WO2013177950A1 - 电解铝全厂控制系统 - Google Patents
电解铝全厂控制系统 Download PDFInfo
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- WO2013177950A1 WO2013177950A1 PCT/CN2013/000636 CN2013000636W WO2013177950A1 WO 2013177950 A1 WO2013177950 A1 WO 2013177950A1 CN 2013000636 W CN2013000636 W CN 2013000636W WO 2013177950 A1 WO2013177950 A1 WO 2013177950A1
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- WIPO (PCT)
- Prior art keywords
- management module
- production
- control system
- module
- management
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Links
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 title claims abstract description 31
- 229910052782 aluminium Inorganic materials 0.000 title claims abstract description 31
- 238000005868 electrolysis reaction Methods 0.000 title abstract description 3
- 238000004519 manufacturing process Methods 0.000 claims abstract description 103
- 238000005457 optimization Methods 0.000 claims abstract description 36
- 238000000034 method Methods 0.000 claims abstract description 24
- 230000010354 integration Effects 0.000 claims abstract description 19
- 230000000694 effects Effects 0.000 claims abstract description 5
- 238000004886 process control Methods 0.000 claims abstract description 4
- 238000007726 management method Methods 0.000 claims description 138
- 238000004458 analytical method Methods 0.000 claims description 36
- 238000007689 inspection Methods 0.000 claims description 33
- 238000005265 energy consumption Methods 0.000 claims description 21
- 239000000446 fuel Substances 0.000 claims description 19
- 238000009826 distribution Methods 0.000 claims description 16
- 238000012423 maintenance Methods 0.000 claims description 13
- 238000013439 planning Methods 0.000 claims description 13
- 238000012544 monitoring process Methods 0.000 claims description 12
- 239000000463 material Substances 0.000 claims description 10
- 238000003860 storage Methods 0.000 claims description 10
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 9
- 238000002360 preparation method Methods 0.000 claims description 8
- 238000005259 measurement Methods 0.000 claims description 7
- 239000002994 raw material Substances 0.000 claims description 7
- 238000004891 communication Methods 0.000 claims description 6
- 230000005611 electricity Effects 0.000 claims description 6
- 238000007619 statistical method Methods 0.000 claims description 6
- 238000012546 transfer Methods 0.000 claims description 5
- 238000007728 cost analysis Methods 0.000 claims description 3
- 238000007405 data analysis Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 238000001303 quality assessment method Methods 0.000 claims description 3
- 239000010865 sewage Substances 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 3
- 239000000047 product Substances 0.000 claims 8
- 239000012467 final product Substances 0.000 claims 3
- 238000009472 formulation Methods 0.000 claims 1
- 239000000203 mixture Substances 0.000 claims 1
- 230000002708 enhancing effect Effects 0.000 abstract 1
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 4
- 239000003546 flue gas Substances 0.000 description 4
- 238000000746 purification Methods 0.000 description 4
- 239000007789 gas Substances 0.000 description 3
- PNEYBMLMFCGWSK-UHFFFAOYSA-N aluminium oxide Inorganic materials [O-2].[O-2].[O-2].[Al+3].[Al+3] PNEYBMLMFCGWSK-UHFFFAOYSA-N 0.000 description 2
- 238000000354 decomposition reaction Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000003745 diagnosis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
-
- 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
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
-
- 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]
-
- 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
- Y02P90/80—Management or planning
Definitions
- the present invention relates to a control system, and more particularly to a system for implementing an electrolytic aluminum plant. Background technique
- the electrolytic aluminum plant is a typical process industrial enterprise.
- the production practice of domestic and foreign process industrial enterprises shows that simply improving the control level of the production equipment and seeking the local optimal input-output ratio is far lower than the input-output ratio of improving the overall management level.
- the success of modern enterprises depends not only on the level of equipment, technology and operation level. Its management level and overall coordination level will also play a huge role, and the establishment of the whole plant control system can be mature and scattered.
- the systems are assembled into a coordinated, overall optimized integrated system.
- control level of the domestic electrolytic aluminum plant still stays at the level of unit automation, that is, the control system is only for a certain workshop or link, and the lack of effective integration of many production status information is dispersed in each local production process, forming a so-called "automation island”. It is not yet possible to form a control system throughout the plant, which will not provide effective support for decision makers in electrolytic aluminum plants. Summary of the invention
- the present invention provides an electrolytic aluminum whole plant control system, which aims to eliminate the "automation island" of the electrolytic aluminum plant, improve the management level and the overall coordination level.
- the electrolytic aluminum whole plant control system of the invention comprises an information integration platform, a production management system and a whole plant optimization controller; the information integration platform is responsible for integrating the workshop data, and providing process control for the production management system and the whole plant optimization controller.
- Information The production management system receives the data from the information integration platform for processing, and provides production management information for the entire plant optimization controller; the entire plant optimization controller receives the production management information provided by the production management system for optimization and diagnosis and to the information integration platform and each
- the shop floor control system provides optimized and post-diagnostic signals.
- the information integration platform includes a real-time database and a relational database.
- the real-time database receives real-time data from various workshops through communication protocols and interfaces.
- the relational database receives relational data of various workshops through communication protocols and interfaces.
- the real-time data of the production process in the real-time database is transferred to the relational database through the interface.
- the production management system includes a plan management module, a dispatch management module, a quality management module, a statistical management module, a measurement management module, a cost management module, an energy management module, a device management module, and a release query module.
- the plan management module, the dispatch management module, the quality management module, the statistical management module, the measurement management module, the cost management module, the energy management module, and the device management module run on the application server, and the publishing query module runs on the web server.
- the plan management module has production plan preparation, original fuel quality plan preparation, economic and technical indicator plan preparation, workshop production plan tracking, product raw fuel quality plan tracking, economic and technical indicator plan tracking, production and operation plan number query, actual production and operation number. ⁇ Query, product yield analysis, product structure analysis, product output analysis function.
- the dispatch management module has production process information monitoring, comprehensive information query, production operation plan management, monthly production plan development, monthly comprehensive statistics, and production activity analysis functions.
- the cost management module has decomposition cost indicators, mid-term cost forecasts, determination of assessment costs, cost data analysis, manufacturing cost analysis, determination of assessment results, setting of monitoring cost items, monitoring period setting, manufacturing cost item data input, actual cost data transfer, and actual Manufacturing cost data transfer function.
- the energy management module has comprehensive energy consumption indicator statistics, main energy consumption indicator statistics, total energy consumption statistics, energy consumption statistics of each branch, incoming energy quality statistics, energy consumption planning, energy consumption planning release, energy consumption planning tracking. , energy structure and consumption analysis functions.
- the equipment management module has operational records, equipment inspection, condition monitoring, equipment accident management, status statistics, maintenance applications, equipment maintenance material requirements, equipment maintenance plans, equipment maintenance cycle analysis, and equipment accident analysis functions.
- the quality management module has quality inspection standards for production raw materials, quality inspection standards for production processes, quality inspection standards for final products, quality inspection of production materials, quality inspection of production processes, quality inspection of final products, statistical analysis of production materials, production process inspection statistics, and finally Product inspection statistical analysis and quality assessment functions.
- the measurement management module has metering of factory, factory and dumping materials, water, electricity, wind and gas metering, metering equipment inspection and verification, raw fuel inspection daily report, product shipping report, electricity distribution monthly report, new water distribution monthly report, industrial sewage distribution Monthly report, circulating water distribution monthly report function.
- the statistical management module has statistics of total industrial output value and output of major products, statistics of main technical and economic indicators, statistics of equipment operation status, statistics of product production, sales and storage status, statistics of raw fuel collection, consumption and storage, analysis of output output value, technical and economic indicators. Analysis, equipment operation status analysis, product production and sales analysis, original fuel consumption and storage analysis.
- the publishing query module can be from the plan management module, the dispatch management module, the quality management module, the statistical management module, the measurement management module, the cost management module, the energy management module, the device management module, the full process diagnostic information module, the optimization indicator information module, and the optimization operation.
- the required data is called in the instruction module, real-time database, and relational database.
- the whole plant optimization controller includes a full process diagnostic information module, an optimization indicator information module, and an optimized operation instruction module.
- the full process diagnostic information module diagnoses each process based on the data provided by the production management system, and stores the diagnostic results in a relational database and sends them to the shop floor control systems.
- the optimization indicator information module optimizes the process specifications of each process based on the number provided by the production management system, and stores the optimization results in a relational database and sends them to each workshop control system.
- the optimized operation instruction module obtains the optimized operation instruction according to the data provided by the production management system, and stores the optimized instruction in the relational database and sends it to each workshop control system.
- the invention can improve the management efficiency of the enterprise, optimize the management process, and finally realize the informationization overall to optimize the management of the internal resources of the enterprise, strengthen the production management and command, reduce the production cost, improve the product quality, and improve the overall management efficiency of the enterprise. aims. DRAWINGS
- FIG. 1 is a block diagram showing the structure of the present invention. detailed description
- the whole plant control system of electrolytic aluminum including information integration platform 1, production management system 2 and the whole plant optimization controller 3; information integration platform 1 is responsible for integrating the various workshop data, for the production management system 2 and the entire plant optimization control
- the device 3 provides process control information; the production management system 2 receives the data of the information integration platform 1 for processing, and provides production management information for the entire plant optimization controller 3; the plant-wide optimization controller 3 receives the production provided by the production management system 2
- Production management information is optimized and diagnosed and optimized and post-diagnostic signals are provided to the information integration platform 1 and the various plant control systems.
- the information integration platform 1 includes a real-time database 4 and a relational database 5.
- the real-time database 4 receives real-time data from various workshops through communication protocols and interfaces 6.
- the relational database 5 receives the relationship data of various workshops through the communication protocol and interface 6.
- the real-time data of the production process in the real-time database 4 is transferred to the relational database 5 via the interface.
- the production management system 2 includes a plan management module 21, a dispatch management module 22, a quality management module 23, a statistical management module 24, a metering management module 25, a cost management module 26, an energy management module 27, a device management module 28, and a publish query module 29.
- plan management module 21, the dispatch management module 22, the quality management module 23, the statistical management module 24, the metering management module 25, the cost management module 26, the energy management module 27, and the device management module 28 run on the application server, and the publish query module 29 runs on the Web server
- the plan management module 21 has production plan preparation, original fuel quality plan preparation, economic and technical indicator plan preparation, bulk raw fuel supply plan preparation, workshop production plan tracking, product raw fuel quality plan tracking, economic and technical indicator plan tracking, and bulk raw fuel.
- the dispatch management module 22 has production process information monitoring, comprehensive information query, production job plan management, monthly production plan development, monthly comprehensive statistics, and production activity analysis functions.
- the cost management module 26 has a decomposition cost indicator, a mid-term cost forecast, a determination of an assessment cost, a cost data analysis, a manufacturing cost analysis, a determination of an assessment result, a setting monitoring cost item, a monitoring period setting, a manufacturing cost item data input, and an actual cost data transfer, The actual manufacturing cost data is transferred to the function.
- the energy management module 27 has comprehensive energy consumption indicator statistics, main energy consumption indicator statistics, total energy consumption statistics, energy consumption statistics of each branch, incoming energy quality statistics, energy consumption planning, energy consumption planning release, energy consumption planning. Tracking, energy structure and consumption analysis capabilities.
- the equipment management module 28 has operational records, equipment inspection, condition monitoring, equipment accident management, status statistics, maintenance applications, equipment maintenance material requirements, equipment maintenance plans, equipment maintenance cycle analysis, and equipment accident analysis functions.
- the quality management module 23 has quality inspection standards for production raw materials, quality inspection standards for production processes, quality inspection standards for final products, quality inspection of production materials, quality inspection of production processes, quality inspection of final products, statistical analysis of production materials, production process inspection statistics, and finally Product inspection statistical analysis and quality assessment functions.
- the metering management module 25 has metering, factory and dumping materials, water, electricity, wind and gas metering, metering equipment inspection and verification, raw fuel inspection daily report, product shipping report, electricity distribution monthly report, steam distribution monthly report, gas distribution month Report, new water distribution monthly report, industrial sewage distribution monthly report, circulating water distribution monthly report function.
- the statistical management module 24 has industrial gross output value and main product output statistics, main technical and economic indicators statistics, equipment operation status statistics, product production, sales, storage status statistics, raw fuel collection, consumption, storage status statistics, output production value analysis, technical economy Indicator analysis, equipment operation status analysis, product production and sales analysis, original fuel consumption and storage analysis.
- the publishing query module 29 can issue a query module from the plan management module, the dispatch management module, the quality management module, the statistical management module, the measurement management module, the cost management module, the energy management module, the device management module, the full process diagnostic information module, and the optimization indicator information.
- the required data is called in the module, the optimized operation instruction module, the real-time database, and the relational database.
- the whole plant optimization controller 3 includes a full process diagnostic information module 31, an optimization indicator information module 32, and an optimization operation instruction module 33.
- the full process diagnostic information module 3 1 diagnoses each process based on the data provided by the production management system, and stores the diagnostic results in a relational database and sends them to the shop floor control systems.
- the optimization index information module 32 optimizes the process indicators of each process according to the data provided by the production management system, and stores the optimization results in a relational database and sends them to the workshop control systems.
- the optimized operation instruction module 33 obtains the optimized operation instruction according to the number provided by the production management system, and stores the optimized instruction in the relational database and sends it to each workshop control system.
- each workshop refers to electrolysis workshop, electrolytic flue gas purification, ultra-dense phase transportation, alumina storage and transportation, foundry workshop, rectification, raw anode workshop, air compressor station, raw material warehouse, roasting workshop and roasting flue gas purification.
- Workshop respectively equipped with electrolyzer control system, electrolytic flue gas purification control system, ultra-dense phase conveying control system, alumina storage and transportation control system, foundry control system, rectification control system, raw anode control system, air pressure Station control System, raw material warehouse control system, roasting plant control system, roasting flue gas purification control system control system.
- Each workshop is controlled by each workshop control system and manual operation.
Abstract
Description
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CN201210174356.8 | 2012-05-31 | ||
CN2012101743568A CN103454985A (zh) | 2012-05-31 | 2012-05-31 | 电解铝全厂控制系统 |
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Cited By (3)
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CN105929808A (zh) * | 2016-06-29 | 2016-09-07 | 重庆钢铁集团设计院有限公司 | 一种智能化城市生活垃圾焚烧发电管理系统 |
CN111850609A (zh) * | 2020-06-02 | 2020-10-30 | 中铝智能科技发展有限公司 | 基于数字孪生的铝电解管控系统 |
CN112785345A (zh) * | 2021-02-03 | 2021-05-11 | 贵州乌江水电开发有限责任公司 | 一种全方位发电燃料管理系统 |
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CN105467946B (zh) * | 2015-02-05 | 2018-04-20 | 贵阳铝镁设计研究院有限公司 | 一种铝电解生产精确感知与智能决策方法及mes系统 |
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WO2008018805A2 (en) * | 2006-08-09 | 2008-02-14 | Auckland Uniservices Limited | Process control of an industrial plant |
CN102193552A (zh) * | 2011-06-03 | 2011-09-21 | 南京林业大学 | 一种大规模定制家具制造车间信息采集监控系统及方法 |
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Cited By (3)
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CN105929808A (zh) * | 2016-06-29 | 2016-09-07 | 重庆钢铁集团设计院有限公司 | 一种智能化城市生活垃圾焚烧发电管理系统 |
CN111850609A (zh) * | 2020-06-02 | 2020-10-30 | 中铝智能科技发展有限公司 | 基于数字孪生的铝电解管控系统 |
CN112785345A (zh) * | 2021-02-03 | 2021-05-11 | 贵州乌江水电开发有限责任公司 | 一种全方位发电燃料管理系统 |
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