CN215975982U - Intelligent crude tin smelting system - Google Patents

Intelligent crude tin smelting system Download PDF

Info

Publication number
CN215975982U
CN215975982U CN202122335830.8U CN202122335830U CN215975982U CN 215975982 U CN215975982 U CN 215975982U CN 202122335830 U CN202122335830 U CN 202122335830U CN 215975982 U CN215975982 U CN 215975982U
Authority
CN
China
Prior art keywords
layer
data
smelting
control
management
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202122335830.8U
Other languages
Chinese (zh)
Inventor
肖本省
孟存
卢粉花
宋兴诚
王彦坤
雷胜
唐都作
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Yunnan Tin Industry Co ltd
Original Assignee
Yunnan Tin Industry Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Yunnan Tin Industry Co ltd filed Critical Yunnan Tin Industry Co ltd
Priority to CN202122335830.8U priority Critical patent/CN215975982U/en
Application granted granted Critical
Publication of CN215975982U publication Critical patent/CN215975982U/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Waste-Gas Treatment And Other Accessory Devices For Furnaces (AREA)

Abstract

The utility model discloses an intelligent crude tin smelting system, which comprises: the operation management layer is used for receiving the operation plan and sending the operation plan data to the execution manufacturing layer; performing the fabrication layer includes: an MES management system, a smelting expert system and a spray gun expert system; the control layer is used for receiving real-time data to control the boiler equipment in the smelting process in real time; the equipment layer collects real-time data of boiler equipment in the smelting process and sends the data to the control layer and the execution manufacturing layer. The method comprises the following steps: acquiring real-time data of boiler equipment in a smelting process in real time; and calculating and analyzing the operation plan data, the production management data and the real-time data, so that intelligent analysis and intelligent adjustment are realized on main operation parameters, the operation parameters are automatically optimized, automatic deviation correction is realized, and an alarm is given in time when abnormality occurs. The utility model effectively solves the problems of manual intervention, independent control and lack of unified management and control of each procedure in the original production process.

Description

Intelligent crude tin smelting system
Technical Field
The utility model relates to the technical field of intelligent crude smelting of nonferrous metals, in particular to an intelligent crude tin smelting system.
Background
The tin rough smelting has the characteristics of multiple links, complex process and facilities and the like. In recent years, tin smelting technology has been greatly developed, and tin smelting efficiency is greatly improved by adding tin smelting and oxygen enrichment in an Ausmelt top-blown furnace.
With the rapid development of modern industry and tin smelting technology, the production scale is enlarged day by day, the process flow is more and more complex, and the requirements on intellectualization and refinement of control of the tin smelting production process are higher and higher.
The traditional manual control mode and the automatic control mode are combined, and the fine requirement of production equipment control is difficult to achieve. Although a DCS control system is adopted in part of the tin smelting process, the control system is relatively independent. In the actual smelting process of the crude tin of the top-blowing furnace, equipment accidents caused by misoperation, accidents such as furnace accretion caused by insufficient operation responsibility and operation experience and the like are avoided.
Aiming at the characteristics of multiple tin smelting production links and complex process and facility, in the process control from the material entering a factory to the output of a crude tin product, an operator is relied on to observe the furnace condition and the slag type to correct and operate the spray gun; the feeding amount of the batching belt is corrected and controlled through the dispatching telephone feedback of personnel in a main control room; the metallurgical batching calculation is determined on the spot by a batching engineer, and once the metallurgical engineer is inexperienced or the personnel configuration is not uniform, the metallurgical batching calculation has great influence on the smelting economic and technical indexes of the whole rough smelting.
Therefore, in view of the above situation, how to provide an intelligent crude tin smelting system is a problem that needs to be solved urgently by those skilled in the art.
SUMMERY OF THE UTILITY MODEL
In view of the above, the utility model provides an intelligent crude tin smelting system which solves the problems of manual intervention, independent control and lack of unified management and control of all working procedures in the original production process.
In order to achieve the purpose, the utility model adopts the following technical scheme:
an intelligent crude tin smelting system comprises: the system comprises an operation management layer EPR, an execution manufacturing layer MES, a control layer DCS and an equipment layer;
the operation management layer is used for receiving an operation plan and sending operation plan data to the execution manufacturing layer;
the performing the fabrication layer includes: an MES management system, a smelting expert system and a spray gun expert system; the MES management system is used for receiving the operation plan sent by the operation management layer and generating production management data according to the operation plan; the smelting expert system is used for comparing the smelting data acquired in real time with the data in the expert database to realize the adjustment and control of the smelting process, and the spray gun expert system is used for comparing the smelting data acquired in real time with the data in the expert database to realize the control of a spray gun and the judgment of the damage of the spray gun;
the control layer is used for receiving real-time data to control the boiler equipment in the smelting process in real time;
the equipment layer collects real-time data of boiler equipment in the smelting process and sends the real-time data to the control layer and the execution and manufacturing layer.
Preferably, the MES management system comprises an environmental protection management module, a production task management module, an inspection management module and a warehousing management module;
the environment-friendly management module is used for managing environmental hazard factors generated in the crude tin smelting process;
the production task management is used for executing a monthly production plan, subdividing daily production tasks and class production tasks, and selecting an optimal production scheme by combining data of a raw material bin;
the inspection management is used for analyzing the material components required by the crude tin production and analyzing the quality of the produced crude tin;
the warehouse management module is used for managing the raw materials containing tin, auxiliary materials and crude tin products and performing collection management between the next procedure.
It should be noted that:
data can be mutually called among the environmental protection management module, the production task management module, the inspection management module and the warehousing management module in an MES layer so as to meet the corresponding analysis and statistics functions.
Preferably, the smelting expert system receives and analyzes the environmental protection management data, the production task management and inspection management data and the real-time data collected by the equipment layer to realize distribution of the batching data, material balance, heat balance and selection and correction of slag types.
Preferably, the control layer includes: and the fuming furnace control module and the top-blown furnace control module are respectively used for adjusting and correcting the control command of the fuming furnace and the top-blown furnace according to the real-time data acquired by the equipment layer so as to realize the control of the fuming furnace and the top-blown furnace.
Preferably, the control layer further includes: and the preheating boiler control module and the acid making control module are respectively used for preheating the top-blown converter and correcting acid making process parameters according to the real-time data acquired by the equipment layer and further completing acid making.
Preferably, the control layer includes: the equipment layer comprises a boiler cooling system, a coal feeding system, a batching system, a spray gun motion system and a spray gun fluid control system, wherein:
the boiler cooling system collects the water consumption and temperature of the top-blown converter in real time and collects the temperature of a molten pool;
the coal feeding system collects the coal burning amount in real time;
the batching system collects the amount of reducing coal, the amount of tin concentrate, the amount of return materials, and the amount of quartz and limestone generated by the top blowing furnace in real time;
the spray gun motion system acquires the real-time position of a spray gun and the up-down operation data of the spray gun in real time;
the spray gun fluid control system collects spray gun wind back pressure, sleeve ventilation back pressure and oxygen back pressure in real time.
According to the technical scheme, compared with the prior art, the utility model discloses and provides an intelligent crude tin smelting system, which has the following technical effects:
(1) the whole process of the production process is automatically controlled;
(2) the main smelting equipment can be controlled finely and intelligently;
(3) the unified intelligent control on the whole smelting process is realized;
(4) providing data support for an ERP system and upper-layer decisions;
(5) by introducing an intelligent expert analysis decision-making system, the incoordination of the links such as material preparation, smelting, discharge and the like in the rough smelting can be effectively solved, and the empiric operation is thoroughly overcome.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic structural diagram provided by the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the utility model discloses an intelligent crude tin smelting system, wherein:
an intelligent crude tin smelting system comprises: the system comprises an operation management layer EPR, an execution manufacturing layer MES, a control layer DCS and an equipment layer;
the operation management layer is used for receiving the operation plan and sending the operation plan data to the execution manufacturing layer;
performing the fabrication layer includes: an MES management system, a smelting expert system and a spray gun expert system; the MES management system is used for receiving the operation plan sent by the operation management layer and generating production management data according to the operation plan; the smelting expert system is used for comparing the smelting data acquired in real time with the data in the expert database to realize the adjustment and control of the smelting process, and the spray gun expert system is used for comparing the smelting data acquired in real time with the data in the expert database to realize the control of a spray gun and the judgment of the damage of the spray gun;
the control layer is used for receiving real-time data to control the boiler equipment in the smelting process in real time;
the equipment layer collects real-time data of boiler equipment in the smelting process and sends the data to the control layer and the execution manufacturing layer.
In order to further realize the technical scheme, the MES management system comprises an environmental protection management module, a production task management module, an inspection management module and a storage management module;
the environment-friendly management module is used for managing environmental hazard factors generated in the crude tin smelting process;
the production task management is used for executing a monthly production plan, subdividing daily production tasks and class production tasks, and selecting an optimal production scheme by combining data of a raw material bin;
the inspection management is used for analyzing the material components required by the crude tin production and analyzing the quality of the produced crude tin;
the warehouse management module is used for managing the raw materials containing tin, auxiliary materials and crude tin products and performing collection management between the next procedure.
In order to further realize the technical scheme, the smelting expert system receives and analyzes the environmental protection management data, the production task management and inspection management data and the real-time data collected by the equipment layer, and the optimal operation parameters are found out through statistical analysis to realize the adjustment of the batching data. The heat balance and the selection of the slag type in the crude tin smelting process tend to be more reasonable.
In order to further realize the above technical solution, the control layer includes: and the fuming furnace control module and the top-blown furnace control module are respectively used for adjusting and correcting the control command of the fuming furnace and the top-blown furnace according to the real-time data acquired by the equipment layer so as to realize the control of the fuming furnace and the top-blown furnace.
In order to further implement the above technical solution, the control layer further includes: and the preheating boiler control module and the acid making control module are respectively used for preheating the top-blown converter and correcting acid making process parameters according to the real-time data acquired by the equipment layer and further completing acid making.
In order to further realize the above technical solution, the control layer includes: the equipment layer comprises a boiler cooling system, a coal feeding system, a batching system, a spray gun motion system and a spray gun fluid control system, wherein:
the boiler cooling system collects the water consumption and temperature of the top-blown converter in real time and collects the temperature of a molten pool;
the coal feeding system collects the coal burning amount in real time;
the batching system collects the amount of reduced coal, the amount of tin concentrate, the amount of return materials, and the amount of quartz and limestone generated by the top blowing furnace in real time;
the spray gun motion system acquires the real-time position of the spray gun and the up-down operation data of the spray gun in real time;
the spray gun fluid control system collects spray gun wind back pressure, sleeve ventilation back pressure and oxygen back pressure in real time.
It should be noted that:
the top-blown converter roughing technology is utilized, the intelligent smelting is realized from the storage management, the material inspection data in the inspection management, the links of batching, smelting, discharging (slag, flue gas and metal) and the like, and the full-flow automatic control is realized by main equipment. Production management data of an ERP layer and an MES layer and real-time monitoring feedback data of an equipment layer are introduced to carry out calculation analysis, so that the functions of intelligent analysis, intelligent adjustment, automatic optimization of operation parameters, automatic deviation correction and the like of main operation parameters are realized, and an alarm is given in time when abnormality occurs. In the burdening link, smelting slag types to be achieved can be automatically analyzed according to material acceptance conditions, production indexes in the past year, tin concentrates with various different components and return materials with various different components, impurity elements and main element components are analyzed, and metal balance, heat balance and heavy metal balance are analyzed. In the smelting link, the feeding correction can be carried out according to the components of the materials entering the furnace and the achieved target slag form, the deep operation of a spray gun and the adjustment of fuel are carried out according to the automatically measured temperature of a molten pool and the slag form, meanwhile, the generated smoke components are related with dust collection and acid production, and the parameter correction is carried out on the acid production process in advance. And in the discharging link, the real-time monitoring data and the furnace charging material data can be analyzed and compared, so that operation guidance and management are provided for subsequent processes.
An intelligent crude tin smelting method comprises the following steps:
acquiring real-time data of boiler equipment in a smelting process in real time;
and calculating and analyzing the operation plan data, the production management data and the real-time data, so that intelligent analysis and intelligent adjustment are realized on main operation parameters, the operation parameters are automatically optimized, automatic deviation correction is realized, and an alarm is given in time when abnormality occurs.
The method integrates analysis, statistics and management, breaks through conventional single-loop control and ratio control, realizes intelligent smelting of tin smelting rough smelting, and achieves unified coordination and control.
As shown in fig. 1, a conventional batching system is automatically controlled and introduced into an expert system. By receiving the operation condition of ERP and the production plan of MES and combining the existing material inventory, main metal and impurity component information, reasonable smelting slag types are selected for proportioning, and the proportioning information is written into a proportioning system of DCS. Meanwhile, the ingredients are corrected according to the analysis result of the process smelting slag sample. And the most reasonable metallurgical slag form can be optimized by introducing big data analysis and comparing the slag form batching condition and economic and technical indexes for many years.
According to the actual feeding condition in the DCS batching system, the required fuel quantity and the real-time slag pool depth are calculated, and the lifting and descending quantity operation of the spray gun is optimally controlled by carrying out heat balance calculation. In a metallurgical expert system, the air backpressure of a spray gun, the ventilation backpressure of a sleeve, the oxygen backpressure, the temperature of a molten pool, the fuel quantity and the position information of the spray gun are introduced, and the analysis of big data is combined to judge whether the spray gun is damaged or not and prompt an operator whether the spray gun needs to be replaced or not.
Through the balance calculation of the materials entering the furnace and the materials output, the technical indexes of the production economy and the operation are associated, and an expert system is analyzed and optimized to provide guidance for the next-stage operation.
And by collecting analysis and calculation of the input and output harmful impurities, production guidance is provided for the next procedure. Such as: providing reference for boiler feed water of waste heat power generation through heat balance calculation; providing reference for an acid making system through the SO2 content and the oxygen amount (air amount) in the material; by collecting the heavy metal component distribution in each link, a decision basis is provided for environmental protection management.
In this embodiment:
1. in the equipment layer, a batching system, a furnace cooling water system, a coal (fuel) feeding system, a spray gun control system, a fluid control system and a batching system are needed, all the systems realize automatic control, and analysis data required by an expert system is collected and uploaded.
2. The control layer needs to establish a stable and reliable DCS system and can realize data interaction with the MES.
3. The MES layer needs to integrate various data of the whole crude tin production for the use of an expert system, needs to analyze the production data of each period and time period, establishes an expert model and sends an analysis result to the DCS.
4. The operation management layer needs to establish an ERP system for operation decision.
5. And establishing a big data analysis model. And collecting and arranging data in a certain time period, and comparing and optimizing various control indexes.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the utility model. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (6)

1. The utility model provides an intelligence crude tin smelting system which characterized in that includes: the system comprises an operation management layer EPR, an execution manufacturing layer MES, a control layer DCS and an equipment layer;
the operation management layer is used for receiving an operation plan and sending operation plan data to the execution manufacturing layer;
the performing the fabrication layer includes: an MES management system, a smelting expert system and a spray gun expert system; the MES management system is used for receiving the operation plan sent by the operation management layer and generating production management data according to the operation plan; the smelting expert system is used for comparing the smelting data acquired in real time with the data in the expert database to realize the adjustment and control of the smelting process, and the spray gun expert system is used for comparing the smelting data acquired in real time with the data in the expert database to realize the control of a spray gun and the judgment of the damage of the spray gun;
the control layer is used for receiving real-time data to control the boiler equipment in the smelting process in real time;
the equipment layer collects real-time data of boiler equipment in the smelting process and sends the real-time data to the control layer and the execution and manufacturing layer.
2. The intelligent crude tin smelting system according to claim 1, wherein the MES management system comprises an environmental protection management module, a production task management module, an inspection management module and a storage management module;
the environment-friendly management module is used for managing environmental hazard factors generated in the crude tin smelting process;
the production task management is used for executing a monthly production plan, subdividing daily production tasks and class production tasks, and selecting an optimal production scheme by combining data of a raw material bin;
the inspection management is used for analyzing the material components required by the crude tin production and analyzing the quality of the produced crude tin;
the storage management module is used for managing tin-containing raw materials, auxiliary materials and crude tin products and performing collection management between the next procedure.
3. The intelligent crude tin smelting system according to claim 2, wherein the smelting expert system receives and analyzes environmental protection management data, production task management and inspection management data, and real-time data collected by the equipment layer to realize distribution of batching data, material balance, heat balance and selection and correction of slag types.
4. The intelligent crude tin smelting system according to claim 1, wherein the control layer comprises: and the fuming furnace control module and the top-blown furnace control module are respectively used for adjusting and correcting the control command of the fuming furnace and the top-blown furnace according to the real-time data acquired by the equipment layer so as to realize the control of the fuming furnace and the top-blown furnace.
5. The intelligent crude tin smelting system according to claim 1, wherein the control layer further comprises: and the preheating boiler control module and the acid making control module are respectively used for preheating the top-blown converter and correcting acid making process parameters according to the real-time data acquired by the equipment layer and further completing acid making.
6. The intelligent crude tin smelting system of claim 1, wherein the equipment layer comprises a boiler cooling system, a coal feeding system, a batching system, a lance movement system, and a lance fluid control system, wherein:
the boiler cooling system collects the water consumption and temperature of the top-blown converter in real time and collects the temperature of a molten pool;
the coal feeding system collects the coal burning amount in real time;
the batching system collects the amount of reducing coal, the amount of tin concentrate, the amount of return materials, and the amount of quartz and limestone generated by the top blowing furnace in real time;
the spray gun motion system acquires the real-time position of a spray gun and the up-down operation data of the spray gun in real time;
the spray gun fluid control system collects spray gun wind back pressure, sleeve ventilation back pressure and oxygen back pressure in real time.
CN202122335830.8U 2021-09-26 2021-09-26 Intelligent crude tin smelting system Active CN215975982U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202122335830.8U CN215975982U (en) 2021-09-26 2021-09-26 Intelligent crude tin smelting system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202122335830.8U CN215975982U (en) 2021-09-26 2021-09-26 Intelligent crude tin smelting system

Publications (1)

Publication Number Publication Date
CN215975982U true CN215975982U (en) 2022-03-08

Family

ID=80571011

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202122335830.8U Active CN215975982U (en) 2021-09-26 2021-09-26 Intelligent crude tin smelting system

Country Status (1)

Country Link
CN (1) CN215975982U (en)

Similar Documents

Publication Publication Date Title
EP3244271B1 (en) Ore dressing multi-production-index optimization decision making system and method based on cloud and mobile terminal
CN104630410A (en) Real-time dynamic converter steelmaking quality prediction method based on data analysis
CN104835012A (en) Iron and steel enterprise production scheduling management system and production scheduling management method
CN111077869A (en) Optimization control method and system for big data intelligent control bag-type dust collector
Lin et al. Consideration of green intelligent steel processes and narrow window stability control technology on steel quality
CN110322057B (en) Prediction system and prediction method for carbon component in tapping of 100t direct-current electric arc furnace
CN106408153A (en) Case reasoning-based steel enterprise production dynamic scheduling adjustment method and expert system
CN108265157A (en) Intelligent arc furnace steelmaking system
CN109489261A (en) A kind of hot-blast stove Intellectualized controller that can be monitored in real time
CN215975982U (en) Intelligent crude tin smelting system
CN109306385A (en) A kind of blast furnace top pressure stabilizing control system and its control method
CN107153927B (en) Steel production malfunction management method
CN113737015B (en) Intelligent crude tin smelting system and method
CN113240244A (en) Automatic casting blank grading judgment method suitable for tracking steel-making production
CN111898975A (en) Intelligent scheduling system and method for steelmaking production process
CN110991772B (en) Efficient furnace protection method for predicting final slag viscosity model of converter
CN113805536A (en) Centralized control system, method and medium based on industrial internet platform
CN116109069A (en) Big data fusion application control method based on iron and steel enterprises
CN113778035B (en) Intelligent crude tin smelting system
CN209210838U (en) A kind of blast furnace top pressure stabilizing control system
CN105242545B (en) A kind of Forecasting Methodology of the coverter pig oxygen flow based on process batch model
CN205258519U (en) Converter process control monitoring device
CN114153185A (en) Steelmaking-continuous casting flexible scheduling optimization method and system based on dynamic multi-objective differential evolution algorithm
CN110857837B (en) Multi-blast-furnace-based intelligent control method for raw fuel delivery logistics
CN105950866A (en) Optimal control method based on oxidation-reduction potential and used for liquid zinc purification and copper removal process

Legal Events

Date Code Title Description
GR01 Patent grant
GR01 Patent grant