CN108171422A - A kind of platform construction method of steel intelligent plant - Google Patents
A kind of platform construction method of steel intelligent plant Download PDFInfo
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Abstract
The present invention provides a kind of platform construction method of steel intelligent plant, by connecting enterprise's Internet of Things and industry internet, cloud computing center and large data center are established, Corporation R ＆ D, raw quality, control intelligent are realized into the acquisition of industrial big data, storage, the calculating in enterprise's Internet of Things.Decision Support Platform, operation management platform, analogue simulation platform are initially set up, then based on these three platforms, establish multiple intelligent management flows.Iron and steel enterprise adheres to performing according to the method, it can reach the intelligent construction target of metallurgical works, realize that generation information technology and advanced manufacturing technology innovation are integrated, the steel industry ecosystem and New Manufacturing Mode under Information Condition are built, raising efficiency improves quality, reduces cost with remarkable effect.
Description
Technical field
The present invention relates to the platform software development approach technical field of steel intelligent plant, more particularly to a kind of steel intelligence
The platform construction method of factory.
Background technology
Since the 1990s, economical globalization tendency is apparent, and industrial development, production, service are constantly to globalization side
To integration, the appearance of world's factory is facilitated in the development of network and information technology.Nearly ten years, international financial crisis takes place frequently, and causes
Industry increases and significantly slows down, and downstream pressure increases, and large quantities of medium-sized and small enterprises get into a difficult position, and large enterprises are inflicted heavy losses on.Various countries propose " IT
Rescue market " is planned, it is desirable to by information technology, Industrial Management is promoted more to become more meticulous, cost it is more intensive, realize adjustment
The industrial structure accelerates new industry development.Current era, countries in the world have a profound understanding of the importance of information technology, numerous and confused true
The development strategy characterized by propulsion information technology develops has been found, and has been increased to information technology input, promoted and has ensured information skill
The application conversion of art achievement.
China's steel industry informatization takes evening 10-15 with respect to developed country's starting, but by the information of more than ten years
Change and build, relatively domestic other industry, the level of IT application of iron and steel enterprise is in position of taking the lead in race.《Steel and iron industry adjustment upgrading rule
It draws (2016-the year two thousand twenty)》Clearly propose that " development of promoting innovation, adheres to Green Development, pushes intelligence manufacture, improves China
The development quality and benefit of steel and iron industry." guiding theory, be pushed further into the two change depth integration sides of specifying for steel industry
To.
Iron and steel enterprise has the process control application experience of more perfect basic automation systems and comparative maturity.Basic feelings
Condition is that main body production line basic automatization PLC or DCS control rate assists and support system PLC or DCS control rate close to 100%
Not high, part PLC or DCS can not realize that data acquire.Iron and steel corporation constructs management category information system and sub- enterprises level
Grade special information system, and or just carry out human resource management, unified accounting management, fund pipe in group company's level
The informatizations such as reason, purchasing management, target are the unified management and control for realizing " human, financial, and material resources " as core；Sub- enterprise level is produced to open
ERP system, the project constructions such as sale management system are opened up, unit enterprise is met and becomes more meticulous the target of production, integrated management.
But common problem is that iron and steel enterprise's informationization is merged with industrialization, the work of metallurgical intelligent plant construction lacks
Few integrated planning and unified standard；Automatization level is irregular, fractional unit weak foundation；Automatic data collection rate is not
Height, automation be not high with informationization integration degree；Partial automation equipment is outmoded, aging is serious；The resource consolidation of more ground is insufficient, exists
Information island；The infrastructure such as data center, network and demand are not suitable with；Protecting information safety basis is poor；In intelligent production
Aspect is explored not deep enough.
Invention content
In order to solve the problems, such as described in background technology, the present invention provides a kind of platform construction method of steel intelligent plant,
Iron and steel enterprise adheres to performing, and the gradual perfection in construction according to the method, can reach the intelligent construction mesh of metallurgical works
Mark promotes IT application to iron and steel enterprise and industrialization depth integration, realizes that generation information technology is innovated with advanced manufacturing technology
It is integrated, steel industry ecosystem and New Manufacturing Mode under Information Condition are built, raising efficiency improves quality, reduces
Cost has remarkable effect.
In order to achieve the above object, the present invention is realized using following technical scheme：
A kind of platform construction method of steel intelligent plant, the method are interconnected by connecting enterprise's Internet of Things with industry
Net establishes cloud computing center and large data center, and the acquisition of industrial big data, storage, the calculating in enterprise's Internet of Things are realized enterprise
Industry research and development, raw quality, control intelligent.
The method initially sets up Decision Support Platform, operation management platform, analogue simulation platform, then flat with these three
Based on platform, multiple intelligent management flows are established.
Multiple intelligent management flows include：Intellectual product processes of research ＆ development, intelligent quality management and control flow, intelligence production
Cooperation flow, Intelligent logistics warehousing flow, intelligent energy and environmental regulatory control flow, intelligent marketing service procedure, intelligent decision branch
Hold flow.
The intellectual product processes of research ＆ development recruitment sparetime university data carry out product theoretical prediction modeling, based on virtual emulation
Technology builds virtual emulation platform, including theoretical prediction model structure flow, new product research and development engineering, production scheduling emulation stream
Journey.
The intelligent procreative collaboration flow includes plan scheduling flow, equipment operational support flow, security context monitoring
Flow.
The theoretical prediction model structure flow of the intellectual product processes of research ＆ development includes the following steps：
Step 1: compiling product historical data, tissue is carried out, and be divided into training data and verification by product type
Two class of data；
Step 2: being based on research and development of products experience in virtual emulation platform builds product theoretical model, it is anti-with training data
Model training is carried out again, it is anticipated that target constructs product theoretical prediction model；
Step 3: model evaluation is repeated with assessment data, product theory optimal models are finally constructed；
Step 4: product theoretical prediction model is issued in virtual emulation platform.
The new product research and development engineering of the intellectual product processes of research ＆ development includes the following steps：
Step 1: input new-product development plan in virtual emulation platform；
Step 2: operation product theoretical prediction model, carries out product tissue performance design, the design of product elemental composition, production
The design of product scantling, product processes parameter designing；
Step 3: carry out new product simulation manufacture in virtual emulation platform；
Step 4: by comparing, complete new product simulating, verifying and optimize with design of Simulation.
The production scheduling simulation flow of the intellectual product processes of research ＆ development includes the following steps：
Step 1: in virtual emulation platform input production scheduling emulation plan of needs；
Step 2: selection simulated production processing route, simulation and prediction production cost, prediction transportation cost, prediction product are handed over
Delivery date；
Step 3: being compared by the prediction result emulated to more production technology path simulation production schedulings, determine that production is adjusted
Spend optimum production process path.
The intelligent quality management and control flow includes Life cycle flow, step specific as follows：
Step 1: metallurgic index code knowledge base is established based on experience；Guidance carries out Quality Design to commercial order；Quality Design
As a result it is used to model by control of the whole production process in the production of order tissue；
Step 2: material Key Quality data in continuous acquisition production overall process；Carry out online surface matter in production process
Amount detection；Surface Quality defect is judged automatically；It is modeled simultaneously by various dimensions quality analysis modeling and Quality Forecasting, it is real
Existing whole process intelligent quality analysis；
Step 3: comprehensive surface quality, components tests result, service check result carry out quality evaluation judgement；With life
The quality of production data acquired in the process are produced, product quality problem quickly identification and retrospect can be carried out；
Step 4: based on product quality regression analysis model, product quality deviating cause analysis is carried out；Simultaneously with production
The quality of production data of continuous acquisition in the process can carry out the optimization of order Quality Design and production Controlling model optimization, form production
Product Life cycle closed loop quality optimization design management and control system.
The plan scheduling flow of the intelligent procreative collaboration includes the following steps：
Step 1: establish each production unit capacity planning；Establish the planning of logistics transportation ability；Establish market demand forecast letter
Breath；Work out monthly manufacturing resource planning；
Step 2: commercial order is received under resource planning control；Commercial order Quality Design is carried out, manufacture is formed and orders
It is single；Production merger is carried out to manufacturing order, forms production order；The production technology path of specified production order；
Step 3: is specified to production order the production time；Blank design is carried out to production order, is formed from raw material to each work
Sequence is in the blank specification of product；Clout is carried out to serve as；
Step 4: with production order establishment production week plan；Carry out process plan of material requisition establishment；Configuration intelligence is excellent
Constraint rule is lined up in change, including producing accurate cost constraint, time of delivery constraint, the constraint of equipment health, production capacity play constraint and
Logistics transportation constrains；Run intelligent optimization scheduling model, in the case where meeting intelligent scheduled production constraint, establishment smelt plan, casting plan,
Hot rolling modular plan and rolling operation plan；
Step 5: carry out Operational preparation collaboration by production planning and sequencing；Cooperative scheduling commander is carried out by production planning and sequencing；Track scheduled production
Planned production performs actual achievement；Tracking finished product pays into the treasury actual achievement；By order establishment product quasi- hair plan；Production order is produced
It winds up the case processing；Stock is carried out to finished product stock and carries report.
The equipment operational support flow of the intelligent procreative collaboration includes the following steps：
Step 1: acquisition intelligent sensing device data information, Monitoring Focus equipment on-line vibration data detect electrical equipment
Online temperature data realizes equipment on-line monitoring；
Step 2: with intelligent point inspection equipments, equipment point-detecting plan is assigned, acquisition transfer point inspection data information realizes intelligence
It can equipment spot checking；To the equipment point-detecting actual achievement data of acquisition and equipment detection data, the storage of progress device data, data are clear
It washes, realizes device data processing；Run time-domain analysis, frequency-domain analysis, phase analysis, time three dimensional analysis, rotating speed three dimensional analysis
With change industrial and mineral alarm analysis model, carry out concentrating contrastive detection analysis；
Step 3: automatic measure grading is carried out to equipment health result；By equipment fault diagnosis, the repair of equipment foresight is pre-
Equipment intelligent diagnosis prediction and Predictive Maintenance plan are realized in report, equipment disadvantage trend analysis, unit exception alarm；Utilize intelligence
Image recognition technology carries out equipment fault dynamic simulation, realizes life period of an equipment management, is protected in terms of equipment stable operation
Barrier production is stably and controllable.
The security context monitoring flow of the intelligent procreative collaboration includes the following steps：
It pops one's head in Step 1: being monitored by erecting bed, identifies human behavior, tracking individuals positioning, detection key area letter
Breath, monitoring of environmental occupational hazards information, monitoring pollution object emission information acquire environment sensing monitoring data in real time；
Step 2: being visualized by production environment, personnel track, disposal of pollutants, production environment monitoring are realized；
Step 3: alarmed by abnormal time, security risk alarm, danger zone prompting etc. environmental monitorings alarm, realize
Management and control to danger zone and personnel hazard's behavior；Push warning message；Carry out the exceeded early warning of disposal of pollutants；
Step 4: carry out rectification record by corrective action；Various safe emergency preplans and expert knowledge library are built, is referred to
Lead safe emergency drilling and the contingency management of implementation specification；To environmental monitoring warning message according to safe emergency preplan,
Step 5: under expert knowledge library guidance, safe emergency command is carried out；Safety disaster processing；Safe handling records；
Safety case investigation ensures that production is stablized in terms of safety precaution and accident treatment.
Compared with prior art, the beneficial effects of the invention are as follows：
1st, the platform construction method of a kind of steel intelligent plant of the invention, meets development of iron and steel enterprises demand, around steel
Iron producing line particular problem, solve and improve there is currently short slab, build collaborative innovation environment, realize intelligent upgrading wound effect.
2nd, the platform construction method of a kind of steel intelligent plant of the invention, intelligent plant is on business dimension towards steel
The full industrial chain link of production, by the technique of generation information technology and existing steel manufacture process and equipment running technology and
People carries out depth integration, realizes factory is lateral, longitudinal and end-to-end highly integrated, promotion complete perception, prediction and warning, collaboration
Four optimization, science decision critical capabilities, it is horizontal to promote factory's operation management in a manner of more fine and dynamic, and pushes system
It makes and business model innovation.
3rd, the present invention is based on the characteristics of iron and steel enterprise's Diversification Type manufacture, invention one kind can build more complete steel intelligence
The method of factory adheres to performing, and the gradual perfection in construction according to the method, can reach the intelligent construction of metallurgical works
Target promotes IT application to iron and steel enterprise and industrialization depth integration, realizes that generation information technology is created with advanced manufacturing technology
It is new integrated, steel industry ecosystem and New Manufacturing Mode under Information Condition are built, raising efficiency improves quality, drop
Low cost has remarkable effect.
Description of the drawings
Fig. 1 is the steel intelligent plant blueprint Organization Chart of the present invention；
Fig. 2 is the steel intelligent plant overall application Organization Chart of the present invention；
The intellectual product that Fig. 3 is the present invention researches and develops theoretical prediction model structure flow chart；
The intellectual product that Fig. 4 is the present invention researches and develops new product research and development engineering figure；
Fig. 5 is the intellectual product development ＆ production scheduling simulation flow chart of the present invention；
Fig. 6 is the intelligent quality management and control product lifecycle flow chart of the present invention；
Fig. 7 is the intelligent procreative collaboration plan scheduling flow chart of the present invention；
Fig. 8 is the intelligent procreative collaboration equipment operational support flow chart of the present invention；
The intelligent procreative collaboration security context that Fig. 9 is the present invention monitors flow chart；
Figure 10 is the Intelligent logistics warehousing flow figure of the present invention；
Figure 11 is the intelligent energy of the present invention and environmental regulatory control Integrated Energy management and control flow chart；
Figure 12 is the intelligent marketing service flow diagram of the present invention；
Figure 13 is the intelligence decision support system flow chart of the present invention；
Figure 14 is the steel intelligent plant information logistics system schematic model figure of the present invention；
Figure 15 is steel intelligent plant new technology/main application drawing of new equipment of the present invention.
Specific embodiment
Specific embodiment provided by the invention is described in detail below in conjunction with attached drawing.
As shown in Figure 1, a kind of platform construction method of steel intelligent plant, the method is by connecting enterprise's Internet of Things
With industry internet, cloud computing center and large data center are established, the industrial big data in enterprise's Internet of Things is acquired, is stored,
It calculates and realizes Corporation R ＆ D, raw quality, control intelligent.Steel intelligent plant overall application framework is as shown in Figure 2.
(1) cloud computing center：It will be calculated, stored on demand by network, software and information resources are supplied to user.In " cloud "
Resource can be obtained at any time in user terminal, on demand use, extend at any time, pay-per-use.Cloud computing center is as following intelligence
The operation platform of energy factory business, mainly includes：Infrastructure, resource pool, service-domain, management domain.
As the cloud computing center of intelligent plant service operation platform, carrying in the past the MES (manufacturing execution system) of enterprise,
(product life cycle manages by ERP (Enterprise Resources Planning), HR (human resources), finance, logistics, budget, accounting, buying, PLM
Reason), CRM (customer relation management), SCM (supply chain management), production decision, marketing, cost, research and development, quality management and control, Intelligent drainage
All application systems of production, monitoring of equipment, repair, safety, energy environment protection etc..
(2) large data center：The shared large data center of enterprise's structure, completes acquisition each level industry big data of enterprises
With enterprise external data, pass through authority data standard, universal data view, real time data processing, multi-source heterogeneous data space-time one
The conversion of cause property realizes that inside data of enterprise is shared；By the profound analysis and excavation of data, form valuable information and know
Know, support intelligent management is applied and intelligence manufacture Applications construct；By accumulation of knowledge, Company Knowledge library is formed, realizes knowledge
It shares and efficiently uses.
Shared large data center is managers at different levels, profession point by building production and operation various functional areas analysis model
Analysis personnel provide unified data analysis and knowledge sharing platform, meet decision-making level and management level to corporate strategy, risk, market
Macroscopical control with current operation situation and effective prediction to future development are conducive to enterprise and quickly cope with turn of the market, improve core
Heart competitiveness.Shared large data center can realize that process optimization, quality management and control, device diagnostic, Energy Sources Equilibrium etc. manufacture intelligence
It can apply, while be also the important component that enterprise realizes " intelligence manufacture ".
The method initially sets up Decision Support Platform, operation management platform, analogue simulation platform, then flat with these three
Based on platform, multiple intelligent management flows are established.
Big data resource of the Decision Support Platform based on iron and steel enterprise, structure continuously optimize decision model, provide alternative
And preferred embodiment, the decisions at different levels for enterprise provide support；Comprehensive management and control platform intergration information flow, logistics, cash flow, knowledge
Stream, service flow realize the novel management and control of production total factor, whole process, full industrial chain, Life cycle；Virtual emulation platform structure
Virtual reality enterprise is built, realizes production emulation and research and development of products emulation.
Multiple intelligent management flows include：Intellectual product processes of research ＆ development, intelligent quality management and control flow, intelligence production
Cooperation flow, Intelligent logistics warehousing flow, intelligent energy and environmental regulatory control flow, intelligent marketing service procedure, intelligent decision branch
Hold flow.
The intellectual product processes of research ＆ development recruitment sparetime university data carry out product theoretical prediction modeling, based on virtual emulation
Technology builds virtual emulation platform, including theoretical prediction model structure flow, new product research and development engineering, production scheduling emulation stream
Journey.
The intelligent procreative collaboration flow includes plan scheduling flow, equipment operational support flow, security context monitoring
Flow.
As shown in Fig. 3,4,5, the intellectual product processes of research ＆ development carries out product theoretical prediction and builds with industrial big data
Mould based on Virtual Simulation, builds virtual emulation platform.1. by design of Simulation, simulating, verifying and optimization, new product is completed
Design, product simulation manufacture and product simulation verification.Using customer personalized demand as target, carry out performance design, composition design,
Design of material, technological design, analog physical production process obtain control parameter.2. it is given birth to using virtual factory emulation platform
Produce scheduling simulation.By simulating different process path, prediction production cost, transportation cost, due date determine Optimal Production
Processing route.
As shown in figure 3, the theoretical prediction model structure flow of the intellectual product processes of research ＆ development includes the following steps：
Step 1: compiling product historical data, tissue is carried out, and be divided into training data and verification by product type
Two class of data；
Step 2: being based on research and development of products experience in virtual emulation platform builds product theoretical model, it is anti-with training data
Model training is carried out again, it is anticipated that target constructs product theoretical prediction model；
Step 3: model evaluation is repeated with assessment data, product theory optimal models are finally constructed；
Step 4: product theoretical prediction model is issued in virtual emulation platform.
As shown in figure 4, the new product research and development engineering of the intellectual product processes of research ＆ development includes the following steps：
Step 1: input new-product development plan in virtual emulation platform；
Step 2: operation product theoretical prediction model, carries out product tissue performance design, the design of product elemental composition, production
The design of product scantling, product processes parameter designing；
Step 3: carry out new product simulation manufacture in virtual emulation platform；
Step 4: by comparing, complete new product simulating, verifying and optimize with design of Simulation.
As shown in figure 5, the production scheduling simulation flow of the intellectual product processes of research ＆ development includes the following steps：
Step 1: in virtual emulation platform input production scheduling emulation plan of needs；
Step 2: selection simulated production processing route, simulation and prediction production cost, prediction transportation cost, prediction product are handed over
Delivery date；
Step 3: being compared by the prediction result emulated to more production technology path simulation production schedulings, determine that production is adjusted
Spend optimum production process path.
As shown in fig. 6, the intelligent quality management and control flow includes Life cycle flow, step specific as follows：
Step 1: metallurgic index code knowledge base is established based on experience；Guidance carries out Quality Design to commercial order；Quality Design
As a result it is used to model by control of the whole production process in the production of order tissue；
Step 2: material Key Quality data in continuous acquisition production overall process；Carry out online surface matter in production process
Amount detection；Surface Quality defect is judged automatically；It is modeled simultaneously by various dimensions quality analysis modeling and Quality Forecasting, it is real
Existing whole process intelligent quality analysis；
Step 3: comprehensive surface quality, components tests result, service check result carry out quality evaluation judgement；With life
The quality of production data acquired in the process are produced, product quality problem quickly identification and retrospect can be carried out；
Step 4: based on product quality regression analysis model, product quality deviating cause analysis is carried out；Simultaneously with production
The quality of production data of continuous acquisition in the process can carry out the optimization of order Quality Design and production Controlling model optimization, form production
Product Life cycle closed loop quality optimization design management and control system.
As shown in Fig. 7,8,9, the intelligent procreative collaboration flow uses shared resource, completes production group in production area
Collaboration, equipment operational support, security context monitoring etc. are knitted, it is comprehensive to improve procreative collaboration management and control efficiency.1. popularization industrial robot,
Improvement personnel's adverse circumstances are realized in the application that unmanned crane, material are identified/identified automatically, mobile intelligent terminal etc. is intelligently equipped
With high-risk environment operation, mitigate person works' intensity, reduce personnel, equipment danger coefficient, it is artificial uncertain eliminating or reducing
Property aspect ensure production it is stable, accurate and continuous；2. by knowing with the inspection of intelligence point, on-line checking, intelligent diagnostics, intelligent image
The technologies such as not realize equipment Predictive Maintenance and lifecycle management, ensure that production is stably and controllable in terms of equipment stable operation；
3. being identified by environment sensing, human behavior, personnel positioning tracking, the management and control to danger zone and personnel hazard's behavior is realized,
Various prediction schemes and expert knowledge library are built, the contingency management of conduct specification ensures in terms of safety precaution and accident treatment
Production is stablized；4. using mobile application technology, coordination plan, task, resource and equipment supporting condition improve organization of production effect
Rate；5. it realizes the accurate cost forecast of single product and calculates；6. consider quality, cost, delivery limit, equipment health, production capacity, object
Under the conditions of the comprehensive constraint that the production schedule is worked out in stream transport etc., intelligent optimization scheduled production is completed.
As shown in fig. 7, the plan scheduling flow of the intelligent procreative collaboration includes the following steps：
Step 1: establish each production unit capacity planning；Establish the planning of logistics transportation ability；Establish market demand forecast letter
Breath；Work out monthly manufacturing resource planning；
Step 2: commercial order is received under resource planning control；Commercial order Quality Design is carried out, manufacture is formed and orders
It is single；Production merger is carried out to manufacturing order, forms production order；The production technology path of specified production order；
Step 3: is specified to production order the production time；Blank design is carried out to production order, is formed from raw material to each work
Sequence is in the blank specification of product；Clout is carried out to serve as；
Step 4: with production order establishment production week plan；Carry out process plan of material requisition establishment；Configuration intelligence is excellent
Constraint rule is lined up in change, including producing accurate cost constraint, time of delivery constraint, the constraint of equipment health, production capacity play constraint and
Logistics transportation constrains；Run intelligent optimization scheduling model, in the case where meeting intelligent scheduled production constraint, establishment smelt plan, casting plan,
Hot rolling modular plan and rolling operation plan；
Step 5: carry out Operational preparation collaboration by production planning and sequencing；Cooperative scheduling commander is carried out by production planning and sequencing；Track scheduled production
Planned production performs actual achievement；Tracking finished product pays into the treasury actual achievement；By order establishment product quasi- hair plan；Production order is produced
It winds up the case processing；Stock is carried out to finished product stock and carries report.
As shown in figure 8, the equipment operational support flow of the intelligent procreative collaboration includes the following steps：
Step 1: acquisition intelligent sensing device data information, Monitoring Focus equipment on-line vibration data detect electrical equipment
Online temperature data realizes equipment on-line monitoring；
Step 2: with intelligent point inspection equipments, equipment point-detecting plan is assigned, acquisition transfer point inspection data information realizes intelligence
It can equipment spot checking；To the equipment point-detecting actual achievement data of acquisition and equipment detection data, the storage of progress device data, data are clear
It washes, realizes device data processing；Run time-domain analysis, frequency-domain analysis, phase analysis, time three dimensional analysis, rotating speed three dimensional analysis
With change industrial and mineral alarm analysis model, carry out concentrating contrastive detection analysis；
Step 3: automatic measure grading is carried out to equipment health result；By equipment fault diagnosis, the repair of equipment foresight is pre-
Equipment intelligent diagnosis prediction and Predictive Maintenance plan are realized in report, equipment disadvantage trend analysis, unit exception alarm；Utilize intelligence
Image recognition technology carries out equipment fault dynamic simulation, realizes life period of an equipment management, is protected in terms of equipment stable operation
Barrier production is stably and controllable.
As shown in figure 9, the security context monitoring flow of the intelligent procreative collaboration includes the following steps：
It pops one's head in Step 1: being monitored by erecting bed, identifies human behavior, tracking individuals positioning, detection key area letter
Breath, monitoring of environmental occupational hazards information, monitoring pollution object emission information acquire environment sensing monitoring data in real time；
Step 2: being visualized by production environment, personnel track, disposal of pollutants, production environment monitoring are realized；
Step 3: alarmed by abnormal time, security risk alarm, danger zone prompting etc. environmental monitorings alarm, realize
Management and control to danger zone and personnel hazard's behavior；Push warning message；Carry out the exceeded early warning of disposal of pollutants；
Step 4: carry out rectification record by corrective action；Various safe emergency preplans and expert knowledge library are built, is referred to
Lead safe emergency drilling and the contingency management of implementation specification；To environmental monitoring warning message according to safe emergency preplan,
Step 5: under expert knowledge library guidance, safe emergency command is carried out；Safety disaster processing；Safe handling records；
Safety case investigation ensures that production is stablized in terms of safety precaution and accident treatment.
As shown in Figure 10, the Intelligent logistics warehousing flow is by information-based, intelligent means, to optimize resource, drop
Low cost is target, promotes logistics operation efficiency, mitigates personnel labor intensity, controls warehousing management cost, promotes warehousing management
Efficiency.1. using technologies such as wireless network communication and mobile applications, storage goods and materials movement scheduling, intelligent scheduling are realized；2. it utilizes
Internet of Things cognition technology realizes the fixation positioning of storage goods and materials, accelerates goods and materials turnover；3. being transported by visualizing, logistics fortune is realized
Defeated real-time process monitoring promotes customer satisfaction with services.Including：
1st, logistics demand management, including Purchase And Logistics, distribution logistics, production logistics, solid waste logistics；Travelling trader is managed, including
Travelling trader's access, travelling trader's evaluation, resource capability；
2nd, logistics contract management, including price file, contract text, contract execution tracking, contract objection；
3rd, manage logistics plan management, including traffic program, executive plan, ask vehicle plan, with ship management, Logistic Scheduling,
Departure from port management, departure from port scheduling etc.；Based on virtual reality technology, structure 3D storage models realize inventory's visualization, inventory remotely supervises
Control, remote delivery, logistic resources early warning, logistics transportation plan perform tracking, by visualizing shipping platform, tracking ship, vehicle
Information tracks document goods information；
4th, the management document of settlement, Expenses' rate, administration fee ticket are realized in Office Of Contract Settlements management；It is transported by visualizing, transport
Vehicular intelligent scheduling, vehicle line optimization, vehicle transport tracking, freight acquisition, transportation service center are realized in management；
5th, using technologies such as wireless network communication and mobile applications, warehousing management realizes stock management, goes out library management, in library
Management, management processing and warehousing costs clearing；Delivery management is realized order dispatching collaboration, distribution plan establishment, loading optimization, is matched
Tracking is sent, online dispatching etc. promotes logistics operation efficiency, mitigates personnel labor intensity, control warehousing management cost, promotes storage
The efficiency of management.
As shown in figure 11, the intelligent energy and environmental regulatory control flow, through each ring of entire production process value chain
Section continues dynamic optimization manufacturing process comprehensive utilization of energy, and realizing reduces energy consumption, reduces discharge.1. construction of energy management and control center,
Realize production of energy, energy consumption, the automatic real-time acquisition of environment protection emission data, centralized watch；2. all energy source stations, institute,
Room realizes that unattended, automatic operating, concentration reach intensive management and control on the basis of manipulating；3. energy is reached based on big data
Source intelligent management, balanced supply and demand of energy, energy forecast optimization are realized and improve source benefit and efficiency, energy-saving, reduction production
The target of cost, minimum Environmental costs.Including：
Construction of energy production monitoring platform carries out real-time curve and shows, parameter setting, affair alarm, trend are monitored and set
Standby status display；Energy management equipment establishes equipment account, maintenance management record, accident and fault management record, operating status
Management record, point inspection management record；Energy source optimization balance is carried out, establishment use can plan, work out a production plan, it is pre- establish the energy
Survey expert model；Energy saving of system regulation and control are carried out based on energy big data and expert model；Intelligent energy consumption forecast is established, continues dynamic
Optimize manufacturing process comprehensive utilization of energy, realizing reduces energy consumption, reduces discharge.
As shown in figure 12, the intelligent marketing service procedure relies on e-commerce platform, integrate sale, production, logistics,
The key links information such as research and development provide quick, timely and personalized service for client, reach improve customer satisfaction, loyalty,
Realize the target that customer value is persistently contributed；By data mining, analysis, data value is given full play to, market is provided for enterprise
The value-added services such as prediction of the development trend, product price trend analysis, customer demand prediction, realize marketing service digitlization, intelligence
Change.
Intelligent marketing service procedure realizes that supplier's early production exploitation information imports at EVI interfaces；New product is instructed to grind
Hair；Market trend prediction, product price trend analysis are carried out, industry Zone Information is collected, and key customer introduces, and promotes marketing increment clothes
Business ability；Carry out intelligent message push；Realize customer demand prediction；Management subdivision client, including Strategy Customers, direct-furnish client,
Common customer and new client；Offer order performs tracking, logistics transportation tracks, electronic quality certificate inquiry prints, is customer personalized
The customer care services such as information service；Guidance improves product quality；By value-added service after sale, provided for client quick, timely
And personalized service, realize marketing service digitlization, intelligence.
As shown in figure 13, the intelligence decision support system flow, it is real based on enterprise's large data center and industry shared data
Existing multi-source data convergence fusion, with accurate, global data dependence analysis, analyzes inherent law, efficiently controls magnanimity
Data promote decision-making technic content and knowledge content, realize that intelligence continues to monitor performance analysis, performance appraisal, to mark analysis, wind
The scientific managements decisions such as danger management, cost analysis, aid decision support.
Intelligence decision support system flow collects enterprises, enterprise external industry shared data, establishes enterprise's large data center；
Data storage, data cleansing, data loading are carried out, realizes multi-source data convergence fusion；By data dependence forecast analysis, return
Return analysis modeling；Carry out production and management analysis, Strategic Performance examination analysis, market trend forecast analysis, lean cost analysis, wind
Dangerous Pre-Evaluation analysis supports management to enterprises' aid decisions such as mark analyses.
As shown in Figure 1, it is further comprised in the platform construction method of the steel intelligent plant：Two systems：Standard body
System and security system.Build the standards system of intelligent plant and big data, information security, industry security system.
The platform construction method of the steel intelligent plant can realize auto-control, information digitalization, business mould
Type, system integration and data visualization：
1st, auto-control：By automatically controlling for production process, including setup unit, control unit, execution unit and
Unit is perceived, realizes the automatic management with self diagnosis, adaptation function.
2nd, information digitalization：Realize reflection material, product, equipment, environment, personnel total digitalization.
3rd, business model：Based on process modeling, business model, mechanism model, Optimized model, equipment threedimensional model, specially
Prediction and warning, simulation, analysis and the optimization of family's knowledge, realize business model.
4th, system integration：It is integrated by information integration, Services Integration, application integration and technical process, operation flow collection
It is integrated into, each link of upstream and downstream, realizes system integration.
5th, data visualization：Using computer graphics and image processing techniques, virtual reality technology, by each series of enterprise
According to (such as factory two, 3-D view, material dispatch, environmental monitoring, production actual achievement, logistic track, equipment assembling) be converted into
Figure, chart or image are the displayings that an entity factory is merged with virtual factory, and can carry out human-computer interaction, realize management
On it is scientific and normal.
As shown in figure 14, the platform construction method of the steel intelligent plant has merged the letter of calculating, communication and control
The construction of breath logistics system (CPS) is that intelligent plant builds successful critical support condition, and intelligent plant information logistics system is shown
Meaning model.
As shown in figure 15, the platform construction method structure whole process of the steel intelligent plant, digitlization, intelligentized
Steel intelligent plant, that is, need using intelligence sensor, intelligent online instrument, Smart Logo and identification, industrial robot, nobody
The new equipments such as driving, intelligent terminal, and application sensing is needed to be calculated with detection, mobile application, virtual emulation, image identification, model
The new technologies such as method, big data, augmented reality and artificial intelligence, the application of new technology new equipment also need to be combined with factory management, are
One complicated system engineering will be adhered to using data as core, with reference to enterprise practical, move forward steadily implementation.
Above example is being implemented down based on the technical solution of the present invention, gives detailed embodiment and tool
The operating process of body, but protection scope of the present invention is not limited to the above embodiments.Method therefor is such as without spy in above-described embodiment
It is conventional method not mentionlet alone bright.
Claims (8)
1. a kind of platform construction method of steel intelligent plant, the method is interconnected by connecting enterprise's Internet of Things with industry
Net establishes cloud computing center and large data center, and the acquisition of industrial big data, storage, the calculating in enterprise's Internet of Things are realized enterprise
Industry research and development, raw quality, control intelligent；
It is characterized in that, the method initially sets up Decision Support Platform, operation management platform, analogue simulation platform, then with
Based on these three platforms, multiple intelligent management flows are established；
Multiple intelligent management flows include：Intellectual product processes of research ＆ development, intelligent quality management and control flow, intelligent procreative collaboration
Flow, Intelligent logistics warehousing flow, intelligent energy and environmental regulatory control flow, intelligent marketing service procedure, intelligence decision support system stream
Journey；
The intellectual product processes of research ＆ development recruitment sparetime university data carry out product theoretical prediction modeling, based on Virtual Simulation,
Virtual emulation platform is built, including theoretical prediction model structure flow, new product research and development engineering, production scheduling simulation flow；
The intelligent procreative collaboration flow includes plan scheduling flow, equipment operational support flow, security context monitoring flow.
A kind of 2. platform construction method of steel intelligent plant according to claim 1, which is characterized in that the intelligence
The theoretical prediction model structure flow of research and development of products flow includes the following steps：
Step 1: compiling product historical data, tissue is carried out by product type, and is divided into training data and verification data
Two classes；
Step 2: virtual emulation platform be based on research and development of products experience build product theoretical model, with training data repeatedly into
Row model training, it is anticipated that target constructs product theoretical prediction model；
Step 3: model evaluation is repeated with assessment data, product theory optimal models are finally constructed；
Step 4: product theoretical prediction model is issued in virtual emulation platform.
A kind of 3. platform construction method of steel intelligent plant according to claim 1, which is characterized in that the intelligence
The new product research and development engineering of research and development of products flow includes the following steps：
Step 1: input new-product development plan in virtual emulation platform；
Step 2: operation product theoretical prediction model, carries out product tissue performance design, the design of product elemental composition, product material
Expect size design, product processes parameter designing；
Step 3: carry out new product simulation manufacture in virtual emulation platform；
Step 4: by comparing, complete new product simulating, verifying and optimize with design of Simulation.
A kind of 4. platform construction method of steel intelligent plant according to claim 1, which is characterized in that the intelligence
The production scheduling simulation flow of research and development of products flow includes the following steps：
Step 1: in virtual emulation platform input production scheduling emulation plan of needs；
Step 2: selection simulated production processing route, simulation and prediction production cost, prediction transportation cost, prediction due date；
Step 3: being compared by the prediction result emulated to more production technology path simulation production schedulings, determine production scheduling most
Eugenic production. art path.
A kind of 5. platform construction method of steel intelligent plant according to claim 1, which is characterized in that the intelligence
Quality management and control flow includes Life cycle flow, step specific as follows：
Step 1: metallurgic index code knowledge base is established based on experience；Guidance carries out Quality Design to commercial order；Quality Design result
It is modeled for pressing control of the whole production process in the production of order tissue；
Step 2: material Key Quality data in continuous acquisition production overall process；Carry out online surface quality inspection in production process
It surveys；Surface Quality defect is judged automatically；It is modeled, realized complete by various dimensions quality analysis modeling and Quality Forecasting simultaneously
Flow intelligent quality is analyzed；
Step 3: comprehensive surface quality, components tests result, service check result carry out quality evaluation judgement；With producing
The quality of production data acquired in journey can carry out product quality problem quickly identification and retrospect；
Step 4: based on product quality regression analysis model, product quality deviating cause analysis is carried out；Simultaneously with production process
The quality of production data of middle continuous acquisition can carry out the optimization of order Quality Design and production Controlling model optimization, it is complete to form product
Life cycle closed loop quality optimization design management and control system.
A kind of 6. platform construction method of steel intelligent plant according to claim 1, which is characterized in that the intelligence
The plan scheduling flow of procreative collaboration includes the following steps：
Step 1: establish each production unit capacity planning；Establish the planning of logistics transportation ability；Establish market demand forecast information；
Work out monthly manufacturing resource planning；
Step 2: commercial order is received under resource planning control；Commercial order Quality Design is carried out, forms manufacturing order；It is right
Manufacturing order carries out production merger, forms production order；The production technology path of specified production order；
Step 3: is specified to production order the production time；To production order carry out blank design, formed from raw material to each process
The blank specification of product；Clout is carried out to serve as；
Step 4: with production order establishment production week plan；Carry out process plan of material requisition establishment；Intelligent optimization row is configured
Into constraint rule, including producing accurate cost constraint, time of delivery constraint, the constraint of equipment health, production capacity performance constraint and logistics
Transport constraint；Intelligent optimization scheduling model is run, in the case where meeting intelligent scheduled production constraint, plan, casting plan, hot rolling are smelted in establishment
Modular plan and rolling operation plan；
Step 5: carry out Operational preparation collaboration by production planning and sequencing；Cooperative scheduling commander is carried out by production planning and sequencing；Track production planning and sequencing
Production performs actual achievement；Tracking finished product pays into the treasury actual achievement；By order establishment product quasi- hair plan；Production is carried out to production order to wind up the case
Processing；Stock is carried out to finished product stock and carries report.
A kind of 7. platform construction method of steel intelligent plant according to claim 1, which is characterized in that the intelligence
The equipment operational support flow of procreative collaboration includes the following steps：
Step 1: acquisition intelligent sensing device data information, Monitoring Focus equipment on-line vibration data, detection electrical equipment are online
Temperature data realizes equipment on-line monitoring；
Step 2: with intelligent point inspection equipments, equipment point-detecting plan is assigned, acquisition transfer point inspection data information realizes that intelligence is set
Standby point inspection；To the equipment point-detecting actual achievement data of acquisition and equipment detection data, device data storage, data cleansing are carried out, it is real
Existing device data processing；It runs time-domain analysis, frequency-domain analysis, phase analysis, time three dimensional analysis, rotating speed three dimensional analysis and exchanges work
Ore deposit alarm analysis model carries out concentrating contrastive detection analysis；
Step 3: automatic measure grading is carried out to equipment health result；By equipment fault diagnosis, the repair of equipment foresight is forecast, if
Equipment intelligent diagnosis prediction and Predictive Maintenance plan are realized in standby disadvantage trend analysis, unit exception alarm；Known using intelligent image
Other technology carries out equipment fault dynamic simulation, realizes life period of an equipment management, and production is ensured in terms of equipment stable operation
It is stably and controllable.
A kind of 8. platform construction method of steel intelligent plant according to claim 1, which is characterized in that the intelligence
The security context monitoring flow of procreative collaboration includes the following steps：
It pops one's head in Step 1: being monitored by erecting bed, identifies human behavior, tracking individuals positioning detects key area information, prison
Environment occupational hazards information is surveyed, monitoring pollution object emission information acquires environment sensing monitoring data in real time；
Step 2: being visualized by production environment, personnel track, disposal of pollutants, production environment monitoring are realized；
Step 3: alarmed by abnormal time, security risk alarm, danger zone prompting etc. environmental monitorings alarm, realize to danger
Danger zone domain and the management and control of personnel hazard's behavior；Push warning message；Carry out the exceeded early warning of disposal of pollutants；
Step 4: carry out rectification record by corrective action；Various safe emergency preplans and expert knowledge library are built, guidance is real
Apply safe emergency drilling and the contingency management of specification；To environmental monitoring warning message according to safe emergency preplan,
Step 5: under expert knowledge library guidance, safe emergency command is carried out；Safety disaster processing；Safe handling records；Safety
Event analysis ensures that production is stablized in terms of safety precaution and accident treatment.
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