CN116862213A - Method, device, medium and equipment for decomposing energy consumption index of production line of cold rolling mill - Google Patents
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Abstract
The application provides a method, a device, a medium and equipment for decomposing energy consumption indexes of a production line of a cold rolling mill, wherein the method comprises the following steps: obtaining production plan information of steel coils of each production line of a cold rolling mill, calculating estimated energy consumption of each production line through a first calculation model, and then calculating estimated total energy consumption; calculating the ratio of the estimated energy consumption pre-estimated total energy consumption of each production line, and calculating and decomposing the planned total energy consumption of each production line through a second calculation model to obtain the comprehensive energy consumption index of each production line; and calculating and decomposing the comprehensive energy consumption index through a third calculation model to obtain the energy consumption index of each medium of each production line. The application solves the problem that the energy consumption index is unreasonable to be formulated when the energy consumption index is formulated in each production line of the cold rolling mill, and the energy consumption index of each production line of the cold rolling mill is scientifically and reasonably formulated based on historical big data by considering the actual conditions of different production lines and the energy consumption change when different varieties and specifications are produced, so that the method has strong performability and greatly improves the formulation efficiency of the energy consumption index.
Description
Technical Field
The application relates to the technical field of steelmaking, in particular to a method, a device, a medium and equipment for decomposing energy consumption indexes of a production line of a cold rolling mill.
Background
The production line of steel works, especially cold rolling plants, belongs to a long-flow continuous production line, has high automation degree, can produce products of various types and specifications, and has various medium types such as electricity, fuel gas, compressed air, desalted water, industrial water and the like consumed by a unit. In addition, different product specifications, strength, width, thickness and the like can be different, and the requirements on process control parameters such as the running speed, the tension, the temperature and the like of the production line are also different, so that the consumed energy media can be obviously different. Even if the same product specification is adopted, in different unit production, the energy consumption difference is larger due to the difference of various factors such as equipment level, working condition and the like of the unit. Therefore, the energy management method does not take variety and specification and unit difference into consideration, and cannot play a practical guiding role.
Based on the method, the actual working conditions of all production lines and the difference of energy medium consumption caused by the control parameter change in the production of different varieties and specifications can be fully considered, and reasonable energy consumption indexes are formulated for all production lines by combining the conditions, so that the method is a technical problem to be solved urgently.
Disclosure of Invention
The application aims to provide a method, a device, a medium and electronic equipment for decomposing energy consumption indexes of production lines of a cold rolling mill, which solve the problem that the energy consumption indexes are unreasonable to be formulated when the energy consumption indexes are prepared by all production lines of the cold rolling mill.
Specifically, the application adopts the following technical scheme:
according to an aspect of the embodiment of the application, there is provided a method for decomposing an energy consumption index of a cold rolling mill production line, the method comprising: acquiring steel coil production plan information of each production line of a cold rolling mill, calculating estimated energy consumption of each production line through a first calculation model based on the steel coil production plan information, and pre-calculating estimated total energy consumption according to the estimated energy consumption; calculating the ratio of the estimated energy consumption pre-estimated total energy consumption of each production line, and calculating and decomposing the planned total energy consumption of each production line through a second calculation model based on the ratio to obtain the comprehensive energy consumption index of each production line; and calculating and decomposing the comprehensive energy consumption index through a third calculation model to obtain the energy consumption index of each medium of each production line.
In some embodiments of the application, based on the foregoing, the first calculation model includes:
E i estimate ＝∑ i E ij (comprehensive) *P ij
Wherein E is i estimate The estimated energy consumption E of producing steel j coils for the production line i ij (comprehensive) Comprehensive ton steel consumption, P, required for producing steel type j steel coils for the production line i ij And (5) producing the planned output of the steel coil of the steel grade j for the production line i.
In some embodiments of the application, based on the foregoing scheme, the E ij (comprehensive) The calculation formula of (2) is as follows:
wherein E is ij (comprehensive) Comprehensive ton steel consumption E required for producing steel coil x of steel grade j for said production line i xn To produce the comprehensive energy consumption of the n steel coils x of steel types j, P xn The weight of the steel coil x is n steel types j.
In some embodiments of the present application, based on the foregoing solution, the calculating the estimated total energy consumption according to the estimated energy consumption includes: and pre-adding the estimated energy consumption of each production line to obtain the estimated total energy consumption.
In some embodiments of the application, based on the foregoing, the second calculation model includes:
wherein E is i branch (heddle) E is the comprehensive energy consumption index of the production line i i estimate The estimated energy consumption E of producing steel j coils for the production line i Total estimate of For the estimated total energy consumption of each production line E Meter with a meter body The planned total energy consumption for the production line i.
In some embodiments of the application, based on the foregoing, the third calculation model includes:
wherein E is i point (Medium) Energy consumption indexes, E of each medium for producing steel j coils of the production line i ij (Medium) And (5) the medium ton steel consumption required by producing steel coils of steel types j for the production line i.
In some embodiments of the application, based on the foregoing scheme, the E ij (Medium) The calculation formula of (2) is as follows:
wherein E is Electric xn The electric energy consumption for producing n steel coils x of steel type j is required.
According to an aspect of the embodiment of the present application, there is provided a cold rolling mill production line energy consumption index decomposition device, the device comprising: the first calculation unit is used for acquiring steel coil production plan information of each production line of the cold rolling mill, calculating estimated energy consumption of each production line through a first calculation model based on the steel coil production plan information, and then pre-calculating estimated total energy consumption according to the estimated energy consumption; the second calculation unit is used for calculating the ratio of the estimated energy consumption pre-estimated total energy consumption of each production line, and calculating and decomposing the planned total energy consumption of each production line through a second calculation model based on the ratio to obtain the comprehensive energy consumption index of each production line; and the third calculation unit is used for calculating and decomposing the comprehensive energy consumption index through a third calculation model to obtain the energy consumption index of each medium of each production line.
According to an aspect of the embodiment of the present application, there is provided a computer readable storage medium having at least one program code stored therein, the at least one program code being loaded and executed by a processor to implement the operations performed by the cold mill production line energy consumption index decomposition method as described above.
According to an aspect of an embodiment of the present application, there is provided an electronic device including a memory storing a computer program and a processor which when executed implements operations performed by the cold mill production line energy consumption index decomposition method as described above.
According to the technical scheme, the application has at least the following advantages and positive effects:
the proposal provided by the application can solve the problem that the energy consumption index is unreasonable to be formulated when the energy consumption index is formulated in each production line of the cold rolling mill, and reasonably formulated the energy consumption index of each production line of the cold rolling mill based on historical big data by considering the actual conditions of different production lines and the energy consumption change when different varieties and specifications are produced, thereby greatly improving the formulation efficiency of the energy consumption index and reducing the energy consumption.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 shows a flow chart of a cold rolling mill production line energy consumption index decomposition method in one embodiment of the application;
FIG. 2 is a schematic flow chart showing a process for decomposing energy consumption indexes of cold rolling mill production lines according to an embodiment of the application;
FIG. 3 shows a block diagram of a cold rolling mill production line energy consumption index decomposition device according to an embodiment of the present application;
fig. 4 shows a schematic diagram of a computer system suitable for use in implementing an embodiment of the application.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the application. One skilled in the relevant art will recognize, however, that the application may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the application.
The flow diagrams depicted in the figures are exemplary only, and do not necessarily include all of the elements and operations/steps, nor must they be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.
It should be noted that the terms "first," "second," and the like in the description and claims of the present application and in the above-described figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the objects so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in other sequences than those illustrated or otherwise described.
The main product of cold rolling is steel coil, and usually, one steel coil can only be one variety and specification (same width and thickness). The total amount of each steel coil is 10 tons to 30 tons, and each steel coil is provided with a unique number. Large cold rolling plants typically have many acid rolling lines, continuous annealing lines, galvanization lines, etc., and the variety and specification are thousands. The same production line produces steel coils with different varieties and specifications, the energy consumption is different, and the steel coils with the same variety and specification are produced in different production lines, so that the energy consumption is also different. The traditional energy management mode has no big data support, and adopts manual combination experience to carry out energy consumption statistics and formulate energy consumption indexes for production lines. However, according to experience, different product specifications, strength, width, thickness and the like can be different, and requirements on process control parameters such as running speed, tension, temperature and the like of a production line are different, so that consumed energy media can be obviously different. Even if the same product specification is adopted, in different unit production, the energy consumption difference is larger due to the difference of various factors such as equipment level, working condition and the like of the unit. Therefore, the energy management method does not take variety and specification and unit difference into consideration, and cannot play a practical guiding role.
Based on the problems, the application provides a method, a device, a medium and equipment for decomposing energy consumption indexes of production lines of a cold rolling mill, which can solve the problem that the energy consumption indexes are unreasonable to be formulated when the energy consumption indexes are produced by the production lines of the cold rolling mill.
The implementation details of the technical scheme of the embodiment of the application are described in detail below:
referring to fig. 1, fig. 1 is a flowchart illustrating a method for decomposing energy consumption indexes of a cold rolling mill production line according to an embodiment of the present application.
According to an exemplary embodiment of the present application, there is provided a method for decomposing an energy consumption index of a cold rolling mill production line, the method comprising the following steps S1 to S3:
step S1, steel coil production plan information of each production line of a cold rolling mill is obtained, estimated energy consumption of each production line is calculated through a first calculation model based on the steel coil production plan information, and then estimated total energy consumption is estimated according to the estimated energy consumption.
In the application, when energy consumption indexes are manufactured for each production line of a cold rolling mill, steel coil production plan information of each production line of the cold rolling mill is required to be acquired firstly, wherein the steel coil production plan information can comprise varieties and specifications of steel coils produced by each production line, planned output of the steel coils of each variety and specification, comprehensive energy consumption required for producing the steel coils of each variety and specification, energy consumption of each medium, comprehensive ton steel consumption for producing the steel coils of each variety and specification, ton steel consumption of each medium, and the like (all are historical data and can be historical records of nearly 1-3 years), then, based on the steel coil production plan information, the estimated energy consumption of each production line is calculated through a first calculation model, and then the estimated total energy consumption is estimated according to the estimated energy consumption.
For example, the production line of the cold rolling mill may include a production line i, a production line k and a production line h, the planned total energy consumption of the production line i in the next month is required to be allocated, the variety and the specification of the steel coil produced by the production line i in one month, the comprehensive energy consumption of the corresponding planned output and required consumption and the energy consumption of each medium are obtained first, then the estimated energy consumption of the production line i in the next month is calculated through a first calculation model, the estimated energy consumption calculation methods of the production line k and the production line h in the next month are the same, and finally the estimated total energy consumption is calculated according to the estimated energy consumption of the three production lines.
And S2, calculating the ratio of the estimated energy consumption to the estimated total energy consumption of each production line, and calculating and decomposing the planned total energy consumption of each production line through a second calculation model based on the ratio to obtain the comprehensive energy consumption index of each production line.
In the application, after the estimated energy consumption pre-and the estimated total energy consumption of each production line are calculated, the ratio of the estimated energy consumption pre-and the estimated total energy consumption of each production line can be calculated to calculate the percentage of the estimated energy consumption pre-divided by the estimated total energy consumption required by each production line, and after the ratio is calculated, the planned total energy consumption of each production line is calculated and decomposed through a second calculation model based on the ratio (the planned total energy consumption is the total target distributed by a company according to a cost task) so as to obtain the comprehensive energy consumption index of each production line, so that the comprehensive energy consumption index is scientifically and reasonably formulated and planned and decomposed.
Continuing taking the production line i, the production line k and the production line h as examples, after calculating the production line i, the production line k, the estimated energy consumption of the production line h for the month and the estimated total energy consumption of the three production lines, calculating the production line i, the production line k, the ratio of the estimated energy consumption required for the production line h for the month to the estimated total energy consumption, so as to calculate the pre-dividing percentage of the estimated total energy consumption required for the three production lines, for example, calculate the production line i to 45% of the estimated total energy consumption, the production line k to 30% of the estimated total energy consumption, and the production line h to 25% of the estimated total energy consumption.
After calculating the ratio, calculating and decomposing the planned total energy consumption of the three production line lower months through a second calculation model based on the ratio, wherein the planned total energy consumption can be the planned total energy consumption required by the three production line lower months (can be understood as the planned total energy consumption required by the planned production of all steel coils of the production line i, the production line k) of the cold rolling mill formulated according to the historical production data, and after decomposing the planned total energy consumption, obtaining the production line i, the production line k and the comprehensive energy consumption index of the production line lower months respectively.
And S3, calculating and decomposing the comprehensive energy consumption index through a third calculation model to obtain the energy consumption index of each medium of each production line.
In the application, after the comprehensive energy consumption of each production line of the cold rolling mill is calculated, the comprehensive energy consumption index can be calculated and decomposed through a third calculation model so as to obtain each medium energy consumption index of each production line. Continuing taking the production line i, the production line k and the production line h as examples, after calculating and decomposing the comprehensive energy consumption indexes of the i, the production line k and the production line h for the month, taking the production line i as examples, after calculating and decomposing the comprehensive energy consumption indexes of the production line i, since the production line i is producing the strip steel, the types of the medium such as electricity, gas, compressed air, desalted water, industrial water and the like which are required to be consumed are very many, in order to ensure that the production is stably and smoothly carried out, the medium energy consumption indexes are required to be reasonably arranged, and the comprehensive energy consumption indexes of the production line i can be calculated and decomposed through a third calculation model after the comprehensive energy consumption indexes of the production line i are obtained, so that the medium energy consumption indexes required for the production of the month of the production line i are obtained. And the calculation and decomposition method of the energy consumption indexes of each medium in the production line k, the production line h and other production lines of the cold rolling mill is the same as that of the production line i.
In the present application, the present application will be better understood by way of example, and the detailed description of the energy consumption decomposition process will be made below by taking the production of the cold rolling mill in the production line i for a month as an example with reference to fig. 2.
In one embodiment of the application, the first computational model comprises:
E i estimate ＝∑ i E ij (comprehensive) *P ij
Wherein E is i estimate The estimated energy consumption E of producing steel j coils for the production line i ij (comprehensive) Comprehensive ton steel consumption, P, required for producing steel type j steel coils for the production line i ij And (5) producing the planned output of the steel coil of the steel grade j for the production line i.
In one embodiment of the application, the E ij (comprehensive) The calculation formula of (2) is as follows:
wherein E is ij (comprehensive) Comprehensive ton steel consumption E required for producing steel coil x of steel grade j for said production line i xn To produce the comprehensive energy consumption of the n steel coils x of steel types j, P xn The weight of the steel coil x is n steel types j.
In one embodiment of the present application, the calculating the estimated total energy consumption according to the estimated energy consumption includes: the estimated energy consumption of each production line may be pre-added to obtain the estimated total energy consumption.
In the application, reasonable formulation is carried out on the energy consumption index of the production line i of the cold rolling mill, and the planned total energy consumption of the production line i in the lower month and the production plan of the production line i for different production line and different types and specifications (for example, the planned production of producing a certain steel grade in the lower month of the production line i) are determined.
Referring to fig. 2, when steel coil production plan information of a production line i of a cold rolling mill is acquired, steel coils produced on the production line i can be weighed by a steel coil scale on the production line, and energy consumption required by the steel coils produced on the production line i can be recorded by a medium metering device. Taking the production data of the production line i with a history of nearly one calendar as an example, the steel coil of the variety j produced by the production line i can weigh the single steel coil of the variety j through the steel coil weighing, and the weight of all the steel coils of the variety j in the next year is counted to obtain the total weight of the steel coil of the variety j produced by the production line i in one year; the energy consumption required by producing the steel coil of the variety j in the production line i is recorded by a medium metering instrument, and can be divided into comprehensive energy consumption and medium energy consumption, and the energy of all the steel coils of the variety j in the production line i in the next year is recorded
Consumption was counted and according to the formula:the comprehensive ton steel consumption of the production line i for producing the variety j within one year and the comprehensive energy consumption required by the production line i for producing the one ton variety j can be calculated, and if the ton steel consumption of each medium is required, the ton steel consumption of the water medium required by all steel coils of the variety j produced by the production line i in one year can be counted, and then the formula can be used:other media such as nitrogen, steam, desalted water, gas and the like can be calculated by the same method.
After the comprehensive ton steel consumption of the steel grade j produced by the production line i is calculated, the planned output of the steel coil of the production variety j produced by the production line i in the lower month can be obtained, and based on the comprehensive ton steel consumption and the planned output, the planned output is calculated through a first calculation model: e (E) i estimate ＝∑ i E ij (comprehensive) *P ij The estimated energy consumption required by the steel coil of the variety j of the production planned output of the production line i in the next month is calculated, the estimated energy consumption required by other steel coils of the variety j of the production line i in the next month can be calculated according to the method for calculating the estimated energy consumption required by the steel coil of the variety j of the production planned output of the production line i in the next month, and the estimated energy consumption required by all steel coils of the variety of the production line i in the next month is added to obtain the estimated energy consumption of the production line i in the next month. If the cold rolling mill comprises other production lines, such as production line k and production line h, calculating the estimated energy consumption of the production line k and the production line h in the next month according to the method for calculating the estimated energy consumption of the production line i in the next month, adding the estimated energy consumption of all production lines in the cold rolling mill in the next month, and estimating the total energy consumption in the next month in the cold rolling mill.
In one embodiment of the application, the second computational model comprises:
wherein E is i division(Heald) E is the comprehensive energy consumption index of the production line i i estimate The estimated energy consumption E of producing steel j coils for the production line i Total estimate of For the estimated total energy consumption of each production line E Meter with a meter body The planned total energy consumption for the production line i.
In the application, after calculating the estimated energy consumption of the production line i and the estimated total energy consumption of the cold rolling mill, the ratio of the estimated energy consumption of each production line to the estimated total energy consumption of the cold rolling mill can be calculated, and the planned total energy consumption of each production line is calculated and decomposed through the second calculation model based on the ratio, namely, the production line i, the production line k and the production line h are continuously calculated, and after the ratio of the production line i, the production line k, the production line h and the estimated total energy consumption is calculated respectively, the planned total energy consumption of each production line is decomposed through the second calculation model based on the ratio, so as to obtain the comprehensive energy consumption index of each production line, and the planned total energy consumption is decomposed to the production line i, the production line k and the production line h respectively according to the ratio, so as to obtain the comprehensive energy consumption index of each production line.
In one embodiment of the present application, the third calculation model includes:
wherein E is i point (Medium) Energy consumption indexes, E of each medium for producing steel j coils of the production line i ij (Medium) And (5) the medium ton steel consumption required by producing steel coils of steel types j for the production line i.
In one embodiment of the application, the E ij (Medium) The calculation formula of (a dielectric is taken as an example, and the calculation formula of other media can also adopt the same calculation method):
wherein E is Electric xn Electric energy consumption for producing n steel coils x of steel type j。
In the application, after the comprehensive energy consumption index of each production line is obtained, the specific medium energy consumption of each production line is required to be obtained, the comprehensive energy consumption is also required to be calculated and decomposed, and the comprehensive energy consumption index can be calculated and decomposed through a third calculation model so as to obtain the medium energy consumption index of each production line. After the comprehensive ton steel consumption and the medium ton steel consumption of the production line i lower month production variety j are obtained, the ratio of the medium ton steel consumption to the comprehensive ton steel consumption can be calculated, and the comprehensive energy consumption index is calculated and decomposed through the third calculation model based on the ratio to obtain the medium energy consumption index required by the production line i lower month production variety j, such as the needed demineralized water 2767.35m 3 Requiring compressed air 382441.9m 3 Nitrogen 779652.1m is required 3 Etc. And (3) accurately guiding a production plan and ensuring smooth production by obtaining specific energy consumption indexes of each medium required for producing the steel coil of the variety j in the month of the production line i.
In the application, it is noted that the historical energy consumption data is taken as a calculation basis, and the accuracy of the data needs to be ensured. For the collected data, cleaning is needed, and various abnormal data caused by data jump or communication problems and the like due to the problems of the metering instrument are removed by using standard data analysis processing algorithms such as mean value and variance comparison and the like.
For auxiliary units without product output, such as a circulating water station, a sewage treatment station, a rewinding packaging unit and the like, which do not participate in the index decomposition, the units run relatively stably with small working condition change, and a fixed number can be given as an index according to the history level. And then the contribution ratio of each auxiliary unit to each main production line (such as the water supply amount ratio of each main production line) is deducted from the index obtained by decomposing each main production line in proportion.
The following examples further illustrate embodiments of the present application, but are not limited thereto.
In the embodiment of the application, taking the production conditions of the production line L1, the production line L2 and the production line L3 as examples, the following table 1 is a sample table of the historical average ton steel energy consumption calculation results of the production line for different varieties and specifications.
TABLE 1
Table 2 shows the monthly production schedule of line L1, line L2, line L3 for different specifications.
TABLE 2
Table 3 shows the energy consumption index design table of each medium in the production line L1, L2 and L3 after the decomposition.
TABLE 3 Table 3
The production line L1, the production line L2 and the production line L3 carry out energy consumption index distribution according to the method of the application, thereby improving the planned decomposition efficiency, being more in line with the actual working conditions of each production line and ensuring the smooth production of the production line.
Fig. 3 is a block diagram illustrating a structure of a cold rolling mill production line energy consumption index decomposing apparatus according to an embodiment of the present application.
Referring to fig. 3, a cold rolling mill line energy consumption index decomposition apparatus 300 according to an embodiment of the present application, the cold rolling mill line energy consumption index decomposition apparatus 300 includes: a first calculation unit 301, a second calculation unit 302, and a third calculation unit 303.
The first calculation unit 301 is configured to obtain steel coil production plan information of each production line of a cold rolling mill, calculate estimated energy consumption of each production line through a first calculation model based on the steel coil production plan information, and calculate estimated total energy consumption according to the estimated energy consumption.
The second calculating unit 302 is configured to calculate a ratio of the estimated energy consumption pre-estimated total energy consumption of each production line, and calculate and decompose the planned total energy consumption of each production line through a second calculation model based on the ratio, so as to obtain a comprehensive energy consumption index of each production line.
And a third calculation unit 303, configured to calculate and decompose the integrated energy consumption index through a third calculation model, so as to obtain each medium energy consumption index of each production line.
Referring to fig. 4, fig. 4 shows a schematic diagram of a computer system suitable for use in implementing an embodiment of the application.
As shown in fig. 4, the computer system 400 includes a central processing unit (Central Processing Unit, CPU) 401 that can perform various appropriate actions and processes, such as performing the methods described in the above embodiments, according to a program stored in a Read-Only Memory (ROM) 402 or a program loaded from a storage section 408 into a random access Memory (Random Access Memory, RAM) 403. In the RAM 403, various programs and data required for the system operation are also stored. The CPU 1101, ROM 402, and RAM 403 are connected to each other by a bus 404. An Input/Output (I/O) interface 405 is also connected to bus 404.
The following components are connected to the I/O interface 405: an input section 406 including a keyboard, a mouse, and the like; an output portion 407 including a Cathode Ray Tube (CRT), a liquid crystal display (Liquid Crystal Display, LCD), and the like, a speaker, and the like; a storage section 408 including a hard disk or the like; and a communication section 409 including a network interface card such as a LAN (Local Area Network ) card, a modem, or the like. The communication section 409 performs communication processing via a network such as the internet. The drive 410 is also connected to the I/O interface 405 as needed. A removable medium 411 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed on the drive 410 as needed, so that a computer program read therefrom is installed into the storage section 408 as needed.
In particular, according to embodiments of the present application, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 409 and/or installed from the removable medium 411. When executed by a Central Processing Unit (CPU) 401, performs the various functions defined in the system of the present application.
It should be noted that, the computer readable medium shown in the embodiments of the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-Only Memory (ROM), an erasable programmable read-Only Memory (Erasable Programmable Read Only Memory, EPROM), flash Memory, an optical fiber, a portable compact disc read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present application, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Where each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present application may be implemented by software, or may be implemented by hardware, and the described units may also be provided in a processor. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
According to an exemplary embodiment of the present application, the present application also proposes a computer-readable storage medium having at least one program code stored therein, the at least one program code being loaded and executed by a processor to implement the operations performed by the cold mill production line energy consumption index decomposition method as described above.
According to an exemplary embodiment of the present application, an electronic device is also provided, which includes a memory and a processor, where the memory stores a computer program, and the processor executes the computer program to implement the operations performed by the cold rolling mill production line energy consumption index decomposition method as described above.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functions of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the application. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
According to the technical scheme, the application has at least the following advantages and positive effects:
firstly, the proposal provided by the application can solve the problem that the energy consumption index is unreasonable to be formulated when the energy consumption index is formulated in each production line of the cold rolling mill, and the application reasonably formulates the energy consumption index of each production line of the cold rolling mill based on historical big data by considering the actual conditions of different production lines and the energy consumption change when different varieties and specifications are produced, thereby greatly improving the formulation efficiency of the energy consumption index and reducing the energy consumption.
The scheme provided by the application is suitable for energy management of various automatic production lines, has great popularization value, and the more the production lines are, the more the variety specifications are, the more the advantages of the method are obvious.
Thirdly, by adopting the scheme provided by the application, the energy consumption index of each production line of the cold rolling mill is reasonably formulated based on the historical big data, so that the problems that the index is separated from reality and is difficult to execute due to the fact that the actual working condition of each production line is not fully considered by subjective experience and the energy medium consumption difference of electricity, water, gas and the like caused by the control parameter change in the production of different varieties and specifications is not fully considered due to the fact that no reference data is available are avoided, the energy waste is reduced, and the counted production data is also used for carrying out production guidance for the subsequent production.
While the application has been described with reference to several exemplary embodiments, it is to be understood that the terminology used is intended to be in the nature of words of description and of limitation. As the present application may be embodied in several forms without departing from the spirit or essential attributes thereof, it should be understood that the above-described embodiments are not limited by any of the details of the foregoing description, but rather should be construed broadly within its spirit and scope as defined in the appended claims, and therefore all changes and modifications that fall within the metes and bounds of the claims, or equivalences of such metes and bounds are therefore intended to be embraced by the appended claims.
Claims (10)
1. The method for decomposing the energy consumption index of the production line of the cold rolling mill is characterized by comprising the following steps of:
acquiring steel coil production plan information of each production line of a cold rolling mill, calculating estimated energy consumption of each production line through a first calculation model based on the steel coil production plan information, and pre-calculating estimated total energy consumption according to the estimated energy consumption;
calculating the ratio of the estimated energy consumption pre-estimated total energy consumption of each production line, and calculating and decomposing the planned total energy consumption of each production line through a second calculation model based on the ratio to obtain the comprehensive energy consumption index of each production line;
and calculating and decomposing the comprehensive energy consumption index through a third calculation model to obtain the energy consumption index of each medium of each production line.
2. The method of claim 1, wherein the first computational model comprises:
E i estimate ＝∑ i E ij (comprehensive) *P ij
Wherein E is i estimate The estimated energy consumption E of producing steel j coils for the production line i ij (comprehensive) Comprehensive needed for producing steel j coil for production line iConsumption per ton of steel, P ij And (5) producing the planned output of the steel coil of the steel grade j for the production line i.
3. The method according to claim 2, wherein the E ij (comprehensive) The calculation formula of (2) is as follows:
wherein E is ij (comprehensive) Comprehensive ton steel consumption E required for producing steel coil x of steel grade j for said production line i xn To produce the comprehensive energy consumption of the n steel coils x of steel types j, P xn The weight of the steel coil x is n steel types j.
4. The method of claim 1, wherein said pre-calculating the estimated total energy consumption from the estimated energy consumption comprises:
and pre-adding the estimated energy consumption of each production line to obtain the estimated total energy consumption.
5. The method of claim 1, wherein the second computational model comprises:
wherein E is i branch (heddle) E is the comprehensive energy consumption index of the production line i i estimate The estimated energy consumption E of producing steel j coils for the production line i Total estimate of For the estimated total energy consumption of each production line E Meter with a meter body The planned total energy consumption for the production line i.
6. The method of claim 1, wherein the third computational model comprises:
wherein E is i point (Medium) Energy consumption indexes, E of each medium for producing steel j coils of the production line i ij (Medium) And (5) the medium ton steel consumption required by producing steel coils of steel types j for the production line i.
7. The method according to claim 6, wherein the E ij (Medium) The calculation formula of (2) is as follows:
wherein E is Electric xn The electric energy consumption for producing n steel coils x of steel type j is required.
8. A cold rolling mill production line energy consumption index decomposition device, characterized in that the device comprises:
the first calculation unit is used for acquiring steel coil production plan information of each production line of the cold rolling mill, calculating estimated energy consumption of each production line through a first calculation model based on the steel coil production plan information, and then pre-calculating estimated total energy consumption according to the estimated energy consumption;
the second calculation unit is used for calculating the ratio of the estimated energy consumption pre-estimated total energy consumption of each production line, and calculating and decomposing the planned total energy consumption of each production line through a second calculation model based on the ratio to obtain the comprehensive energy consumption index of each production line;
and the third calculation unit is used for calculating and decomposing the comprehensive energy consumption index through a third calculation model to obtain the energy consumption index of each medium of each production line.
9. A computer readable storage medium having stored therein at least one program code loaded and executed by a processor to implement operations performed by the method of any of claims 1 to 7.
10. An electronic device comprising a memory and a processor, the memory storing a computer program, wherein the processor when executing the computer program is configured to perform the operations performed by the method of any one of claims 1 to 7.
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| CN117608230B (en) * | 2024-01-23 | 2024-04-16 | 魁伯恩重工(兰陵)有限公司 | Mining equipment control system and method |
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