,19,20}+{light_A},{1}+{light_B},{2}+{C5_A},{6}+{C5_B},{7}+{NAP_A},{11}+{NAP_B},{12}+{HCR_A},{16}+{HCR_B},{17} | solution 255 |
编号 | 操作单元 | 处理能力/t | 能耗/(GJ?t-1) | 比率 |
---|---|---|---|---|
1 | ({light},{light_A}) | 20299.2 | 0.879551748 | 1∶0.06223 |
2 | ({light},{light_B}) | 107050.8 | 6.904969808 | 1∶0.47795 |
3 | ({C5},{C5_A}) | 50378 | 3.055076397 | 1∶0.46465 |
4 | ({C5},{C5_B}) | 66504 | 3.729234242 | 1∶0.19722 |
5 | ({NAP},{NAP_A}) | 144769.2 | 8.790563062 | 1:∶0.35801 |
6 | ({NAP},{NAP_B}) | 95888.4 | 13.87380214 | 1∶0.47678 |
7 | {HCR},{HCR_A}) | 60744 | 8.222360538 | 1∶0.34411 |
8 | ({HCR},{HCR_B}) | 66984 | 1.177027079 | 1∶0.05094 |
Table 3 Capacity and cost of operation unit
编号 | 操作单元 | 处理能力/t | 能耗/(GJ?t-1) | 比率 |
---|---|---|---|---|
1 | ({light},{light_A}) | 20299.2 | 0.879551748 | 1∶0.06223 |
2 | ({light},{light_B}) | 107050.8 | 6.904969808 | 1∶0.47795 |
3 | ({C5},{C5_A}) | 50378 | 3.055076397 | 1∶0.46465 |
4 | ({C5},{C5_B}) | 66504 | 3.729234242 | 1∶0.19722 |
5 | ({NAP},{NAP_A}) | 144769.2 | 8.790563062 | 1:∶0.35801 |
6 | ({NAP},{NAP_B}) | 95888.4 | 13.87380214 | 1∶0.47678 |
7 | {HCR},{HCR_A}) | 60744 | 8.222360538 | 1∶0.34411 |
8 | ({HCR},{HCR_B}) | 66984 | 1.177027079 | 1∶0.05094 |
编号 | 原料和消耗/t | 操作单元编号,处理量/t,能耗/(GJ?t-1) | 总能耗/(GJ?t-1) |
---|---|---|---|
1 | light(106125),C5(55420),NAP(165955),HCR(106440) | (2,106125,732790),(3,50378,153909),(4,5042,18802.8),(5,144769,1272600),(6,21185.5,293924),(7,60744,499459),(8,45696,53785.4) | 3025270 |
2 | light(106125),C5(50378),NAP(168040),HCR(106440) | (2,106125,732790),(3,50378,153909),(5,144769,1272600),(6,23271.2,322860),(7,60744,499459),(8,45696,53785.4) | 3035410 |
3 | light(106125),C5(55420),NAP(170837),HCR(60744) | (2,106125,732790),(3,50378,153909),(4,5042,18802.8),(5,144769,1272600),(6,26067.8,361659),(7,60744,499459) | 3039220 |
4 | light(106125),C5(50378),NAP(172923),HCR(60744) | (2,106125,732790),(3,50378,153909),(5,144769,1272600),(6,28153.4,390595),(7,60744,499459) | 3049360 |
5 | light(106125),C5(55420),NAP(200548),HCR(66984) | (2,106125,732790),(3,50378,153909),(4,5042,18802.8),(5,116775,1026520),(6,83772.7,1162250),(8,66984,78842) | 3173110 |
6 | light(106125),C5(50378),NAP(200548),HCR(66984) | (2,106125,732790),(3,50378,153909),(5,108403,952923),(6,92145,1278400),(8,66984,78842) | 3196870 |
7 | light(106125),C5(55420),NAP(194212),HCR(106440) | (2,106125,732790),(4,55420,206674),(5,144769,1272600),(6,49443,1272600),(7,60744,499459),(8,45696,53785.4) | 3451270 |
8 | light(106125),C5(55420),NAP(199094),HCR(60744) | (2,106125,732790),(4,55420,206674),(5,144769,1272600),(6,54325.2,153698),(7,60744,499459) | 3465220 |
编号 | 原料和消耗/t | 操作单元编号,处理量/t,能耗/(GJ?t-1) | 总能耗/(GJ?t-1) |
---|---|---|---|
1 | light(106125),C5(55420),NAP(165955),HCR(106440) | (2,106125,732790),(3,50378,153909),(4,5042,18802.8),(5,144769,1272600),(6,21185.5,293924),(7,60744,499459),(8,45696,53785.4) | 3025270 |
2 | light(106125),C5(50378),NAP(168040),HCR(106440) | (2,106125,732790),(3,50378,153909),(5,144769,1272600),(6,23271.2,322860),(7,60744,499459),(8,45696,53785.4) | 3035410 |
3 | light(106125),C5(55420),NAP(170837),HCR(60744) | (2,106125,732790),(3,50378,153909),(4,5042,18802.8),(5,144769,1272600),(6,26067.8,361659),(7,60744,499459) | 3039220 |
4 | light(106125),C5(50378),NAP(172923),HCR(60744) | (2,106125,732790),(3,50378,153909),(5,144769,1272600),(6,28153.4,390595),(7,60744,499459) | 3049360 |
5 | light(106125),C5(55420),NAP(200548),HCR(66984) | (2,106125,732790),(3,50378,153909),(4,5042,18802.8),(5,116775,1026520),(6,83772.7,1162250),(8,66984,78842) | 3173110 |
6 | light(106125),C5(50378),NAP(200548),HCR(66984) | (2,106125,732790),(3,50378,153909),(5,108403,952923),(6,92145,1278400),(8,66984,78842) | 3196870 |
7 | light(106125),C5(55420),NAP(194212),HCR(106440) | (2,106125,732790),(4,55420,206674),(5,144769,1272600),(6,49443,1272600),(7,60744,499459),(8,45696,53785.4) | 3451270 |
8 | light(106125),C5(55420),NAP(199094),HCR(60744) | (2,106125,732790),(4,55420,206674),(5,144769,1272600),(6,54325.2,153698),(7,60744,499459) | 3465220 |
R集合 | 原料量/t | P集合 | M集合 | 操作单元编号,处理量/t,能耗/(GJ?t-1) | 总能耗/(GJ?t-1) |
---|---|---|---|---|---|
light,C5,NAP,HCR | 106125,55420,165955,106440 | Ethylene | light,light_B,C5,C5_A,C5_B,NAP,NAP_A,NAP_B,HCR,HCR_A,HCR_B,Ethylene | (2,106125,732790),(3,50378,153909),(4,5042,18802.8),(5,144769,1272600),(6,21185.5,293924),(7,60744,499459),(8,45696,53785.4) | 3025270 |
Table 5 ABB results in MySQL
R集合 | 原料量/t | P集合 | M集合 | 操作单元编号,处理量/t,能耗/(GJ?t-1) | 总能耗/(GJ?t-1) |
---|---|---|---|---|---|
light,C5,NAP,HCR | 106125,55420,165955,106440 | Ethylene | light,light_B,C5,C5_A,C5_B,NAP,NAP_A,NAP_B,HCR,HCR_A,HCR_B,Ethylene | (2,106125,732790),(3,50378,153909),(4,5042,18802.8),(5,144769,1272600),(6,21185.5,293924),(7,60744,499459),(8,45696,53785.4) | 3025270 |
主语 | 谓词 | 宾语 |
---|---|---|
<http://localhost:2020/solution/1> | <http://localhost:2020/vocab/solution_id> | "1"^^<http://www.w3.org/2001/XMLSchema#integer> |
<http://localhost:2020/solution/1> | <http://localhost:2020/vocab/solution_rset> | "light,C5,NAP,HCR" |
<http://localhost:2020/solution/1> | <http://localhost:2020/vocab/solution_r_capacity> | "106125,55420,165955,106440" |
<http://localhost:2020/solution/1> | <http://localhost:2020/vocab/solution_pset> | "Ethylene" |
<http://localhost:2020/solution/1> | <http://localhost:2020/vocab/solution_mset> | "light,light_B,C5,C5_A,C5_B,NAP,NAP_A,NAP_B,HCR,HCR_A,HCR_B,Ethylene" |
<http://localhost:2020/solution/1> | <http://localhost:2020/vocab/solution_o_no_cap_cost> | "(2,106125,732790),(3,50378,153909),(4,5042,18802.8),(5,144769,1272600),(6,21185.5,293924),(7,60744,499459),(8,45696,53785.4) " |
<http://localhost:2020/solution/1> | <http://localhost:2020/vocab/solution_TCost> | "3025270" |
Table 6 RDF knowledge repository
主语 | 谓词 | 宾语 |
---|---|---|
<http://localhost:2020/solution/1> | <http://localhost:2020/vocab/solution_id> | "1"^^<http://www.w3.org/2001/XMLSchema#integer> |
<http://localhost:2020/solution/1> | <http://localhost:2020/vocab/solution_rset> | "light,C5,NAP,HCR" |
<http://localhost:2020/solution/1> | <http://localhost:2020/vocab/solution_r_capacity> | "106125,55420,165955,106440" |
<http://localhost:2020/solution/1> | <http://localhost:2020/vocab/solution_pset> | "Ethylene" |
<http://localhost:2020/solution/1> | <http://localhost:2020/vocab/solution_mset> | "light,light_B,C5,C5_A,C5_B,NAP,NAP_A,NAP_B,HCR,HCR_A,HCR_B,Ethylene" |
<http://localhost:2020/solution/1> | <http://localhost:2020/vocab/solution_o_no_cap_cost> | "(2,106125,732790),(3,50378,153909),(4,5042,18802.8),(5,144769,1272600),(6,21185.5,293924),(7,60744,499459),(8,45696,53785.4) " |
<http://localhost:2020/solution/1> | <http://localhost:2020/vocab/solution_TCost> | "3025270" |
1 | FriedlerF, FanL T, ImrehB. Process network synthesis: problem definition[J]. Networks, 1998, 31(2): 119-124. |
2 | RaymondR T, ChristinaD C, KathleenB A. P-graph approach to optimal operational adjustment in polygeneration plants under conditions of process inoperability[J]. Applied Energy, 2014, 135: 402-406. |
3 | 刘树明, 万峰, 杨宇, 等. 化工领域设备本体模型构建[J].华东理工大学学报, 2017, 43(3): 404-410. |
LiuS M, WanF, YangY, et al. Model of chemical domain device ontology constructing[J]. Journal of East China University of Science and Technology, 2017, 43(3): 404-410. | |
4 | EdwardC, PieterP, HuS S, et al. A performance assessment ontology for the environmental and energy management of buildings[J]. Automation in Construction, 2015, 57: 249-259. |
5 | 桂卫华, 岳伟超, 陈晓方, 等. 流程工业知识自动化及其在铝电解生产中的应用[J]. 控制理论与应用, 2018, 35(7): 887-899. |
GuiW H,YueW C,ChenX F. Process industry knowledge automation and its applications in aluminum electrolysis production[J].Control Theory & Applications, 2018,35(7):887-899. | |
6 | ZhangY Z, LuoX F, ZhaoY, et al. An ontology-based knowledge framework for engineering material selection[J].Advanced Engineering Informatics, 2015, 29: 985-1000. |
7 | ZhouQ, YanP, XinY. Research on a knowledge modeling methodology for fault diagnosis of machine tools based on formal semantics[J]. Advanced Engineering Informatics, 2017, 32: 92-112. |
8 | ZhouL, PanM, SikorskiJ J, alet . Towards an ontological infrastructure for chemical process simulation and optimization in the context of eco-industrial parks[J]. Applied Energy, 2017, 204:1284-1298. |
9 | ManuV, CharlesM E , JohcenT. An ontology-based analysis of the industry foundation class schema for building information model exchanges[J]. Advanced Engineering Informatics, 2015, 29: 940-957. |
10 | SoonjoK, BongcheolK, KyungikA, et al. Standardized exchange of plant equipment and materials data based on ISO 15926 methodology in unclear power plants[J].Annals of Nuclear Energy, 2018, 118: 185-198. |
11 | 文亮, 李娟, 刘智颖, 等. 基于概念层次网络的知识表示与本体建模[J]. 中文信息学报, 2018, 32(4): 66-73. |
WenL, LiJ, LiuZ Y, et al. A method of knowledge representation and ontology modeling based on hierarchical network of concepts[J]. Journal of Chinese Information Processing, 2018, 32(4): 66-73. | |
12 | ChenY J. Development of a method for ontology-based empirical knowledge representation and reasoning[J]. Decision Support Systems, 2010, 50: 1-20. |
13 | ChenB C, WanJ F, ShuL, et al. Smart factory of industry 4.0: key technologies, application case, and challenges[J]. IEEE Access,2018, 6(99): 6505-6519. |
14 | BorjaR F, JoseL M L. Private local automation clouds builts by CPS: potential and challenges for distributed reasoning[J].Advanced Engineering Informatics, 2017, 32: 113-125. |
15 | JamshaidA, ElizabethC, OmarK H, et al. Ontology usage analysis in the ontology lifecycle: a state-of-the-art review[J]. Knowledge-Based Systems, 2018, 50: 34-47. |
16 | MeganK, MarkF. Ontologies for transportation research: a survey[J]. Transportation Research Part C, 2018, 89: 53-82. |
17 | MuhammadN A, MuhanmmadW, MuhanmmadU G K, et al. A survey of ontology learning techniques and applications[J]. Database, 2018, 2018: 1-24. |
18 | EstanislaoM, FernandoR, MartaB. A knowledge-driven approach for process supervision in chemical plants[J]. Computers and Chemical Engineering, 2013, 59: 164-177. |
19 | LeeY C, EastmanC M, SolihinW. An ontology-based approach for developing data exchange requirements and model views of building information modeling[J].Advanced Engineering Informatics, 2016, 30: 354-367. |
20 | LiuJ, ZhengB J, LuoL M, et al. Ontology representation and mapping of common fuzzy knowledge[J]. Neurocomputing, 2016, 214: 184-195. |
21 | NaimeR K,SasanH A. A hybrid multi-criteria recommender system using ontology and neuro-fuzzy techniques[J]. Electronic Commerce Research and Applications, 2017, 21: 50-64. |
22 | 曹健, 牟鹏, 耿志强, 等.工业系统超结构模型应用研究进展[J].化工学报, 2017, 68(3): 801-810. |
CaoJ, MuP, GengZ Q, et al. Research progress and application of superstructure model for industrial systems[J].CIESC Journal, 2017, 68(3): 801-810. | |
23 | KathleenB A, RaymondR T. Fuzzy P-graph for optimal synthesis of cogeneration and trigeneration systems[J]. Energy, 2018, 154:258-268. |
24 | 许晓慧, 宋海华, 于兰平, 等.加速分支定界算法在化工过程合成中的应用[J]. 计算机与应用化学, 2011, 28(4): 451-457. |
XuX H,SongH H,YuL P ,et al. Application of accelerated branch and bound in process synthesis of chemical engineering[J]. Computers and Applied Chemistry, 2011, 28(4): 451-457. | |
25 | AlexandrosM S, IstvanH, FerencF, et al. An accelerated branch-and-bound algorithm for assignment problems of utility systems[J].Computers and Chemical Engineering, 2002, 26: 617-630. |
26 | 杜小勇, 李曼, 王珊. 本体学习研究综述[J]. 软件学报, 2006, 17(9): 1837-1847. |
DuX Y, LiM, WangS. A survey on ontology learning research[J]. Journal of Software, 2006, 17(9): 1837-1847. | |
27 | ZhangC, ZhouG H, LuQ, et al. Graph-based knowledge reuse for supporting knowledge-driven decision-making in new product development[J]. International Journal of Production Research, 2017, 4: 1-17. |
28 | 刘晓慧, 崔健, 蔡菲. 突发地质灾害应急响应知识地理本体建模及推理[J]. 地理与地理信息科学, 2018, 34(4): 1-6. |
LiuX H, CuiJ, CaiF. Geo-ontology modeling and reasoning of geohazard emergency response knowledge[J]. Geography and Geo-Information Science, 2018, 34(4): 1-6. | |
29 | MazenA, KhalidM M, MaqboolH. Automated ontology generation framework powered by linked biomedical ontologies for disease-drug domain[J]. Computer Methods and Programs in Biomedicine, 2018, 165: 117-128. |
30 | PatienceU U, EnobongM U, UdoinyangG I, et al. An ontology-based temporal scheduling and complexity reduction model for timetabling knowledge management [J]. Advances in Science, Technology and Engineering Systems Journal, 2017, 2(3): 1585-1591. |
31 | 商保鹏. 乙烯裂解炉炉群原料调度建模与优化[D]. 上海: 华东理工大学, 2014. |
ShangB P. Modeling and optimization for ethylene cracking furnace systems feed scheduling[D]. Shanghai: East China University of Science and Technology, 2014. |
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