CN116954180A - Multi-station cooperative control system and method based on digital energy blasting station - Google Patents
Multi-station cooperative control system and method based on digital energy blasting station Download PDFInfo
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- CN116954180A CN116954180A CN202311218332.2A CN202311218332A CN116954180A CN 116954180 A CN116954180 A CN 116954180A CN 202311218332 A CN202311218332 A CN 202311218332A CN 116954180 A CN116954180 A CN 116954180A
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- 238000005422 blasting Methods 0.000 title claims abstract description 87
- 238000000034 method Methods 0.000 title claims abstract description 59
- 238000005265 energy consumption Methods 0.000 claims abstract description 151
- 238000007664 blowing Methods 0.000 claims abstract description 66
- 238000004519 manufacturing process Methods 0.000 claims abstract description 48
- 238000004088 simulation Methods 0.000 claims abstract description 41
- 238000012163 sequencing technique Methods 0.000 claims abstract description 27
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 42
- 229910052760 oxygen Inorganic materials 0.000 claims description 42
- 239000001301 oxygen Substances 0.000 claims description 42
- 230000003993 interaction Effects 0.000 claims description 12
- 238000012216 screening Methods 0.000 claims description 9
- 238000000354 decomposition reaction Methods 0.000 claims description 2
- 238000003723 Smelting Methods 0.000 abstract description 5
- 239000002184 metal Substances 0.000 abstract description 4
- 238000004458 analytical method Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention discloses a multi-station cooperative control system and a method thereof based on a digital energy blowing station, relates to the technical field of blowing station control, and solves the technical problems that the energy consumption of the blowing station and the production efficiency of metal smelting are difficult to balance, and the energy consumption is high in the prior art; the invention associates the parameter sequence with the digital energy blasting station corresponding to the screened energy consumption parameter to generate a standard station sequence; searching and acquiring a control sequence of the blast station in the standard station sequence through the parameter sequencing table; according to the invention, the parameter sequence with highest production efficiency of each digital energy source blasting station in the self state is obtained through simulation operation, and the balance between energy consumption and production efficiency can be realized in the cooperative control process; the control execution module completes cooperative control of a plurality of digital energy blowing stations based on a blowing station control sequence; according to the invention, the digital energy blowing stations are cooperatively controlled according to the blowing station control sequence, so that the efficiency and the precision of the cooperative control are improved.
Description
Technical Field
The invention belongs to the field of control of air blasting stations, relates to a multi-station cooperative control technology of a digital energy air blasting station, and in particular relates to a multi-station cooperative control system and a method based on the digital energy air blasting station.
Background
The digital energy source blast station refers to a blast apparatus provided for fully burning fuel in order to raise the furnace temperature during the metal smelting process. The digital energy blasting station mainly provides oxygen and hot air in the heating process, and meets the oxygen supply and heating requirements in the smelting process.
In the prior art, when a blowing station is controlled, production efficiency is mainly adopted, namely, the required oxygen supply amount and the required hot air temperature are determined based on the optimal production efficiency; when the blower station is controlled, the output of the blower station is ensured to correspond to the oxygen supply and the hot air temperature, so that the optimal production efficiency can be achieved. However, in the prior art, different production process requirements of a large-scale metal smelting factory are met through one blast station, namely, the oxygen supply and the hot air temperature corresponding to different production processes are met through one blast station, and obviously, the balance between the energy consumption and the production efficiency cannot be realized, so that the energy consumption of the blast station is larger.
The invention provides a multi-station cooperative control system and a method thereof based on a digital energy blasting station, which aim to solve the technical problems.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art; therefore, the invention provides a multi-station cooperative control system based on a digital energy blowing station and a method thereof, which are used for solving the technical problem that the energy consumption of the blowing station and the production efficiency of metal smelting are difficult to balance, so that the energy consumption is large in the prior art.
To achieve the above object, a first aspect of the present invention provides a multi-site cooperative control system based on a digital energy blower station, which includes a central control module, and a data interaction module and a control execution module connected thereto; the data interaction module is respectively connected with the database and the intelligent terminal, and the control execution module is connected with a plurality of digital energy blasting stations; the central control module performs energy consumption simulation operation on the digital energy blasting station based on the set plurality of parameter sequences to acquire a plurality of simulation operation data; extracting energy consumption parameters of the corresponding parameter sequences when the energy consumption of the digital energy blasting station is stable based on a plurality of analog operation data, and acquiring the parameter energy consumption sequences of the digital energy blasting station; and calling the parameter energy consumption sequences corresponding to the digital energy blasting stations; screening out at least one energy consumption parameter with the lowest corresponding numerical value of each parameter sequence by taking the parameter sequence as a reference; correlating the parameter sequence with the digital energy blasting station corresponding to the screened energy consumption parameter to generate a standard station sequence; the central control module acquires the production process through the data interaction module, sorts the parameter sequences acquired by analyzing the production process according to the process time sequence, and acquires a parameter sorting table; matching digital energy blasting stations for the parameter sequences in the parameter sequencing table from the standard station sequences to generate a blasting station control sequence; the control execution module completes cooperative control of a plurality of digital energy blowing stations based on a blowing station control sequence.
In the prior art, when the air blowing station is controlled, the air blowing station is controlled mainly based on the oxygen supply amount and the hot air temperature corresponding to the optimal production efficiency as control indexes, and the balance between the production efficiency and the energy consumption is difficult. The invention sets a plurality of digital energy blasting stations, carries out balance analysis on the energy consumption and the production efficiency of the digital energy blasting stations, realizes cooperative control, and reduces the energy consumption as much as possible on the basis of ensuring the production efficiency.
The parameter sequence in the invention is an important connection point between the standard station sequence and the blast station control sequence; the parameter sequence consists of oxygen supply and hot air temperature, which are important output indexes of the digital energy blasting station. In other preferred embodiments, other output metrics may be included in the parameter sequence.
The central control module is respectively communicated and/or electrically connected with the data interaction module and the control execution module; the control execution module is used for controlling the cooperative work of a plurality of digital energy blasting stations; the data interaction module is respectively communicated and/or electrically connected with the database and the intelligent terminal; the database is used for storing data, and the intelligent terminal is used for acquiring the production process.
The digital energy blowing stations are required to be reasonably configured on the output index, namely, the digital energy blowing stations are reasonably purchased according to the oxygen supply and the hot air temperature required by a factory in the daily production process, and the digital energy blowing stations matched with the digital energy blowing stations can be found in various production process links. Therefore, the optimal production efficiency can be realized under low energy consumption aiming at different process links.
Preferably, the central control module performs energy consumption simulation operation on the digital energy source air blast station based on a plurality of set parameter sequences, and the central control module comprises: extracting an oxygen supply range and a hot air temperature range according to a set step length to obtain an oxygen supply sequence and a hot air temperature sequence; extracting oxygen supply and hot air temperature from the oxygen supply sequence and the hot air temperature sequence, and combining the oxygen supply and the hot air temperature into a plurality of parameter sequences; and carrying out energy consumption simulation operation on the digital energy blasting station based on the plurality of parameter sequences, and obtaining a plurality of simulation operation data of the digital energy blasting station.
According to the invention, the oxygen supply range and the hot air temperature range are extracted through preset set step length, and the oxygen supply sequence and the hot air temperature sequence with numerical intervals are obtained. Respectively extracting from the oxygen supply sequence and the hot air temperature sequence based on production experience, and combining the oxygen supply sequence and the hot air temperature sequence into a plurality of parameter sequences; it is necessary to ensure that the combination of the oxygen supply and the hot air temperature in each parameter sequence is reasonable, i.e. the requirements of the supply and the hot air temperature may occur simultaneously.
The energy consumption simulation operation in the invention can be the actual simulation of the digital energy blowing station, or the simulation can be carried out by constructing the mapping of the digital energy blowing station in simulation software. In the simulation process, a plurality of parameter sequences are sequentially used as output indexes of the digital energy blasting station to collect energy consumption data, and time, the parameter sequences and the energy consumption data are combined into simulation operation data.
According to the invention, the parameter sequence is reasonably set, and a plurality of digital energy blasting stations are simulated based on the parameter sequence, so that respective simulation operation data are obtained. The energy consumption data of each digital energy blowing station under various output indexes can be identified from the simulation operation data, wherein the simulation is combined with the state of the digital energy blowing station, such as service life, various performance indexes and the like. The method is favorable for generating the optimal digital energy blasting station cooperative combination according to the actual production sequence.
Preferably, the extracting the energy consumption parameters of the corresponding parameter sequence when the energy consumption of the digital energy source blasting station is stable based on the plurality of analog operation data includes: extracting model operation data corresponding to each parameter sequence, and fitting an energy consumption parameter curve based on the simulation operation data; identifying an energy consumption parameter when the energy consumption parameter curve tends to be stable, and taking the energy consumption parameter as stable energy consumption; and integrating each parameter sequence and the corresponding stable energy consumption into a parameter energy consumption sequence.
The simulation operation data in the invention comprises time and corresponding energy consumption parameters; and fitting an energy consumption parameter curve according to the energy consumption data acquired in real time in the simulation process. The digital energy source blower station starts from zero until reaching the output index, and the energy consumption value gradually increases until the digital energy source blower station becomes stable. And taking the energy consumption parameter in the stable state as stable energy consumption, and integrating the stable energy consumption and the parameter sequence into a parameter energy consumption sequence. The steady energy consumption may be an instantaneous value in a steady state or an average value of steady state instantaneous energy consumption.
Preferably, the screening at least one energy consumption parameter with the lowest corresponding value of each parameter sequence includes: the parameter sequence is taken as a reference, and a plurality of energy consumption parameters corresponding to the digital energy blowing stations in the parameter sequence are matched from the parameter energy consumption sequence; sorting the matched energy consumption parameters from small to large, and selecting at least one energy consumption parameter from the front column of the sorting result; the selected at least one energy consumption parameter is associated with a parameter sequence.
Each digital energy blowing station in the invention corresponds to one energy consumption parameter (stable energy consumption) in a plurality of parameter sequences. And at present, taking the parameter sequences as references, wherein the number of energy consumption parameters corresponding to each parameter sequence is the same as that of the digital energy source blasting stations, and then sorting the energy consumption parameters corresponding to each parameter sequence, and selecting the relation with the parameter science series with the minimum energy consumption parameters. In order to avoid the emergency such as the failure of the digital energy blasting station, the two minimum energy consumption parameters can be selected to be associated with the parameter sequence.
Preferably, the associating the parameter sequence with the digital energy source blasting station corresponding to the screened energy consumption parameter includes: acquiring energy consumption parameters associated with the parameter sequence, and extracting a station label of a digital energy blasting station corresponding to the energy consumption parameters; and associating the site tag with a parameter sequence associated with the corresponding energy consumption parameter, and integrating a plurality of parameter sequences and the associated site tag into a standard site sequence.
The energy consumption parameters in the invention are actually hooked with the digital energy blowing station, so that the corresponding digital energy blowing station can be determined by extracting the energy consumption parameters associated with the parameter sequence, and the station label of the digital energy blowing station is associated with the parameter sequence, so that the standard station sequence is obtained. The station labels are positive integers and are unique labels of all digital energy blowing stations; in other preferred embodiments the site tag may be determined in other ways.
In the standard station sequence, each parameter sequence corresponds to a station label, and the practical significance is that if the oxygen supply and the hot air temperature required by the process link can be determined, the digital energy blowing station with the lowest energy consumption can be obtained by searching in the standard station sequence. And a data foundation is laid for reducing the working energy consumption of the digital energy blasting station.
Preferably, the step of sorting the parameter sequences obtained by the analytical production process according to the process time sequence to obtain a parameter sorting table includes: the method comprises the steps of obtaining corresponding process links by a decomposition production process, and obtaining corresponding parameter sequences under the optimal production efficiency state of each process link; and sequencing the parameter sequences of the process links according to the sequence of the process links in the production process, and integrating the blasting time of the process links to obtain a parameter sequencing table.
After the analog analysis of several digital energy blowing stations is completed, the actual cooperative control is required. The invention analyzes the production process to be carried out to obtain each process link; and determining the optimal oxygen supply and the optimal hot air temperature under the condition of ensuring the optimal production efficiency of each process link, namely the parameter sequence corresponding to each process link. And sequencing the parameter sequences according to the sequencing of the process links in the production process flow to obtain a parameter sequencing table.
And sequentially matching the parameter sequences in the parameter sorting table in the standard site sequences, so that each parameter sequence in the parameter sorting table can be matched with a corresponding site tag. The cooperative work of the digital energy air blast station can be realized by combining the working time required by the digital energy air compression station in each process link and combining the station labels.
Preferably, the matching digital energy source blast station for the parameter sequence in the parameter sorting table from the standard station sequence comprises: sequentially extracting parameter sequences in a parameter sequencing table, and respectively marking the oxygen supply and the hot air temperature in the parameter sequences as GY and RW; obtaining a matching coefficient PX by the formula px=α×gy+β×rw; searching site labels corresponding to the parameter sequences with consistent matching coefficients in the standard site sequences; and matching each parameter sequence in the parameter sequencing table to the station tag to integrate the station tag into a blasting station control sequence.
In order to realize rapid matching in the standard site sequence, the invention can integrate the oxygen supply amount in the parameter sequence and the hot air temperature to generate a matching coefficient. Matching is performed in a standard site sequence by matching coefficients. It should be noted that, α and β are both proportional coefficients greater than 0, and α/β is greater than 100000, and the proportional coefficients are set to distinguish the performance of the oxygen supply amount and the hot air temperature in the matching coefficients.
The second aspect of the invention provides a multi-station cooperative control method based on a digital energy blasting station, which comprises the following steps: performing energy consumption simulation operation on the digital energy blasting station based on the set plurality of parameter sequences to acquire a plurality of simulation operation data; extracting energy consumption parameters of the corresponding parameter sequences when the energy consumption of the digital energy blasting station is stable based on a plurality of analog operation data, and acquiring the parameter energy consumption sequences of the digital energy blasting station; a parameter energy consumption sequence corresponding to a plurality of digital energy blasting stations is called; screening out at least one energy consumption parameter with the lowest corresponding numerical value of each parameter sequence by taking the parameter sequence as a reference; correlating the parameter sequence with the digital energy blasting station corresponding to the screened energy consumption parameter to generate a standard station sequence; wherein, the parameter sequence consists of oxygen supply and hot air temperature; sequencing a parameter sequence obtained by analyzing a production process according to a process time sequence to obtain a parameter sequencing table; matching digital energy blasting stations for the parameter sequences in the parameter sequencing table from the standard station sequences to generate a blasting station control sequence; and performing cooperative control of a plurality of digital energy blowing stations based on the blowing station control sequence.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention takes the parameter sequences as the reference, and screens out at least one energy consumption parameter with the lowest corresponding numerical value of each parameter sequence; correlating the parameter sequence with the digital energy blasting station corresponding to the screened energy consumption parameter to generate a standard station sequence; searching and acquiring a control sequence of the blast station in the standard station sequence through the parameter sequencing table; according to the invention, the parameter sequence with highest production efficiency of each digital energy source blasting station in the self state is obtained through simulation operation, and the balance between energy consumption and production efficiency can be realized in the cooperative control process.
2. According to the invention, a digital energy blasting station is matched for a parameter sequence in a parameter sequencing table from a standard station sequence, and a blasting station control sequence is generated; the control execution module completes cooperative control of a plurality of digital energy blowing stations based on a blowing station control sequence; according to the invention, the digital energy blowing stations are cooperatively controlled according to the blowing station control sequence, so that the efficiency and the precision of the cooperative control are improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the system principle of the present invention;
FIG. 2 is a schematic diagram of the method steps of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, an embodiment of a first aspect of the present invention provides a multi-station cooperative control system and a method thereof based on a digital energy blower station, including a central control module, and a data interaction module and a control execution module connected with the central control module; the data interaction module is respectively connected with the database and the intelligent terminal, and the control execution module is connected with a plurality of digital energy blasting stations; the central control module performs energy consumption simulation operation on the digital energy blasting station based on the set plurality of parameter sequences to acquire a plurality of simulation operation data; extracting energy consumption parameters of the corresponding parameter sequences when the energy consumption of the digital energy blasting station is stable based on a plurality of analog operation data, and acquiring the parameter energy consumption sequences of the digital energy blasting station; and calling the parameter energy consumption sequences corresponding to the digital energy blasting stations; screening out at least one energy consumption parameter with the lowest corresponding numerical value of each parameter sequence by taking the parameter sequence as a reference; correlating the parameter sequence with the digital energy blasting station corresponding to the screened energy consumption parameter to generate a standard station sequence; the central control module acquires the production process through the data interaction module, sorts the parameter sequences acquired by analyzing the production process according to the process time sequence, and acquires a parameter sorting table; matching digital energy blasting stations for the parameter sequences in the parameter sequencing table from the standard station sequences to generate a blasting station control sequence; the control execution module completes cooperative control of a plurality of digital energy blowing stations based on a blowing station control sequence.
The first step of the embodiment is that a central control module carries out energy consumption simulation operation on a digital energy blowing station based on a plurality of set parameter sequences to acquire a plurality of simulation operation data; and extracting energy consumption parameters of the corresponding parameter sequence when the energy consumption of the digital energy blasting station is stable based on a plurality of analog operation data, and obtaining the parameter energy consumption sequence of the digital energy blasting station.
Firstly, determining an oxygen supply range and a hot air temperature range according to oxygen supply and hot air temperature required in the historical production process of a factory. The oxygen supply range is assumed to be [100, 10000], the unit is cubic meters per hour, the hot air temperature range is assumed to be [300, 1200], and the unit is the temperature. Extracting the oxygen supply range according to the set step length of 100 cubic meters per hour to obtain an oxygen supply sequence [100, 200, 300, … …,10000]; extracting the hot air temperature range according to the set step length of 100 ℃ to obtain a hot air temperature sequence [300, 400, … …,1200].
An oxygen supply is extracted from the oxygen supply sequence, and a hot air temperature is selected from the hot air temperature sequence to form a parameter sequence, so that a plurality of parameter sequences can be combined. The parameter sequences are used as output indexes, and a plurality of digital energy blowing stations are controlled in a simulation mode according to the output indexes, so that the change relation between the energy consumption data and time can be obtained in the simulation process, and the simulation operation data of each digital energy blowing station can be obtained.
Then, an energy consumption parameter curve of the digital energy source blower station is fitted based on the simulation operation data. The energy consumption data may be from high to low or from low to high in the energy consumption parameter curve as the operation time increases, but eventually tends to a stable value. And identifying energy consumption values tending to be stable in each energy consumption parameter curve, taking the energy consumption values as energy consumption parameters of the digital energy blowing station under the corresponding parameter sequence, integrating the energy consumption parameters with the parameter sequence, and obtaining the parameter energy consumption sequence of the digital energy blowing station.
The second step of this embodiment is to call the parameter energy consumption sequence corresponding to several digital energy blowing stations; screening out at least one energy consumption parameter with the lowest corresponding numerical value of each parameter sequence by taking the parameter sequence as a reference; and correlating the parameter sequence with the digital energy blasting station corresponding to the screened energy consumption parameter to generate a standard station sequence.
The site tag is set for a plurality of existing digital energy blowing stations, and the digital energy blowing stations can be marked directly through positive integers such as 1,2,3, … and the like to serve as the site tag. And classifying the energy consumption parameters in the parameter energy sequences by using the parameter sequences, wherein each parameter sequence corresponds to a plurality of energy consumption parameters, selecting the smallest energy consumption parameter from the energy consumption parameters, associating the station label of the digital energy blowing station corresponding to the smallest energy consumption parameter with the corresponding parameter sequence, and integrating a plurality of parameter sequences and the corresponding associated station label into a standard station sequence.
In other preferred embodiments, to avoid problems with a digital energy blowing station, the station labels of the two digital energy blowing stations with the lowest energy consumption parameters can be associated for each parameter sequence, and when a digital energy blowing station fails, another digital energy blowing station can be used instead, providing a remedy to balance production efficiency and energy consumption.
The third step of this embodiment is that the central control module obtains the production process through the data interaction module, and sorts the parameter sequence obtained by analyzing the production process according to the process time sequence, so as to obtain the parameter sorting table; matching digital energy blasting stations for the parameter sequences in the parameter sequencing table from the standard station sequences to generate a blasting station control sequence; the control execution module completes cooperative control of a plurality of digital energy blowing stations based on a blowing station control sequence.
Then, the production process (flow) to be carried out by a factory is required to be obtained, the production process is decomposed into a plurality of process links, wherein the process links refer to the process processes requiring participation of the digital energy blowing stations and different required output indexes, and the participation time of the digital energy blowing stations in each process link is required to be identified.
Combining the oxygen supply amount and the hot air temperature required by the process links into a parameter sequence, arranging the parameter sequences of the process links according to the sequence, and sequentially searching and matching in a standard site sequence based on the parameter sequences to obtain corresponding site labels. And splicing the matched station labels in sequence to generate the blast station control sequence. The control execution module controls the coordinated operation of a plurality of digital energy blowing stations according to the blowing station control sequence and the duration corresponding to each process link.
In order to facilitate matching site labels, the embodiment integrates the oxygen supply amount and the hot air temperature in the parameter sequence into a matching coefficient. The specific calculation formula is px=α×gy+β×rw; taking the assumption as the reference, GY E [100, 10000], RW E [300, 1200]; taking α=100000, β=1, gy=1000, rw=1200 as an example, the matching coefficient=100000×100+1×1200= 10001200. Therefore, α should be much larger than β for the purpose of separating the oxygen supply from the hot air temperature in the matching factor, although α is much smaller than β can be achieved.
The partial data in the formula is obtained by removing dimension and taking the numerical value for calculation, and the formula is obtained by simulating a large amount of acquired data through software and is closest to the real situation; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or are obtained through mass data simulation.
The working principle of the invention is as follows: performing energy consumption simulation operation on the digital energy blasting station based on the set plurality of parameter sequences to acquire a plurality of simulation operation data; and extracting energy consumption parameters of the corresponding parameter sequence when the energy consumption of the digital energy blasting station is stable based on a plurality of analog operation data, and obtaining the parameter energy consumption sequence of the digital energy blasting station. A parameter energy consumption sequence corresponding to a plurality of digital energy blasting stations is called; screening out at least one energy consumption parameter with the lowest corresponding numerical value of each parameter sequence by taking the parameter sequence as a reference; and correlating the parameter sequence with the digital energy blasting station corresponding to the screened energy consumption parameter to generate a standard station sequence. Sequencing a parameter sequence obtained by analyzing a production process according to a process time sequence to obtain a parameter sequencing table; matching digital energy blasting stations for the parameter sequences in the parameter sequencing table from the standard station sequences to generate a blasting station control sequence; and performing cooperative control of a plurality of digital energy blowing stations based on the blowing station control sequence.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (8)
1. The multi-station cooperative control system based on the digital energy blasting station comprises a central control module, and a data interaction module and a control execution module which are connected with the central control module; the data interaction module is respectively connected with the database and the intelligent terminal, and the control execution module is connected with a plurality of digital energy blasting stations; the method is characterized in that:
the central control module performs energy consumption simulation operation on the digital energy blasting station based on the set plurality of parameter sequences to acquire a plurality of simulation operation data; extracting energy consumption parameters of the corresponding parameter sequences when the energy consumption of the digital energy blasting station is stable based on a plurality of analog operation data, and acquiring the parameter energy consumption sequences of the digital energy blasting station; the method comprises the steps of,
a parameter energy consumption sequence corresponding to a plurality of digital energy blasting stations is called; screening out at least one energy consumption parameter with the lowest corresponding numerical value of each parameter sequence by taking the parameter sequence as a reference; correlating the parameter sequence with the digital energy blasting station corresponding to the screened energy consumption parameter to generate a standard station sequence; wherein, the parameter sequence consists of oxygen supply and hot air temperature;
the central control module acquires the production process through the data interaction module, sorts the parameter sequences acquired by analyzing the production process according to the process time sequence, and acquires a parameter sorting table; matching digital energy blasting stations for the parameter sequences in the parameter sequencing table from the standard station sequences to generate a blasting station control sequence; the control execution module completes cooperative control of a plurality of digital energy blowing stations based on a blowing station control sequence.
2. The digital energy blast station based multi-site cooperative control system according to claim 1, wherein the central control module performs energy consumption simulation operation on the digital energy blast station based on a set number of parameter sequences, and comprises:
extracting an oxygen supply range and a hot air temperature range according to a set step length to obtain an oxygen supply sequence and a hot air temperature sequence; extracting oxygen supply and hot air temperature from the oxygen supply sequence and the hot air temperature sequence, and combining the oxygen supply and the hot air temperature into a plurality of parameter sequences;
performing energy consumption simulation operation on the digital energy blasting station based on a plurality of parameter sequences to acquire a plurality of simulation operation data of the digital energy blasting station; the energy consumption simulation operation is performed through experiments or software.
3. The digital energy blowing station-based multi-site cooperative control system according to claim 1, wherein the extracting the energy consumption parameter of the corresponding parameter sequence when the digital energy blowing station energy consumption is stable based on the plurality of analog operation data comprises:
extracting model operation data corresponding to each parameter sequence, and fitting an energy consumption parameter curve based on the simulation operation data; the simulation operation data comprise time and corresponding energy consumption parameters;
identifying an energy consumption parameter when the energy consumption parameter curve tends to be stable, and taking the energy consumption parameter as stable energy consumption; integrating each parameter sequence and corresponding stable energy consumption into a parameter energy consumption sequence; wherein the energy consumption parameter is an energy consumption value.
4. The multi-station cooperative control system based on a digital energy blower station according to claim 3, wherein the screening the at least one energy consumption parameter with the lowest corresponding value of each parameter sequence comprises:
the parameter sequence is taken as a reference, and a plurality of energy consumption parameters corresponding to the digital energy blowing stations in the parameter sequence are matched from the parameter energy consumption sequence;
sorting the matched energy consumption parameters from small to large, and selecting at least one energy consumption parameter from the front column of the sorting result; the selected at least one energy consumption parameter is associated with a parameter sequence.
5. The digital energy blast station based multi-site cooperative control system according to claim 4, wherein said associating the parameter sequence with the screened energy consumption parameter corresponding digital energy blast station comprises:
acquiring energy consumption parameters associated with the parameter sequence, and extracting a station label of a digital energy blasting station corresponding to the energy consumption parameters; wherein the site tag is a positive integer;
and associating the site tag with a parameter sequence associated with the corresponding energy consumption parameter, and integrating a plurality of parameter sequences and the associated site tag into a standard site sequence.
6. The digital energy blower station-based multi-station cooperative control system according to claim 1, wherein the step of sorting the parameter sequences obtained by the analytical production process according to the process time sequence to obtain a parameter sorting table includes:
the method comprises the steps of obtaining corresponding process links by a decomposition production process, and obtaining corresponding parameter sequences under the optimal production efficiency state of each process link;
and sequencing the parameter sequences of the process links according to the sequence of the process links in the production process, and integrating the blasting time of the process links to obtain a parameter sequencing table.
7. The digital energy blast station based multi-site cooperative control system according to claim 1, wherein said matching digital energy blast station for parameter sequences in a parameter ranking table from a standard site sequence comprises:
sequentially extracting parameter sequences in a parameter sequencing table, and respectively marking the oxygen supply and the hot air temperature in the parameter sequences as GY and RW; obtaining a matching coefficient PX by the formula px=α×gy+β×rw; wherein, alpha and beta are both proportional coefficients greater than 0, and alpha > > beta;
searching site labels corresponding to the parameter sequences with consistent matching coefficients in the standard site sequences; and matching each parameter sequence in the parameter sequencing table to the station tag to integrate the station tag into a blasting station control sequence.
8. The multi-station cooperative control method based on the digital energy source air-blast station is applied to the multi-station cooperative control system based on the digital energy source air-blast station as claimed in any one of claims 1 to 7, and is characterized by comprising the following steps:
performing energy consumption simulation operation on the digital energy blasting station based on the set plurality of parameter sequences to acquire a plurality of simulation operation data; extracting energy consumption parameters of the corresponding parameter sequences when the energy consumption of the digital energy blasting station is stable based on a plurality of analog operation data, and acquiring the parameter energy consumption sequences of the digital energy blasting station;
a parameter energy consumption sequence corresponding to a plurality of digital energy blasting stations is called; screening out at least one energy consumption parameter with the lowest corresponding numerical value of each parameter sequence by taking the parameter sequence as a reference; correlating the parameter sequence with the digital energy blasting station corresponding to the screened energy consumption parameter to generate a standard station sequence; wherein, the parameter sequence consists of oxygen supply and hot air temperature;
sequencing a parameter sequence obtained by analyzing a production process according to a process time sequence to obtain a parameter sequencing table; matching digital energy blasting stations for the parameter sequences in the parameter sequencing table from the standard station sequences to generate a blasting station control sequence; and performing cooperative control of a plurality of digital energy blowing stations based on the blowing station control sequence.
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