CN110105974B - Coking and coal blending intelligent control system - Google Patents
Coking and coal blending intelligent control system Download PDFInfo
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- CN110105974B CN110105974B CN201910517621.XA CN201910517621A CN110105974B CN 110105974 B CN110105974 B CN 110105974B CN 201910517621 A CN201910517621 A CN 201910517621A CN 110105974 B CN110105974 B CN 110105974B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01F—MIXING, e.g. DISSOLVING, EMULSIFYING OR DISPERSING
- B01F23/00—Mixing according to the phases to be mixed, e.g. dispersing or emulsifying
- B01F23/60—Mixing solids with solids
- B01F23/69—Mixing systems, i.e. flow charts or diagrams; Arrangements, e.g. comprising controlling means
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01F—MIXING, e.g. DISSOLVING, EMULSIFYING OR DISPERSING
- B01F35/00—Accessories for mixers; Auxiliary operations or auxiliary devices; Parts or details of general application
- B01F35/20—Measuring; Control or regulation
- B01F35/21—Measuring
- B01F35/211—Measuring of the operational parameters
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01F—MIXING, e.g. DISSOLVING, EMULSIFYING OR DISPERSING
- B01F35/00—Accessories for mixers; Auxiliary operations or auxiliary devices; Parts or details of general application
- B01F35/80—Forming a predetermined ratio of the substances to be mixed
- B01F35/81—Forming mixtures with changing ratios or gradients
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- C—CHEMISTRY; METALLURGY
- C10—PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
- C10B—DESTRUCTIVE DISTILLATION OF CARBONACEOUS MATERIALS FOR PRODUCTION OF GAS, COKE, TAR, OR SIMILAR MATERIALS
- C10B57/00—Other carbonising or coking processes; Features of destructive distillation processes in general
- C10B57/04—Other carbonising or coking processes; Features of destructive distillation processes in general using charges of special composition
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01F—MIXING, e.g. DISSOLVING, EMULSIFYING OR DISPERSING
- B01F2101/00—Mixing characterised by the nature of the mixed materials or by the application field
- B01F2101/501—Mixing combustion ingredients, e.g. gases, for burners or combustion chambers
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- Chemical Kinetics & Catalysis (AREA)
- Engineering & Computer Science (AREA)
- Materials Engineering (AREA)
- Oil, Petroleum & Natural Gas (AREA)
- Organic Chemistry (AREA)
- Coke Industry (AREA)
Abstract
The invention discloses an intelligent control system for coking and coal blending, which comprises a user layer, a process layer and a data layer; the user layer is used for displaying working parameters of the intelligent coking and coal blending control system, receiving control parameters set by a user for the intelligent coking and coal blending control system and issuing a process layer; the process layer is used for receiving the control parameters issued by the user layer, calculating the optimized parameters of the production process and issuing the optimized parameters to the actuating mechanism; and the data layer is used for storing basic data of the coking and coal blending intelligent control system. According to the invention, through intelligent control and process control of the coking plant, the optimal coal blending ratio can be simply and rapidly calculated, and the coal blending efficiency is improved; meanwhile, the whole intelligent control can be rapidly carried out on the whole plant, so that the production cost is reduced, the control is accurate and rapid, and the operation is simple.
Description
Technical Field
The invention particularly relates to an intelligent control system for coking and coal blending.
Background
With the development of economic technology, people have higher and higher requirements on living standards, and the demands of consumer goods such as automobiles are also higher and higher.
A coke-oven plant is a production site for converting coal into chemical products. The main raw materials of coking plant are coal, which is extracted through high-temp dry distillation process to obtain coal gas, and through a series of chemical technological processes, the said coal gas can be extracted to obtain saccharin, tar, asphalt, coke and many chemical raw materials for pharmacy. The coking plant can provide various types of coking products for the society and is an important component of the social development.
However, at present, for the control of the coal blending process of a coking plant, manual coal blending is often adopted, which not only wastes time and labor, but also has the following problems: the coal blending process is influenced by experience and technology of coal blending workers, so that the production quality of a coking plant is unstable; the manual coal blending process is very extensive, and resource waste is easily caused; and the whole system cannot be optimized by manual coal blending, so that the efficiency of the system is reduced, and the cost is high.
Disclosure of Invention
The invention aims to provide an intelligent coking and coal blending control system which is high in reliability, high in efficiency and relatively low in cost.
The intelligent control system for coking and coal blending provided by the invention comprises a user layer, a process layer and a data layer; the user layer is used for displaying working parameters of the intelligent coking and coal blending control system, receiving control parameters set by a user for the intelligent coking and coal blending control system and issuing a process layer; the process layer is used for receiving the control parameters issued by the user layer, calculating the optimized parameters of the production process and issuing the optimized parameters to the actuating mechanism; and the data layer is used for storing basic data of the coking and coal blending intelligent control system.
The process layer comprises a coking and coal blending production calculation process and a coal blending optimization calculation process; in the coking and coal blending production calculation process, firstly, the coal as fired index is calculated according to the control parameters and the production index set by a user, and then the final coal blending ratio is calculated according to the calculated coal as fired index; and in the coal blending optimization calculation process, the mixed coal data is calculated according to the coke quality requirements of customers, so that the coal blending ratio is obtained.
The data layer is used for storing basic data of the intelligent coking and coal blending control system, specifically, a local database is constructed for storing the basic data based on process working condition data of coking production and coal blending production and set control parameters, a coal-coking-coal rule base and a single-mixed coal rule base are constructed according to the formed database, and the constructed rule base is corrected in the working process of the intelligent coking and coal blending control system.
The data layer is divided into a process data layer and a system data layer; the process data layer is used for storing basic data of the production process, and specifically comprises a coal type inspection database, a coal type inventory database, a coking inspection database and a coal blending system database; the system data layer is used for collecting and storing data of the process data layer, and specifically comprises a coal quality database, a coming coal database, a coke quality prediction database and a proportioning scheme database.
The intelligent coking and coal blending control system comprises a coal-coking-chemical data mining algorithm, a single-mixed coal data mining algorithm, a working condition information and deviation analysis algorithm, a coking working condition and fault diagnosis algorithm and a coal blending working condition and fault diagnosis algorithm:
the coal-coke-chemical data mining algorithm adopts a tracking matching algorithm, and calculates the coal as fired index by combining coke oven working condition information, actual coke quality index and chemical yield information based on the coal blending rule obtained by data mining;
the single-mixed coal data mining algorithm adopts a linear regression algorithm, and calculates a coal blending ratio based on a coal blending rule obtained by data mining by combining coal blending working condition information and actual as-fired coal index information;
a tracking matching algorithm is adopted for the working condition information and deviation analysis algorithm, and a working condition deviation value is calculated based on working condition data to obtain a coal blending ratio correction scheme;
a tracking matching algorithm is adopted for the coking condition and fault diagnosis algorithm, and a deviation value of the coking condition is calculated based on coking condition data to obtain a coal blending ratio correction scheme;
and (3) adopting a tracking matching algorithm for the coal blending working condition and fault diagnosis algorithm, and calculating a deviation value of the coal blending working condition based on the coal blending working condition data to obtain a coal blending ratio correction scheme.
The intelligent control system for coking and coal blending provided by the invention can simply and quickly calculate the optimal coal blending ratio through intelligent control and process control of a coking plant, and improve the coal blending efficiency; meanwhile, the whole intelligent control can be rapidly carried out on the whole plant, so that the production cost is reduced, the control is accurate and rapid, and the operation is simple.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention.
FIG. 2 is a system architecture diagram of the present invention.
FIG. 3 is a diagram of a hardware system according to the present invention.
Detailed Description
Fig. 1 is a schematic diagram of the system structure of the present invention: the intelligent control system for coking and coal blending provided by the invention comprises a user layer, a process layer and a data layer; the user layer is used for displaying working parameters of the intelligent coking and coal blending control system, receiving control parameters set by a user for the intelligent coking and coal blending control system and issuing a process layer; the process layer is used for receiving the control parameters issued by the user layer, calculating the optimized parameters of the production process and issuing the optimized parameters to the actuating mechanism; and the data layer is used for storing basic data of the coking and coal blending intelligent control system.
The process layer comprises a coking and coal blending production calculation process and a coal blending optimization calculation process; in the coking and coal blending production calculation process, firstly, the coal as fired index is calculated according to the control parameters and the production index set by a user, and then the final coal blending ratio is calculated according to the calculated coal as fired index; and in the coal blending optimization calculation process, the mixed coal is calculated according to the coke quality index and the chemical yield given by a user, so that the coal blending ratio is obtained. In the optimization calculation process, the coking working condition data and the coal blending working condition data from the coking production process also participate in the calculation of the data mining algorithm, and the actual coke quality data and the chemical yield data as well as the actual as-fired coal index data and the coal blending ratio data are respectively used as correction data of the corresponding data mining algorithm to further optimize the algorithm calculation process.
The data layer is used for storing basic data of the intelligent coking and coal blending control system, specifically, a local database is constructed for storing the basic data based on process working condition data of coking production and coal blending production and set control parameters, a coal-coking-coal rule base and a single-mixed coal rule base are constructed according to the formed database, and the constructed rule base is corrected in the working process of the intelligent coking and coal blending control system. Meanwhile, all databases and rule bases are uploaded to a coking and coal blending data cloud, coal blending calculation is further optimized through big data analysis and intelligent decision, and finally strong data support is formed.
The data layer is divided into a process data layer and a system data layer; the process data layer is used for storing basic data of the production process, and specifically comprises a coal type inspection database, a coal type inventory database, a coking inspection database and a coal blending system database; the system data layer is used for collecting and storing data of the process data layer, and specifically comprises a coal quality database, a coming coal database, a coke quality prediction database and a proportioning scheme database.
In specific implementation, the coking and coal blending intelligent control system comprises a coal-coking-coal data mining algorithm, a single-mixed coal data mining algorithm, a working condition information and deviation analysis algorithm, a coking working condition and fault diagnosis algorithm and a coal blending working condition and fault diagnosis algorithm: the coal-coke-chemical data mining algorithm adopts a tracking matching algorithm, and calculates the coal as fired index by combining coke oven working condition information, actual coke quality index and chemical yield information based on the coal blending rule obtained by data mining;
the single-mixed coal data mining algorithm adopts a linear regression algorithm, and calculates a coal blending ratio based on a coal blending rule obtained by data mining by combining coal blending working condition information and actual as-fired coal index information;
a tracking matching algorithm is adopted for the working condition information and deviation analysis algorithm, and a working condition deviation value is calculated based on working condition data to obtain a coal blending ratio correction scheme;
a tracking matching algorithm is adopted for the coking condition and fault diagnosis algorithm, and a deviation value of the coking condition is calculated based on coking condition data to obtain a coal blending ratio correction scheme;
and (3) adopting a tracking matching algorithm for the coal blending working condition and fault diagnosis algorithm, and calculating a deviation value of the coal blending working condition based on the coal blending working condition data to obtain a coal blending ratio correction scheme.
FIG. 2 is a schematic diagram of the system architecture of the present invention: from the data, the method can be divided into four layers, namely: the device comprises a process data layer, a model layer and an interaction layer.
A process data layer: the system is used for storing basic data in the production process, and comprises coal type inspection data (including coal type names, coal type components and the like), coal type inventory data (including the inventory quantity of the current coal types in a coal yard), coking inspection data (including coke components and the like), and a coal blending system (including the rotating speed or frequency of a coal blending plate, the weight of a blending scale and the like).
And (3) a data layer: the data acquisition of the process data layer is realized and the process data layer is stored; meanwhile, the proportioning scheme provided by the intelligent coal blending model is received. The data layer is also a database part in the software system and mainly comprises a coal quality database, a coming coal database, a coke quality prediction database, a proportioning scheme database and other sets of databases.
A model layer: the intelligent coal blending prediction model is an important component of the system. The single coal is proportioned and then is dry distilled into coke, and the conversion between the components in the process is not a simple linear relation, so that a more complex model algorithm exists. The proportioning scheme is calculated by combining a relevant algorithm according to user parameters and a rule base provided by an interaction layer, and the components of the coke are predicted. Meanwhile, it also needs to compare the formed coke composition with the predicted coke composition to obtain the corresponding relationship between them. The interaction layer is an operation window provided for a user, and the user can select coal parameters participating in matching, set a matching rule base, manually analyze coal matching components, query related operation data and the like in the user interaction layer.
FIG. 3 is a schematic diagram of a hardware system according to the present invention: the hardware architecture of the invention comprises a coal blending operation room, a laboratory, a coal preparation operation room, a server and the like. The coal blending operation chamber realizes coking and coal blending, and the optimal coal blending ratio is calculated. The laboratory tests coal tar data and records the test data. The coal preparation operation chamber prepares coal according to the coal blending ratio. The server adopts a professional server, meets the requirements of system performance and data safety, and mainly loads an application program and a database. The dual redundant network, the dual redundant server and the dual redundant main control unit ensure the reliable operation of the whole system.
Claims (3)
1. An intelligent control system for coking and coal blending is characterized by comprising a user layer, a process layer and a data layer; the user layer is used for displaying working parameters of the intelligent coking and coal blending control system, receiving control parameters set by a user for the intelligent coking and coal blending control system and issuing a process layer; the process layer is used for receiving the control parameters issued by the user layer, calculating the optimized parameters of the production process and issuing the optimized parameters to the actuating mechanism; the data layer is used for storing basic data of the coking and coal blending intelligent control system;
the data layer is divided into a process data layer and a system data layer; the process data layer is used for storing basic data of the production process, and specifically comprises a coal type inspection database, a coal type inventory database, a coking inspection database and a coal blending system database; the system data layer is used for collecting and storing data of the process data layer, and specifically comprises a coal quality database, a coming coal database, a coke quality prediction database and a proportioning scheme database;
the intelligent coking and coal blending control system comprises a coal-coking-chemical data mining algorithm, a single-mixed coal data mining algorithm, a working condition information and deviation analysis algorithm, a coking working condition and fault diagnosis algorithm and a coal blending working condition and fault diagnosis algorithm:
the coal-coke-chemical data mining algorithm adopts a tracking matching algorithm, and calculates the coal as fired index by combining coke oven working condition information, actual coke quality index and chemical yield information based on the coal blending rule obtained by data mining;
the single-mixed coal data mining algorithm adopts a linear regression algorithm, and calculates a coal blending ratio based on a coal blending rule obtained by data mining by combining coal blending working condition information and actual as-fired coal index information;
a tracking matching algorithm is adopted for the working condition information and deviation analysis algorithm, and a working condition deviation value is calculated based on working condition data to obtain a coal blending ratio correction scheme;
a tracking matching algorithm is adopted for the coking condition and fault diagnosis algorithm, and a deviation value of the coking condition is calculated based on coking condition data to obtain a coal blending ratio correction scheme;
and (3) adopting a tracking matching algorithm for the coal blending working condition and fault diagnosis algorithm, and calculating a deviation value of the coal blending working condition based on the coal blending working condition data to obtain a coal blending ratio correction scheme.
2. The intelligent control system for coking and coal blending according to claim 1, wherein the process layer comprises a coking and coal blending production calculation process and a coal blending optimization calculation process; in the coking and coal blending production calculation process, firstly, the coal as fired index is calculated according to the control parameters and the production index set by a user, and then the final coal blending ratio is calculated according to the calculated coal as fired index; and in the coal blending optimization calculation process, the mixed coal data is calculated according to the coke quality requirements of customers, so that the coal blending ratio is obtained.
3. The intelligent coking and coal blending control system according to claim 1 or 2, wherein the data layer is configured to store basic data of the intelligent coking and coal blending control system, specifically, a local database is configured to store the basic data based on process condition data of coking production and coal blending production and set control parameters, a coal-coke-chemical rule base and a single-mixed coal rule base are configured according to the formed database, and the configured rule bases are modified during the operation of the intelligent coking and coal blending control system.
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| CN113289542B (en) * | 2020-08-20 | 2022-06-07 | 中冶长天国际工程有限责任公司 | Mixing machine control system and method based on optimal mixing energy efficiency ratio |
| CN116651306B (en) * | 2023-08-01 | 2023-10-03 | 山西中科冶金建设有限公司 | Intelligent coking coal proportioning system |
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| KR100525472B1 (en) * | 2004-01-20 | 2005-10-31 | 주식회사 아이스기술 | power plant boiler optimum combustion control system through uniformity of pulverized coal distribution |
| US20070000416A1 (en) * | 2005-06-30 | 2007-01-04 | General Electric Company | Method and System for controlling coal flow |
| CN100351343C (en) * | 2005-09-30 | 2007-11-28 | 中冶焦耐工程技术有限公司 | Optimum system for distributing coal of coking controlled by computer |
| CN1831087A (en) * | 2006-04-07 | 2006-09-13 | 安徽工业大学 | Method for calculating thermal property of coke and control method therefor |
| CN103729691B (en) * | 2013-12-20 | 2017-02-01 | 西安理工大学 | Multi-target coal distribution method based on uniform design |
| CN103853915A (en) * | 2014-01-14 | 2014-06-11 | 辽宁科技大学 | Method for predicting coke quality through coking coal nonlinear optimization coal blending |
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Effective date of registration: 20211223 Address after: No.28 Kangwang Industrial Park, Yueyang Economic and Technological Development Zone, Yueyang City, Hunan Province, 414000 Patentee after: HUNAN QIANMENG INDUSTRIAL INTELLIGENT SYSTEM Co.,Ltd. Address before: Room 507, accelerator workshop, building B-3, 627 Lugu Avenue, Yuelu District, Changsha City, Hunan Province, 410205 Patentee before: HUNAN CHAIRMAN INTELLIGENT INFORMATION TECHNOLOGY CO.,LTD. |
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