CN102592004B - System and method for on-line analysis and diagnosis of whole-process energy-consuming conditions of integrated iron and steel works - Google Patents
System and method for on-line analysis and diagnosis of whole-process energy-consuming conditions of integrated iron and steel works Download PDFInfo
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Abstract
The invention provides a system and a method for on-line analysis and diagnosis of whole-process energy-consuming conditions of integrated iron and steel works. The system is operated on an on-line diagnostic workstation (1), and comprises a driving program, a flow modeling and simulating module, a production data acquiring and processing module, a flow network simulating module, an energy-consuming computing and benchmark analyzing module, a production operating condition maintenance module and an online optimizing and diagnosing module which are in sequential connection. On one hand, the method can directly guide the integrated iron and steel works to carry out systematic and comprehensive energy-saving and emission-reducing diagnosis and planning, and on the other hand, the method as an important technical method can expand business scopes of professionalized iron and steel technology service companies, and enables the professionalized iron and steel technology service companies to give full play to the advantages to launch technology service work for energy saving and emission reduction of the integrated iron and steel works.
Description
Technical field
The technical field that the present invention relates to iron and steel enterprise's production whole process energy-saving and emission-reduction on-line system diagnosis, particularly a set of integrated iron and steel works carry out the method for production whole process production run situation on-line system diagnosis.
Background technology
Iron and steel manufacturing process is that a class is by difference in functionality but the working procedures of interrelated, mutual support, mutually restriction and multiple device and related facility complex process system that form, operation series connection integrated operation.At present developed into conversion and the utilization that comprises resource, the energy, production quality control and new product development, the large system of engineering of the aspects such as environmental protection and industrial ecology.Therefore the energy-saving and emission-reduction need of work of, carrying out iron and steel enterprise is implemented from the level of energy saving of system reduction of discharging.Iron and steel enterprise self not only, comprises all kinds of research institutions at present, all drops into a lot of energy aspect energy saving of system and energy saving technology lamp, has obtained many actively achievements, and to the whole industry, positive contribution has been made in energy-saving and emission-reduction.But a lot of iron and steel enterprises, especially middle-size and small-size iron and steel enterprise, very large in energy saving of system power that process is hampered, in energy-saving and emission-reduction process, too much pay close attention to the reducing energy consumption of concrete technology and link, lack the energy-saving and emission-reduction of the aspects such as systematicness, technique.The effect that causes using due to terminal on the one hand energy device energy conservation level affects energy saving of system, systematic energy-saving technology is not really brought into play its effect greatly on the other hand.
Based on iron and steel enterprise's energy saving of system, reduce discharging the present situation facing, after all be that iron and steel enterprise lacks the systematic diagnostic analysis method of whole production procedure, and then cause carrying out or during application system energy-conserving and emission-cutting technology/product, laying particular stress on local link efficiency, index or functional effect.For carrying out iron and steel enterprise's systematic diagnostic analysis of production whole process aspect, also there is no ripe method at present for using for reference reference.
Summary of the invention
Technical matters to be solved by this invention is: a kind of integrated iron and steel works full operation energy condition on-line analysis diagnostic system and method are provided, one aspect of the present invention can directly instruct iron and steel enterprise to carry out systematicness, comprehensive energy-saving and emission-reduction diagnosis and planning, can extend the scope of business for specialized iron and steel technical service company on the other hand, give full play to intrinsic advantage and carry out the energy-conserving and emission-cutting technology services of iron and steel enterprise a kind of important technical method is provided.
The present invention solves its technical matters and adopts following technical scheme: integrated iron and steel works' full operation energy condition on-line analysis diagnostic system operates on radiodiagnosis x workstation, comprises that connected successively driver, process modeling and emulation module, production data obtain to calculate with processing module, flow network emulation module, power consumption and to mark analysis module, production run situation maintenance module and on-line optimization diagnostic module;
Driver starts this on-line analysis diagnostic system, carries out being connected of data and picture with each database;
Process modeling and emulation module are realized iron and steel enterprise and are produced full-range modeling and process simulation;
Production data obtains extraction, examination, processing and the test with processing modules implement production data;
Flow network emulation module, by the corresponding corresponding monitoring position of production data, is realized the flow network emulation with information flow;
Power consumption is calculated and mark analysis module is obtained to process energy consumption and unit consumption, forms semiquantitative energy-saving and emission-reduction diagnosis;
Production run situation maintenance module is realized the information setting of resource, energy volume production consumption and the production run of producing each link;
On-line optimization diagnostic module complete each link operation conditions and resource, can volume production consumption present situation on-line optimization diagnosis.
The diagnostic method of described system, comprises the following steps:
S1) be enabled in the driver on radiodiagnosis x workstation (1), operation integrated iron and steel works full operation energy condition on-line analysis diagnostic system, and the picture organic linking providing by network and production scheduling central database (3), supplier factory database (4) and energy management and control central database (5);
The production technological process in each supplier factory workshop that logistics information flow process Tu, supplier factory's database (4) that S2) process modeling and emulation module provide according to production scheduling central database (3) provides, the energy medium workflow diagram that energy management and control central database (5) provides, realize between all terminal devices of production whole process, terminal device path location between path and operation, then according to material stream and the energy flow flow direction, realize modeling and process simulation;
S3) production data obtains with processing module and produces full-range modeling and process simulation result based on iron and steel enterprise, determines production data sampling parameters type and list; Then by with being connected of production scheduling central database (3), supplier factory database (4) and energy management and control central database (5), realize the extraction of production data, and carry out rationality examination and processing on this basis; This module is not carried out on-the-spot test by on-the-spot test parameter maintenance workstation (6) to monitoring the key parameter of important step simultaneously;
S4) flow network emulation module is based on produce full-range modeling and process simulation result based on iron and steel enterprise, it is corresponding that the field monitoring data that the production data of screening, processing and on-the-spot test parameter maintenance workstation (6) are obtained and corresponding monitoring position carry out, and realization is with the iron and steel production whole process model of information flow;
S5) power consumption is calculated and mark analysis module is obtained to process energy consumption and unit consumption according to the energy production consumption data of each production process in iron and steel production whole process model and the signature coefficient of various energy medium; Then process energy consumption calculating being obtained and unit consumption and theoretical optimization scope are analyzed, and form semiquantitative energy-saving and emission-reduction diagnosis;
S6) single devices, path and the operation of production run situation maintenance module from iron and steel production whole process model is configured the analyzing and diagnosing of level, operation conditions, bookkeeping level and automatization level four aspects, and analyzing and diagnosing result is delivered to inline diagnosis database (2);
S7) by on-line optimization diagnostic module, the technique of crucial production equipment or link, performance parameter are analyzed, parameter ability between production link or passage is carried out to the matching analysis, and combustion gas, steam, water quality and the electrical network four processes in iron and steel production whole process model is optimized to diagnosis.
Described method, the modeling of step S2 and the method for process simulation are: the method that adopts metallurgical process and graphical simulation, the energy medium workflow diagram that the production technological process in each supplier factory workshop that the logistics information flow process Tu, supplier factory's database (4) providing by means of production scheduling central database (3) provides, energy management and control central database (5) provide, realize between all terminal devices of production whole process, terminal device path location between path and operation, then according to material stream and energy flow, flow to implementation procedure emulation.
Described method, the examination of the production data of step S3 and disposal route are: the production history data of extracting are carried out to the Screening Treatment of data normality by digital filtering module, then according to the design objective of each parameter, carry out the examination of rationality magnitude, finally historical data is carried out to the statistics that Effective selection (rejecting seriously exceeding normal range abnormal data) extracts and the moon is counted.
Described method, the method for carrying out on-the-spot test to not monitoring the key parameter of important step is: carry concrete testing tool and go deep into that design parameter test is carried out at scene and rationality is screened (rationally examination compares with the normal range value of test parameter); Then testing parameter data is inputted to on-the-spot test parameter maintenance workstation (6), and be delivered to inline diagnosis workstation database (2) by iron and steel production data net.
Described method, the computing formula that step S5 obtains process energy consumption, unit consumption E is:
The method that forms semiquantitative energy-saving and emission-reduction diagnosis is: relatively calculate with theoretical scope process energy consumption and the unit consumption of obtaining, the space of each link process energy consumption of semi-quantitative diagnosis and unit consumption.
Described method, the method that step S6 carries out analyzing and diagnosing is: first, to reflecting that each single devices, path and operation operational factor carry out Measure of Process Capability and the computational analysis of process performance index, realize the diagnosis of production run situation, bookkeeping level and automatization level; Secondly, go deep into produced on-site process, the process management of single devices, path and operation operation is carried out to visual Diagnosis.
Described method, the method that step S7 is analyzed technique, performance parameter is: first, in conjunction with the analysis on its rationality diagnosis of fluctuating of actual motion technique and performance parameter historical data, secondly, in conjunction with design and theoretical technique and performance parameter index carry out actual motion control technique and performance parameter to marking; The method of parameter ability being carried out to the matching analysis is: the front and back process capability coupling of take is principle, the matching analyzing and diagnosing of the aspect such as processing apparatus ability, operation regulating and controlling before and after carrying out.
Described method, the method that step S7 is optimized diagnosis to combustion gas, steam, water quality and electrical network four processes is:
According to the optimum adapted principle of combustion gas, in conjunction with combustion gas, produce the operation conditions of consumption link and use scheduling present situation to carry out diagnosis and the evaluation of system configuration, system performance and traffic control to the gas burning system network in iron and steel production whole process model; Concrete diagnosis and evaluation method are: aspect system configuration, carry out the configuration diagnostics of the links such as gas ductwork layout, caliber, measurement instrument type and range, gas chamber configuration capacity and pressure, gas purification and processing, specifically in conjunction with the product consumption point of kind, flow, pressure parameter and the combustion gas of combustion gas, carry out a rationality diagnostic for above-mentioned aspect option and installment; Aspect system performance, mainly for the operation conditions of gas-purification, conveying and buffering link equipment, evaluate diagnosis; Aspect traffic control, according to principles such as coke-oven gas recyclings in combustion gas Optimum Matching principle and the rich situation of combustion gas, carry out the diagnosis of present situation for the combustion gas Reasonable of each production link on the one hand, on the other hand, in conjunction with product consumption, production scheduling situation and the buffering link of combustion gas, carry out the diagnosis of dynamic dispatching situation;
According to steam grade Reasonable, with, steam, rationally use nearby and the reasonable efficiency power generation principle of steam, in conjunction with each link steam quality demand, steam, produce consumption operation conditions and use scheduling present situation to carry out diagnosis and the evaluation of system configuration, system performance and traffic control to the vapour system network in iron and steel production whole process model; Concrete diagnosis and evaluation method are: aspect system configuration, carry out the configuration diagnostics of the links such as steam pipe system layout, caliber, measurement instrument type and range, steam recycling device, specifically product and matter, the product in conjunction with steam consumes the rationality diagnostic that steam points carries out above-mentioned option and installment; Aspect system performance, mainly for steam, produce the operation conditions diagnosis of consumption link; Aspect traffic control, on the one hand according to steam grade coupling and the principle used, carry out rational allocation nearby, on the other hand, respectively the steam temperature and pressure parameter of link of rationally control, guarantees the max cap. online of steam;
In conjunction with each link water quality requirement, water yield requirement, water system operation conditions and use scheduling present situation, the water system network model in iron and steel production whole process model is carried out to diagnosis and the evaluation of equipment configuration, equipment performance and traffic control aspect; Concrete diagnosis and evaluation method are: aspect equipment configuration, carry out that grid layout, caliber, measurement instrument type and range, water purify and the configuration diagnostics of the links such as processing, specifically in conjunction with the product consumption point of kind, flow, pressure parameter and the water of water quality, carry out a rationality diagnostic for above-mentioned aspect option and installment; Aspect equipment performance, the operation conditions that purifies, carries and cushion link equipment mainly for water is evaluated diagnosis; Aspect traffic control, on the one hand according to steel and iron industry water principle, (save and lay equal stress on increasing income, throttling is preferential, pollution treatment is this, cancel in line water, improve water use efficiency, realize multistage, tandem use, improve the cyclic utilization rate of water) and steel and iron industry water supply principle (change in the past the concept of " supplying water as required ", realize science water supply.By water quality and water temperature, be optimized water supply, set up the Living Water circulation system of enterprise, the muddy water circulation system, sewage circulating treating system, soft water closed circulating system and the clear water circulation system etc., the systemic circulation of Bu Gao enterprise water system, carries out dedicated water and specializes in, and reduces to greatest extent sewage load) carry out the diagnosis of present situation for the water Reasonable of each production link;
In conjunction with operation of power networks situation and use scheduling present situation, the supply and distribution network model in iron and steel production whole process model is carried out to diagnosis and the evaluation of equipment configuration, equipment performance and traffic control; Concrete diagnosis and evaluation method are: aspect equipment configuration, mainly to be configured the diagnosis of level for distribution relevant device (as transformer, motor, cable etc.); Aspect equipment performance, mainly for the diagnosis of the aspects such as power supplying and distributing equipment coupling, production run situation; Aspect traffic control, main externally coordination level and the comprehensive benefit of power purchase, self power generation are diagnosed;
And provide electric level and national for distribution management, fees policy for oneself in conjunction with integrated iron and steel works, implement the optimal diagnosis that integrated iron and steel works' Integrated Energy is recycled, its method is: in conjunction with the existing self generating sets level of integrated iron and steel works, electrical network, supply distribution management, fees policy, under the condition of overall economic efficiency maximum, reasonably optimizing diagnosis secondary energy reclaim the mode (be distributing generating, still sacrifice line loss centralized power generation) of generating.
Owing to also there is no a set of complete iron and steel enterprise's production whole process energy-saving and emission-reduction system diagnostics technology at present, therefore the present invention has following main beneficial effect:
One, proposes embedded iron and steel enterprise production whole process energy-saving and emission-reduction diagnostic techniques first.
Its two, can canbe used on line iron and steel enterprise production whole process energy-saving and emission-reduction Optimized Diagnosis.Periodically put into operation and can form the stage planning of iron and steel enterprise's production whole process energy-saving and emission-reduction.With respect to utilizing human resources to carry out for iron and steel enterprise production whole process energy-saving and emission-reduction diagnosis, can be by time shorten in 1/30.
The present invention is the method with integrated iron and steel works' production whole process energy-saving and emission-reduction inline diagnosis of independent intellectual property right.By the enforcement of the method, can realize the energy-saving and emission-reduction inline diagnosis of whole production procedure, and then provide systematic planning and guidance for integrated iron and steel works carry out energy-saving and emission-reduction work.
Accompanying drawing explanation
Fig. 1 is the structural representation of integrated iron and steel works of the present invention production whole process energy-saving and emission-reduction inline diagnosis method.
Fig. 2 is the enforcement schematic diagram of integrated iron and steel works of the present invention production whole process energy-saving and emission-reduction inline diagnosis method.
Fig. 3 is the structural representation of integrated iron and steel works of the present invention production whole process energy-saving and emission-reduction in-circuit diagnostic system.
In figure, 1: inline diagnosis workstation; 2: inline diagnosis database; 3: production scheduling central database; 4: supplier factory database; 5: energy management and control central database; 6: on-the-spot test parameter maintenance workstation; 7: production scheduling Center Project teacher station; 8: the workshop engineer station of supplier factory; 9: energy management and control Center Project teacher station.
Embodiment
The integrated iron and steel works' full operation energy condition on-line analysis diagnostic device the present invention relates to, is included in radiodiagnosis x workstation and inline diagnosis database, and inline diagnosis workstation is connected with iron and steel production data net by inline diagnosis database.
Described equipment, iron and steel production data net comprises production scheduling center subnet, supplier factory workshop subnet and energy management and control center subnet, they are interconnected by iron and steel enterprise's high-speed industrial Ethernet.
Described equipment, production scheduling center subnet comprises connected production scheduling central database and production scheduling Center Project teacher station, production scheduling central database access iron and steel enterprise high-speed industrial Ethernet.
Described equipment, supplier factory workshop subnet comprises connected supplier factory database and the workshop engineer station of supplier factory, database access iron and steel enterprise of supplier factory high-speed industrial Ethernet.
Described equipment, energy management and control center subnet comprises connected energy management and control central database and energy management and control Center Project teacher station, energy management and control central database access iron and steel enterprise high-speed industrial Ethernet.
Described equipment, is also connected to on-the-spot test parameter maintenance workstation on iron and steel enterprise's high-speed industrial Ethernet.
Referring to accompanying drawing, the method for integrated iron and steel works of the present invention production whole process energy-saving and emission-reduction inline diagnosis is elaborated.
Fig. 1 is the structural representation of integrated iron and steel works of the present invention production whole process energy-saving and emission-reduction inline diagnosis method.As shown in FIG., energy-saving and emission-reduction in-circuit diagnostic system proposed by the invention will realize seamless connection with energy management and control center, production scheduling center and main production link control system.
Fig. 2 is the enforcement schematic diagram of integrated iron and steel works of the present invention production whole process energy-saving and emission-reduction inline diagnosis method.As shown in FIG., in implementation process, minute six stages progressively implement.
Fig. 3 is the structural representation of integrated iron and steel works of the present invention production whole process energy-saving and emission-reduction in-circuit diagnostic system.
Iron and steel enterprise provided by the invention production whole process energy-saving and emission-reduction inline diagnosis method, specifically, based in iron and steel enterprise's energy management and control central control system, production scheduling central control system and terminal device PLC (programmable logic controller (PLC))/DCS (dcs) system-based, realize the extraction that iron and steel enterprise produces full-range modeling, emulation and production data.Secondly, the data of extracting are carried out to rationality examination and data processing, and coordinate and do not monitor the on-the-spot test of important step key parameter, set up the system flow model of iron and steel production whole process " material stream, energy flow and information flow ".Then, carry out the inline diagnosis assessment of each production link process energy consumption and single dielectric dissipation, realize semiquantitative energy-saving and emission-reduction diagnosis.Finally each link operation conditions and the energy, resource medium are produced to consumption present situation enforcement expert intelligence Optimized Diagnosis, realize iron and steel enterprise and produce full-range online energy-saving and emission-reduction diagnosis.
Described iron and steel enterprise produces full-range modeling, emulation and production data and extracts, its method is: first, be connected energy management and control center flow process picture, production scheduling center picture and workshop main body picture, " process modeling and the emulation module " by the present invention, developed realized whole iron and steel enterprise and produced full-range modeling and process simulation.Secondly, based on the full-range modeling of iron and steel enterprise and process simulation result, determine production data sampling parameters type and list.Then, by with being connected of energy management and control central database, production scheduling central database and workshop database, realize the extraction of production data.
The rationality of described extraction data is screened and is processed, and its method is: first, the production history data of extracting are carried out to the Screening Treatment of data normality by digital filtering module.Secondly, according to the design objective of each parameter, carry out the examination of rationality magnitude.Then, the historical data of required interval between diagnosis is carried out to the statistics that Effective selection extracts and the moon is counted.
Described expert intelligence Optimized Diagnosis, its method is: by " hard diagnostic module " and " soft diagnostic module ", realize the on-line optimization that each link operation conditions and the energy, resource medium produce consumption present situation and diagnose.
For " hard diagnostic module ", the method that the present invention proposes is from the matching analysis such as parameter abilities between the technological parameter comparative analysis of each crucial production equipment or link, crucial production equipment or the comparative analysis of link running performance parameters, front and back production link or passage.
For " soft diagnostic module ", the present invention mainly arranges that " water, electricity, gas He Qi” saves at Fourth Ring soft diagnosis submodule.Concrete module expert intelligence Optimized Diagnosis function comprises:
In conjunction with the optimum adapted principle of combustion gas, combustion gas, produce the operation conditions of consumption link and use scheduling present situation grid model to be carried out to diagnosis and the evaluation of the aspects such as system configuration, system performance and traffic control.
In conjunction with each link steam quality demand, steam, produce consumption operation conditions and use scheduling present situation vapour system network model to be carried out to diagnosis and the evaluation of the aspects such as system configuration, system performance and traffic control.The principle such as concrete employing " steam grade Reasonable with ", " steam is rationally used nearby " and " the reasonable efficiency power generation of steam (distributed and centralized consider choice) " is carried out reasonable recovery and the utilization of steam and is diagnosed.
In conjunction with each link water quality requirement, water yield requirement, water system operation conditions and use scheduling present situation, water system network model is carried out to diagnosis and the evaluation of the aspects such as equipment configuration, equipment performance and traffic control.
In conjunction with operation of power networks situation and use scheduling present situation, supply and distribution network model is carried out to diagnosis and the evaluation of the aspects such as equipment configuration, equipment performance and traffic control.Moreover, in conjunction with integrated iron and steel works, provide electric level and national for policies such as distribution management, charges for oneself, implement the optimal diagnosis that integrated iron and steel works' Integrated Energy is recycled (providing still other purposes of generating for oneself).
As shown in Figure 3, integrated iron and steel works' full operation energy condition on-line analysis diagnostic system, comprises " energy-saving and emission-reduction inline diagnosis workstation ", " energy management and control Center Project teacher station ", " the production scheduling Center Project teacher Zhan”,“ workshop engineer station of supplier factory " and " on-the-spot test parameter maintenance workstation ".
" energy management and control Center Project teacher station ", " the production scheduling Center Project teacher Zhan”He“ workshop engineer station of supplier factory " are the existing control system workstation of integrated iron and steel works, carry out respectively the control system equipment that energy management and control scheduling, production scheduling and supplier factory Workshop Production are controlled.
Energy-saving and emission-reduction inline diagnosis workstation is implemented hardware body as integrated iron and steel works' full operation energy condition in-circuit diagnostic system, comprises that engineer station, server and terminal display screen three parts form.Data and the picture of by TCP/IP network, setting up " energy-saving and emission-reduction inline diagnosis workstation database " and " energy management and control central database ", " production scheduling central database ”,“ supplier factory workshop database " and " on-the-spot test parameter maintenance workstation " are connected;
On-the-spot test parameter maintenance workstation is as portable terminal device, and specifically by required diagnosis but not on-the-spot test parameter maintenance workstation is not obtained, inputted to the parameter of on-line monitoring by manual testing.And realize data communication by TCP/IP network.
Integrated iron and steel works' full operation energy condition on-line analysis diagnostic method, comprises the following steps:
S1) with energy management and control center flow process picture, production scheduling center picture and workshop main body picture organic linking, by " process modeling and emulation module ", realize whole iron and steel enterprise and produce full-range modeling and process simulation.
The production technological process in the energy medium workflow diagram that " process modeling and emulation module " shows according to energy management and control center, the logistics information flow process Tu,Ge supplier factory workshop at production scheduling center, first realize between all terminal devices of production whole process, terminal device path location between path and operation, then according to material stream and the energy flow flow direction, realize modeling and process simulation.
S2) based on the full-range modeling of iron and steel enterprise and process simulation result, determine production data sampling parameters type and list.
S3) on the one hand, by with being connected of energy management and control central database, production scheduling central database and workshop database, realize the extraction of production data, and carry out rationality examination and processing on this basis.On the other hand, carry out and do not monitor the on-the-spot test of important step key parameter." with the flow network emulation module of information flow " finally proposing by means of the present invention forms the system flow model of iron and steel production whole process " material stream, energy flow and information flow ".
" with the flow network emulation module of information flow " on based on " process modeling and emulation module " basis, will be screened and process and the corresponding corresponding monitoring position of field monitoring data, and realization is with the flow network emulation of information flow.Comprising material stream and the two-part information flow of energy flow.
S4) by " process energy consumption and unit consumption are calculated mark analysis module ", carry out the inline diagnosis assessment of each production link process energy consumption and single dielectric dissipation, realize semiquantitative energy-saving and emission-reduction diagnosis.
" process energy consumption and unit consumption are calculated mark analysis module " first obtains process energy consumption and unit consumption according to the signature coefficient of the energy of each production process (primary energy, secondary energy) product consumption data and various energy medium according to following computing method.Secondly, the process energy consumption that calculating is obtained and unit consumption and theoretical optimization scope are analyzed, and form semiquantitative energy-saving and emission-reduction diagnosis.
S5) by means of above-mentioned related data, by " on-the-spot test parameter maintenance workstation ", in conjunction with " each link production run situation maintenance module " and " energy, resource medium produce consumption production run situation maintenance module ", realize the complete information of the aspects such as each link and the energy, resource medium product consumption, production run and set;
" each link production run situation maintenance module " and " energy, resource medium produce consumption production run situation maintenance module " is mainly configured the situation description of level, operation conditions, bookkeeping level and automatization level four aspects and sets from single devices level, path and operation level.
S6) by " hard diagnostic module " and " soft diagnostic module ", realizing the on-line optimization that each link operation conditions and the energy, resource medium produce consumption present situation diagnoses.
The method that the rationality of the extraction data of step S3 is screened and processed is: first, the production history data of extracting are carried out to the Screening Treatment of data normality by digital filtering module.Secondly, according to the design objective of each parameter, carry out the examination of rationality magnitude.Then, the historical data of required interval between diagnosis is carried out to the statistics that Effective selection extracts and the moon is counted.
The hard diagnostic module of step S6, for the matching analysis such as parameter abilities between the technological parameter comparative analysis from each crucial production equipment or link, crucial production equipment or the comparative analysis of link running performance parameters, front and back production link or passage.
The soft diagnostic module of step S6 saves soft diagnosis submodule for water, electricity, gas He Qi Fourth Ring.Concrete module expert intelligence Optimized Diagnosis function comprises:
In conjunction with the optimum adapted principle of combustion gas, combustion gas, produce the operation conditions of consumption link and use scheduling present situation grid model to be carried out to diagnosis and the evaluation of the aspects such as system configuration, system performance and traffic control.
In conjunction with each link steam quality demand, steam, produce consumption operation conditions and use scheduling present situation vapour system network model to be carried out to diagnosis and the evaluation of the aspects such as system configuration, system performance and traffic control.The principle such as concrete employing " steam grade Reasonable with ", " steam is rationally used nearby " and " the reasonable efficiency power generation of steam (distributed and centralized consider choice) " is carried out reasonable recovery and the utilization of steam and is diagnosed.
In conjunction with each link water quality requirement, water yield requirement, water system operation conditions and use scheduling present situation, water system network model is carried out to diagnosis and the evaluation of the aspects such as equipment configuration, equipment performance and traffic control.
In conjunction with operation of power networks situation and use scheduling present situation, supply and distribution network model is carried out to diagnosis and the evaluation of the aspects such as equipment configuration, equipment performance and traffic control.Moreover, in conjunction with integrated iron and steel works, provide electric level and national for policies such as distribution management, charges for oneself, implement the optimal diagnosis that integrated iron and steel works' Integrated Energy is recycled (providing still other purposes of generating for oneself).
Below in conjunction with embodiment, further describe the present invention.
The operation of one, " energy-saving and emission-reduction inline diagnosis workstation " startup " integrated iron and steel works' production whole process energy-saving and emission-reduction in-circuit diagnostic system ".Concrete step is as follows:
1, according to integrated iron and steel works, periodically carry out the demand of production whole process energy-saving and emission-reduction inline diagnosis, start operation " energy-saving and emission-reduction inline diagnosis workstation ”Shang“ integrated iron and steel works production whole process energy-saving and emission-reduction in-circuit diagnostic system " driver;
While 2, implementing operation first, first this system by TCP/IP network and energy management and control center flow process picture, production scheduling center picture and workshop main body picture organic linking, realizes whole iron and steel enterprise by " process modeling and emulation module " and produces full-range modeling and process simulation.If not implement first operation, directly call " iron and steel enterprise produces full-range modeling and process simulation result " that formed;
3,, based on the full-range modeling of iron and steel enterprise and process simulation result, generate " list of production data sampling parameters ";
4, in conjunction with " list of production data sampling parameters ", the monitoring position contrast that " integrated iron and steel works' production whole process energy-saving and emission-reduction in-circuit diagnostic system " produces full-range modeling and process simulation in conjunction with iron and steel enterprise, forms " production data sampling parameters list in database " and " on-the-spot test parameter list ";
5, start the production history data of extracting a nearest cycle that are connected with " energy management and control central database ", " production scheduling central database ”,“ supplier factory workshop database ", and carry out rationality examination and processing;
6, in conjunction with " on-the-spot test parameter list ", by " on-the-spot test parameter maintenance workstation ", carry out DATA REASONING, input and transmission.
Two, " on-the-spot test parameter maintenance workstation " completes supplementary test and the operation conditions modeling of production scene.Concrete step is as follows:
1, carry concrete testing tool and go deep into that design parameter test is carried out at scene and rationality is screened;
2, by testing parameter data input " on-the-spot test parameter maintenance workstation ", and by network delivery in " energy-saving and emission-reduction inline diagnosis workstation database ";
3, in conjunction with site monomer equipment level, path and operation hierarchical configuration level, operation conditions, bookkeeping level and automatization level four aspect on-the site analysis diagnosis, the situation of realization is described and is set.And by network delivery in " energy-saving and emission-reduction inline diagnosis workstation database "; Realizing the maintenance of " each link production run situation maintenance module " and " energy, resource medium produce consumption production run situation maintenance module " sets.
Three, " energy-saving and emission-reduction inline diagnosis workstation " completes concrete soft diagnosis and hard diagnosis.Concrete step is as follows:
1, start " process energy consumption and unit consumption are calculated mark analysis module " and carry out the inline diagnosis assessment of each production link process energy consumption and single dielectric dissipation, realize semiquantitative energy-saving and emission-reduction diagnosis.
2, start " the hard diagnostic module " of " integrated iron and steel works' production whole process energy-saving and emission-reduction in-circuit diagnostic system ", from the matching analysis such as parameter abilities between the technological parameter comparative analysis of each crucial production equipment or link, crucial production equipment or the comparative analysis of link running performance parameters, front and back production link or passage.
3, start " the soft diagnostic module " of " integrated iron and steel works' production whole process energy-saving and emission-reduction in-circuit diagnostic system ", " water, electricity, gas He Qi” saves at Fourth Ring soft diagnosis submodule, realizes concrete soft diagnosis in click successively.Concrete implementation method is:
In conjunction with the optimum adapted principle of combustion gas, combustion gas, produce the operation conditions of consumption link and use scheduling present situation grid model to be carried out to diagnosis and the evaluation of the aspects such as system configuration, system performance and traffic control.
In conjunction with each link steam quality demand, steam, produce consumption operation conditions and use scheduling present situation vapour system network model to be carried out to diagnosis and the evaluation of the aspects such as system configuration, system performance and traffic control.The principle such as concrete employing " steam grade Reasonable with ", " steam is rationally used nearby " and " the reasonable efficiency power generation of steam (distributed and centralized consider choice) " is carried out reasonable recovery and the utilization of steam and is diagnosed.
In conjunction with each link water quality requirement, water yield requirement, water system operation conditions and use scheduling present situation, water system network model is carried out to diagnosis and the evaluation of the aspects such as equipment configuration, equipment performance and traffic control.
In conjunction with operation of power networks situation and use scheduling present situation, supply and distribution network model is carried out to diagnosis and the evaluation of the aspects such as equipment configuration, equipment performance and traffic control.Moreover, in conjunction with integrated iron and steel works, provide electric level and national for policies such as distribution management, charges for oneself, implement the optimal diagnosis that integrated iron and steel works' Integrated Energy is recycled (providing still other purposes of generating for oneself).
More than explanation is only one embodiment of the present of invention, can not limit the present invention, and the equivalence that every those of ordinary skills carry out the present invention is replaced, as long as be included within the scope of claim of the present invention, all belongs to the scope of protection of the invention.
Claims (9)
1. the full operation energy of integrated iron and steel works condition on-line analysis diagnostic system, is characterized in that:
It is upper that this system operates in inline diagnosis workstation (1), and it comprises that connected successively driver module, process modeling and emulation module, production data obtain and calculates with processing module, flow network emulation module, power consumption and to mark analysis module, production run situation maintenance module and on-line optimization diagnostic module;
Driver module, starts this on-line analysis diagnostic system, carries out being connected of data and picture with each database; Be specially: be enabled in the driver on radiodiagnosis x workstation (1), operation integrated iron and steel works full operation energy condition on-line analysis diagnostic system, and the picture organic linking providing by network and production scheduling central database (3), supplier factory database (4) and energy management and control central database (5);
Process modeling and emulation module, realize iron and steel enterprise and produce full-range modeling and process simulation; Be specially: the energy medium workflow diagram that the production technological process in each supplier factory workshop that the logistics information flow process Tu, supplier factory's database (4) providing according to production scheduling central database (3) provides, energy management and control central database (5) provide, realize between all terminal devices of production whole process, terminal device path location between path and operation, then according to material stream and the energy flow flow direction, realize modeling and process simulation;
Production data obtains and processing module, realizes extraction, examination, processing and the test of production data; Be specially: based on iron and steel enterprise, produce full-range modeling and process simulation result, determine production data sampling parameters type and list; Then by with being connected of production scheduling central database (3), supplier factory database (4) and energy management and control central database (5), realize the extraction of production data, and carry out rationality examination and processing on this basis; This module is not carried out on-the-spot test by on-the-spot test parameter maintenance workstation (6) to monitoring the key parameter of important step simultaneously;
Flow network emulation module, by the corresponding corresponding monitoring position of production data, realizes the flow network emulation with information flow; Be specially: based on iron and steel enterprise, produce full-range modeling and process simulation result, it is corresponding that the field monitoring data that the production data of screening, processing and on-the-spot test parameter maintenance workstation (6) are obtained and corresponding monitoring position carry out, and realization is with the iron and steel production whole process model of information flow;
Power consumption is calculated and to mark analysis module, is obtained process energy consumption and unit consumption, forms semiquantitative energy-saving and emission-reduction diagnosis; Be specially: according to the energy production consumption data of each production process in iron and steel production whole process model and the signature coefficient of various energy medium, obtain process energy consumption and unit consumption; Then process energy consumption calculating being obtained and unit consumption and theoretical optimization scope are analyzed, and form semiquantitative energy-saving and emission-reduction diagnosis;
Production run situation maintenance module, the information setting of resource, energy volume production consumption and the production run of each link is produced in realization; Be specially: single devices, path and the operation from iron and steel production whole process model is configured the analyzing and diagnosing of level, operation conditions, bookkeeping level and automatization level four aspects, and analyzing and diagnosing result be delivered to the process of inline diagnosis database (2);
On-line optimization diagnostic module, completes the on-line optimization diagnosis of each link operation conditions and resource, energy volume production consumption present situation; Be specially: the technique of crucial production equipment or link, performance parameter are analyzed, parameter ability between production link or passage is carried out to the matching analysis, and combustion gas, steam, water quality and electrical network four processes in iron and steel production whole process model are optimized to the process of diagnosis.
2. the full operation energy of integrated iron and steel works condition on-line analysis diagnostic method, comprises the following steps:
S1) be enabled in the driver on radiodiagnosis x workstation (1), operation integrated iron and steel works full operation energy condition on-line analysis diagnostic system, and the picture organic linking providing by network and production scheduling central database (3), supplier factory database (4) and energy management and control central database (5);
The production technological process in each supplier factory workshop that logistics information flow process Tu, supplier factory's database (4) that S2) process modeling and emulation module provide according to production scheduling central database (3) provides, the energy medium workflow diagram that energy management and control central database (5) provides, realize between all terminal devices of production whole process, terminal device path location between path and operation, then according to material stream and the energy flow flow direction, realize modeling and process simulation;
S3) production data obtains with processing module and produces full-range modeling and process simulation result based on iron and steel enterprise, determines production data sampling parameters type and list; Then by with being connected of production scheduling central database (3), supplier factory database (4) and energy management and control central database (5), realize the extraction of production data, and carry out rationality examination and processing on this basis; This module is not carried out on-the-spot test by on-the-spot test parameter maintenance workstation (6) to monitoring the key parameter of important step simultaneously;
S4) flow network emulation module is produced full-range modeling and process simulation result based on iron and steel enterprise, it is corresponding that the field monitoring data that the production data of screening, processing and on-the-spot test parameter maintenance workstation (6) are obtained and corresponding monitoring position carry out, and realization is with the iron and steel production whole process model of information flow;
S5) power consumption is calculated and mark analysis module is obtained to process energy consumption and unit consumption according to the energy production consumption data of each production process in iron and steel production whole process model and the signature coefficient of various energy medium; Then process energy consumption calculating being obtained and unit consumption and theoretical optimization scope are analyzed, and form semiquantitative energy-saving and emission-reduction diagnosis;
S6) single devices, path and the operation of production run situation maintenance module from iron and steel production whole process model is configured the analyzing and diagnosing of level, operation conditions, bookkeeping level and automatization level four aspects, and analyzing and diagnosing result is delivered to inline diagnosis database (2);
S7) by on-line optimization diagnostic module, the technique of crucial production equipment or link, performance parameter are analyzed, parameter ability between production link or passage is carried out to the matching analysis, and combustion gas, steam, water quality and the electrical network four processes in iron and steel production whole process model is optimized to diagnosis.
3. method according to claim 2, it is characterized in that, step S2) modeling and the method for process simulation are: the method that adopts metallurgical process and graphical simulation, the logistics information flow process figure providing by means of production scheduling central database (3), the production technological process in each supplier factory workshop that supplier factory database (4) provides, the energy medium workflow diagram that energy management and control central database (5) provides, realize all terminal devices of production whole process, path location between path and operation between terminal device, then according to material stream and energy flow, flow to implementation procedure emulation.
4. method according to claim 2, it is characterized in that, the examination of production data step S3) and disposal route are: the production history data of extracting are carried out to the Screening Treatment of data normality by digital filtering module, then according to the design objective of each parameter, carry out the examination of rationality magnitude, finally historical data is carried out to the statistics that Effective selection extracts and the moon is counted.
5. method according to claim 2, is characterized in that, the method for carrying out on-the-spot test to not monitoring the key parameter of important step is: carry concrete testing tool and go deep into scene and carry out design parameter test and rationality examination; Then testing parameter data is inputted to on-the-spot test parameter maintenance workstation (6), and be delivered to inline diagnosis workstation database (2) by iron and steel production data net.
6. method according to claim 2, is characterized in that, step S5) computing formula of obtaining process energy consumption, unit consumption E is:
The method that forms semiquantitative energy-saving and emission-reduction diagnosis is: relatively calculate with theoretical scope process energy consumption and the unit consumption of obtaining, the space of each link process energy consumption of semi-quantitative diagnosis and unit consumption.
7. method according to claim 2, it is characterized in that, the method of step S6) carrying out analyzing and diagnosing is: first, to reflecting that each single devices, path and operation operational factor carry out Measure of Process Capability and the computational analysis of process performance index, realize the diagnosis of production run situation, bookkeeping level and automatization level; Secondly, go deep into produced on-site process, the process management of single devices, path and operation operation is carried out to visual Diagnosis.
8. method according to claim 2, it is characterized in that, step S7) method technique, performance parameter being analyzed is: first, in conjunction with the analysis on its rationality diagnosis of fluctuating of actual motion technique and performance parameter historical data, secondly, in conjunction with design and theoretical technique and performance parameter index carry out actual motion control technique and performance parameter to marking; The method of parameter ability being carried out to the matching analysis is: the front and back process capability coupling of take is principle, the matching analyzing and diagnosing of processing apparatus ability, operation regulating and controlling aspect before and after carrying out.
9. method according to claim 2, is characterized in that, step S7) method that combustion gas, steam, water quality and electrical network four processes are optimized to diagnosis is:
According to the optimum adapted principle of combustion gas, in conjunction with combustion gas, produce the operation conditions of consumption link and use scheduling present situation to carry out diagnosis and the evaluation of system configuration, system performance and traffic control to the gas burning system network in iron and steel production whole process model;
According to steam grade Reasonable, with, steam, rationally use nearby and the reasonable efficiency power generation principle of steam, in conjunction with each link steam quality demand, steam, produce consumption operation conditions and use scheduling present situation to carry out diagnosis and the evaluation of system configuration, system performance and traffic control to the vapour system network in iron and steel production whole process model;
In conjunction with each link water quality requirement, water yield requirement, water system operation conditions and use scheduling present situation, the water system network model in iron and steel production whole process model is carried out to diagnosis and the evaluation of equipment configuration, equipment performance and traffic control aspect;
In conjunction with operation of power networks situation and use scheduling present situation, the supply and distribution network model in iron and steel production whole process model is carried out to diagnosis and the evaluation of equipment configuration, equipment performance and traffic control;
And provide electric level and national for distribution management, fees policy for oneself in conjunction with integrated iron and steel works, implement the optimal diagnosis that integrated iron and steel works' Integrated Energy is recycled.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1584758A (en) * | 2003-08-22 | 2005-02-23 | 广东亚仿科技股份有限公司 | Controlling method and system for digital steel-ball coal grinder |
| CN101408769A (en) * | 2008-11-21 | 2009-04-15 | 冶金自动化研究设计院 | On-line energy forecasting system and method based on product ARIMA model |
| US7603304B2 (en) * | 2005-03-08 | 2009-10-13 | International Business Machines Corporation | Domain specific return on investment model system and method of use |
-
2011
- 2011-12-19 CN CN201110429444.3A patent/CN102592004B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1584758A (en) * | 2003-08-22 | 2005-02-23 | 广东亚仿科技股份有限公司 | Controlling method and system for digital steel-ball coal grinder |
| US7603304B2 (en) * | 2005-03-08 | 2009-10-13 | International Business Machines Corporation | Domain specific return on investment model system and method of use |
| CN101408769A (en) * | 2008-11-21 | 2009-04-15 | 冶金自动化研究设计院 | On-line energy forecasting system and method based on product ARIMA model |
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